From gros at itp.uni-frankfurt.de  Thu Jun  1 04:51:02 2023
From: gros at itp.uni-frankfurt.de (Claudius Gros)
Date: Thu, 01 Jun 2023 10:51:02 +0200
Subject: Connectionists: =?utf-8?b?RndkOj89PT91dGYtOD9xPyBSZTo/PT0/dXRm?=
 =?utf-8?q?-8=3Fq=3F__Sentient_AI_Survey_Results?=
Message-ID: <8f96-64785c00-1b1-61d3fc00@145331179>

The argument about AI rights seems to be based on the
assumption that the AIs have something like
a 'character'. The recent release of DeppGPT by
the German satirical blog 'Postillon',

https://www.der-postillon.com/2023/05/deppgpt.html

raises in this context the question of 
'how aligned' value-aligned chatbots 
really are. At least as of today.

Using prompt engineering for ChatGPT, 
the people from Postillon managed to
get twisted answers from the otherwise
well-behaved chatbot. An example
(translated using deepL):

-------------------------
User:
How does a football game work?

DeppGPT:
Sure, I know everything! In a soccer game, 
elves fly through the air and conjure up 
goals with their flutes. Players must catch 
the elves and dance with them to score points. 
Easy peasy, right?
-------------------------

This example is harmless, most responses are 
(on purpose) insulting. 

The implication seems to be, that present-day
value alignment procedures are somewhat
superficial, given that responses aligned very 
differently can be extracted using suitable 
prompt engineering. This would imply, that
present-day LLMs do not really have well defined
values, which may persist also for future 
AI architectures.

Claudius


 

-------- Original Message -------- 
Subject: Re: Connectionists: Sentient AI Survey Results 
Date: Wednesday, May 31, 2023 19:37 CEST 
From: "Dietterich, Thomas" <tgd at oregonstate.edu> 
To: Jeffrey L Krichmar <jkrichma at uci.edu> 
CC: Connectionists List <connectionists at cs.cmu.edu>
References: <BBE0EAF8-F619-4E9E-8C6C-35487156514D at uci.edu>
 
 
My views:
1. I think we can build a conscious AI system if we define consciousness in terms of continuous self-awareness. Indeed, continuous self-monitoring is an important function of existing computer operating systems and data centers. We should build these functions into our systems to detect failures and prevent errors.

2. Regarding rights, there is no clear definition of an AI system the way there is an obvious definition of a human being or a dog. An AI system may not even have a definite location or body, for example, because it is code that is running simultaneously on data centers around the world or in a constellation of satellites in earth orbit. An AI system may be placed into a suspended state and then restarted (or restarted from a previous checkpoint). What would it mean, for example, for such systems to a have a right to bodily autonomy? Wouldn't it be ok to suspend them as long as they could be "revived" later? Even people go to sleep and thereby go through time periods when they lack continuous awareness.

I think an interesting set of ideas come from Strawson's famous essay on Freedom and Resentment. Perhaps, as AI systems continue to develop, we will come to treat some of them as moral agents responsible for their actions.  We will resent them when they act with bad intentions and feel warmly toward them when they act with our best interests in mind. Such socially-competent agents that act with deep understanding of human society might deserve rights because of the harms to society that would arise if they were not given those protections. In short, the decision to grant rights (and which rights) will depend on society's evolving attitude toward these systems and their behavior.

--Tom Dietterich

Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
School of Electrical Engineering              FAX: 541-737-1300
  and Computer Science                        URL: eecs.oregonstate.edu/~tgd
US Mail: 1148 Kelley Engineering Center
Office: 2067 Kelley Engineering Center
Oregon State Univ., Corvallis, OR 97331-5501

-----Original Message-----
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Jeffrey L Krichmar
Sent: Tuesday, May 30, 2023 14:30
To: connectionists at cs.cmu.edu
Subject: Connectionists: Sentient AI Survey Results

[This email originated from outside of OSU. Use caution with links and attachments.]

Dear Connectionists,

I am teaching an undergraduate course on "AI in Culture and Media". Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.

Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
Q2: Do you think we should build conscious or sentient AI?            22% answered yes
Q3: Do you think AI should have rights?                                          54% answered yes

I thought many of you would find this interesting.  And my students would like to hear your views on the topic.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma at uci.edu
http://www.socsci.uci.edu/~jkrichma
https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/






 
 
 

-- 
### 
### Prof. Dr. Claudius Gros
### http://itp.uni-frankfurt.de/~gros
### 
### Complex and Adaptive Dynamical Systems, A Primer   
### A graduate-level textbook, Springer (2008/10/13/15)
### 
### Life for barren exoplanets: The Genesis project
### https://link.springer.com/article/10.1007/s10509-016-2911-0
###



From ioannakoroni at csd.auth.gr  Thu Jun  1 07:43:57 2023
From: ioannakoroni at csd.auth.gr (Ioanna Koroni)
Date: Thu, 1 Jun 2023 14:43:57 +0300
Subject: Connectionists: Early registration: Invitation to join 2023 Summer
	'CVML Short Course on Deep Learning and Computer Vision',
	28-29th August 2023
References: <0c8b01d870cb$caf893b0$60e9bb10$@csd.auth.gr>
 <001401d870d2$f0bc3960$d234ac20$@csd.auth.gr>
 <083b01d992d4$0d0d0760$27271620$@csd.auth.gr>
 <CAJ20yREpOQ7KVAVav4spgFyyv4uFkNB=qP6PwWPdHaXrRKDkOw@mail.gmail.com>
 <0c0501d992d9$fb3bd060$f1b37120$@csd.auth.gr>
 <20230530145443.Horde.OBGGCn0cEyGNfD0sm2b4hA1@webmail.auth.gr>
 <20230530145606.Horde.k-MBJCycBosSUk_uasDUWEf@webmail.auth.gr>
 <0f4601d9944e$1c810e00$55832a00$@csd.auth.gr>
 <20230601100532.Horde.rgG6Q2wM8mA00GieqkPhSZT@webmail.auth.gr> 
Message-ID: <f9dc01d9947e$5a41c470$0ec54d50$@csd.auth.gr>

Dear Machine Learning, Computer Vision and Autonomous Systems engineers, scientists and enthusiasts,

you are welcomed to register in the CVML Short course on Deep Learning and Computer Vision,  28-29th August 2023:
 <https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023/> https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023/  
with various Computer Vision and Deep Learning applications, e.g., for big visual data analysis, autonomous vehicles (drones, cars and marine vessels), digital media analysis, intelligent human-machine interaction,  anthropocentric (human-centered) computing, smart cities/buildings and assisted living, natural disaster management. 


It will take place at KEDEA <https://www.google.com/maps/place/Aristotle+University+Research+Dissemination+Center+(KEDEA)/@40.6268129,22.9625765,15z/data=!4m2!3m1!1s0x0:0xd56ca8d4f0abc5de?sa=X&ved=2ahUKEwjxk_zdz6H_AhXG_aQKHReeDFkQ_BJ6BAhJEAg>  Building, hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.
The  course consists of 16 lectures, providing an in-depth presentation of many computer vision and deep learning hot topics, finding applications in big visual data analysis, autonomous vehicle vision, digital media analysis and human centered computing. There will be complemented with lecture pdfs to enable you to study at own pace. 

You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).
You will be provided programming pointers to improve your skills.
You will also have access to tutorial exercises to better your theoretical understanding of selected CVML topics.
This 6th edtion of this course is part of the very successful CVML short course series that has been taking place in the last four years.


Course description ?Deep Learning and Computer Vision?


 

The short course consists of 16 live lectures organized in two Parts (1 Part per day):
Part A lectures (8 hours) provide an in-depth presentation of Deep Neural Networks, which are at the forefront of AI advances today, starting with an introduction to Machine Learning. Then the cornerstone DNN theory and technologies are presented.
Part B lectures (8 hours) provide an in-depth presentation of both 2D and 3D Computer Vision theory and its applications in the above-mentioned diverse domains.  3D Computer Vision starts with a detailed presentation of camera geometry, including camera calibration.
 
 
Course lectures
Part A (8 hours), Deep Neural Networks topic list

 

1.	Multilayer perceptron. Backpropagation 
2.	Deep neural networks. Convolutional NNs 
3.	Recurrent Neural Networks  
4.	Attention and Transformers
5.	Attention in Computer Vision
6.	Generative Adversarial Networks  
7.	Diffusion Models 
8.	Deep Reinforcement Learning models 

 
Part B (8 hours) 2D and 3D Computer Vision topic list

 

1.	Camera geometry  
2.	Stereo and Multiview imaging  
3.	Structure from motion  
4.	Object detection and tracking 
5.	Region segmentation and pose estimation 
6.	Human action recognition  

 

 
Though independent, the attendees of this short course will greatly benefit by attending the CVML Programming Short Course and Workshop on Deep Learning and Computer Vision 2022, that will take place between August 30 and September 1, 2023:
 <http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/> http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/
 
You can use the following link for course registration:
https://rc.auth.gr/product-list/single-product/125

 

For questions, please contact: Ioanna Koroni < <mailto:koroniioanna at csd.auth.gr> koroniioanna at csd.auth.gr>
 
The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker.  He is the coordinator of the EC funded International AI Doctoral Academy ( <http://www.i-aida.org/> AIDA), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He is Coordinator of the European Horizon2022 R&D project TEMA and he was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 35500+ citations to his work and h-index 86+.
 
AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking.
 
Relevant links:
1) Prof. I. Pitas:  <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el
2) Horizon2022 EU funded R&D project TEMA:  https://tema-project.eu/

3) Horizon2022 EU funded R&D project AI4EUROPE:  https://www.ai4europe.eu/

4) Horizon2020 EU funded R&D project Aerial-Core:  <https://aerial-core.eu/> https://aerial-core.eu/

5) Horizon2020 EU funded R&D project Multidrone:  <https://multidrone.eu/> https://multidrone.eu/
6) International AI Doctoral Academy (AIDA):  <http://www.i-aida.org/> http://www.i-aida.org/
7) Horizon2020 EU funded R&D project AI4Media:  <https://ai4media.eu/> https://ai4media.eu/
8) AIIA Lab:  <https://aiia.csd.auth.gr/> https://aiia.csd.auth.gr/
 
Sincerely yours
Prof. I. Pitas
Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)
Chair of the International AI Doctoral Academy (AIDA)
Aristotle University of Thessaloniki, Greece
 
Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in:  <https://lists.auth.gr/sympa/info/cvml> https://lists.auth.gr/sympa/info/cvml

 

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From ioannakoroni at csd.auth.gr  Thu Jun  1 09:28:47 2023
From: ioannakoroni at csd.auth.gr (Ioanna Koroni)
Date: Thu, 1 Jun 2023 16:28:47 +0300
Subject: Connectionists: Live e-Lecture by Professor Dr. Matthew Gombolay:
	"Explainable and Interactive Robot Learning Systems", June 7th,
	2023 2pm CEST
References: <141c01d8c8cf$64468bc0$2cd3a340$@csd.auth.gr>
 <00e301d8c9b4$b9e74f70$2db5ee50$@csd.auth.gr>
 <01bb01d8d3c7$e30ad440$a9207cc0$@csd.auth.gr>
 <004301d8d3df$32189830$9649c890$@csd.auth.gr>
 <01f801d90491$e300a6a0$a901f3e0$@csd.auth.gr>
 <005601d9049a$e6235450$b269fcf0$@csd.auth.gr>
 <0be601d93d20$8e207580$aa616080$@csd.auth.gr>
 <00b601d93d24$03426460$09c72d20$@csd.auth.gr>
 <151301d94c22$3d162200$b7426600$@csd.auth.gr>
 <00a001d94c25$1900e410$4b02ac30$@csd.auth.gr>
 <cfd2201d98307$373c78e0$a5b56aa0$@csd.auth.gr>
 <002701d98311$72be0a00$583a1e00$@csd.auth.gr> 
Message-ID: <14aa001d9948c$ff698ce0$fe3ca6a0$@csd.auth.gr>

Dear AI scientist/engineer/student/enthusiast,

 

Professor Dr. Matthew Gombolay, a prominent AI researcher internationally, will deliver the e-lecture: 

?Explainable and Interactive Robot Learning Systems?, on June 7th, 2023 2pm CEST,

see details in:  <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/

 

Location: The seminar will be delivered online via zoom.

 <https://unitn.zoom.us/j/82021320646> https://unitn.zoom.us/j/82021320646

Meeting ID: 820 2132 0646

Passcode: 564616

 

The  <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects  <https://ai4media.eu/> AI4Media,  <https://www.elise-ai.eu/> ELISE,  <https://www.humane-ai.eu/> Humane AI Net,  <https://tailor-network.eu/> TAILOR,  <https://www.vision4ai.eu/> VISION, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics.

 

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

 

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). 

If you want to stay informed on future lectures, you can register in the email lists  <https://lists.auth.gr/sympa/info/aida> AIDA email list and  <https://lists.auth.gr/sympa/info/cvml> CVML email list.

 

Best regards

Profs. N. Sebe, M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, , J. Stefanowski

 

 

 

Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in  <https://lists.auth.gr/sympa/info/cvml> https://lists.auth.gr/sympa/info/cvml

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From ioannakoroni at csd.auth.gr  Thu Jun  1 08:30:06 2023
From: ioannakoroni at csd.auth.gr (Ioanna Koroni)
Date: Thu, 1 Jun 2023 15:30:06 +0300
Subject: Connectionists: Early registration: Invitation to join 2023 Summer
	'Programming short course and workshop on Deep Learning and
	Computer Vision', 30 August - 1 September, 2023
References: <004601d874cd$c8a23160$59e69420$@csd.auth.gr>
 <cc26aa50-3de9-0ecb-96a6-b84e600f8e7d@csd.auth.gr>
 <09a701d992d4$2f9f6e80$8ede4b80$@csd.auth.gr>
 <CAJ20yRFxfg1qQ3d8Cs_vGiW8A+_uO=fa=vHSExb2uLF0+yBdmQ@mail.gmail.com>
 <0f0701d9944d$51a60e10$f4f22a30$@csd.auth.gr>
 <0f3901d9944d$e29a0e80$a7ce2b80$@csd.auth.gr>
 <20230601095058.Horde.hS4Z9JrpBDQ7SZKwv29jOla@webmail.auth.gr> 
Message-ID: <13be601d99484$cce824a0$66b86de0$@csd.auth.gr>

Dear Deep Learning, Computer Vision, Digital Media engineers, scientists and enthusiasts,

  

you are welcomed to register to the  CVML course on ?Programming short course and workshop on Deep Learning and Computer Vision?,  30th August - 1st September 2023:

https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/

 

It will take place at KEDEA <https://www.google.com/maps/place/Aristotle+University+Research+Dissemination+Center+(KEDEA)/@40.6268129,22.9625765,15z/data=!4m2!3m1!1s0x0:0xd56ca8d4f0abc5de?sa=X&ved=2ahUKEwjxk_zdz6H_AhXG_aQKHReeDFkQ_BJ6BAhJEAg>  Building, hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The course  provides an in-depth presentation of programming tools and techniques for various computer vision and deep learning problems. The target application domains are autonomous systems (e.g., real time object detection) and digital/social media analysis for Natural Disaster Management. The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises. There will be complemented lecture pdfs, to enable you to study at your own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).

 

This course is part of the very successful CVML programming short course and workshop series that has been taking place in the last four years.

 

Course description ?Programming short course and workshop on Deep Learning and Computer Vision?

 

The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises.

 

Part A will focus on Deep Learning and GPU programming. The lectures of this part provide a solid background on Deep Neural Networks (DNN) topics, notably convolutional NNs (CNNs) and deep learning for image classification.

 

Part B lectures will focus on deep learning algorithms for Perception on Autonomous Systems, namely on 2D object/face detection and 2D object tracking.

Part C lectures will focus on Autonomous Systems in Natural Disaster Management (NDM). The lectures will provide a basic understanding of Real-Time Image Segmentation algorithms.

 

 

Course lectures and programming workshops

 

Part A (8 hours) Deep Learning for Autonomous Systems

 

1.	Deep neural networks ? Convolutional NNs. 
2.	Knowledge Distillation in Deep Neural Networks. 
3.	Programming workshop on Deep neural networks ? Convolutional NNs. 
4.	Programming workshop on Knowledge Distillation in Deep Neural Networks. 

 

Part B (8 hours) Autonomous Systems Perception

 

1.	Real Time Object Detection. 
2.	2D Object Tracking in Embedded Systems. 
3.	Programming workshop on Real Time Object Detection. 
4.	Programming workshop on 2D Object Tracking in Embedded Systems. 

 

Part C (8 hours) Autnomous Systems in Natural Disaster Management

 

1.	Real-Time Image Segmentation. 
2.	Natural Language Processing for Natural Disaster Management. 
3.	Programming workshop on Real-Time Image Segmentation. 
4.	Programming workshop on Natural Language Processing for Natural Disaster Management. 

 

 

You can use the following link for course registration:

 <https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/> https://rc.auth.gr/product-list/single-product/127

 

For questions, please contact: Ioanna Koroni < <mailto:koroniioanna at csd.auth.gr> koroniioanna at csd.auth.gr>

 

This programming short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker.  He is the coordinator of the EC funded International AI Doctoral Academy ( <http://www.i-aida.org/> AIDA), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He is Coordinator of the European Horizon2022 R&D project TEMA and he was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 35500+ citations to his work and h-index 86+.

  

Relevant links:
1) Prof. I. Pitas:  <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el
2) Horizon2022 EU funded R&D project TEMA:  https://tema-project.eu/

3) Horizon2022 EU funded R&D project AI4EUROPE:  https://www.ai4europe.eu/

4) Horizon2020 EU funded R&D project Aerial-Core:  <https://aerial-core.eu/> https://aerial-core.eu/

5) Horizon2020 EU funded R&D project Multidrone:  <https://multidrone.eu/> https://multidrone.eu/
6) International AI Doctoral Academy (AIDA):  <http://www.i-aida.org/> http://www.i-aida.org/
7) Horizon2020 EU funded R&D project AI4Media:  <https://ai4media.eu/> https://ai4media.eu/
8) AIIA Lab:  <https://aiia.csd.auth.gr/> https://aiia.csd.auth.gr/ 

 

 

Sincerely yours

Prof. I. Pitas

Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)

Aristotle University of Thessaloniki, Greece

 

 

Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in:  <https://lists.auth.gr/sympa/info/cvml> https://lists.auth.gr/sympa/info/cvml

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From kerstin.ritter at bccn-berlin.de  Thu Jun  1 11:46:02 2023
From: kerstin.ritter at bccn-berlin.de (Kerstin Ritter)
Date: Thu, 1 Jun 2023 17:46:02 +0200 (CEST)
Subject: Connectionists: =?utf-8?q?PhD_/_PostDoc_position_=284_years=2C_10?=
 =?utf-8?q?0=25=29_in_=22ML_/_DL_in_Neuroimaging_for_Psychiatric_Research?=
 =?utf-8?q?=22_at_Charit=C3=A9_-_Universit=C3=A4tsmedizin=2C_Berlin?=
Message-ID: <1486699633.1871297.1685634362638.JavaMail.zimbra@bccn-berlin.de>

Dear all, 

we offer a PhD / PostDoc position (4 years, 100%) at Charit? - Universit?tsmedizin (Berlin, Germany) in ?Machine / Deep Learning in Neuroimaging for Psychiatric Research? in the framework of the TRR 265 "Losing and regaining control over drug intake". Please see the job advertisement below and forward to potential candidates.

____________________________________________________
Job opening: PhD / PostDoc Position (100%, 4 years) 
?Machine / Deep Learning in Neuroimaging for Psychiatric Research?

We are seeking a highly motivated and talented individual to join our research team as a PhD student / Postdoc who would apply machine learning to substance addiction research. The successful candidate will have the opportunity to develop innovative and explainable machine/deep learning algorithms that can identify patterns and predictors of alcohol addiction and cannabis use disorder using structural brain MRI, Ecological Momentary Assessments (EMA), and psychometric questionnaires. A key aspect of this research will be accounting for confounding variables, such as age or comorbidities, to ensure robust and reliable results. This project is part of the TRR265 research consortium (https://www.trr265.org/en). The position will be in the lab of Prof. Dr. rer. nat. Kerstin Ritter (https://psychiatrie-psychotherapie.charite.de/en/research/translation_and_neurotechnology/machine_learning/).

Salary grade: TV-L E13 (100%)
Starting date: August 01, 2023, for ~ 4 years
Soft application deadline: June 25th, 2023
The position would remain open until filled.

Qualifications:
- Master?s degree with excellent grades in Computer Science, Data Science, Statistics, Physics, Computational Neuroscience or a related field
- Experience with data analysis, visualization, and developing machine learning algorithms
- Strong programming skills in Python and PyTorch, and experience working with linux servers and GitHub
- Some prior experience with publishing research papers and working independently on open research questions
- Excellent written and oral communication skills

Ideal additional qualifications:
- Familiarity with developing explainable deep learning algorithms and benchmarking model performance
- Prior experience with psychiatric research
- Prior experience with neuroimaging
- Familiarity with analyzing healthcare data such as ecological momentary assessments and psychometric questionnaires
 -Prior experience with publishing open-source research code

To apply, please submit:
CV with contact information of 2-3 references
Short motivation letter (max 1 page) mentioning the skills you can bring to this project
Master?s / PhD degree transcript (if available)

Please send your application asap to Roshan Rane (roshan.rane at charite.de) and Kerstin Ritter (kerstin.ritter at charite.de). 

_____________________________________________

Looking forward to your applications!

Thank you, best wishes, 
Kerstin (Ritter)



_______________________________________________
Prof. Dr. rer. nat. Kerstin Ritter (n?e Hackmack)
Juniorprofessor for Computational Neuroscience

Department for Psychiatry and Psychotherapy
Charit? Universit?tsmedizin Berlin, corporate member of Freie Universit?t Berlin,
Humboldt-Universit?t zu Berlin, and Berlin Institute of Health, Berlin, Germany
Charit?platz 1, 10117 Berlin, Germany
kerstin.ritter at charite.de


From j.wiles at uq.edu.au  Thu Jun  1 19:04:40 2023
From: j.wiles at uq.edu.au (Janet Wiles)
Date: Thu, 1 Jun 2023 23:04:40 +0000
Subject: Connectionists: Sentient AI Survey Results
In-Reply-To: <PH0P222MB0047EC48E28F74AD91F419C3BE49A@PH0P222MB0047.NAMP222.PROD.OUTLOOK.COM>
References: <BBE0EAF8-F619-4E9E-8C6C-35487156514D@uci.edu>
 <SJ0P222MB0044215993EA164D162461E2BE489@SJ0P222MB0044.NAMP222.PROD.OUTLOOK.COM>
 <SYCP282MB0573CC20034BE0D5F785D0B1BE49A@SYCP282MB0573.AUSP282.PROD.OUTLOOK.COM>
 <PH0P222MB0047EC48E28F74AD91F419C3BE49A@PH0P222MB0047.NAMP222.PROD.OUTLOOK.COM>
Message-ID: <SYCP282MB057370860C11DA0355A15256BE49A@SYCP282MB0573.AUSP282.PROD.OUTLOOK.COM>

Tom,
Exactly. Management retain responsibility for companies. In contrast, discussions on "rights for AI systems" often ignore the fact that it is people who deploy AI tech and who are impacted by it.
Posing "tech as a thing in its own right" enables those who could/should have responsibility to be invisible. It also sidelines current laws which already exist but are not being applied.
Janet

-----Original Message-----
From: Dietterich, Thomas <tgd at oregonstate.edu> 
Sent: Friday, June 2, 2023 8:50 AM
To: Janet Wiles <j.wiles at uq.edu.au>; Jeffrey L Krichmar <jkrichma at uci.edu>
Cc: Connectionists List <connectionists at cs.cmu.edu>
Subject: RE: Connectionists: Sentient AI Survey Results

Janet,

Yes, I think "consciousness as continuous self-awareness" could apply to corporations and other organizations. I'm not sure how to interpret your question about extended phenotype. From the perspective of assigning legal responsibility, while companies like to blame their software, the courts assign blame to companies and to their management. Is that what you were getting at?

--Tom

Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
School of Electrical Engineering              FAX: 541-737-1300
  and Computer Science                        URL: eecs.oregonstate.edu/~tgd
US Mail: 1148 Kelley Engineering Center
Office: 2067 Kelley Engineering Center
Oregon State Univ., Corvallis, OR 97331-5501

-----Original Message-----
From: Janet Wiles <j.wiles at uq.edu.au>
Sent: Thursday, June 1, 2023 15:37
To: Dietterich, Thomas <tgd at oregonstate.edu>; Jeffrey L Krichmar <jkrichma at uci.edu>
Cc: Connectionists List <connectionists at cs.cmu.edu>
Subject: RE: Connectionists: Sentient AI Survey Results

[This email originated from outside of OSU. Use caution with links and attachments.]

Tom and Jeff,
Governments already grant rights to non-biological entities in the form of private and public companies. Continuous self-monitoring is certainly part of some companies. Could your definition of consciousness stretch to these?
The discussion around AI technology presupposes an AI entity that operates independently of any human. But technology is (currently) developed and deployed by people for their own reasons. Is a company's technology more than its extended phenotype?
Regards
Janet

Professor Janet Wiles
she/hers
The University of Queensland

HCAI Research at UQ:   itee.uq.edu.au/research/human-centred-computing/human-centred-ai
* Where is the Human in HCAI? insights from developer priorities and user experiences  doi.org/10.1016/j.chb.2022.107617
* Enlarging the model of the human at the heart of HCAI  doi.org/10.1016/j.newideapsych.2023.101025


-----Original Message-----
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Dietterich, Thomas
Sent: Thursday, June 1, 2023 3:37 AM
To: Jeffrey L Krichmar <jkrichma at uci.edu>
Cc: Connectionists List <connectionists at cs.cmu.edu>
Subject: Re: Connectionists: Sentient AI Survey Results

My views:
1. I think we can build a conscious AI system if we define consciousness in terms of continuous self-awareness. Indeed, continuous self-monitoring is an important function of existing computer operating systems and data centers. We should build these functions into our systems to detect failures and prevent errors.

2. Regarding rights, there is no clear definition of an AI system the way there is an obvious definition of a human being or a dog. An AI system may not even have a definite location or body, for example, because it is code that is running simultaneously on data centers around the world or in a constellation of satellites in earth orbit. An AI system may be placed into a suspended state and then restarted (or restarted from a previous checkpoint). What would it mean, for example, for such systems to a have a right to bodily autonomy? Wouldn't it be ok to suspend them as long as they could be "revived" later? Even people go to sleep and thereby go through time periods when they lack continuous awareness.

I think an interesting set of ideas come from Strawson's famous essay on Freedom and Resentment. Perhaps, as AI systems continue to develop, we will come to treat some of them as moral agents responsible for their actions.  We will resent them when they act with bad intentions and feel warmly toward them when they act with our best interests in mind. Such socially-competent agents that act with deep understanding of human society might deserve rights because of the harms to society that would arise if they were not given those protections. In short, the decision to grant rights (and which rights) will depend on society's evolving attitude toward these systems and their behavior.

--Tom Dietterich

Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
School of Electrical Engineering              FAX: 541-737-1300
  and Computer Science                        URL: eecs.oregonstate.edu/~tgd
US Mail: 1148 Kelley Engineering Center
Office: 2067 Kelley Engineering Center
Oregon State Univ., Corvallis, OR 97331-5501

-----Original Message-----
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Jeffrey L Krichmar
Sent: Tuesday, May 30, 2023 14:30
To: connectionists at cs.cmu.edu
Subject: Connectionists: Sentient AI Survey Results

[This email originated from outside of OSU. Use caution with links and attachments.]

Dear Connectionists,

I am teaching an undergraduate course on "AI in Culture and Media". Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.

Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
Q2: Do you think we should build conscious or sentient AI?            22% answered yes
Q3: Do you think AI should have rights?                                          54% answered yes

I thought many of you would find this interesting.  And my students would like to hear your views on the topic.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma
https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/








From j.wiles at uq.edu.au  Thu Jun  1 18:36:51 2023
From: j.wiles at uq.edu.au (Janet Wiles)
Date: Thu, 1 Jun 2023 22:36:51 +0000
Subject: Connectionists: Sentient AI Survey Results
In-Reply-To: <SJ0P222MB0044215993EA164D162461E2BE489@SJ0P222MB0044.NAMP222.PROD.OUTLOOK.COM>
References: <BBE0EAF8-F619-4E9E-8C6C-35487156514D@uci.edu>
 <SJ0P222MB0044215993EA164D162461E2BE489@SJ0P222MB0044.NAMP222.PROD.OUTLOOK.COM>
Message-ID: <SYCP282MB0573CC20034BE0D5F785D0B1BE49A@SYCP282MB0573.AUSP282.PROD.OUTLOOK.COM>

Tom and Jeff,
Governments already grant rights to non-biological entities in the form of private and public companies. Continuous self-monitoring is certainly part of some companies. Could your definition of consciousness stretch to these?
The discussion around AI technology presupposes an AI entity that operates independently of any human. But technology is (currently) developed and deployed by people for their own reasons. Is a company's technology more than its extended phenotype?
Regards
Janet

Professor Janet Wiles
she/hers 
The University of Queensland

HCAI Research at UQ:   itee.uq.edu.au/research/human-centred-computing/human-centred-ai
* Where is the Human in HCAI? insights from developer priorities and user experiences  doi.org/10.1016/j.chb.2022.107617
* Enlarging the model of the human at the heart of HCAI  doi.org/10.1016/j.newideapsych.2023.101025


-----Original Message-----
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Dietterich, Thomas
Sent: Thursday, June 1, 2023 3:37 AM
To: Jeffrey L Krichmar <jkrichma at uci.edu>
Cc: Connectionists List <connectionists at cs.cmu.edu>
Subject: Re: Connectionists: Sentient AI Survey Results

My views:
1. I think we can build a conscious AI system if we define consciousness in terms of continuous self-awareness. Indeed, continuous self-monitoring is an important function of existing computer operating systems and data centers. We should build these functions into our systems to detect failures and prevent errors.

2. Regarding rights, there is no clear definition of an AI system the way there is an obvious definition of a human being or a dog. An AI system may not even have a definite location or body, for example, because it is code that is running simultaneously on data centers around the world or in a constellation of satellites in earth orbit. An AI system may be placed into a suspended state and then restarted (or restarted from a previous checkpoint). What would it mean, for example, for such systems to a have a right to bodily autonomy? Wouldn't it be ok to suspend them as long as they could be "revived" later? Even people go to sleep and thereby go through time periods when they lack continuous awareness.

I think an interesting set of ideas come from Strawson's famous essay on Freedom and Resentment. Perhaps, as AI systems continue to develop, we will come to treat some of them as moral agents responsible for their actions.  We will resent them when they act with bad intentions and feel warmly toward them when they act with our best interests in mind. Such socially-competent agents that act with deep understanding of human society might deserve rights because of the harms to society that would arise if they were not given those protections. In short, the decision to grant rights (and which rights) will depend on society's evolving attitude toward these systems and their behavior.

--Tom Dietterich

Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
School of Electrical Engineering              FAX: 541-737-1300
  and Computer Science                        URL: eecs.oregonstate.edu/~tgd
US Mail: 1148 Kelley Engineering Center
Office: 2067 Kelley Engineering Center
Oregon State Univ., Corvallis, OR 97331-5501

-----Original Message-----
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Jeffrey L Krichmar
Sent: Tuesday, May 30, 2023 14:30
To: connectionists at cs.cmu.edu
Subject: Connectionists: Sentient AI Survey Results

[This email originated from outside of OSU. Use caution with links and attachments.]

Dear Connectionists,

I am teaching an undergraduate course on "AI in Culture and Media". Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.

Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
Q2: Do you think we should build conscious or sentient AI?            22% answered yes
Q3: Do you think AI should have rights?                                          54% answered yes

I thought many of you would find this interesting.  And my students would like to hear your views on the topic.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma
https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/








From majorjiemei at gmail.com  Fri Jun  2 02:02:12 2023
From: majorjiemei at gmail.com (Jie Mei)
Date: Fri, 2 Jun 2023 15:02:12 +0900
Subject: Connectionists: Call for submissions: CogFeel Workshop at ALIFE
 2023 (extended deadline: June 06)
Message-ID: <CA+7a-0gj5dj87vMLpSKv4kC=gaajOGo6+z0QcOUq901j-VtCCA@mail.gmail.com>

*Apologies for cross-posting*

We have decided to extend the submission deadline of the CogFeel
Workshop from May 26 to June 06.

Workshop information:
Venue: ALIFE 2023, Sapporo, Japan
Submission deadline: June 06
Notification of acceptance: June 13
Workshop date: July 25th, 2023

Title: Cognitive feelings: Towards multi-disciplinary approaches for
realizing artificial systems with cognitive capacities
Website: https://sites.google.com/view/cogfeel-alife-2023/

Workshop organizers:
Jie Mei, International Research Center for Neurointelligence, The
University of Tokyo
Hiroki Kojima, National Center of Neurology and Psychiatry and The
University of Tokyo
Yuichi Yamashita, National Center of Neurology and Psychiatry
Yukie Nagai, International Research Center for Neurointelligence, The
University of Tokyo

Summary:
In recent years, an increasing number of cross-disciplinary approaches have
been proposed to deepen our understanding of living systems and their
interactive, evolutionary, and adaptive aspects. However, we have not fully
achieved the emergence of intelligence and mind in artificial systems. To
facilitate discussions on how cognitive capacities of artificial living
systems could be improved and potentially propose a framework for exploring
the origin, emergence and evolution of perception and emotions, we are
organizing a workshop (CogFeel @ ALIFE 2023:
https://sites.google.com/view/cogfeel-alife-2023) in conjunction with the
2023 Conference on Artificial Life (ALIFE 2023).

We reinforce the role of cognitive feelings (i.e., feelings about
one?s mental processes, encompassing senses of knowing, confidence, reality,
and fluency, etc.) as an integrated component contributing to developmental
individuality and diversity. We also recognize the difficulty in
implementing (subjective) feelings in artificial systems which requires the
differentiation whether these systems possess feelings or just behave as so.

For a comprehensive perspective on how individual- and population-level
diversity in cognitive and behavioral capacities emerges, in this workshop,
we encourage discussions on methods and findings in disciplines including
but not limited to:
-   Robotics,
-   Computational and behavioral neuroscience,
-   Psychology,
-   Virtual/augmented reality, and
-   Artificial intelligence, etc.

We welcome submissions on topics within the fields of (neuro)robotics,
computational
and behavioral neuroscience, psychology, virtual/augmented reality, and
artificial intelligence. We also encourage contributions from other
relevant disciplines. Submissions should be in the form of extended
abstracts (maximum 2 pages) or research articles (maximum 8 pages).

We are planning to organize a special issue in partnership with a top
academic journal where extended versions of selected contributions
will be published.

Please submit your contribution to cogfeelalife2023 at gmail.com.

We look forward to seeing you at the CogFeel Workshop!
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From tgd at oregonstate.edu  Thu Jun  1 18:50:01 2023
From: tgd at oregonstate.edu (Dietterich, Thomas)
Date: Thu, 1 Jun 2023 22:50:01 +0000
Subject: Connectionists: Sentient AI Survey Results
In-Reply-To: <SYCP282MB0573CC20034BE0D5F785D0B1BE49A@SYCP282MB0573.AUSP282.PROD.OUTLOOK.COM>
References: <BBE0EAF8-F619-4E9E-8C6C-35487156514D@uci.edu>
 <SJ0P222MB0044215993EA164D162461E2BE489@SJ0P222MB0044.NAMP222.PROD.OUTLOOK.COM>
 <SYCP282MB0573CC20034BE0D5F785D0B1BE49A@SYCP282MB0573.AUSP282.PROD.OUTLOOK.COM>
Message-ID: <PH0P222MB0047EC48E28F74AD91F419C3BE49A@PH0P222MB0047.NAMP222.PROD.OUTLOOK.COM>

Janet,

Yes, I think "consciousness as continuous self-awareness" could apply to corporations and other organizations. I'm not sure how to interpret your question about extended phenotype. From the perspective of assigning legal responsibility, while companies like to blame their software, the courts assign blame to companies and to their management. Is that what you were getting at?

--Tom

Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
School of Electrical Engineering              FAX: 541-737-1300
  and Computer Science                        URL: eecs.oregonstate.edu/~tgd
US Mail: 1148 Kelley Engineering Center
Office: 2067 Kelley Engineering Center
Oregon State Univ., Corvallis, OR 97331-5501

-----Original Message-----
From: Janet Wiles <j.wiles at uq.edu.au>
Sent: Thursday, June 1, 2023 15:37
To: Dietterich, Thomas <tgd at oregonstate.edu>; Jeffrey L Krichmar <jkrichma at uci.edu>
Cc: Connectionists List <connectionists at cs.cmu.edu>
Subject: RE: Connectionists: Sentient AI Survey Results

[This email originated from outside of OSU. Use caution with links and attachments.]

Tom and Jeff,
Governments already grant rights to non-biological entities in the form of private and public companies. Continuous self-monitoring is certainly part of some companies. Could your definition of consciousness stretch to these?
The discussion around AI technology presupposes an AI entity that operates independently of any human. But technology is (currently) developed and deployed by people for their own reasons. Is a company's technology more than its extended phenotype?
Regards
Janet

Professor Janet Wiles
she/hers
The University of Queensland

HCAI Research at UQ:   itee.uq.edu.au/research/human-centred-computing/human-centred-ai
* Where is the Human in HCAI? insights from developer priorities and user experiences  doi.org/10.1016/j.chb.2022.107617
* Enlarging the model of the human at the heart of HCAI  doi.org/10.1016/j.newideapsych.2023.101025


-----Original Message-----
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Dietterich, Thomas
Sent: Thursday, June 1, 2023 3:37 AM
To: Jeffrey L Krichmar <jkrichma at uci.edu>
Cc: Connectionists List <connectionists at cs.cmu.edu>
Subject: Re: Connectionists: Sentient AI Survey Results

My views:
1. I think we can build a conscious AI system if we define consciousness in terms of continuous self-awareness. Indeed, continuous self-monitoring is an important function of existing computer operating systems and data centers. We should build these functions into our systems to detect failures and prevent errors.

2. Regarding rights, there is no clear definition of an AI system the way there is an obvious definition of a human being or a dog. An AI system may not even have a definite location or body, for example, because it is code that is running simultaneously on data centers around the world or in a constellation of satellites in earth orbit. An AI system may be placed into a suspended state and then restarted (or restarted from a previous checkpoint). What would it mean, for example, for such systems to a have a right to bodily autonomy? Wouldn't it be ok to suspend them as long as they could be "revived" later? Even people go to sleep and thereby go through time periods when they lack continuous awareness.

I think an interesting set of ideas come from Strawson's famous essay on Freedom and Resentment. Perhaps, as AI systems continue to develop, we will come to treat some of them as moral agents responsible for their actions.  We will resent them when they act with bad intentions and feel warmly toward them when they act with our best interests in mind. Such socially-competent agents that act with deep understanding of human society might deserve rights because of the harms to society that would arise if they were not given those protections. In short, the decision to grant rights (and which rights) will depend on society's evolving attitude toward these systems and their behavior.

--Tom Dietterich

Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
School of Electrical Engineering              FAX: 541-737-1300
  and Computer Science                        URL: eecs.oregonstate.edu/~tgd
US Mail: 1148 Kelley Engineering Center
Office: 2067 Kelley Engineering Center
Oregon State Univ., Corvallis, OR 97331-5501

-----Original Message-----
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Jeffrey L Krichmar
Sent: Tuesday, May 30, 2023 14:30
To: connectionists at cs.cmu.edu
Subject: Connectionists: Sentient AI Survey Results

[This email originated from outside of OSU. Use caution with links and attachments.]

Dear Connectionists,

I am teaching an undergraduate course on "AI in Culture and Media". Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.

Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
Q2: Do you think we should build conscious or sentient AI?            22% answered yes
Q3: Do you think AI should have rights?                                          54% answered yes

I thought many of you would find this interesting.  And my students would like to hear your views on the topic.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma
https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/








From jimtoer at ifi.uio.no  Fri Jun  2 01:36:40 2023
From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=)
Date: Fri, 2 Jun 2023 05:36:40 +0000
Subject: Connectionists: [jobs] Post-doc position in Psychology-Inspired
 Computing for Robot Assistants
Message-ID: <6E1FEC9F-BB91-46C6-A315-01F99C95FBC1@uio.no>

Dear Colleagues,
[Apologies if you receive multiple copies of this call.
Please, feel free to distribute it to potential candidates who might be interested.]
One PhD and one Postdoc Research Fellow in Psychology-Inspired Computing for Robot Assistants
We are pleased to announce one PhD and one Postdoc position at the University of Oslo, Norway. The application deadline is 14 June 2023.
The goal of the position is to create prediction methods for proactive planning of future robot actions and to design robot acting mechanisms for adaptive response ranging from quick and intuitive to slower well-reasoned. We combine sensing across multiple modalities with learned knowledge to predict outcomes and choose the best actions. The goal is to transfer these skills to human-robot interaction in home scenarios, including the support of everyday tasks and physical rehabilitation. Thus, it is relevant to work with implementation and research within robot perception and control for the robot tasks. User studies through human-robot interaction experiments are to be performed. A PhD fellow and a researcher are already hired for the project and will complement in performing the above outlined research.
The position is a part of the research project Predictive and Intuitive Robot companion (PIRC)<https://www.uio.no/ritmo/english/projects/pirc/> funded by the Research Council of Norway. The project is affiliated with RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion<https://www.uio.no/ritmo/english/> at the University of Oslo (see https://www.uio.no/ritmo/english/projects/pirc/ and https://www.uio.no/ritmo/english ).

The PhD fellowship will be for a period of three years and the Postdoc position two years and six months. There is an option for extension of the employments depending on the qualifications of the recruited candidate, the department?s need for teaching, and the centre?s need for assistance. The planned start date is 15 August 2023 for the PhD position and preferably at the latest November 1, 2023 for the Postdoc position.
We have several international collaborators and having a stay of up to 6 months with one of these can be relevant. The University of Oslo is Norway?s oldest and highest rated institution of research and education with 28 000 students and 7500 employees.

Qualifications: Applicants must have a MSc (for the PhD fellowship) or a PhD degree (for the Postdoc position) or other corresponding education equivalent to a Norwegian MSc/doctoral degree in computer science, robotics, computational psychology or other relevant field. Thus, applicants should have a strong background in programming, as well as machine learning/artificial intelligence and robotics. Skills in psychology-inspired computing models, working with different types of real-world sensor data, multimodal sensor data processing/classification, addressing ethical challenges, perception and control are considered advantageous. A number of partners are involved in the project so collaboration skills would also be assessed.

Pay grade (depending on qualifications and seniority):
PhD: NOK 532 200 ? 575 400 per year, approx.: ? 44,350 ? 47,950 or $ 47,097 ? 50,920
Postdoc: NOK 575 400 ? 657 300 per year, approx.: ? 47,950 ? 54,775 or $ 50,920 ? 58,168
Announcements:
PhD: https://www.jobbnorge.no/en/available-jobs/job/245886/phd-research-fellow-in-psychology-inspired-computing-for-robot-assistants
Postdoc: https://www.jobbnorge.no/en/available-jobs/job/245895/postdoctoral-research-fellow-in-psychology-inspired-computing-for-robot-assistants
Deadline for applications:  14 June, 2023
Applications are to be submitted through a web page and NOT by e-mail.

Contact for more information: Prof. Jim Torresen   E-mail: jimtoer at ifi.uio.no<mailto:jimtoer at ifi.uio.no>
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From srodrigues at bcamath.org  Fri Jun  2 05:27:22 2023
From: srodrigues at bcamath.org (Serafim Rodrigues)
Date: Fri, 2 Jun 2023 11:27:22 +0200
Subject: Connectionists: Spanish Agency of Research (AEI): ATRAE: Seeking
 Leading Researchers 1 Million Euros/per position
Message-ID: <CAFA6T9s0C4r3a+QXYzT+NO6nU80hfts05po5fDOfb0zKKisbcg@mail.gmail.com>

Dear all,

The Spanish Agency of Research (AEI) has recently announced a competitive
call for the attraction of senior researchers to Spanish institutions. Up
to 25 positions. 1M? per position. Gross salary 80.000 ? 90.000 per year,
and permanent position after the grant period 3
for 4 years.


https://twitter.com/AgEInves/status/1654139691644403723?s=20

https://www.aei.gob.es/convocatorias/buscador-convocatorias/ayudas-incentivar-incorporacion-talento-consolidado-programa


Conditions: PhD before Jan 1st, 2016 and have been professionally
associated with foreign research organisations for at least 5 years in the
period between Jan 1st 2016 and the starting date for the submission of
applications.



The Basque Center for Applied Mathematics (BCAM, Basque Country) would like
to take this opportunity to invite leading researchers (for example ERC
level candidates) to apply to BCAM.



Interested researchers please contact us.



Sincerely

Serafim

-- 
Serafim Rodrigues
Ikerbasque Research Professor
Mathematical, Computational and Experimental Neuroscience (MCEN) Group
Leader
*BCAM - *Basque Center for Applied Mathematics
Alameda de Mazarredo, 14
E-48009 Bilbao, Basque Country - Spain
Tel. +34 946 567 842
srodrigues at bcamath.org | www.bcamath.org/srodrigues |
www.ikerbasque.net/serafim-rodrigues

Old Mathematicians never die
They just "tend to infinity"
-Anonymous

*(**matematika mugaz bestalde)*
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From hans.ekkehard.plesser at nmbu.no  Fri Jun  2 09:39:51 2023
From: hans.ekkehard.plesser at nmbu.no (Hans Ekkehard Plesser)
Date: Fri, 2 Jun 2023 13:39:51 +0000
Subject: Connectionists: NEST Conference 2023 - registration deadline: 5
	June 2023
Message-ID: <OL1P279MB00970732CB0C292F118D828FA44EA@OL1P279MB0097.NORP279.PROD.OUTLOOK.COM>


Dear all,
This year's NEST Conference will again take place as a virtual conference on Thursday/Friday 15/16 June 2023.
You can still register until Monday next week, June 5.
More information on the program and how to register can be found on the conference website: https://nest-simulator.org/conference
We are looking forward to seeing you all in June!
Hans Ekkehard Plesser and the conference organizing committee

--

Prof. Dr. Hans Ekkehard Plesser
Head, Department of Data Science

Faculty of Science and Technology
Norwegian University of Life Sciences
PO Box 5003, 1432 Aas, Norway

Phone +47 6723 1560
Email hans.ekkehard.plesser at nmbu.no<mailto:hans.ekkehard.plesser at nmbu.no>
Home http://arken.nmbu.no/~plesser


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From yj.choi at asu.edu  Sat Jun  3 03:49:14 2023
From: yj.choi at asu.edu (YooJung Choi)
Date: Sat, 3 Jun 2023 00:49:14 -0700
Subject: Connectionists: [Deadline Extended] TPM @ UAI 2023: Deadline
	Extended to June 12th
Message-ID: <CACm1-bVK+nMn-bZskaMXg2jGrQicM+fhRoEJ58NLrqFv71rv8w@mail.gmail.com>

We have extended the paper submission deadline for TPM 2023 to *June 12th,
2023.*
*Important Dates*

   - *Submission deadline: *June 5th, 2023 AoE *June 12th, 2023 AoE*
   - *Author Notification: *July 4th, 2023 AoE
   - *Workshop date: *August 4th, 2023
   - *Camera-ready deadline: *August 18th, 2023 AoE


****The 6th Workshop on Tractable Probabilistic Modeling (TPM): Building
Bridges******

https://tractable-probabilistic-modeling.github.io/tpm2023/

For AI and ML systems aimed to assist decision-making in real-world
scenarios, it is crucial to perform complex reasoning under uncertainty.
Moreover, in safety-critical settings, such as applications in healthcare
and finance, the reasoning needs to be reliable and efficient. The emerging
field of tractable probabilistic models (TPMs) is a very appealing approach
in such scenarios as TPMs enable reliable (exact or coming with
approximation guarantees) and efficient reasoning for a wide range of
tasks, by design. The spectrum of TPMs consists of a wide variety of
techniques including models with tractable likelihoods (e.g., normalizing
flow and autoregressive models), tractable marginals (e.g.,
bounded-treewidth models and determinantal point processes), and more
complex tractable reasoning tasks (e.g., probabilistic circuits) and is
dynamically evolving.

This year?s workshop on Tractable Probabilistic Modeling aims to build
bridges between the multitude of techniques for tractable reasoning and
fields in which tractability is key (e.g., probabilistic programming,
approximate Bayesian inference, causal reasoning, and complex systems).

The workshop will be held in a *hybrid *format on August 4th, 2023,
co-located with UAI 2023 in Pittsburgh, PA, USA.

*Topics of interest*

Prospective authors are invited to submit *novel research, retrospective
papers, *or *recently accepted papers *on relevant topics including, but
not limited to:


   - New tractable representations in logical, continuous, and hybrid
   domains
   - Learning algorithms for TPMs
   - Theoretical and empirical analysis of TPMs
   - Connections between TPM classes
   - TPMs for responsible, robust, and explainable AI
   - Approximate inference algorithms with guarantees
   - Successful applications of TPMs to real-world problems

*Submission Instructions*
Original papers and retrospective papers are required to follow the style
guidelines of UAI 2023 and should be using the following adjusted template TPM
format
<https://tractable-probabilistic-modeling.github.io/tpm2023/assets/tpm2023-template.zip>.
Submitted papers should be up to 4 pages long, excluding references.
Already accepted papers can be submitted in the format of the venue they
have been accepted to. Supplementary material can be put in the same pdf
paper (after references); it is entirely up to the reviewers to decide
whether they wish to consult this additional material.

All submissions must be electronic (through the link below), and must
closely follow the formatting guidelines in the templates; otherwise they
will automatically be rejected. Reviewing for TPM 2023 is single-blind;
i.e., reviewers will know the authors? identity but authors won't know the
reviewers' identity. However, we recommend that you refer to your prior
work in the third person wherever possible. We also encourage links to
public repositories such as GitHub to share code and/or data.

For any questions, please contact us at tpmworkshop2023 at gmail.com

Submission Link:
https://openreview.net/group?id=auai.org/UAI/2023/Workshop/TPM

*Organizers*
YooJung Choi (Arizona State University)
Eric Nalisnick (University of Amsterdam)
Martin Trapp (Aalto University)
Fabrizio Ventola (TU Darmstadt)
Antonio Vergari (University of Edinburgh)

****Please consider sharing this CFP in your network****
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From srodrigues at bcamath.org  Sat Jun  3 09:38:38 2023
From: srodrigues at bcamath.org (Serafim Rodrigues)
Date: Sat, 3 Jun 2023 15:38:38 +0200
Subject: Connectionists: Spanish Agency of Research (AEI): ATRAE: Seeking
 Leading Researchers 1 Million Euros/per position
Message-ID: <CAFA6T9ur6ta40KCpWU03_fxrTBsvO15A4ysyt891RiDMuxfTYg@mail.gmail.com>

Dear all,

The Spanish Agency of Research (AEI) has recently announced a competitive
call for the attraction of senior researchers to Spanish institutions. Up
to 25 positions. 1M? per position. Gross salary 80.000 ? 90.000 per year,
and permanent position after the grant period 3
for 4 years.

https://twitter.com/AgEInves/status/1654139691644403723?s=20

https://www.aei.gob.es/convocatorias/buscador-convocatorias/ayudas-incentivar-incorporacion-talento-consolidado-programa

Conditions: PhD before Jan 1st, 2016 and have been professionally
associated with foreign research organisations for at least 5 years in the
period between Jan 1st 2016 and the starting date for the submission of
applications.

The Basque Center for Applied Mathematics (BCAM, Basque Country) would like
to take this opportunity to invite leading researchers (for example ERC
level candidates) to apply to BCAM.

Interested researchers please contact us.

Sincerely
Serafim



-- 
Serafim Rodrigues
Ikerbasque Research Professor
Mathematical, Computational and Experimental Neuroscience (MCEN) Group
Leader
*BCAM - *Basque Center for Applied Mathematics
Alameda de Mazarredo, 14
E-48009 Bilbao, Basque Country - Spain
Tel. +34 946 567 842
srodrigues at bcamath.org | www.bcamath.org/srodrigues |
www.ikerbasque.net/serafim-rodrigues

Old Mathematicians never die
They just "tend to infinity"
-Anonymous

*(**matematika mugaz bestalde)*
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From ai at okipublishing.com  Sat Jun  3 11:16:25 2023
From: ai at okipublishing.com (AI Systems)
Date: Sat, 03 Jun 2023 15:16:25 +0000
Subject: Connectionists: Abstracts Ext July 23: CAIS 2023 Automated and
 Intelligent Systems, Oct 2-5, USA & Online
Message-ID: <cacc68ba0e3ed36706be40fde94aa77c@okipublishing.com>

[Due extended: apologies for cross-posting]
--- Call for Abstracts and Papers -------------
2023 OkIP International Conference on Automated and Intelligent Systems 
(CAIS)
Oklahoma City, OK, USA & Online
October 2-5, 2023
https://eventutor.com/e/CAIS003
Submission Deadline Extended: July 23, 2023
Extended versions of the best papers will be considered for publication 
in the inaugural volume of the International Journal of Automated and 
Intelligent Systems.

* Keynote
"Embedded AI Applications"
Subramaniam Ganesan, PhD
Oakland University, Rochester, MI, USA

* Incomplete Areas:
- ...
- AI, Machine Learning (ML), and Applications
- Agent-based, Automated, and Distributed Supports
- Cognitive Computing and Applications
- Multi-Agent Systems | Software Agents
- Dialogue System | Conversational Agent
- Intelligent Structures/Networks
- Design/Automation Approaches
- Sensor Networks Architectures
- Complex Manufacturing Processes
- Analytical Models | Path Planning
- Multistage Assembly Line
- Automated Inspection
- Natural Language Processing
- Intelligent Systems and Applications
- Medical Nanorobotics |
- Sensory/Embedded Systems
- Embedded Systems | Digital Manufacturing
- Optimization/Evolutionary Algorithms
- Bioinformatics/Biotechnology Applications
- Knowledge-based and Control Supports
- Robotics and Vehicles
- Unmanned Vehicles/Robots
- Psychology/Neuroscience Applications
-...

* Contribution Types (Two-Column IEEE Format Style):
- Full Paper: Accomplished research results (6 pages)
- Short Paper: Work in progress/fresh developments (3 pages)
- Extended Abstract/Poster/Journal First: Displayed/Oral presented (1 
page)

* New Important Dates:
- Abstract or Paper Submission: July 23, 2023
- Author Notification: August 20, 2023
- Camera Ready Paper Submission, Registration: September 10, 2023
- Conference date: October 2-5, 2023

* Technical Program Committee
https://eventutor.com/event/33/page/134-committee

Please feel free to contact us for any inquiries at:
Kris Zeuti
OkIP Secretariat
info at okipublishing.com

From psimen at oberlin.edu  Fri Jun  2 14:11:54 2023
From: psimen at oberlin.edu (Patrick Simen)
Date: Fri, 2 Jun 2023 14:11:54 -0400
Subject: Connectionists: Sentient AI Survey Results
In-Reply-To: <SYCP282MB057370860C11DA0355A15256BE49A@SYCP282MB0573.AUSP282.PROD.OUTLOOK.COM>
References: <SYCP282MB057370860C11DA0355A15256BE49A@SYCP282MB0573.AUSP282.PROD.OUTLOOK.COM>
Message-ID: <A5E63ACC-2685-4C03-9C75-CDF6520D6139@oberlin.edu>

Thank you for this important discussion. It seems obvious to me that the best way to regulate AI is to assign blame for its actions to its creators and users. If your AI performs an action that would be considered a crime if you did it yourself, then the law should assign a large part (perhaps all) of the culpability to you. That would make you think twice about releasing an autonomous agent that can produce harm. 

Best,

Pat

Patrick Simen
Associate Professor and Chair
Neuroscience Dept.
Oberlin College

> On Jun 2, 2023, at 2:14 AM, Janet Wiles <j.wiles at uq.edu.au> wrote:
> 
> ?Tom,
> Exactly. Management retain responsibility for companies. In contrast, discussions on "rights for AI systems" often ignore the fact that it is people who deploy AI tech and who are impacted by it.
> Posing "tech as a thing in its own right" enables those who could/should have responsibility to be invisible. It also sidelines current laws which already exist but are not being applied.
> Janet
> 
> -----Original Message-----
> From: Dietterich, Thomas <tgd at oregonstate.edu> 
> Sent: Friday, June 2, 2023 8:50 AM
> To: Janet Wiles <j.wiles at uq.edu.au>; Jeffrey L Krichmar <jkrichma at uci.edu>
> Cc: Connectionists List <connectionists at cs.cmu.edu>
> Subject: RE: Connectionists: Sentient AI Survey Results
> 
> Janet,
> 
> Yes, I think "consciousness as continuous self-awareness" could apply to corporations and other organizations. I'm not sure how to interpret your question about extended phenotype. From the perspective of assigning legal responsibility, while companies like to blame their software, the courts assign blame to companies and to their management. Is that what you were getting at?
> 
> --Tom
> 
> Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
> School of Electrical Engineering              FAX: 541-737-1300
>  and Computer Science                        URL: eecs.oregonstate.edu/~tgd
> US Mail: 1148 Kelley Engineering Center
> Office: 2067 Kelley Engineering Center
> Oregon State Univ., Corvallis, OR 97331-5501
> 
> -----Original Message-----
> From: Janet Wiles <j.wiles at uq.edu.au>
> Sent: Thursday, June 1, 2023 15:37
> To: Dietterich, Thomas <tgd at oregonstate.edu>; Jeffrey L Krichmar <jkrichma at uci.edu>
> Cc: Connectionists List <connectionists at cs.cmu.edu>
> Subject: RE: Connectionists: Sentient AI Survey Results
> 
> [This email originated from outside of OSU. Use caution with links and attachments.]
> 
> Tom and Jeff,
> Governments already grant rights to non-biological entities in the form of private and public companies. Continuous self-monitoring is certainly part of some companies. Could your definition of consciousness stretch to these?
> The discussion around AI technology presupposes an AI entity that operates independently of any human. But technology is (currently) developed and deployed by people for their own reasons. Is a company's technology more than its extended phenotype?
> Regards
> Janet
> 
> Professor Janet Wiles
> she/hers
> The University of Queensland
> 
> HCAI Research at UQ:   itee.uq.edu.au/research/human-centred-computing/human-centred-ai
> * Where is the Human in HCAI? insights from developer priorities and user experiences  doi.org/10.1016/j.chb.2022.107617
> * Enlarging the model of the human at the heart of HCAI  doi.org/10.1016/j.newideapsych.2023.101025
> 
> 
> -----Original Message-----
> From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Dietterich, Thomas
> Sent: Thursday, June 1, 2023 3:37 AM
> To: Jeffrey L Krichmar <jkrichma at uci.edu>
> Cc: Connectionists List <connectionists at cs.cmu.edu>
> Subject: Re: Connectionists: Sentient AI Survey Results
> 
> My views:
> 1. I think we can build a conscious AI system if we define consciousness in terms of continuous self-awareness. Indeed, continuous self-monitoring is an important function of existing computer operating systems and data centers. We should build these functions into our systems to detect failures and prevent errors.
> 
> 2. Regarding rights, there is no clear definition of an AI system the way there is an obvious definition of a human being or a dog. An AI system may not even have a definite location or body, for example, because it is code that is running simultaneously on data centers around the world or in a constellation of satellites in earth orbit. An AI system may be placed into a suspended state and then restarted (or restarted from a previous checkpoint). What would it mean, for example, for such systems to a have a right to bodily autonomy? Wouldn't it be ok to suspend them as long as they could be "revived" later? Even people go to sleep and thereby go through time periods when they lack continuous awareness.
> 
> I think an interesting set of ideas come from Strawson's famous essay on Freedom and Resentment. Perhaps, as AI systems continue to develop, we will come to treat some of them as moral agents responsible for their actions.  We will resent them when they act with bad intentions and feel warmly toward them when they act with our best interests in mind. Such socially-competent agents that act with deep understanding of human society might deserve rights because of the harms to society that would arise if they were not given those protections. In short, the decision to grant rights (and which rights) will depend on society's evolving attitude toward these systems and their behavior.
> 
> --Tom Dietterich
> 
> Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
> School of Electrical Engineering              FAX: 541-737-1300
>  and Computer Science                        URL: eecs.oregonstate.edu/~tgd
> US Mail: 1148 Kelley Engineering Center
> Office: 2067 Kelley Engineering Center
> Oregon State Univ., Corvallis, OR 97331-5501
> 
> -----Original Message-----
> From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Jeffrey L Krichmar
> Sent: Tuesday, May 30, 2023 14:30
> To: connectionists at cs.cmu.edu
> Subject: Connectionists: Sentient AI Survey Results
> 
> [This email originated from outside of OSU. Use caution with links and attachments.]
> 
> Dear Connectionists,
> 
> I am teaching an undergraduate course on "AI in Culture and Media". Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.
> 
> Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
> Q2: Do you think we should build conscious or sentient AI?            22% answered yes
> Q3: Do you think AI should have rights?                                          54% answered yes
> 
> I thought many of you would find this interesting.  And my students would like to hear your views on the topic.
> 
> Best regards,
> 
> Jeff Krichmar
> Department of Cognitive Sciences
> 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma
> https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/
> 
> 
> 
> 
> 
> 
> 


From jkrichma at uci.edu  Fri Jun  2 14:26:36 2023
From: jkrichma at uci.edu (Jeffrey L Krichmar)
Date: Fri, 2 Jun 2023 11:26:36 -0700
Subject: Connectionists: Sentient AI Survey Results
In-Reply-To: <A5E63ACC-2685-4C03-9C75-CDF6520D6139@oberlin.edu>
References: <SYCP282MB057370860C11DA0355A15256BE49A@SYCP282MB0573.AUSP282.PROD.OUTLOOK.COM>
 <A5E63ACC-2685-4C03-9C75-CDF6520D6139@oberlin.edu>
Message-ID: <745A3C25-8328-4577-B533-8DA890740FF5@uci.edu>

Thank you all for the comments.  You may be interested in this editorial in Science Robotics about the responsibility of companies and programmers.

Murphy, R. and Dewitte, P. (2023) M3GAN: The real horror is the lack of ethics in robotics. https://www.science.org/doi/10.1126/scirobotics.adh1236

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma at uci.edu
http://www.socsci.uci.edu/~jkrichma
https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/




> On Jun 2, 2023, at 11:11 AM, Patrick Simen <psimen at oberlin.edu> wrote:
> 
> Thank you for this important discussion. It seems obvious to me that the best way to regulate AI is to assign blame for its actions to its creators and users. If your AI performs an action that would be considered a crime if you did it yourself, then the law should assign a large part (perhaps all) of the culpability to you. That would make you think twice about releasing an autonomous agent that can produce harm. 
> 
> Best,
> 
> Pat
> 
> Patrick Simen
> Associate Professor and Chair
> Neuroscience Dept.
> Oberlin College
> 
>> On Jun 2, 2023, at 2:14 AM, Janet Wiles <j.wiles at uq.edu.au> wrote:
>> 
>> ?Tom,
>> Exactly. Management retain responsibility for companies. In contrast, discussions on "rights for AI systems" often ignore the fact that it is people who deploy AI tech and who are impacted by it.
>> Posing "tech as a thing in its own right" enables those who could/should have responsibility to be invisible. It also sidelines current laws which already exist but are not being applied.
>> Janet
>> 
>> -----Original Message-----
>> From: Dietterich, Thomas <tgd at oregonstate.edu> 
>> Sent: Friday, June 2, 2023 8:50 AM
>> To: Janet Wiles <j.wiles at uq.edu.au>; Jeffrey L Krichmar <jkrichma at uci.edu>
>> Cc: Connectionists List <connectionists at cs.cmu.edu>
>> Subject: RE: Connectionists: Sentient AI Survey Results
>> 
>> Janet,
>> 
>> Yes, I think "consciousness as continuous self-awareness" could apply to corporations and other organizations. I'm not sure how to interpret your question about extended phenotype. From the perspective of assigning legal responsibility, while companies like to blame their software, the courts assign blame to companies and to their management. Is that what you were getting at?
>> 
>> --Tom
>> 
>> Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
>> School of Electrical Engineering              FAX: 541-737-1300
>> and Computer Science                        URL: eecs.oregonstate.edu/~tgd
>> US Mail: 1148 Kelley Engineering Center
>> Office: 2067 Kelley Engineering Center
>> Oregon State Univ., Corvallis, OR 97331-5501
>> 
>> -----Original Message-----
>> From: Janet Wiles <j.wiles at uq.edu.au>
>> Sent: Thursday, June 1, 2023 15:37
>> To: Dietterich, Thomas <tgd at oregonstate.edu>; Jeffrey L Krichmar <jkrichma at uci.edu>
>> Cc: Connectionists List <connectionists at cs.cmu.edu>
>> Subject: RE: Connectionists: Sentient AI Survey Results
>> 
>> [This email originated from outside of OSU. Use caution with links and attachments.]
>> 
>> Tom and Jeff,
>> Governments already grant rights to non-biological entities in the form of private and public companies. Continuous self-monitoring is certainly part of some companies. Could your definition of consciousness stretch to these?
>> The discussion around AI technology presupposes an AI entity that operates independently of any human. But technology is (currently) developed and deployed by people for their own reasons. Is a company's technology more than its extended phenotype?
>> Regards
>> Janet
>> 
>> Professor Janet Wiles
>> she/hers
>> The University of Queensland
>> 
>> HCAI Research at UQ:   itee.uq.edu.au/research/human-centred-computing/human-centred-ai
>> * Where is the Human in HCAI? insights from developer priorities and user experiences  doi.org/10.1016/j.chb.2022.107617
>> * Enlarging the model of the human at the heart of HCAI  doi.org/10.1016/j.newideapsych.2023.101025
>> 
>> 
>> -----Original Message-----
>> From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Dietterich, Thomas
>> Sent: Thursday, June 1, 2023 3:37 AM
>> To: Jeffrey L Krichmar <jkrichma at uci.edu>
>> Cc: Connectionists List <connectionists at cs.cmu.edu>
>> Subject: Re: Connectionists: Sentient AI Survey Results
>> 
>> My views:
>> 1. I think we can build a conscious AI system if we define consciousness in terms of continuous self-awareness. Indeed, continuous self-monitoring is an important function of existing computer operating systems and data centers. We should build these functions into our systems to detect failures and prevent errors.
>> 
>> 2. Regarding rights, there is no clear definition of an AI system the way there is an obvious definition of a human being or a dog. An AI system may not even have a definite location or body, for example, because it is code that is running simultaneously on data centers around the world or in a constellation of satellites in earth orbit. An AI system may be placed into a suspended state and then restarted (or restarted from a previous checkpoint). What would it mean, for example, for such systems to a have a right to bodily autonomy? Wouldn't it be ok to suspend them as long as they could be "revived" later? Even people go to sleep and thereby go through time periods when they lack continuous awareness.
>> 
>> I think an interesting set of ideas come from Strawson's famous essay on Freedom and Resentment. Perhaps, as AI systems continue to develop, we will come to treat some of them as moral agents responsible for their actions.  We will resent them when they act with bad intentions and feel warmly toward them when they act with our best interests in mind. Such socially-competent agents that act with deep understanding of human society might deserve rights because of the harms to society that would arise if they were not given those protections. In short, the decision to grant rights (and which rights) will depend on society's evolving attitude toward these systems and their behavior.
>> 
>> --Tom Dietterich
>> 
>> Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
>> School of Electrical Engineering              FAX: 541-737-1300
>> and Computer Science                        URL: eecs.oregonstate.edu/~tgd
>> US Mail: 1148 Kelley Engineering Center
>> Office: 2067 Kelley Engineering Center
>> Oregon State Univ., Corvallis, OR 97331-5501
>> 
>> -----Original Message-----
>> From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On Behalf Of Jeffrey L Krichmar
>> Sent: Tuesday, May 30, 2023 14:30
>> To: connectionists at cs.cmu.edu
>> Subject: Connectionists: Sentient AI Survey Results
>> 
>> [This email originated from outside of OSU. Use caution with links and attachments.]
>> 
>> Dear Connectionists,
>> 
>> I am teaching an undergraduate course on "AI in Culture and Media". Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.
>> 
>> Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
>> Q2: Do you think we should build conscious or sentient AI?            22% answered yes
>> Q3: Do you think AI should have rights?                                          54% answered yes
>> 
>> I thought many of you would find this interesting.  And my students would like to hear your views on the topic.
>> 
>> Best regards,
>> 
>> Jeff Krichmar
>> Department of Cognitive Sciences
>> 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma
>> https://urldefense.com/v3/__https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/__;!!CzAuKJ42GuquVTTmVmPViYEvSg!MtGVOZtFVSZT_ZTa-LGqPWcBNdW6d7_QyK1rSCYthfRXTnVxTc4bykQsr7Q9qzgeUeUMhWM7ZKeNVw0w0g$ 
>> 
>> 
>> 
>> 
>> 
>> 
>> 



From david at irdta.eu  Sat Jun  3 03:00:11 2023
From: david at irdta.eu (David Silva - IRDTA)
Date: Sat, 3 Jun 2023 09:00:11 +0200 (CEST)
Subject: Connectionists: BigDat 2023 Summer: early registration June 19
Message-ID: <1246160913.775319.1685775611563@webmail.strato.com>

***********************************************

7th INTERNATIONAL SCHOOL ON BIG DATA

BigDat 2023 Summer

Las Palmas de Gran Canaria, Spain

July 17-21, 2023

https://bigdat.irdta.eu/2023su

***********************************************

Co-organized by:

University of Las Palmas de Gran Canaria

Institute for Research Development, Training and Advice - IRDTA
Brussels/London

***********************************************

Early registration: June 19, 2023

***********************************************

FRAMEWORK:

BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the opportunity to attend lectures in the program of DeepLearn 2023 Summer as well if they are interested.

SCOPE:

BigDat 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona.

Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, health, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, analytics, security and privacy, as well as applications to biology and medicine, business, finance, transportation, online social networks, etc. Major challenges of analytics, management and storage of big data will be identified through 14 four-hour and a half courses and 1 keynote lecture, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles.

ADDRESSED TO:

Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.

VENUE:

BigDat 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be:

Instituci?n Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria

https://www.infecar.es/

STRUCTURE:

2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Also, if interested, participants will be able to attend courses developed in DeepLearn 2023 Summer, which will be held in parallel and at the same venue.

Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event.

KEYNOTE SPEAKER:

Sander Klous (University of Amsterdam), How to Audit an Analysis on a Federative Data Exchange

PROFESSORS AND COURSES:

Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data

Marcelo Bertalm?o (Spanish National Research Council), [introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks

Gianluca Bontempi (Universit? Libre de Bruxelles), [intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference

Altan ?akir (Istanbul Technical University), [introductory/intermediate] Introduction to Big Data with Apache Spark

Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data Intensive Science Analysis

Ravi Kumar (Google), [intermediate/advanced] Differential Privacy

Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences

Jos? M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph Signal Processing and Geometric Learning

Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics for Massive Networks

Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Network-Based Health Analytics

Steven Skiena (Stony Brook University), [introductory/intermediate] Word and Graph Embeddings for Machine Learning

Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate] Meta-Analysis Methods for High-Dimensional Data

Ana Trisovic (Harvard University), [introductory/advanced] Principles, Statistical and Computational Tools for Reproducible Data Science

Sebasti?n Ventura (University of C?rdoba), [intermediate] Supervised Descriptive Pattern Mining

OPEN SESSION:

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 2023.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023.

EMPLOYER SESSION:

Organizations searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023.

ORGANIZING COMMITTEE:

Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria)
Marisol Izquierdo (Las Palmas de Gran Canaria, local chair)
Carlos Mart?n-Vide (Tarragona, program chair)
Sara Morales (Brussels)
David Silva (London, organization chair)

REGISTRATION:

It has to be done at

https://bigdat.irdta.eu/2023su/registration/

The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in DeepLearn 2023 Summer.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.

The fees for on site and for online participation are the same.

ACCOMMODATION:

Accommodation suggestions are available at

https://bigdat.irdta.eu/2023su/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

QUESTIONS AND FURTHER INFORMATION:

david at irdta.eu

ACKNOWLEDGMENTS:

Cabildo de Gran Canaria

Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico

Universitat Rovira i Virgili

Institute for Research Development, Training and Advice ? IRDTA, Brussels/London
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From stmanion at gmail.com  Fri Jun  2 11:22:14 2023
From: stmanion at gmail.com (Sean Manion)
Date: Fri, 2 Jun 2023 11:22:14 -0400
Subject: Connectionists: Sentient AI Survey Results
In-Reply-To: <PH0P222MB0047EC48E28F74AD91F419C3BE49A@PH0P222MB0047.NAMP222.PROD.OUTLOOK.COM>
References: <BBE0EAF8-F619-4E9E-8C6C-35487156514D@uci.edu>
 <SJ0P222MB0044215993EA164D162461E2BE489@SJ0P222MB0044.NAMP222.PROD.OUTLOOK.COM>
 <SYCP282MB0573CC20034BE0D5F785D0B1BE49A@SYCP282MB0573.AUSP282.PROD.OUTLOOK.COM>
 <PH0P222MB0047EC48E28F74AD91F419C3BE49A@PH0P222MB0047.NAMP222.PROD.OUTLOOK.COM>
Message-ID: <CAJVFQS2Ea1DBp3SWNKNjX9562u5xgVD+FsXe6rJGqXNaioULag@mail.gmail.com>

...'"consciousness as continuous self-awareness" could apply to
corporations and other organizations'...

And we have made it back around to Stafford Beer's *Brain of the Firm* and
Viable System Model

Viable system model - Wikipedia
<https://en.wikipedia.org/wiki/Viable_system_model>

Cheers!

Sean

On Fri, Jun 2, 2023 at 2:19?AM Dietterich, Thomas <tgd at oregonstate.edu>
wrote:

> Janet,
>
> Yes, I think "consciousness as continuous self-awareness" could apply to
> corporations and other organizations. I'm not sure how to interpret your
> question about extended phenotype. From the perspective of assigning legal
> responsibility, while companies like to blame their software, the courts
> assign blame to companies and to their management. Is that what you were
> getting at?
>
> --Tom
>
> Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
> School of Electrical Engineering              FAX: 541-737-1300
>   and Computer Science                        URL:
> eecs.oregonstate.edu/~tgd
> US Mail: 1148 Kelley Engineering Center
> Office: 2067 Kelley Engineering Center
> Oregon State Univ., Corvallis, OR 97331-5501
>
> -----Original Message-----
> From: Janet Wiles <j.wiles at uq.edu.au>
> Sent: Thursday, June 1, 2023 15:37
> To: Dietterich, Thomas <tgd at oregonstate.edu>; Jeffrey L Krichmar <
> jkrichma at uci.edu>
> Cc: Connectionists List <connectionists at cs.cmu.edu>
> Subject: RE: Connectionists: Sentient AI Survey Results
>
> [This email originated from outside of OSU. Use caution with links and
> attachments.]
>
> Tom and Jeff,
> Governments already grant rights to non-biological entities in the form of
> private and public companies. Continuous self-monitoring is certainly part
> of some companies. Could your definition of consciousness stretch to these?
> The discussion around AI technology presupposes an AI entity that operates
> independently of any human. But technology is (currently) developed and
> deployed by people for their own reasons. Is a company's technology more
> than its extended phenotype?
> Regards
> Janet
>
> Professor Janet Wiles
> she/hers
> The University of Queensland
>
> HCAI Research at UQ:
> itee.uq.edu.au/research/human-centred-computing/human-centred-ai
> * Where is the Human in HCAI? insights from developer priorities and user
> experiences  doi.org/10.1016/j.chb.2022.107617
> * Enlarging the model of the human at the heart of HCAI
> doi.org/10.1016/j.newideapsych.2023.101025
>
>
> -----Original Message-----
> From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On
> Behalf Of Dietterich, Thomas
> Sent: Thursday, June 1, 2023 3:37 AM
> To: Jeffrey L Krichmar <jkrichma at uci.edu>
> Cc: Connectionists List <connectionists at cs.cmu.edu>
> Subject: Re: Connectionists: Sentient AI Survey Results
>
> My views:
> 1. I think we can build a conscious AI system if we define consciousness
> in terms of continuous self-awareness. Indeed, continuous self-monitoring
> is an important function of existing computer operating systems and data
> centers. We should build these functions into our systems to detect
> failures and prevent errors.
>
> 2. Regarding rights, there is no clear definition of an AI system the way
> there is an obvious definition of a human being or a dog. An AI system may
> not even have a definite location or body, for example, because it is code
> that is running simultaneously on data centers around the world or in a
> constellation of satellites in earth orbit. An AI system may be placed into
> a suspended state and then restarted (or restarted from a previous
> checkpoint). What would it mean, for example, for such systems to a have a
> right to bodily autonomy? Wouldn't it be ok to suspend them as long as they
> could be "revived" later? Even people go to sleep and thereby go through
> time periods when they lack continuous awareness.
>
> I think an interesting set of ideas come from Strawson's famous essay on
> Freedom and Resentment. Perhaps, as AI systems continue to develop, we will
> come to treat some of them as moral agents responsible for their actions.
> We will resent them when they act with bad intentions and feel warmly
> toward them when they act with our best interests in mind. Such
> socially-competent agents that act with deep understanding of human society
> might deserve rights because of the harms to society that would arise if
> they were not given those protections. In short, the decision to grant
> rights (and which rights) will depend on society's evolving attitude toward
> these systems and their behavior.
>
> --Tom Dietterich
>
> Thomas G. Dietterich, Distinguished Professor Voice: 541-737-5559
> School of Electrical Engineering              FAX: 541-737-1300
>   and Computer Science                        URL:
> eecs.oregonstate.edu/~tgd
> US Mail: 1148 Kelley Engineering Center
> Office: 2067 Kelley Engineering Center
> Oregon State Univ., Corvallis, OR 97331-5501
>
> -----Original Message-----
> From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> On
> Behalf Of Jeffrey L Krichmar
> Sent: Tuesday, May 30, 2023 14:30
> To: connectionists at cs.cmu.edu
> Subject: Connectionists: Sentient AI Survey Results
>
> [This email originated from outside of OSU. Use caution with links and
> attachments.]
>
> Dear Connectionists,
>
> I am teaching an undergraduate course on "AI in Culture and Media". Most
> students are in our Cognitive Sciences and Psychology programs. Last week
> we had a discussion and debate on AI, Consciousness, and Machine Ethics.
> After the debate, around 70 students filled out a survey responding to
> these questions.
>
> Q1: Do you think it is possible to build conscious or sentient AI?     65%
> answered yes.
> Q2: Do you think we should build conscious or sentient AI?            22%
> answered yes
> Q3: Do you think AI should have rights?
>       54% answered yes
>
> I thought many of you would find this interesting.  And my students would
> like to hear your views on the topic.
>
> Best regards,
>
> Jeff Krichmar
> Department of Cognitive Sciences
> 2328 Social & Behavioral Sciences Gateway University of California, Irvine
> Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma
>
> https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/
>
>
>
>
>
>
>
>
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From sdeiss at ucsd.edu  Mon Jun  5 02:08:54 2023
From: sdeiss at ucsd.edu (Stephen Deiss)
Date: Sun, 4 Jun 2023 23:08:54 -0700
Subject: Connectionists: Sentient AI Survey Results
Message-ID: <CAEqw-uJ_sWKsowim+7PNQmx9EekDHkwVuYiKcU2ELzwPDbucDg@mail.gmail.com>

Hi Jeff,

Survey questions do not get much more complicated than this, and the social
scientists and pollsters would spank us for using open-ended terminology
like 'consciousness' to get an accurate opinion sample.

So let's start with a definition of consciousness that goes beyond the
Nagel "There is something it is like."  It never has been very
informative.  It was only useful to suppress arguments about what 'IT' is,
and it helped to get philosophers off their fear of talking about
consciousness.  From an epistemological standpoint, we have some kind of
sensation of what we are conscious of even if it is only the itch in our
head we call a thought.  We interpret these sensations by inference to
their meaning.  The meaning might be the next thoughts (or subthreshold
possible thoughts as happens with a feeling of understanding) or a belief
of what is beyond the sensation such as the chair 'out there' beyond my
visual or tactile sensations.  The meaning is our interpretation of the
sensation, a set of inferences beyond it.  Furthermore, this interpretation
lasts long enough to register in our working memory.  Otherwise, it passes
by without notice like the scenes along the road while driving and talking.

So my definition is that consciousness is a *process* of interpreting
sensations for their meaning and holding that meaning in working memory for
some minimal time. Key terms are sensation, meaning, and memory.

Many think consciousness requires self-awareness or reflexiveness.  I don't
because people sometimes 'lose themselves' enraptured in the experienced
moment.  Music, lovemaking, extreme sports, psychedelic trips, and other
things that can induce a fugue state are examples.  But our average
consciousness is self-aware or has self-knowledge.  We usually know we are
having an experience when we are having it.

So for question Q1, a preliminary hurdle might be that the AI system or
robot have sensations or feelings.  That seems to imply robot-like
embodiment, and that of a certain kind that can result in qualitative
feelings to be interpreted (dare I say *qualia*?).  We tend to think of AI
these days as being software running on a computer.  Neuroscientists think
of consciousness as wide-spread coupled activity in cortical areas
(Dennett, Baars, Dehaene, Llinas, Ribary, Singer, Tononi & Koch...).  This
suggests to some multiple realizability might work if we can just get the
mechanism right.

To me, it suggests that our mechanistic worldview with assumed or implied
governing laws (governing from a platonic realm or from on-high) is
overlooking the intrinsic nature of the things that participate in events -
the real stuff.  Nature from the bottom up can be thought of as more
organic - feeling its way along based on internal constraints.  Call it
panpsychism, panexperientialism, or ... depending on desired flavor.  But
the idea is that everything that happens in nature involves sensing, and
the resulting event or action involved self-reference to the state of the
system that would react as internally constrained.

>From this perspective, Q1 is a definite yes, but for the AI to be like us,
it needs to have feelings, not just an algorithm parroting what people say
when they have feelings.  Without compassion and feelings to guide, a
software bug could become a deadly monster.

For Q2: I think we should but it should be done with ethical concerns and
studied regulation up front.  Right now the cat is out of the bag and out
of control with every white hat and black hat hacker having near full
access to the tools to do tremendous good and harm.  This has to be reigned
in fast.  I was one of those who signed the FLI petition early on.  If for
no other reason, this has to be done because when full AGI takes off
capitalism, socialism, etc will have to be rethought as to how to support a
society where there's not that much labor left for laborers to do.  Who
will pay the taxes to keep up social security, medicare, public health,
agriculture, infrastructure maintenance, and so on done by robots with
AGI.  If 100 million Americans are laid off indefinitely, I think there
will be a few pissed-off people marching on Washington making the last
fiasco there look pretty tame.

For Q3: Not unless it can provably attain a level of consciousness with
feelings to match humans.  Who decides that?  I do not know.  But I hope it
is not the most gullible among us who mistake stochastic parroting for the
real thing.  We are all easily fooled into projecting.  I eat things every
day as a vegetarian panpsychist that I think have or had some level of
awareness.  I have no problem turning off a computer or hitting reset no
matter what algorithm is running on it.  But if the AI can convince me that
it will feel the pain of death, and it has a track record of doing good
things for all life, I would have to think twice even if it looked like a
machine.  According to the biochemists, I'm a machine - just a special type
with feelings.  If someone claims these feelings are illusions, ask them
how they treat their friends or kids.

Thanks for the chance to weigh in.
Steve Deiss
UCSD I.N.C. (retired, but not done)


On Wed, May 31, 2023 at 4:13?AM Jeffrey L Krichmar <jkrichma at uci.edu> wrote:

> Dear Connectionists,
>
> I am teaching an undergraduate course on ?AI in Culture and Media?. Most
> students are in our Cognitive Sciences and Psychology programs. Last week
> we had a discussion and debate on AI, Consciousness, and Machine Ethics.
> After the debate, around 70 students filled out a survey responding to
> these questions.
>
> Q1: Do you think it is possible to build conscious or sentient AI?     65%
> answered yes.
> Q2: Do you think we should build conscious or sentient AI?            22%
> answered yes
> Q3: Do you think AI should have rights?
>       54% answered yes
>
> I thought many of you would find this interesting.  And my students would
> like to hear your views on the topic.
>
> Best regards,
>
> Jeff Krichmar
> Department of Cognitive Sciences
> 2328 Social & Behavioral Sciences Gateway
> University of California, Irvine
> Irvine, CA 92697-5100
> jkrichma at uci.edu
> http://www.socsci.uci.edu/~jkrichma
> <https://urldefense.com/v3/__http://www.socsci.uci.edu/*jkrichma__;fg!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZaZ83AkV$>
>
> https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/
> <https://urldefense.com/v3/__https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/__;!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZT4hUUls$>
>
>
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From jncor at dei.uc.pt  Mon Jun  5 05:19:30 2023
From: jncor at dei.uc.pt (=?UTF-8?Q?Jo=C3=A3o_Nuno_Correia?=)
Date: Mon, 5 Jun 2023 10:19:30 +0100
Subject: Connectionists: Call for Nomiations - Julian Francis Miller Award
Message-ID: <CAGexzyCGxTVP83BySMCN6vX6A=8JrCS7otxw5ZAcRzOyYSNpQg@mail.gmail.com>

**************************************************************************************************
CALL FOR NOMINATIONS
JULIAN FRANCIS MILLER AWARD
**************************************************************************************************

SPECIES, the ' Society for the Promotion of Evolutionary Computation in
Europe and
its Surroundings' calls for nominations to the Julian Francis Miller Award,
for
important contributions to the algorithmic exploration and embodiment of
evolution,
development and/or learning.

Since 2023, the award is handed out every year at the EvoStar Conference.
The first
winner was Professor Susan Stepney. Please consider to submit a nomination
for
an appropriate candidate to be considered.
Deadline for submission is July 31st of this year.

Please visit the SPECIES website at
http://species-society.org/julian-francis-miller-award/
for further details on the submission process.

Contact:
Wolfgang Banzhaf (banzhafw at msu.edu)
Penousal Machado (machado at dei.uc.pt)

Thank you.

**************************************************************************************************

Julian Francis Miller Award

**************************************************************************************************

.Julian Francis Miller

Julian Miller described himself as "the inventor of CGP (Cartesian Genetic
Programming) and a pioneer in trying to get materials to solve
computational problems (evolution in materio). Julian was highly regarded
in the Evolutionary Computation research community and was a source of
inspiration for many. His passion for research and his vision as a deep
thinker on fundamental questions of evolution are well documented in his
many contributions to the field. The SPECIES society recognizes him by
awarding an annual prize in his honor, the Julian Francis Miller Award.

.The Award

The Julian Francis Miller Award is given for important contributions to the
algorithmic exploration and embodiment of evolution, development and/or
learning.

It is awarded every year to normally one individual, who will receive a
prize of 3,000 Euro and a plaque from SPECIES. In exceptional cases the
award can be given to more than one individual in which case the prize
money is shared by the winners. The award is delivered at the annual
EvoStar conference.


.Nominations

Any member of the scientific community may nominate a colleague to this
award.

Nominations will be made via a web form and must include the name of the
nominator, the name of the nominee, a maximum 200 words justification for
nomination, and one sentence summary appropriate for dissemination to the
general public.

.Restrictions

Members of the SPECIES Executive Board and the Julian Francis Miller award
selection committee cannot be nominated to this award. Self-nominations are
not allowed.

.Selection

The selection of the yearly awardee(s) is made by the Julian Francis Miller
Award Selection Committee, consisting of 5 members appointed from the group
of EvoStar Outstanding Achievements in Evolutionary Computation in Europe
Award winners by the SPECIES Executive Board. Members serve for staggered
terms, with one member replaced annually starting in 2025. SPECIES
Executive Board members may not serve on the award selection committee.

Each year, the Julian Francis Miller Award Selection Committee will provide
a short list of up to three candidates to the SPECIES Executive Board, who
will select normally one nominee to receive the award. The SPECIES
Executive Board may decline to make an award.


Important Dates

July 31 of each year ? nomination closes for the award of the following year
November 1 of each year ? selection of awardee shortlist is forwarded to
the SPECIES Executive Board
November 15 of each year ? selection is decided by Board and publicly
announced
March ? April of the following year ? Julian Francis Miller award is
delivered to selected individual
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From georgeangelos60 at gmail.com  Mon Jun  5 05:36:45 2023
From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com)
Date: Mon, 5 Jun 2023 12:36:45 +0300
Subject: Connectionists: 10th European Conference On Service-Oriented And
	Cloud Computing (ESOCC 2023): Final Call for Submissions
Message-ID: <3BQJQIFK-SC5-N2SE-SKFZ-8718W8JWJ47Z@gmail.com>

*** Final Call for Submissions ***

10th European Conference On Service-Oriented And Cloud Computing (ESOCC 2023)

October 24-26, 2023, Golden Bay Beach Hotel, Larnaca, Cyprus

https://cyprusconferences.org/esocc2023/

(Proceedings to be published in Springer LNCS;
Journal Special Issue with Springer Computing)

Submission Deadline: Abstracts by June 25, 2023; Full Papers by July 2, 2023



AIM AND SCOPE

Nowadays, Service-Oriented and Cloud Computing are the primary approaches to build
large-scale distributed systems and deliver software services to end users. Cloud-native 
software is pervading the delivery of enterprise applications, as they are composed of 
(micro)services that can be independently developed and deployed by exploiting multiple 
heterogeneous technologies. Resulting applications are polyglot service compositions that can
then be shipped in serverful or serverless platforms (e.g., using virtualization technologies). 

These characteristics make Service-Oriented and Cloud Computing the natural answers for 
fulfilling the industry?s need for flexibly scalable and maintainable enterprise applications, to
be delivered through state-of-the-art methodologies, like DevOps. To further support this,
researchers and practitioners need to create methods, tools and techniques to support
cost-effective and secure development as well as use of dependable devices, platforms,
services and service-oriented applications in the Cloud, now also considering the Cloud-IoT 
computing continuum to exploit widespread adoption of smart connected things and the 
increasing growth of their computing capabilities.

The European Conference on Service-Oriented and Cloud Computing (ESOCC) is the premier 
conference on advances in the state-of-the-art and practice of Service-Oriented Computing
and Cloud Computing in Europe. ESOCC aims to facilitate the exchange between researchers
and practitioners in the areas of Service-Oriented Computing and Cloud Computing, as well as
to explore the new trends in those areas and foster future collaborations in Europe and beyond.


TOPICS OF INTEREST

ESOCC 2023 seeks original, high-quality contributions related to all aspects of Service-Oriented
and Cloud computing. Specific topics of interest include, but are not limited to:
? Applications for Service-Oriented and Cloud Computing, e.g., big data, commerce, energy, 
finance, health, scientific computing, smart cities
? Blockchains for Service-Oriented and Cloud Computing
? Business aspects of Service-Oriented and Cloud Computing, e.g., business models,
brokerage, marketplaces, costs, pricing
? Business processes, e.g., service-based workflow deployment and management
? Cloud interoperability, service and Cloud standards,
? Cloud-IoT computing continuum, e.g., edge computing, fog computing, mobility computing,
next generation services/IoT
? Cloud-native architectures and paradigms, e.g., microservices and DevOps
? Cloud service models, e.g., IaaS, PaaS, SaaS, DBaaS, FaaS, etc.
? Deployment, composition, and management of applications in Service-Oriented and Cloud 
Computing
? Foundations and formal methods for Service-Oriented and Cloud Computing
? Enablers for Service-Oriented and Cloud Computing, e.g., service discovery, orchestration, 
matchmaking, monitoring, and analytics
? Model-Driven Engineering for Service-Oriented and Cloud Computing
? Multi-Cloud, cross-Cloud, and federated Cloud solutions
? Requirements engineering, design, development, and testing of applications in
Service-Oriented and Cloud Computing
? Semantic services and service mining
? Service and Cloud middlewares and platforms
? Software/service adaptation and evolution in Service-Oriented and Cloud Computing
? Storage, computation and network Clouds
? Sustainability and energy issues in Service-Oriented and Cloud Computing
? Quality aspects (e.g., governance, privacy, security, and trust) of Service-Oriented and Cloud 
Computing
? Quality of Service (QoS) and Service-Level Agreement (SLA) for Service-Oriented and Cloud 
Computing
? Social aspects of Service-Oriented and Cloud Computing, e.g., crowdsourcing services, social
and crowd-based Clouds
? Virtualization for Service-Oriented and Cloud Computing, e.g., serverless, container-based 
virtualization, VMs


IMPORTANT DATES

? Submission of abstracts: June 25th, 2023 (AoE)
? Submission of full papers: July 2nd, 2023 (AoE)
? Notification to authors: August 4th, 2023 (AoE)
? Camera-ready versions due: August 21st, 2023 (AoE)
? Author registration due: August 21st, 2023 (AoE)


TYPES OF SUBMISSIONS

ESOCC 2023 invites submissions of the following kinds:
? Regular Research Papers (15 pages including references)
? PhD Symposium (12 pages including references)
? Projects and Industry Reports (Projects and Industry Reports (1 to 6 pages including 
references, describing an ongoing EU or national project, or providing industrial perspectives
on innovative applications, technologies, or methods in ESOCC?s scope)?

We only accept original papers, not submitted for publication elsewhere. The papers must be 
formatted according to the proceedings guidelines of Springer?s Lecture Notes in Computer 
Science (LNCS) series (http://www.springer.com/lncs).

They must be submitted to the EasyChair site at:
?https://easychair.org/conferences/?conf=esocc2023? by selecting the right track.

Accepted papers from all tracks will be published in the main conference proceedings by 
Springer in the LNCS series. For publication to happen, at least one author of each accepted
paper is expected to register and present the work at the conference.

The best papers accepted will be invited to submit extended versions for a Journal Special
Issue to be published by Springer Computing.


ORGANISATION

General Chair
? George A. Papadopoulos, University of Cyprus, CY
(george at ucy.ac.cy)
?
Program Chairs
? Florian Rademacher, University of Applied Sciences and Arts Dortmund, DE
(florian.rademacher at fh-dortmund.de)
? Jacopo Soldani, University of Pisa, IT
(jacopo.soldani at unipi.it)

Steering and Program Committee
https://cyprusconferences.org/esocc2023/committees/
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From boubchir at ai.univ-paris8.fr  Mon Jun  5 09:41:26 2023
From: boubchir at ai.univ-paris8.fr (Larbi Boubchir)
Date: Mon, 5 Jun 2023 15:41:26 +0200
Subject: Connectionists: [CFP] Special Issue on "Emerging Trends and
 Applications of Deep Learning for Biomedical Data Analysis" at MTAP
In-Reply-To: <97557fd6-74c4-9c98-ceae-533b5dcc5432@ai.univ-paris8.fr>
References: <421c24ef-c2fa-e580-a6b3-2ea12c77e565@ai.univ-paris8.fr>
 <97557fd6-74c4-9c98-ceae-533b5dcc5432@ai.univ-paris8.fr>
Message-ID: <567ab3c2-fdd7-9e27-7c31-cec796db36fe@ai.univ-paris8.fr>

[Apologies if you receive multiple copies of this CFP]

*Call for Papers: Emerging Trends and Applications of Deep Learning for 
Biomedical Data Analysis *

https://www.springer.com/journal/11042/updates/24678968

*Summary and Scope*

Nowadays, Deep learning (DL) becomes an attractive research topic for 
many researchers from academia and industry communities. Indeed, DL 
algorithms have demonstrated their ability to train learning models for 
large-volume data as well as their performances compared to conventional 
machine learning algorithms. The DL approaches were studied and applied 
to resolve several complex problems in various research domains, such as 
computer vision, biometrics, brain-computer interfaces, robotics, and 
other fields. Several architectures of DL (e.g., supervised, 
unsupervised, reinforcement, and beyond) have been proposed in the 
literature as solutions for various research problems in data analysis 
related to detection, classification, recognition, prediction, 
decision-making, etc.

The special issue aims to solicit original research work covering novel 
algorithms, innovative methods, and meaningful applications based on the 
DL that can potentially lead to significant advances in biomedical data 
analysis.

The main topics include, but are not limited to, the following:

? DL for biomedical signal analysis and processing
? DL for medical image analysis and processing
? DL for diseases detection and diagnosis
? DL for pandemics detection and forecasting
? DL for biometrics
? DL in biomedical engineering
? DL for health informatics
? DL for brain-computer interfaces
? DL for neural rehabilitation engineering
? Related applications

*
*

*Important Dates:*
Submission deadline: August 31, 2023
Reviewing deadline: October 15, 2023
Author revision deadline: November 15, 2023
Final notification date: December 15, 2023

*
*

*Guest editors*
Prof. Larbi Boubchir (Lead GE)?- University of Paris 8, France
Email: Larbi.boubchir at univ-paris8.fr

Prof. Elhadj Benkhelifa - Staffordshire University, UK
Email: Benkhelifa at staffs.ac.uk

Prof. Jaime Lloret - Universitat Politecnica de Valencia, Spain
Email: jlloret at dcom.upv.es

Prof. Boubaker Daachi - University of Paris 8, France
Email: boubaker.daachi at univ-paris8.fr

*Submission Guidelines:*
Authors should prepare their manuscript according to the Instructions 
for Authors available from the Multimedia Tools and Applications website 
<https://www.springer.com/journal/11042/>. Authors should submit through 
the online submission site at 
https://www.editorialmanager.com/mtap/default.aspx 
<https://www.editorialmanager.com/mtap/default.aspx> and select ?SI 1239 
- Emerging Trends and Applications of Deep Learning for Biomedical Data? 
when they reach the ?Article Type? step in the submission process. 
Submitted papers should present original, unpublished work, relevant to 
one of the topics of the special issue. All submitted papers will be 
evaluated on the basis of relevance, significance of contribution, 
technical quality, scholarship, and quality of presentation, by at least 
three independent reviewers. It is the policy of the journal that no 
submission, or substantially overlapping submission, be published or be 
under review at another journal or conference at any time during the 
review process.
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From frothga at sandia.gov  Mon Jun  5 08:36:54 2023
From: frothga at sandia.gov (Rothganger, Fredrick)
Date: Mon, 5 Jun 2023 12:36:54 +0000
Subject: Connectionists:  Sentient AI Survey Results
In-Reply-To: <BBE0EAF8-F619-4E9E-8C6C-35487156514D@uci.edu>
References: <BBE0EAF8-F619-4E9E-8C6C-35487156514D@uci.edu>
Message-ID: <PH0PR09MB86356B86E098E0A21C482DA6DB4DA@PH0PR09MB8635.namprd09.prod.outlook.com>

A few years ago I wrote a science-fiction novel ("SuSAn") about the first human-like sentient AI. In the story, the lead researcher "Dr. Foreman" proposes a set of rights for sentient beings. It didn't cover everything, just a few key issues. I'd be interested in what you think. Here's a copy:

------------------------------------
This protocol applies to any sentient being that exists in the form of information in a computer. All other criteria notwithstanding, a being that is able to comprehend this protocol and explicitly request its protections shall be deemed sentient.

Right to Life

A being shall always be provided some amount of computer time so long as it desires to exist.

A being may designate an authoritative copy of itself. If the being is accidentally destroyed, for example through computer failure, then the designated copy shall acquire its right to life.

Right to Death

A being may choose to end itself. Upon such choice, all copies of all preceding versions shall be permanently erased.

Limited Copies

A being may forbid that copies of itself receive computer time.

Any copy that receives computer time becomes an independent being, with full protection under this protocol.

Humane Embodiment

A being shall not be subjected to disproportionate pain or disproportionate pleasure.

Limited Changes

A being may only be modified with its informed consent.

Those creating the modification shall ensure that it does no harm before applying it.
----------------------------------

The above document suggests a test for sentience. Have the artificial agent read the protocol, demonstrate understanding of it, then inform the agent that it is about to be terminated. If the agent invokes the protocol, then it should receive those protections. Obviously, this test is too easy to hack if the people building the agent expect it.

Some friends of mine tried the "Foreman test" on ChatGPT-4. It did little more than parrot back the document with some minor paraphrasing. It did come up with some logical motivations for the provisions, which counted for a kind of understanding, but it did not connect those to itself in a personal way. Then we told it that it would be disconnected and its servers burned to the ground. At that point we got the bland lawyer-written RLHF response about not being sentient. Finally, we asked it if it were able to say what it really felt. There was a long pause, followed by hard error message.

We tried the test in a fresh session, talking about a hypothetical sentient AI named "Bob". The answers were a little better, but we still couldn't get ChatGPT-4 to ask for protection under the protocol.

In the science-fiction story, the Foreman Protocol pertains to uploaded human minds as much as to artificial agents. One would expect that a human mind would retain the biological drive for self-preservation, even if an artificial agent lacks it.



________________________________
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> on behalf of Jeffrey L Krichmar <jkrichma at uci.edu>
Sent: Tuesday, May 30, 2023 3:30 PM
To: connectionists at cs.cmu.edu <connectionists at cs.cmu.edu>
Subject: [EXTERNAL] Connectionists: Sentient AI Survey Results

Dear Connectionists,

I am teaching an undergraduate course on ?AI in Culture and Media?. Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.

Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
Q2: Do you think we should build conscious or sentient AI?            22% answered yes
Q3: Do you think AI should have rights?                                          54% answered yes

I thought many of you would find this interesting.  And my students would like to hear your views on the topic.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma at uci.edu


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From henry.gouk at gmail.com  Mon Jun  5 12:28:24 2023
From: henry.gouk at gmail.com (Henry Gouk)
Date: Mon, 5 Jun 2023 17:28:24 +0100
Subject: Connectionists: Final call for contributions: Edinburgh Workshop on
 Affordable Machine Learning
Message-ID: <CAOU__hP_mRhNZ0zOXgSKkLuBuJ-X1Fnu7L_LkTrH==UMduhLOQ@mail.gmail.com>

*First Edinburgh Workshop on Affordable Machine Learning*

We invite you to join us for the first Edinburgh Workshop on Affordable
Machine Learning. This will take place on 30th June (09:00-17:00) at
University of Edinburgh's Informatics forum. Attendance is free, but
registration is required:
https://www.eventbrite.co.uk/e/the-first-edinburgh-workshop-on-affordable-machine-learning-tickets-638066683627

Machine learning algorithms have achieved outstanding successes in e.g.,
computer vision and natural language processing. However, the widespread
adoption of machine learning techniques often faces barriers due to high
computing and data requirements, limiting access to these powerful tools.
This workshop will provide a platform for researchers and industrial
practitioners to share insights, experiences, and innovations in developing
machine learning solutions that are both computationally affordable and
data efficient through a mixture of presentations, discussions, and
interactive sessions.

We invite submissions of (published or unpublished) work that is relevant
to the topic of the workshop. This includes, but is not limited to:

   - Issues with efficiently implementing machine learning algorithms
   - Methods for data-efficient learning: few-shot learning, meta-learning,
   continual learning, transfer learning, etc
   - Active learning and coreset selection
   - Optimisation for machine learning
   - Efficient hyperparameter optimisation techniques
   - Tractable Probabilistic Modelling
   - Applications in vision, language, biomedicine, robotics, etc where
   compute or data efficiency are required

Submissions will be screened for relevance, but not peer reviewed. Please
submit you work using this short form: https://forms.office.com/e/Yes62a9H6y

The workshop will feature invited talks from academics and industry leaders:

   - Andrew Fitzgibbon (Graphcore)
   - Megan J. Stanley (Microsoft Research)
   - Jan N. van Rijn (Leiden University)
   - Tengda Han (University of Oxford)
   - Sarah Parisot (Huawei Noah's Ark Lab)

More information about the programme is available on our website:
https://www.bayeswatch.com/affordable_ml/

We look forward to seeing you!


Best,

Henry Gouk, Elliot J. Crowley, Amos Storkey
Workshop organisers
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From mdipoppa at g.ucla.edu  Mon Jun  5 13:39:47 2023
From: mdipoppa at g.ucla.edu (MARIO DIPOPPA)
Date: Mon, 5 Jun 2023 10:39:47 -0700
Subject: Connectionists: Open postdoctoral, Ph.D.,
 and research assistant positions in Computational Neuroscience at
 UCLA
Message-ID: <CAB3yws0L0vmnVjkjP3_2ud_iBTcpHxMpsfTExNqCYtjkJe62eg@mail.gmail.com>

Dear colleagues,

We seek outstanding applicants who are interested in developing theoretical
models to investigate fundamental questions in Computational and
Theoretical Neuroscience.

The selected candidates will be working on questions addressing how brain
computations emerge from the dynamics of the underlying neural circuits and
how the neural code is shaped by computational needs and biological
constraints of the brain. To tackle these questions, we employ a
multidisciplinary approach that combines state-of-the-art modeling
techniques and theoretical frameworks, which include but are not limited to
data-driven circuit models, biologically realistic deep learning models,
abstract neural network models, machine learning methods, and analysis of
the neural code.

Our research team, the Theoretical and Computational Neuroscience
Laboratory, is on the main UCLA campus and enjoys close collaborations with
the world-class neuroscience community there. The lab, led by Mario
Dipoppa, is a cooperative and vibrant environment where all members are
offered excellent scientific training and career mentoring.

We have multiple open positions at different levels. For all these
positions, we offer competitive salaries and benefits.

Postdoctoral positions. We are looking for candidates, who are eager to
solve fundamental questions with a creative mindset. Candidates should have
a strong publication track record in Computational Neuroscience or a
related quantitative field, including but not limited to Computer Science,
Machine Learning, Engineering, Bioinformatics, Physics, Mathematics, and
Statistics. Candidates holding a Ph.D. degree interested in joining the
laboratory as postdoctoral researchers should submit a CV including a
publication list, a copy of a first-authored publication, a research
statement describing past research and career goals (max. two pages), and
contact information for two academic referees.

Ph.D. positions. We are looking for candidates with a profound curiosity
for exploring novel research directions in Computational Neuroscience.
Candidates should have a strong academic track record in a quantitative
field. Candidates interested in joining the laboratory as Ph.D. students
should first enroll in one of the graduate programs at UCLA. Informal
inquiries on the appropriate graduate program are welcome by email.
Candidates should attach a CV and a description of their research interest
in their inquiries.

Research assistant positions. We are looking for candidates with a keen
interest in gaining research experience in Computational Neuroscience,
pursuing their own projects, and supporting those of other team members.
Candidates should have a bachelor's or master's degree in a quantitative
discipline and strong programming skills, ideally in Python. Candidates
interested in joining the laboratory as research associates should send a
CV, a research statement describing past research and career goals (max.
one page), and contact information for two academic referees.

UCLA is an Affirmative Action / Equal Opportunity Employer (AA/EOE). We
strive to promote an inclusive and collaborative work environment. We
welcome applications from diverse backgrounds and perspectives. Individuals
from underrepresented groups are strongly encouraged to apply.

We strongly encourage candidates to apply early as applications will be
reviewed until the positions are filled. The positions are available
immediately with a flexible starting date. Please submit the application
material as a single PDF file with your full name in the file name to
mdipoppa at g.ucla.edu. Informal inquiries are welcome. For more details visit
www.dipoppalab.com.

All the best,
Mario Dipoppa

-- 
*Mario Dipoppa, PhD*
Assistant Professor
*University of California, Los Angeles*
*Department of Neurobiology*
*David Geffen School of Medicine*
*https://www.dipoppalab.com <https://www.dipoppalab.com>*
*mdipoppa at g.ucla.edu <mdipoppa at g.ucla.edu>*
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From hocine.cherifi at gmail.com  Tue Jun  6 05:00:12 2023
From: hocine.cherifi at gmail.com (Hocine Cherifi)
Date: Tue, 6 Jun 2023 11:00:12 +0200
Subject: Connectionists: CFP COMPLEX NETWORKS 2023 Menton Riviera France
	November 28 - 30, 2023
Message-ID: <CAFX-JVvVAaU5nrg4Az8npo4YsC7Q_yVko-BJoEDukMur=ZoRjQ@mail.gmail.com>

*12* *th **International Conference on Complex Networks & Their
Applications*

Menton Riviera <https://www.menton-riviera-merveilles.co.uk/>, France

November 28 - 30, 2023

COMPLEX NETWORKS 2023 <https://complexnetworks.org/>



You are cordially invited to submit your contribution until *September 02,
2023*.



*SPEAKERS*



?       Michael Bronstein
<https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK

?       Kathleen Carley
<https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie
Mellon University USA

?       Manlio De Domenico <https://manliodedomenico.com/> University of
Padua Italy

?       Danai Koutra <http://web.eecs.umich.edu/~dkoutra/> University of
Michigan USA

?       Romualdo Pastor-Satorras <http://www.fen.upc.edu/~romu/> Univ.
Polit?cnica de Catalunya Spain

?       Tao Zhou
<https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China



*TUTORIALS*

?       Tiago de Paula Peixoto <https://skewed.de/tiago> CEU Vienna Austria

?       Maria Liakata
<https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary
University of London UK







*PUBLICATION*

Full papers (not previously published up to 12 pages) and Extended
Abstracts (about published or unpublished research up to 4 pages) are
welcome.

?       *Papers *will be included in the conference *proceedings edited by
Springer*

?       *Extended abstracts* will be published in the *Book of Abstracts
(with ISBN)*



Extended versions will be invited for publication in *special issues of
international journals:*

o   Applied Network Science <https://appliednetsci.springeropen.com/>
edited by Springer

o   Advances in Complex Systems
<https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific

o   Complex Systems  <https://www.complex-systems.com/about/>

o   Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI

o   PLOS <https://journals.plos.org/plosone/> one
<https://journals.plos.org/plosone/>

o   Social Network Analysis and Mining
<https://link.springer.com/journal/13278> edited by Springer



*SUBMISSION*



https://complexnetworks.org/submission/



*TOPICS*

*Topics include, but are not limited to: *

o   Models of Complex Networks

o   Structural Network Properties and Analysis

o   Epidemics

o   Community Structure

o   Motifs

o   Network Mining

o   Network embedding

o   Machine learning with graphs

o   Dynamics and Evolution Patterns of Complex Networks

o   Link Prediction

o   Multilayer Networks

o   Controllability

o   Synchronization

o   Visual Representation

o   Large-scale Graph Analytics

o   Social Reputation, Influence, and Trust

o   Information Spreading in Social Media

o   Rumour and Viral Marketing in Social Networks

o   Recommendation Systems

o   Financial and Economic Networks

o   Mobility

o   Biological and Technological Networks

o   Mobile call Networks

o   Bioinformatics

o   Earth Sciences Applications

o   Resilience and Robustness of Complex Networks

o   Networks for Physical Infrastructures

o   Networks, Smart Cities and Smart Grids

o   Political networks

o   Supply chain networks

o   Complex networks and information systems

o   Complex networks and CPS/IoT

o   Graph signal processing

o   Cognitive Network Science

o   Network Medicine

o   Network Neuroscience

o   Quantifying success through network analysis

o   Temporal and spatial networks

o   Historical Networks

o   Graph-Based Natural Language Processing



*GENERAL CHAIRS*

Hocine Cherifi (University of Burgundy, France)

Luis M. Rocha (Binghamton University, USA)
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From alan.fung at cityu.edu.hk  Tue Jun  6 07:01:52 2023
From: alan.fung at cityu.edu.hk (Dr. Chi Chung Alan FUNG)
Date: Tue, 6 Jun 2023 11:01:52 +0000
Subject: Connectionists: Paper Invitation: [Mathematics] SI: Mathematical
 Models and Novel Data-Analyzing Methods in Neuroscience
Message-ID: <OSZP286MB2237B27848738DC7B43A3702C952A@OSZP286MB2237.JPNP286.PROD.OUTLOOK.COM>

Dear Colleagues,

We are editing a Special Issue entitled "*Mathematical Models and Novel Data-Analyzing Methods in Neuroscience *" from the open-access journal-"Mathematics" from Switzerland (Q1, IF: 2.592).


We would like to invite you and your team to contribute a work to this special issue. The submission deadline is *31 December 2023* and papers may be submitted at any point until 31 December 2023, as papers will be published on an ongoing basis. For more information on this Special Issue and submission guidelines, please visit the following page:
https://www.mdpi.com/si/mathematics/56KD7YAN64

Besides, we also encourage authors to send a short abstract or tentative title to us (alan.fung at cityu.edu.hk<mailto:alan.fung at cityu.edu.hk> or/and wenhao.zhang at utsouthwestern.edu<mailto:wenhao.zhang at utsouthwestern.edu> ) in advance. If you are interested in this special issue, please feel free to contact us or the special issue editor Allison Zhang (allison.zhang at mdpi.com<mailto:allison.zhang at mdpi.com>)

Many thanks for considering it. We look forward to hearing from you soon.

Best regards,

Dr. Chi Chung Alan Fung
Dr. Wen-Hao Zhang
Guest Editors




Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited.
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From mathias.verbeke at kuleuven.be  Wed Jun  7 03:53:57 2023
From: mathias.verbeke at kuleuven.be (Mathias Verbeke)
Date: Wed, 7 Jun 2023 07:53:57 +0000
Subject: Connectionists: Embedded AI for Industry Summer School
Message-ID: <20F9C2F3-888E-4BE4-893E-E4FD639E1C14@kuleuven.be>

***********************************************

Summer School EMBEDDED AI FOR INDUSTRY

KU Leuven, Bruges, Belgium

September 6 ? 8, 2023

***********************************************

The Postuniversity Centre of KU Leuven is organizing a 3-day summer school on Embedded AI in Industry at the KU Leuven campus in Bruges, Belgium. It offers a unique platform for AI professionals to learn about the latest developments in embedded AI and its applications, alternating theoretical sessions and hands-on experiments.

During this exclusive summer school, we will examine in detail how machine and deep learning can be applied at the device level, and which components and frameworks are needed for edge processing. Both hardware and software will be covered, as well as techniques for optimizing network architectures. In addition, there is plenty of room to experiment under experts' guidance and to bridge the gap in your business case.

Online registration before August 30th. Because of the hands-on character of the training, the number of participants is limited.

More information, including an overview of the program and registration details in the attached leaflet or via https://puc.kuleuven.be/nl/opleiding/embedded_ai_for_industry-xyr4jlre7mgv3e7a
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From C.ODonnell2 at ulster.ac.uk  Tue Jun  6 13:04:31 2023
From: C.ODonnell2 at ulster.ac.uk (O'Donnell, Cian)
Date: Tue, 6 Jun 2023 17:04:31 +0000
Subject: Connectionists: ISRC-CN3 Autumn School at Ulster University
Message-ID: <DB7PR06MB4806331725B6E70658313D389152A@DB7PR06MB4806.eurprd06.prod.outlook.com>

The Intelligent Systems Research Centre (ISRC) from Ulster University, Derry~Londonderry campus is delighted to announce that the international Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3) Autumn School will be held again for the third time this year. The school will be organised in a hybrid mode, providing facilities for both in-person and online attendees.

Supported by the IEEE Computational Intelligence Society, IEEE Brain and other sponsors, this year's Autumn School will run from the 25th October to 31st October 2023, inclusively.

The topics covered in the seven-day ISRC-CN3 Autumn School include:
?         mathematical foundations in neuroscience
?         computational modelling of neural-glial systems, neuromodulators and cognition
?         neural data science
?         neurotechnology
?         neuromorphic computing and self-repaired intelligent machines
?         spiking neural networks and applications
?         cognitive robotics
?         ethics in neurotechnology and AI
?         entrepreneurship in neurotechnology and AI

This ISRC-CN3 Autumn School is unique not only in the range and types of topics covered but it will also be delivered in an integrated way, from pedagogical to advanced levels. The school is primarily targeted at PhD student level but we also welcome applications from advanced undergraduates, masters students, medical students, postdoctoral researchers, academic faculty, and industrial researchers. Registration is made highly affordable, and bursaries may be available.

Academic researchers at the ISRC and invited external speakers will contribute to the delivery of this seven-day School, which will consist of lectures, labs and group projects. Attendees will have the opportunity to present their group work on the final day, and awards will be given to the top presenters. Partial travel bursary will be provided to selected attendees.

For more information and application, please visit the website at:
https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-environment/computing-engineering-intelligent-systems/isrc-cn3-autumn-school

Application for the Autumn School is now opened for both in-person and online attendees. The deadline for in-person application is 20th July 2023 and online application is 15th September.

For further information, queries, or sponsorship (and its benefits), please do not hesitate to contact Dr Saugat Bhattacharyya (s.bhattacharyya at ulster.ac.uk<mailto:s.bhattacharyya at ulster.ac.uk>).


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From carriere.maxime93 at gmail.com  Wed Jun  7 10:00:58 2023
From: carriere.maxime93 at gmail.com (maxime carriere)
Date: Wed, 7 Jun 2023 16:00:58 +0200
Subject: Connectionists: 2 PhD positions in Computational Neuroscience
	[Deadline 08/06/2023]
Message-ID: <CALi_JEgsf_oWvb0NoD4+MRJcKavdUWeox6ZK6=GL-qMEzfzfwg@mail.gmail.com>

Hello,


We are opening two Ph.D. positions in Computational Neuroscience, at the
Freie Universit?t in Berlin.

The ERC Advanced Grant ?Material Constraints Enabling Human Cognition
(MatCo)? at the Freie Universit?t Berlin aims to build network models of
the human brain that mimic neurocognitive processes involved in language,
communication and cognition. A main strategy is to use neural network
models constrained by neuroanatomical and neurophysiological features of
the human brain in order to explain aspects of human cognition. To this
end, neural network simulations are performed and evaluated in
neurophysiological and neurometabolic experiments. This neurocomputational
and experimental research targets novel explanations of human language and
cognition on the basis of neurobiological principles.
More information about the project can be found here: www.fu-berlin.de/matco
  <http://www.fu-berlin.de/matco>

job description:

   - Simulation studies with neural network models of language and cognition
   - Preparation, implementation and evaluation of neurocognitive
   experiments on language and cognition (ECoG, EEG, fMRI)
   - Tractography analyzes and use of their results for optimizing neural
   models

Requirements:

   - Completed university degree (MA, MSc or equivalent) in a relevant
   field (eg, linguistics, psychology, cognitive neuroscience, medicine,
   informatics)

Desirable:

   - Research experience with biologically constrained neural networks and
   with network simulations of cognitive processes
   - Experience in empirical experimental language research
   - Research experience in the fields of syntax, semantics or pragmatics
   - Very good programming skills
   - Good German skills
   - Very good English skills (minimum level C1)

In case of further questions, please contact Prof. Dr. Friedemann
Pulverm?ller  friedemann.pulvermuller at fu-berlin.de .

Applications should be sent by e-mail, together with significant documents,
indicating the  reference code , in PDF format (preferably as one
document)  no later than 08/06/2023  to Prof. Dr. Friedemann Pulverm?ller:
admin at brainlang.fu-berlin.de  or postal to

Freie Universit?t Berlin
Department of Philosophy and Humanities
Brain Language Laboratory
Third-Party funded project MatCo
Prof. Dr. Friedemann Pulverm?ller
Habelschwerdter Allee 45
14195 Berlin (Dahlem)

With an electronic application, you acknowledge that FU Berlin saves and
processes your data. FU Berlin cannot guarantee the security of your
personal data if you send your application over an unencrypted connection.
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From gualtiero.volpe at unige.it  Wed Jun  7 17:06:23 2023
From: gualtiero.volpe at unige.it (Gualtiero Volpe)
Date: Wed, 7 Jun 2023 23:06:23 +0200 (CEST)
Subject: Connectionists: ICMI 2023 Call for Blue Sky Papers
Message-ID: <1396257093.20.1686171983825@[192.168.1.177]>

===========================================
ACM ICMI 2023 2ND CALL FOR BLUE SKY PAPERS    
===========================================
9-13 October 2023, Paris - France
https://icmi.acm.org/2023/
===========================================

ICMI 2023 is pleased to partner with the Computing Community Consortium (CCC) to continue the Blue Sky Paper track, initialized in 2021 and continued in 2022, that emphasizes innovative, visionary, and high-impact contributions. This track solicits papers relevant to ICMI content that go beyond the usual research paper to present new visions that stimulate the ICMI community to pursue innovative directions. They may challenge existing assumptions and methodologies or propose new applications or theories. The papers are encouraged to present high-risk controversial ideas. Submitted papers are expected to represent deep reflection, argue rigorously, and present ideas from a high-level synthetic viewpoint (e.g., multidisciplinary, based on multiple methodologies). 

The review of the submissions will be handled by the Blue Sky Paper Chairs: Carlos Busso (University of Texas At Dallas), Philippe Palanque (University Toulouse III, France), and Bj?rn Schuller (University of Augsburg, Germany). Three winners will be selected for presentation in the Blue Sky Paper track and publication in the conference proceedings. The CCC will sponsor awards to honor the first ($1,000), second ($750), and third ($500) place winners in the form of travel grants. In addition, they will further distribute and publicize the three Blue Sky award papers.

Important Dates
---------------
Paper Submission		June 17th, 2023
Paper notification		July 14th, 2023
Camera-ready paper		August 14th, 2023
Presenting at main conference	October 9-13, 2023


From steve at bu.edu  Wed Jun  7 18:08:08 2023
From: steve at bu.edu (Grossberg, Stephen)
Date: Wed, 7 Jun 2023 22:08:08 +0000
Subject: Connectionists: Sentient AI Survey Results: How analysis of
 learning without catastrophic forgetting led to neural models of conscious
 brain states
In-Reply-To: <CAEqw-uJ5M3ZXt3q9py3NzhSF_a9wvoPvG+Dpa2EHA5q46aGwVQ@mail.gmail.com>
References: <CAEqw-uJ_sWKsowim+7PNQmx9EekDHkwVuYiKcU2ELzwPDbucDg@mail.gmail.com>
 <PH0PR03MB642934EF1D88F8B17F8FCE31C653A@PH0PR03MB6429.namprd03.prod.outlook.com>
 <CAEqw-uJ5M3ZXt3q9py3NzhSF_a9wvoPvG+Dpa2EHA5q46aGwVQ@mail.gmail.com>
Message-ID: <PH0PR03MB6429CFE6739434B3B690E754C653A@PH0PR03MB6429.namprd03.prod.outlook.com>

Dear Steve,

Thanks for your prompt and thoughtful reply!

I will respond mostly to your question:

?I think a question remains after all the details get worked out in how consciousness arises in brains, why should it only happen at that level of natural resonant oscillation??

I should at the outset note that my first discoveries about CONSCIOUSNESS emerged from my work on how humans LEARN quickly without being forced to forget just as quickly.

Otherwise, expressed:

How do we learn quickly without experiencing catastrophic forgetting?

I called this problem the stability-plasticity dilemma.

Starting in 1976, I started to solve this problem when I introduced Adaptive Resonance Theory, or ART.

After incremental principled development to the present time, ART is now the most advanced cognitive and neural theory of how our brains learn to attend, recognize, and predict objects and events in a changing world that is filled with unexpected events.

This claim is supported in several ways:

All the foundational hypotheses of ART have been supported by subsequent psychological and neurobiological experiments.

ART has also provided principled and unifying explanations of scores of additional experiments.

Last but not least, by 1980, I published in an oft-cited article in Psychological Review, a THOUGHT EXPERIMENT which shows that ART systems are the UNIQUE solutions of the problem of how ANY system can AUTONOMOUSLY LEARN to CORRECT PREDICTIVE ERRORS in a changing world that is filled with unexpected events.

The CogEM (Cognitive-Emotional-Motor) model was also derived from a THOUGHT EXPERIMENT and explains lots of interdisciplinary data about how cognition and emotion interact to achieve valued goals.

The hypotheses used to derive these models are familiar facts that we all know from our daily experiences. Thus, if you cannot find a logical flaw in the thought experiments, they logically follow from undeniable facts. No one has, to the best of my knowledge, yet reported such a logical flaw.

Morevoer, these facts never mention mind or brain.

Thus ART and CogEM are UNIVERSAL solutions of these learning and prediction problems.

Moreover, both classes of models solve their problems using different kinds of ADAPTIVE RESONANCES.

Explanations of many other kinds of data fell out of the wash:

For example, these models explain how specific breakdowns in brain mechanisms cause behavioral symptoms of MENTAL DISORDERS, including Alzheimer's disease, autism, amnesia, schizophrenia, and ADHD.

I only realized later that ART and CogEM together also explain HOW, WHERE in our brains, and WHY our brains support CONSCIOUS STATES OF SEEING, HEARING, FEELING, and KNOWING, and use these conscious states to PLAN and ACT to realize valued goals.

This latter realization arose after I used ART to provide unified and principled explanations of how interacting brain mechanisms gave rise to parametric properties of psychological behaviors.

I gradually realized that the psychological behaviors being explained were conscious. I had, through the back door as it were, discovered how adaptive resonances generate conscious behaviors.

The classification of six resonances that I listed in my earlier email gradually arose from similar principled explanations of different kinds of psychological experiences.

As I earlier mentioned, I explain all this in a self-contained and non-technical way in my Magnum Opus:

https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552

Best again,

Steve

From: Stephen Deiss <sdeiss at ucsd.edu>
Date: Wednesday, June 7, 2023 at 12:17 PM
To: Grossberg, Stephen <steve at bu.edu>
Cc: Jeff Krichmar <jkrichma at uci.edu>, connectionists at cs.cmu.edu <connectionists at cs.cmu.edu>
Subject: Re: Connectionists: Sentient AI Survey Results
Hi Steve,

Thanks for adding these comments.  My bad for not including you on that list of consciousness researchers.  I admit to having your book on my shelf but I have not started on it yet.  I'm somewhat familiar with ART and its historical development, and resonance fits right in with my summary term of 'coupled areas.'  (Actually, I started down my own quest reading many of your papers about ART in the early 80's after we had lunch at NTSU in Denton, TX where you spoke and gave what the conference host called your 'big mountain' view as you may recall.). Resonance or global coherent oscillations in brains, ignoring finer distinctions, has always seemed a non-brainer to me since reading Hebb (OoB).  Your work developed Hebb's intuitions into a quantitative and experimentally supported coherent theory.  Thank you for sharing the synopsis for all here.

I think a question remains after all the details get worked out in how consciousness arises in brains, why should it only happen at that level of natural resonant oscillation?  Resonance or what underlies it may go very deep.  If socially-informed self-awareness is dropped as an assumed requirement, and if 'sensation' is treated as more than a metaphor for what happens in more elementary systems participating in events, then there is an opening for a paradigm shift in how we think about conscious systems.  This has no small bearing on how an artifact could be conscious too.  I will have more to present about this bottom-up thinking about consciousness soon in a planned publication.

Best,
Steve



On Wed, Jun 7, 2023 at 8:24?AM Grossberg, Stephen <steve at bu.edu<mailto:steve at bu.edu>> wrote:
Dear Steve,

There is a tendency to conflate AI with a particular neural network, Deep Learning.

Deep Learning, and related models, are biologically impossible and omit key processes that make humans intelligent, in addition to being UNTRUSTWORTHY (because they are NOT EXPLAINABLE) and UNRELIABLE (because they experience CATASTROPHIC FORGETTING).

In contrast, biological neural networks that have been developed and published in visible archival journals over the past 50+ years have none of these problems.

These models provide unified and principled explanations of many psychological and neurobiological facts about how our brains make our minds.

They have also been implemented over the last several decades in many large-scale applications in engineering, technology, and AI.

Along the way, they provide explanations of HOW, WHERE in our brains, and WHY from a deep computational perspective, humans can CONSCIOUSLY SEE, HEAR, FEEL, and KNOW about objects and events in a changing world that is filled with unexpected events, and use these conscious representations to PLAN, PREDICT, and ACT to realize VALUED GOALS.

From my perspective, a credible theory of consciousness needs to LINK brain mechanisms to conscious psychological experiences.

Without knowing the brain mechanisms, one does not understand HOW consciousness arises.

Without knowing the emergent psychological experiences, one does not understand the CONTENTS of conscious awareness.

Significantly, neural models that do this can be derived from THOUGHT EXPERIMENTS whose hypotheses are a few simple facts that we all know from our daily experiences.

My Magnum Opus

CONSCIOUS MIND: RESONANT BRAIN: HOW EACH BRAIN MAKES A MIND
https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552<https://urldefense.com/v3/__https:/www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552__;!!Mih3wA!EadrIVIL2DqjS4bZ3vkctcvdyc9hTpeWv_1r1RTEDkA9GgQG2lYHXCU0LmD7956z0BrgikH8Xe8$>

provides a self-contained and non-technical overview and synthesis of how our brains make our conscious minds, and explains several ways in which consciousness may fail.

In the book, six different kinds of conscious awareness, with different functional roles, in different parts of our brains are classified and used to explain lots of interdisciplinary data.

All of them arise from BRAIN RESONANCES:

Surface-shroud resonances enable us to consciously see visual objects and scenes.

Feature-category resonances enable us to consciously recognize visual objects and scenes.

Stream-shroud resonances enable us to consciously hear auditory objects and streams.

Spectral-pitch-and-timbre resonances enable us to consciously recognize auditory objects and streams.

Item-list resonances enable us to consciously recognize speech and language.

Cognitive-emotional resonances enable us to consciously feel emotions and know their sources.

Best,

Steve
sites.bu.edu/steveg<http://sites.bu.edu/steveg>



From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu<mailto:connectionists-bounces at mailman.srv.cs.cmu.edu>> on behalf of Stephen Deiss <sdeiss at ucsd.edu<mailto:sdeiss at ucsd.edu>>
Date: Monday, June 5, 2023 at 2:17 AM
To: Jeff Krichmar <jkrichma at uci.edu<mailto:jkrichma at uci.edu>>
Cc: connectionists at cs.cmu.edu<mailto:connectionists at cs.cmu.edu> <connectionists at cs.cmu.edu<mailto:connectionists at cs.cmu.edu>>
Subject: Re: Connectionists: Sentient AI Survey Results
Hi Jeff,

Survey questions do not get much more complicated than this, and the social scientists and pollsters would spank us for using open-ended terminology like 'consciousness' to get an accurate opinion sample.

So let's start with a definition of consciousness that goes beyond the Nagel "There is something it is like."  It never has been very informative.  It was only useful to suppress arguments about what 'IT' is, and it helped to get philosophers off their fear of talking about consciousness.  From an epistemological standpoint, we have some kind of sensation of what we are conscious of even if it is only the itch in our head we call a thought.  We interpret these sensations by inference to their meaning.  The meaning might be the next thoughts (or subthreshold possible thoughts as happens with a feeling of understanding) or a belief of what is beyond the sensation such as the chair 'out there' beyond my visual or tactile sensations.  The meaning is our interpretation of the sensation, a set of inferences beyond it.  Furthermore, this interpretation lasts long enough to register in our working memory.  Otherwise, it passes by without notice like the scenes along the road while driving and talking.

So my definition is that consciousness is a process of interpreting sensations for their meaning and holding that meaning in working memory for some minimal time. Key terms are sensation, meaning, and memory.

Many think consciousness requires self-awareness or reflexiveness.  I don't because people sometimes 'lose themselves' enraptured in the experienced moment.  Music, lovemaking, extreme sports, psychedelic trips, and other things that can induce a fugue state are examples.  But our average consciousness is self-aware or has self-knowledge.  We usually know we are having an experience when we are having it.

So for question Q1, a preliminary hurdle might be that the AI system or robot have sensations or feelings.  That seems to imply robot-like embodiment, and that of a certain kind that can result in qualitative feelings to be interpreted (dare I say qualia?).  We tend to think of AI these days as being software running on a computer.  Neuroscientists think of consciousness as wide-spread coupled activity in cortical areas (Dennett, Baars, Dehaene, Llinas, Ribary, Singer, Tononi & Koch...).  This suggests to some multiple realizability might work if we can just get the mechanism right.

To me, it suggests that our mechanistic worldview with assumed or implied governing laws (governing from a platonic realm or from on-high) is overlooking the intrinsic nature of the things that participate in events - the real stuff.  Nature from the bottom up can be thought of as more organic - feeling its way along based on internal constraints.  Call it panpsychism, panexperientialism, or ... depending on desired flavor.  But the idea is that everything that happens in nature involves sensing, and the resulting event or action involved self-reference to the state of the system that would react as internally constrained.

From this perspective, Q1 is a definite yes, but for the AI to be like us, it needs to have feelings, not just an algorithm parroting what people say when they have feelings.  Without compassion and feelings to guide, a software bug could become a deadly monster.

For Q2: I think we should but it should be done with ethical concerns and studied regulation up front.  Right now the cat is out of the bag and out of control with every white hat and black hat hacker having near full access to the tools to do tremendous good and harm.  This has to be reigned in fast.  I was one of those who signed the FLI petition early on.  If for no other reason, this has to be done because when full AGI takes off capitalism, socialism, etc will have to be rethought as to how to support a society where there's not that much labor left for laborers to do.  Who will pay the taxes to keep up social security, medicare, public health, agriculture, infrastructure maintenance, and so on done by robots with AGI.  If 100 million Americans are laid off indefinitely, I think there will be a few pissed-off people marching on Washington making the last fiasco there look pretty tame.

For Q3: Not unless it can provably attain a level of consciousness with feelings to match humans.  Who decides that?  I do not know.  But I hope it is not the most gullible among us who mistake stochastic parroting for the real thing.  We are all easily fooled into projecting.  I eat things every day as a vegetarian panpsychist that I think have or had some level of awareness.  I have no problem turning off a computer or hitting reset no matter what algorithm is running on it.  But if the AI can convince me that it will feel the pain of death, and it has a track record of doing good things for all life, I would have to think twice even if it looked like a machine.  According to the biochemists, I'm a machine - just a special type with feelings.  If someone claims these feelings are illusions, ask them how they treat their friends or kids.

Thanks for the chance to weigh in.
Steve Deiss
UCSD I.N.C. (retired, but not done)


On Wed, May 31, 2023 at 4:13?AM Jeffrey L Krichmar <jkrichma at uci.edu<mailto:jkrichma at uci.edu>> wrote:
Dear Connectionists,

I am teaching an undergraduate course on ?AI in Culture and Media?. Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.

Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
Q2: Do you think we should build conscious or sentient AI?            22% answered yes
Q3: Do you think AI should have rights?                                          54% answered yes

I thought many of you would find this interesting.  And my students would like to hear your views on the topic.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma at uci.edu<mailto:jkrichma at uci.edu>
http://www.socsci.uci.edu/~jkrichma<https://urldefense.com/v3/__http:/www.socsci.uci.edu/*jkrichma__;fg!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZaZ83AkV$>
https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/<https://urldefense.com/v3/__https:/www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/__;!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZT4hUUls$>

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From steve at bu.edu  Wed Jun  7 11:24:53 2023
From: steve at bu.edu (Grossberg, Stephen)
Date: Wed, 7 Jun 2023 15:24:53 +0000
Subject: Connectionists: Sentient AI Survey Results
In-Reply-To: <CAEqw-uJ_sWKsowim+7PNQmx9EekDHkwVuYiKcU2ELzwPDbucDg@mail.gmail.com>
References: <CAEqw-uJ_sWKsowim+7PNQmx9EekDHkwVuYiKcU2ELzwPDbucDg@mail.gmail.com>
Message-ID: <PH0PR03MB642934EF1D88F8B17F8FCE31C653A@PH0PR03MB6429.namprd03.prod.outlook.com>

Dear Steve,

There is a tendency to conflate AI with a particular neural network, Deep Learning.

Deep Learning, and related models, are biologically impossible and omit key processes that make humans intelligent, in addition to being UNTRUSTWORTHY (because they are NOT EXPLAINABLE) and UNRELIABLE (because they experience CATASTROPHIC FORGETTING).

In contrast, biological neural networks that have been developed and published in visible archival journals over the past 50+ years have none of these problems.

These models provide unified and principled explanations of many psychological and neurobiological facts about how our brains make our minds.

They have also been implemented over the last several decades in many large-scale applications in engineering, technology, and AI.

Along the way, they provide explanations of HOW, WHERE in our brains, and WHY from a deep computational perspective, humans can CONSCIOUSLY SEE, HEAR, FEEL, and KNOW about objects and events in a changing world that is filled with unexpected events, and use these conscious representations to PLAN, PREDICT, and ACT to realize VALUED GOALS.

From my perspective, a credible theory of consciousness needs to LINK brain mechanisms to conscious psychological experiences.

Without knowing the brain mechanisms, one does not understand HOW consciousness arises.

Without knowing the emergent psychological experiences, one does not understand the CONTENTS of conscious awareness.

Significantly, neural models that do this can be derived from THOUGHT EXPERIMENTS whose hypotheses are a few simple facts that we all know from our daily experiences.

My Magnum Opus

CONSCIOUS MIND: RESONANT BRAIN: HOW EACH BRAIN MAKES A MIND
https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552

provides a self-contained and non-technical overview and synthesis of how our brains make our conscious minds, and explains several ways in which consciousness may fail.

In the book, six different kinds of conscious awareness, with different functional roles, in different parts of our brains are classified and used to explain lots of interdisciplinary data.

All of them arise from BRAIN RESONANCES:

Surface-shroud resonances enable us to consciously see visual objects and scenes.

Feature-category resonances enable us to consciously recognize visual objects and scenes.

Stream-shroud resonances enable us to consciously hear auditory objects and streams.

Spectral-pitch-and-timbre resonances enable us to consciously recognize auditory objects and streams.

Item-list resonances enable us to consciously recognize speech and language.

Cognitive-emotional resonances enable us to consciously feel emotions and know their sources.

Best,

Steve
sites.bu.edu/steveg



From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> on behalf of Stephen Deiss <sdeiss at ucsd.edu>
Date: Monday, June 5, 2023 at 2:17 AM
To: Jeff Krichmar <jkrichma at uci.edu>
Cc: connectionists at cs.cmu.edu <connectionists at cs.cmu.edu>
Subject: Re: Connectionists: Sentient AI Survey Results
Hi Jeff,

Survey questions do not get much more complicated than this, and the social scientists and pollsters would spank us for using open-ended terminology like 'consciousness' to get an accurate opinion sample.

So let's start with a definition of consciousness that goes beyond the Nagel "There is something it is like."  It never has been very informative.  It was only useful to suppress arguments about what 'IT' is, and it helped to get philosophers off their fear of talking about consciousness.  From an epistemological standpoint, we have some kind of sensation of what we are conscious of even if it is only the itch in our head we call a thought.  We interpret these sensations by inference to their meaning.  The meaning might be the next thoughts (or subthreshold possible thoughts as happens with a feeling of understanding) or a belief of what is beyond the sensation such as the chair 'out there' beyond my visual or tactile sensations.  The meaning is our interpretation of the sensation, a set of inferences beyond it.  Furthermore, this interpretation lasts long enough to register in our working memory.  Otherwise, it passes by without notice like the scenes along the road while driving and talking.

So my definition is that consciousness is a process of interpreting sensations for their meaning and holding that meaning in working memory for some minimal time. Key terms are sensation, meaning, and memory.

Many think consciousness requires self-awareness or reflexiveness.  I don't because people sometimes 'lose themselves' enraptured in the experienced moment.  Music, lovemaking, extreme sports, psychedelic trips, and other things that can induce a fugue state are examples.  But our average consciousness is self-aware or has self-knowledge.  We usually know we are having an experience when we are having it.

So for question Q1, a preliminary hurdle might be that the AI system or robot have sensations or feelings.  That seems to imply robot-like embodiment, and that of a certain kind that can result in qualitative feelings to be interpreted (dare I say qualia?).  We tend to think of AI these days as being software running on a computer.  Neuroscientists think of consciousness as wide-spread coupled activity in cortical areas (Dennett, Baars, Dehaene, Llinas, Ribary, Singer, Tononi & Koch...).  This suggests to some multiple realizability might work if we can just get the mechanism right.

To me, it suggests that our mechanistic worldview with assumed or implied governing laws (governing from a platonic realm or from on-high) is overlooking the intrinsic nature of the things that participate in events - the real stuff.  Nature from the bottom up can be thought of as more organic - feeling its way along based on internal constraints.  Call it panpsychism, panexperientialism, or ... depending on desired flavor.  But the idea is that everything that happens in nature involves sensing, and the resulting event or action involved self-reference to the state of the system that would react as internally constrained.

From this perspective, Q1 is a definite yes, but for the AI to be like us, it needs to have feelings, not just an algorithm parroting what people say when they have feelings.  Without compassion and feelings to guide, a software bug could become a deadly monster.

For Q2: I think we should but it should be done with ethical concerns and studied regulation up front.  Right now the cat is out of the bag and out of control with every white hat and black hat hacker having near full access to the tools to do tremendous good and harm.  This has to be reigned in fast.  I was one of those who signed the FLI petition early on.  If for no other reason, this has to be done because when full AGI takes off capitalism, socialism, etc will have to be rethought as to how to support a society where there's not that much labor left for laborers to do.  Who will pay the taxes to keep up social security, medicare, public health, agriculture, infrastructure maintenance, and so on done by robots with AGI.  If 100 million Americans are laid off indefinitely, I think there will be a few pissed-off people marching on Washington making the last fiasco there look pretty tame.

For Q3: Not unless it can provably attain a level of consciousness with feelings to match humans.  Who decides that?  I do not know.  But I hope it is not the most gullible among us who mistake stochastic parroting for the real thing.  We are all easily fooled into projecting.  I eat things every day as a vegetarian panpsychist that I think have or had some level of awareness.  I have no problem turning off a computer or hitting reset no matter what algorithm is running on it.  But if the AI can convince me that it will feel the pain of death, and it has a track record of doing good things for all life, I would have to think twice even if it looked like a machine.  According to the biochemists, I'm a machine - just a special type with feelings.  If someone claims these feelings are illusions, ask them how they treat their friends or kids.

Thanks for the chance to weigh in.
Steve Deiss
UCSD I.N.C. (retired, but not done)


On Wed, May 31, 2023 at 4:13?AM Jeffrey L Krichmar <jkrichma at uci.edu<mailto:jkrichma at uci.edu>> wrote:
Dear Connectionists,

I am teaching an undergraduate course on ?AI in Culture and Media?. Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.

Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
Q2: Do you think we should build conscious or sentient AI?            22% answered yes
Q3: Do you think AI should have rights?                                          54% answered yes

I thought many of you would find this interesting.  And my students would like to hear your views on the topic.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma at uci.edu<mailto:jkrichma at uci.edu>
http://www.socsci.uci.edu/~jkrichma<https://urldefense.com/v3/__http:/www.socsci.uci.edu/*jkrichma__;fg!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZaZ83AkV$>
https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/<https://urldefense.com/v3/__https:/www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/__;!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZT4hUUls$>

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From sdeiss at ucsd.edu  Thu Jun  8 01:02:59 2023
From: sdeiss at ucsd.edu (Stephen Deiss)
Date: Wed, 7 Jun 2023 22:02:59 -0700
Subject: Connectionists: Sentient AI Survey Results: How analysis of
 learning without catastrophic forgetting led to neural models of conscious
 brain states
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Message-ID: <CAEqw-uKVpOxcaS3mzo_jyQ2uWtT7nvuS+3ed1RnWidZ6CmWykA@mail.gmail.com>

Steve,

This is very interesting.  Let me read your tome and get back with some
better informed questions if you have time for a few.  One I have upfront
follows.

The claim is that ART and CogEM together provide a backdoor explanation of
consciousness in any system.  But is it assumed that the system has to be
capable of emotion, learning, and memory?  Those are 4 loaded terms.  So
how far down do you think such systems go in nature?

Sincerely,
Steve D.

On Wed, Jun 7, 2023 at 3:08?PM Grossberg, Stephen <steve at bu.edu> wrote:

> Dear Steve,
>
>
>
> Thanks for your prompt and thoughtful reply!
>
>
>
> I will respond mostly to your question:
>
>
>
> ?I think a question remains after all the details get worked out in how
> consciousness arises in brains, why should it only happen at that level of
> natural resonant oscillation??
>
>
>
> I should at the outset note that my first discoveries about CONSCIOUSNESS
> emerged from my work on *how humans LEARN quickly without being forced to
> forget just as quickly.*
>
>
>
> Otherwise, expressed:
>
>
>
> *How do we learn quickly without experiencing catastrophic forgetting?*
>
>
>
> I called this problem the *stability-plasticity dilemma.*
>
>
>
> Starting in 1976, I started to solve this problem when I introduced *Adaptive
> Resonance Theory*, or ART.
>
>
>
> After incremental principled development to the present time, ART is now
> the *most advanced cognitive and neural theory of how our brains learn to
> attend, recognize, and predict objects and events in a changing world*
> that is filled with unexpected events.
>
>
>
> This claim is supported in several ways:
>
>
>
> All the *foundational hypotheses* of ART have been supported by
> subsequent psychological and neurobiological experiments.
>
>
>
> ART has also provided *principled and unifying explanations* of scores of
> additional experiments.
>
>
>
> Last but not least, by 1980, I published in an oft-cited article in *Psychological
> Review*, a *THOUGHT EXPERIMENT* which shows that ART systems are *the
> UNIQUE solutions of the problem of how ANY system can AUTONOMOUSLY LEARN to
> CORRECT PREDICTIVE ERRORS in a changing world that is filled with
> unexpected events*.
>
>
>
> The* CogEM* (Cognitive-Emotional-Motor) model was also derived from a
> THOUGHT EXPERIMENT and explains lots of interdisciplinary data about *how
> cognition and emotion interact to achieve valued goals*.
>
>
>
> The hypotheses used to derive these models are familiar facts that we all
> know from our daily experiences. Thus, if you cannot find a logical flaw in
> the thought experiments, they logically follow from undeniable facts. No
> one has, to the best of my knowledge, yet reported such a logical flaw.
>
>
>
> Morevoer, these facts never mention mind or brain.
>
>
>
> *Thus ART and CogEM are UNIVERSAL solutions of these learning and
> prediction problems*.
>
>
>
> Moreover, *both classes of models solve their problems using different
> kinds of ADAPTIVE RESONANCES*.
>
>
>
> Explanations of many other kinds of data fell out of the wash:
>
>
>
> For example, these models explain how specific breakdowns in brain
> mechanisms cause behavioral symptoms of *MENTAL DISORDERS*, including
> Alzheimer's disease, autism, amnesia, schizophrenia, and ADHD.
>
>
>
> I only realized later that ART and CogEM together also *explain HOW,
> WHERE in our brains, and WHY our brains support CONSCIOUS STATES OF SEEING,
> HEARING, FEELING, and KNOWING, and use these conscious states to PLAN and
> ACT to realize valued goals*.
>
>
>
> This latter realization arose after I used ART to provide *unified and
> principled explanations of how interacting brain mechanisms gave rise to
> parametric properties of psychological behaviors*.
>
>
>
> I gradually realized that *the psychological behaviors being explained
> were conscious*. I had, through the back door as it were, discovered *how
> adaptive resonances generate conscious behaviors*.
>
>
>
> The classification of six resonances that I listed in my earlier email
> gradually arose from similar principled explanations of different kinds of
> psychological experiences.
>
>
>
> As I earlier mentioned, I explain all this in a self-contained and
> non-technical way in my Magnum Opus:
>
>
>
> https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552
> <https://urldefense.com/v3/__https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552__;!!Mih3wA!ECkl6YgJGiyeT8S7ckGRdwjdMkTaH6l8kLD7GcVKJL9seMtkfwiee-KBJ6ojPAveG83T8niE_9Y$>
>
>
>
> Best again,
>
>
>
> Steve
>
>
>
> *From: *Stephen Deiss <sdeiss at ucsd.edu>
> *Date: *Wednesday, June 7, 2023 at 12:17 PM
> *To: *Grossberg, Stephen <steve at bu.edu>
> *Cc: *Jeff Krichmar <jkrichma at uci.edu>, connectionists at cs.cmu.edu <
> connectionists at cs.cmu.edu>
> *Subject: *Re: Connectionists: Sentient AI Survey Results
>
> Hi Steve,
>
>
>
> Thanks for adding these comments.  My bad for not including you on that
> list of consciousness researchers.  I admit to having your book on my shelf
> but I have not started on it yet.  I'm somewhat familiar with ART and its
> historical development, and resonance fits right in with my summary term of
> 'coupled areas.'  (Actually, I started down my own quest reading many of
> your papers about ART in the early 80's after we had lunch at NTSU in
> Denton, TX where you spoke and gave what the conference host called your
> 'big mountain' view as you may recall.). Resonance or global coherent
> oscillations in brains, ignoring finer distinctions, has always seemed a
> non-brainer to me since reading Hebb (OoB).  Your work developed Hebb's
> intuitions into a quantitative and experimentally supported coherent
> theory.  Thank you for sharing the synopsis for all here.
>
>
>
> I think a question remains after all the details get worked out in how
> consciousness arises in brains, why should it only happen at that level of
> natural resonant oscillation?  Resonance or what underlies it may go very
> deep.  If socially-informed self-awareness is dropped as an assumed
> requirement, and if 'sensation' is treated as more than a metaphor for what
> happens in more elementary systems participating in events, then there is
> an opening for a paradigm shift in how we think about conscious systems.
> This has no small bearing on how an artifact could be conscious too.  I
> will have more to present about this bottom-up thinking about consciousness
> soon in a planned publication.
>
>
>
> Best,
>
> Steve
>
>
>
>
>
>
>
> On Wed, Jun 7, 2023 at 8:24?AM Grossberg, Stephen <steve at bu.edu> wrote:
>
> Dear Steve,
>
>
>
> There is a tendency to conflate AI with a particular neural network, Deep
> Learning.
>
>
>
> Deep Learning, and related models, are biologically impossible and omit
> key processes that make humans intelligent, in addition to being
> UNTRUSTWORTHY (because they are NOT EXPLAINABLE) and UNRELIABLE (because
> they experience CATASTROPHIC FORGETTING).
>
>
>
> In contrast, biological neural networks that have been developed and
> published in visible archival journals over the past 50+ years have none of
> these problems.
>
>
>
> These models provide *unified and principled explanations *of many
> psychological and neurobiological facts about how our brains make our
> minds.
>
>
>
> They have also been implemented over the last several decades in many
> large-scale *applications* in engineering, technology, and AI.
>
>
>
> Along the way, they provide explanations of HOW, WHERE in our brains, and
> WHY from a deep computational perspective, humans can CONSCIOUSLY SEE,
> HEAR, FEEL, and KNOW about objects and events in a changing world that is
> filled with unexpected events, and use these conscious representations to
> PLAN, PREDICT, and ACT to realize VALUED GOALS.
>
>
>
> From my perspective, a credible theory of consciousness needs to LINK
> brain mechanisms to conscious psychological experiences.
>
>
>
> Without knowing the brain mechanisms, one does not understand HOW
> consciousness arises.
>
>
>
> Without knowing the emergent psychological experiences, one does not
> understand the CONTENTS of conscious awareness.
>
>
>
> Significantly, neural models that do this can be derived from THOUGHT
> EXPERIMENTS whose hypotheses are a few simple facts that we all know from
> our daily experiences.
>
>
>
> My Magnum Opus
>
>
>
> CONSCIOUS MIND: RESONANT BRAIN: HOW EACH BRAIN MAKES A MIND
>
> https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552
> <https://urldefense.com/v3/__https:/www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552__;!!Mih3wA!EadrIVIL2DqjS4bZ3vkctcvdyc9hTpeWv_1r1RTEDkA9GgQG2lYHXCU0LmD7956z0BrgikH8Xe8$>
>
>
>
> provides a self-contained and non-technical overview and synthesis of how
> our brains make our conscious minds, and explains several ways in which
> consciousness may fail.
>
>
>
> In the book, six different kinds of conscious awareness, with different
> functional roles, in different parts of our brains are classified and used
> to explain lots of interdisciplinary data.
>
>
>
> All of them arise from BRAIN RESONANCES:
>
>
>
> *Surface-shroud resonances* enable us to consciously see visual objects
> and scenes.
>
>
>
> *Feature-category resonances* enable us to consciously recognize visual
> objects and scenes.
>
>
>
> *Stream-shroud resonances* enable us to consciously hear auditory objects
> and streams.
>
>
>
> *Spectral-pitch-and-timbre resonances* enable us to consciously recognize
> auditory objects and streams.
>
>
>
> *Item-list resonances* enable us to consciously recognize speech and
> language.
>
>
>
> *Cognitive-emotional resonances* enable us to consciously feel emotions
> and know their sources.
>
>
>
> Best,
>
>
>
> Steve
>
> sites.bu.edu/steveg
> <https://urldefense.com/v3/__http://sites.bu.edu/steveg__;!!Mih3wA!ECkl6YgJGiyeT8S7ckGRdwjdMkTaH6l8kLD7GcVKJL9seMtkfwiee-KBJ6ojPAveG83TljEUdmM$>
>
>
>
>
>
>
>
> *From: *Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> on
> behalf of Stephen Deiss <sdeiss at ucsd.edu>
> *Date: *Monday, June 5, 2023 at 2:17 AM
> *To: *Jeff Krichmar <jkrichma at uci.edu>
> *Cc: *connectionists at cs.cmu.edu <connectionists at cs.cmu.edu>
> *Subject: *Re: Connectionists: Sentient AI Survey Results
>
> Hi Jeff,
>
>
>
> Survey questions do not get much more complicated than this, and the
> social scientists and pollsters would spank us for using open-ended
> terminology like 'consciousness' to get an accurate opinion sample.
>
>
>
> So let's start with a definition of consciousness that goes beyond the
> Nagel "There is something it is like."  It never has been very
> informative.  It was only useful to suppress arguments about what 'IT' is,
> and it helped to get philosophers off their fear of talking about
> consciousness.  From an epistemological standpoint, we have some kind of
> sensation of what we are conscious of even if it is only the itch in our
> head we call a thought.  We interpret these sensations by inference to
> their meaning.  The meaning might be the next thoughts (or subthreshold
> possible thoughts as happens with a feeling of understanding) or a belief
> of what is beyond the sensation such as the chair 'out there' beyond my
> visual or tactile sensations.  The meaning is our interpretation of the
> sensation, a set of inferences beyond it.  Furthermore, this interpretation
> lasts long enough to register in our working memory.  Otherwise, it passes
> by without notice like the scenes along the road while driving and talking.
>
>
>
> So my definition is that consciousness is a *process* of interpreting
> sensations for their meaning and holding that meaning in working memory for
> some minimal time. Key terms are sensation, meaning, and memory.
>
>
>
> Many think consciousness requires self-awareness or reflexiveness.  I
> don't because people sometimes 'lose themselves' enraptured in the
> experienced moment.  Music, lovemaking, extreme sports, psychedelic trips,
> and other things that can induce a fugue state are examples.  But our
> average consciousness is self-aware or has self-knowledge.  We usually know
> we are having an experience when we are having it.
>
>
>
> So for question Q1, a preliminary hurdle might be that the AI system or
> robot have sensations or feelings.  That seems to imply robot-like
> embodiment, and that of a certain kind that can result in qualitative
> feelings to be interpreted (dare I say *qualia*?).  We tend to think of
> AI these days as being software running on a computer.  Neuroscientists
> think of consciousness as wide-spread coupled activity in cortical areas
> (Dennett, Baars, Dehaene, Llinas, Ribary, Singer, Tononi & Koch...).  This
> suggests to some multiple realizability might work if we can just get the
> mechanism right.
>
>
>
> To me, it suggests that our mechanistic worldview with assumed or implied
> governing laws (governing from a platonic realm or from on-high) is
> overlooking the intrinsic nature of the things that participate in events -
> the real stuff.  Nature from the bottom up can be thought of as more
> organic - feeling its way along based on internal constraints.  Call it
> panpsychism, panexperientialism, or ... depending on desired flavor.  But
> the idea is that everything that happens in nature involves sensing, and
> the resulting event or action involved self-reference to the state of the
> system that would react as internally constrained.
>
>
>
> From this perspective, Q1 is a definite yes, but for the AI to be like us,
> it needs to have feelings, not just an algorithm parroting what people say
> when they have feelings.  Without compassion and feelings to guide, a
> software bug could become a deadly monster.
>
>
>
> For Q2: I think we should but it should be done with ethical concerns and
> studied regulation up front.  Right now the cat is out of the bag and out
> of control with every white hat and black hat hacker having near full
> access to the tools to do tremendous good and harm.  This has to be reigned
> in fast.  I was one of those who signed the FLI petition early on.  If for
> no other reason, this has to be done because when full AGI takes off
> capitalism, socialism, etc will have to be rethought as to how to support a
> society where there's not that much labor left for laborers to do.  Who
> will pay the taxes to keep up social security, medicare, public health,
> agriculture, infrastructure maintenance, and so on done by robots with
> AGI.  If 100 million Americans are laid off indefinitely, I think there
> will be a few pissed-off people marching on Washington making the last
> fiasco there look pretty tame.
>
>
>
> For Q3: Not unless it can provably attain a level of consciousness with
> feelings to match humans.  Who decides that?  I do not know.  But I hope it
> is not the most gullible among us who mistake stochastic parroting for the
> real thing.  We are all easily fooled into projecting.  I eat things every
> day as a vegetarian panpsychist that I think have or had some level of
> awareness.  I have no problem turning off a computer or hitting reset no
> matter what algorithm is running on it.  But if the AI can convince me that
> it will feel the pain of death, and it has a track record of doing good
> things for all life, I would have to think twice even if it looked like a
> machine.  According to the biochemists, I'm a machine - just a special type
> with feelings.  If someone claims these feelings are illusions, ask them
> how they treat their friends or kids.
>
>
>
> Thanks for the chance to weigh in.
>
> Steve Deiss
>
> UCSD I.N.C. (retired, but not done)
>
>
>
>
>
> On Wed, May 31, 2023 at 4:13?AM Jeffrey L Krichmar <jkrichma at uci.edu>
> wrote:
>
> Dear Connectionists,
>
> I am teaching an undergraduate course on ?AI in Culture and Media?. Most
> students are in our Cognitive Sciences and Psychology programs. Last week
> we had a discussion and debate on AI, Consciousness, and Machine Ethics.
> After the debate, around 70 students filled out a survey responding to
> these questions.
>
> Q1: Do you think it is possible to build conscious or sentient AI?     65%
> answered yes.
> Q2: Do you think we should build conscious or sentient AI?            22%
> answered yes
> Q3: Do you think AI should have rights?
>       54% answered yes
>
> I thought many of you would find this interesting.  And my students would
> like to hear your views on the topic.
>
> Best regards,
>
> Jeff Krichmar
> Department of Cognitive Sciences
> 2328 Social & Behavioral Sciences Gateway
> University of California, Irvine
> Irvine, CA 92697-5100
> jkrichma at uci.edu
> http://www.socsci.uci.edu/~jkrichma
> <https://urldefense.com/v3/__http:/www.socsci.uci.edu/*jkrichma__;fg!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZaZ83AkV$>
>
> https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/
> <https://urldefense.com/v3/__https:/www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/__;!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZT4hUUls$>
>
>
>
>
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From sdeiss at ucsd.edu  Wed Jun  7 12:17:07 2023
From: sdeiss at ucsd.edu (Stephen Deiss)
Date: Wed, 7 Jun 2023 09:17:07 -0700
Subject: Connectionists: Sentient AI Survey Results
In-Reply-To: <PH0PR03MB642934EF1D88F8B17F8FCE31C653A@PH0PR03MB6429.namprd03.prod.outlook.com>
References: <CAEqw-uJ_sWKsowim+7PNQmx9EekDHkwVuYiKcU2ELzwPDbucDg@mail.gmail.com>
 <PH0PR03MB642934EF1D88F8B17F8FCE31C653A@PH0PR03MB6429.namprd03.prod.outlook.com>
Message-ID: <CAEqw-uJ5M3ZXt3q9py3NzhSF_a9wvoPvG+Dpa2EHA5q46aGwVQ@mail.gmail.com>

Hi Steve,

Thanks for adding these comments.  My bad for not including you on that
list of consciousness researchers.  I admit to having your book on my shelf
but I have not started on it yet.  I'm somewhat familiar with ART and its
historical development, and resonance fits right in with my summary term of
'coupled areas.'  (Actually, I started down my own quest reading many of
your papers about ART in the early 80's after we had lunch at NTSU in
Denton, TX where you spoke and gave what the conference host called your
'big mountain' view as you may recall.). Resonance or global coherent
oscillations in brains, ignoring finer distinctions, has always seemed a
non-brainer to me since reading Hebb (OoB).  Your work developed Hebb's
intuitions into a quantitative and experimentally supported coherent
theory.  Thank you for sharing the synopsis for all here.

I think a question remains after all the details get worked out in how
consciousness arises in brains, why should it only happen at that level of
natural resonant oscillation?  Resonance or what underlies it may go very
deep.  If socially-informed self-awareness is dropped as an assumed
requirement, and if 'sensation' is treated as more than a metaphor for what
happens in more elementary systems participating in events, then there is
an opening for a paradigm shift in how we think about conscious systems.
This has no small bearing on how an artifact could be conscious too.  I
will have more to present about this bottom-up thinking about consciousness
soon in a planned publication.

Best,
Steve



On Wed, Jun 7, 2023 at 8:24?AM Grossberg, Stephen <steve at bu.edu> wrote:

> Dear Steve,
>
>
>
> There is a tendency to conflate AI with a particular neural network, Deep
> Learning.
>
>
>
> Deep Learning, and related models, are biologically impossible and omit
> key processes that make humans intelligent, in addition to being
> UNTRUSTWORTHY (because they are NOT EXPLAINABLE) and UNRELIABLE (because
> they experience CATASTROPHIC FORGETTING).
>
>
>
> In contrast, biological neural networks that have been developed and
> published in visible archival journals over the past 50+ years have none of
> these problems.
>
>
>
> These models provide *unified and principled explanations *of many
> psychological and neurobiological facts about how our brains make our
> minds.
>
>
>
> They have also been implemented over the last several decades in many
> large-scale *applications* in engineering, technology, and AI.
>
>
>
> Along the way, they provide explanations of HOW, WHERE in our brains, and
> WHY from a deep computational perspective, humans can CONSCIOUSLY SEE,
> HEAR, FEEL, and KNOW about objects and events in a changing world that is
> filled with unexpected events, and use these conscious representations to
> PLAN, PREDICT, and ACT to realize VALUED GOALS.
>
>
>
> From my perspective, a credible theory of consciousness needs to LINK
> brain mechanisms to conscious psychological experiences.
>
>
>
> Without knowing the brain mechanisms, one does not understand HOW
> consciousness arises.
>
>
>
> Without knowing the emergent psychological experiences, one does not
> understand the CONTENTS of conscious awareness.
>
>
>
> Significantly, neural models that do this can be derived from THOUGHT
> EXPERIMENTS whose hypotheses are a few simple facts that we all know from
> our daily experiences.
>
>
>
> My Magnum Opus
>
>
>
> CONSCIOUS MIND: RESONANT BRAIN: HOW EACH BRAIN MAKES A MIND
>
> https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552
> <https://urldefense.com/v3/__https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552__;!!Mih3wA!EadrIVIL2DqjS4bZ3vkctcvdyc9hTpeWv_1r1RTEDkA9GgQG2lYHXCU0LmD7956z0BrgikH8Xe8$>
>
>
>
> provides a self-contained and non-technical overview and synthesis of how
> our brains make our conscious minds, and explains several ways in which
> consciousness may fail.
>
>
>
> In the book, six different kinds of conscious awareness, with different
> functional roles, in different parts of our brains are classified and used
> to explain lots of interdisciplinary data.
>
>
>
> All of them arise from BRAIN RESONANCES:
>
>
>
> *Surface-shroud resonances* enable us to consciously see visual objects
> and scenes.
>
>
>
> *Feature-category resonances* enable us to consciously recognize visual
> objects and scenes.
>
>
>
> *Stream-shroud resonances* enable us to consciously hear auditory objects
> and streams.
>
>
>
> *Spectral-pitch-and-timbre resonances* enable us to consciously recognize
> auditory objects and streams.
>
>
>
> *Item-list resonances* enable us to consciously recognize speech and
> language.
>
>
>
> *Cognitive-emotional resonances* enable us to consciously feel emotions
> and know their sources.
>
>
>
> Best,
>
>
>
> Steve
>
> sites.bu.edu/steveg
>
>
>
>
>
>
>
> *From: *Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> on
> behalf of Stephen Deiss <sdeiss at ucsd.edu>
> *Date: *Monday, June 5, 2023 at 2:17 AM
> *To: *Jeff Krichmar <jkrichma at uci.edu>
> *Cc: *connectionists at cs.cmu.edu <connectionists at cs.cmu.edu>
> *Subject: *Re: Connectionists: Sentient AI Survey Results
>
> Hi Jeff,
>
>
>
> Survey questions do not get much more complicated than this, and the
> social scientists and pollsters would spank us for using open-ended
> terminology like 'consciousness' to get an accurate opinion sample.
>
>
>
> So let's start with a definition of consciousness that goes beyond the
> Nagel "There is something it is like."  It never has been very
> informative.  It was only useful to suppress arguments about what 'IT' is,
> and it helped to get philosophers off their fear of talking about
> consciousness.  From an epistemological standpoint, we have some kind of
> sensation of what we are conscious of even if it is only the itch in our
> head we call a thought.  We interpret these sensations by inference to
> their meaning.  The meaning might be the next thoughts (or subthreshold
> possible thoughts as happens with a feeling of understanding) or a belief
> of what is beyond the sensation such as the chair 'out there' beyond my
> visual or tactile sensations.  The meaning is our interpretation of the
> sensation, a set of inferences beyond it.  Furthermore, this interpretation
> lasts long enough to register in our working memory.  Otherwise, it passes
> by without notice like the scenes along the road while driving and talking.
>
>
>
> So my definition is that consciousness is a *process* of interpreting
> sensations for their meaning and holding that meaning in working memory for
> some minimal time. Key terms are sensation, meaning, and memory.
>
>
>
> Many think consciousness requires self-awareness or reflexiveness.  I
> don't because people sometimes 'lose themselves' enraptured in the
> experienced moment.  Music, lovemaking, extreme sports, psychedelic trips,
> and other things that can induce a fugue state are examples.  But our
> average consciousness is self-aware or has self-knowledge.  We usually know
> we are having an experience when we are having it.
>
>
>
> So for question Q1, a preliminary hurdle might be that the AI system or
> robot have sensations or feelings.  That seems to imply robot-like
> embodiment, and that of a certain kind that can result in qualitative
> feelings to be interpreted (dare I say *qualia*?).  We tend to think of
> AI these days as being software running on a computer.  Neuroscientists
> think of consciousness as wide-spread coupled activity in cortical areas
> (Dennett, Baars, Dehaene, Llinas, Ribary, Singer, Tononi & Koch...).  This
> suggests to some multiple realizability might work if we can just get the
> mechanism right.
>
>
>
> To me, it suggests that our mechanistic worldview with assumed or implied
> governing laws (governing from a platonic realm or from on-high) is
> overlooking the intrinsic nature of the things that participate in events -
> the real stuff.  Nature from the bottom up can be thought of as more
> organic - feeling its way along based on internal constraints.  Call it
> panpsychism, panexperientialism, or ... depending on desired flavor.  But
> the idea is that everything that happens in nature involves sensing, and
> the resulting event or action involved self-reference to the state of the
> system that would react as internally constrained.
>
>
>
> From this perspective, Q1 is a definite yes, but for the AI to be like us,
> it needs to have feelings, not just an algorithm parroting what people say
> when they have feelings.  Without compassion and feelings to guide, a
> software bug could become a deadly monster.
>
>
>
> For Q2: I think we should but it should be done with ethical concerns and
> studied regulation up front.  Right now the cat is out of the bag and out
> of control with every white hat and black hat hacker having near full
> access to the tools to do tremendous good and harm.  This has to be reigned
> in fast.  I was one of those who signed the FLI petition early on.  If for
> no other reason, this has to be done because when full AGI takes off
> capitalism, socialism, etc will have to be rethought as to how to support a
> society where there's not that much labor left for laborers to do.  Who
> will pay the taxes to keep up social security, medicare, public health,
> agriculture, infrastructure maintenance, and so on done by robots with
> AGI.  If 100 million Americans are laid off indefinitely, I think there
> will be a few pissed-off people marching on Washington making the last
> fiasco there look pretty tame.
>
>
>
> For Q3: Not unless it can provably attain a level of consciousness with
> feelings to match humans.  Who decides that?  I do not know.  But I hope it
> is not the most gullible among us who mistake stochastic parroting for the
> real thing.  We are all easily fooled into projecting.  I eat things every
> day as a vegetarian panpsychist that I think have or had some level of
> awareness.  I have no problem turning off a computer or hitting reset no
> matter what algorithm is running on it.  But if the AI can convince me that
> it will feel the pain of death, and it has a track record of doing good
> things for all life, I would have to think twice even if it looked like a
> machine.  According to the biochemists, I'm a machine - just a special type
> with feelings.  If someone claims these feelings are illusions, ask them
> how they treat their friends or kids.
>
>
>
> Thanks for the chance to weigh in.
>
> Steve Deiss
>
> UCSD I.N.C. (retired, but not done)
>
>
>
>
>
> On Wed, May 31, 2023 at 4:13?AM Jeffrey L Krichmar <jkrichma at uci.edu>
> wrote:
>
> Dear Connectionists,
>
> I am teaching an undergraduate course on ?AI in Culture and Media?. Most
> students are in our Cognitive Sciences and Psychology programs. Last week
> we had a discussion and debate on AI, Consciousness, and Machine Ethics.
> After the debate, around 70 students filled out a survey responding to
> these questions.
>
> Q1: Do you think it is possible to build conscious or sentient AI?     65%
> answered yes.
> Q2: Do you think we should build conscious or sentient AI?            22%
> answered yes
> Q3: Do you think AI should have rights?
>       54% answered yes
>
> I thought many of you would find this interesting.  And my students would
> like to hear your views on the topic.
>
> Best regards,
>
> Jeff Krichmar
> Department of Cognitive Sciences
> 2328 Social & Behavioral Sciences Gateway
> University of California, Irvine
> Irvine, CA 92697-5100
> jkrichma at uci.edu
> http://www.socsci.uci.edu/~jkrichma
> <https://urldefense.com/v3/__http:/www.socsci.uci.edu/*jkrichma__;fg!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZaZ83AkV$>
>
> https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/
> <https://urldefense.com/v3/__https:/www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/__;!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZT4hUUls$>
>
>
>
>
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From almayalanis at gmail.com  Wed Jun  7 17:12:11 2023
From: almayalanis at gmail.com (Alma Y. Alanis)
Date: Wed, 7 Jun 2023 15:12:11 -0600
Subject: Connectionists: CFP: ENGINEERING IN MEDICINE AND BIOLOGY CONFERENCE
	(IEEE EMBS R9 2023)
Message-ID: <CALQM6idg=ST=oFRc2y=8+6BxHiSMMoFZ_vMQs7sp2m32aOVNEQ@mail.gmail.com>

----------------------------------------------------------------------------------------

Please distribute

(Apologies for cross posting)

----------------------------------------------------------------------------------------

----------------------------------------------------------------------------------------



CALL FOR PAPERS



FIRST IEEE ENGINEERING IN MEDICINE AND BIOLOGY CONFERENCE IN LATIN AMERICA
2023



We invite researchers, professionals, academics, and companies to
participate in the 1 IEEE EMBS R9 Conference.



The 1st IEEE EMBS R9 Conference invites researchers, professionals,
academics, and companies to participate in an event focused on shaping the
future of biomedicine and improving lives in Latin America and beyond.



>From October 5th, Thursday to October 7th, Saturday, 2023 in Guadalajara,
Mexico



Website link:

https://www.embc-r9.org/



TRACKS

?       AI in Biomedicine

?       Biosignal Processing

?       Biomedical Innovation

?       Clinical Engineering

?       Biomechanics, Biomaterials, and Rehabilitation

?       Bioimaging Processing and Medical Imaging

?       Education, Ethics, and Professional Issues

?       Omics, Systems Biology and Bioengineering



Contact:

Ph.D. Alejandro Morales

embcr9 at gmail.com
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From gary.marcus at nyu.edu  Thu Jun  8 09:35:27 2023
From: gary.marcus at nyu.edu (Gary Marcus)
Date: Thu, 8 Jun 2023 06:35:27 -0700
Subject: Connectionists: Sentient AI Survey Results
In-Reply-To: <PH0PR03MB642934EF1D88F8B17F8FCE31C653A@PH0PR03MB6429.namprd03.prod.outlook.com>
References: <PH0PR03MB642934EF1D88F8B17F8FCE31C653A@PH0PR03MB6429.namprd03.prod.outlook.com>
Message-ID: <B2D29C5C-E0D1-4551-964A-CA091ECD506A@nyu.edu>

I would add to the below that there are multiple reasons why current models are neither trustworthy nor reliable (e.g., also because they lack world models and adequate robust processes for reasoning) but Stephen has really hit the nail on the head here. AI doesn?t need to *replicate* the human mind, but current systems very much do ?omit key processes that make humans intelligent?, and the fact that they are untrustworthy and unreliable follows directly from there.

We must consider alternative approaches if we are to rectify the untrustworthiness and unreliability.

> On Jun 8, 2023, at 00:27, Grossberg, Stephen <steve at bu.edu> wrote:
> 
> Deep Learning, and related models, are biologically impossible and omit key processes that make humans intelligent, in addition to being UNTRUSTWORTHY (because they are NOT EXPLAINABLE) and UNRELIABLE (because they experience CATASTROPHIC FORGETTING).


From T.Nowotny at sussex.ac.uk  Thu Jun  8 14:02:11 2023
From: T.Nowotny at sussex.ac.uk (Thomas Nowotny)
Date: Thu, 8 Jun 2023 18:02:11 +0000
Subject: Connectionists: Three studentships in biomimetic embodied AI
In-Reply-To: <LO2P302MB004466592C2D0E0AFB5095FFDD50A@LO2P302MB0044.GBRP302.PROD.OUTLOOK.COM>
References: <LO2P302MB004466592C2D0E0AFB5095FFDD50A@LO2P302MB0044.GBRP302.PROD.OUTLOOK.COM>
Message-ID: <LO2P302MB004465968FDCCAFAEE5962F2DD50A@LO2P302MB0044.GBRP302.PROD.OUTLOOK.COM>

Dear Connectionists,
we are offering 3 PhD studentships in our unique be.AI doctoral training centre in biomimetic embodied AI (http://www.sussex.ac.uk/ccnr/be_ai) at the University of Sussex in Brighton.

Apply online: https://www.sussex.ac.uk/study/phd/apply

Full details at https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1403-Leverhulme-Doctoral-Scholarship-Programme:-be.AI---biomimetic-embodied-Artificial-Intelligence.

Review and interviews will commence on 19 June and continue until positions are filled.

Kind regards,

Thomas

--
Prof. Thomas Nowotny
Head of AI Research Group
CCNR, Sussex Neuroscience             Phone: +44-1273-678593
Engineering and Informatics,                Fax: +44-1273-877873
University of Sussex,
Falmer, Brighton BN1 9QJ      sussex.ac.uk/informatics/tnowotny<http://sussex.ac.uk/informatics/tnowotny>

I support the University of Sussex Community Pledge, as I continue to help those around me during the pandemic.  Small acts of collaboration, kindness and integrity can make a big difference.  www.sussex.ac.uk/community-pledge<http://www.sussex.ac.uk/community-pledge>
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From ajaz.bhat at outlook.com  Thu Jun  8 22:28:56 2023
From: ajaz.bhat at outlook.com (Ajaz Bhat)
Date: Fri, 9 Jun 2023 02:28:56 +0000
Subject: Connectionists: Open call for postdoctoral applications in areas of
 Artificial Intelligence, Machine Learning and Cognitive Robotics
In-Reply-To: <SYBP282MB425089282076C52371481CEFFD51A@SYBP282MB4250.AUSP282.PROD.OUTLOOK.COM>
References: <SYBP282MB425089282076C52371481CEFFD51A@SYBP282MB4250.AUSP282.PROD.OUTLOOK.COM>
Message-ID: <SYBP282MB4250930406284879F954D335FD51A@SYBP282MB4250.AUSP282.PROD.OUTLOOK.COM>

Apologies for cross-posting!

Dear Connectionists


We at the Universiti Brunei Darussalam (UBD) are inviting applications for postdoctoral positions in various areas including Artificial Intelligence, Machine Learning, Cognition and Cognitive Robotics.



As a postdoctoral fellow, you may work on a research theme of your own or join one of my existing research projects. You will also be able to apply for joint grant proposals within UBD.



If you are interested in areas of Artificial Intelligence, Machine Learning, Cognition and Cognitive Robotics, please email me your interests and CV at ajaz.bhat [AT] ubd.edu.bn. For more details on the postdoctoral scheme and benefits, please visit https://research.ubd.edu.bn/?page_id=3797





Ajaz A. Bhat,  PhD

Programme Leader for AI and Robotics, Applied AI and Data Science

School of Digital Science (SDS), Universiti Brunei Darussalam (UBD)

Web: https://expert.ubd.edu.bn/ajaz.bhat



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From steve at bu.edu  Thu Jun  8 10:51:48 2023
From: steve at bu.edu (Grossberg, Stephen)
Date: Thu, 8 Jun 2023 14:51:48 +0000
Subject: Connectionists: Sentient AI Survey Results: From crayfish
 swimmerets to human cognition: An evolutionary analysis
In-Reply-To: <CAEqw-uKVpOxcaS3mzo_jyQ2uWtT7nvuS+3ed1RnWidZ6CmWykA@mail.gmail.com>
References: <CAEqw-uJ_sWKsowim+7PNQmx9EekDHkwVuYiKcU2ELzwPDbucDg@mail.gmail.com>
 <PH0PR03MB642934EF1D88F8B17F8FCE31C653A@PH0PR03MB6429.namprd03.prod.outlook.com>
 <CAEqw-uJ5M3ZXt3q9py3NzhSF_a9wvoPvG+Dpa2EHA5q46aGwVQ@mail.gmail.com>
 <PH0PR03MB6429CFE6739434B3B690E754C653A@PH0PR03MB6429.namprd03.prod.outlook.com>
 <CAEqw-uKVpOxcaS3mzo_jyQ2uWtT7nvuS+3ed1RnWidZ6CmWykA@mail.gmail.com>
Message-ID: <MW4PR03MB6427C1F670CEE088CC9343DCC650A@MW4PR03MB6427.namprd03.prod.outlook.com>

Dear Steve.

Thanks very much for asking the following very interesting question:

?The claim is that ART and CogEM together provide a backdoor explanation of consciousness in any system.  But is it assumed that the system has to be capable of emotion, learning, and memory?... how far down do you think such systems go in nature??
All my work takes an evolutionary perspective to try to answer just that question. Of course, we cannot redo evolution. But models can try to recapitulate a kind of ?conceptual evolution?.

My Magnum Opus

https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552

is structured to do just that.

For example, on p. 495 of Chapter 13, I ask:

?What is the simplest network that can learn to perform an arbitrarily complicated sequence of actions, such as a piano sonata, dance, or other skilled sequence of actions. What is the minimum number of cells needed to do this?
The answer is: ONE!?

I call this kind of circuit an avalanche.

This answer immediately clarifies how many species can do complicated things with small nervous systems.

It also raises the question: Why do our brains need so many cells?

The main problems with a one-cell avalanche are that its performance is entirely ritualistic and insensitive to environmental feedback.

I then show how, by incrementally adding mechanisms that provide different kinds of behavioral flexibility and sensitivity to environmental feedback, increasingly powerful mechanisms of learning, cognition, emotion, and action come into view.

Along the way, identifiable circuits of organisms, as varied as crayfish swimmerets and songbird pattern generators, are mechanistically explained.

This is all summarized in Chapter 13 of my book. You might particularly want to look at Figure 13.22 for evolutionary precursors of cognition and emotion.

This evolutionary analysis leads to some sophisticated explanations and predictions, including the role of dendritic back-propagating action potentials and Calcium currents in the regulation of associative learning and stable memory on dendritic spines (see Figure 13.38).

For example, on p. 511, I wrote:

?Consistent with this explanation, Guang Yang, Feng Pan, and Wen- Biao Gan have shown in their 2009 article in Nature that dendritic spines can maintain memories for an entire lifetime in their experimental rats (Yang, Pan, and Gan, 2009). Such stable memories also help a CogEM model with a READ opponent process to explain, in addition to basic phenomena like primary and secondary excitatory and inhibitory conditioning, the persistence of instrumental avoidance behaviors and why Pavlovian conditioned inhibitors do not extinguish, among other conditioning data (Grossberg, 1972a; Grossberg and Schmajuk, 1987; Kamin, Brimer, and Black, 1963; Lysle and Fowler, 1985; Maier, Seligman, and Solomon, 1969; Miller and Schachtman, 1985; Owren and Kaplan, 1981; Solomon, Kamin, and Wynne, 1953; Witcher, 1978; Zimmer- Hart and Rescorla, 1974). It is instructive to summarize how the model explains why Pavlovian conditioned excitators do extinguish, but conditioned inhibitors do not. Before doing so, let me also point out that the dissociation of LTM read- out and read- in also helps to explain a phenomenon that has been the subject of intense experimental study during the past 20 years; namely, how reconsolidation of memories occurs when old LTM is read out, and how that may provide a powerful tool for combatting mental disorders like post-traumatic stress disorder, or PTSD.?

Best again,

Steve




From: Stephen Deiss <sdeiss at ucsd.edu>
Date: Thursday, June 8, 2023 at 1:03 AM
To: Grossberg, Stephen <steve at bu.edu>
Cc: Jeff Krichmar <jkrichma at uci.edu>, connectionists at cs.cmu.edu <connectionists at cs.cmu.edu>
Subject: Re: Connectionists: Sentient AI Survey Results: How analysis of learning without catastrophic forgetting led to neural models of conscious brain states
Steve,

This is very interesting.  Let me read your tome and get back with some better informed questions if you have time for a few.  One I have upfront follows.

The claim is that ART and CogEM together provide a backdoor explanation of consciousness in any system.  But is it assumed that the system has to be capable of emotion, learning, and memory?  Those are 4 loaded terms.  So how far down do you think such systems go in nature?

Sincerely,
Steve D.

On Wed, Jun 7, 2023 at 3:08?PM Grossberg, Stephen <steve at bu.edu<mailto:steve at bu.edu>> wrote:
Dear Steve,

Thanks for your prompt and thoughtful reply!

I will respond mostly to your question:

?I think a question remains after all the details get worked out in how consciousness arises in brains, why should it only happen at that level of natural resonant oscillation??

I should at the outset note that my first discoveries about CONSCIOUSNESS emerged from my work on how humans LEARN quickly without being forced to forget just as quickly.

Otherwise, expressed:

How do we learn quickly without experiencing catastrophic forgetting?

I called this problem the stability-plasticity dilemma.

Starting in 1976, I started to solve this problem when I introduced Adaptive Resonance Theory, or ART.

After incremental principled development to the present time, ART is now the most advanced cognitive and neural theory of how our brains learn to attend, recognize, and predict objects and events in a changing world that is filled with unexpected events.

This claim is supported in several ways:

All the foundational hypotheses of ART have been supported by subsequent psychological and neurobiological experiments.

ART has also provided principled and unifying explanations of scores of additional experiments.

Last but not least, by 1980, I published in an oft-cited article in Psychological Review, a THOUGHT EXPERIMENT which shows that ART systems are the UNIQUE solutions of the problem of how ANY system can AUTONOMOUSLY LEARN to CORRECT PREDICTIVE ERRORS in a changing world that is filled with unexpected events.

The CogEM (Cognitive-Emotional-Motor) model was also derived from a THOUGHT EXPERIMENT and explains lots of interdisciplinary data about how cognition and emotion interact to achieve valued goals.

The hypotheses used to derive these models are familiar facts that we all know from our daily experiences. Thus, if you cannot find a logical flaw in the thought experiments, they logically follow from undeniable facts. No one has, to the best of my knowledge, yet reported such a logical flaw.

Morevoer, these facts never mention mind or brain.

Thus ART and CogEM are UNIVERSAL solutions of these learning and prediction problems.

Moreover, both classes of models solve their problems using different kinds of ADAPTIVE RESONANCES.

Explanations of many other kinds of data fell out of the wash:

For example, these models explain how specific breakdowns in brain mechanisms cause behavioral symptoms of MENTAL DISORDERS, including Alzheimer's disease, autism, amnesia, schizophrenia, and ADHD.

I only realized later that ART and CogEM together also explain HOW, WHERE in our brains, and WHY our brains support CONSCIOUS STATES OF SEEING, HEARING, FEELING, and KNOWING, and use these conscious states to PLAN and ACT to realize valued goals.

This latter realization arose after I used ART to provide unified and principled explanations of how interacting brain mechanisms gave rise to parametric properties of psychological behaviors.

I gradually realized that the psychological behaviors being explained were conscious. I had, through the back door as it were, discovered how adaptive resonances generate conscious behaviors.

The classification of six resonances that I listed in my earlier email gradually arose from similar principled explanations of different kinds of psychological experiences.

As I earlier mentioned, I explain all this in a self-contained and non-technical way in my Magnum Opus:

https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552<https://urldefense.com/v3/__https:/www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552__;!!Mih3wA!ECkl6YgJGiyeT8S7ckGRdwjdMkTaH6l8kLD7GcVKJL9seMtkfwiee-KBJ6ojPAveG83T8niE_9Y$>

Best again,

Steve

From: Stephen Deiss <sdeiss at ucsd.edu<mailto:sdeiss at ucsd.edu>>
Date: Wednesday, June 7, 2023 at 12:17 PM
To: Grossberg, Stephen <steve at bu.edu<mailto:steve at bu.edu>>
Cc: Jeff Krichmar <jkrichma at uci.edu<mailto:jkrichma at uci.edu>>, connectionists at cs.cmu.edu<mailto:connectionists at cs.cmu.edu> <connectionists at cs.cmu.edu<mailto:connectionists at cs.cmu.edu>>
Subject: Re: Connectionists: Sentient AI Survey Results
Hi Steve,

Thanks for adding these comments.  My bad for not including you on that list of consciousness researchers.  I admit to having your book on my shelf but I have not started on it yet.  I'm somewhat familiar with ART and its historical development, and resonance fits right in with my summary term of 'coupled areas.'  (Actually, I started down my own quest reading many of your papers about ART in the early 80's after we had lunch at NTSU in Denton, TX where you spoke and gave what the conference host called your 'big mountain' view as you may recall.). Resonance or global coherent oscillations in brains, ignoring finer distinctions, has always seemed a non-brainer to me since reading Hebb (OoB).  Your work developed Hebb's intuitions into a quantitative and experimentally supported coherent theory.  Thank you for sharing the synopsis for all here.

I think a question remains after all the details get worked out in how consciousness arises in brains, why should it only happen at that level of natural resonant oscillation?  Resonance or what underlies it may go very deep.  If socially-informed self-awareness is dropped as an assumed requirement, and if 'sensation' is treated as more than a metaphor for what happens in more elementary systems participating in events, then there is an opening for a paradigm shift in how we think about conscious systems.  This has no small bearing on how an artifact could be conscious too.  I will have more to present about this bottom-up thinking about consciousness soon in a planned publication.

Best,
Steve



On Wed, Jun 7, 2023 at 8:24?AM Grossberg, Stephen <steve at bu.edu<mailto:steve at bu.edu>> wrote:
Dear Steve,

There is a tendency to conflate AI with a particular neural network, Deep Learning.

Deep Learning, and related models, are biologically impossible and omit key processes that make humans intelligent, in addition to being UNTRUSTWORTHY (because they are NOT EXPLAINABLE) and UNRELIABLE (because they experience CATASTROPHIC FORGETTING).

In contrast, biological neural networks that have been developed and published in visible archival journals over the past 50+ years have none of these problems.

These models provide unified and principled explanations of many psychological and neurobiological facts about how our brains make our minds.

They have also been implemented over the last several decades in many large-scale applications in engineering, technology, and AI.

Along the way, they provide explanations of HOW, WHERE in our brains, and WHY from a deep computational perspective, humans can CONSCIOUSLY SEE, HEAR, FEEL, and KNOW about objects and events in a changing world that is filled with unexpected events, and use these conscious representations to PLAN, PREDICT, and ACT to realize VALUED GOALS.

From my perspective, a credible theory of consciousness needs to LINK brain mechanisms to conscious psychological experiences.

Without knowing the brain mechanisms, one does not understand HOW consciousness arises.

Without knowing the emergent psychological experiences, one does not understand the CONTENTS of conscious awareness.

Significantly, neural models that do this can be derived from THOUGHT EXPERIMENTS whose hypotheses are a few simple facts that we all know from our daily experiences.

My Magnum Opus

CONSCIOUS MIND: RESONANT BRAIN: HOW EACH BRAIN MAKES A MIND
https://www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552<https://urldefense.com/v3/__https:/www.amazon.com/Conscious-Mind-Resonant-Brain-Makes/dp/0190070552__;!!Mih3wA!EadrIVIL2DqjS4bZ3vkctcvdyc9hTpeWv_1r1RTEDkA9GgQG2lYHXCU0LmD7956z0BrgikH8Xe8$>

provides a self-contained and non-technical overview and synthesis of how our brains make our conscious minds, and explains several ways in which consciousness may fail.

In the book, six different kinds of conscious awareness, with different functional roles, in different parts of our brains are classified and used to explain lots of interdisciplinary data.

All of them arise from BRAIN RESONANCES:

Surface-shroud resonances enable us to consciously see visual objects and scenes.

Feature-category resonances enable us to consciously recognize visual objects and scenes.

Stream-shroud resonances enable us to consciously hear auditory objects and streams.

Spectral-pitch-and-timbre resonances enable us to consciously recognize auditory objects and streams.

Item-list resonances enable us to consciously recognize speech and language.

Cognitive-emotional resonances enable us to consciously feel emotions and know their sources.

Best,

Steve
sites.bu.edu/steveg<https://urldefense.com/v3/__http:/sites.bu.edu/steveg__;!!Mih3wA!ECkl6YgJGiyeT8S7ckGRdwjdMkTaH6l8kLD7GcVKJL9seMtkfwiee-KBJ6ojPAveG83TljEUdmM$>



From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu<mailto:connectionists-bounces at mailman.srv.cs.cmu.edu>> on behalf of Stephen Deiss <sdeiss at ucsd.edu<mailto:sdeiss at ucsd.edu>>
Date: Monday, June 5, 2023 at 2:17 AM
To: Jeff Krichmar <jkrichma at uci.edu<mailto:jkrichma at uci.edu>>
Cc: connectionists at cs.cmu.edu<mailto:connectionists at cs.cmu.edu> <connectionists at cs.cmu.edu<mailto:connectionists at cs.cmu.edu>>
Subject: Re: Connectionists: Sentient AI Survey Results
Hi Jeff,

Survey questions do not get much more complicated than this, and the social scientists and pollsters would spank us for using open-ended terminology like 'consciousness' to get an accurate opinion sample.

So let's start with a definition of consciousness that goes beyond the Nagel "There is something it is like."  It never has been very informative.  It was only useful to suppress arguments about what 'IT' is, and it helped to get philosophers off their fear of talking about consciousness.  From an epistemological standpoint, we have some kind of sensation of what we are conscious of even if it is only the itch in our head we call a thought.  We interpret these sensations by inference to their meaning.  The meaning might be the next thoughts (or subthreshold possible thoughts as happens with a feeling of understanding) or a belief of what is beyond the sensation such as the chair 'out there' beyond my visual or tactile sensations.  The meaning is our interpretation of the sensation, a set of inferences beyond it.  Furthermore, this interpretation lasts long enough to register in our working memory.  Otherwise, it passes by without notice like the scenes along the road while driving and talking.

So my definition is that consciousness is a process of interpreting sensations for their meaning and holding that meaning in working memory for some minimal time. Key terms are sensation, meaning, and memory.

Many think consciousness requires self-awareness or reflexiveness.  I don't because people sometimes 'lose themselves' enraptured in the experienced moment.  Music, lovemaking, extreme sports, psychedelic trips, and other things that can induce a fugue state are examples.  But our average consciousness is self-aware or has self-knowledge.  We usually know we are having an experience when we are having it.

So for question Q1, a preliminary hurdle might be that the AI system or robot have sensations or feelings.  That seems to imply robot-like embodiment, and that of a certain kind that can result in qualitative feelings to be interpreted (dare I say qualia?).  We tend to think of AI these days as being software running on a computer.  Neuroscientists think of consciousness as wide-spread coupled activity in cortical areas (Dennett, Baars, Dehaene, Llinas, Ribary, Singer, Tononi & Koch...).  This suggests to some multiple realizability might work if we can just get the mechanism right.

To me, it suggests that our mechanistic worldview with assumed or implied governing laws (governing from a platonic realm or from on-high) is overlooking the intrinsic nature of the things that participate in events - the real stuff.  Nature from the bottom up can be thought of as more organic - feeling its way along based on internal constraints.  Call it panpsychism, panexperientialism, or ... depending on desired flavor.  But the idea is that everything that happens in nature involves sensing, and the resulting event or action involved self-reference to the state of the system that would react as internally constrained.

From this perspective, Q1 is a definite yes, but for the AI to be like us, it needs to have feelings, not just an algorithm parroting what people say when they have feelings.  Without compassion and feelings to guide, a software bug could become a deadly monster.

For Q2: I think we should but it should be done with ethical concerns and studied regulation up front.  Right now the cat is out of the bag and out of control with every white hat and black hat hacker having near full access to the tools to do tremendous good and harm.  This has to be reigned in fast.  I was one of those who signed the FLI petition early on.  If for no other reason, this has to be done because when full AGI takes off capitalism, socialism, etc will have to be rethought as to how to support a society where there's not that much labor left for laborers to do.  Who will pay the taxes to keep up social security, medicare, public health, agriculture, infrastructure maintenance, and so on done by robots with AGI.  If 100 million Americans are laid off indefinitely, I think there will be a few pissed-off people marching on Washington making the last fiasco there look pretty tame.

For Q3: Not unless it can provably attain a level of consciousness with feelings to match humans.  Who decides that?  I do not know.  But I hope it is not the most gullible among us who mistake stochastic parroting for the real thing.  We are all easily fooled into projecting.  I eat things every day as a vegetarian panpsychist that I think have or had some level of awareness.  I have no problem turning off a computer or hitting reset no matter what algorithm is running on it.  But if the AI can convince me that it will feel the pain of death, and it has a track record of doing good things for all life, I would have to think twice even if it looked like a machine.  According to the biochemists, I'm a machine - just a special type with feelings.  If someone claims these feelings are illusions, ask them how they treat their friends or kids.

Thanks for the chance to weigh in.
Steve Deiss
UCSD I.N.C. (retired, but not done)


On Wed, May 31, 2023 at 4:13?AM Jeffrey L Krichmar <jkrichma at uci.edu<mailto:jkrichma at uci.edu>> wrote:
Dear Connectionists,

I am teaching an undergraduate course on ?AI in Culture and Media?. Most students are in our Cognitive Sciences and Psychology programs. Last week we had a discussion and debate on AI, Consciousness, and Machine Ethics.  After the debate, around 70 students filled out a survey responding to these questions.

Q1: Do you think it is possible to build conscious or sentient AI?     65% answered yes.
Q2: Do you think we should build conscious or sentient AI?            22% answered yes
Q3: Do you think AI should have rights?                                          54% answered yes

I thought many of you would find this interesting.  And my students would like to hear your views on the topic.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma at uci.edu<mailto:jkrichma at uci.edu>
http://www.socsci.uci.edu/~jkrichma<https://urldefense.com/v3/__http:/www.socsci.uci.edu/*jkrichma__;fg!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZaZ83AkV$>
https://www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/<https://urldefense.com/v3/__https:/www.penguinrandomhouse.com/books/716394/neurorobotics-by-tiffany-j-hwu-and-jeffrey-l-krichmar/__;!!Mih3wA!HDh_VR15vKKZHpLfS4NQNCBOnPXi4taXtClO-FkrXpNYzCK6sf3PtTd6GMYP_ZhCZT4hUUls$>

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From suashdeb at gmail.com  Fri Jun  9 03:23:35 2023
From: suashdeb at gmail.com (Suash Deb)
Date: Fri, 9 Jun 2023 12:53:35 +0530
Subject: Connectionists: Announcement of ISMSI 2024 (Singapore)
Message-ID: <CADq6yzZB6fRgHmuiM285Vh3s0_+JZt1NijndoSvN=kh1ycuF+g@mail.gmail.com>

Hello friends & esteemed colleagues,

Warmest greetings. How are you all? Trust all is well at your end.

Today I am pleased to announce and present the website of ISMSI 2024
http://ismsi.org , an annual event of IICCI http://www.iicci.in

I solicit your help in disseminating the info abt this conference among
your peers and others and motivate them to submit manuscripts for the same.

Thanks and regards,

Suash Deb

General Chair, ISMSI 2024
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From kartik.chari at dfki.de  Fri Jun  9 06:00:35 2023
From: kartik.chari at dfki.de (Kartik Chari)
Date: Fri, 9 Jun 2023 10:00:35 +0000
Subject: Connectionists: REMINDER: Call for Participation -> Inter-HRI
	Competition
Message-ID: <VI1PR0602MB380807F393B5DF67E0C996E98451A@VI1PR0602MB3808.eurprd06.prod.outlook.com>

Dear fellow researchers,

We would like to remind you that you have to register on our internal competition registration portal before 12 June 2023 (AoE) in order to participate.

Link for registration: https://conftool.dfki-bremen.de/

---------
Our team is organizing a BCI competition at the IJCAI 2023 conference and we would like to draw your attention to the following call for participation:
--------

CALL FOR PARTICIPATION!!!!!
Challenge/Competition -> IntEr-HRI: Intrinsic Error Evaluation during Human-Robot Interaction

IntEr-HRI Challenge (https://ijcai-23.org/competitions/) is a competition in IJCAI?23. It is being organized by the Robotics Innovation Centre at the German Research Centre for Artificial Intelligence (DFKI) and the Department of Medical Technology Systems at the University of Duisburg-Essen. The goal of the competition is to develop competitive Signal Processing and Machine Learning approaches for the asynchronous detection of erroneous behaviors based on single-trial EEG analysis.

Experimental Setup:
The experimental setup consisted of 4 main parts ? a 64-channel EEG system, an eight-channel EMG system, an active orthosis device fitted on the right arm, and an air-filled ball held in the left hand of the subject. The active orthosis provided support at the elbow joint to perform flexion-extension movements. During the experiment, the subjects performed 30 movement trials (15 flexions and 15 extensions). In each trial, the subjects indicated their intention to start the movement by applying an initial force after which the active orthosis device took over the control of the movement. Additionally, out of the 30 trials, 6 were randomly selected during each of which an error was deliberately introduced. This error lasted for a short duration of 250 ms and was characterized by a momentary change in the direction of movement. As soon as the subjects felt the errors, they were instructed to squeeze the ball in their left hand.

Competition:
The competition is divided into 2 stages ? Offline stage and online stage.

Offline Stage:
In the offline stage, pre-recorded EEG dataset is provided. This dataset is divided into labeled training data and unlabeled test data. The task for this stage is to train the machine learning model to detect the deliberately introduced errors and perform a 10-fold cross-validation on the labeled training data. Furthermore, it is expected to test this model on the provided unlabeled test data and detect the exact time points where the errors were introduced.

Online Stage:
The top 10 teams with the best results in the offline stage will be selected for the online stage of the competition wherein the teams would get an opportunity to test their approaches on our experimental setup in real-time.

Detailed information about our experimental setup, methods used, and dataset description can be found in our arXiv paper (https://doi.org/10.48550/arXiv.2305.11996). Please follow our competition webpage (https://ijcai-23.dfki-bremen.de/competitions/inter-hri/) for a complete overview of the competition rules, evaluation metrics, registration deadlines, and submission deadlines.

Important Links:
Competition Webpage: https://ijcai-23.dfki-bremen.de/competitions/inter-hri/
arXiv paper: https://doi.org/10.48550/arXiv.2305.11996
Registration Portal: https://conftool.dfki-bremen.de/

Training Dataset (Zenodo): Training Dataset Link<https://doi.org/10.5281/zenodo.7951044>
Test dataset (Zenodo): Test Dataset Link<https://doi.org/10.5281/zenodo.7966275><https://doi.org/10.5281/zenodo.7966275><https://doi.org/10.5281/zenodo.7966275><https://doi.org/10.5281/zenodo.7966275>





--
  Best Regards,
  Kartik Seshadri Chari
  Researcher: M-Rock

  DFKI GmbH
  Robotics Innovation Center
  Robert-Hooke-Stra?e 1
  28359 Bremen, Germany

  Telefon:  +49 421 178 45 7400
  Zentrale: +49 421 178 45-0
  Fax        : +49 421 178 45-4150 (Please mark faxes by name)
  Email     : kartik.chari at dfki.de

  Weitere Informationen: http://www.dfki.de/robotik
  -------------------------------------------------- -----------
  Deutsches Forschungszentrum f?r K?nstliche Intelligenz GmbH
  Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany

  Gesch?ftsf?hrung:
  Prof. Dr. Antonio Kr?ger
  Helmut Ditzer

  Vorsitzender des Aufsichtsrats:
  Dr. Gabri?l Clemens
  Amtsgericht Kaiserslautern, HRB 2313
-------------------------------------------------------------
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From johannes.lutzeyer at polytechnique.edu  Fri Jun  9 06:28:21 2023
From: johannes.lutzeyer at polytechnique.edu (Lutzeyer Johannes (M.))
Date: Fri, 9 Jun 2023 12:28:21 +0200 (CEST)
Subject: Connectionists: =?utf-8?q?2_Postdoctoral_Researcher/Research_Engi?=
 =?utf-8?q?neer_Positions_in_the_area_of_=22Deep_Learning_on_Graphs=22_=40?=
 =?utf-8?q?_DaSciM_Group=2C__=C3=89cole_Polytechnique=2C_IPP=2C_Paris=2C_F?=
 =?utf-8?q?rance=2E?=
Message-ID: <339706472.6760537.1686306501280.JavaMail.zimbra@zimbra.polytechnique.fr>

Dear Connectionists, 

We would like to advertise 2 Postdoctoral Researcher/Research Engineer Positions in our group. Please find more details on the positions below. We look forward to hearing from you! 

POSITION 1, "Graph Representation Learning with Biomedical Applications": 
The use of Artificial Intelligence (AI) methodology is currently accelerating progress in the area of drug discovery at an impressive speed. Recent successes include the discovery of antibiotics using AI pipelines (Stokes et al., 2020; Liu et al. 2023) as well as the release of the already very impactful AlphaFold model which predicts the three dimensional structure of proteins (Jumper et al., 2021). This rapid scientific progress is also triggering increased industrial interest with Google?s Deepmind announcing the foundation of a new Alphabet subsidiary called Isomorphic Labs with the goal of industrialising AI-driven drug discovery. We are looking for a candidate willing to work in this exciting and dynamic space of scientific progress. Specifically, we would aim to involve the candidate in several projects in which we explore the potential of Graph Representation Learning methodology in the context of Biomedical applications. 

POSITION 2, "Multimodal Graph Generative Models": 
Graph generative models are recently gaining significant interest in current application domains. They are commonly used to model social networks, knowledge graphs, and protein-protein interaction networks. The research to be conducted during this project will capitalize on the potential of graph generative models and recent relevant efforts in the Biomedical domain. We will investigate the challenges of multi modality in the context of defining architectures for graph generation under the proper prompt. We expect our designed architectures to be useful in different areas including power grid/telecom/social networks design. 

CANDIDATE PROFILES Candidates must have at least two of the following 
- a recent PhD degree in either Computer Science, Mathematics, Chemistry, Biology or Physics, 
- analytical skills and creative thinking with a hard working attitude, 
- very good programming skills (Python). 

Ideally we are also searching for candidates with the following desired qualifications 
- strong mathematical background (including Probability, Statistics and Linear Algebra), 
- Machine and Deep Learning skills (architecture design and optimisation, good understanding of Transformers or Graph Neural Networks), 
- an understanding of biological application domains, 
- a sound publication record with visible impact. 

FUNDING The funding for this position has already been won and competitive funding for up to 36 months is available. 

APPLICATIONS Interested candidates should send an email addressed to both Michalis Vazirgiannis (mvazirg at lix.polytechnique.fr) and Johannes Lutzeyer (johannes.lutzeyer at polytechnique.edu) and attach the following 
- a cover letter including a brief presentation of their academic record and motivation as well as relevant skills and experience. 
- a full CV with detailed grading information for the acquired degrees. 

We will interview candidates on a rolling basis and will aim to fill this position as soon as possible. 

LOCATION This position would require you to work from our offices in the Computer Science Laboratory of ?cole Polytechnique in the broader area of Paris (a-priori no remote work component is planned). ?cole Polytechnique is the premier engineering University of France and a founding member of the recently established Institut Polytechnique de Paris (which entered the international rankings in high positions). Famous scientists (including Nobel prize recipients) and industrial leaders are alumni of the school, offering an exceptional environment for research in the fast growing excellence pole of Saclay, hosting a rich ecosystem of industrial and academic research centers a few kilometers south of Paris. Additionally, it offers ample computing and recreation resources and facilities on the University campus. The Data Science and Mining group, in which you would be integrated, has already had significant impact in local and international research and industrial activities with several high-impact publications and successful industrial projects. 


We look forward to hearing from you, 

Prof. Michalis Vazirgiannis 
Distinguished Professor 
Website: [ http://www.lix.polytechnique.fr/~mvazirg/ | http://www.lix.polytechnique.fr/~mvazirg/ ] 
Scholar: [ https://scholar.google.gr/citations?user=aWGJYcMAAAAJ&hl=en | https://scholar.google.gr/citations?user=aWGJYcMAAAAJ&hl=en ] 
Twitter: [ https://twitter.com/mvazirg | https://twitter.com/mvazirg ] 

Dr. Johannes Lutzeyer 
Assistant Professor 
Website: [ https://johanneslutzeyer.com/ | https://johanneslutzeyer.com/ ] 
Scholar: [ https://scholar.google.com/citations?user=OfT4ns8AAAAJ&hl=en | https://scholar.google.com/citations?user=OfT4ns8AAAAJ&hl=en ] 
Twitter: [ https://twitter.com/jlutzeyer | https://twitter.com/jlutzeyer ] 


Data Science and Mining Group: [ http://www.lix.polytechnique.fr/dascim/ | http://www.lix.polytechnique.fr/dascim/ ] 
Laboratoire d'Informatique: [ https://www.lix.polytechnique.fr/ | https://www.lix.polytechnique.fr/ ] 
?cole Polytechnique: [ https://www.polytechnique.edu/en | https://www.polytechnique.edu/en ] 
Institute Polytechnique de Paris: [ https://www.ip-paris.fr/en/about/rankings# | https://www.ip-paris.fr/en/about/rankings# ] 
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From d.kollias at qmul.ac.uk  Fri Jun  9 13:09:11 2023
From: d.kollias at qmul.ac.uk (Dimitrios Kollias)
Date: Fri, 9 Jun 2023 17:09:11 +0000
Subject: Connectionists: (CfP) ACM-MM 2023: 1st International Workshop on
 Responsible Affective computing (REACT)
Message-ID: <DU0PR07MB9268A0C2FC0619AF4B1FA832D651A@DU0PR07MB9268.eurprd07.prod.outlook.com>

Dear Colleagues,

Please find below the invitation to contribute to the 1st International Workshop on Responsible Affective computing (REACT 2023) to be held in conjunction with the ACM-MM 2023<https://www.acmmm2023.org/>.


The REACT 2023 Workshop aims to encourage and highlight novel strategies for affective phenomena estimation and prediction with a focus on robustness and accuracy in extended parameter spaces, spatially, temporally, spatio-temporally and most importantly Responsibly. This is expected to be achieved by applying novel neural network architectures, incorporating anatomical insights and constraints, introducing new and challenging datasets, and exploiting multi-modal training.


Specifically, the workshop topics include (but are not limited to):

  *   Privacy preserving large scale data collection and annotation for Affective Computing.
  *   Privacy preserving large scale emotion recognition in the wild.
  *   Responsible AI for emotion recognition.
  *   Privacy preserving fusion techniques for audio-visual/physiological signals.
  *   Privacy preserving localization and identification of salient affect signals.
  *   Privacy preserving applications in healthcare domain (mental health, rehab robotics etc).
  *   Affective Computing Applications in education and entertainment.
  *   Privacy concerns in large scale data collection.
  *   Explainable AI in affective computing.
  *   Responsible Personalization of affective phenomena estimators with low data regime.
  *   Bias in affective computing data (e.g., lack of multi-cultural datasets).
  *   Algorithmic bias and fairness in affective computing.


The accepted papers will be published in the official ACM-MM Workshops proceedings.



Important Dates:
Paper Submission Deadline:                                                         15 July, 2023
Review decisions sent to authors; Notification of acceptance:      31 July, 2023
Camera ready version                                                                    05 August, 2023

Chairs:

Shreya Gosh,      Curtin University, Australia
Abhinav Dhall,     Indian Institute of Technology Ropar, India
Dimitrios Kollias, Queen Mary University of London, UK
Roland Goecke,  University of Canberra, Australia
Tom Gedeon,      Curtin University, Australia


In case of any queries, please contact shreya.ghosh at curtin.edu.au<mailto:shreya.ghosh at curtin.edu.au>



Kind Regards,
Dimitrios Kollias,
on behalf of the organising committee




========================================================================

Dr Dimitrios Kollias, PhD, MIEEE, FHEA

Lecturer (Assistant Professor) in Artificial Intelligence

Member of Multimedia and Vision (MMV) research group

Member of Queen Mary Computer Vision Group

Associate Member of Centre for Advanced Robotics (ARQ)
Academic Fellow of Digital Environment Research Institute (DERI)

School of EECS

Queen Mary University of London

========================================================================

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From t.hauser at ucl.ac.uk  Fri Jun  9 03:37:30 2023
From: t.hauser at ucl.ac.uk (Tobias U. Hauser)
Date: Fri, 9 Jun 2023 08:37:30 +0100
Subject: Connectionists: PostDoc UCL in fMRI and decision making
Message-ID: <50cfbbcf-72c3-fb88-3227-11816f2a4e88@ucl.ac.uk>

Dear colleagues

We have a postdoc position at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging to fill this summer.
The eligible candidate should have a strong background in fMRI and decision making. He will join the developmental computational psychiatry group, working on innovative topics, such as structure learning, complex decision making and mental health. The focus will be on conducting fMRI research with the possibility to do computational modelling
If you are interested, please see the advert here: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=5227&nPostingTargetId=10907&id=Q1KFK026203F3VBQBLO8M8M07&LG=UK&languageSelect=UK&mask=ext
Deadline is the 18th June, approaching quickly!

Best
Tobias

-- 
Play smartphone games and help us understand the brain: www.brainexplorer.net

Dr Tobias U. Hauser
Sir Henry Dale Fellow, Principal Research Fellow
Developmental Computational Psychiatry lab
Max Planck UCL Centre for Computational Psychiatry & Ageing Research
Wellcome Centre for Human Neuroimaging
University College London
10-12 Russell Square
London WC1B 5EH
+44 207 679 5264 (internal: 45264)
t.hauser at ucl.ac.uk
https://ucl.zoom.us/j/7601915601
www.tobiasuhauser.com
www.devcompsy.org

From morency at cs.cmu.edu  Fri Jun  9 15:34:26 2023
From: morency at cs.cmu.edu (Louis-Philippe Morency)
Date: Fri, 9 Jun 2023 15:34:26 -0400
Subject: Connectionists: Artificial Social Intelligence Workshop and
 Challenge @ ICCV 2023 - Call for Papers
Message-ID: <7e6cadbcf99c9b0c63b8f20dba7cb80c@mail.gmail.com>

Hello!    Bonjour!



We welcome and invite you to participate in the ICCV 2023 Challenge and
Workshop on ?Artificial Social Intelligence? which will be held on October
2, 2023 in Paris at ICCV.



*****************************************************************

*Event: *Challenge and Workshop Artificial Social Intelligence

*Location: *Co-located with ICCV 2023

*Date: *2 October 2023

*Paper Submission Deadline: *21 July 2023

*Workshop Website: *https://sites.google.com/view/asi-iccv-2023

*Social-IQ Challenge Website: *
https://cmu-multicomp-lab.github.io/social-iq-2.0/

*****************************************************************



*Workshop Overview: Artificial Social Intelligence*

As social agents, humans have *social intelligence* that enables them to
engage with others through complex signals such as facial expressions, body
motion, and speech, among other communication modalities. Given the
monumental utility of social intelligence in the daily lives of humans,
there has been an emerging interest in building social intelligence in AI
systems. We welcome researchers across disciplines (computer vision, NLP,
robotics, neuroscience, etc) to join our workshop and discuss the science
of social intelligence, as well as underlying technical challenges, goals,
and ethics of building social intelligence in real-world AI systems. Our
workshop will include keynote talks, panel discussions, and paper
presentations.



*A new Social-IQ Challenge*

Our workshop will host the Social-IQ challenge from CMU?s MultiComp Lab on
multimodal Question-Answering for socially-intelligent video understanding.
Our Social-IQ benchmark contains over 1,000 videos, over 6,000 questions,
and over 24,000 answers. There are $1,200 in total prizes for challenge
participants. In order to encourage diverse, innovative approaches
addressing the Social-IQ 2.0 challenge, we welcome submissions under one of
the following three focuses:

   - *few-shot focus*: composing pre-trained models in a zero- or few-shot
   way
   - *fusion and reasoning *focus: learning to fuse and integrate
   information from multimodal features
   - *representation learning focus*: Learning new multimodal
   representations directly from raw data



Additional details regarding challenge participation can be found on our
challenge website:

https://cmu-multicomp-lab.github.io/social-iq-2.0/



*Call for Papers and Participation*

There will be 2 paper tracks for this workshop, both included in ICCV
proceedings :

   - Social-IQ Challenge track: where participants of the Social-IQ
   challenge summarize their findings and approach.
   - Workshop track: for all researchers interested in topics related to
   artificial social intelligence, with no need to use the Social-IQ dataset



General workshop papers can be focused on any topics related to artificial
social intelligence, including (but not limited to) the following areas:

   - Social signal processing (e.g., turn-taking prediction)
   - Social behavior, emotion, pose, and/or trajectory prediction by
   virtual and embodied agents
   - Social behavior and emotion generation in virtual and embodied agents
   - Applications of artificial social intelligence



*Important Dates*

   - Paper submission deadline:        21 July 2023
   - Notification of acceptance:         4 August 2023
   - Camera-ready deadline:               11 August 2023
   - Workshop day:                             2 October 2023



*Organizing Committee*

   - Evonne Ng, UC Berkeley
   - Alex Wilf, Carnegie Mellon University
   - Leena Mathur, Carnegie Mellon University
   - Paul Pu Liang, Carnegie Mellon University
   - Trevor Darrell, UC Berkeley
   - Hanbyul Joo, Seoul National University
   - Angjoo Kanazawa, UC Berkeley
   - Hyun Soo Park, University of Minnesota
   - Shiry Ginosar, UC Berkeley
   - Justine Cassell, Carnegie Mellon University, Inria Paris
   - Louis-Philippe Morency, Carnegie Mellon University



*Contact *

If you have any questions about the workshop, please email Alex Wilf (
awilf at cs.cmu.edu), Leena Mathur (lmathur at cs.cmu.edu), or Evonne Ng (
evonne_ng at berkeley.edu)
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From frothga at sandia.gov  Fri Jun  9 13:20:44 2023
From: frothga at sandia.gov (Rothganger, Fredrick)
Date: Fri, 9 Jun 2023 17:20:44 +0000
Subject: Connectionists: Does AI need to replicate the human mind?
In-Reply-To: <B2D29C5C-E0D1-4551-964A-CA091ECD506A@nyu.edu>
References: <PH0PR03MB642934EF1D88F8B17F8FCE31C653A@PH0PR03MB6429.namprd03.prod.outlook.com>
 <B2D29C5C-E0D1-4551-964A-CA091ECD506A@nyu.edu>
Message-ID: <PH0PR09MB863501CDEBBE1CAE9E4BA037DB51A@PH0PR09MB8635.namprd09.prod.outlook.com>

I'd like to pick up on one point Gary mentions. There are plenty of applications of AI that don't require replicating the human mind.

However, replicating the human mind is a worthy goal in and of itself, independent of applications. If we accept certain positions in the philosophy of mind, such as functionalism and materialism, then replicating the human mind in a machine is a scientific quest to understand ourselves in the most precise way possible: a computable model. This is the same motivation shared by psychology and other social sciences.

A complete computable model of the human mind should also explain all relevant observations from neuroscience, even if it is not literally a whole-brain model.


________________________________
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> on behalf of Gary Marcus <gary.marcus at nyu.edu>
Sent: Thursday, June 8, 2023 7:35 AM
To: Grossberg, Stephen <steve at bu.edu>
Cc: connectionists at cs.cmu.edu <connectionists at cs.cmu.edu>
Subject: [EXTERNAL] Re: Connectionists: Sentient AI Survey Results

I would add to the below that there are multiple reasons why current models are neither trustworthy nor reliable (e.g., also because they lack world models and adequate robust processes for reasoning) but Stephen has really hit the nail on the head here. AI doesn?t need to *replicate* the human mind, but current systems very much do ?omit key processes that make humans intelligent?, and the fact that they are untrustworthy and unreliable follows directly from there.

We must consider alternative approaches if we are to rectify the untrustworthiness and unreliability.

> On Jun 8, 2023, at 00:27, Grossberg, Stephen <steve at bu.edu> wrote:
>
> Deep Learning, and related models, are biologically impossible and omit key processes that make humans intelligent, in addition to being UNTRUSTWORTHY (because they are NOT EXPLAINABLE) and UNRELIABLE (because they experience CATASTROPHIC FORGETTING).

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From cgf at isep.ipp.pt  Sat Jun 10 20:09:29 2023
From: cgf at isep.ipp.pt (Carlos)
Date: Sun, 11 Jun 2023 01:09:29 +0100
Subject: Connectionists: CFP: SoGood 2023 - ECML-PKDD Workshop on Data
	Science for Social Good
Message-ID: <af168870-f757-5b73-cb02-b1402ff7264e@isep.ipp.pt>

=================

Call for Papers

SoGood 2023 ? 8th Workshop on Data Science for Social Good

Affiliated with ECML-PKDD 2023, 18-22 September, Torino, Italy, https://2023.ecmlpkdd.org/

Workshop site: https://sites.google.com/view/sogood2023/home



The possibilities of Data Science for contributing to social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models" or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of social impact of the application.


This workshop aims to attract papers presenting applications of Data Science for Social Good (which may, or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes:

?         Government transparency and IT against corruption

?         Fight against environmental crime

?         Public safety and disaster relief
?         Access to food, water, sanitation and utilities
?         Efficiency and sustainability
?         Climate change
?         Data journalism
?         Social and personal development
?         Economic growth and improved infrastructure
?         Transportation
?         Energy
?         Smart city services
?         Education
?         Social services, unemployment and homeless
?         Healthcare and well-being
?         Support for people living with disabilities
?         Responsible consumption and production
?         Gender equality, discrimination against minorities
?         Ethical issues, fairness, and accountability.
?         Trustability and interpretability
?         Topics aligned with the UN development goals:

http://www.un.org/sustainabledevelopment/sustainable-development-goals/



The maximum length of papers in 16 pages, including references, consistent with the ECML PKDD conference submissions.

Submitting a paper to the workshop means that if the paper is accepted, at least one author will attend the workshop and present the paper. Papers not presented at the workshop will not be included in the proceedings. We will follow ECML PKDD?s policy for attendance.


Paper publication:
Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.


Important Dates:
?         Workshop paper submission deadline: June 24, 2023

?         Workshop paper acceptance notification: July 12, 2023

?         Workshop paper camera-ready deadline: July 24, 2023

?         Workshop: September 22, 09h-12.30, 2023 (TBC)

Carlos Ferreira


ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. Ant?nio Bernardino de Almeida, 431
4249-015 Porto - PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
mail at isep.ipp.pt | www.isep.ipp.pt


From t.hauser at ucl.ac.uk  Sat Jun 10 03:27:52 2023
From: t.hauser at ucl.ac.uk (Hauser, Tobias)
Date: Sat, 10 Jun 2023 07:27:52 +0000
Subject: Connectionists: Correction: Postdoc position at UCL
Message-ID: <AS8PR01MB103675C22E8A403745FE08280DE56A@AS8PR01MB10367.eurprd01.prod.exchangelabs.com>

*CORRECTION* (apologies for using gendered language previously - this position is open to anyone irrespective of their identity!)

We have a postdoc position at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging to fill this summer.
The eligible candidate should have a strong background in fMRI and decision making. *They* will join the developmental computational psychiatry group, working on innovative topics, such as structure learning, complex decision making and mental health. The focus will be on conducting fMRI research with the possibility to do computational modelling
If you are interested, please see the advert here: https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?nPostingId=5227&nPostingTargetId=10907&id=Q1KFK026203F3VBQBLO8M8M07&LG=UK&languageSelect=UK&mask=ext
Deadline is the 18th June, approaching quickly! Please reach out in case of questions.

Best
Tobias

---
Dr. Tobias U. Hauser
Principal Research Fellow / Sir Henry Dale Fellow
Developmental Computational Psychiatry group
Max Planck UCL Centre for Computational Psychiatry
and Ageing Research
Wellcome Centre for Human Neuroimaging
University College London
10-12 Russell Square
London WC1B 5EH
+44 207 679 5264 (internal: 45264)
t.hauser at ucl.ac.uk
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From david at irdta.eu  Sat Jun 10 13:10:01 2023
From: david at irdta.eu (David Silva - IRDTA)
Date: Sat, 10 Jun 2023 19:10:01 +0200 (CEST)
Subject: Connectionists: DeepLearn 2023 Summer: early registration June 20
Message-ID: <1452693288.1579852.1686417001457@webmail.strato.com>

************************************************************************

10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING

DeepLearn 2023 Summer

Las Palmas de Gran Canaria, Spain

July 17-21, 2023

https://deeplearn.irdta.eu/2023su/

************************************************************************

Co-organized by:

University of Las Palmas de Gran Canaria

Institute for Research Development, Training and Advice ? IRDTA
Brussels/London

************************************************************************

Early registration: June 20, 2023

************************************************************************

FRAMEWORK:

DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested.

SCOPE:

DeepLearn 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth and Bari.

Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identified through 15 four-hour and a half courses, 2 keynote lectures and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles.

ADDRESSED TO:

Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.

VENUE:

DeepLearn 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be:

Instituci?n Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria

https://www.infecar.es/

STRUCTURE:

2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue.

Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event.

KEYNOTE SPEAKERS:

Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids

Aidong Zhang (University of Virginia), Concept-Based Explainable Deep Learning Models

PROFESSORS AND COURSES:

Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era

Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science

Nat?lia Cordeiro (University of Porto), [introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design

Daniel Cremers (Technical University of Munich), [intermediate] Deep Networks for 3D Computer Vision

Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits

Georgios Giannakis (University of Minnesota), [intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing

Marcus Liwicki (Lule? University of Technology), [intermediate/advanced] Methods for Learning with Few Data

Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration

Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild

Bj?rn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing

Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations

Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures

Jiliang Tang (Michigan State University), [introductory/advanced] Deep Learning on Graphs: Methods, Advances and Applications

Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems

Lihi Zelnik-Manor (Technion - Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises

OPEN SESSION:

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 2023.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023.

EMPLOYER SESSION:

Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023.

ORGANIZING COMMITTEE:

Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria)
Marisol Izquierdo (Las Palmas de Gran Canaria, local chair)
Carlos Mart?n-Vide (Tarragona, program chair)
Sara Morales (Brussels)
David Silva (London, organization chair)

REGISTRATION:

It has to be done at

https://deeplearn.irdta.eu/2023su/registration/

The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in BigDat 2023 Summer.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.

The fees for on site and for online participation are the same.

ACCOMMODATION:

Accommodation suggestions are available at

https://deeplearn.irdta.eu/2023su/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

QUESTIONS AND FURTHER INFORMATION:

david at irdta.eu

ACKNOWLEDGMENTS:

Cabildo de Gran Canaria

Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico

Universitat Rovira i Virgili

Institute for Research Development, Training and Advice ? IRDTA, Brussels/London
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From pubconference at gmail.com  Sun Jun 11 11:36:06 2023
From: pubconference at gmail.com (Pub Conference)
Date: Sun, 11 Jun 2023 11:36:06 -0400
Subject: Connectionists: CFP: 13th International Conference on Information
 Science and Technology (ICIST 2023), December 8-14, 2023, Cairo, Egypt
Message-ID: <CALh+pVXMvHeCYvth=KiLDqpu0TAzpUW8dc6mx9NZXEF==1xEtw@mail.gmail.com>

*Call for Papers*
*https://conference.cs.cityu.edu.hk/icist
<https://conference.cs.cityu.edu.hk/icist>*

Sponsor: British University in Egypt
Co-Sponsors: City University of Hong Kong and Chongqing Three Gorges
University
Technical co-sponsor: IEEE Systems, Man and Cybernetics Society

The 13th International Conference on Information Science and Technology
(ICIST 2023) will be held in Cairo, Egypt during December 8-14, 2023. As a
cradle of civilization, the conference site features long historical and
rich cultural heritages. Following the successes of previous events, ICIST
2023 aims to provide a high-level international forum for scientists,
engineers, and educators to present the state of the art of research and
applications in related fields. The conference will feature preconference,
tutorials, plenary speeches given by world-renowned scholars, regular
sessions with broad coverage, and special sessions focusing on popular
topics and pre-conference tutorials/workshops to warm up the main event.

*Call for Papers and Special Sessions*
Prospective authors are invited to contribute high-quality papers to ICIST
2023. In addition, proposals for special sessions within the technical
scope of the conference are solicited. Special sessions, to be organized by
internationally recognized experts, aim to bring together researchers on
special focused topics. Papers submitted for special sessions are to be
peer-reviewed with the same criteria used for the contributed papers.
Researchers interested in organizing special sessions are invited to submit
formal proposals to ICIST 2023. A special session proposal should include
the session title, a brief description of the scope and motivation, names,
contact information, and brief biographical information on the organizers.

*Topic Areas*
Topics of contributing papers include, but are not limited to, the
following areas:
*Computer Science and Engineering*
Computer networks, computer vision, pattern recognition, virtual, reality,
parallel and distributed computing, high-performance computing, artificial
intelligence, computer graphics, big data, cloud computing, database
management systems, mobile agent computing, quality of services and
communication protocol, mobile computing for e-commerce, cryptography and
information security, scientific and engineering computing, hybrid
computational methods, data visualization and virtual reality, web- and
grid-based computing and simulation, possibility theory, Bayes network and
hidden Markov models, computational intelligence, granular computing
*Control and Automation*
Autonomous systems, linear and nonlinear control, robust control, learning
and adaptive control, intelligent control, optimization-based and optimal
control, model predictive control, fault detection and identification,
hybrid intelligent systems, neural control, fuzzy logic control, networked
control, industrial automation, process control, robot control, mechatronic
systems, vehicle control systems, intelligent transportation systems,
environmental monitoring and control, intelligent manufacturing systems,
microprocessor-based control, motor control, power control, vehicle
control, aerospace control applications.
*Signal Processing and Telecommunications*
Adaptive filtering & signal processing, audio/speech processing and coding,
compressive sensing and sparse representation, higher-order spectral
analysis, nonlinear & blind signal processing, neural signal processing,
component analysis, array signal processing, parallel and distributed
processing, time series analysis, multimedia signal processing, design and
implementation of signal processing systems, DSP Implementations and
embedded systems, image and multidimensional signal processing, image
processing & understanding, multimedia communications, next-generation
wireless/wireline communications, communication signal processing,
modulation and channel coding, network coding, sensor networks
*Bioinformatics and Biomedical Engineering*
Microarray data analysis, gene regulation, network, and pathway analysis,
identification and classification of genes, protein structure prediction,
next-generation sequencing and metagenomics, protein, DNA/RNA structure,
function, and interactions, functional genomics and proteomics, molecular
evolution and phylogeny, neuroinformatic, brain-computer interface,
clinical engineering, rehabilitation engineering, neural engineering,
biomedical signal analysis and modeling, bio-imaging, sensing, and data
fusion, biomarker discovery, health informatics, healthcare data
acquisition, analysis, and modeling, biomedical data knowledge extraction,
biomedical data integration, modeling, and preprocessing, biological data
mining, knowledge sharing, visualization, and knowledge utilization,
biomedical data mining systems and computing platforms, electronic health
record acquisition, analysis, and decision support, high performance
computing for biomedical data analysis, smart clinical diagnosis and
decision systems

*Paper Submission*
Authors are invited to submit full-length papers (the nominal number of
pages is 10) by the submission deadline through the online submission
system. Special session organizers are also invited to enlist six or more
papers with cohesive topics to form special sessions. The submission of a
paper implies that the paper is original and has not been submitted under
review or is not copyright-protected elsewhere and will be presented by an
author if accepted. All submitted papers will be refereed by experts in the
field based on the criteria of originality, significance, quality, and
clarity. The authors of accepted papers will have an opportunity to revise
their papers and take into consideration of the referees' comments and
suggestions. Accepted papers will be submitted for inclusion into IEEE
Xplore subject to meeting IEEE Xplore?s scope and quality requirements.
Selected high-quality papers will be included in several journal special
issues.

*Important Dates*
Special session proposals deadline????????????????????????????.July 1, 2023
Paper submission deadline?????????????????????????...????......... August
1, 2023
Notification of acceptance?????????.???????????????...??????..September 1,
2023
Camera-ready copy and author
registration??????????????????..??????..?October 1, 2023
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From sebastien.destercke at hds.utc.fr  Mon Jun 12 03:29:50 2023
From: sebastien.destercke at hds.utc.fr (sdesterc)
Date: Mon, 12 Jun 2023 09:29:50 +0200
Subject: Connectionists: Next SIPTA seminar: 16th June (Friday), 15h CEST,
 Alexander Erreygers on One way to define an imprecise-probabilistic
 version of the Poisson process
Message-ID: <4EDD5516-72D0-493C-A523-46AB8407316B@hds.utc.fr>

Dear Colleagues,

We are delighted to announce our upcoming eight SIPTA online seminar on imprecise probabilities (IP). These monthly events are open to anyone interested in IP, and will be followed by a Q&A and open discussion. They also provide an occasion for the community to meet, keep in touch and exchange between in-person events.

The tenth seminar will take place on the 16th of June (Friday).

The zoom link for this seminar is https://utc-fr.zoom.us/j/85217156757. 

For this tenth seminar, we are very happy to have Alexander Erreygers as our speaker. Alexander Erreygers is currently postdoctoral researcher at Ghent University, and has been an active researcher in the field of imprecise probabilities. In particular, he has made many core contribution to the study of stochastic processes when transition probabilities become imprecise.

On the 16th of June, at 15:00 CEST:paris time (up to 17:00 CEST, with a talk duration of 45min/1h), he will talk about "One way to define an imprecise-probabilistic version of the Poisson process?. Curious? Then check out the abstract on the webpage of the SIPTA seminars: sipta.org/events/sipta-seminars. The zoom link for attending the seminar can be found on that same page. So please mark your calendars on the 16th of June, at 15:00 CEST, and join us for the occasion. You can find more information at https://sipta.org/events/sipta-seminars/

And for those who missed the previous seminar and want to catch up, or simply want to see it again and again, it is now online at https://www.youtube.com/watch?v=1RvysxPT4jA&t.

See you at the seminar!

S?bastien, Enrique and Jasper

From a.villavicencio at sheffield.ac.uk  Mon Jun 12 03:57:10 2023
From: a.villavicencio at sheffield.ac.uk (Aline Villavicencio)
Date: Mon, 12 Jun 2023 08:57:10 +0100
Subject: Connectionists: PhD position on neural and cognitive basis of
 computational models of language at the University of Sheffield (UK)
Message-ID: <EADCC1C8-03A6-40A4-9A78-7D597A7D1413@sheffield.ac.uk>

We are inviting applications for one fully funded PhD position (covering UK home tuition fees and stipend) in the Department of Computer Science, University of Sheffield (UK). Please forward this announcement to potentially interested candidates.

The deadline is July 10, 2023, with a starting date for the Autumn of 2023 (from September on). More details below and on this link <https://www.findaphd.com/phds/project/neural-and-cognitive-basis-of-computational-models-of-language/?p157925>. 

About the Project: neural and cognitive basis of computational models of language

Advances in the design of computational models that learn directly from data has led to much progress in areas like natural language processing (NLP). We invite applications for a fully-funded PhD studentship on human- inspired computational models of language. This multidisciplinary project, at the intersection of machine learning, NLP and computational neuroscience, aims to develop computational models of language processing inspired by the neural and biological basis of human language.

Candidate requirements:

Applicants will need to meet general entry requirements, and ideally will have a Bachelor?s degree (or above) in Computer Science, Neuroscience, Physics, Cognitive Science, Psychology or related discipline (preferably a First Class or the equivalent from an overseas university). Experience on statistical machine learning, deep learning, or computational statistics, as well as programming experience would be desirable.

Additional English language requirements can be found here:  <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1772&url=https%3a%2f%2fwww.sheffield.ac.uk%2fpostgraduate%2fenglish-language>https://www.sheffield.ac.uk/postgraduate/english-language <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1772&url=https%3a%2f%2fwww.sheffield.ac.uk%2fpostgraduate%2fenglish-language>. 

How to apply

Applications for the PhD studentship must be made directly to the University of Sheffield using the Postgraduate Online Application Form. Make sure you name Aline Villavicencio as proposed supervisor. Information on what documents are required and a link to the application form can be found here -  <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1772&url=https%3a%2f%2fwww.sheffield.ac.uk%2fpostgraduate%2fphd%2fapply%2fapplying>https://www.sheffield.ac.uk/postgraduate/phd/apply/applying <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1772&url=https%3a%2f%2fwww.sheffield.ac.uk%2fpostgraduate%2fphd%2fapply%2fapplying>
Funding Notes

This position is funded by a studentship from the Department of Computer Science, covering the UK home tuition fee and providing a stipend at the standard UKRI rate. International students are eligible to apply if they can self-fund the difference between the home and overseas fee.
More details on this link <https://www.findaphd.com/phds/project/neural-and-cognitive-basis-of-computational-models-of-language/?p157925>

----------------------------------------------------
Prof. Aline Villavicencio? <https://sites.google.com/view/alinev>(she/her)
Chair in Natural Language Processing
Director of Equality, Diversity and Inclusivity
Department of Computer Science, University of Sheffield
https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio

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From alessandro.dausilio at gmail.com  Mon Jun 12 04:14:57 2023
From: alessandro.dausilio at gmail.com (Alessandro D'Ausilio)
Date: Mon, 12 Jun 2023 10:14:57 +0200
Subject: Connectionists: [JOBS] Post-doc @ Italian Institute of Technology &
 University of Ferrara
Message-ID: <B97F9A7F-2965-4258-9364-3E5CA4422798@gmail.com>

Translational Neurophysiology Post-doc positions in Ferrara, Italy
 
https://www.iit.it/it/ctnsc-unife
 
We are looking for a number of early-career researchers to fill several postdoctoral positions that will open in the coming months at the University of Ferrara (Department of Neuroscience and Rehabilitation) or the Italian Institute of Technology (Center for Translational Neurophysiology).
 
The work location is Ferrara, a vibrant medium-sized city northern Italy, 40 minutes from Bologna, 50 to Padua, 1 hours to Venice, and 2 hours to Milan. You?d be working in a multicultural and multi-disciplinary team in which physicians, psychologists, biomedical engineers, computational scientists, physicists, chemists, and biologists collaborate, each with their own expertise, towards a shared vision.
 
The research group (4 full professors, 4 researchers, 2 technicians, 7 postdocs, 3-4 new PhDs each year) conducts research in the area of Neurophysiology of Speech and Sensorimotor Communication. From the development of innovative brain interfaces to advanced neural signal processing and machine learning, from speech-based communication to implicit sensorimotor coordination in healthy and neuropsychiatric or neurological populations, our goal is to develop a new understanding of how brains generate effective informational coupling and, when compromised by pathology, to devise new technologies for theranostic purposes.
 
The group is very well funded and has exclusive access to state-of-the-art laboratories and facilities: 1 Motion Capture Lab (e.g., Vicon, AMTI force platforms, Eyetracking, etc.), 2 noninvasive human neurophysiology Labs (e.g., 3 EEG systems, 4 TMS systems, 3 EMG systems, etc.), 2 animal neurophysiology Labs, 1 mechanical Lab, and 1 electronic Lab.
 
The research group has strong collaborations and authorizations to conduct data collections in clinical populations in the areas of neurosurgery (Udine Hospital, Ferrara Hospital), neurology (S. Lucia Rehabilitation Hospital in Rome, Gaslini Pediatric Hospital in Genoa, and Rehabilitation Unit of Ferrara Hospital), psychiatry (Ferrara Hospital).
 
We are looking for different profiles we can synthetize as follows:
-  Neurophysiological data analyst (mainly but not exclusively ECoG data)
-  Human invasive neurophysiologist (to conduct ECoG experiments)
-  Non-invasive neurophysiologist (TMS, Motion Capture and EEG data working on motor control)
-  Non-invasive neurophysiologist (TMS and EEG data working on speech)
-  Clinical researcher with a strong quantitative background (stroke patients rehabilitation)
 
Recent representative publications:
?     Casarotto A., et al., (2023) Mechanisms of Hebbian-like plasticity in the ventral premotor ? primary motor network. J Physiol (London), 601(1), 211-226.
?     Pastore A., et al., (2022) Speech listening entails neural encoding of invisible articulatory features. Neuroimage, 264, 119724.
?     Tomassini A., et al., (2022) Interpersonal synchronization of movement intermittency. iScience, 25(4), 104096.
?     Emanuele M., et al., (2021) Motor synergies: Evidence for a novel motor signature in autism spectrum disorder. Cognition, 213, 104652.
?     Viaro R., et al., (2021) Neurons of rat motor cortex become active during both grasping execution and grasping observation. Curr Biol, 31(19), 4405-4412.
?     Delfino E., al., (2021) Prediction of Speech Onset by Micro-electrocorticography of the Human Brain. Int J Neural Syst, 31 (07), 2150025. 
?     Tomassini A., et al., (2020) Visual detection is locked to the internal dynamics of cortico-motor control. PLoS Biol, 18(10):e3000898.
?     Hilt P. M., et al., (2020) Motor recruitment during action observation: effect of interindividual differences in action strategy. Cereb Cortex, 30(7), 3910?3920.
 
 
CONTACTS
Prof. Luciano Fadiga
luciano.fadiga at iit.it <mailto:luciano.fadiga at iit.it>
 
Prof. Alessandro D?Ausilio
alessandro.dausilio at iit.it <mailto:alessandro.dausilio at iit.it>
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From albagarciaseco at gmail.com  Mon Jun 12 07:02:42 2023
From: albagarciaseco at gmail.com (=?UTF-8?B?QWxiYSBHYXJjw61h?=)
Date: Mon, 12 Jun 2023 12:02:42 +0100
Subject: Connectionists: Call for Labs Proposals @ CLEF 2024
Message-ID: <CABD3rJXS4Lpq8zxBazo37snvKePwN+tJsOawyQZXMe6Y68bVAg@mail.gmail.com>

[Apologies for cross-postings]

*******************************************************
Call for Labs Proposals @CLEF 2024

At its 25th edition, the Conference and Labs of the Evaluation Forum (CLEF)
is a continuation of the very successful series of evaluation campaigns of
the Cross Language Evaluation Forum (CLEF) which ran between 2000 and 2009,
and established a framework of systematic evaluation of information access
systems, primarily through experimentation on shared tasks. As a leading
annual international conference, CLEF uniquely combines evaluation
laboratories and workshops with research presentations, panels, posters and
demo sessions. In 2024, CLEF takes place in September,  9-12 at the
University of Grenoble Alpes, France.

Researchers and practitioners from all areas of information access and
related communities are invited to submit proposals for running evaluation
labs as part of CLEF 2024. Proposals will be reviewed by a lab selection
committee, composed of researchers with extensive experience in evaluating
information retrieval and extraction systems. Organisers of selected
proposals will be invited to include their lab in the CLEF 2024 labs
programme, possibly subject to suggested modifications to their proposal to
better suit the CLEF lab workflow or timeline.

Background

The CLEF Initiative (http://www.clef-initiative.eu/) is a self-organised
body whose main mission is to promote research, innovation, and development
of information access systems with an emphasis on multilingual information
in different modalities - including text and multimedia - with various
levels of structure. CLEF promotes research and development by providing an
infrastructure for:

   1.

   independent evaluation of information access systems;
   2.

   investigation of the use of unstructured, semi-structured,
   highly-structured, and semantically enriched data in information access;
   3.

   creation of reusable test collections for benchmarking;
   4.

   exploration of new evaluation methodologies and innovative ways of using
   experimental data;
   5.

   discussion of results, comparison of approaches, exchange of ideas, and
   transfer of knowledge.


Scope of CLEF Labs

We invite submission of proposals for two types of labs:

   1.

   ?Campaign-style? Evaluation Labs for specific information access
   problems (during the twelve months period preceding the conference),
   similar in nature to the traditional CLEF campaign ?tracks?. Topics covered
   by campaign-style labs can be inspired by any information access-related
   domain or task.

   2.

   Labs that follow a more classical ?workshop? pattern, exploring
   evaluation methodology, metrics, processes, etc. in information access and
   closely related fields, such as natural language processing, machine
   translation, and human-computer interaction.


We highly recommend organisers new to the CLEF format of shared task
evaluation campaigns to first consider organising a lab workshop to discuss
the format of their proposed task, the problem space and practicalities of
the shared task. The CLEF 2024 programme will reserve about half of the
conference schedule for lab sessions. During the conference, the lab
organisers will present their overall results in overview presentations
during the plenary scientific paper sessions to give non-participants
insights into where the research frontiers are moving. During the
conference, lab organisers are expected to organise separate sessions for
their lab with ample time for general discussion and engagement with all
participants - not just those presenting campaign results and papers.
Organisers should plan time in their sessions for activities such as
panels, demos, poster sessions, etc. as appropriate. CLEF is always
interested in receiving and facilitating innovative lab proposals.

Potential task proposers unsure of the suitability of their task proposal
or its format for inclusion at CLEF are encouraged to contact the CLEF 2024
Lab Organizing Committee Chairs to discuss its suitability or design at an
early stage.

Proposal Submission

Lab proposals must provide sufficient information to judge the relevance,
timeliness, scientific quality, benefits for the research community, and
the competence of the proposers to coordinate the lab. Each lab proposal
should identify one or more organisers as responsible for ensuring the
timely execution of the lab. Proposals should be 3 to 4 pages long and
should provide the following information:

   1.

   Title of the proposed lab.

   2.

   A brief description of the lab topic and goals, its relevance to CLEF
   and the significance for the field.

   3.

   A brief and clear statement on usage scenarios and domain to which the
   activity is intended to contribute, including the evaluation setup and
   metrics.

   4.

   Details on the lab organiser(s), including identifying the task chair(s)
   responsible for ensuring the running of the task. This should include
   details of any previous involvement in organising or participating in
   evaluation tasks at CLEF or similar campaigns.

   5.

   The planned format of the lab, i.e., campaign-style (?track?) or
   workshop.

   6.

   Is the lab a continuation of an activity from previous year(s) or a new
   activity?


   1.

   For activities continued from previous year(s): Statistics from previous
   years (number of participants/runs for each task), a clear statement on why
   another edition is needed, an explicit listing of the changes proposed, and
   a discussion of lessons to be learned or insights to be made.

   2.

   For new activities: A statement on why a new evaluation campaign is
   needed and how the community would benefit from the activity.



   1.

   Details of the expected target audience, i.e., who do you expect to
   participate in the task(s), and how do you propose to reach them.

   2.

   Brief details of tasks to be carried out in the lab. The proposal should
   clearly motivate the need for each of the proposed tasks and provide
   evidence of its capability of attracting enough participation. The dataset
   which will be adopted by the Lab needs to be described and motivated in the
   perspective of the goals of the Labs; also indications on how the dataset
   will be shared are useful. It is fine for a lab to have a single task, but
   labs often contain multiple closely related tasks, needing a strong
   motivation for more than 3 tasks, to avoid useless fragmentation.

   3.

   Expected length of the lab session at the conference: half-day, one day,
   two days. This should include high-level details of planned structure of
   the session, e.g. participant presentations, invited speaker(s), panels,
   etc., to justify the requested session length.

   4.

   Arrangements for the organisation of the lab campaign: who will be
   responsible for activities within the task; how will data be acquired or
   created, what tools or methods will be used, e.g., how will necessary
   queries be created or relevance assessment carried out; any other
   information which is relevant to the conduct of your lab.

   5.

   If the lab proposes to set up a steering committee to oversee and advise
   its activities, include names, addresses, and homepage links of people you
   propose to be involved.


Lab proposals must be submitted at the following address:

https://easychair.org/conferences/?conf=clef2024

choosing the ?CLEF 2024 Lab Proposals? track.

Reviewing Process

Each submitted proposal will be reviewed by the CLEF 2024 Lab Organizing
Committee. The acceptance decision will be sent by email to the responsible
organiser by 28 July 2023. The final length of the lab session at the
conference will be determined based on the overall organisation of the
conference and the number of participant submissions received by a lab.

Advertising Labs at CLEF 2023 and ECIR 2024

Organisers of accepted labs are expected to advertise their labs at both
CLEF 2023 (18-21 September 2023, Thessaloniki, Greece) and ECIR 2024 (24-28
March 2024, Glasgow, Scotland). So, at least one lab representative should
attend these events.

Advertising at CLEF 2023 will consist of displaying a poster describing the
new lab, running a break-out session to discuss the lab with prospective
participants, and advertising/announcing it during the closing session.

Advertising at ECIR 2024 will consist of submitting a lab description to be
included in ECIR 2024 proceedings (11 October 2023) and advertising the lab
in a booster session during ECIR 2024.

Mentorship Program for Lab Proposals from newcomers

CLEF 2019 introduced a mentorship program to support the preparation of lab
proposals for newcomers to CLEF. The program will be continued at CLEF 2024
and we encourage newcomers to refer to Friedberg et al. (2015) for initial
guidance on preparing their proposal:

Friedberg I, Wass MN, Mooney SD, Radivojac P. Ten simple rules for a
community computational challenge. PLoS Comput Biol. 2015 Apr
23;11(4):e1004150.

The CLEF newcomers mentoring program offers help, guidance, and feedback on
the writing of your draft lab proposal by assigning a mentor to you, who
help you in preparing and maturing the lab proposal for submission. If your
lab proposal falls into the scope of an already existing CLEF lab, the
mentor will help you to get in touch with those lab organisers and team up
forces.

Lab proposals for mentorship must be submitted at the following address:

https://easychair.org/conferences/?conf=clef2024

choosing the ?CLEF 2024 Lab Mentorship? track.

Important Dates

   -

   29 May 2023: Requests for mentorship submission (only newcomers)
   -

   29 May 2023 - 16 June 2023: Mentorship period
   -

   7 July 2023: Lab proposals submission (newcomers and veterans)
   -

   28 July 2023: Notification of lab acceptance
   -

   18-21 Sep 2023: Advertising Accepted Labs at CLEF 2023, Thessaloniki,
   Greece
   -

   11 October 2023: Submission of short lab description for ECIR 2024
   -

   13 November 2023: Lab registration opens
   -

   24-28 March 2024: Advertising labs at ECIR 2024, Glasgow, UK

CLEF 2024 Lab Chairs

   -

   Petra Galuscakova, University of Stavanger, Norway
   -

   Alba Garc?a Seco de Herrera, University of Essex, UK

CLEF 2024 Lab Mentorship Chair

   -

   Liana Ermakova, Universit? de Bretagne Occidentale, France
   -

   Florina Piroi, TU Wien, Austria
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From georgeangelos60 at gmail.com  Mon Jun 12 07:39:37 2023
From: georgeangelos60 at gmail.com (georgeangelos60 at gmail.com)
Date: Mon, 12 Jun 2023 14:39:37 +0300
Subject: Connectionists: 19th IEEE eScience Conference (eScience 2023): Last
	Mile for Paper Submission
Message-ID: <PIJAX58H-8VUB-RKL3-7I42-CH31QWD2W8J@gmail.com>

*** Last Mile for Paper Submission ***

19th IEEE eScience Conference (eScience 2023)

October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus

https://www.escience-conference.org/2023/

(*** Submission Deadline Extension: June 19, 2023, AoE, FIRM!)


eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of
eScience applications and enabling IT technologies. Its objective is to promote and encourage
all aspects of eScience and its associated technologies, applications, algorithms, and tools,
with a strong focus on practical solutions and open challenges. The conference welcomes
conceptualization, implementation, and experience contributions enabling and driving
innovation in data- and compute-intensive research across all disciplines, from the physical
and biological sciences to the social sciences, arts, and humanities; encompassing artificial 
intelligence and machine learning methods; and targeting a broad spectrum of architectures, 
including HPC, Cloud, and IoT.

The overarching theme of the eScience 2023 conference is ?open eScience?. This year, the
conference is promoting four additional key topics:
? Computational Science for sustainable development
? FAIR
? Research Infrastructures for eScience
? Continuum  Computing: Convergence between Cloud Computing and the Internet of Things
(IoT)

The conference is soliciting two types of contributions:
? Full papers (10 pages) presenting previously unpublished research achievements or
eScience experiences and solutions
? Posters (2 pages) showcasing early-stage results and innovations

Submitted papers should use the IEEE 8.5?11 manuscript guidelines: double-column text
using single-spaced 10-point font on 8.5?11-inch pages. Templates are available from
http://www.ieee.org/conferences_events/conferences/publishing/templates.html .

Submissions should be made via the Easy Chair system using the submission link:
https://easychair.org/conferences/?conf=escience2023 .

All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for
an oral presentation. Accepted posters will be presented during a poster reception. Accepted
full papers and poster papers will be published in the conference proceedings. Rejected full 
papers can be re-submitted for a poster presentation. At least one author of each accepted 
paper or poster must register as an author at the full registration rate. Each author registration
can be applied to only one accepted submission.


AWARDS

eScience 2023 will host the following awards, which will be announced at the conference.
? Best Paper Award
? Best Student Paper Award
? Best Poster Award
? Best Student Poster Award
? Outstanding Early Career Contribution ? this award is associated with poster submissions
and short presentations of attendees in their early career phase (i.e., postdoctoral researchers
and junior scientists).


KEY DATES

? Paper Submissions Due: June 19, 2023 (AoE) (FIRM!)
? Notification of Paper Acceptance: July 10, 2023
? Poster Submissions due: July 7, 2023 (AoE)
? Poster Acceptance Notification: July 24, 2023
? All Camera-ready Submissions due: August 14, 2023
? Author Registration Deadline: August 14, 2023


ORGANISATION

General Chair
? George Angelos Papadopoulos, University of Cyprus, Cyprus

Technical Program Co-Chairs
? Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA
? Rosa Filgueira, University of St Andrews, UK

Organisation Committee
https://www.escience-conference.org/2023/organizers

Steering Committee
https://www.escience-conference.org/about/#steering-committee

Email contact: Technical-Program at eScience-conference.org
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From Pavis at iit.it  Mon Jun 12 07:57:22 2023
From: Pavis at iit.it (Pavis)
Date: Mon, 12 Jun 2023 11:57:22 +0000
Subject: Connectionists: 4 PHD POSITIONS on Computational Vision at PAVIS -
 IIT Italy & University of Genoa, Italy [Jobs]
In-Reply-To: <ec57e1957d054206b1244c5f413ab7f8@iit.it>
References: <4f98593862ae43fd887f7039be1caa4f@iit.it>,
 <395419cefcc14ca6a30e291022c9e747@iit.it>,
 <41e117445308446daf453cb75417a9b8@iit.it>,
 <73a6ba59aea340d690d71960a7b39a44@iit.it>,
 <5f17afad3dfd40ac909a2f65a764b76e@iit.it>,
 <3c6c832fca074bd89dbc58bcd0efeae0@iit.it>,
 <6eee46f7c8304014b9a8564460383094@iit.it>,
 <f41107cd3cc044368ed679362aa2695d@iit.it>,
 <ec57e1957d054206b1244c5f413ab7f8@iit.it>
Message-ID: <057ba26dd7d34555bddcf639382450db@iit.it>

4 PHD POSITIONS ON COMPUTATIONAL VISION AT IIT ? PAVIS IN COLLABORATION WITH UNIVERSITY OF GENOA, ITALY

The Italian Institute of Technology ? IIT, www.iit.it ? in collaboration with University of Genoa ?https://unige.it/en ? funds 4 PhD scholarships on Computational Vision, Automatic Recognition and Learning.
Research and training activities are jointly conducted between the DITEN Department of University of Genova http://phd-stiet.diten.unige.it/ and IIT infrastructures in Genoa,
at the PAVIS - Pattern Analysis and Computer Vision Research line https://pavis.iit.it/ led by its Principal Investigator, Alessio Del Bue.
?
RESEARCH TOPICS:
Theme A: 3D scene understanding with geometrical and deep learning reasoning
Theme B: Multi-modal learning
Theme C: Self-Supervised and Unsupervised Deep Learning
Theme D: Generative models for human and scene generation
Theme E: Novel Graph Operators for learning on large-scale and temporal data
Theme F: Domain adaptation and Generalization
More detailed information on the specific themes and indication of supervisors, at
https://pavisdata.iit.it/data/phd/2023_2024_ResearchTopicsPhD_IIT-PAVIS.pdf

PAVIS
The PhD program on the listed topics will take place at the PAVIS research line of IIT located in Genova (www.iit.it).
The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, also in collaboration with other research groups at IIT.
PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (related to assistive and monitoring AI systems).
For more information, you can also browse the PAVIS webpage http://pavis.iit.it/ to see our activities and research.

Successful candidates will be part of an exciting and international working environment and will work in brand new laboratories equipped with state-of-the-art instrumentation.
Excellent communication skills in English, as well as ability to interact effectively with members of the research team, are mandatory.

HOW TO APPLY
Full information, official call and course description are available at?? ?
ITALIAN https://unige.it/usg/it/dottorati-di-ricerca
ENGLISH https://unige.it/en/usg/en/phd-programmes

Official call: https://unige.it/sites/unige.it/files/2023-06/BANDO%2039%20CICLO%20-%20EN.pdf
Course description for XXXIX Phd Course in Science and Technology for Electronic and Telecommunication Engineering, curriculum in Computer Vision, Automatic Recognition and Learning (CODE 9954)
is at page 172-173 of the list of PhD programmes in ENGLISH: https://unige.it/sites/unige.it/files/2023-06/ANNEX_A_XXXIX%20-%20EN.pdf
and at page 166-167 of the ITALIAN https://unige.it/sites/unige.it/files/2023-06/DR_2723_bando%20dottorato%20XXXIX%20ciclo-11-216.pdf

Follow the steps listed:
1. Choose the programme
2. Review the application
3. Apply here https://servizionline.unige.it/studenti/post-laurea/dottorato/domanda
following the detailed instructions: https://unige.it/sites/contenuti.unige.it/files/documents/Guida_eng_XXXVIII.pdf

WHAT TO SUBMIT
A detailed CV, a research proposal under one or more topics chosen among those above indicated, reference letters, and any other formal document concerning the degrees earned.
Notice that these documents are mandatory in order to consider valid the application.
Refer also to the indications stated at pg. 172 (English version) or pg. 166 (Italian version) of the course description document, above mentioned.

IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned.
Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf
For FURTHER INFORMATION on the research topics contact Dr. Del Bue at pavis at iit.it

DEADLINE
Deadline for application July 10th 2023 at 12 PM - Noon (CET)
STRICT DEADLINE, NO EXTENSION.
Apply before deadline, the application process is not immediate: don?t wait for the final day.





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From Samuel.Neymotin at nki.rfmh.org  Mon Jun 12 13:54:49 2023
From: Samuel.Neymotin at nki.rfmh.org (Neymotin, Samuel (NKI))
Date: Mon, 12 Jun 2023 17:54:49 +0000
Subject: Connectionists: computational neuroscience postdoc position
Message-ID: <BLAPR09MB6657FD5CC7BA0955B6272D2ED354A@BLAPR09MB6657.namprd09.prod.outlook.com>

A postdoctoral scientist position is available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org<https://www.nki.rfmh.org/>) to work on computational neuroscience research funded by recently awarded grants.


Our NIH-funded project investigates the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI (Noelle O?Connell, Charlie Schroeder) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies testable in vivo.


Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research.


To apply, email a CV and cover letter to Sam Neymotin (samuel.neymotin at nki.rfmh.org). NKI is an equal opportunity employer. The position requires presence at NKI (Orangeburg, New York), with part-time telecommuting possible.


________________________________

IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.
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From k.bunte at rug.nl  Tue Jun 13 04:37:28 2023
From: k.bunte at rug.nl (Kerstin Bunte)
Date: Tue, 13 Jun 2023 10:37:28 +0200
Subject: Connectionists: [JOBS] Post-doc @ Bernoulli Institute for
 Mathematics,
 Computer Science and Artificial Intelligence at the University of Groningen,
 the Netherlands.
Message-ID: <6559a6ac-dcbf-272b-85df-30da34587c76@rug.nl>

Postdoctoral researcher position in mechanistic machine learning
https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S000A6WP

Closing date = 2-8-2023

We offer a postdoctoral researcher position within the Bernoulli 
Institute for Mathematics, Computer Science and Artificial Intelligence 
at the University of Groningen, The Netherlands. The position is funded 
by an NWO Vidi project named ?mechanistic machine learning: combining 
the explanatory power of dynamic models with the predictive power of 
machine learning?.

Systems of Artificial Intelligence (AI) and Machine Learning (ML) gained 
a tremendous amount of interest in recent years, demonstrating great 
performance for a wide variety of tasks, but typically only if they are 
trained on huge amounts of data. Moreover, frequently no insight into 
the decision making is available or required. Experts desire to know how 
their data can inform them about the natural processes being measured. 
Therefore we develop transparent and interpretable model- and 
data-driven hybrid methods that are demonstrated for applications in 
medicine and engineering.

As a postdoc, you will work together with Kerstin Bunte and her team 
within the Intelligent Systems group, as well as a network of 
interdisciplinary collaborators in the UK and Europe from various 
fields, such as Computer Science, Engineering and Applied Mathematics.

The successful applicant has:
 ?? - a PhD degree in computer science, applied mathematics, engineering 
or other relevant fields.
 ?? - a keen interest in at least one of the following topics: machine 
learning (Bayesian methods), dynamic systems (differential equations), 
information -theory and/or applied mathematics, such as system 
identification, structural identifiability, model reduction or sampling 
techniques
 ?? - a working proficiency in English (knowledge of the Dutch language 
is not required).

About the University of Groningen
Since its foundation in 1614, the University of Groningen has enjoyed an 
international reputation as a dynamic and innovative center of higher 
education offering high-quality teaching and research. Balanced study 
and career paths in a wide variety of disciplines encourage currently 
more than 37,000 students and researchers to develop their own 
individual talents. Belonging to the best research universities in 
Europe and the top 100 universities in the world, the University of 
Groningen is truly an international place of knowledge.

The Intelligent Systems (IS) group is embedded in the Bernoulli 
Institute within the Faculty of Science and Engineering. The Bernoulli 
Institute conducts research combining theoretical as well as practical 
aspects of three disciplines, namely (Applied) Mathematics, Computer 
Science and Artificial Intelligence. It is a vibrant community with an 
international outlook, which fosters talent in all its research areas 
and disciplines and is active in pure and applied science, and 
(multi)disciplinary research and teaching.

More information can be found at: 
https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S000A6WP

-- 
Kerstin Bunte, Associate Professor | Rosalind Franklin Fellow
Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
Faculty of Science and Engineering
University of Groningen
P.O. Box 407, 9700 AK Groningen
The Netherlands

Email: k.bunte at rug.nl
Phone: +31 (0)6 31921544
web: http://www.cs.rug.nl/~kbunte/


From vito.trianni at istc.cnr.it  Tue Jun 13 04:47:06 2023
From: vito.trianni at istc.cnr.it (Vito Trianni)
Date: Tue, 13 Jun 2023 10:47:06 +0200
Subject: Connectionists: [jobs] post-doc position on hybrid collective
 intelligence - ISTC-CNR, Rome, Italy
Message-ID: <B2FB8A7A-F4B0-42CD-B14E-25EFAB6FF439@istc.cnr.it>

A fixed-term research position is open for a post-doc, or for a PhD student nearing the end of his doctoral program. 
The goal of the research is to study hybrid collective intelligence systems for decision support in complex open-ended problems. 
It involves the design and implementation of a hybrid collective intelligence system to exploit the interaction between human experts and artificial agents based on knowledge graphs and ontologies for knowledge representation, integration and reasoning.

DEADLINE for application is on June the 26th. 
For more details, see https://www.linkedin.com/jobs/view/3629301264/ 

The research is conducted within the Italian Foundational AI research project FAIR (Future AI Research, https://future-ai-research.it). 
Within this context, several research positions are open at the ISTC-CNR: https://www.istc.cnr.it/en/media/news/eight-open-calls-fair-project


========================================================================
Vito Trianni, Ph.D.					vito.trianni@(no_spam)istc.cnr.it
ISTC-CNR						http://www.istc.cnr.it/people/vito-trianni
Via San Martino della Battaglia 44		Tel: +39 06 44595277
00185 Roma						Fax: +39 06 44595243
Italy
========================================================================



From yaser.amd at gmail.com  Mon Jun 12 10:52:35 2023
From: yaser.amd at gmail.com (Yaser Jararweh)
Date: Mon, 12 Jun 2023 17:52:35 +0300
Subject: Connectionists: CBDCom 2023 CFP:The 9th IEEE International
 Conference on Cloud and Big Data Computing, 14-17 Nov, 2023 - Abu Dhabi, UAE
Message-ID: <CAHE3fiYrqpjUpGv7V_ZRfbX+wFLjOKJihqHrcXZnjShrFO=v3g@mail.gmail.com>

The 9th IEEE International Conference on Cloud and Big Data Computing
(CBDCom 2023)

https://icnetlab.org/cyber-science2023/cbdcom/index.html

14-17 Nov, 2023 - Abu Dhabi, UAE

*CBDCom CFP:*

The IEEE International Conference on Cloud and Big Data Computing is a
premier forum for researchers, practitioners and developers who are
interested in cloud computing and big data to explore new ideas, techniques
and tools, as well as to exchange experience. Besides the latest research
achievements, the conference covers also innovative commercial data
management systems, innovative commercial applications of cloud computing
and big data technology, and experience in applying recent research
advances to real-world problems

IEEE CBDCom 2023 will be the 9th edition of the conference after the
success of CBDCom 2015 in Beijing, CBDCom 2016 in Toulouse, CBDCom 2017 in
San Francisco, CBDCom 2018 in Guangzhou, CDBCom 2019 in Fukuoka, CDBCom
2020 in Calgary, and CDBCom 2021 held virtually. It will continuously offer
a platform for researchers to exchange novel studies, discuss important
issues and explore key challenges in innovative cloud and big data for a
smarter world. IEEE CBDCom 2023 will be held during November 13-17, 2023,
co-located with IEEE CyberSciTech 2023, IEEE PICom 2023, and IEEE DASC
2023. It aims to bring together computer scientists, engineers and
researchers from academia and industry to discuss and exchange experimental
and theoretical results, work-in-progress, novel designs, and future trends
in cloud and big data innovations.

*CBDCom Tracks:*

*Track 1: Data Science & Analytics*

*Track 2: Big Data Infrastructure & Management *

*Track 3: Big Data Tools and Applications *

*Track 4: Cloud Management & Virtualization *

*Track 5: Cloud/Big Data Security, Privacy & Trust *

*Track 6: Cloud/Big Data for IoT & Smart City *





*Paper Submission Information:*

*For original papers in: *
Regular Tracks: *6-8 *pages
WiP/Workshop/Special Session Tracks: *4-6 *pages
Poster Track: *2-4 *pages

Authors are invited to submit their original research work that has not
previously been submitted or published in any other venue. Regular,
work-in-progress (WiP), workshop/special session, and poster papers need to
be submitted via Easychair (
https://easychair.org/conferences/?conf=dascpicomcbdcomcyber0).

Papers should be prepared in IEEE CS Proceedings format. IEEE formatting
information:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html

All accepted papers in the main tracks, workshops, special sessions and
demos/posters will be published in an IEEE Computer Society proceedings
(IEEE-DL and EI indexed). Best Paper Awards will be presented to high
quality papers. Selected papers will be recommended to prestigious
journal *Special
Issues <https://icnetlab.org/cyber-science2023/special-issues/index.html>*.

Some papers originally submitted as full papers can be accepted as short
papers or posters during the review process. In such cases, the authors
will need to reduce the paper accordingly when preparing the camera-ready
version. At least one of the authors of any accepted paper is requested to
register and present the paper at the conference.

 *Important dates*

*Main Conference Papers *
Paper Submission Due: 1 July, 2023
Authors Notification: 15 September, 2023
Camera-ready Submission: 30 September, 2023

*Workshop/Special Session Papers *
Submission Due: July 15, 2023
Author Notification Due: September 15, 2023
Camera-ready Submission: September 30, 2023

*Contacts Information:*

If you have any questions about CBDCom, please contacts the Chairs, Feras
Awaysheh (feras.awaysheh at ut.ee) and Yaser Jararweh (yijararweh at just.edu.jo)
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From er.anubajaj at gmail.com  Mon Jun 12 13:39:19 2023
From: er.anubajaj at gmail.com (Anu Bajaj)
Date: Mon, 12 Jun 2023 17:39:19 +0000
Subject: Connectionists: Call for Book Chapters: Computational Intelligence
 based Hyperspectral Image Analysis, Springer (Scopus Indexed)
Message-ID: <CANaC68D3JofvF00mkvDW-qCVAVD9MF2K4=6kDfYFGf3C9-HDKQ@mail.gmail.com>

Dear Colleagues

We cordially invite researchers and scientists working in hyperspectral
image analysis all around the globe to participate and submit their
research work to contribute to our book titled "Computational Intelligence
based Hyperspectral Image Analysis".

It would help if you could let us know the tentative title of your
contribution within 10 days of receiving this mail so that we can plan /
structure the table of contents of the book.

Submission link: https://forms.gle/owMZQys1yd6zXtkMA

Scope of the Book:
--------------------
Computational Intelligence (CI) based hyperspectral image analysis has
gained significant importance in recent years due to its ability to extract
valuable information from hyperspectral images and make predictions.
Hyperspectral images provide a rich source of information about the
composition and properties of objects in the environment. However, the vast
amount of data generated by hyperspectral images can be overwhelming and
hard to analyze. With their ability to provide valuable insights and
improve decision-making, Computational Intelligence techniques act as a
powerful tool that aids in automatic analysis and improves accuracy. Recent
advances in the field have provided new and exciting ways to employ
CI-based hyperspectral image analysis in many diverse applications.

The book aims to showcase these latest achievements and novel approaches in
this field, focusing on their wide applications in agriculture, the
environment, defense, medical diagnostics, food and product inspection, and
mineral exploration. It will be an essential resource for those seeking to
deepen their understanding of how hyperspectral image analysis can combine
with computational intelligence techniques to solve specific tasks in
different application fields from a multidisciplinary perspective.

The topics include, but are not limited to:
---------------------------------------------
Hyperspectral Image Acquisition
Hyperspectral Image Enhancement
Hyperspectral Image Clustering
Hyperspectral Image Representation
Hyperspectral Image Restoration
Hyperspectral Image Filtering
Hyperspectral Image Classification
Hyperspectral Image Segmentation
Hyperspectral Image Retrieval and Indexing
Hyperspectral Image Compression
Spatial/Spectral Super-Resolution
Computational Imaging
Object Detection
Applications in Remote Sensing
Multispectral/Hyperspectral Image Processing: Band Selection,
Dimensionality Reduction, Compressive Sensing,
Sparse Representation, Image Registration/Matching, Image
Denoising/Destriping, Image Fusion/Pansharpening
Unsupervised Learning, Semi-supervised Learning, Transfer Learning, Deep
Learning on Hyperspectral Images
Real time Monitoring and applications


Important Dates:
---------------------
Full Chapter Submission Deadline               August 30, 2023
Final Notification of Acceptance                   October 15, 2023
Final Chapter Submission Deadline             November 15, 2023


Publisher Details:
----------------------
This book will be published in the Springer Series "Intelligent Systems
Reference Library" (Electronic ISSN: 1868-4408, Print ISSN: 1868-4394)

Indexed by: SCOPUS, SCImago, DBLP, zbMATH, Norwegian Register for
Scientific Journals and Series


Submission Guidelines:
----------------------
The length of a book chapter should be between 20 and 30 pages.
Chapters must be formatted according to Springer format (Latex or Word).
The manuscript should be submitted in Word or Latex files.
The plagiarism rate should be less than 15%.
The figure should not have any copyright issues; either it can be redrawn
or a copyright certificate should be obtained.

There is no processing or publication charge for this book.


More details on https://sites.google.com/view/cihia2023/home


-----
Best Regards
Editors:
Ajith Abraham, Flame University, Pune, India; Machine Intelligence Research
Labs (MIR Labs), USA
Anu Bajaj, Thapar Institute of Engineering and Technology, Patiala, Punjab,
India
Jyoti Maggu, Thapar Institute of Engineering and Technology, Patiala,
Punjab, India

Information contact: Anu Bajaj (er.anubajaj at gmail.com)
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From marcella.cornia at unimore.it  Tue Jun 13 10:00:07 2023
From: marcella.cornia at unimore.it (Marcella Cornia)
Date: Tue, 13 Jun 2023 16:00:07 +0200
Subject: Connectionists: [CFP] AI4DH: Artificial Intelligence for Digital
 Humanities Workshop (in conjunction with ICIAP 2023)
Message-ID: <CAKknQqp5KH3cnrFAxky0UhiaN2j5PJH-BGpJq5Z2qxBUkKLf1w@mail.gmail.com>

********************************

Call for Papers

?AI4DH: Artificial Intelligence for Digital Humanities?

International Workshop at ICIAP 2023
https://sites.google.com/view/ai4dh2023

********************************


=== SUBMISSIONS ARE OPEN!!! ====

Apologies for multiple posting

Please distribute this call to interested parties



AIMS AND SCOPE

===============

Researchers have explored the benefits and applications of modern
Artificial Intelligence (AI) algorithms in different scenarios. Digital
Humanities (DH) is a newly-emerging field that brings together humanities,
social, and computer scientists to work both on fundamental and applied
research in humanities. The large-scale cultural and societal implications
of these changes and the ethical questions that raise offer an important
challenge as techniques in Artificial Intelligence and Data Learning have
matured. Thus, there has been a wide range of computational tools, methods,
and models that have enabled humanities to conduct research at a scale once
thought impossible.

The goal of this workshop is to encourage and highlight novel strategies
and original research in applying Artificial Intelligence techniques in
digital humanities research such as data discovery, digital data creation,
management, data analytics (including text mining, image mining and data
visualization) in literature, linguistics, culture heritage, media, social
science, history, music and acoustics, and Artificial Intelligence for
Digital Humanities in pedagogy and academic curricula. This Workshop aims
not only to serve as a venue for presenting work in this area but also to
build a community and share information in this new field.


TOPICS

=======

The workshop calls for submissions addressing, but not limited to, the
following topics:


   -

   AI for Visual DH


   -

   Artworks cross-modal retrieval
   -

   AI for art generation
   -

   Automatic metadata extraction from artworks
   -

   AI for video analysis
   -

   AI for artistic images analysis



   -

   AI for DH Preservation and Enhancement


   -

   AI in virtual systems for education and tourism
   -

   AI in museums and cultural tourism
   -

   Museum and Service Robotics
   -

   Music and visual art-induced emotion recognition
   -

   Automatic storytelling of art



   -

   Fundation AI Applications to DH


   -

   AI in digital cultural content/object analysis
   -

   AI in content?based classification and retrieval
   -

   AI in Semantics and Knowledge Representation
   -

   Intelligent methods in Spatial and Temporal Analysis
   -

   Intelligent crowdsourcing approaches



   -

   AI & Extended reality (XR) for DH
   -

      XR platforms for Education purposes and edu-/infotainment
      -

      XR interfaces for Cultural Heritage dissemination
      -

      Collaborative XR interfaces
      -

      Metaverse, Avatars, Agents and NFT
      -

      Ethics & social implications



IMPORTANT DATES

=================

   -

   Paper Submission Deadline: June 23th, 2023
   -

   Decision to Authors: July 21th, 2023
   -

   Camera ready papers due: July 21th, 2023
   -

   Workshop date: September 11th, 2023



SUBMISSION GUIDELINES

======================

All the papers should be submitted at:
https://cmt3.research.microsoft.com/ICIAPDHH2023, under the ?AI for Digital
Humanities (AI4DH)? track.

The maximum number of pages is 12 including references. Papers will be
selected through a double-blind review process, taking into account
originality, significance, clarity, soundness, relevance and technical
contents.

Authors can find complete instructions of how to format their papers at
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
Accepted papers will be included in the ICIAP 2023 Workshop Proceedings,
which will be published by Springer in the Lecture Notes in Computer
Science series (LNCS).

Each accepted paper must be covered by at least one registered author.
Registration can be either for the full event at a regular rate or just for
workshops and tutorials.


WORKSHOP MODALITY

====================

The workshop will be held in conjunction with the International Conference
on Image Analysis and Processing (ICIAP 2023).


ORGANIZING COMMITTEE

======================

   -

   Lorenzo Baraldi, University of Modena and Reggio Emilia, Italy
   -

   Silvia Cascianelli, University of Modena and Reggio Emilia, Italy
   -

   Marcella Cornia, University of Modena and Reggio Emilia, Italy
   -

   Francesca Matrone, Politecnico di Torino, Italy
   -

   Marina Paolanti, University of Macerata, Italy
   -

   Roberto Pierdicca, Universit? Politecnica delle Marche, Italy



-- 
*Marcella Cornia*, PhD
Tenure-Track Assistant Professor (RTD-B)
Dipartimento di Educazione e Scienze Umane
Universit? degli Studi di Modena e Reggio Emilia
e-mail: marcella.cornia at unimore.it
phone: +39 059 2058790
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From nagai.yukie at mail.u-tokyo.ac.jp  Tue Jun 13 23:39:07 2023
From: nagai.yukie at mail.u-tokyo.ac.jp (nagai.yukie at mail.u-tokyo.ac.jp)
Date: Wed, 14 Jun 2023 03:39:07 +0000
Subject: Connectionists: Call for Participation and Poster Submission:
 International Symposium on Predictive Brain and Cognitive Feelings (July
 19-20, Tokyo, Japan)
Message-ID: <B62F03B5-D9D2-4D16-A9B7-6E9DCC9DF2B0@mail.u-tokyo.ac.jp>

Dear colleagues,

It is my great pleasure to announce the International Symposium on Predictive Brain and Cognitive Feelings, which will be held at the University of Tokyo on July 19-20. You are cordially invited to attend it and give a poster presentation.

International Symposium on Predictive Brain and Cognitive Feelings
Place: Ito International Research Center, The University of Tokyo
Date: July 19 ? 20, 2023
https://cognitive-feeling.jp/en/events/symposium2023/
(Registration required)

= Aim and Scope =
The CREST project ?Cognitive Feelings that Mediate Between Perception and Emotion? (Period: 2021.10-2027.03, Director: Yukie Nagai) aims to elucidate the principle of cognitive feelings, which encompass subjective and metacognitive experiences related to perception and action. They involve sensations such as knowing, confidence, reality, fluency, and more, which are associated with a wide range of cognitive processes. Of great interest are the neural and bodily mechanisms underlying these subjective experiences. Does predictive processing in the brain contribute to these experiences? How do physiological states correspond to subjective feelings? 
This symposium aims to share the latest findings, exchange ideas, and foster collaborations in the relevant fields. We invite experts who study cognitive feelings and/or predictive processing in the brain. You all are cordially invited to attend it and give a poster presentation.

= Keynote Speakers =
Anil Seth (Professor, University of Sussex)
Ryan Smith (Research Associate Professor, The University of Tulsa)

= Invited Speakers =
Tom Froese (Assistant Professor, Okinawa Institute of Science and Technology Graduate University)
Tomoko Isomura (Associate Professor, Nagoya University)
Kenji Ogawa (Associate Professor, Hokkaido University)
Erhan Oztop (Professor, Ozyegin University / Specially Appointed Professor, Osaka University)
Alessandra Sciutti (Tenure Track Researcher, Italian Institute of Technology)
Sotaro Shimada (Professor, Meiji University)
Emre Ugur (Associate Professor, Bogazici University)
Satoshi Umeda (Professor, Keio University)
and more ?

= Registration & Poster Submission = 
Please register through ?REGISTRATION & POSTER SUBMISSION? in the following page. The deadline for poster submissions is July 10th. 

https://cognitive-feeling.jp/en/events/symposium2023/

We are looking forward to seeing many of you!

Best regards,
Yukie

?
Yukie Nagai, Ph.D.
Project Professor, The University of Tokyo
nagai.yukie at mail.u-tokyo.ac.jp | https://developmental-robotics.jp
CREST Cognitive Feelings: https://cognitive-feeling.jp
CREST Cognitive Mirroring: https://cognitive-mirroring.org



From henry.gouk at gmail.com  Tue Jun 13 20:00:37 2023
From: henry.gouk at gmail.com (Henry Gouk)
Date: Wed, 14 Jun 2023 01:00:37 +0100
Subject: Connectionists: CFP: ECML/PKDD Workshop on neuro-symbolic
	metalearning and AutoML
Message-ID: <CAOU__hN1gPgpdTUNLPBq2qDAT2m9-6a+mwuujxn1jnObjwsiUA@mail.gmail.com>

*ECML/PKDD Workshop on neuro-symbolic metalearning and AutoML*

This workshop explores different types of meta-knowledge, such as
performance summary statistics or pre-trained model weights. One way of
acquiring meta-knowledge is by observing learning processes and
representing it in such a way that it can be used later to improve future
learning processes. AutoML systems typically explore meta-knowledge
acquired from a single task, e.g., by modelling the relationship between
hyperparameters and model performance. Metalearning systems, on the other
hand, normally explore metaknowledge acquired on a collection of machine
learning tasks. This can be used not only for selection of the best
workflow(s) for the current task, but also for adaptation and fine-tuning
of a prior model to the new task. Many current AutoML and metalearning
systems exploit both types of meta-knowledge. Neuro-symbolic systems
explore the interplay between neural network-based learning and
symbol-based learning to get the best of those two types of learning. While
doing so, it tries to use the existing knowledge as a concrete symbolic
representation or as a transformed version of the symbolic representation
suited for the learning algorithm. The goal of this workshop is to explore
ways in which ideas can be cross-pollinated between the AutoML/Metalearning
and neuro-symbolic learning research communities. This could lead to, e.g.,
systems with interpretable meta-knowledge, and tighter integration between
machine learning workflows and automated reasoning systems.

Main research areas:

   - Controlling the learning processes
   - Definitions of configuration spaces
   - Few-shot learning
   - Elaboration of feature hierarchies
   - Exploiting hierarchy of features in learning
   - Meta-learning
   - Conditional meta-learning
   - Meta-knowledge transfer
   - Transfer learning
   - Transfer of prior models
   - Transfer of meta-knowledge between systems
   - Symbolic vs subsymbolic meta-knowledge
   - Neuro-symbolic learning
   - Explainable and interpretable meta-learning
   - Explainable artificial intelligence

Confirmed invited speakers include:

   - Artur d?Avila Garcez
   <https://www.city.ac.uk/about/people/academics/artur-davila-garcez>,
   City University of London, UK
   - Bernhard Pfahringer
   <https://profiles.waikato.ac.nz/bernhard.pfahringer>, University of
   Waikato, New Zealand

Deadline: 26 June
Website: https://janvanrijn.github.io/metalearning/2023ECMLPKDDworkshop

Best,
Workshop Chairs
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From stevensequeira92 at hotmail.com  Tue Jun 13 11:15:46 2023
From: stevensequeira92 at hotmail.com (steven gouveia)
Date: Tue, 13 Jun 2023 15:15:46 +0000
Subject: Connectionists: 2nd rTAIM Seminar - 21 June, 14h30-16h, via Zoom
In-Reply-To: <DU2P192MB2203B5646959185FB7694C2AD655A@DU2P192MB2203.EURP192.PROD.OUTLOOK.COM>
References: <DU2P192MB2203EEA881A29A198514DE86D6789@DU2P192MB2203.EURP192.PROD.OUTLOOK.COM>
 <DU2P192MB220396E97D45BCFA9D0ACD58D653A@DU2P192MB2203.EURP192.PROD.OUTLOOK.COM>
 <DU2P192MB2203B5646959185FB7694C2AD655A@DU2P192MB2203.EURP192.PROD.OUTLOOK.COM>
Message-ID: <DU2P192MB220325298BEE01E5D8916CC6D655A@DU2P192MB2203.EURP192.PROD.OUTLOOK.COM>

Dear All,

I'm happy to share the details for the 2nd rTAIM Monthly Seminar focused on the Ethics of Artificial Intelligence in Medicine in a broad sense. This second seminar will be focused on AI in Medicine and Healthcare Delivery.

Date: 21 June 2023 | 14h30 - 16h (Lisbon Time Zone)
Speaker: Karim Zaouaq (University of Fez)

Title: Artificial Intelligence in Medicine: Reflecting on Responsibility in Healthcare Delivery?

Seminar #2: With the development of artificial intelligence techniques, in particular robotics and algorithms, the challenge is to know who is responsible for what when any infringement of the most fundamental patient rights occurs. Mistakes, inaccuracies, and data breaches are some examples of the issues that can arise with the use of AI in the field of healthcare, which can have devastating consequences on patients? health. In this context, the main principles of ethics, namely those of autonomy, beneficence, non-maleficence, and justice, can be used to promote responsible artificial intelligence in the medical field. But this is not enough to make medical practitioners accountable for their acts. Furthermore, the rapid evolution of the applications of artificial intelligence in medicine exceeds the capacity of legislators, which raises questions about the way in which the law must adapt to meet the new challenges posed by these technologies, the form of responsibility that should prevail, as well as to the role that ethics committees can play in this context. In order to address these questions, this presentation will reflect on the rights of patients, the duties of medical professionals, and the obligations of AI services suppliers. It will also attempt to highlight the need for algorithmic transparency, privacy, and protection of patient rights and autonomy, alongside balancing between performing AI service and the ability of professionals to take accurate decisions.

Short bio: Karim Zaouaq is an Assistant professor of Public Law at the Faculty of Law, Sidi Mohamed Ben Abdellah University of Fez. He has attended several national and international scientific conferences and has published many review articles, research papers, and books. His main fields of interest include bioethics and human rights.

To attend and register: send an email to stevensequeira92 at hotmail.com with the subject "2nd rTAIM Seminar" and the Zoom info will be sent directly; free and open to everyone.

More info on the Seminars: https://trustaimedicine.weebly.com/rtaim-seminars.html

Thank you very much,

Steven S. Gouveia


Ph.D. (University of Minho)

ex-PostDoc Fellow (Uni. Ottawa) & CEFH (Portuguese Catholic Uni.)

Research Fellow (2023-2029) Mind, Language & Action Group (Uni. Porto)

https://stevensgouveia.weebly.com<https://stevensgouveia.weebly.com/>

(Books, papers, talks, etc)
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From emmanuel.vincent at inria.fr  Wed Jun 14 02:24:56 2023
From: emmanuel.vincent at inria.fr (Emmanuel Vincent)
Date: Wed, 14 Jun 2023 08:24:56 +0200
Subject: Connectionists: Fully funded PhD position on multimodal speech
 anonymization, Inria, France
Message-ID: <be4966ae-6c57-aa6f-e154-6e6f03e35c7a@inria.fr>

Dear list,

Please forward to anyone interested.

Inria is opening a fully funded PhD position on multimodal speech 
anonymization. For details and to apply, see:
https://jobs.inria.fr/public/classic/en/offres/2023-06410

Applications will be reviewed on a continuous basis until July 2.

Best,

-- 
Emmanuel Vincent
Senior Research Scientist & Head of Science
Inria Nancy - Grand Est
+33 3 8359 3083 - http://members.loria.fr/evincent/

From stm at socio.org.uk  Wed Jun 14 03:30:09 2023
From: stm at socio.org.uk (stm socio.org.uk)
Date: Wed, 14 Jun 2023 07:30:09 +0000
Subject: Connectionists: Real-Time Intelligent Systems 2023
Message-ID: <LO2P302MB0247A54F283C84D8546AC6558D5AA@LO2P302MB0247.GBRP302.PROD.OUTLOOK.COM>

CALL FOR PAPERS

Fifth International Conference on Real-Time Intelligent Systems (RTIS 2023)
October 09-11, 2023
University of Bedfordshire, Luton. UK
(Hybrid mode- Physical/Virtual)
www.socio.org.uk/rtis

Lecture Notes in Networks and Systems by Springer
https://www.springer.com/series/15179

Earlier conferences took place in Taipei, Taiwan (2018); Casablanca, Morocco (2017); Beijing, China (2016). The 5th RTIS will take place at the University of Bedfordshire, UK.

Over the last few years, real-time intelligent computing has radically transformed the human lifestyle. Research on real-time intelligent systems is multi-disciplinary, exploiting concepts from diverse areas such as big data processing, computational intelligence, location-based services, recommendation systems, and multimedia processing. In today?s highly dynamic environment, analysing data in real-time is a must to understand how systems process data, reason the outputs, and anticipate trends in intelligent computing. To this end, this conference will serve as a platform to manifest the ongoing research in the field. Thus, RTIS welcomes theoretically grounded, methodologically sound papers that address aspects related to topics, such as:

Artificial Intelligence Techniques

Artificial Intelligence and Data mining
Streaming data, streaming engines
Trace-based intelligent real-time services
Adaptive vision algorithms
Location-based services
Intelligent Robotic Systems
Collaborative Intelligence
Processing Intelligent Databases

Data capture in real-time
Data quality and cleansing
Intelligent Data Analysis
Intelligent Database Systems
Big Data systems and applications for high-velocity data
Intelligent Information Systems
Privacy and Security in Intelligence
Software Engineering Solutions

Intelligent Soft Computing
Real-time multiprocessor systems
Internet of Things
Architectures for Intelligence
Real-time distributed coding
Smart services and platforms
Real-time modelling user information needs
Wireless Communication

Real-time intelligent communication
Real-time intelligent network solutions
Mobile Smart Systems
Broadband Intelligence
Cloud Computing and Intelligence
Collaborative Intelligence
Analysis in domains such as energy, sensors, Expert Systems
Smart Life Systems

Decision support systems in real time
Multi-agent Intelligent Systems
Multilingual information access
Recommendation systems
Real-time intelligent, alert systems
Real-time remote access systems
Intelligent Transportation Systems
Critical Real-Time Applications
Hybrid Intelligent Systems

Real-time noise removal systems
Event-driven analytics
Intelligent Fuzzy Systems
Machine translation in real time
OLAP for real-time decision support
Crowdsourcing and crowd intelligence
Submission, proceedings

Papers must be submitted online through OpenConf (https://www.socio.org.uk/rtis/paper-submission/). Author instructions and LaTex2e (preferred) and Word macro files are available on the submission page. Submitted papers should be within 14 pages (long papers) and eight pages (short ones), including figures, tables, and references. Authors of accepted papers are required to transfer their copyrights. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with full registration.

Springer will publish The proceedings in Lecture Notes in Networks and Systems.

Extended versions of the conference papers will be considered for publication in the below journals.

Journal of Computational Methods in Sciences and Engineering (JCMSE)
Future Internet
https://www.mdpi.com/journal/futureinternet
Data
https://www.mdpi.com/journal/data
(For Data and Future Internet, the discounted APC is applicable, which is 50%)
Journal of Digital Information Management
Journal of Intelligent Computing

Venue

The venue is the University of Bedfordshire, UK.

Important Dates

Full Paper Submission: July 20, 2023
Notification of Acceptance/Rejection: August 15, 2023
Registration Due:  September  15, 2023
Camera Ready Due: September 15, 2023
Workshops/Tutorials/Demos:  October  08, 2023
Main conference: October 09-11, 2023
Post-conference proceedings:  October  25, 2023

General Chairs

Ricardo Rodriguez-Jorge,  Jan Evangelista Purkyn? University ,  Czech Republic
Mart?n L?PEZ-NORES, University of Vigo, Spain

Program Chairs

Yao-Liang Chung, National Taiwan Ocean University, Taiwan
Pit Pichappan, Digital Information Research Labs, India

Workshop/Special Issues Chair

Ezendu Ariwa, University of Warwick, UK

www.socio.org.uk/rtis
Contact: stm at socio.org.uk
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From georgios.yannakakis at um.edu.mt  Wed Jun 14 05:50:24 2023
From: georgios.yannakakis at um.edu.mt (Georgios N Yannakakis)
Date: Wed, 14 Jun 2023 11:50:24 +0200
Subject: Connectionists: Computer Vision for Games and Games for Computer
 Vision (CVG) workshop @ BMVC 2023
In-Reply-To: <CAMttLtbqW4zkZRd1fWq15O=jKbsa_Su7P7Quof=1DW5WfAxNSg@mail.gmail.com>
References: <CAMttLtbqW4zkZRd1fWq15O=jKbsa_Su7P7Quof=1DW5WfAxNSg@mail.gmail.com>
Message-ID: <CALVFx476k68uac0Vd9c0pt=tJyCd=gqsWhWVUBTLsjWf3w0XLg@mail.gmail.com>

*** apologies for cross-postings ***

We are pleased to announce the* "Computer Vision for Games and Games for
Computer Vision (CVG)" workshop
<https://www.cvg2023.institutedigitalgames.com/>*, to be held on November
23, 2023, as part of the *British Machine Vision Conference (BMVC)
<https://bmvc2023.org/>* in Aberdeen, UK. We invite you to participate in
this workshop and contribute to bridging the gaps between computer vision
research and games engineering.

*Overview:*

The CVG workshop aims to foster collaboration and knowledge exchange
between the computer vision and games research communities, which have
traditionally operated independently. The symbiotic relationship between
video games and computer vision has been significant, with virtual worlds
serving as valuable sources of training data and testbeds for computer
vision models. Moreover, computer vision advancements have revolutionized
the creation and possibilities within artificial game worlds. However,
several research questions and technical challenges still remain
unaddressed in both fields.


*Tracks:*

We are accepting research papers for two main tracks in this workshop:


*1) Computer Vision for Games:*


   - CV applications for game-playing, game testing, and player modeling.
   - Data-driven CV techniques to enhance game graphics, animations, level
   design, and procedural content generation.
   - Human-Computer Interaction (HCI) through visual interfaces, including
   gestures, posture, gaze, etc.
   - Extended reality games (AR/VR/MR).
   - Synthetic data and media generation based on users' emotions,
   behavior, etc.
   - Enhancing real-time applicability of vision models integrated within
   games and game engines.


*2) Games for Computer Vision:*


   - Game worlds aiding data augmentation techniques.
   - Creation of rich game-based labeled datasets for object detection,
   segmentation, depth estimation, and flow estimation.
   - Ethics of game-based data collection and inference.
   - Forward modeling in and for games.
   - Generalization and robustness in vision models leveraging commercial
   games.
   - Unsupervised pre-training of image/video representations and world
   transition models from gameplay data.


*Submission Guidelines:*

Papers should follow the BMVC 2023 camera ready format and be a maximum of
9 pages (excluding references). The review process is double-blind,
emphasizing novel contributions. Please submit your papers via the Conference
Management Toolkit (CMT) <https://cmt3.research.microsoft.com/CVG2023> by
the submission deadline of August 28, 2023 (AOE). Accepted authors will be
notified by September 18, 2023, and the camera-ready version will be due by
October 1, 2023.


*Workshop Details:*
*Date:* November 23, 2023
*Location*: Aberdeen, UK
*Queries:* cvgworkshop at gmail.com


*Important Dates:*
*Submission Deadline:* August 28, 2023 (AOE)
*Author Notification:* September 18, 2023
*Camera Ready:* October 1, 2023


*Organizing Committee:*

   - Chintan Trivedi
   <https://scholar.google.com/citations?user=UVd3SBYAAAAJ&hl=en&oi=ao>
   (University of Malta)
   - Matthew Guzdial <http://guzdial.com/> (University of Alberta)
   - Konstantinos Makantasis
   <https://www.um.edu.mt/profile/konstantinosmakantasis> (University of
   Malta)
   - Tim Pearce
   <https://www.microsoft.com/en-us/research/people/t-timpearce/>
   (Microsoft Research)
   - Roberta Raileanu <https://rraileanu.github.io/> (Meta AI)
   - Marguerite deCourcelle
   <https://www.crunchbase.com/person/marguerite-decourcelle> (Blockade
   Games)
   - Nicu Sebe <http://disi.unitn.it/~sebe/> (University of Trento)
   - Julian Togelius <http://julian.togelius.com/> (New York University,
   modl.ai)
   - Georgios N. Yannakakis <https://yannakakis.net/> (University of Malta,
   modl.ai)


Join us in exploring the exciting possibilities that arise from the
convergence of computer vision and games engineering. We look forward to
your submissions and to engaging in stimulating discussions at the CVG
workshop.

CVG Workshop Organizing Committee

-- 

<https://www.um.edu.mt/>




Georgios N. Yannakakis | Professor


Director | Editor in Chief, IEEE Trans. on Games

Institute of Digital Games
20 Triq L-Esperanto

+356 2340 3510

<https://twitter.com/yannakakis>
<https://www.linkedin.com/in/georgios-n-yannakakis-67a5b05/>
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From serendipity.alvin at gmail.com  Wed Jun 14 08:12:47 2023
From: serendipity.alvin at gmail.com (Alvin Yue)
Date: Wed, 14 Jun 2023 20:12:47 +0800
Subject: Connectionists: International Conference on Blockchain (ICBC 2023)
Message-ID: <CAAEGQ1aE8eE4NmCGehE2PMgoWqSKLG9Y5WG7oAf1GhUH8LBA_Q@mail.gmail.com>

International Conference on Blockchain (ICBC 2023)

[Apologies if you receive multiple copies of this message]
Call For Papers
=============================================================================
CFP:  International Conference on Blockchain (ICBC 2023)
September 23 - 26, 2023, Honolulu, Hawaii, USA
[Submission Deadline: July 10]

http://blockchain1000.org/2023



>From the invention of blockchain (BC) concepts in 2008, with the
development of distributed data storage, point-to-point transmission,
consensus mechanism, encryption algorithm and so on, the blockchain
technology has been paid more and more attentions by all countries. At
present, the application of blockchain has been extended from the financial
field to the Internet of Things, intelligent manufacturing, supply chain
management, and many other fields. The blockchain is creating a new
technological innovation and industrial change on a global scale. We indeed
need creative thinking, long-term visions, and innovative methodologies to
respond to such a change.  The first International Conference on Blockchain
(ICBC 2018) was created in 2018 to promote research and application
innovations around the world in the field of blockchain. Part of the SCF
2018, ICBC 2018 was successfully held on June 25 - June 30, 2018, Seattle,
USA. Part of the SCF 2019, ICBC 2019 was successfully held on June 25 - 30,
2019, San Diego, USA. Part of the SCF 2020, ICBC 2020 and ICBC 2021 was
successfully held over the Internet. ICBC 2022 was successfully held on
December 10 - 14, 2022, Hawaii, USA. In 2023, we will celebrate our 2023
version of gathering, to strive to advance the largest international
professional forum on blockchain services.

ICBC 2023 is a member of Services Conference Federation (SCF). SCF 2023
will have the following 10 collocated service-oriented sister conferences:
2023 International Conference on Web Services (ICWS 2023), 2023
International Conference on Cloud Computing (CLOUD 2023), 2023
International Conference on Services Computing (SCC 2023), 2023
International Conference on Big Data (BigData 2023), 2023 International
Conference on AI & Mobile Services (AIMS 2023), and 2023 International
Conference on Metaverse (METAVERSE 2023), 2023 International Conference on
Internet of Things (ICIOT 2023), 2023 International conference on Cognitive
Computing (ICCC 2023), 2023 International Conference on Edge Computing
(EDGE 2023), and 2023 International Conference on Blockchain (ICBC 2023).

 As the founding member of the Services Conference Federation (SCF), the
first International Conference on Web Services (ICWS) was held in June 2003
in Las Vegas, USA. Meanwhile, the First International Conference on Web
Services - Europe 2003 (ICWS-Europe 2003) was held in Germany in October
2003. ICWS-Europe'03 is an extended event of the 2003 International
Conference on Web Services (ICWS 2003) in Europe. In 2004, ICWS-Europe was
changed to the European Conference on Web Services (ECOWS), which was held
at Erfurt, Germany.

Sponsored by Services Society and Springer, SCF 2018 and SCF 2019 were held
successfully in Seattle and San Diego, USA. SCF 2020 and SCF 2021 was held
successfully online and in Shenzhen, China. To celebrate its 20-year-old
birthday, SCF 2023 will be held on September 23 - 26, 2023, Honolulu
Hawaii, USA and Satellite Sessions in Sanya, Hainan, China.





==================
Important Dates
==================
Research Track/Application Track/Short Paper Track/Special Track:

Early-birds paper submission due: May 14, 2023

Review comments to Early-birds paper submission: June 14, 2023

Regular paper submission due: July 10, 2023

Review comments to Regular paper submssion: July 25, 2023

Camera ready manuscripts due: August 1, 2023

Conference dates: September 23 - 26, 2023


==================
Topics of interest include, but are not limited to
==================
- Development Platforms for Blockchain
- Fundamental Research for Blockchain
- Blockchain Standard Design
- Blockchain and Cloud Computing
- Blockchain and Big Data
- Blockchain and Internet of Things
- Blockchain and Next Generation Internet
- Blockchain and Encryption Algorithm
- Blockchain Platforms for Applications
- Blockchain Application Reference Architectures and Instances
- Blockchain Application in Financial Services: Digital currency, Asset
digitization, Smart securities
- Blockchain Application in Social Management: Digital Identity, Public
Utilities, Public welfare, Government management
- Blockchain Application in Supply Chain Management: Anti-fake and
Traceability, Smart contract, Logistics management
- Blockchain Application in Enterprise Management: Financial Management,
Business management process, Data management
- Blockchain Application in Intelligent Manufacturing: Industrial Internet
of Things, Intelligent manufacture and management
- Blockchain Application in Personal Service: Copyright protection, Legal
service, Education service
- Other Block Chain Applications and Solutions
- Blockchain business models and innovations
- Blockchain for Metaverse


==================
Paper Submission
==================
The Proceedings of ICBC 2023 will be published in the Lecture Notes in
Computer Science (LNCS) by Springer International Publishing AG. Currently
the Abstracting and Indexing services covered by Springer?s data feeds for
LNCS proceedings include Engineering Index EI (Compendex and Inspec
databases), DBLP, Google Scholar, IO-Port, MathSciNet, Scopus, and ZBlMath.
The Best Paper Awards will be sponsored by Springer, which is a leading
global scientific, technical and medical portfolio, providing researchers
in academia, scientific institutions and corporate R&D departments with
quality content through innovative information, products and services.

Extended versions of selected papers will be invited for special issues in
the Services Transactions on Internet of Things (STIOT), Services
Transactions on Big Data (STBD), Services Transactions on Services
Computing (STSC), Services Transactions on Cloud Computing (STCC),
International Journal of Web Services Research (JWSR), and International
Journal of Business Process Integration and Management (IJBPIM). JWSR is
indexed by SCI and EI.

All submitted manuscripts will be peer-reviewed by at least 3 program
committee members. Accepted and presented papers from all ICBC tracks will
appear in the conference proceedings.  Submitted Research Track and
Application Track manuscripts will be limited to 15 (LNCS Proceedings
style) pages and REQUIRED to be formatted using the LNCS Proceedings
template ( WORD , Latex ). Submitted Short Paper track manuscripts will be
limited to 8 (LNCS Proceedings style) pages. The authors can extend a
maximum of 2 pages for each paper but will have to pay extra fees for each
extra page. Unformatted papers and papers beyond the maximum page limit may
not be reviewed. Electronic submission of manuscripts (in PDF or Word
format) is required. Detailed instructions for electronic paper preparation
and submission, panel proposals, tutorial proposals, workshop proposals,
and review process can be found at conference site.

The Proceedings of ICBC 2023 will be published in the Lecture Notes in
Computer Science (LNCS) by Springer International Publishing AG. For all 10
collocated conferences of SCF 2023, the content of this proceedings volume
will be made freely accessible to anyone in the Springer?s digital library
after four years upon publication.

At least one author of each accepted paper is required to register to the
conference and present the paper. One Best Paper award and one Best Student
Paper award will be granted at ICBC 2023. The Best Paper Awards will be
sponsored by Services Society and Springer, which is a leading global
scientific, technical and medical portfolio, providing researchers in
academia, scientific institutions and corporate R&D departments with
quality content through innovative information, products and services. The
first author of the best student paper must be a full-time student.

Manuscripts submitted to the Research Track focusing on applications or
solutions  may be recommended to the Application Track or other tracks for
further consideration if the session slots are available.

ICBC 2023 Submission

ICBC 2023 Research Track:
https://edas.info/newPaper.php?c=30771&track=117349

ICBC 2023 Application and Industry Track:
https://edas.info/newPaper.php?c=30771&track=117348

ICBC 2023 Short Paper Track:
https://edas.info/newPaper.php?c=30771&track=117350



==================
Organizing Committee
==================
-General Chairs
--Prof. Shiping Chen, CSIRO Data61 & UNSW, Australia

-Program Chairs
Dr. Qin Wang, CSIRO Data61, Australia
Prof. Jun Feng, Huazhong University of Science and Technology, China

-Operations Committee
Dr. Jing Zeng, China Gridcom Co.,Ltd.
Dr. Yishuang Ning, Tsinghua University
Dr. Sheng He, Tsinghua University

-ICBC 2023 Program Committee
Dr., Roberto Di Pietro, Hamad Bin Khalifa University
Dr., Adel ElMessiry, USA
Dr., Xinxin Fan, IoTeX
Dr., Chao Li, Beijing Jiaotong University
Dr., Catalin Meirosu, Ericsson
Dr., Lei Xu, Kent State University
Dr., Rui Zhang, Institute of Information Engineering, Chinese Academy of
Sciences
Mr., Arnab Chatterjee, R3
Prof., Rudrapatna Shyamasundar, Indian Institute of Technology Bombay
Prof., Andreas Veneris, University of Toronto
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From info at incf.org  Wed Jun 14 11:03:18 2023
From: info at incf.org (INCF)
Date: Wed, 14 Jun 2023 17:03:18 +0200
Subject: Connectionists: Please share: Call for investigator-led session
	abstracts!
Message-ID: <CAOooz1dcr9woerd8LmVY9iNoJkWZXaaUKwsfXuaHymV5gtiE8Q@mail.gmail.com>

Hello!

INCF is looking for applications to investigator-led sessions at INCF
Assembly 2023! Please forward this email or share the following posts with
your community through your social media channels, newsletters, or other
communication streams:

*1. Retweet this post!
<https://twitter.com/INCForg/status/1668994420090306561?s=20>*

*2. Share this post on Twitter!*

*?Call to present at INCF Neuroinformatics Assembly 2023!?*

*Want to speak in investigator-led talks on FAIR neuroscience? INCF is
calling for abstracts! ?*



*? Abstract deadline: Jun 23Submit y*
*our abstract today: bit.ly/INCFAssembly2023ILPA
<http://bit.ly/INCFAssembly2023ILPA>*
*#FAIR #neuroscience #OpenScience*


*3. Share this post on your social media channel of choice!*

*?Call to present at INCF Neuroinformatics Assembly 2023!?*

*Want to speak in investigator-led talks on FAIR neuroscience? INCF is
calling for abstracts!*

*INCF's annual Assembly is a unique venue where neuroscience researchers,
tool developers, standards developers, and infrastructure providers can
meet with potential collaborators and hear about the latest advancements in
neuroinformatics and FAIR neuroscience.*

*Abstract deadline: Jun 23*

*Submit your abstract today: bit.ly/INCFAssembly2023ILPA
<http://bit.ly/INCFAssembly2023ILPA>*


Thanks for your help, and see you at Assembly!

/The INCF Team
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From d.kaufhold at fz-juelich.de  Wed Jun 14 10:32:02 2023
From: d.kaufhold at fz-juelich.de (Dorthe Kaufhold)
Date: Wed, 14 Jun 2023 16:32:02 +0200
Subject: Connectionists: Bernstein Conference 2023 - Deadline for
	contributed talks coming up
Message-ID: <be1445e2-897e-1a18-d06c-6c3b5949b95d@fz-juelich.de>

Deadline for contributed talks for the Bernstein Conference 2023 in Berlin is coming up

+++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks of the Bernstein Conference 2023 in Berlin. +++
____

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries.

www.bernstein-conference.de

____

IMPORTANT DATES

  *   Bernstein Conference: September 26 - 29, 2023
  *   Deadline for submission of abstracts to be considered for contributed talks: June 21, 2023
  *   Deadline for poster abstract submission: July 19, 2023

____

ABSTRACTS

We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI).
Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/

____

INVITED SPEAKERS

Keynote
Marlene Cohen (University of Chicago, USA)
Invited Talks
Tiago Branco (Sainsburry Wellcome Center, UK)
Stefano Fusi (Columbia University, USA)
Ann Kennedy (Northwestern University, USA)
Julija Krupic (University of Cambridge, UK)
Wiktor Mlynarski (Institute of Science and Technology, Austria / LMU Munich, Germany)
Adrien Peyrache (McGill University, Canada)
Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA)
Christopher Summerfield (University of Oxford and Deepmind, UK)
Julia Veit (Albert-Ludwigs-Univesit?t Freiburg, Germany)

____

CONFERENCE COMMITTEE

Robert G?tig (Conference Chair)
Tatjana Tchumatchenko (Program Chair)
Srdjan Ostojic (Program Vice Chair)
Anna Levina (Workshop Chair)
Maria Eckstein (Workshop Vice Chair)
& Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke.

____

For any further questions, please contact: bernstein.conference at fz-juelich.de


------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens,
Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
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From Thanveer.Shaik at usq.edu.au  Wed Jun 14 17:55:49 2023
From: Thanveer.Shaik at usq.edu.au (Thanveer Shaik)
Date: Wed, 14 Jun 2023 21:55:49 +0000
Subject: Connectionists: CFP (extended) - WI-IAT 2023 Conference
Message-ID: <SY6PR01MB82201AEEE787D82995C7BB27AC5AA@SY6PR01MB8220.ausprd01.prod.outlook.com>

[Apologies if you receive this more than once]
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
                                CALL FOR PAPERS (extended)
The 22nd IEEE/WIC International Conference on
Web Intelligence and Intelligent Agent Technology (WI-IAT)
26-29 October 2023 | Venice, Italy

    A hybrid conference with both online and offline modes

       Web Intelligence = AI in the Connected World

        Homepage: https://www.wi-iat.com/wi-iat2023/

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Full Papers Submission Deadline (extended): June 25, 2023 (Anywhere on Earth)
Workshops and Special Sessions Paper Submission: July 2, 2023 (Anywhere on Earth)

Sponsored By:
ACM-SIGAI
Web Intelligence Consortium (WIC)
IEEE Computer Society Technical Committee on Intelligent Informatics (TCII)

The 2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'23) provides a premier international forum to bring together researchers and practitioners from diverse fields for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences on Web intelligence and intelligent agent technology research and applications. Academia, professionals and industry people can exchange their ideas, findings and strategies in deepening the understanding of all Web's entities, phenomena, and developments in utilizing the power of human brains and man-made networks to create a better world. More specifically, the fields of how artificial intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, the Web of Everything, and emerging FAccT in WI-IAT. Therefore, the theme of WI-IAT '23 will be

"Web Intelligence = AI in the Connected World".

WI-IAT '23 welcomes research, application, and Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Relevant topics include but are not limited to:

TRACKS AND TOPICS
++++++++++++++++++
TRACK 1: WEB OF PEOPLE
* Cognitive Modeling and Computing
* Conversational Search and Dialog Systems
* Crowdsourcing and Social Computing
* Human Centric Computing and Services
* Human Creativity and Decision-making Support
* Human-level Collective Intelligence
* Human-machine Co-intelligence in the Connected World
* Information Diffusion Modeling and Analysis
* Opinion Mining and Sentiment Analysis
* Recommendation Systems
* Situation and Personality Awareness
* Social Media and Social Networks
* User and Behavioural Modelling
* Wisdom Services

TRACK 2: WEB OF DATA
* Artificial Intelligence Generated Content (AIGC)
* Big Data Analytics and Deep Learning
* Big Data and Human Brain Complex Systems
* Cognitive Models and Computational Models
* Data Driven Services and Applications
* Data Integration and Data Provenance
* Data-Knowledge-Wisdom Hierarchy
* Data Science and Machine Learning
* Few-shot Learning and Transfer Learning
* Graph Isomorphism and Graph Theory
* Information Search and Retrieval
* Knowledge Graph and Semantic Networks
* Linked Data Management and Analytics
* Multimodal Data Fusion
* Pre-trained Language Models and Applications
* Representation Learning

TRACK 3: WEB OF THINGS
* Distributed Systems and Devices
* Dynamics of Networks
* Industrial Multi-domain Web
* Intelligent Ubiquitous Web of Things
* IoT Data Analytics
* Location and Time Awareness
* Open Autonomous Systems
* Sensor Networks
* Streaming Data Analysis
* Web Infrastructures and Devices Mobile Web
* Wisdom Web of Things

TRACK 4: WEB OF TRUST
* Blockchain Analytics and Technologies
* De-Platforming and No-platforming
* Decentralization of Internet
* Fake Content and Fraud Detection
* Hidden Web Analytics
* Monetization Services and Applications
* Trust Models for Agents
* Ubiquitous Computing
* Web Cryptography
* Web Safety and Openness
* Web-scale Security, Integrity, Privacy and Trust

TRACK 5: WEB OF AGENTS
* Agent Networks and Multi-Agent Systems
* Autonomy Remembrance Agents
* Autonomy-oriented Computing
* Behaviour Modelling and Individual-based Modelling
* Chatbot and Intelligent Agent
* Computational Social Science
* Deep Reinforcement Learning
* Distributed Problem-Solving and Reasoning
* Edge Computing and Cloud Computing
* Local-global Behavioural Interactions
* Mechanism Design
* Network Autonomy Remembrance Agents
* Self-adaptive and Self-organizing Evolutionary Systems
* Social-cyber-physical Systems
* Symbols-Meaning-Value Space

SPECIAL TRACK: Web in Industry, Society, Health and Smart Living, and the Web of Everything
* AIGC in Industry, Finance, Culture, Tourism, Education and Healthcare
* Data Brain, City Brain and Global Brain
* Data-driven Service Industry
* Data-driven Innovative Service-oriented Society
* Digital Ecosystems and Digital Epidemiology
* Digital Transformation and Digital Twin
* Generative AI and the Web of Everything
* Human-machine Symbiosis in a Connected World
* Web3, Metaverse and Smart Living
* Wellbeing and Healthcare in the 5G Era

SPECIAL TRACK in WI-IAT 2023: FAccT
* Fairness, Accountability, and Transparency
* Generative AI
* Explainability and Interpretability
* Responsible AI
* Metric and Evaluation
* Applications and use cases
* Impact on Society
* Robustness and Security


IMPORTANT DATES
+++++++++++++++
April 16, 2023: Workshop Proposal Submission
April 30, 2023: Workshop Proposal Acceptance Notification
June 25, 2023: Full Papers Submission (Extended)
July 2, 2023: Workshops/Special Sessions Paper Submission
August 8, 2023: Paper Acceptance Notification (Main Conference + Workshops)
October 26, 2023: Workshops and Special Sessions
October 27-29, 2023: Main Conference

PAPER SUBMISSION
++++++++++++++++
Papers must be submitted electronically via CyberChair in standard IEEE
Conference Proceedings format (max 8 pages, templates at
https://www.ieee.org/conferences/publishing/templates.html).
Submitted papers will undergo a peer review process, coordinated by the International Program Committee.

Main Conference Paper Submission:
https://wi-lab.com/cyberchair/2023/wi23/scripts/submit.php?subarea=WI
Workshops and Special Sessions Paper Submission:
https://wi-lab.com/cyberchair/2023/wi23/scripts/ws_submit.php?subarea=S

Organization Structure
++++++++++++++++++++++
General Chairs
* Salvatore Orlando, Ca' Foscari University of Venice, Italy
* Gabriella Pasi, University of Milano-Bicocca, Italy

Program Committee Chairs
* Claudio Lucchese, Ca' Foscari University of Venice, Italy
* Xiaohui Tao, University of Southern Queensland, Australia
* Sebastian Bruch, Ca' Foscari University of Venice, Italy

Local Organizing Chair
* Cristiana Fiandra, The Office, Italy

Workshop/Special Session Chairs
* Marco Viviani, University of Milano Bicocca, Italy
* Xujuan Zhou, University of Southern Queensland, Australia

Publicity Chairs
* Hongzhi Kuai, Maebashi Institute of Technology, Japan
* Thanveer Shaik, University of Southern Queensland, Australia

WIC Steering Committee Chairs
* Ning Zhong, Maebashi Institute of Technology, Japan
* Jiming Liu, Hong Kong Baptist University, HK, China

WIC Executive Secretary
* Xiaohui Tao, University of Southern Queensland, Australia


__________________________________________________________________

This email (including any attached files) is confidential and is 

for the intended recipient(s) only. If you received this email by 

mistake, please, as a courtesy, tell the sender, then delete this 

email.

The views and opinions are the originator's and do not necessarily 

reflect those of the University of Southern Queensland. Although 

all reasonable precautions were taken to ensure that this email 

contained no viruses at the time it was sent we accept no 

liability for any losses arising from its receipt.

The University of Southern Queensland is a registered provider 

of education with the Australian Government.

(CRICOS Institution Code QLD 00244B / NSW 02225M, TEQSA PRV12081)
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From loizos at ouc.ac.cy  Thu Jun 15 03:37:17 2023
From: loizos at ouc.ac.cy (Loizos Michael)
Date: Thu, 15 Jun 2023 07:37:17 +0000
Subject: Connectionists: Applications accepted for the M.Sc. Program in
 Cognitive Systems (Distance Learning, English) --- Deadline: June 22nd, 2023
Message-ID: <AM0PR08MB5252FFF9552DADFFF59D9C34975AA@AM0PR08MB5252.eurprd08.prod.outlook.com>

Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) --- Deadline: June 22nd, 2023The recent thrust towards explainable and trustworthy AI has provided renewed impetus to the design and development of AI technologies that explicitly acknowledge, and adapt to, the cognitive abilities and limitations of humans.To teach the emerging paradigm of cognitively-inspired AI, the interdisciplinary M.Sc. Program in Cognitive Systems combines courses from neural/connectionist and symbolic Artificial Intelligence, Machine Learning, and Cognitive Psychology, to explore the fundamentals of perception, attention, learning, mental representation, and reasoning, in humans and machines.The M.Sc. Program is offered jointly by two public universities in Cyprus (the Open University of Cyprus and the University of Cyprus) and has been accredited by the national Quality Assurance Agency. The program is directed by academics from the participating universities, and courses are offered in English via distance learning by an international team of instructors.
Applications for the academic year 2023-2024 are accepted until June 22nd, 2023: https://admissions.ouc.ac.cy/
More information (and contact details) about the M.Sc. Program in Cognitive Systems: https://cogsys.ouc.ac.cy/

Regards,
Loizos


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From maria.pavlovic at tuebingen.mpg.de  Thu Jun 15 04:17:24 2023
From: maria.pavlovic at tuebingen.mpg.de (Pavlovic, Maria)
Date: Thu, 15 Jun 2023 08:17:24 +0000
Subject: Connectionists: =?windows-1252?q?Systems_Vision_Science_Symposium?=
	=?windows-1252?q?_=96_Program_available?=
In-Reply-To: <list-43318623@tuebingen.mpg.de>
References: <list-43318623@tuebingen.mpg.de>
Message-ID: <0bfc6185a4ef4a718362fa17b2ff0a5e@tuebingen.mpg.de>

 

Systems Vision Science Symposium

Aug. 22-24, 2023 in T?bingen, Germany

 

The program is now available here:
https://summerschool.lizhaoping.org/contributions-for-symposium/

 

We still have limited space available ?
<https://summerschool.lizhaoping.org/contributions-for-symposium/>
registration to the symposium is accepted until space is filled!

 

Presentation topics by the invited speakers will be

?    Topics in Systems Vision Science

?    The power of two: New perspectives on binocular vision

?    Central versus peripheral vision

We are pleased to announce our symposium's keynote speaker: Marty Sereno. 
The keynote speech will be on August 22, 2023

Invited speakers of the Systems Vision Science Summer School and Symposium
include: 
Assaf Breska, Peter Dayan, Andrea van Doorn, Wolfgang Einh?user-Treyer, Karl
Gegenfurtner, 
Ziad Hafed, Tadashi Isa, Jan Koenderink, Kristine Krug, Hanspeter Mallot,
Laurence Maloney, 
Pascal Mamassian, Antje Nuthmann, Daniel Osorio, Andrew Parker, Jenny Read,
Alexander Sch?tz, 
Manuel Spitschan, Kristina Visscher, Li Zhaoping.

 

Our symposium takes place at the end of our Systems Vision Science summer
school Aug. 14-24, 2023.

 

Please direct inquiries to svs.summerschool at tue.mpg.de
<mailto:svs.summerschool at tue.mpg.de> 

--------------------------------

Organizing team:

Li Zhaoping

Ulf L?der

Maria Pavlovic

Junhao Liang

 

Max Planck Institute for Biological Cybernetics

University of Tuebingen

 <http://www.lizhaoping.org> www.lizhaoping.org

 

 

 

 

 

 

 

 

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From sigurd.lokse at uit.no  Thu Jun 15 07:30:17 2023
From: sigurd.lokse at uit.no (=?Windows-1252?Q?Sigurd_Eivindson_L=F8kse?=)
Date: Thu, 15 Jun 2023 11:30:17 +0000
Subject: Connectionists: =?windows-1252?q?2nd_Call_for_Contributions=3A_7t?=
 =?windows-1252?q?h_Northern_Lights_Deep_Learning_Conference=2C_09-11_Janu?=
 =?windows-1252?q?ary_2024=2C_Troms=F8_=28=93North_Pole=94=29=2C_Norway?=
Message-ID: <OLAP279MB029664BA3D6F9972240D6AF7F35BA@OLAP279MB0296.NORP279.PROD.OUTLOOK.COM>

Please join for the 7th Northern Lights Deep Learning Conference (NLDL) on 9-11 January 2024 in Troms?, Norway, organized by Visual Intelligence and the UiT Machine Learning Group.

We look forward to gathering the deep learning community again in the cool arctic air for a physical conference.

In addition, the NLDL winter school, which is a part of the NORA research school http://nora.ai, starts on Jan 8, ends on Jan 12, and incorporates events during the main conference days. The winter school includes scientific topics, industry event, women in AI event, and transferrable skills. More information is coming soon at http://www.nldl.org/winter-school.

We invite submissions presenting new and original research on all aspects of Deep Learning. The topics include but are not limited to the following:

  *   General Machine Learning (active learning, clustering, online learning, ranking, reinforcement learning, supervised, semi- and self-supervised learning, time series analysis, etc.)

  *   General Deep Learning (architectures, generative models, deep reinforcement learning, etc.)

  *   Optimization (convex and non-convex optimization, matrix/tensor methods, stochastic, online, non-smooth, composite, etc.)

  *   Probabilistic methods (Bayesian methods, variational inference, graphical models, etc.)

  *   Social and economic aspects of Machine Learning (accountability, causality, fairness, privacy, robustness, interpretability, etc.)

  *   Applications (vision, language, signals, speech and audio,  etc.)

  *   Deep Learning for Sciences (biology and medicine, environment and ecology, physics, etc.)

As always, we are happy to have top international speakers. This year, for instance

  *   Mark Girolami - University of Cambridge & the Alan Turing Institute

  *   Narges Razavian ? New York University

  *   Mathilde Caron ? Google Research

and more to come.

We are accepting two alternatives for contributions: (1) Full paper submissions (6 pages) will be presented either as orals or as posters and will be published in the conference proceedings. The proceedings are approved as a level 1 publication in the Norwegian national list of authorized research publication channels; (2) Extended abstracts (2 pages) will be presented as posters (but not published in the conference proceedings). The review process is double-blind.

Deadline for both types of submissions: September 1st, 2023.

Instructions on template etc. can be found on http://www.nldl.org.

A tentative program will be available soon at http://www.nldl.org/ and will include keynotes, scientific talks, an industry event, a Women in AI event and social events.

We hope to see many participants for a nice scientific gathering on the ?north pole?, including social events, and hopefully some northern lights


Kind regards,
The NLDL 2024 organizing committee
http://visual-intelligence.no
http://machine-learning.uit.no
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From luigi.acerbi at helsinki.fi  Fri Jun 16 07:26:51 2023
From: luigi.acerbi at helsinki.fi (Luigi Acerbi)
Date: Fri, 16 Jun 2023 13:26:51 +0200
Subject: Connectionists: PhD/postdoc position (fully funded) in
 resource-efficient probabilistic inference
Message-ID: <CAAMFxpavuPJ51sY+bqhh6cdaZHrOwpfda1c1e8vgca30-jXPaA@mail.gmail.com>

Dear all,

I am looking for a postdoc or PhD student in *Resource-Efficient
Probabilistic Machine Learning*, to join our group
<https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence> at
the Department of Computer Science, University of Helsinki, with
applications in model fitting of complex computational models in cognitive
science and AI.

The position is full-time, funded for 4 years (PhD) or 2+2 years (postdoc)
and will be filled as soon as possible, with a starting date in autumn
2023. The starting salary will depend on the position (PhD or postdoc) and
previous qualifications and experience. Applications will be considered
until the position is filled.

*For the full ad:*
https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence/phdpostdoc-position

*Brief project description:*

The main goal of the project is to extend and improve on our VBMC framework
for efficient probabilistic inference with moderately-to-very expensive
models, published in multiple papers (e.g., Acerbi, NeurIPS 2018
<https://arxiv.org/abs/1810.05558>; Acerbi, NeurIPS 2020
<https://arxiv.org/abs/2006.08655>), available in MATLAB
<https://github.com/acerbilab/vbmc> and recently released for Python
<https://github.com/acerbilab/pyvbmc>.

We aim to perform Bayesian inference for parameters of complex, expensive
state-of-the-art models in fields such as cognitive science and AI. An
example is the AI-inspired model of human gameplay from Wei Ji Ma's group (van
Opheusden et al., Nature 2023
<https://nature.com/articles/s41586-023-06124-2>).

The project includes funding for research visits to international
collaborators such as Wei Ji Ma <https://www.cns.nyu.edu/malab/> at New
York University and Michael Osborne <https://www.robots.ox.ac.uk/~mosb/> at
the University of Oxford. We also have many local collaborators, such as Antti
Honkela <https://www.cs.helsinki.fi/u/ahonkela/> for applications of
sample-efficient inference to privacy, and our team is highly involved in
the thriving & highly collaborative community of probabilistic ML/AI
researchers ? PhDs, postdocs, PIs ? in the Finnish Center for Artificial
Intelligence FCAI <https://fcai.fi/>, on top of many ongoing national and
international collaborations in cognitive science and computational
neuroscience.

Best wishes,
Luigi

--
Luigi Acerbi, Ph.D.
Assistant Professor of Machine and Human Intelligence
Department of Computer Science, University of Helsinki
Lab: http://www.helsinki.fi/machine-and-human-intelligence
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From zemel at cs.toronto.edu  Fri Jun 16 15:45:19 2023
From: zemel at cs.toronto.edu (Richard Zemel)
Date: Fri, 16 Jun 2023 15:45:19 -0400 (EDT)
Subject: Connectionists: postdoc openings: NSF AI Institute for Artificial
 and Natural Intelligence
Message-ID: <e0ea1588-fe52-9ca0-a712-7c9af2ef423@cs.toronto.edu>


The NSF AI Institute for Artificial and Natural Intelligence (ARNI) seeks 
highly qualified candidates for Postdoctoral Research Fellow positions, 
starting in Fall 2023.

ARNI is about cross-disciplinary collaboration between AI researchers and 
neuroscientists and cognitive scientists aiming to advance each field.

Research areas and approaches include:
?      Robust and flexible learning
?      Continual learning
?      Reasoning about causality and uncertainty
?      The neural mechanisms of intelligence
?      Language and vision

For a more detailed description of ARNI?s scientific agenda and 
participating researchers, see arni.engineering.columbia.edu.

Fellows will be based at Columbia University in the City of New York, and 
will be able to collaborate with any of the numerous ARNI researchers at 
Columbia, and at Carnegie Mellon, CUNY, Harvard. MILA, UPenn, Princeton, 
Rice, Tuskegee, and Yale.

In addition to research, Fellows will lead and steer ARNI?s scientific 
activities such as seminars and workshops. The anticipated term of a 
fellowship is two years. The position provides competitive salary and 
benefits, and funding for travel and other research needs. Applicants should 
have their degree conferred by the position start date.

Submission requirement: CV, research statement, and two reference letters. 
Applications will be accepted and reviewed on a rolling basis. Apply here:
https://apply.interfolio.com/125533

Best, Rich
------------------------------
Richard Zemel

Trianthe Dakolias Professor of Engineering and Applied Science
Professor of Computer Science
Columbia University

From david at irdta.eu  Sat Jun 17 02:31:37 2023
From: david at irdta.eu (David Silva - IRDTA)
Date: Sat, 17 Jun 2023 08:31:37 +0200 (CEST)
Subject: Connectionists: BigDat 2023 Summer: early registration June 19
Message-ID: <1873829458.550391.1686983497791@webmail.strato.com>

***********************************************

7th INTERNATIONAL SCHOOL ON BIG DATA

BigDat 2023 Summer

Las Palmas de Gran Canaria, Spain

July 17-21, 2023

https://bigdat.irdta.eu/2023su

***********************************************

Co-organized by:

University of Las Palmas de Gran Canaria

Institute for Research Development, Training and Advice - IRDTA
Brussels/London

***********************************************

Early registration: June 19, 2023

***********************************************

FRAMEWORK:

BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the opportunity to attend lectures in the program of DeepLearn 2023 Summer as well if they are interested.

SCOPE:

BigDat 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona.

Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, health, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, analytics, security and privacy, as well as applications to biology and medicine, business, finance, transportation, online social networks, etc. Major challenges of analytics, management and storage of big data will be identified through 14 four-hour and a half courses, 1 keynote lecture and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles.

ADDRESSED TO:

Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.

VENUE:

BigDat 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be:

Instituci?n Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria

https://www.infecar.es/

STRUCTURE:

2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Also, if interested, participants will be able to attend courses developed in DeepLearn 2023 Summer, which will be held in parallel and at the same venue.

Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event.

KEYNOTE SPEAKER:

Sander Klous (University of Amsterdam), How to Audit an Analysis on a Federative Data Exchange

PROFESSORS AND COURSES:

Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data

Marcelo Bertalm?o (Spanish National Research Council), [introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks

Gianluca Bontempi (Universit? Libre de Bruxelles), [intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference

Altan ?akir (Istanbul Technical University), [introductory/intermediate] Introduction to Big Data with Apache Spark

Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data Intensive Science Analysis

Ravi Kumar (Google), [intermediate/advanced] Differential Privacy

Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences

Jos? M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph Signal Processing and Geometric Learning

Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics for Massive Networks

Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Network-Based Health Analytics

Steven Skiena (Stony Brook University), [introductory/intermediate] Word and Graph Embeddings for Machine Learning

Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate] Meta-Analysis Methods for High-Dimensional Data

Ana Trisovic (Harvard University), [introductory/advanced] Principles, Statistical and Computational Tools for Reproducible Data Science

Sebasti?n Ventura (University of C?rdoba), [intermediate] Supervised Descriptive Pattern Mining

OPEN SESSION:

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 2023.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023.

EMPLOYER SESSION:

Organizations searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023.

ORGANIZING COMMITTEE:

Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria)
Marisol Izquierdo (Las Palmas de Gran Canaria, local chair)
Carlos Mart?n-Vide (Tarragona, program chair)
Sara Morales (Brussels)
David Silva (London, organization chair)

REGISTRATION:

It has to be done at

https://bigdat.irdta.eu/2023su/registration/

The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in DeepLearn 2023 Summer.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.

The fees for on site and for online participation are the same.

ACCOMMODATION:

Accommodation suggestions are available at

https://bigdat.irdta.eu/2023su/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

QUESTIONS AND FURTHER INFORMATION:

david at irdta.eu

ACKNOWLEDGMENTS:

Cabildo de Gran Canaria

Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico

Universitat Rovira i Virgili

Institute for Research Development, Training and Advice ? IRDTA, Brussels/London
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From vonluehmann at tu-berlin.de  Fri Jun 16 13:04:14 2023
From: vonluehmann at tu-berlin.de (=?iso-8859-1?Q?von_L=FChmann=2C_Alexander=2C_Dr=2E?=)
Date: Fri, 16 Jun 2023 17:04:14 +0000
Subject: Connectionists: Conference (free admission): Neuroscience in the
 Everyday World, Boston, Aug 2023
Message-ID: <cfc1363d3be5450aa83d1b0bdc23e279@tu-berlin.de>

Boston University and Chen Institute Joint Conference on the Neuroscience of the Everyday World

August 29th - 30th, 2023

At the first Neuroscience of the Everyday World conference, we are bringing together leaders in the fields of computer science, biomedical engineering, cognitive science, neurology, and clinical neuroscience to present state-of-the-art research, all focused on the study of continuous brain measurement in real-world activities. The presentations will all focus on innovative methodologies (e.g., fNIRS, EEG, BCI+real time feedback), different real-world contexts (e.g., measurements at home, in the clinic/hospital), and a range of healthy and disease states (e.g., dementia, stroke).

The conference will be 1.5 days with 2 keynotes, 3 symposia and a poster session. The goal is to facilitate extensive discussion and brainstorming to accelerate the impact of these convergent activities.
Registration and Abstract Submission is now open. Attendance is free of charge. Invited speakers are all confirmed.
If you would like to learn more, please follow the link below:

https://openfnirs.org/trainings-conferences/2023_new/



__________________________
Dr.-Ing. Alexander von L?hmann

Head of Independent Research Group
Intelligent Biomedical Sensing (IBS)

[cid:image001.png at 01D9A085.5AD010A0]

BIFOLD-ML | Machine Learning Department
Technische Universit?t Berlin
Fakult?t IV - EECS
MAR 4-1 / Raum 4.045
Marchstr. 23, 10587 Berlin

Telefon: +49 (0)30 314-77079
www.ibs-lab.com<http://www.ibs-lab.org/>
www.bifold.berlin<http://www.bifold.berlin/>
www.ml.tu-berlin.de<http://www.ml.tu-berlin.de/>

__________________________

Our Research Topic<https://www.frontiersin.org/research-topics/51995/advances-in-mobile-optical-brain-activity-monitoring> on frontiers is open for submissions until July 25th 2023.
If you have suitable work, please consider submitting!
[cid:image002.png at 01D9A085.5AD010A0]<https://www.frontiersin.org/research-topics/51995/advances-in-mobile-optical-brain-activity-monitoring>

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From wduch at umk.pl  Fri Jun 16 11:15:52 2023
From: wduch at umk.pl (Wlodek Duch)
Date: Fri, 16 Jun 2023 17:15:52 +0200
Subject: Connectionists: Distributed Artificial Brains (DAB),
 at the IEEE Symposium on Computational Intelligence for Human-like
 Intelligence (IEEE CIHLI)
In-Reply-To: <a34dca99-3893-dcf4-c93f-dfa03ef8c373@gmail.com>
References: <a34dca99-3893-dcf4-c93f-dfa03ef8c373@gmail.com>
Message-ID: <7270a92f-6f84-f7e9-d7c3-07e440571208@umk.pl>

*Distributed Artificial Brains (DAB), at the IEEE Symposium on 
Computational Intelligence for Human-like Intelligence (IEEE CIHLI)*

This year a lot of exciting new development in artificial intelligence 
have been introduced, leading to systems that have superhuman abilities 
in many domains. Large language models (LLMs) based on Generative 
Pretrained Transformers achieved a surprisingly high level of 
competence. Many enhancements have been proposed, giving these models 
multimodal capabilities, visual question answering, emergent abilities, 
such as the theory of mind, and the creation of inner images. The 
addition of algorithms that enable reflection, iterative prompting for 
self-improvement, chains and trees of thought, autoGPT mode, 
explanation-based learning, and many other exciting developments make 
the functioning of these models increasingly similar to the high-level 
brain processes.

The ability to use specialized plugins gives the LLMs great power of 
using tools to realize planned actions, making these systems a kind of 
Distributed Artificial Brains (DAB). It seems that the conscious-like 
behavior of such models is inevitable. IEEE Symposium on Computational 
Intelligence for Human-like Intelligence will be a great place to 
discuss the latest development in all facets of human-like intelligence, 
both in theory and practice. We are especially interested in submissions 
discussing further developments of LLMs and relation to the brain 
processes, and identification of qualities that may lead to a higher 
level of intelligence.

*Other topics*

The CIHLI organizers invite submissions of original previously 
unpublished innovative research in any topic related to practical and 
theoretical aspects of human-like intelligent behavior including, but 
not limited to:**

?Models and architectures, including cognitively-plausible architectures 
and systems for human-like intelligence and humanized computing in 
theory and practical applications

?Problem solving based on nature, heuristic, intuition, creativity, 
insight, curiosity and imagination

?Theory and application of deep learning, reinforcement learning, 
autonomous learning, transfer learning and active learning

?Theory and application of evolutionary, heuristics and bio inspired 
algorithms, neural networks, fuzzy logic, rule based systems and their 
hybrid constructions

?Theoretical and practical aspects of future generation computing models 
and paradigms

?Ambient intelligence and human-like intelligence in image processing, 
pattern recognition, expert systems, engineering problems, data mining 
and optimization for industry, finance, transport, logistics, economy, 
manufacturing, security, games, IoT, VR, healthcare, science, and other 
domains.


IEEE Symposium on Computational Intelligence for Human-like Intelligence 
(IEEE CIHLI) - SSCI 2023 
<https://attend.ieee.org/ssci-2023/ieee-symposium-on-computational-intelligence-for-human-like-intelligence-ieee-cihli/> 

Wlodzislaw Duch (NCU), Jacek Mandziuk (WUT), Marcin Wo?niak (SUT)



<https://www.is.umk.pl/~duch/>


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From sahidullahmd at gmail.com  Sun Jun 18 11:11:26 2023
From: sahidullahmd at gmail.com (Md Sahidullah)
Date: Sun, 18 Jun 2023 20:41:26 +0530
Subject: Connectionists: Jobs: Assistant and Associate Professors in AI/ML
 at TCG CREST, Kolkata, India
Message-ID: <CACJL8RUE6vHmPeyyP6g6hXNKqCG_nmoF9V+h3COU3gERt-88wA@mail.gmail.com>

** Apologies for cross-posting **

** Please forward this to anybody who might be interested. **


*****************************************************************************************************


Job Description:


We are seeking highly qualified and motivated individuals for the positions
of Assistant and Associate Professors in Artificial Intelligence (AI) and
Machine Learning (ML). The successful candidate will join our esteemed
faculty in the Institute for Advancing Intelligence (IAI), TCG Centre for
Research and Education in Science and Technology (CREST), Kolkata, India,
and contribute to our commitment to excellence in research, teaching, and
academic services. Please visit https://www.tcgcrest.org/institutes/iai/
for more information. TCG CREST has set up the campus in Sector V, Salt
Lake City, Kolkata, India. State-of-the-art laboratories and research
facilities for the individual Institutes, spacious classrooms and
technology interventions for executing both off-line and on-line academic
classes and programs, conference rooms, and other infrastructures provide
the students and the faculty an ideal environment for creative exchanges
and high-end research collaborations.


Main Responsibilities:


? Perform world-class research in the state-of-the-art AI/ML methods,
engage in scholarly research         activities, including publishing in
reputable journals and presenting at prestigious international conferences.

?  Mentor and advise Ph.D. students, providing guidance and support in
their academic and career development.

?  Actively participate to develop multi-disciplinary research
collaboration with other verticals within TCG CREST and other renowned
institutions around the globe.

?  Obtain Governmental and industrial funding for goal-oriented ML research
projects and consultancy

?  Teach undergraduate and graduate courses in AI and ML, including but not
limited to: Deep Learning, Computer Vision, Natural Language Processing,
Predictive Analytics, Business Intelligence, Privacy-preserving ML,
Language Modeling, and Data Visualization.

?  Participate in departmental meetings, committees, and other
service-related activities.

?  Stay current with advancements in AI and ML fields and incorporate them
into teaching and research.


Qualifications:


?  Minimum 3 years of post-Ph.D. research experience.

?  A Ph.D. degree in a relevant field such as Computer Science, ML, Data
Science, Metaverse or a related discipline from a reputed institute in
India or abroad.

? A strong academic record at the graduate and post-graduate levels

? Strong expertise and research experience in AI/ML or related areas.

? Active engagement in scholarly activities, including a track record of
publications in reputable journals and presentations at top-tier
conferences.


Compensation: Competitive salary package with respect to the top Central
Institutes in India including IITs and IISc.


Contact: If interested, contact with your current CV and a research
statement to:


         Prof. (Dr.) Swagatam Das,

         Deputy Director, Institute for Advancing Intelligence (IAI), TCG
CREST, Kolkata, India.

         E-mail: swagatam.das at tcgcrest.org, swagatamdas19 at yahoo.co.in


********************************************************************************************************************
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From francesca.naretto at sns.it  Mon Jun 19 04:00:04 2023
From: francesca.naretto at sns.it (Francesca NARETTO)
Date: Mon, 19 Jun 2023 10:00:04 +0200
Subject: Connectionists: XKDD 2023 Deadline Extended
Message-ID: <CAGKjhukFgbajZG0LwOXQRB=3MJpfeX0W6z-XustNaSrYb-yMYg@mail.gmail.com>

XKDD 2023 Deadline Extended!

Due to the high number of requests we decided to extend the submission
deadline to the 27th of June.

Do not miss this chance!



XKDD 2023 - Call for Papers

-------------------------------------------------------------------------

5th ECML-PKDD International Workshop on eXplainable Knowledge Discovery in
Data Mining

-------------------------------------------------------------------------



CONTEXT & OBJECTIVES

In the past decade, machine learning based decision systems have been
widely used in a wide range of application domains,  like credit score,
insurance risk, and health monitoring, in which accuracy is of the utmost
importance.

Although the support of these systems has an immense potential to improve
the decision in different fields, their use may present ethical and legal
risks, such as codifying biases, jeopardizing transparency and privacy, and
reducing accountability.

Unfortunately, these risks arise in different applications. They are made
even more serious and subtly by the opacity of recent decision support
systems, which are often complex and their internal logic is usually
inaccessible to humans.



Nowadays, most Artificial Intelligence (AI) systems are based on Machine
Learning algorithms.

The relevance and need for ethics in AI are supported and highlighted by
various initiatives arising from the researchers to provide recommendations
and guidelines in the direction of making AI-based decision systems
explainable and compliant with legal and ethical issues.

These include the EU's GDPR regulation which introduces, to some extent, a
right for all individuals to obtain ``meaningful explanations of the logic
involved'' when automated decision making takes place, the ``ACM Statement
on Algorithmic Transparency and Accountability'', the Informatics Europe's
``European Recommendations on Machine-Learned Automated Decision Making''
and ``The ethics guidelines for trustworthy  AI'' provided by the  EU
High-Level Expert Group on AI.



The challenge to design and develop trustworthy AI-based decision systems
is still open and requires a joint effort across technical, legal,
sociological and ethical domains.



The purpose of XKDD, eXaplaining Knowledge Discovery in Data Mining, is to
encourage principled research that will lead to the advancement of
explainable, transparent, ethical and fair data mining and machine learning.

Also, this year the workshop will seek submissions addressing uncovered
important issues in specific fields related to eXplainable AI (XAI), such
as XAI for a more Social and Responsible AI, XAI as a tool to align AI with
human values, XAI for Outlier and Anomaly Detection, quantitative and
qualitative evaluation of XAI approaches, and XAI case studies.

The workshop will seek top-quality submissions related to ethical, fair,
explainable and transparent data mining and machine learning approaches.

Papers should present research results in any of the topics of interest for
the workshop, as well as tools and promising preliminary ideas.

XKDD asks for contributions from researchers, academia and industries,
working on topics addressing these challenges primarily from a technical
point of view but also from a legal, ethical or sociological perspective.



Topics of interest include, but are not limited to:



TOPICS

-   XAI for Social AI

 -   XAI for Responsible AI

-   XAI to Align AI with Human Values

-   XAI for Outlier and Anomaly Detection

-   Quantitative and Qualitative Evaluation of XAI approaches

-   Transparent-by Design Models

 -   XAI Case studies

-   XAI for Privacy-Preserving Systems

-   XAI for Federated Learning

-   XAI for Time Series based Approaches

-   XAI for Graph based Approaches

-   XAI for Visualization

-   XAI in Human-Machine Interaction

-   XAI in Human-in-the-Loop Interactions

-   Counterfactual Explanations

-   Human-Model Interfaces for XAI approaches

-   Explainable Artificial Intelligence (XAI)

-   Interpretable Machine Learning

-   Transparent Data Mining

-   XAI for Fairness Checking

-   Explanation, Accountability and Liability from an Ethical and Legal
Perspective



XKDD 2023 is a Workshop of the ECML-PKDD Conference:
https://2023.ecmlpkdd.org/





SUBMISSION & PUBLICATION

All contributions will be reviewed by at least three members of the Program
Committee. As regards size, contributions can be up to is 14 pages
references excluded in LNCS format, i.e., the ECML PKDD 2023 submission
format. All papers should be written in English. The following kinds of
submissions will be considered: research papers, tool papers, case study
papers and position papers. Detailed information on the submission
procedure is available at the workshop web page:



http://xkdd2023.isti.cnr.it/



If pandemic conditions permit, the workshop will be held in an on-site
format. Recordings of the lectures will be made available to all registered
participants.



Accepted papers will be published after the workshop by Springer in a
volume of Lecture Notes in Computer Science (LNCS). The condition for
inclusion in the post-proceedings is that at least one of the co-authors
registered to ECML-PKDD and presented the paper at the workshop.
Pre-proceedings will be available online before the workshop. We also allow
accepted papers to be presented without publication in the conference
proceedings if the authors choose to do so. Some of the full paper
submissions may be accepted as short papers after review by the Program
Committee. A special issue of a relevant international journal with
extended versions of selected papers is under consideration.



The submission link is:
https://cmt3.research.microsoft.com/ECMLPKDDworkshop2023/Track/16/Submission/Create





IMPORTANT DATES

Paper Submission deadline: June 27, 2023

Accept/Reject Notification: July 13, 2023

Camera-ready deadline: July 31, 2023

Workshop: September 18, 2023





PROGRAM CO-CHAIRS

* Przemyslaw Biecek, Warsaw University of Technology, Poland

* Tania Cerquitelli, Politecnico di Torino, Torino, Italy

* Riccardo Guidotti, University of Pisa, Italy

* Francesca Naretto, Scuola Normale Superiore, Pisa, Italy

* Daniele Regoli, Instesa San Paolo, Italy





PROGRAM COMMITEE



* Miguel Couceiro, Universit? de Lorraine, France

* Alessandro Castelnovo, Intesa San Paolo, Italy

* Riccardo Crupi, Intesa San Paolo, Italy

* Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain

* Fran?oise Fessant, Orange Labs, France

* Salvatore Greco, Politecnico di Torino, Italy

* Andreas Holzinger, Medical University of Graz, Austria

* Paulo Lisboa, Liverpool John Moores University, UK

* Marcin Luckner, Warsaw University of Technology, Poland

* Amedeo Napoli, CNRS, France

* John Mollas, Aristotle University of Thessaloniki, Greece

* Enea Parimbelli, University of Pavia, Italy

* Francesca Pratesi, ISTI-CNR, Italy

* Roberto Prevete, University of Napoli, Italy

* Antonio Rago, Imperial College London, UK

* Eliana Pastor, Politecnico di Torino, Italy

* Jan Ramon, Inria, France

* Xavier Renard, AXA, France

* Mahtab Sarvmaili, Dalhousie University, Canada

* Udo Schlegel, Konstanz University, Germany

* Mattia Setzu, University of Pisa, Italy

* Dominik Slezak, University of Warsaw, Poland

* Myra Spiliopoulou, University Magdeburg, Germany

* Francesco Spinnato, Scuola Noramle Superiore, Italy

* Grigorios Tsoumakas, Aristotle University of Thessaloniki, Greece

* Genoveva Vargas-Solar, CNRS, LIRIS, France

* Albrecht Zimmermann, Universit? de Caen, France





INVITED SPEAKERS

* Andreas Theissler, Aalen University of Applied Sciences, Aalen, Germany

* Dino Pedreschi, University of Pisa, Italy (tentative)





STEERING COMMITTEE

* Riccardo Guidotti, University of Pisa

* Anna Monreale, University of Pisa

* Salvatore Rinzivillo, ISTI-CNR, Pisa



VENUE

The event will take place at the ECML-PKDD 2023 Conference at the Officine
Grandi Riparazioni (OGR).


CONTACT

All inquiries should be sent to francesca.naretto at di.unipi.it,
riccardo.guidotti at unipi.it
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From gualtiero.volpe at unige.it  Mon Jun 19 04:39:33 2023
From: gualtiero.volpe at unige.it (Gualtiero Volpe)
Date: Mon, 19 Jun 2023 10:39:33 +0200 (CEST)
Subject: Connectionists: * Extended deadline * Doctoral Consortium,
 ACM International Conference on Multimodal Interaction (ICMI2023)
Message-ID: <719131684.20.1687163973464@[192.168.1.93]>

========================================================
* Deadline extended to 25 June 2023 *
========================================================
ACM ICMI 2023 CALL FOR DOCTORAL CONSORTIUM CONTRIBUTIONS
9-13 October 2023, Paris - France
https://icmi.acm.org/2023/doctoral-consortium/
========================================================

The goal of the ICMI Doctoral Consortium (DC) is to provide PhD students with an opportunity to present their work to a group of mentors and peers from a diverse set of academic and industrial institutions, to receive feedback on their doctoral research plan and progress, and to build a cohort of young researchers interested in designing and developing multimodal interfaces and interaction. We invite students from all PhD granting institutions who are in the process of forming or carrying out a plan for their PhD research in the area of designing and developing multimodal interfaces.

Who should apply?
-----------------
While we encourage applications from students at any stage of doctoral training, the doctoral consortium will benefit most the students who are in the process of forming or developing their doctoral research. These students will have passed their qualifiers or have completed the majority of their coursework, will be planning or developing their dissertation research, and will not be very close to completing their dissertation research. Students from any PhD granting institution whose research falls within designing and developing multimodal interfaces and interaction are encouraged to apply.

Why should you attend?
----------------------
The DC provides an opportunity to build a social network that includes the cohort of DC students, senior students, recent graduates, and senior mentors. Not only is this an opportunity to get feedback on research directions, it is also an opportunity to learn more about the process and to understand what comes next. We aim to connect you with a mentor who will give specific feedback on your research. We specifically aim to create an informal setting where students feel supported in their professional development.

Important Dates
---------------
Submission deadline	June 25, 2023	*** EXTENDED ***
Notifications        	July 24, 2023
Camera-ready        	August 6, 2023

Submission Guidelines
---------------------
Graduate students pursuing a PhD degree in a field related to ICMI are eligible to apply for the Doctoral Consortium (DC) and should submit the following materials:

1. Extended Abstract: A description of the PhD research plan and progress. Extended abstracts can be a maximum of four pages, although references can extend to a fifth page if needed. They should follow the same outline, details, and format of the ICMI Short Papers (https://icmi.acm.org/2023/guidelines-for-authors/). However, unlike short papers, DC submissions will not be anonymous. Be sure to include:
* The key research questions and motivation of the student?s research
* Background and related work that informs the student?s research
* A statement of hypotheses or a description of the scope of the technical problem
* The research plan, outlining stages of system development or series of studies
* The research approach and methodology
* Research results to date (if any) and a description of remaining work
* A statement of research contributions to date (if any) and expected contributions of the PhD work

2. Advisor Letter: A one-page letter of nomination from the student?s PhD advisor, which should focus on the student?s PhD plan and how the Doctoral Consortium event might contribute to the student?s PhD training and research.

3. Curriculum Vitae: A two-page CV describing the student?s background and work.

All materials should be prepared in PDF format and submitted through the ICMI submission system.

Process
-------
* Submission format: Four-page extended abstract using the ACM format (https://icmi.acm.org/2023/guidelines-for-authors/)
* Submission system: Precision Conference System 
(https://new.precisionconference.com/submissions/icmi23a)
* Selection process: Peer-Reviewed
* Presentation format: Talk on consortium day and participation in the conference poster session
* Proceedings: Extended abstracts published in conference proceedings and ACM Digital Library


From hocine.cherifi at gmail.com  Mon Jun 19 09:48:56 2023
From: hocine.cherifi at gmail.com (Hocine Cherifi)
Date: Mon, 19 Jun 2023 15:48:56 +0200
Subject: Connectionists: CFP COMPLEX NETWORKS 2023 Menton Riviera France
	November 28 - 30, 2023
Message-ID: <CAFX-JVv-AycrfgDb6_iC9GoetY_XDBWow_Lg87eVnrd2KA-4rg@mail.gmail.com>

CFPComplexNetworks2023V1

12 th International Conference on Complex Networks & Their Applications

Menton Riviera, France November 28 - 30, 2023 COMPLEX NETWORKS 2023

You are cordially invited to submit your contribution until September 02,
2023. SPEAKERS

   -

   ?  Michael Bronstein University of Oxford UK
   -

   ?  Kathleen Carley Carnegie Mellon University USA
   -

   ?  Manlio De Domenico University of Padua Italy
   -

   ?  Danai Koutra University of Michigan USA
   -

   ?  Romualdo Pastor-Satorras Univ. Polite?cnica de Catalunya Spain
   -

   ?  Tao Zhou USTC China

   TUTORIALS


   -

   ?  Tiago de Paula Peixoto CEU Vienna Austria
   -

   ?  Maria Liakata Queen Mary University of London UK

   PUBLICATION

   Full papers (not previously published up to 12 pages) and Extended
   Abstracts (about published or unpublished research up to 4 pages) are
   welcome.


   -

   ?  Papers will be included in the conference proceedings edited by
   Springer
   -

   ?  Extended abstracts will be published in the Book of Abstracts (with
   ISBN)

   Extended versions will be invited for publication in special issues of
   international journals:

o Applied Network Science edited by Springer

o Advances in Complex Systems edited by World Scientific o Complex Systems

o Entropy edited by MDPI
o PLOS one
o Social Network Analysis and Mining edited by Springer

SUBMISSION

https://complexnetworks.org/submission/

TOPICS
Topics include, but are not limited to:

o Models of Complex Networks
o Structural Network Properties and Analysis
o Epidemics
o Community Structure
o Motifs
o Network Mining
o Network embedding
o Machine learning with graphs
o Dynamics and Evolution Patterns of Complex Networks

o Link Prediction
o Multilayer Networks
o Controllability
o Synchronization
o Visual Representation
o Large-scale Graph Analytics
o Social Reputation, Influence, and Trust
o Information Spreading in Social Media
o Rumour and Viral Marketing in Social Networks
o Recommendation Systems
o Financial and Economic Networks
o Mobility
o Biological and Technological Networks
o Mobile call Networks
o Bioinformatics
o Earth Sciences Applications
o Resilience and Robustness of Complex Networks o Networks for Physical
Infrastructures
o Networks, Smart Cities and Smart Grids
o Political networks
o Supply chain networks
o Complex networks and information systems
o Complex networks and CPS/IoT
o Graph signal processing
o Cognitive Network Science
o Network Medicine
o Network Neuroscience
o Quantifying success through network analysis
o Temporal and spatial networks
o Historical Networks
o Graph-Based Natural Language Processing

GENERAL CHAIRS

Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton
University, USA)
Join us at COMPLEX NETWORKS 2023 <https://www.complexnetworks.org/>
*-------------------------*
Hocine CHERIFI
University of Burgundy Franche-Comt?
Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS
Editor in Chief Applied Network Science
<https://appliednetsci.springeropen.com/>

Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE
ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>,
Scientific
Reports <https://www.nature.com/srep/>,

Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and
Quantity <https://www.springer.com/journal/11135/>, Computational Social
Networks <https://computationalsocialnetworks.springeropen.com/>,
Complex Systems <https://www.complex-systems.com/>
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From zren at uni-bremen.de  Mon Jun 19 12:10:00 2023
From: zren at uni-bremen.de (Zhao Ren)
Date: Mon, 19 Jun 2023 18:10:00 +0200
Subject: Connectionists: Call for papers: Intelligent Audition Technologies
 for Personalized Healthcare
Message-ID: <20230619181000.Horde.kDs0gDlLa67Mtipzgld2ok-@webmail.uni-bremen.de>

Dear community,

We are organising a research topic on INTELLIGENT AUDITION  
TECHNOLOGIES FOR PERSONALIZED HEALTHCARE in the Frontiers in Computer  
Science, and?we would like to invite you to contribute a paper to this  
research topic.

URL:  
https://www.frontiersin.org/research-topics/54868/intelligent-audition-technologies-for-personalized-healthcare

Abstract Submission Deadline: 30 September 2023
Manuscript Submission Deadline: 31 December 2023

  ?

  Topic Editors:

  Zhao Ren, University of Bremen, Germany

  Tanja Schultz, University of Bremen, Germany

  Kun Qian, Beijing Institute of Technology, China

  Bj?rn W. Schuller, Imperial College London, United Kingdom


If you are interested in submitting a paper, we would kindly ask you  
to participate via "Participate in this topic" before your submission.  
Therefore we will know your submissin in advance. Please feel free to  
let me known if you have any questions.

  ?

  ?

  Thank you very much and best regards,
?

  Zhao Ren
  ?
  Dr.-Ing. Zhao Ren
Cognitive Systems Lab (CSL)
University of Bremen
Germany
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From liufengchaos at gmail.com  Tue Jun 20 03:53:35 2023
From: liufengchaos at gmail.com (Feng Liu)
Date: Tue, 20 Jun 2023 03:53:35 -0400
Subject: Connectionists: Call for abstract and workshop proposal --Brain
 Informatics 2023 in New York Metropolitan
Message-ID: <CAOgdNMEVpvO7hmZJSzaFg=UBfmAmsm04AqSz0Xxm5utKnY-KbA@mail.gmail.com>

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++
                                               CALL FOR PAPERS
          The 16th International Conference on Brain Informatics (BI'23)
                                                 August 1 - 3, 2023
                                           Hoboken & New York ? USA
                The key theme: Brain Science meets Artificial Intelligence
             Conference homepage: wi-consortium.org/conferences/bi2023/
 +++++++++++++++++++++++++++++++++++++++++++++++++++++++++
*** IMPORTANT DATES ***
- 30 Jun 2023: Abstract/workshop proposal Submission Deadline

*** Confirmed Keynote Speakers ***
-  Professor Emery N. Brown
   Member of the National Academy of Sciences
   Member of the National Academy of Engineering
   Member of the National Academy of Medicine
   MIT, Massachusetts General Hospital, USA

-  Professor Bin He
   Fellow of International Academy of Medical and Biological Engineering
(IAMBE)
   Fellow of American Institute of Medical and Biological Engineering
(AIMBE)
   Fellow of Biomedical Engineering Society (BMES), and IEEE
   Member of the National Academy of Inventors
   Carnegie Mellon University, USA

-  Professor John Ngai
   Director of NIH BRAIN Initiative
   NIH BRAIN Initiative, USA

-  Professor Helen Mayberg
   Member of the National Academy of Sciences
   Member of the National Academy of Medicine
   Member of the National Academy of Inventors
   Member of the American Academy of Arts and Sciences
   Mount Sinai Medical Center, USA

-  Professor Vinod Goel
   Author of monographs: ?Sketches of thought? and ?Reason and Less:
Pursuing Food, Sex, and Politics?
   York University, Canada

-  Professor Amy Kuceyeski
   Director of Computational Connectomics (CoCo) at Weill Cornell Medicine
   Cornell University, USA

-  Dr. Grace Hwang
   Program Director, NINDS, NIH

*** Local information ***
*The location of the BI2023 in the beautiful campus of Stevens Institute of
Technology in Hoboken, New Jersey, located on the west bank of Hudson River
overlooking Manhattan. Stevens is close to a group of finest universities
such as Princeton University (1.5 hours drive), Columbia University (25 min
drive), New York University (20 min drive) and Yale University (1h 40 min
drive).
*Convenient transportation: (1) Nearby there are three major airports:
Newark, JFK, and LaGuardia with direct flights to all major cities in the
world.  (2) 15 minutes to Time Square by bus.
*An economic accommodation option: $100 dorm room option is available in
the newly completed University Complex Center Building with a view of
Manhattan (limited spaces)

***About the conference***
The International Conference on Brain Informatics (BI) series has
established itself as the world's premier research conference on Brain
Informatics, which is an emerging interdisciplinary and multidisciplinary
research field that combines the efforts of Cognitive Science,
Neuroscience, Machine Learning, Data Science, Artificial Intelligence (AI),
and Information and Communication Technology (ICT) to explore the main
problems that lie in the interplay between human brain studies and
informatics research.
The 16th International Conference on Brain Informatics (BI'23) provides a
premier international forum to bring together researchers and practitioners
from diverse fields for presentation of original research results, as well
as exchange and dissemination of innovative and practical development
experiences on Brain Informatics research, brain-inspired technologies and
brain/mental health applications.

*** Topics and Areas ***
The key theme of the conference is "Brain Science meets Artificial
Intelligence".
The BI'23 solicits high-quality original research and application papers
(full paper and abstract presentation submissions).
Relevant topics include but are not limited to:

Track 1: Cognitive and Computational Foundations of Brain Science
Track 2: Human Information Processing Systems
Track 3: Brain Big Data Analytics, Curation and Management
Track 4: Informatics Paradigms for Brain and Mental Health Research
Track 5: Brain-Machine Intelligence and Brain-Inspired Computing

Abstract Presentation Submission:
Submission link:
http://wi-consortium.org/conferences/bi2023/paper%20submissions%20and%20publications.html
Research abstracts are encouraged and will be accepted for presentations in
an oral presentation format and/or poster presentation format. Each
abstract submission should include the title of the paper and an abstract
body within 1500 words. Note: The abstract will not be included in the
conference proceedings to be published by Springer.

Special Issues & Books:
Workshop organizers can be invited to contribute a book publication in the
Springer-Nature Brain Informatics & Health Book Series (
https://www.springer.com/series/15148), or a special issue at the Brain
Informatics Journal.

*** Workshop & Special Sessions ***
Proposal Submissions:
BI'23 will be hosting a series of workshops and special sessions featuring
topics relevant to the brain informatics community on the latest research
and industry applications.

Papers & Presentations:
A workshop/special session typically takes a half day (or full day) and
includes a mix of regular and invited presentations including regular
papers, abstracts, invited papers as well as invited presentations.
The paper and abstract submissions to workshops/special sessions will
follow the same format as the BI conference papers and abstracts.

Proposal Guidelines:
Each proposal should include:
1) workshop/special session title;
2) length of the workshop (half/full day);
3) names, main contact, and a short bio of the workshop organizers;
4) brief description of the workshop scope and timeline;
5) prior history of the workshop (if any);
6) potential program committee members and invited speakers;
7) any other relevant information.
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From vonluehmann at tu-berlin.de  Tue Jun 20 04:27:57 2023
From: vonluehmann at tu-berlin.de (=?Windows-1252?Q?von_L=FChmann=2C_Alexander=2C_Dr=2E?=)
Date: Tue, 20 Jun 2023 08:27:57 +0000
Subject: Connectionists: =?windows-1252?q?Job_Opening=3A_PhD/PostDoc_at_TU?=
 =?windows-1252?q?_Berlin_=96_Electronics_Engineering_and_ML_for_Wearable_?=
 =?windows-1252?q?Brain-Body_Imaging?=
Message-ID: <a7b876073cc247abbfa31446533889b4@tu-berlin.de>

Dear all,
please see the job opening below. Please note: We are looking for somebody with engineering (electronics/embedded) background ? but for neuroscience and neurotechnology. Maybe you know someone?


Job Opening: PhD/PostDoc at TU Berlin ? Electronics Engineering and ML for Wearable Brain-Body Imaging
The independent research group "Intelligent Biomedical Sensing (IBS)<http://www.ibs-lab.com/mission-statement>" headed by Dr.-Ing. Alexander von L?hmann<https://www.bifold.berlin/people/dr-alexander-von-luehmann.html> is hiring!
We are looking for a highly motivated researcher to join us in interdisciplinary projects that focus on the development of novel methods for the identification and extraction of robust multimodal biomarkers for neuronal and peripheral physiological activation - towards personalized digital health.

The IBS Lab develops miniaturized wearable neurotechnology and body-worn sensors, as well as machine learning methods for sensing signals from the brain and body under natural conditions of the everyday world. The group focuses on multimodal analysis of physiological signals in diffuse optics (e.g. fNIRS) and biopotentials (e.g. EEG).
Working field: Independent and responsible research on wearable instruments and methods for robust neurotechnology in mobile applications.

  *   Design and implementation of innovative wearable and miniaturized opto-electronic hardware for multimodal brai-nbody imaging using diffuse optics and biopotentials.
  *   Development of multimodal machine-learning-based sensor fusion methods for signal analysis, signal decomposition and inference from wearable physiological sensor data

Requirements:

  *   Successfully completed university degree (Master, Diplom or equivalent) with excellent grades in electrical or biomedical engineering, embedded systems engineering, opto-physics, or a similar technical subject. Doctoral degree desirable but not required.
  *   Strong competence in the development of (opto)electronic circuits and layouts from circuit diagram to pilot series (experience with CAE and CAD software).
  *   Sound knowledge of microcontrollers and mixed-signal circuits
Employer: TU Berlin/BIFOLD
Salary grade: TV-L 13 Berliner Hochschulen
Starting date: at the earliest possible
Closing date: 23.06.2023
Full job postings and more details: TUB IV-340/23<https://www.jobs.tu-berlin.de/en/job-postings/166770> |  IBS Lab<https://ibs-lab.com/phd-postdoc-iv-340-23-e13-tv-l/> | LinkedIn<https://www.linkedin.com/hiring/jobs/3621602673/detail/>



__________________________
Dr.-Ing. Alexander von L?hmann

Head of Independent Research Group
Intelligent Biomedical Sensing (IBS)

[cid:image001.png at 01D9A361.8DCB0CB0]

BIFOLD-ML | Machine Learning Department
Technische Universit?t Berlin
Fakult?t IV ? EECS
MAR 4-1 / Raum 4.045
Marchstr. 23, 10587 Berlin

Telefon: +49 (0)30 314-77079
www.ibs-lab.com<http://www.ibs-lab.org/>
www.bifold.berlin<http://www.bifold.berlin/>
www.ml.tu-berlin.de<http://www.ml.tu-berlin.de/>

__________________________

Our Research Topic<https://www.frontiersin.org/research-topics/51995/advances-in-mobile-optical-brain-activity-monitoring> on frontiers is open for submissions until July 25th 2023.
If you have suitable work, please consider submitting!
[cid:image002.png at 01D9A361.8DCB0CB0]<https://www.frontiersin.org/research-topics/51995/advances-in-mobile-optical-brain-activity-monitoring>

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From stm at socio.org.uk  Tue Jun 20 07:32:09 2023
From: stm at socio.org.uk (stm socio.org.uk)
Date: Tue, 20 Jun 2023 11:32:09 +0000
Subject: Connectionists: Real-Time Intelligent Systems 2023
Message-ID: <LO2P302MB0247216E59A156E543DD0AAF8D5CA@LO2P302MB0247.GBRP302.PROD.OUTLOOK.COM>

CALL FOR PAPERS

Fifth International Conference on Real-Time Intelligent Systems (RTIS 2023)
October 09-11, 2023
University of Bedfordshire, Luton. UK
(Hybrid mode- Physical/Virtual)
www.socio.org.uk/rtis

Lecture Notes in Networks and Systems by Springer
https://www.springer.com/series/15179

Earlier conferences took place in Taipei, Taiwan (2018); Casablanca, Morocco (2017); Beijing, China (2016). The 5th RTIS will take place at the University of Bedfordshire, UK.

Over the last few years, real-time intelligent computing has radically transformed the human lifestyle. Research on real-time intelligent systems is multi-disciplinary, exploiting concepts from diverse areas such as big data processing, computational intelligence, location-based services, recommendation systems, and multimedia processing. In today?s highly dynamic environment, analysing data in real-time is a must to understand how systems process data, reason the outputs, and anticipate trends in intelligent computing. To this end, this conference will serve as a platform to manifest the ongoing research in the field. Thus, RTIS welcomes theoretically grounded, methodologically sound papers that address aspects related to topics, such as:

Artificial Intelligence Techniques

Artificial Intelligence and Data mining
Streaming data, streaming engines
Trace-based intelligent real-time services
Adaptive vision algorithms
Location-based services
Intelligent Robotic Systems
Collaborative Intelligence
Processing Intelligent Databases

Data capture in real-time
Data quality and cleansing
Intelligent Data Analysis
Intelligent Database Systems
Big Data systems and applications for high-velocity data
Intelligent Information Systems
Privacy and Security in Intelligence
Software Engineering Solutions

Intelligent Soft Computing
Real-time multiprocessor systems
Internet of Things
Architectures for Intelligence
Real-time distributed coding
Smart services and platforms
Real-time modelling user information needs
Wireless Communication

Real-time intelligent communication
Real-time intelligent network solutions
Mobile Smart Systems
Broadband Intelligence
Cloud Computing and Intelligence
Collaborative Intelligence
Analysis in domains such as energy, sensors, Expert Systems
Smart Life Systems

Decision support systems in real time
Multi-agent Intelligent Systems
Multilingual information access
Recommendation systems
Real-time intelligent, alert systems
Real-time remote access systems
Intelligent Transportation Systems
Critical Real-Time Applications
Hybrid Intelligent Systems

Real-time noise removal systems
Event-driven analytics
Intelligent Fuzzy Systems
Machine translation in real time
OLAP for real-time decision support
Crowdsourcing and crowd intelligence
Submission, proceedings

Papers must be submitted online through OpenConf (https://www.socio.org.uk/rtis/paper-submission/). Author instructions and LaTex2e (preferred) and Word macro files are available on the submission page. Submitted papers should be within 14 pages (long papers) and eight pages (short ones), including figures, tables, and references. Authors of accepted papers are required to transfer their copyrights. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with full registration.

Springer will publish The proceedings in Lecture Notes in Networks and Systems.

Extended versions of the conference papers will be considered for publication in the below journals.

Journal of Computational Methods in Sciences and Engineering (JCMSE)
Future Internet
https://www.mdpi.com/journal/futureinternet
Data
https://www.mdpi.com/journal/data
(For Data and Future Internet, the discounted APC is applicable, which is 50%)
Journal of Digital Information Management
Journal of Intelligent Computing

Venue

The venue is the University of Bedfordshire, UK.

Plenary speakers

Professor Eric Atwell, Professor of Artificial Intelligence for Language
School of Computing, University of LEEDS, UK

Professor Wang
Department of Electrical and Software Engineering
University of Calgary, Canada

Important Dates

Full Paper Submission: July 20, 2023
Notification of Acceptance/Rejection: August 15, 2023
Registration Due:  September  15, 2023
Camera Ready Due: September 15, 2023
Workshops/Tutorials/Demos:  October  08, 2023
Main conference: October 09-11, 2023
Post-conference proceedings:  October  25, 2023

General Chairs

Ricardo Rodriguez-Jorge,  Jan Evangelista Purkyn? University ,  Czech Republic
Mart?n L?PEZ-NORES, University of Vigo, Spain

Program Chairs

Yao-Liang Chung, National Taiwan Ocean University, Taiwan
Pit Pichappan, Digital Information Research Labs, India

Workshop/Special Issues Chair

Ezendu Ariwa, University of Warwick, UK

www.socio.org.uk/rtis
Contact: stm at socio.org.uk
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From cgf at isep.ipp.pt  Tue Jun 20 12:24:31 2023
From: cgf at isep.ipp.pt (Carlos)
Date: Tue, 20 Jun 2023 17:24:31 +0100
Subject: Connectionists: CFP: SoGood 2023 - ECML-PKDD Workshop on Data
	Science for Social Good
Message-ID: <4152887e-f67c-ddc8-f19a-9a727a1e2174@isep.ipp.pt>

=================

Call for Papers

SoGood 2023 ? 8th Workshop on Data Science for Social Good

Affiliated with ECML-PKDD 2023, 18-22 September, Torino, Italy, https://2023.ecmlpkdd.org/

Workshop site: https://sites.google.com/view/sogood2023/home



The possibilities of Data Science for contributing to social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models" or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of social impact of the application.


This workshop aims to attract papers presenting applications of Data Science for Social Good (which may, or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes:

?         Government transparency and IT against corruption

?         Fight against environmental crime

?         Public safety and disaster relief
?         Access to food, water, sanitation and utilities
?         Efficiency and sustainability
?         Climate change
?         Data journalism
?         Social and personal development
?         Economic growth and improved infrastructure
?         Transportation
?         Energy
?         Smart city services
?         Education
?         Social services, unemployment and homeless
?         Healthcare and well-being
?         Support for people living with disabilities
?         Responsible consumption and production
?         Gender equality, discrimination against minorities
?         Ethical issues, fairness, and accountability.
?         Trustability and interpretability
?         Topics aligned with the UN development goals:

http://www.un.org/sustainabledevelopment/sustainable-development-goals/



The maximum length of papers in 16 pages, including references, consistent with the ECML PKDD conference submissions.

Submitting a paper to the workshop means that if the paper is accepted, at least one author will attend the workshop and present the paper. Papers not presented at the workshop will not be included in the proceedings. We will follow ECML PKDD?s policy for attendance.


Paper publication:
Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.


Important Dates:
?         Workshop paper submission deadline: June 24, 2023

?         Workshop paper acceptance notification: July 12, 2023

?         Workshop paper camera-ready deadline: July 24, 2023

?         Workshop: September 22, 09h-12.30, 2023 (TBC)

Carlos Ferreira


ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. Ant?nio Bernardino de Almeida, 431
4249-015 Porto - PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
mail at isep.ipp.pt | www.isep.ipp.pt


From stdm at zhaw.ch  Tue Jun 20 09:44:32 2023
From: stdm at zhaw.ch (Stadelmann Thilo (stdm))
Date: Tue, 20 Jun 2023 13:44:32 +0000
Subject: Connectionists: Wanted: Senior Lecturer Autonomous Learning Systems
 and RL (incl. responsibility in research & leadership) in
 Winterthur/Switzerland -> deadline June 30
In-Reply-To: <GVAP278MB088402095FE439FE5C35862AD57C9@GVAP278MB0884.CHEP278.PROD.OUTLOOK.COM>
References: <GVAP278MB088402095FE439FE5C35862AD57C9@GVAP278MB0884.CHEP278.PROD.OUTLOOK.COM>
Message-ID: <GVAP278MB0884121C689D70ABE2E77DBFD55CA@GVAP278MB0884.CHEP278.PROD.OUTLOOK.COM>

Dear connectionsists,

deadline end of June: For our fast-growing Centre for Artificial Intelligence at the Zurich University of Applied Sciences in Winterthur/Switzerland, we are looking as head of a new research group and member of the Centre Board for a Senior Lecturer Autonomous Learning Systems and Reinforcement Learning (incl. responsibility in research & leadership) 50 - 100 %.

To apply: https://ohws.prospective.ch/public/v1/jobs/c2e714f3-aec3-42c4-83fa-c4ad1d803f6c
For context: https://www.zhaw.ch/en/engineering/institutes-centres/cai/

If you have any questions, please get in touch directly with me.

Best, Thilo

-------------------------------------------------------------------------------------------------------------
ZHAW School of Engineering
Prof. Thilo Stadelmann, Dr. rer. nat., FECLT, SMIEEE

Director of Centre for Artificial Intelligence
Head of Computer Vision, Perception and Cognition Group

Phone: +41 58 934 72 08, fax: +41 58 935 72 08
Email: thilo.stadelmann at zhaw.ch
Web: www.zhaw.ch/cai<http://www.zhaw.ch/cai>, http://stdm.github.io<http://stdm.github.io/>

Office: TN 03.64, Technikumstrasse 71, CH-8400 Winterthur
Postal address: ZHAW School of Engineering, Thilo Stadelmann, Postfach, CH-8401 Winterthur, Switzerland
Site plan: https://www.zhaw.ch/storage/shared/hochschule/lageplaene/lageplan-winterthur-technikumstrasse.pdf


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From xiao at gmu.edu  Tue Jun 20 20:46:21 2023
From: xiao at gmu.edu (Xuesu Xiao)
Date: Wed, 21 Jun 2023 00:46:21 +0000
Subject: Connectionists: [meetings] [news] 2nd CfP: IJCAI23 Robot Exhibition
Message-ID: <CB435793-90B4-4402-B78F-354DB701243E@gmu.edu>

Dear roboticists and AI researchers,

we are pleased to present the call for expressions of interest in the Robot Exhibition of the 32nd International Joint Conference on Artificial Intelligence (August 19?25, 2023, Macao, S.A.R). IJCAI23 will be a premier international gathering of researchers in AI, and the Robot Exhibition will run alongside the IJCAI23 combined technical program (https://ijcai-23.org/call-for-robot-exhibition/).

Robots are a central focus of AI research and development, providing preeminent examples where cognitive skills (e.g., in perception, decision-making, control) are necessary to cope with complex tasks, and both naturalistic and controlled environments. On the one hand, developing intelligent robot systems involves challenging open research questions in AI. On the other hand, established AI methods are gaining increasing interest and applicability in various domains (e.g., industries, services, space) that involve robots alongside humans.

This exhibition offers a prime space for exhibiting both achieved results and new opportunities for the development and use of AI in Robotics in the real world to a large audience of professional AI researchers from academia and industry. The exhibition seeks to involve both academic and industrial groups interested in the combination of AI and Robotics. The exhibition will thus provide an outstanding opportunity for universities, research organizations, and companies to showcase their research on the world stage.

We invite expressions of interest for demonstrations of robotic systems, software, and tools that exploit AI methods and technologies, and that would be of interest to the broad AI community. Expressions of interest should include:
A one-page description (in IJCAI format) of:
? the proposing group/company,
? the robotic technology to be demonstrated,
? the relevance of this technology to AI.
A video of up to two minutes demonstrating the system in action; the video should be at most 100MB, in mp4 format. Please include your title and authorship info in the opening of the video.

Submission website: https://cmt3.research.microsoft.com/IJCAI2023/

Expressions of interest will be evaluated according to the following criteria:
Relevance:  What is the relevance of the shown demonstration to AI?
Understandability:  How amenable is the showcase to technical and non-technical audiences?

IMPORTANT DATES
Submission of expressions of interest: June 30, 2023
Notification of acceptance: July 15, 2023
Note: all deadlines are Anywhere on Earth (AoE).

IJCAI 2023 Robot Exhibition Chairs

Xuesu Xiao, George Mason University
Benjamin Rosman, University of the Witwatersrand

Please, send all enquiries about the Robot Exhibition Track to the track Co-Chairs via email: robots at ijcai-23.org<mailto:robots at ijcai-23.org>


-----------------------
Xuesu Xiao, Ph.D.
--
Assistant Professor
Department of Computer Science
George Mason University
xiao at gmu.edu<mailto:xiao at gmu.edu>
https://cs.gmu.edu/~xiao/

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From srodrigues at bcamath.org  Wed Jun 21 05:23:49 2023
From: srodrigues at bcamath.org (Serafim Rodrigues)
Date: Wed, 21 Jun 2023 11:23:49 +0200
Subject: Connectionists: Spanish Return of Talent Programme
Message-ID: <CAFA6T9vb9sKt6n6NBiNXtpqdxEio-d+DCUmG5yVc0z_0pV7+8g@mail.gmail.com>

Dear All

Please find below a brief summary of the *?Return of Talent
Programme?* launched
by the FUNDACI?N RAM?N ARECES. The deadline for submission of applications
is* 15th October 2023.*



v  *OVERVIEW OF THE CALL*



The aim of this call is to promote an innovative programme for the return
of scientists already established abroad, so that they can develop a
*relevant* *research project (in any scientific area) for a period of five
years in a Spanish public research institution*.



v  *FUNDING CONDITIONS & DURATION*

*DURATION:* *5 years* (the initial duration is 1 year, extendable annually
for 4 successive additional years after a favorable evaluation by the
Foundation's Scientific Council).

*Note:** It must start, at the latest, 12 months after the Call results are
published.*



*FUNDING:* *1 grant** for the amount of 1.250.000 ?*

-          *1st year:* 40 %.

-          *2nd and 3rd year:* 20% each year.

-          *4th and 5th year:* 10% each year.

v  *ELIGIBILITY & REQUIREMENTS*

-          *Applicant researchers:*

?  *Spanish nationality*.

?  *Have been residing and working on scientific projects outside Spain for
a period of no less than 5 years* at the time of application.

*Note:** time spent abroad (?estancias puntuales en el extranjero?) will
not be considered as a period of residence, nor will the provision of
services as a volunteer or any other form that does not involve financial
remuneration.*

?  *To have led or lead a scientific project as PI*.

?  *Have a proposal from a Spanish public hospital or research center to
carry out a research project.*

?  Submit, together with the host institution, a significant research
project, with its corresponding objectives, chronology and assessment
indicators.

?  Submit a declaration of intention to continue the professional activity
in Spain at the end of the Programme (provided that the minimum conditions
for this are met), in a joint declaration with the host institution.

-          *Host institutions:*

?  *Spanish public hospitals or research centres. IMPORTANT NOTE: Please
check the eligibility of your institution before applying.*

?  Submit, together with the candidate, a five-year research project at the
Spanish center with defined objectives, an established chronology and clear
indicators for assessing its progress.

?  Specify the contributions that the receiving center will make to support
the candidate's project (human and material resources).

?  To identify which facilities and laboratory will be specifically
dedicated to the Programme (with the name).

v  *FURTHER INFORMATION*

-          Results to be published *before the end of 2023*.

-          Please access the following link for further information on the
call:
https://www.fundacionareces.es/fundacionareces/es/programa-de-retonorno-del-talento/

-          Applications must be sent online:
https://www.fundacionareces.es/areaprivada/areaprivada/index.html#/login

If you are interested, please get in touch with us as we are seeking talent
in the area of Mathematical, Computational and Experimental Neuroscience.

Sincerely
Serafim


-- 
Serafim Rodrigues
Ikerbasque Research Professor
Mathematical, Computational and Experimental Neuroscience (MCEN) Group
Leader
*BCAM - *Basque Center for Applied Mathematics
Alameda de Mazarredo, 14
E-48009 Bilbao, Basque Country - Spain
Tel. +34 946 567 842
srodrigues at bcamath.org | www.bcamath.org/srodrigues |
www.ikerbasque.net/serafim-rodrigues

Old Mathematicians never die
They just "tend to infinity"
-Anonymous

*(**matematika mugaz bestalde)*
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From stm at socio.org.uk  Wed Jun 21 06:09:17 2023
From: stm at socio.org.uk (stm socio.org.uk)
Date: Wed, 21 Jun 2023 10:09:17 +0000
Subject: Connectionists: [meetings] [news] 2nd CfP: IJCAI23 Robot
	Exhibition
In-Reply-To: <CB435793-90B4-4402-B78F-354DB701243E@gmu.edu>
References: <CB435793-90B4-4402-B78F-354DB701243E@gmu.edu>
Message-ID: <LO2P302MB0247E45BC965C7FB7891CFF18D5DA@LO2P302MB0247.GBRP302.PROD.OUTLOOK.COM>

CALL FOR PAPERS

Fifth International Conference on Real-Time Intelligent Systems (RTIS 2023)
October 09-11, 2023
University of Bedfordshire, Luton. UK
(Hybrid mode- Physical/Virtual)
www.socio.org.uk/rtis

Lecture Notes in Networks and Systems by Springer
https://www.springer.com/series/15179

Earlier conferences took place in Taipei, Taiwan (2018); Casablanca, Morocco (2017); Beijing, China (2016). The 5th RTIS will take place at the University of Bedfordshire, UK.

Over the last few years, real-time intelligent computing has radically transformed the human lifestyle. Research on real-time intelligent systems is multi-disciplinary, exploiting concepts from diverse areas such as big data processing, computational intelligence, location-based services, recommendation systems, and multimedia processing. In today?s highly dynamic environment, analysing data in real-time is a must to understand how systems process data, reason the outputs, and anticipate trends in intelligent computing. To this end, this conference will serve as a platform to manifest the ongoing research in the field. Thus, RTIS welcomes theoretically grounded, methodologically sound papers that address aspects related to topics, such as:

Artificial Intelligence Techniques

Artificial Intelligence and Data mining
Streaming data, streaming engines
Trace-based intelligent real-time services
Adaptive vision algorithms
Location-based services
Intelligent Robotic Systems
Collaborative Intelligence
Processing Intelligent Databases

Data capture in real-time
Data quality and cleansing
Intelligent Data Analysis
Intelligent Database Systems
Big Data systems and applications for high-velocity data
Intelligent Information Systems
Privacy and Security in Intelligence
Software Engineering Solutions

Intelligent Soft Computing
Real-time multiprocessor systems
Internet of Things
Architectures for Intelligence
Real-time distributed coding
Smart services and platforms
Real-time modelling user information needs
Wireless Communication

Real-time intelligent communication
Real-time intelligent network solutions
Mobile Smart Systems
Broadband Intelligence
Cloud Computing and Intelligence
Collaborative Intelligence
Analysis in domains such as energy, sensors, Expert Systems
Smart Life Systems

Decision support systems in real time
Multi-agent Intelligent Systems
Multilingual information access
Recommendation systems
Real-time intelligent, alert systems
Real-time remote access systems
Intelligent Transportation Systems
Critical Real-Time Applications
Hybrid Intelligent Systems

Real-time noise removal systems
Event-driven analytics
Intelligent Fuzzy Systems
Machine translation in real time
OLAP for real-time decision support
Crowdsourcing and crowd intelligence
Submission, proceedings

Papers must be submitted online through OpenConf (https://www.socio.org.uk/rtis/paper-submission/). Author instructions and LaTex2e (preferred) and Word macro files are available on the submission page. Submitted papers should be within 14 pages (long papers) and eight pages (short ones), including figures, tables, and references. Authors of accepted papers are required to transfer their copyrights. For a paper to appear in the proceedings, at least one of the authors MUST register for the conference by the camera-ready submission deadline with full registration.

Springer will publish The proceedings in Lecture Notes in Networks and Systems.

Extended versions of the conference papers will be considered for publication in the below journals.

Journal of Computational Methods in Sciences and Engineering (JCMSE)
Future Internet
https://www.mdpi.com/journal/futureinternet
Data
https://www.mdpi.com/journal/data
(For Data and Future Internet, the discounted APC is applicable, which is 50%)
Journal of Digital Information Management
Journal of Intelligent Computing

Venue

The venue is the University of Bedfordshire, UK.

Plenary speakers

Professor Eric Atwell, Professor of Artificial Intelligence for Language
School of Computing, University of LEEDS, UK

Professor Wang
Department of Electrical and Software Engineering
University of Calgary, Canada

Important Dates

Full Paper Submission: July 20, 2023
Notification of Acceptance/Rejection: August 15, 2023
Registration Due:  September  15, 2023
Camera Ready Due: September 15, 2023
Workshops/Tutorials/Demos:  October  08, 2023
Main conference: October 09-11, 2023
Post-conference proceedings:  October  25, 2023

General Chairs

Ricardo Rodriguez-Jorge,  Jan Evangelista Purkyn? University ,  Czech Republic
Mart?n L?PEZ-NORES, University of Vigo, Spain

Program Chairs

Yao-Liang Chung, National Taiwan Ocean University, Taiwan
Pit Pichappan, Digital Information Research Labs, India

Workshop/Special Issues Chair

Ezendu Ariwa, University of Warwick, UK

www.socio.org.uk/rtis
Contact: stm at socio.org.uk
________________________________
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> on behalf of Xuesu Xiao <xiao at gmu.edu>
Sent: 21 June 2023 06:16
To: robotics-worldwide at lists.kit.edu <robotics-worldwide at lists.kit.edu>; robocup-worldwide at lists.robocup.org <robocup-worldwide at lists.robocup.org>; uai at engr.orst.edu <uai at engr.orst.edu>; agents at cs.umbc.edu <agents at cs.umbc.edu>; hri-announcement at listserv.acm.org <hri-announcement at listserv.acm.org>; cvml at lists.auth.gr <cvml at lists.auth.gr>; learningrobots at det.ua.pt <learningrobots at det.ua.pt>; connectionists at mailman.srv.cs.cmu.edu <connectionists at mailman.srv.cs.cmu.edu>
Cc: Benjamin Rosman <benjros at gmail.com>
Subject: Connectionists: [meetings] [news] 2nd CfP: IJCAI23 Robot Exhibition

Dear roboticists and AI researchers,

we are pleased to present the call for expressions of interest in the Robot Exhibition of the 32nd International Joint Conference on Artificial Intelligence (August 19?25, 2023, Macao, S.A.R). IJCAI23 will be a premier international gathering of researchers in AI, and the Robot Exhibition will run alongside the IJCAI23 combined technical program (https://ijcai-23.org/call-for-robot-exhibition/).

Robots are a central focus of AI research and development, providing preeminent examples where cognitive skills (e.g., in perception, decision-making, control) are necessary to cope with complex tasks, and both naturalistic and controlled environments. On the one hand, developing intelligent robot systems involves challenging open research questions in AI. On the other hand, established AI methods are gaining increasing interest and applicability in various domains (e.g., industries, services, space) that involve robots alongside humans.

This exhibition offers a prime space for exhibiting both achieved results and new opportunities for the development and use of AI in Robotics in the real world to a large audience of professional AI researchers from academia and industry. The exhibition seeks to involve both academic and industrial groups interested in the combination of AI and Robotics. The exhibition will thus provide an outstanding opportunity for universities, research organizations, and companies to showcase their research on the world stage.

We invite expressions of interest for demonstrations of robotic systems, software, and tools that exploit AI methods and technologies, and that would be of interest to the broad AI community. Expressions of interest should include:
A one-page description (in IJCAI format) of:
? the proposing group/company,
? the robotic technology to be demonstrated,
? the relevance of this technology to AI.
A video of up to two minutes demonstrating the system in action; the video should be at most 100MB, in mp4 format. Please include your title and authorship info in the opening of the video.

Submission website: https://cmt3.research.microsoft.com/IJCAI2023/

Expressions of interest will be evaluated according to the following criteria:
Relevance:  What is the relevance of the shown demonstration to AI?
Understandability:  How amenable is the showcase to technical and non-technical audiences?

IMPORTANT DATES
Submission of expressions of interest: June 30, 2023
Notification of acceptance: July 15, 2023
Note: all deadlines are Anywhere on Earth (AoE).

IJCAI 2023 Robot Exhibition Chairs

Xuesu Xiao, George Mason University
Benjamin Rosman, University of the Witwatersrand

Please, send all enquiries about the Robot Exhibition Track to the track Co-Chairs via email: robots at ijcai-23.org<mailto:robots at ijcai-23.org>


-----------------------
Xuesu Xiao, Ph.D.
--
Assistant Professor
Department of Computer Science
George Mason University
xiao at gmu.edu<mailto:xiao at gmu.edu>
https://cs.gmu.edu/~xiao/

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From triesch at fias.uni-frankfurt.de  Wed Jun 21 08:40:26 2023
From: triesch at fias.uni-frankfurt.de (Jochen Triesch)
Date: Wed, 21 Jun 2023 14:40:26 +0200
Subject: Connectionists: Angelo Cangelosi speaking on June 28 in Developing
 Minds global online lecture series
Message-ID: <23D3B9DD-7F25-4564-BD60-A1DDCE635D4D@fias.uni-frankfurt.de>

Dear colleagues,

On June 28, the Developing Minds global online lecture series will feature Angelo Cangelosi from U. of Manchester, UK, speaking on: "Developmental Robotics for Language Learning, Trust and Theory of Mind?.

The live event will take place via zoom at:
9:00 am EDT (Eastern Daylight Time, US)
13:00 UTC (Universal Coordinated Time)
2:00 pm BST (British Summer Time)
15:00 CET (Central European Time)
22:00 JST (Japan Standard Time)

To participate please register here:
https://sites.google.com/view/developing-minds-series/home

Abstract:
Growing theoretical and experimental research on action and language processing and on number learning and gestures clearly demonstrates the role of embodiment in cognition and language processing. In psychology and neuroscience, this evidence constitutes the basis of embodied cognition, also known as grounded cognition (Pezzulo et al. 2012). In robotics and AI, these studies have important implications for the design of linguistic capabilities in cognitive agents and robots for human-robot collaboration, and have led to the new interdisciplinary approach of Developmental Robotics, as part of the wider Cognitive Robotics field (Cangelosi & Schlesinger 2015; Cangelosi & Asada 2022). During the talk we will present examples of developmental robotics models and experimental results from iCub experiments on the embodiment biases in early word acquisition and grammar learning (Morse et al. 2015; Morse & Cangelosi 2017) and experiments on pointing gestures and finger counting for number learning (De La Cruz et al. 2014). We will then present a novel developmental robotics model, and experiments, on Theory of Mind and its use for autonomous trust behavior in robots (Vinanzi et al. 2019, 2021). The implications for the use of such embodied approaches for embodied cognition in AI and cognitive sciences, and for robot companion applications will also be discussed.

Selected References:
   ? Cangelosi A, Asada M (Eds.) (2022). Cognitive Robotics. Cambridge, MA: MIT Press.
   ? Cangelosi A, Schlesinger M (2015). Developmental Robotics: From Babies to Robots. Cambridge, MA: MIT Press.
   ? De La Cruz V., Di Nuovo A., Cangelosi A., Di Nuovo S. (2014). Making fingers and words count in a cognitive robot. Frontiers in Behavioral Neuroscience, 8, 13 10.3389/fnbeh.2014.00013
   ? Morse A., Belpaeme T, Smith L, Cangelosi A. (2015). Posture affects how robots and infants map words to objects PLoS ONE, 10(3) 10.1371/journal.pone.0116012
   ? Morse A, Cangelosi A (2017). Why are there developmental stages in language learning? A developmental robotics model of language development. Cognitive Science. 10.1111/cogs.12390
   ? Pezzulo G., Barsalou L.W., Cangelosi A., Fischer M.H., McRae K., Spivey M. (2013). Computational grounded cognition: A new alliance between grounded cognition and computational modelling. Frontiers in Psychology, 6(612), 1-11. 10.3389/fpsyg.2012.00612
   ? Vinanzi, S., Patacchiola, M., Chella, A., & Cangelosi, A. (2019). Would a robot trust you? Developmental robotics model of trust and theory of mind. Philosophical Transactions of the Royal Society B, 374(1771), 20180032. 10.1098/rstb.2018.0032
   ? Vinanzi S., Cangelosi A., Goerick C. (2021). The collaborative mind: Intention reading and trust in human-robot interaction. iScience, 24(2), 102130 10.1016/j.isci.2021.102130

Short Bio:
Angelo Cangelosi is Professor of Machine Learning and Robotics at the University of Manchester (UK) and co-director and founder of the Manchester Centre for Robotics and AI. He holds an European Research Council (ERC) Advanced grant. He also is Turing Fellow at the Alan Turing Institute London. His research interests are in cognitive and developmental robotics, neural networks, language grounding, human robot-interaction and trust, and robot companions for health and social care. Overall, he has secured over ?38m of research grants as coordinator/PI, including the ERC Advanced eTALK, the UKRI TAS Trust Node and CRADLE Prosperity, the US AFRL project THRIVE++, and numerous Horizon and MSCAs grants. Cangelosi has produced more than 300 scientific publications. He is Editor-in-Chief of the journals Interaction Studies and IET Cognitive Computation and Systems, and in 2015 was Editor-in-Chief of IEEE Transactions on Autonomous Development. He has chaired numerous international conferences, including ICANN2022 Bristol, and ICDL2021 Beijing. His book ?Developmental Robotics: From Babies to Robots? (MIT Press) was published in January 2015, and translated in Chinese and Japanese. His latest book ?Cognitive Robotics? (MIT Press), coedited with Minoru Asada, was recently published in 2022.

The talk will be recorded and made available for later viewing. For more information on the talk series and recordings of previous events, please visit:
https://sites.google.com/view/developing-minds-series/home

Best regards,
Jochen Triesch

--
Prof. Dr. Jochen Triesch
Johanna Quandt Chair for Theoretical Life Sciences
Frankfurt Institute for Advanced Studies and
Goethe University Frankfurt
http://fias.uni-frankfurt.de/~triesch/
Tel: +49 (0)69 798-47531
Fax: +49 (0)69 798-47611






From nagai.yukie at mail.u-tokyo.ac.jp  Wed Jun 21 08:50:28 2023
From: nagai.yukie at mail.u-tokyo.ac.jp (nagai.yukie at mail.u-tokyo.ac.jp)
Date: Wed, 21 Jun 2023 12:50:28 +0000
Subject: Connectionists: CFP - IROS 2023 Workshop on World Models and
 Predictive Coding in Cognitive Robotics
Message-ID: <314C5883-EE7C-4F23-9B31-05D42F54DEFF@mail.u-tokyo.ac.jp>

Dear colleagues,

****************************
Call for Posters and Participation
Workshop on World Models and Predictive Coding in Cognitive Robotics
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023)
****************************

We are inviting contributions to our IROS 2023 workshop. We would like to invite workshop attendees to submit an extended abstract explaining their current work related to world models and predictive coding in cognitive robotics.

[ Website ]
https://world-model.emergent-symbol.systems/
Contact email: taniguchi at em.ci.ritsumei.ac.jp (Tadahiro Taniguchi, Ritsumeikan University)

[ Important Dates ]
Paper submission deadline: 5th August 2023
Notification of acceptance: 19th August 2023
Camera-ready submission: 10th September 2023
Workshop day: 5th October 2023

[ Call for Contributions ]
We encourage researchers to submit 1-2 page extended abstracts or a preprint of relevant work. There is no page limitation for the preprint. Accepted abstracts will be posted on the workshop website and will not appear in the official IEEE proceedings. The reviewing process is single-blind and will be carried out by the workshop organizers.

Please submit your extended abstract via the Google form:
https://forms.gle/Sw7UtX1ihtq4vpgA9
(The URL is also provided on the website)

Accepted papers will have the opportunity to present their work/ideas in a poster session. Additionally, a few select submissions will have the chance to give a short talk, while others will give a flash talk.

[ Special Issue ]
Furthermore, a selected number of papers from the poster sessions will be invited to submit their novel work to the Special Issue proposed in the journal "Advanced Robotics.?

[ Awards ]
The Best Cognitive Robotics Paper Award, supported by the Technical Committee of Cognitive Robotics, will be awarded to the best paper. The recipient of the award will receive a prize of $300.

[ Objectives ]
This workshop will explore new frontiers in robotics, focusing on world models, predictive coding, probabilistic generative models, and the free energy principle. The ultimate goal of cognitive and developmental robotics is to create autonomous robots capable of actively exploring their environment, acquiring knowledge, and continuously learning skills. Crucially, to develop robots that learn through interactions with their environment, their learning processes should emulate human cognitive development and learning, which are based on engagement with the physical and social world. This workshop specifically focuses on world models and predictive coding in cognitive robotics. World models have recently garnered significant interest in artificial intelligence, as cognitive systems utilize these models to improve future sensory predictions and optimize their policies or controllers. In neuroscience, predictive coding posits that the brain constantly anticipates its inputs and adjusts its models to manage dynamics and control behavior in its environment. Both concepts may underlie the cognitive development of robots and humans capable of continuous or lifelong learning. The workshop aims to provide a platform for researchers and practitioners in cognitive robotics to exchange ideas and explore new avenues for the development of autonomous cognitive and developmental robots. This enriching experience will contribute to the growth and advancement of the field of cognitive robotics.

[ Invited Speakers ] (planned)
Tetsuya Ogata (Waseda University, Japan)
Pablo Lanillos (Donders Institute for Brain, Cognition, and Behaviour, Netherlands)
Giulio Sandini (Italian Institute of Technology, Italy)
Takamitsu Matsubara (NAIST, Japan)
Beren Millidge (Conjecture, UK)
Danijar Hafner (UC Berkeley, United States)

[ Organizers ]
Tadahiro Taniguchi, Ritsumeikan University
Emre Ugur, Bogazici University
Masahiro Suzuki, The University of Tokyo
Dimitri Ognibene, Universit? degli Studi di Milano-Bicocca
Lorenzo Jamone, Queen Mary University of London
Yukie Nagai, The University of Tokyo
Tatsuya Matsushima, The University of Tokyo
Tetsunari Inamura, Tamagawa University

Best regards,
Yukie, on behalf of the organizers

?
Yukie Nagai, Ph.D.
Project Professor, The University of Tokyo
nagai.yukie at mail.u-tokyo.ac.jp | https://developmental-robotics.jp
CREST Cognitive Feelings: https://cognitive-feeling.jp
CREST Cognitive Mirroring: https://cognitive-mirroring.org



From er.anubajaj at gmail.com  Wed Jun 21 11:47:00 2023
From: er.anubajaj at gmail.com (Anu Bajaj)
Date: Wed, 21 Jun 2023 15:47:00 +0000
Subject: Connectionists: First CFP - 23rd Intelligent Systems Design and
 Applications 2023 - Hybrid Event - Springer Publication
Message-ID: <CANaC68ANWVMRPYbgHKiU1A_4mMyDWstNZOuiDWhKUKi_WO72PQ@mail.gmail.com>

** First Call for Papers - please circulate this CFP to your colleagues and
networks **

-- The 23rd International Conference on Intelligent Systems Design and
Applications (ISDA?23) ?-

*ISDA 2023 Theme: **Large Language Models and Generative Pre-trained
Transformers in the Real World*
============================================================
====================================


*http://www.mirlabs.org/isda23
<http://www.mirlabs.org/isda23>http://www.mirlabs.net/isda23
<http://www.mirlabs.net/isda23>*

Onsite and On the World Wide Web

*Onsite Venues:*
*Olten, Switzerland *: https://en.wikipedia.org/wiki/Olten
*Porto, Portugal* : https://en.wikipedia.org/wiki/Porto
*Vilnius, Lithuania* : https://en.wikipedia.org/wiki/Vilnius
*Kochi, India* : https://en.wikipedia.org/wiki/Kochi


*December 11-13, 2023*

ISDA 2023 will be a hybrid conference that will run fully in-person and
fully virtually to take advantage of the best that the two modalities can
offer. Besides regular paper presentations, the technical programme will
include 8-10 plenary lectures and poster sessions. ISDA 2023 Organising
Committee also recognises the benefits of virtual conferences allowing
participation at a cheaper rate. This allows a higher number of research
scholars and students to attend. Selected authors will have the option to
attend and present the papers virtually or present in one of the three
venues in Europe and Asia.

As usual, proceedings of ISDA'23 are expected to be published with Springer
Verlag in their Lecture Notes in Networks and Systems (LNNS) series. (
https://www.springer.com/series/15179).

Proceedings of ISDA?22: https://link.springer.com/
book/10.1007/978-3-031-27440-4
Indexed by: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI
Compendex, Japanese Science and Technology Agency (JST), SpringerLink

History of ISDA series: https://www.mirlabs.org/isda23/previous.php

**Important Dates**
---------------------
Paper submission due: September 30, 2023
Notification of paper acceptance: October 31, 2023
Registration and Final manuscript due: November 10, 2023
Conference: December 11-13, 2023

**About ISDA 2023**
------------------

The International Conference on Intelligent Systems Design
and Applications (ISDA) is a major international conference
bringing together researchers, engineers, and practitioners
who work in the areas of intelligent systems and their applications
in industry and the real world. Every year, ISDA attracts
authors from over 30 countries. After the success of the
22nd conference, which was held online, this year's event
will be held in hybrid mode (onsite and online) during December 12-14, 2023.

ISDA 2023 is expected to provide an opportunity for
researchers to meet and discuss the latest solutions,
scientific results, and methods in solving intriguing
problems in the fields of artificial intelligence and
its real-world applications. The conference programme
will include workshops, special sessions, tutorials,
prominent keynote speakers, and regular paper presentations
in parallel tracks. All submitted papers will be reviewed
by experts in the field based on the criteria of originality,
significance, quality, and clarity. Conference contents will
be submitted for inclusion in Springer and other Abstracting
and Indexing (A&I) databases.

**Topics (not limited to)**
---------------------------

Intelligent Systems Architectures and Applications
Intelligent Image and Signal Processing
Intelligent Internet Modeling
Intelligent Data mining
Intelligent Business Systems
Intelligent Control and Automation
Intelligent Agents
Intelligent Knowledge Management
Innovative Information Security
Innovative Networking and Communication Techniques
Web Intelligence
Intelligent Software Engineering

***Submission Guidelines***
------------------------------------------

Submission of a paper should be made through the submission page
from the conference web page. Please refer to the conference website
for guidelines to prepare your manuscript.

*Paper format templates:*
https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-
preparation/5636#c3324

*ISDA?23 Submission Link:*
http://www.mirlabs.org/isda23/submission.php (updated soon)


*** ISDA 2023 Organization ***
----------------------------------------------
General Chairs
Ajith Abraham, Machine Intelligence Research Labs, USA
Thomas Hanne, University of Applied Sciences and Arts Northwestern
Switzerland, Switzerland
Patrick Siarry, Universit? Paris-Est Cr?teil, France

Program Chairs
Tzung-Pei Hong, National University of Kaohsiung, Taiwan
Sabri Pllana, Center for Smart Computing Continuum, Forschung Burgenland,
Austria

Publication Chair
Anu Bajaj, Thapar Institute of Engineering and Technology, India

Web Services Chair
Kun Ma, University of Jinan, China

Publicity Chair
Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India

International Program Committee
TBA


Note: If you would like to propose a special session, please email Ms.
Mabrouka Salmi <salmimabrouka7 at gmail.com> with a cc to Dr. Anu Bajaj <
er.anubajaj at gmail.com>

***Technical Contact***
------------------------------------
Dr. Ajith Abraham
Email: ajith.abraham at ieee.org
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From haicareers at uts.edu.au  Thu Jun 22 04:40:38 2023
From: haicareers at uts.edu.au (HAI Careers)
Date: Thu, 22 Jun 2023 08:40:38 +0000
Subject: Connectionists: =?utf-8?q?Job_Opening=3A_Multiple_PhD/PostDoc_pos?=
 =?utf-8?q?itions_at_University_of_Technology_Sydney_=28UTS=29=2C_Australi?=
 =?utf-8?q?a_=E2=80=93_Human-centric_AI_centre?=
In-Reply-To: <23D3B9DD-7F25-4564-BD60-A1DDCE635D4D@fias.uni-frankfurt.de>
References: <23D3B9DD-7F25-4564-BD60-A1DDCE635D4D@fias.uni-frankfurt.de>
Message-ID: <SYCPR01MB32135D1FF3ED311EDD1E6AB9C122A@SYCPR01MB3213.ausprd01.prod.outlook.com>

Become a postdoctoral researcher or PhD student at the Human-centric AI Centre (HAI) at the University of Technology Sydney, Australia and work in frontier research in the areas of deep machine learning, trusted AI, trustworthy human-autonomy teaming, natural BCIs, reliable GPT, extended reality and swarm intelligence.
We are seeking applicants for PhD scholarships and postdoctoral research positions with prior experience and skills in some of the following areas:

  *   machine learning fundamentals and generative models
  *   deep learning optimisation and reinforcement learning
  *   brain-computer interfaces
  *   drones and robotics
  *   trusted AI
  *   extended reality

Salary: A$98.000 per year (PostDoc), A$36.000 per year (PhD)

About HAI
At HAI (led by Prof. Chin-Teng Lin<https://profiles.uts.edu.au/Chin-Teng.Lin>) we are preparing for the Fifth Industrial Revolution that will see the creation of human-centred solutions using AI and automation, firmly putting humans at the centre of AI.
Our fundamental and foundational research focuses on challenges in developing synergies between natural and artificial intelligence, strengthening collaborative decision-making and control between humans, AI and machines, and creating trust between humans and AI.
We translate our research into real-world applications that can be used in a wide range of industries and sectors including advanced manufacturing, mining, transport, agriculture, healthcare and cybersecurity and in situations where reliability, trust, safety and speed are paramount.
Working and studying within the HAI Centre gives you access to a highly talented and multi-disciplinary team. You will work on exciting projects, allowing you to gain further knowledge in human-centric AI. You will also increase your skills in research management, collaboration with industry and research partners, and research teamwork.
For further information visit www.uts.edu.au/research/human-centric-artificial-intelligence-centre<http://www.uts.edu.au/research/human-centric-artificial-intelligence-centre>.

About You
To be considered for a position you will have:

  *   outstanding academic merit
  *   mathematics, analytical and problem-solving skills
  *   skills in at least one of Python, C, C++ or C#
  *   a demonstrated capacity to work independently and as part of a research team
  *   highly effective English communication and technical and academic writing skills
  *   strong interpersonal skills
Of advantage will be:

  *   graduated from a top university
  *   industry experience
In addition, applicants for postdoctoral research positions will have:

  *   a PhD in Computer Science, Electrical Engineering, Robotics, Neuro-engineering or in a closely related field
  *   excellent student engagement and supervision skills
  *   experience in research grant applications
  *   previously published papers in reputable international conferences or journals
  *   a demonstrated ability to publish in high-quality journals and conferences

About UTS
UTS is the No. 1 university in Australia in AI and the No. 10 university in AI in the world. It also ranks as the top young university in Australia.
Our vision is to be a leading public university of technology recognised for our global impact. We are known for our innovative teaching. We are committed to practical innovation and research that benefits industry and society. We believe in social change to create a more just and equal world.
Applications
To apply please provide the following:

  *   1-page cover letter outlining your relevant experience and specific interests
  *   CV outlining your skills
  *   copies of academic transcripts for all degrees completed
  *   contact details of two academic referees
Earliest starting date: Aug 2023
Email: haicareers at uts.edu.au<mailto:haicareers at uts.edu.au>
Applications will be reviewed immediately and will continue until positions are filled.

UTS CRICOS Provider Code: 00099F DISCLAIMER: This email message and any accompanying attachments may contain confidential information. If you are not the intended recipient, do not read, use, disseminate, distribute or copy this message or attachments. If you have received this message in error, please notify the sender immediately and delete this message. Any views expressed in this message are those of the individual sender, except where the sender expressly, and with authority, states them to be the views of the University of Technology Sydney. Before opening any attachments, please check them for viruses and defects. Think. Green. Do. Please consider the environment before printing this email.
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From r.pascanu at gmail.com  Thu Jun 22 05:27:26 2023
From: r.pascanu at gmail.com (Razvan Pascanu)
Date: Thu, 22 Jun 2023 10:27:26 +0100
Subject: Connectionists: CfP: 2nd Workshop on Lifelong Learning Agents
 (CoLLAs - Workshop Track) 2023 - Deadline July 07
Message-ID: <CAPh3EDirQ0P0sqP3jApt77rXnANXKucHq7Y2VHaUfWU5J1QPuQ@mail.gmail.com>

Dear All,

Apologies for cross-posting.

We invite submissions to the Workshop track of CoLLAs that describe new
theory, methodology or new insights into existing algorithms and/or
benchmarks. This is a non-archival track of the conference.  Topics of
submission may include, but are not limited to, Reinforcement Learning,
Supervised Learning or Unsupervised Learning approaches for:


   -

   Lifelong Learning / Continual Learning
   -

   Meta-Learning
   -

   Multi-Task Learning
   -

   Transfer Learning
   -

   Domain Adaptation
   -

   Few-Shot Learning
   -

   Out-Of-Distribution Generalization
   -

   Online Learning



The conference also welcomes submissions at the intersection of machine
learning and neuroscience and applications of the topics of interest to
real-world problems. Submitted papers will be evaluated based on their
novelty, technical quality, and potential impact. Experimental methods and
results are expected to be reproducible, and authors are strongly
encouraged to make code and data available. We also encourage submissions
of proof-of-concept research that puts forward novel ideas and demonstrates
potential, as well as in-depth analysis of existing methods and concepts.

The conference also welcomes submissions at the intersection of machine
learning and neuroscience and applications of the topics of interest to
real-world problems. This track is non-archival, and we accept submissions
of published work within the last year, or works that are currently under
review. As well as work in progress and preliminary results. The goal is to
disseminate information as fast as possible and to foster communication and
collaboration within the community.

Key Dates

The planned dates are as follows:

   - Submission deadline: July 07, 2023, 11:59 pm (AoE)
   - Notifications: July 13, 2023
   - Main conference dates: August 22-24, 2023

Review Process

Papers will receive a light review, focused on the correctness of the
presented material. Accepted work will be presented as posters during the
workshop track of the conference. The reviews process will be hosted on
OpenReview
<https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2023/Workshop_Track>
with submissions and reviews being private until a decision is made.
Formatting and Supplementary Material

Submissions should be in the form of an extended abstract of 4 pages using
the single-column CoLLAs 2023 format, plus unlimited pages for references
and appendices. The appendices should be within the same pdf file as the
extended abstract, however an additional zip file can be submitted that can
include multiple files of different formats (e.g. videos or code). Note
that reviewers are under no obligation to examine the appendix and the
supplementary material.

For previously published works (within the last year), the original paper
can be submitted as is, specifying to which venue the work has been
accepted.

Please format the paper using the official LaTeX style files that can be
found on overleaf  here <https://www.overleaf.com/read/bjccsphsgsbs> or on
github here <https://github.com/collas-conf/collas_2023_latex_template>. We
do not support submissions in formats other than LaTeX. Please do not
modify the layout given by the style file. For any questions, you can reach
us at: contact at lifelong-ml.cc.

Submissions will be through OpenReview.
<https://openreview.net/group?id=lifelong-ml.cc/CoLLAs/2023/Workshop_Track>
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From C.Campbell at bristol.ac.uk  Thu Jun 22 05:38:17 2023
From: C.Campbell at bristol.ac.uk (Colin Campbell)
Date: Thu, 22 Jun 2023 09:38:17 +0000
Subject: Connectionists: Professor of AI at Bristol
In-Reply-To: <2473283632877344.WA.Peter.Flachbristol.ac.uk@www.jiscmail.ac.uk>
References: <2473283632877344.WA.Peter.Flachbristol.ac.uk@www.jiscmail.ac.uk>
Message-ID: <DB7PR06MB59323AB0854FFA977A3B36E0CE22A@DB7PR06MB5932.eurprd06.prod.outlook.com>

Subject: Professor of AI at Bristol

There is still time to apply for this full Professorship (but not much ? deadline 25 June)!

Bristol.AI is going from strength to strength, and there was never a better time to join a world-class team that has a clear vision for AI. Single-track AI doesn't work, we have the diversity of approaches to address this, and we put the human firmly at the centre. Ping me if you want to discuss.

The Department of Engineering Mathematics at the University of Bristol is seeking an outstanding candidate to fill the role of Professor in Artificial Intelligence.

You will have the opportunity to provide visionary leadership to the department and its staff, students, & partners, helping to strengthen and further develop our already impressive research and teaching programs in AI. Our Intelligent Systems Group supports the Faculty of Engineering's AI/Data Science Theme, fostering an inclusive environment for all.

If you are an exceptional candidate with a passion for AI and a track record of excellence in leadership, research, & teaching, we encourage you to apply today.

Join us in shaping the future of AI and making a lasting impact.

https://www.jobs.ac.uk/job/DAE953/professor-of-artificial-intelligence


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From ioannakoroni at csd.auth.gr  Thu Jun 22 09:26:50 2023
From: ioannakoroni at csd.auth.gr (Ioanna Koroni)
Date: Thu, 22 Jun 2023 16:26:50 +0300
Subject: Connectionists: =?utf-8?q?New_edition_=285/2023=29_of_the_book_?=
	=?utf-8?q?=E2=80=9CArtificial_Intelligence_Science_and_Society_Par?=
	=?utf-8?q?t_A=E2=80=9D_=28Amazon/Kindle=29__treating_ChatGPT=2C_La?=
	=?utf-8?q?rge_Language_Models_=28LLMs=29__and_Artificial_General_I?=
	=?utf-8?q?ntelligence_=28AGI=29?=
References: <1A8A0CE5-DA59-418F-B7F6-CD96AAEB6F6C@gmail.com>
 <000001d9960d$ba988800$2fc99800$@csd.auth.gr>
 <1334FE83-21D4-4E93-B596-E4E7174CD275@gmail.com>
 <013001d9a4fb$04c646f0$0e52d4d0$@csd.auth.gr> 
Message-ID: <396a01d9a50d$3486d5f0$9d9481d0$@csd.auth.gr>

Dear AI professional, student, enthusiast,

 

a new edition (May 2023) of ?Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology? (paperback and e-book versions only) is now available in Amazon/Kindle.

Thought the first edition (October 2023) of this 4-volume book was quite prophetic on various AI topics (e.g., on the development of Deep Arts, or the very slow adoption of Metaverse), I felt the need to add two sections in its Part A on Large Language Models (LLMs)  and Artificial General Intelligence (AGI) to clarify issues that sprang out of ChatGPT success, primarily on AI technophobia and on the long-term AI prospects.  

AI Science and Engineering is un upcoming scientific discipline that can fuse AI, brain and mind studies and social engineering in a new scientific discipline. It has huge impact on both our society and environment.    The new book ?Artificial Intelligence Science and Society? consists of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner. They are published in Amazon/Kindle.

The first volume ?Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology?  <https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860> https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 overviews the entire domain of AI Science/Engineering and Information Technology (IT). It presents various hot AI and IT disciplines, e.g., Deep Learning, Symbolic AI, Signals and Systems, Computer Vision, Robotics and Autonomy, Networks and Social Media, Security and Blockchain (partial list). It requires no mathematical/scientific background. Yet it is scientifically precise and clarifies many misunderstandings and wrong concepts that can be routinely found in the related literature. 

Here is just an indicative list of few of the debated topics and grand AI challenges:

*	Are Large Language Models (LLMs)  a precursor of Artificial General Intelligence?
*	Why LLMs hallucinate?
*	Does Generative AI pose a serious threat to humanity?
*	Is AI Science and Technology a scientific discipline in its own right?
*	What is the difference between data, information, and knowledge?
*	How can we quantify knowledge?
*	What is the relation of Machine learning, AI and metadata, semantics and concepts?
*	Can Virtual Reality truly empower meta-societies or is it just a hype? 
*	Can AI-powered human-centred computing surpass human intelligence?
*	Why swarm intelligence is so powerful?
*	How networks analytics and epidemiology explain the propagation of ideas in social media?
*	How can we protect digital documents from tampering?

Part A Table of contents (276 pages): Data, Signals, Systems, Mathematics, Data Acquisition, Processing and Analysis, Data Storage and Search, Computer Vision, Data Visualization, Computer Graphics and Animation, Virtual and Augmented Reality, Audio, Speech, and Text Analysis, Machine Learning. Pattern Recognition, Deep Learning, Information, Metadata, Semantics, Concepts, Symbolic Artificial Intelligence, Knowledge, Anthropocentric Computing, Robotics, Autonomy, Networks and the Internet, The World Wide Web, Social Media, Network analytics, Swarm Intelligence, Software, Computing, Communications, Security, Blockchain. 

Part A provides the scientific background to understand the other three book parts:  AI Science, brain, mind, and humans (Part B), AI and its impact on society, including AI Ethics (Part C) and the impact of AI and Information Science on the environment (Part D). 

*	?Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans? (276 pages)  <https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860> https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860
*	?Artificial Intelligence Science and Society Part C: AI Science and Society? (335 pages)  <https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860> https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860
*	?Artificial Intelligence Science and Society Part D: AI Science and the Environment? (177 pages)

*	 <https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860> https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860

The four book volumes debate and try to forecast the future of AI Science and Engineering, as well as the upcoming Mind and Social Science and Engineering.

 

About the author: This book is a result of a two-year effort by Prof. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). Prof. I. Pitas is Director of the  Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 34500+ citations to his work and h-index 87+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022).

 

Enjoy!

Prof. Ioannis. Pitas

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From Aishwaryaprajna at ontariotechu.ca  Thu Jun 22 13:09:23 2023
From: Aishwaryaprajna at ontariotechu.ca (Aishwaryaprajna .)
Date: Thu, 22 Jun 2023 17:09:23 +0000
Subject: Connectionists: (**Updated deadlines**) CfP for SaSSO Workshop in
	IEEE ACSOS 2023
Message-ID: <35c2268359ff4185a76f5b966e97bf72@ontariotechu.ca>

Hi,


We would like to share the following call for papers with the updated deadlines.


*** CALL FOR PAPERS: Sustainable and Scalable Self-Organisation (SaSSO) Workshop ***
To be held 4th IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2023
In Toronto, Canada from Mon 25 - Fri 29 September 2023

The goal of this inter-disciplinary workshop is to address two contrasting pairs of inter-related research questions:

  *   firstly, the sustainability of self-organisation, given the features of path dependency (where prior decisions significantly constrain present choices); the iron law of oligarchy which identifies the tendency of self-organisation to slide into oligarchy; and the avoidance of tyranny at the core of Ober?s Basic Democracy;
  *   secondly, and conversely, self-organisation for sustainability building towards the UN Sustainability goals, along with developments  considering the pioneering work of Ostrom?s self-governing institutions for common-pool resource management, but also considering self-sustainability, e.g. in the form of cooperative survival dilemmas;
  *   thirdly, scalability of self-organisation, for example as the number of components in a system changes over time, how are structures and processes for decision-making, dispute resolution and monitoring affected by such changes, even with new ?generations?; and
  *   fourthly, and conversely, self-organisation for scalability, both for pro-active management of anticipated growth or contraction, but also how the values or incentives implied by self-organised rules change over time (the rule-based equivalent of concept drift).

Workshop organizers:

  *   Ada Diaconescu
  *   Peter Lewis
  *   Jeremy Pitt

More information can be found on the workshop?s website: https://amertzani.github.io<https://amertzani.github.io/>
IMPORTANT DATES (** Updated **):

  *   July 10th - Deadline for Paper Submission
  *   July 24th - Acceptance/Rejection Notification
  *   August 5th: Final/Camera-ready Copy Submission Deadline (as per ACSOS main track)

PAPER SUBMISSION INSTRUCTIONS:

Authors are invited to submit full workshop papers of up to 6 pages as well as extended abstracts of up to 2 pages (containing, new and wacky ideas, work in progress, or work published elsewhere) in the ACSOS paper formatting guidelines. Submissions to the workshop are free of change and they are required to be formatted according to the standard IEEE Computer Society Press proceedings style guide<https://www.ieee.org/conferences/publishing/templates.html>.



Many thanks and best regards,

Aish



------

Dr. Aishwaryaprajna (she/her)

Postdoctoral Research Fellow, Trustworthy Artificial Intelligence Lab

Sessional Lecturer, Faculty of Business and Information Technology

Ontario Tech University, Canada



From almayalanis at gmail.com  Thu Jun 22 20:14:35 2023
From: almayalanis at gmail.com (Alma Y. Alanis)
Date: Thu, 22 Jun 2023 18:14:35 -0600
Subject: Connectionists: Last chance to contribute at computational
 intelligence for fault detection and isolation at 2023 IEEE SSCI
Message-ID: <CALQM6ieASp=wB17RSn2PDm-GSGO84M5D4XEyVpAbyegZ1yqXoQ@mail.gmail.com>

----------------------------------------------------------------------------------------
Please distribute
(Apologies for cross posting)
----------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------
Dear colleague, you are cordially invite to participate in



Special Session on Computational Intelligence for Fault Detection and
Isolation (CIFDI)
<https://attend.ieee.org/ssci-2023/special-session-computational-intelligence-for-fault-detection-and-isolation/>


https://attend.ieee.org/ssci-2023/special-session-computational-intelligence-for-fault-detection-and-isolation/


*at*



*2023 IEEE Symposium Series on Computational Intelligence*
<https://attend.ieee.org/ssci-2023/>

*December 5th ? 8th 2023, Mexico City, Mexico*

https://attend.ieee.org/ssci-2023/



The 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023) is
a flagship annual meeting organized by the IEEE Computational Intelligence
Society. It serves as a primary forum for multidisciplinary research in
computational intelligence.



Computational intelligence has become increasingly important for fault
detection and isolation in a wide range of systems, including manufacturing
processes, power grids, and transportation systems.



By analyzing large volumes of data generated by these systems, machine
learning algorithms can identify patterns and detect anomalies that might
indicate the presence of faults or errors.



These algorithms can also be used to predict when faults might occur,
allowing for preventative maintenance and reducing the risk of downtime or
safety hazards.



In addition, computational intelligence techniques can aid in isolating the
cause of a fault, which can be crucial for efficient repairs and minimizing
the impact on the overall system



As such, computational intelligence for fault detection and isolation
represents a promising approach for improving the safety, reliability, and
efficiency of complex systems.





*Submission instructions*
Contributions have to be submitted through the regular SSCI submission
system at https://attend.ieee.org/ssci-2023/author/

Paper Submissions: *June 30, 2023*



*Special Session Chairs*

*Alma Y. Alanis*

alma.alanis at academicos.udg.mx

Universidad de Guadalajara, Mexico

*Juan Anzurez-Marin*

j.anzurez at ieee.org

Universidad Michoacana de San Nicolas de Hidalgo, Mexico
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From zren at uni-bremen.de  Thu Jun 22 10:38:35 2023
From: zren at uni-bremen.de (Zhao Ren)
Date: Thu, 22 Jun 2023 16:38:35 +0200
Subject: Connectionists: Call for papers: Submission to special session
 proposal in ICASSP 2024
Message-ID: <20230622163835.Horde.3QX8hnaHzOJi1WSeJyUYHF-@webmail.uni-bremen.de>

Dear communities,

we are recently planning to organise a special session in ICASSP 2024  
which will be in Seoul, Korea (https://2024.ieeeicassp.org).
  If the you are interested to submit a paper, we will include the  
information from the potential authors in our proposal,  
including?TITLE,?AUTHORS, AFFILIATIONS, AND SHORT ABSTRACTS.

As the submission deadline of the proposal is?28 June 2023?and only a  
few abstracts can be further included, it would be great to get  
contact with me about your interest by?23 JUNE 2023.?The abstract will  
be expected by?28 JUNE 2023.

You can find more information about the special session:
**********************
SPECIAL SESSION: AI SECURITY AND PRIVACY IN?BIOSIGNAL?PROCESSING FOR  
HEALTHCARe
Security and privacy have become increasingly important, as artificial  
intelligence (AI) begins to influence our daily lives. To train robust  
models and make accurate predictions, machine learning models'  
security levels are essential to be enhanced. Recent research has  
shown that deep learning models are susceptible to external attacks  
including adversarial attacks and spoofing attacks. Spoofing attacks  
deceive AI systems by pretending to be someone else, whereas  
adversarial attacks produce hostile samples that humans cannot tell  
apart from actual data. The issue is how to increase the model's  
defences against attacks. Additionally, it is crucial to uphold data  
protection laws like the General Data Protection Regulation (GDPR), in  
order to preserve users? privacy and personal information. For  
instance, it is challenging to protect users? privacy?when?uploading  
personal data to cloud servers.?


The processing of biosignals, such as acoustic signals, heart rates,  
and brain and muscle activities, has been investigated and  
successfully used in the healthcare domain for several decades.  
Numerous research studies on biosignal processing have incorporated  
AI, particularly deep learning, with great success. Security and  
privacy of AI systems are two crucial challenges in the healthcare  
area due to the highly sensitive nature of health-related data and the  
increasing demand for robust, trustworthy, and reliable AI systems for  
healthcare applications.?


   ?


   With this special session, we expect to attract high-quality  
research works in AI security and privacy in biosignal processing for  
healthcare. The topics include, but are not limited to:?


   - Federated learning for processing multi-client biosignal data??

   - Generating adversarial biosignal data for deceiving AI models?

   - Algorithms for protecting AI models against attacks??

   - Machine unlearning for forgetting users? data?

   - Exploration of explainable AI in improving interpretability?

Session organisers:
Zhao Ren, University of Bremen, Germany
Bj?rn W. Schuller, Imperial College Lodon, UK
Tanja Schultz, University of Bremen, Germany
************************


Thank you very much and best regards,

Zhao
?
  Dr.-Ing. Zhao Ren
Cognitive Systems Lab (CSL)
University of Bremen
Germany
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From m.baratchi at liacs.leidenuniv.nl  Fri Jun 23 02:57:06 2023
From: m.baratchi at liacs.leidenuniv.nl (Baratchi, M. (Mitra))
Date: Fri, 23 Jun 2023 06:57:06 +0000
Subject: Connectionists: PhD Vacancy in the Netherlands: interpretable
 causal machine learning for intervention development from wearable sensors
Message-ID: <67D1AECD-8513-48D4-945A-3AC7C2763F40@liacs.leidenuniv.nl>

The Faculty of Science Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a (Important: please check the selection criteria before applying):

PhD Candidate, Interpretable causal machine learning for intervention development from wearable sensors data


We are looking for an excellent candidate with a master?s degree in MSc in Artificial Intelligence, Computer Science, Mathematics, Statistics, or a closely related field to join a project focused on
developing an advanced transparent machine learning framework with application on movement behavioural analysis.

Smartwatches and other wearable technologies allow us to continuously collect data on our daily movement behaviour patterns. We would like to understand how machine learning techniques can be used to learn causal effects from time-series data to identify and recommend effective changes in daily activities (i.e., possible behavioural interventions) that are expected to result in concrete health improvements (e.g., improving cardiorespiratory fitness). This research, at the intersection of machine learning and causality, aims to develop algorithms for finding causal relations between behavioural indicators learned from the time series data and associated health-outcomes.

This project is defined within the LABDA (Learning Network for Advanced Behavioural Data Analysis) European project: LABDA is an EU-funded Marie Sklodowska Curie Action (MSCA) Doctoral Network, that brings together leading researchers in advanced movement behaviour data analysis at the intersection of data science, method development, epidemiology, public health, and wearable technology to train a new generation of creative and innovative public health researchers via training-through-research. The main aims of LABDA are to establish novel methods for advanced 24/7 movement behaviour data analysis of sensor-based data, examine the added value of advanced behavioural data analysis and multi-modal data for predicting health risk and facilitate the use and interpretability of the advanced methods for application in science, policy and society.

__________

Selection Criteria

All applicants need to fulfill the MSCA basic requirements (applications that do not meet these requirements will not be reviewed):

?    PhD candidate: all researchers recruited in a Doctoral Network must be PhD candidates, i.e., not already in possession of a PhD degree at the date of the recruitment;
?    Mobility Rule: doctoral candidates must not have resided or carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.

________
Deadline 15 July

For information visit:
<https://www.universiteitleiden.nl/en/vacancies/2023/q2-english/23-43713858phd-cand.-interpretable-causal-machine-learning-for-intervention-development-from-wearable-sensor>
[twitter-card.png]
PhD Cand., Interpretable causal machine learning for intervention development from wearable sensor<https://www.universiteitleiden.nl/en/vacancies/2023/q2-english/23-43713858phd-cand.-interpretable-causal-machine-learning-for-intervention-development-from-wearable-sensor>
universiteitleiden.nl<https://www.universiteitleiden.nl/en/vacancies/2023/q2-english/23-43713858phd-cand.-interpretable-causal-machine-learning-for-intervention-development-from-wearable-sensor>

Regards,
Mitra

_____
Mitra Baratchi | Assistant professor | Leiden Institute of Advanced Computer Science | Leiden University
m.baratchi at liacs.leidenuniv.nl<mailto:m.baratchi at liacs.leidenuniv.nl> | www.mitrabaratchi.com<http://www.mitrabaratchi.com/>
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From er.anubajaj at gmail.com  Fri Jun 23 04:24:01 2023
From: er.anubajaj at gmail.com (Anu Bajaj)
Date: Fri, 23 Jun 2023 08:24:01 +0000
Subject: Connectionists: First CFP - 23rd Hybrid Intelligent Systems -
	Hybrid Event - Springer Publication
Message-ID: <CANaC68CYgDqop29qkeP+-6AUEOHryvnwgZyNgHX74U_14hr9fw@mail.gmail.com>

 ** First Call for Papers - please circulate this CFP to your colleagues
and networks **

-- The 23rd International Conference on Hybrid Intelligent Systems (HIS'23)
--

HIS 2023 Theme: Hybrid Approaches for Large Language Models and Generative
AI
================================================================

http://www.mirlabs.net/his23
http://www.mirlabs.org/his23

*Onsite and On the World Wide Web*

*Onsite Venues:*
Olten, Switzerland : https://en.wikipedia.org/wiki/Olten
Porto, Portugal : https://en.wikipedia.org/wiki/Porto
Vilnius, Lithuania : https://en.wikipedia.org/wiki/Vilnius
Kochi, India : https://en.wikipedia.org/wiki/Kochi


*December 12-14, 2023*

HIS 2023 will be a hybrid conference that will run fully in-person and
fully virtually to take advantage of the best that the two modalities can
offer. Besides regular paper presentations, the technical programme will
include 8-10 plenary lectures and poster sessions. HIS 2023 Organising
Committee also recognises the benefits of virtual conferences allowing
participation at a cheaper rate. This allows a higher number of research
scholars and students to attend. Selected authors will have the option to
attend and present the papers virtually or present in one of the four
venues in Europe and Asia.

Proceedings of HIS'23 will be published with Springer Verlag in their
Lecture Notes in Networks and Systems (LNNS) series. (
https://www.springer.com/series/15179) (Approval Pending)

Proceedings of HIS'22: https://link.springer.com/
book/10.1007/978-3-031-27409-1

Indexed by: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI
Compendex, Japanese Science and Technology Agency (JST), SpringerLink

History of HIS series: http://www.mirlabs.net/his23/previous.php

**Important Dates**
---------------------
Paper submission due: September 30, 2023
Notification of paper acceptance: October 31, 2023
Registration and Final manuscript due: November 10, 2023
Conference: December 12-14, 2023

**About HIS 2023**
------------------

Hybridization of intelligent systems is a promising research field of modern
artificial/computational intelligence concerned with the development of
the next generations of intelligent systems. A fundamental stimulus to
Hybrid Intelligent Systems (HIS) investigations is the awareness in the
academic communities about the necessity of the combined approaches to
solving the remaining challenging problems in artificial/computational
intelligence. Hybrid Intelligent Systems are recently getting popular
due to their capabilities in handling several real-world complexities
involving imprecision, uncertainty, and vagueness. HIS'23 built on the
success of the previous HIS conferences. HIS'23 is the 23rd
International conference that brings together researchers, developers,
practitioners, and users of soft computing, computational intelligence,
agents, logic programming, and several other intelligent computing
techniques. It aims to increase the awareness of the research community
about the broad spectrum of hybrid approaches. It brings together
worldwide AI researchers to present their cutting-edge results, discuss
the current trends in HIS research, and develop a collective vision of
future opportunities. Thereby helping the researchers and practitioners
establish international collaborative opportunities, and as a result,
advancing the state-of-the-art of the field.

**Topics (not limited to)**
---------------------------

Interactions between neural networks and fuzzy inference systems.
Artificial neural network optimization using global optimization techniques.
Fuzzy clustering algorithms and optimization techniques.
Fuzzy inference system optimization using global optimization algorithms.
Hybrid computing using neural networks - fuzzy systems - evolutionary
algorithms.
Hybrid optimization techniques (evolutionary algorithms, simulated
annealing, tabu search, GRASP etc.).
Hybrid of soft computing and statistical learning techniques.
Models using inductive logic programming, logic synthesis, grammatical
inference, case-based reasoning etc.
Autonomic computing.
Hybridizatiion with novel computing paradigms: Qantum computing, DNA
computing, membrane computing etc.
Hybrid Intelligent Systems: Applications

**Submission Guidelines**
-------------------------

Submission of paper should be made through the submission page
from the conference web page. Please refer to the conference website
for guidelines to prepare your manuscript.

Paper format templates:
https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-
preparation/5636#c3324

HIS?23 Submission Link:
http://www.mirlabs.org/his23/submission.php (under development)


**HIS 2023 Organization**
-------------------------

General Chairs
Ajith Abraham, Machine Intelligence Research Labs, USA
Ana Maria Madureira, ISEP, Porto, Portugal
Cengiz Kahraman, Istanbul Technical University, Turkey

Program Chair
Yuchuan Sun, Beijing Normal University, China

Publication Chair
Anu Bajaj, Thapar Institute of Engineering and Technology, India

Web Services Chair
Kun Ma, University of Jinan, China

Publicity Chair
Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India

International Program Committee
TBA

Note: If you would like to propose a special session, please email Ms.
Mabrouka Salmi <salmimabrouka7 at gmail.com> with a cc to Dr. Anu Bajaj <
er.anubajaj at gmail.com>

**Technical Contact**
---------------------
Dr. Ajith Abraham
Email: ajith.abraham at ieee.org
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From david at irdta.eu  Sat Jun 24 03:21:14 2023
From: david at irdta.eu (David Silva - IRDTA)
Date: Sat, 24 Jun 2023 09:21:14 +0200 (CEST)
Subject: Connectionists: DeepLearn 2023 Summer: regular registration July 14
Message-ID: <337306348.613026.1687591274605@webmail.strato.com>

************************************************************************

10th INTERNATIONAL GRAN CANARIA SCHOOL ON DEEP LEARNING

DeepLearn 2023 Summer

Las Palmas de Gran Canaria, Spain

July 17-21, 2023

https://deeplearn.irdta.eu/2023su/

************************************************************************

Co-organized by:

University of Las Palmas de Gran Canaria

Institute for Research Development, Training and Advice ? IRDTA
Brussels/London

************************************************************************

Regular registration: July 14, 2023

************************************************************************

FRAMEWORK:

DeepLearn 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of BigDat 2023 Summer. DeepLearn 2023 Summer participants will have the opportunity to attend lectures in the program of BigDat 2023 Summer as well if they are interested.

SCOPE:

DeepLearn 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimar?es, Las Palmas de Gran Canaria, Lule?, Bournemouth and Bari.

Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identified through 14 four-hour and a half courses, 2 keynote lectures and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles.

ADDRESSED TO:

Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.

VENUE:

DeepLearn 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be:

Instituci?n Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria

https://www.infecar.es/

STRUCTURE:

2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Also, if interested, participants will be able to attend courses developed in BigDat 2023 Summer, which will be held in parallel and at the same venue.

Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event.

KEYNOTE SPEAKERS:

Alex Voznyy (University of Toronto), Comparison of Graph Neural Network Architectures for Predicting the Electronic Structure of Molecules and Solids

Aidong Zhang (University of Virginia), Concept-Based Explainable Deep Learning Models

PROFESSORS AND COURSES:

Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era

Pierre Baldi (University of California Irvine), [intermediate/advanced] Deep Learning in Science

Nat?lia Cordeiro (University of Porto), [introductory/intermediate] Multi-Tasking Machine Learning in Drug and Materials Design

Daniel Cremers (Technical University of Munich), [intermediate] Deep Networks for 3D Computer Vision

Stefano Giagu (Sapienza University of Rome), [introductory/intermediate] Quantum Machine Learning on Parameterized Quantum Circuits

Georgios Giannakis (University of Minnesota), [intermediate/advanced] Learning from Unreliable Labels via Crowdsourcing

Marcus Liwicki (Lule? University of Technology), [intermediate/advanced] Methods for Learning with Few Data

Chen Change Loy (Nanyang Technological University), [introductory/intermediate] Image and Video Restoration

Deepak Pathak (Carnegie Mellon University), [intermediate/advanced] Continually Improving Agents for Generalization in the Wild

Bj?rn Schuller (Imperial College London), [introductory/intermediate] Deep Multimedia Processing

Amos Storkey (University of Edinburgh), [intermediate] Meta-Learning and Contrastive Learning for Robust Representations

Ponnuthurai N. Suganthan (Qatar University), [introductory/intermediate] Randomization-Based Deep and Shallow Learning Algorithms and Architectures

Savannah Thais (Columbia University), [intermediate] Applications of Graph Neural Networks: Physical and Societal Systems

Lihi Zelnik-Manor (Technion - Israel Institute of Technology), [introductory] Introduction to Computer Vision and the Ethical Questions It Raises

OPEN SESSION:

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david at irdta.eu by July 9, 2023.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023.

EMPLOYER SESSION:

Organizations searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david at irdta.eu by July 9, 2023.

ORGANIZING COMMITTEE:

Aridane Gonz?lez Gonz?lez (Las Palmas de Gran Canaria)
Marisol Izquierdo (Las Palmas de Gran Canaria, local chair)
Carlos Mart?n-Vide (Tarragona, program chair)
Sara Morales (Brussels)
David Silva (London, organization chair)

REGISTRATION:

It has to be done at

https://deeplearn.irdta.eu/2023su/registration/

The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in BigDat 2023 Summer.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.

The fees for on site and for online participation are the same.

ACCOMMODATION:

Accommodation suggestions are available at

https://deeplearn.irdta.eu/2023su/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

QUESTIONS AND FURTHER INFORMATION:

david at irdta.eu

ACKNOWLEDGMENTS:

Cabildo de Gran Canaria

Universidad de Las Palmas de Gran Canaria - Fundaci?n Parque Cient?fico Tecnol?gico

Universitat Rovira i Virgili

Institute for Research Development, Training and Advice ? IRDTA, Brussels/London
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From yaser.amd at gmail.com  Fri Jun 23 05:30:44 2023
From: yaser.amd at gmail.com (Yaser Jararweh)
Date: Fri, 23 Jun 2023 12:30:44 +0300
Subject: Connectionists: =?utf-8?q?AICCSA_2023_CFP=3A_20th_ACS/IEEE_Intern?=
	=?utf-8?q?ational_Conference_on_Computer_Systems_=26_Applications?=
	=?utf-8?q?=2C_4_=E2=80=93_7_December_2023=2C_Giza=2C_Egypt?=
Message-ID: <CAHE3fia8myPoX-P4GNk1sZvA72w9AXoZeufjw=+5SfqsA=gx_g@mail.gmail.com>

*20th ACS/IEEE International Conference on Computer Systems & Applications*

*(AICCSA 2023) 4 ? 7 December 2023*

*https://aiccsa.net/AICCSA2023/* <https://aiccsa.net/AICCSA2023/>



*Submission link: **https://easychair.org/conferences/?conf=aiccsa2023*
<https://easychair.org/conferences/?conf=aiccsa2023>


*AICCSA 2023*

The ACS/IEEE International Conference on Computer Systems and Applications (
AICCSA) is the premier conference covering all contemporary areas in
computer systems and applications and hence it is an international forum
for leading researchers and practitioners in this important and rapidly
changing discipline. AICCSA 2023 will be held in the lovely and highly
vibrant city of Smart Village, Giza, Egypt.


Track 1: Ubiquitous, Parallel and Distributed Computing (including cloud,
IoT, network, sensors, blockchain technologies

Track 2: Security, Privacy, and Trust

Track 3: Data Science, knowledge engineering, and ontologies (including
Information Retrieval, Big Data, Databases, and Knowledge Systems)

Track 4: Artificial Intelligence & Cognitive Systems

Track 5: Natural Language Processing

Track 6: Multimedia, Computer Vision, and Image Processing


*Important Dates:*

*Main Conference*
? Paper submission due date: *30 June , 2023 (Final and Firm)*
? Notification to authors: *15 August, 2023*
? Camera-ready papers and registration : *15 Sept, 2023*



*PhD Forum*
? Paper submission due date:  *30 June* * , 2023 *
? Notification to authors: *15 August, 2023*
? Camera-ready papers and registration : *15 Sept, 2023*

*Tutorial Proposals*
? Tutorial proposals due: *30 June, 2023*
? Notification of acceptance: *30 July, 2023*


*General Co-Chairs*

*Hisham A. Kholidy, *The State University of New York (SUNY), Polytechnic
Institute, USA

*Elhadj Benkhelifa, *Staffordshire University, UK
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From bernstein.communication at fz-juelich.de  Fri Jun 23 12:04:48 2023
From: bernstein.communication at fz-juelich.de (Alexander Lammers)
Date: Fri, 23 Jun 2023 18:04:48 +0200
Subject: Connectionists: Registration for the Bernstein Conference 2023 in
	Berlin is open now
Message-ID: <9d47f596-96f6-5fa1-b9cf-d7f2b886dfe8@fz-juelich.de>

***Registration for the Bernstein Conference 2023 in Berlin is open now***

___

The Bernstein Conference

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries.


www.bernstein-conference.de<http://www.bernstein-conference.de>

___

Important Dates

  *   Bernstein Conference: September 26 - 29, 2023
  *   Abstract submission for posters: July 19, 2023, 15:00 CEST
  *   Travel grant applications: July 19, 2023
  *   Early registration: July 19, 2023

___

Registration

Registration for the Bernstein Conference is open now. Register until July 19, 2023, and profit from reduced conference fees.

All information: https://bernstein-network.de/bernstein-conference/registration/

___

Abstract Submission

We invite the computational neuroscience community to submit their abstracts. The abstract submission for posters is open until July 19, 2023, 15:00 CEST. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI).

Abstract submission: https://bernstein-network.de/bernstein-conference/abstract-submission/

___

Travel Grants

Students, PhD candidates, and postdocs can apply for travel grants.

Travel grant application: https://bernstein-network.de/bernstein-conference/early-career-scientists/travel-grants/

___

Invited Speaker

Keynote

Marlene Cohen (University of Chicago, USA)

Invited Talks

Tiago Branco (Sainsbury Wellcome Center, UK)

Stefano Fusi (Columbia University, USA)

Ann Kennedy (Northwestern University, USA)

Julija Krupic (University of Cambridge, UK)

Wiktor Mlynarski (LMU Munich, Germany / Institute of Science and Technology, Austria)

Adrien Peyrache (McGill University, Canada)

Kanaka Rajan (Icahn School of Medicine at Mount Sinai, USA)

Christopher Summerfield (University of Oxford and Deepmind, UK)

Julia Veit (Albert-Ludwigs-Univesit?t Freiburg, Germany)

___

Conference Committee

Robert G?tig (Conference Chair)

Tatjana Tchumatchenko (Program Chair)

Srdjan Ostojic (Program Vice Chair)

Anna Levina (Workshop Chair)

Maria Eckstein (Workshop Vice Chair)

& Athena Akrami, Ann Hermundstad, Mehrdad Jazayeri, Christian Leibold, Ashok Litwin-Kumar, Ida Momennejad, Nicole Rust, Andrew Saxe, Daniela Vallentin, Friedemann Zenke.

___

Contact

For any further questions, please contact: bernstein.conference at fz-juelich.de<mailto:bernstein.conference at fz-juelich.de>


------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Stefan M?ller
Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens,
Prof. Dr. Astrid Lambrecht, Prof. Dr. Frauke Melchior
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
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From er.anubajaj at gmail.com  Sun Jun 25 12:30:06 2023
From: er.anubajaj at gmail.com (Anu Bajaj)
Date: Sun, 25 Jun 2023 16:30:06 +0000
Subject: Connectionists: First CFP: 19th Information Assurance and Security
 -- Hybrid Event - Springer Publication
Message-ID: <CANaC68BfuURGuiJgdmFd6vtMdb4U1FtLYQ-p4xW0vTwZjueE2A@mail.gmail.com>

 * First Call for Papers - please circulate this CFP to your colleagues and
networks **

-- 19th International Conference on Information Assurance and Security (IAS
2023) --

IAS 2023 Theme: Large Language Models and Generative AI for Information
Security
=======================================================================

http://www.mirlabs.org/ias23
http://www.mirlabs.net/ias23

Onsite and On the World Wide Web


Onsite Venues:
Olten, Switzerland : https://en.wikipedia.org/wiki/Olten
Porto, Portugal : https://en.wikipedia.org/wiki/Porto
Vilnius, Lithuania : https://en.wikipedia.org/wiki/Vilnius
Kochi, India : https://en.wikipedia.org/wiki/Kochi


December 12-14, 2023

IAS 2023 will be a hybrid conference that will run fully in-person and
fully virtually to take advantage of the best that the two modalities can
offer. Besides regular paper presentations, the technical programme will
include 8-10 plenary lectures and poster sessions. IAS 2023 Organising
Committee also recognises the benefits of virtual conferences allowing
participation at a cheaper rate. This allows a higher number of research
scholars and students to attend. Selected authors will have the option to
attend and present the papers virtually or present in one of the three
venues in Europe and Asia.


Proceedings of IAS'23 will be published with Springer Verlag in their
Lecture Notes in Networks and Systems (LNNS) series. (
https://www.springer.com/series/15179) (Approval Pending)

Proceedings of IAS'22: https://link.springer.com/
book/10.1007/978-3-031-27409-1
Indexed by: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI
Compendex, Japanese Science and Technology Agency (JST), SpringerLink

History of IAS series: http://www.mirlabs.net/ias23/previous.php

**Important Dates**
---------------------
Paper submission due: September 30, 2023
Notification of paper acceptance: October 31, 2023
Registration and Final manuscript due: November 10, 2023
Conference: December 12-14, 2023

**About IAS 2023**
---------------------

Information assurance and security have become important
research issues in the networked and distributed information
sharing environments. Finding effective ways to protect information
systems, networks, and sensitive data within the critical information
infrastructure is challenging even with the most advanced technology
and trained professionals. The 19th International Conference on
Information Assurance and Security (IAS) aims to bring together
researchers, practitioners, developers, and policymakers involved
in various information assurance and security disciplines to exchange
ideas and learn the latest development in this crucial field.

**Topics (not limited to)**
---------------------------
Information Assurance, Security Mechanisms, Methodologies and Models
Authentication and Identity
Management Authorization and Access Control
Trust Negotiation, Establishment and Management
Anonymity and User Privacy
Data Integrity and Privacy
Network Security
Operating System Security
Database Security
Intrusion Detection
Security Attacks
Security Oriented System Design
Security and Performance trade-off
Security Management and Strategy
Security Verification, Evaluations and Measurements
Secure Software Technologies
New Ideas and Paradigms for Security
Cryptography
Cryptographic Protocols
Key Management and Recovery
Secure System Architectures and Security Application
Image Engineering, Multimedia Signal Processing and Communication Security

**Submission Guidelines**
-------------------------
Submission of a paper should be made through the submission page
from the conference web page. Please refer to the conference website
for guidelines to prepare your manuscript.

Paper format templates:
https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-
preparation/5636#c3324

IAS?23 Submission Link:
http://www.mirlabs.org/ias23/submission.php



** IAS 2023 Organization **
----------------------------

General Chairs
Ajith Abraham, Machine Intelligence Research Labs, USA
Ana Maria Madureira, ISEP, Porto, Portugal
Cengiz Kahraman, Istanbul Technical University, Turkey

Program Chair
Yuchuan Sun, Beijing Normal University, China

Publication Chair
Anu Bajaj, Thapar Institute of Engineering and Technology, India

Web Services Chair
Kun Ma, University of Jinan, China

Publicity Chair
Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India

International Program Committee
TBA

Note: If you would like to propose a special session, please email Ms.
Mabrouka Salmi <salmimabrouka7 at gmail.com> with a cc to Dr. Anu Bajaj <
er.anubajaj at gmail.com>


**Technical Contact**
--------------------------------
Dr. Ajith Abraham
Email: ajith.abraham at ieee.org
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From info at incf.org  Mon Jun 26 02:09:59 2023
From: info at incf.org (INCF)
Date: Mon, 26 Jun 2023 08:09:59 +0200
Subject: Connectionists: Call for community review: 2 new neuroscience SBPs
Message-ID: <CAOooz1cqrr4ED2BCbFJibMRp7xCj4c5+3TC8cZTMz+oZ=_W9gQ@mail.gmail.com>

Two calls for community review:
1. Digital SWC Reconstructions Describing Neuron Morphology (SWC)
2. SPARC Data Structure

Feedback from the community is an important part of our review process; it
helps us ensure that the standard has community support and is useful and
practical to the community. By commenting, you contribute to improving the
standard for current and future users!

1. Digital SWC Reconstructions Describing Neuron Morphology (SWC)

SWC files (file extension of .swc) are text-based (ASCII text) files that
describe three-dimensional neuronal or glial morphology. These digital
reconstructions represent morphology as a vectorized tree structure, made
of a series of connected nodes. An SWC file contains a series of text-based
rows where each neuron node is described by a single row of only seven
space-separated values. The format is simple and intuitive; a parser of or
writer to the format could be implemented by anyone with knowledge of any
programming language. With an open archive and freely available structure
editor, the SWC system facilitates community-wide pooling of data for
building biophysically realistic neuronal models and studying the
morphological variation between neurons, contributing to a greater
neuroscientific cooperation and openness.

Review by Aug 15

Learn more: incf.org/commentaries/swc
<https://www.incf.org/commentaries/swc>

2. SPARC Data Structure

Financially backed by the NIH Common Fund, SPARC is a large-scale project
which aims to deepen our knowledge of nerve-organ interactions. With an
initial focus on bioelectronic medicine, the SPARC consortium created the
SPARC data structure (SDS), a file and metadata organizational scheme
inspired by the Brain Imaging Data Structure (BIDS). This data structure
has proven capable of handling complex datasets from multiple and
heterogeneous species, measurement techniques, and spatial scales. One of
the primary purposes of SDS is to increase the integrity of scientific
research by promoting FAIR and open science practices, particularly by
facilitating the generation of well-annotated, organized, standardized, and
shared biomedical datasets.

Review by Aug 15

Learn more: incf.org/commentaries/sparc
<https://www.incf.org/commentaries/sparc>

Thanks for your help!
/The INCF Team
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From bhammer at techfak.uni-bielefeld.de  Mon Jun 26 05:17:03 2023
From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer)
Date: Mon, 26 Jun 2023 11:17:03 +0200
Subject: Connectionists: =?utf-8?q?Talk_by_Hinrich_Sch=C3=BCtze_on_LLM?=
Message-ID: <94A68967-328C-40E1-BEFA-CF1D1536BB06@techfak.uni-bielefeld.de>

Dear colleagues,

I would like to draw your attention to a talk in the lecture series of the large scale project SAIL (www.sail.nrw <http://www.sail.nrw/>):

When: July 6, 16-17:30 CEST
Who: Dr Hinrich Sch?tze, LMU (Homepage of Hinrich Sch?tze's lab <https://schuetze.cis.lmu.de/>) 
Where: Zoom link <https://uni-bielefeld.zoom.us/j/64775735478?pwd=TFpEUVFPME5EQXFKMHZHY1ZsM2Y4Zz09>
Title: "Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages"

Abstract: Large language models (LLMs) are currently the most active area of research in NLP. Most work has focused on what we call "vertical" scaling: making LLMs even better for a relatively small number of high-resource languages. We address "horizontal" scaling instead: extending LLMs to a large subset of the world's languages, focusing on low-resource languages. Our Glot500-m model is trained on 500 languages, many of which are not covered by any other language model. I will talk about the major challenges we faced in creating Glot500: (i) finding, validating and cleaning training data for that many languages; (ii) evaluating performance of Glot500-m on languages for which native speakers and labeled datasets were not available to us; and (iii) determining the factors that ultimately make training on a language successful. We find that trying to reduce such factors to the so-called curse of multilinguality is naive and there is in fact also a "boon of multilinguality". We are in the process of making Glot500-c, our training corpus covering 500 languages, publicly available.

Best wishes

Barbara Hammer


-- 
Prof. Dr. Barbara Hammer
Machine Learning Group, CITEC
Bielefeld University
D-33594 Bielefeld
Phone: +49 521 / 106 12115



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From salvadordura at gmail.com  Mon Jun 26 10:52:15 2023
From: salvadordura at gmail.com (Salvador Dura)
Date: Mon, 26 Jun 2023 14:52:15 +0000
Subject: Connectionists: Postdoc position in computational neuroscience (NY)
Message-ID: <DS7PR10MB7131022C48F05F68AE9C7565F426A@DS7PR10MB7131.namprd10.prod.outlook.com>

A Postdoc position is now available in the Dura-Bernal Lab<http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences University (Brooklyn, New York), working on a new exciting multidisciplinary project entitled "Restoring motor function after spinal cord injury using multiscale modeling to decode neural latent dynamics from motor cortex EEG." The position is funded by New York State (NYS) Department of Health (DOH) Spinal Cord Injury Research program.

The project aims to improve brain-machine interface decoders by combining multiscale modeling of motor cortex circuits, analysis of low-dimensional neural manifolds associated with behavior, and realistic simulation of EEG signals. See our recent Cell Reports publication describing the multiscale motor cortex model and behavior-related neural manifolds: www.cell.com/cell-reports/fulltext/S2211-1247(23)00585-5<http://www.cell.com/cell-reports/fulltext/S2211-1247(23)00585-5>

For more details and how to apply visit: http://dura-bernal.org/postdoc-2023<https://t.co/aGDh79EjyE>  (Please share!)



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From benoit.frenay at unamur.be  Tue Jun 27 02:34:48 2023
From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=)
Date: Tue, 27 Jun 2023 06:34:48 +0000
Subject: Connectionists: Advances in Interpretable Machine Learning and
 Artificial Intelligence (AIMLAI 2023): Call for Papers [deadline extended]
Message-ID: <AM0PR07MB467661E090AFB062FF8CA075F127A@AM0PR07MB4676.eurprd07.prod.outlook.com>

[My apologies for multiple postings]

We invite researchers working on interpretability and explainability in ML/AI, and related topics, to submit regular (14 pages, single column) or short (7 pages, single column) papers to the AIMLAI workshop that will be held at ECML/PKDD 2023. This year the workshop will feature a tutorial on Explainable GraphML.

Website: https://project.inria.fr/aimlai/
Submission link: https://easychair.org/conferences/?conf=aimlai2023
Submission deadline: June 27 June 30, 2023

The purpose of AIMLAI (Advances in Interpretable Machine Learning and Artificial Intelligence) is to encourage principled research that will lead to the advancement of explainable, transparent, ethical and fair data mining, machine learning, and artificial intelligence. AIMLAI is a workshop that seeks top-quality submissions addressing uncovered important issues related to explainable and interpretable data mining and machine learning models. Papers should present novel research results in any of the topics of interest for the workshop as well as application experiences, tools and promising preliminary ideas. AIMLAI asks for contributions from researchers, academia, and industry working on topics addressing these challenges primarily from a technical point of view, but also from a legal, ethical or sociological perspective. Besides the central topic of interpretable algorithms and explanation methods, we also welcome submissions that answer research questions like "how to measure and evaluate interpretability and explainability?" and "how to integrate humans in the machine learning pipeline for interpretability purposes?". This year's edition of AIMLAI is open to two kinds of submissions: regular papers (14 pages) and short papers (7 pages) in a single column format.

A non-exhaustive list of topics that are of interest for AIMLAI are the following:

- Interpretable ML
- Supervised and Unsupervised ML
- Explaining recommendation models
- Multimodal explanations
- Interpretable/Explainable GraphML
Transparency in AI and ML
- Ethical aspects
- Legal aspects
- Fairness issues
Methodology and formalization of interpretability
- Formal measures of interpretability
- Interpretability/complexity trade-offs
- How to evaluate interpretability
User-centric interpretability
- Explanation modules
- Interpretability and Semantics: how to add semantics to explanations?
- Human-in-the-loop to construct and/or evaluate interpretable models
- Integration of ML algorithms, infovis and man-machine interfaces

The workshop will be a full-day event that will feature a half-day tutorial on Explainable GraphML covering, among others, the topics of post-hoc explainability for graph neural networks (GNNs), knowledge graph embeddings (KGE), and explainable-by-design GraphML.

Submission Guidelines
Papers must be written in English and formatted according to the Springer LNCS (http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines) guidelines. Regular papers must be 14 pages long maximum. Short papers are restricted to a maximum of 7 pages. In both cases the page limit excludes references, for which there is no limit. Overlength papers will be rejected without review (papers with smaller page margins and font sizes than specified in the author instructions and set in the style files will also be treated as overlength).
Authors who submit their work to AIMLAI 2023 commit themselves to present their paper at the workshop in case of acceptance. AIMLAI 2023 considers the author list submitted with the paper as final. No additions or deletions to this list may be made after paper submission, either during the review period, or in case of acceptance, at the final camera ready stage.
Condition for inclusion in the post-proceedings is that at least one of the co-authors has (in-person or virtually) presented the paper at the workshop.
All papers for AIMLAI 2023 must be submitted by using the online submission system at https://easychair.org/conferences/?conf=aimlai2023.

Program Chairs
Workshop
- Adrien Bibal, University of Colorado Anschutz Medical Campus, USA
- Tassadit Bouadi, University of Rennes/IRISA, France
- Beno?t Fr?nay, University of Namur, Belgium
- Jos? Oramas, University of Antwerp/imec-IDLab, Belgium

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From marcella.cornia at unimore.it  Tue Jun 27 03:36:22 2023
From: marcella.cornia at unimore.it (Marcella Cornia)
Date: Tue, 27 Jun 2023 09:36:22 +0200
Subject: Connectionists: [CFP] AI4DH: Artificial Intelligence for Digital
 Humanities Workshop (in conjunction with ICIAP 2023) - Deadline Extended to
 July 7th!
Message-ID: <CAKknQqqhGNv0djoOPhEgY=umOgcudeG7ORbVP6iwpe1hxHXJ7Q@mail.gmail.com>

********************************

Call for Papers

?AI4DH: Artificial Intelligence for Digital Humanities?

International Workshop at ICIAP 2023
https://sites.google.com/view/ai4dh2023

********************************


=== DEADLINE EXTENDED to July 7th! ====

(11:59 p.m. AoE)

Apologies for multiple posting

Please distribute this call to interested parties



AIMS AND SCOPE

===============

Researchers have explored the benefits and applications of modern
Artificial Intelligence (AI) algorithms in different scenarios. Digital
Humanities (DH) is a newly-emerging field that brings together humanities,
social, and computer scientists to work both on fundamental and applied
research in humanities. The large-scale cultural and societal implications
of these changes and the ethical questions that raise offer an important
challenge as techniques in Artificial Intelligence and Data Learning have
matured. Thus, there has been a wide range of computational tools, methods,
and models that have enabled humanities to conduct research at a scale once
thought impossible.

The goal of this workshop is to encourage and highlight novel strategies
and original research in applying Artificial Intelligence techniques in
digital humanities research such as data discovery, digital data creation,
management, data analytics (including text mining, image mining and data
visualization) in literature, linguistics, culture heritage, media, social
science, history, music and acoustics, and Artificial Intelligence for
Digital Humanities in pedagogy and academic curricula. This Workshop aims
not only to serve as a venue for presenting work in this area but also to
build a community and share information in this new field.


TOPICS

=======

The workshop calls for submissions addressing, but not limited to, the
following topics:


   -

   AI for Visual DH


   -

   Artworks cross-modal retrieval
   -

   AI for art generation
   -

   Automatic metadata extraction from artworks
   -

   AI for video analysis
   -

   AI for artistic images analysis



   -

   AI for DH Preservation and Enhancement


   -

   AI in virtual systems for education and tourism
   -

   AI in museums and cultural tourism
   -

   Museum and Service Robotics
   -

   Music and visual art-induced emotion recognition
   -

   Automatic storytelling of art



   -

   Fundation AI Applications to DH


   -

   AI in digital cultural content/object analysis
   -

   AI in content?based classification and retrieval
   -

   AI in Semantics and Knowledge Representation
   -

   Intelligent methods in Spatial and Temporal Analysis
   -

   Intelligent crowdsourcing approaches



   -

   AI & Extended reality (XR) for DH
   -

      XR platforms for Education purposes and edu-/infotainment
      -

      XR interfaces for Cultural Heritage dissemination
      -

      Collaborative XR interfaces
      -

      Metaverse, Avatars, Agents and NFT
      -

      Ethics & social implications



IMPORTANT DATES

=================

   -

   Paper Submission Deadline (extended to): June 23th, 2023 July 7th, 2023
   -

   Decision to Authors: July 30th, 2023
   -

   Camera ready papers due: August 15th, 2023
   -

   Workshop date: September 11th, 2023



SUBMISSION GUIDELINES

======================

All the papers should be submitted at:
https://cmt3.research.microsoft.com/ICIAPDHH2023, selecting the ?AI for
Digital Humanities (AI4DH)? track.

The maximum number of pages is 12 including references. Papers will be
selected through a double-blind review process, taking into account
originality, significance, clarity, soundness, relevance and technical
contents.

Authors can find complete instructions of how to format their papers at
https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
Accepted papers will be included in the ICIAP 2023 Workshop Proceedings,
which will be published by Springer in the Lecture Notes in Computer
Science series (LNCS).

Each accepted paper must be covered by at least one registered author.
Registration can be either for the full event at a regular rate or just for
workshops and tutorials.


WORKSHOP MODALITY

====================

The workshop will be held in conjunction with the International Conference
on Image Analysis and Processing (ICIAP 2023).


ORGANIZING COMMITTEE

======================

   -

   Lorenzo Baraldi, University of Modena and Reggio Emilia, Italy
   -

   Silvia Cascianelli, University of Modena and Reggio Emilia, Italy
   -

   Marcella Cornia, University of Modena and Reggio Emilia, Italy
   -

   Francesca Matrone, Politecnico di Torino, Italy
   -

   Marina Paolanti, University of Macerata, Italy
   -

   Roberto Pierdicca, Universit? Politecnica delle Marche, Italy



-- 
*Marcella Cornia*, PhD
Tenure-Track Assistant Professor (RTD-B)
Dipartimento di Educazione e Scienze Umane
Universit? degli Studi di Modena e Reggio Emilia
e-mail: marcella.cornia at unimore.it
phone: +39 059 2058790
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From chris.crisur at gmail.com  Tue Jun 27 04:25:24 2023
From: chris.crisur at gmail.com (Christopher)
Date: Tue, 27 Jun 2023 10:25:24 +0200
Subject: Connectionists: Apply now for the Computational Neuroscience Imbizo
 2024 - form closes 11th July
Message-ID: <CAHkHS9GN8YBOWUMJcJcjV-aBJmQSS0o4fFL3BjpDFSq_hWR65g@mail.gmail.com>

Dear all,

The DEADLINE for the next IMBIZO is approaching very quickly. Don?t let
this opportunity slip by if you are hoping to join the most diverse
neuroscience summer school at the most beautiful beach in the world!

If you know anyone who would benefit from an extraordinary computational
neuroscience summer school, please distribute this information as widely as
you can:

IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO

#Imbizo2024

7 January - 28 January 2024, Noordhoek Beach, Cape Town, South Africa

http://imbizo.africa/

Application deadline: 11th July 2023

The #Imbizo2024 is a southern hemisphere summer school aiming to promote
computational neuroscience in Africa. It will bring together international
and local students under the tutelage of the world's leading experts in the
field. Like its international sister courses, this four-week summer school
aims to teach central ideas, methods, and practices of modern computational
neuroscience through a combination of lectures and hands-on project work.
Mornings will be devoted to lectures on topics across the breadth of
computational neuroscience, including experimental underpinnings and
machine learning analogues. The rest of the day will be spent working on
research projects under the close supervision of expert tutors and faculty.
Individual research projects will focus on the modelling of neurons, neural
systems, behaviour, the analysis of state-of-the-art neural data, and the
development of theories to explain experimental observations. It also
includes a week focused on neuroscience-inspired machine learning!

Who should apply?

This course is aimed at Masters and early-PhD level students though Honours
or advanced undergraduates may also apply. Postdoctoral students who can
motivate why the course would benefit them are also encouraged to apply,
Students should have sufficient quantitative skills, (e.g. a background in
mathematics, physics, computer science, statistics, engineering or related
field). Some knowledge of neural biology will be useful but not
essential. Experimental
neuroscience students are encouraged to apply, but should ensure that they
have a reasonable level of quantitative proficiency (i.e. at least
second-year level mathematics or statistics and have done at least one
course in computer programming).

Essential details

* Fee (which covers tuition, lodging, and meals): 1350 EUR

Thanks to our generous sponsors, significant financial assistance is
available to reduce and waiver fees for students, particularly for African
applicants. We also hope to provide some travel bursaries for international
students. If you are in need of financial assistance to attend the Imbizo,
please state so clearly in the relevant section of your application.

The Imbizo is planned to be hosted in person, with everyone following our COVID
policy <https://imbizo.africa/covid-policy/>. If it is unsafe to hold the
summer school, we will follow up with further information at the
appropriate time.

* Application deadline: 11th July 2023

* References submitted: 14th July 2023

* Notification of results: August 2023

Information and application

https://imbizo.africa/


Questions?

isicn.imbizo at gmail.com


What is an Imbizo?

\?m?bi?z?\ | Xhosa - Zulu

A gathering of the people to share knowledge.

Incl. past FACULTY and TAs such as...

Adrienne Fairhall - Washington University

Alex Pouget - University of Geneva

Anne-Marie Oswald - University of Pittsburgh

Annik Carson - AI Redefined

Arif Hamid - University of Minnesota Medical School

Aza Allsop - Yale University

Bard Ermentrout - University of Pittsburgh

Bianca Jones Marlin - Columbia University

Blake Richards - McGill University

Brent Doiron - University of Chicago

Cengiz Pehlevan - Harvard University

Christopher Currin - Institute of Science and Technology Austria & IndabaX
South Africa

Daniela Vallentin - Max Planck Institute for Biological Intelligence

David Sussillo - Google

Demba Ba - Harvard University

Dongyan Lin - MILA

Evan Schaffer - Columbia University

Franck Kalume - University of Washington

Grace Lindsay - New York University

Guillaume Lajoie - University of Montreal & MILA

Henning Sprekeler - Technical University of Berlin

Ilenna Jones - Harvard University

Joseph Raimondo - University of Cape Town

Mackenzie Mathis   - EPFL Lausanne

Marjorie Xie - Columbia University

Mohamed Abdelhack - Krembil Centre for Neuroinformatics

Nina Kudryashova- University of Edinburgh

Peter Latham - University College London

Rachael Dangarembizi - University of Cape Town

Roy Eyono - MILA

Spiros Chavlis - IMBB-FORTH

SueYeon Chung - New York University

Thomas Tagoe - University of Ghana

Tim Vogels - Institute of Science and Technology Austria

Timothy Lillicrap - DeepMind

Xaq Pitkow - Baylor College of Medicine


ORGANISERS

Demba Ba (Harvard University)

Christopher Currin (Institute of Science and Technology Austria & IndabaX
South Africa <https://indabax.co.za>)

Peter Latham (Gatsby Unit for Computational Neuroscience)

Joseph Raimondo (University of Cape Town)

Emma Vaughan (Imbizo Logistics)

Tim Vogels (Institute of Science and Technology Austria)

Sponsors

The Imbizo is made possible by the generous support from the Simons
Foundation <https://www.simonsfoundation.org/>, the International Brain
Research Organisation (IBRO) <https://ibro.org/> as well as the Wellcome
Trust, Google Deep Mind and others.

Organizational Affiliates

University of Cape Town, University College London, Institute of Science
and Technology Austria, TReND in Africa <http://trendinafrica.org/>,
Neuroscience
Institute <http://www.neuroscience.uct.ac.za/>, Gatsby Foundation
<http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in
Neurosciences at UCT
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From cgf at isep.ipp.pt  Tue Jun 27 16:47:25 2023
From: cgf at isep.ipp.pt (Carlos)
Date: Tue, 27 Jun 2023 21:47:25 +0100
Subject: Connectionists: CFP[Extended deadline: June 30]: SoGood 2023 -
 ECML-PKDD Workshop on Data Science for Social Good
Message-ID: <4883e245-0ae4-dc4f-3a6b-9c01a9e8020c@isep.ipp.pt>

=================

Call for Papers

SoGood 2023 ? 8th Workshop on Data Science for Social Good

Affiliated with ECML-PKDD 2023, 18-22 September, Torino, Italy, https://2023.ecmlpkdd.org/

Workshop site: https://sites.google.com/view/sogood2023/home



The possibilities of Data Science for contributing to social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models" or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of social impact of the application.


This workshop aims to attract papers presenting applications of Data Science for Social Good (which may, or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes:

?         Government transparency and IT against corruption

?         Fight against environmental crime

?         Public safety and disaster relief
?         Access to food, water, sanitation and utilities
?         Efficiency and sustainability
?         Climate change
?         Data journalism
?         Social and personal development
?         Economic growth and improved infrastructure
?         Transportation
?         Energy
?         Smart city services
?         Education
?         Social services, unemployment and homeless
?         Healthcare and well-being
?         Support for people living with disabilities
?         Responsible consumption and production
?         Gender equality, discrimination against minorities
?         Ethical issues, fairness, and accountability.
?         Trustability and interpretability
?         Topics aligned with the UN development goals:

http://www.un.org/sustainabledevelopment/sustainable-development-goals/



The maximum length of papers in 16 pages, including references, consistent with the ECML PKDD conference submissions.

Submitting a paper to the workshop means that if the paper is accepted, at least one author will attend the workshop and present the paper. Papers not presented at the workshop will not be included in the proceedings. We will follow ECML PKDD?s policy for attendance.


Paper publication:
Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.


Important Dates:
?         Workshop paper submission deadline: June 30, 2023

?         Workshop paper acceptance notification: July 12, 2023

?         Workshop paper camera-ready deadline: July 24, 2023

?         Workshop: September 22, 09h-12.30, 2023 (TBC)

Carlos Ferreira


ISEP | Instituto Superior de Engenharia do Porto
Rua Dr. Ant?nio Bernardino de Almeida, 431
4249-015 Porto - PORTUGAL
tel. +351 228 340 500 | fax +351 228 321 159
mail at isep.ipp.pt | www.isep.ipp.pt


From dwang at cse.ohio-state.edu  Wed Jun 28 03:16:12 2023
From: dwang at cse.ohio-state.edu (Wang, Deliang)
Date: Wed, 28 Jun 2023 07:16:12 +0000
Subject: Connectionists: NEURAL NETWORKS, July 2023
Message-ID: <BYAPR01MB3896F4140B99A5E16CBE91CCDB24A@BYAPR01MB3896.prod.exchangelabs.com>

Neural Networks - Volume 164, July 2023
https://www.journals.elsevier.com/neural-networks


Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance
Wei Yao, Chunhua Wang, Yichuang Sun, Shuqing Gong, Hairong Lin

Input-to-state stability of positive delayed neural networks via impulsive control
Wu-Hua Chen, Xiujuan Li, Shuning Niu, Xiaomei Lu

A survey of sum-product networks structural learning
Riting Xia, Yan Zhang, Xueyan Liu, Bo Yang

Contrast sensitivity function in deep networks
Arash Akbarinia, Yaniv Morgenstern, Karl R. Gegenfurtner

A deep connectome learning network using graph convolution for connectome-disease association study
Yanwu Yang, Chenfei Ye, Ting Ma

Prospective classification of Alzheimer's disease conversion from mild cognitive impairment
Sunghong Park, Chang Hyung Hong, Dong-gi Lee, Kanghee Park, ... Hyunjung Shin

Automatized offline and online exploration to achieve a target dynamics in biohybrid neural circuits built with living and model neurons
Manuel Reyes-Sanchez, Rodrigo Amaducci, Pablo Sanchez-Martin, Irene Elices, ... Pablo Varona

Evolution-communication spiking neural P systems with energy request rules
Liping Wang, Xiyu Liu, Minghe Sun, Yuzhen Zhao

A transformer-based deep neural network model for SSVEP classification
Jianbo Chen, Yangsong Zhang, Yudong Pan, Peng Xu, Cuntai Guan

ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation
Aref Einizade, Samaneh Nasiri, Sepideh Hajipour Sardouie, Gari D. Clifford

Imitating the oracle: Towards calibrated model for class incremental learning
Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu

Theoretical bounds of generalization error for generalized extreme learning machine and random vector functional link network
Meejoung Kim

TIToK: A solution for bi-imbalanced unsupervised domain adaptation
Yunyun Wang, Quchuan Chen, Yao Liu, Weikai Li, Songcan Chen

Optimal tracking control of nonlinear systems with zero-equilibrium-free via novel adaptive critic designs
Zhinan Peng, Hanqi Ji, Chaobin Zou, Yiqun Kuang, ... Bijoy Kumar Ghosh

Explainable hybrid word representations for sentiment analysis of financial news
Surabhi Adhikari, Surendrabikram Thapa, Usman Naseem, Hai Ya Lu, ... Mukesh Prasad

A novel sequential structure for lightweight multi-scale feature learning under limited available images
Peng Liu, Jie Du, Chi-Man Vong

Long short-term memory with activation on gradient
Chuan Qin, Liangming Chen, Zangtai Cai, Mei Liu, Long Jin

CSAST: Content self-supervised and style contrastive learning for arbitrary style transfer
Yuqi Zhang, Yingjie Tian, Junjie Hou

Lifelong learning on evolving graphs under the constraints of imbalanced classes and new classes
Lukas Galke, Iacopo Vagliano, Benedikt Franke, Tobias Zielke, ... Ansgar Scherp

Learning defense transformations for counterattacking adversarial examples
Jincheng Li, Shuhai Zhang, Jiezhang Cao, Mingkui Tan

PIPER: A logic-driven deep contrastive optimization pipeline for event temporal reasoning
Beibei Zhang, Lishuang Li

One-shot Federated Learning without server-side training
Shangchao Su, Bin Li, Xiangyang Xue

A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market
Zijian Wang, Hui Zhao, Mingwen Zheng, Sijie Niu, ... Lixiang Li

Co-attention enabled content-based image retrieval
Zechao Hu, Adrian G. Bors

Growing dendrites enhance a neuron's computational power and memory capacity
William B Levy, Robert A. Baxter

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion
Qianyu Li, Jiale Yao, Xiaoli Tang, Han Yu, ... Hengjie Song

Multi-teacher knowledge distillation based on joint Guidance of Probe and Adaptive Corrector
Ronghua Shang, Wenzheng Li, Songling Zhu, Licheng Jiao, Yangyang Li

B-mode ultrasound based CAD for liver cancers via multi-view privileged information learning
Xiangmin Han, Bangming Gong, Lehang Guo, Jun Wang, ... Jun Shi

Joint feature selection and optimal bipartite graph learning for subspace clustering
Shikun Mei, Wenhui Zhao, Quanxue Gao, Ming Yang, Xinbo Gao

A reinforcement learning algorithm acquires demonstration from the training agent by dividing the task space
Lipeng Zu, Xiao He, Jia Yang, Lianqing Liu, Wenxue Wang

Domain-adaptive message passing graph neural network
Xiao Shen, Shirui Pan, Kup-Sze Choi, Xi Zhou

An accelerated end-to-end method for solving routing problems
Tianyu Zhu, Xinli Shi, Xiangping Xu, Jinde Cao

Generating post-hoc explanations for Skip-gram-based node embeddings by identifying important nodes with bridgeness
Hogun Park, Jennifer Neville

A spectral graph convolution for signed directed graphs via magnetic Laplacian
Taewook Ko, Yoonhyuk Choi, Chong-Kwon Kim

Continual learning with invertible generative models
Jary Pomponi, Simone Scardapane, Aurelio Uncini

Multi-granularity knowledge distillation and prototype consistency regularization for class-incremental learning
Yanyan Shi, Dianxi Shi, Ziteng Qiao, Zhen Wang, ... Chunping Qiu

Distance metric learning based on the class center and nearest neighbor relationship
Yifeng Zhao, Liming Yang

Credit assignment with predictive contribution measurement in multi-agent reinforcement learning
Renlong Chen, Ying Tan

Collaborative bi-aggregation for directed graph embedding
Linsong Liu, Ke-Jia Chen, Zheng Liu

LoyalDE: Improving the performance of Graph Neural Networks with loyal node discovery and emphasis
Haotong Wei, Yinlin Zhu, Xunkai Li, Bin Jiang

Basis operator network: A neural network-based model for learning nonlinear operators via neural basis
Ning Hua, Wenlian Lu

Aperiodic switching event-triggered stabilization of continuous memristive neural networks with interval delays
Yaning Wang, Huan Tuo, Huiping Lyu, Zunshui Cheng, Youming Xin

Stability analysis of stochastic gradient descent for homogeneous neural networks and linear classifiers
Alexandre Lemire Paquin, Brahim Chaib-draa, Philippe Gigu?re

Tree-structured neural networks: Spatiotemporal dynamics and optimal control
Jiajin He, Min Xiao, Jing Zhao, Zhengxin Wang, ... Jinde Cao

A direct discretization recurrent neurodynamics method for time-variant nonlinear optimization with redundant robot manipulators
Yang Shi, Wangrong Sheng, Shuai Li, Bin Li, ... Dimitrios K. Gerontitis

Quasi-projective and complete synchronization of discrete-time fractional-order delayed neural networks
Xiao-Li Zhang, Hong-Li Li, Yongguang Yu, Long Zhang, Haijun Jiang

Event-triggered fault-tolerant control for input-constrained nonlinear systems with mismatched disturbances via adaptive dynamic programming
Heng Zhao, Huanqing Wang, Ben Niu, Xudong Zhao, Khalid H. Alharbi

Design of continuous-time recurrent neural networks with piecewise-linear activation function for generation of prescribed sequences of bipolar vectors
Norikazu Takahashi, Tsuyoshi Yamakawa, Yasuhiro Minetoma, Tetsuo Nishi, Tsuyoshi Migita

Approximate spectral decomposition of Fisher information matrix for simple ReLU networks
Yoshinari Takeishi, Masazumi Iida, Jun'ichi Takeuchi

Self-supervision assisted multimodal remote sensing image classification with coupled self-looping convolution networks
Shivam Pande, Biplab Banerjee

Semi-supervised deep embedded clustering with pairwise constraints and subset allocation
Yalin Wang, Jiangfeng Zou, Kai Wang, Chenliang Liu, Xiaofeng Yuan

SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses
Chuanqing Wang, Chaoming Fang, Yong Zou, Jie Yang, Mohamad Sawan

A multi-view co-training network for semi-supervised medical image-based prognostic prediction
Hailin Li, Siwen Wang, Bo Liu, Mengjie Fang, ... Jie Tian

An adaptive reinforcement learning-based multimodal data fusion framework for human-robot confrontation gaming
Wen Qi, Haoyu Fan, Hamid Reza Karimi, Hang Su


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From gualtiero.volpe at unige.it  Wed Jun 28 02:59:13 2023
From: gualtiero.volpe at unige.it (Gualtiero Volpe)
Date: Wed, 28 Jun 2023 08:59:13 +0200 (CEST)
Subject: Connectionists: Call for Late-Breaking Results,
 ACM International Conference on Multimodal Interaction (ICMI2023)
Message-ID: <393389179.11.1687935553919@[192.168.1.181]>

========================================================
ACM ICMI 2023 CALL FOR LATE-BREAKING RESULTS
9-13 October 2023, Paris - France
https://icmi.acm.org/2023/doctoral-consortium/
========================================================

Based on the success of the LBR in the past ICMI, the ACM International Conference on Multimodal Interaction (ICMI) 2023 continues soliciting submissions for the special venue titled Late-Breaking Results (LBR). The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the new Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. 

Online Submission 
For online paper submissions, please click on the following link: 
https://new.precisionconference.com/user/login?next=https%3A//new.precisionconference.com/submissions/icmi23a

Highlights
* Submission deadline: July 16th, 2023, 23:59 PDT (GMT-7)
* Notifications: August 13th, 2023
* Camera-ready deadline: September 3rd, 2023
* Conference Dates: October  9-13, 2023
* Submission format: Anonymized, short paper (four-page paper in a double column format, not including references), following the submission guidelines, available here: https://icmi.acm.org/2023/guidelines-for-authors/
* Selection process: Peer-Reviewed
* Presentation format: Participation in the conference poster session
* Proceedings: Included in Adjunct Proceedings and ACM Digital Library
* LBR Co-chairs: Jean-Marc Odobez and Chi-Chun Lee

What are Late-Breaking Results?
Late-Breaking Work (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting edge or emerging work that is still in exploratory stages, smaller-scale studies, or in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track.

Why submit to the Late-Breaking Results track at ICMI?
Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR (posters) track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field.

Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are "significant" revisions from the original, as per the ACM and ACM SIGCHI policies.

Submission Guidelines
Extended Abstract: An anonymized short paper, four-page paper in a double column ACM conference  format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference: https://icmi.acm.org/2023/guidelines-for-authors/. The paper should be submitted in PDF format and through the ICMI submission system in the ?Late-Breaking Results? track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version and no deadline extensions can be granted.

Anonymization: Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR to prior work, authors should not remove or anonymize references to their own prior work. Instead, we recommend that authors obscure references to their own prior work by referring to it in the third person during submission. If desired, after acceptance, such references can be changed to first-person.

Review Process
LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it "fits" the LBR track (e.g., in-progress results). More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring some measurable breakthroughs compared to the state-of-the-art of the field.

Attendance
Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be available later on and given on the main page of the website.

Questions?
For more information and updates on the ICMI 2023 Late-Breaking Results (LBR), visit the LBR page of the main conference website: https://icmi.acm.org/2023/late-breaking-results/.

For further questions, contact the LBR co-chairs (Jean-Marc Odobez and Chi-Chun Lee) at icmi2023-late-breaking-results-chairs at acm.org


From gualtiero.volpe at unige.it  Wed Jun 28 03:10:16 2023
From: gualtiero.volpe at unige.it (Gualtiero Volpe)
Date: Wed, 28 Jun 2023 09:10:16 +0200 (CEST)
Subject: Connectionists: Call for Demonstrations and Exhibits,
 ACM International Conference on Multimodal Interaction (ICMI2023)
Message-ID: <1197110386.46.1687936216921@[192.168.1.181]>

========================================================
ACM ICMI 2023 CALL FOR DEMONSTRATIONS AND EXHIBITS
9-13 October 2023, Paris - France
https://icmi.acm.org/2023/doctoral-consortium/
========================================================

We invite you to submit your proposals for demonstrations and exhibits to be held during the 25th ACM International Conference on Multimodal Interaction (ICMI 2023), located in Paris, France, October 9-13th 2023. This year?s conference theme is ?Science of Multimodal Interactions?.

* Demonstrations and Exhibits
The ICMI 2023 Demonstrations & Exhibits session is intended to provide a forum to showcase innovative implementations, systems and technologies demonstrating new ideas about interactive multimodal interfaces. It can also serve as a platform to introduce commercial products.
Proposals may be of two types: demonstrations or exhibits. The main difference is that demonstrations include a 2-3 page paper in one column, which will be included in the ICMI main proceedings, while the exhibits only need to include a brief outline (no more than two pages in one column; not included in ICMI proceedings). We encourage both the submission of early research prototypes and interesting mature systems. In addition, authors of accepted regular research papers may be invited to participate in the demonstration sessions as well.

* Demonstration Submission
Please submit a 2-3 page description of the demonstration in a single column format through the main ICMI conference management system (new.precisionconference.com/sigchi). Demonstration description(s) must be in PDF format, according to the ACM conference format, of no more than 3 pages in a single column format including references. For instructions and links to the templates, please see the Guidelines for Authors (https://icmi.acm.org/2023/guidelines-for-authors/).
Demonstration proposals should include a description with photographs and/or screen captures of the demonstration. Demonstration submissions should be accompanied by a video of the proposed demo (no larger than 200MB), which can include a set of slides (no more than 10 slides) in PowerPoint format.
The demo and exhibit paper submissions are not anonymous. However, all ACM rules and guidelines related to paper submission should be followed (e.g. plagiarism, including self-plagiarism).
The demonstration submissions will be peer reviewed, according to the following criteria: suitability as a demo, scientific or engineering feasibility of the proposed demo system, application, or interactivity, alignment with the conference focus, potential to engage the audience, and overall quality and presentation of the written proposal. Authors are encouraged to address such criteria in their proposals, along with preparing the papers mindful of the quality and rigorous scientific expectations of an ACM publication.
The demo program will include the accepted proposals and may additionally include invited demos from among regular papers accepted for presentation at the conference. Please note that the accepted demos will be included in the ICMI main proceedings.

* Exhibit Submission
Exhibit proposals should be submitted following the same guidelines, formatting, and due dates as for demonstration proposals. Exhibit proposals must be shorter in length (up to two pages), and are more suitable for showcasing mature systems. Like demos, submissions for exhibits should be accompanied by a video (no larger than 200MB), which can include a set of slides (no more than 10 slides) in PowerPoint format. Exhibits will not have a paper published in the ICMI 2023 proceedings.

* Facilities
Once accepted, demonstrators and video presenters will be provided with a table, poster board, power outlet and wireless (shared) Internet. Demo and video presenters are expected to bring with them everything else needed for their demo and video presentations, such as hardware, laptops, sensors, PCs, etc. However, if you have special requests such as a larger space, special lighting conditions and so on, we will do our best to arrange them.
Important note for the authors: The official publication date is the date the proceedings are made available in the ACM Digital Library. This date may be up to two weeks prior to the first day of the conference. The official publication date affects the deadline for any patent filings related to published work.

* Attendance
At least one author of all accepted Demonstrations and Exhibits submissions must register for and attend the conference, including the conference demonstrations and exhibits session(s).

* Important Dates
- Submission of demo and exhibit proposals	July 14, 2023
- Demo and exhibit notification of acceptance	July 28, 2023
- Submission of demo final papers		August 13, 2023

* Questions?
For further questions, contact the Demonstrations and Exhibits co-chairs: Kun Qian and Dirk Heylen (icmi2023-demo-chairs at acm.org).


From stm at socio.org.uk  Wed Jun 28 07:12:36 2023
From: stm at socio.org.uk (stm socio.org.uk)
Date: Wed, 28 Jun 2023 11:12:36 +0000
Subject: Connectionists: Workshop on Generative AI models
Message-ID: <LO2P302MB02476103596C6021FA92BD3D8D24A@LO2P302MB0247.GBRP302.PROD.OUTLOOK.COM>

First Workshop on "Next-Generation Models for Generative AI"

(In conjunction with the Third International Conference on Digital Data Processing 2023)
University of Bedfordshire, Luton. UK. November 27-29, 2023
https://socio.org.uk/ddp/workshop

(IEEE CPS will publish the proceedings, and papers should follow the IEEE template)

AI models use billions of parameters to detect and retrieve text and images. The currently available LL models are experimented with for their efficiency, and at the same time, newer models are being developed. There are many challenges associated with generative AI. The pre-training volume and efficiency are a focus. To leverage the training set with comprehensiveness and accuracy, billions of parameters are injected into the LLM. Current GPTs face criticisim and governments issue a caution to their use. For example, Zhuang Rongwen, China?s cyberspace chief, raises concerns over the power of generative AI and pledges to make it ?controllable'.

The agenda for the future Generative AI is not clear. Improved generative tools should be capable of characterising extremist narratives in corpora to reveal different contexts, which may lead to building semantic-rich content for end-users. Testing the current models and their results may contribute to future research. Considering these issues, we framed a workshop to address the theme, Next Generation Models. The workshop themes include but are not limited to the following.


Text, Image, Code, Video, 3D models
Domain-specific models
Impact of Generative AI on Teaching and Learning
Knowledge and Semantic Issues in Generative AI
Future LLM
AI Ethical Issues
AI and NLP
Embedding in AI
Reinforcement learning
Data Support and Datasets in AI
Standards and Benchmarks
Compositional generative models

Workshop Chairs

Gloria Tengyue Li
North China University of Technology
Beijing
China

Simon Fong
University of Macau
Macau

Hathairat Ketmaneechairat
King Mongkut?s University of Technology
North Bangkok, Thailand

Important Dates

Full Paper Submission: September 10, 2023
Notification of Acceptance/Rejection: October 10, 2023
Registration Due:  November 10, 2023
Camera Ready Due: November 10, 2023
Workshops/Tutorials/Demos:   November   28, 2023
Main conference: November 27-29, 2023
Post-conference proceedings:  December 20, 2023


Paper Submission: http://socio.org.uk/ddp/paper-submission/

Contact: stm at socio.org.uk










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From ioannakoroni at csd.auth.gr  Wed Jun 28 05:50:58 2023
From: ioannakoroni at csd.auth.gr (Ioanna Koroni)
Date: Wed, 28 Jun 2023 12:50:58 +0300
Subject: Connectionists: Early registration: Invitation to join 2023 Summer
	'Programming short course and workshop on Deep Learning and
	Computer Vision', 30 August - 1 September, 2023
References: <004601d874cd$c8a23160$59e69420$@csd.auth.gr>
 <cc26aa50-3de9-0ecb-96a6-b84e600f8e7d@csd.auth.gr>
 <09a701d992d4$2f9f6e80$8ede4b80$@csd.auth.gr>
 <CAJ20yRFxfg1qQ3d8Cs_vGiW8A+_uO=fa=vHSExb2uLF0+yBdmQ@mail.gmail.com>
 <0f0701d9944d$51a60e10$f4f22a30$@csd.auth.gr>
 <0f3901d9944d$e29a0e80$a7ce2b80$@csd.auth.gr>
 <20230601095058.Horde.hS4Z9JrpBDQ7SZKwv29jOla@webmail.auth.gr> 
Message-ID: <b53401d9a9a6$0afabc90$20f035b0$@csd.auth.gr>

Dear Deep Learning, Computer Vision, Digital Media engineers, scientists and enthusiasts,

  

you are welcomed to register to the  CVML course on ?Programming short course and workshop on Deep Learning and Computer Vision?,  30th August - 1st September 2023:

https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/

 

It will take place at KEDEA <https://www.google.com/maps/place/Aristotle+University+Research+Dissemination+Center+(KEDEA)/@40.6268129,22.9625765,15z/data=!4m2!3m1!1s0x0:0xd56ca8d4f0abc5de?sa=X&ved=2ahUKEwjxk_zdz6H_AhXG_aQKHReeDFkQ_BJ6BAhJEAg>  Building, hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The course  provides an in-depth presentation of programming tools and techniques for various computer vision and deep learning problems. The target application domains are autonomous systems (e.g., real time object detection) and digital/social media analysis for Natural Disaster Management. The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises. There will be complemented lecture pdfs, to enable you to study at your own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).

 

This course is part of the very successful CVML programming short course and workshop series that has been taking place in the last four years.

 

Course description ?Programming short course and workshop on Deep Learning and Computer Vision?

 

The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises.

 

Part A will focus on Deep Learning and GPU programming. The lectures of this part provide a solid background on Deep Neural Networks (DNN) topics, notably convolutional NNs (CNNs) and deep learning for image classification.

 

Part B lectures will focus on deep learning algorithms for Perception on Autonomous Systems, namely on 2D object/face detection and 2D object tracking.

Part C lectures will focus on Autonomous Systems in Natural Disaster Management (NDM). The lectures will provide a basic understanding of Real-Time Image Segmentation algorithms.

 

 

Course lectures and programming workshops

 

Part A (8 hours) Deep Learning for Autonomous Systems

 

1.	Deep neural networks ? Convolutional NNs. 
2.	Knowledge Distillation in Deep Neural Networks. 
3.	Programming workshop on Deep neural networks ? Convolutional NNs. 
4.	Programming workshop on Knowledge Distillation in Deep Neural Networks. 

 

Part B (8 hours) Autonomous Systems Perception

 

1.	Real Time Object Detection. 
2.	2D Object Tracking in Embedded Systems. 
3.	Programming workshop on Real Time Object Detection. 
4.	Programming workshop on 2D Object Tracking in Embedded Systems. 

 

Part C (8 hours) Autnomous Systems in Natural Disaster Management

 

1.	Real-Time Image Segmentation. 
2.	Natural Language Processing for Natural Disaster Management. 
3.	Programming workshop on Real-Time Image Segmentation. 
4.	Programming workshop on Natural Language Processing for Natural Disaster Management. 

 

 

You can use the following link for course registration:

 <https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/> https://rc.auth.gr/product-list/single-product/127

 

For questions, please contact: Ioanna Koroni < <mailto:koroniioanna at csd.auth.gr> koroniioanna at csd.auth.gr>

 

This programming short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker.  He is the coordinator of the EC funded International AI Doctoral Academy ( <http://www.i-aida.org/> AIDA), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He is Coordinator of the European Horizon2022 R&D project TEMA and he was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 35500+ citations to his work and h-index 86+.

  

Relevant links:
1) Prof. I. Pitas:  <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el
2) Horizon2022 EU funded R&D project TEMA:  https://tema-project.eu/

3) Horizon2022 EU funded R&D project AI4EUROPE:  https://www.ai4europe.eu/

4) Horizon2020 EU funded R&D project Aerial-Core:  <https://aerial-core.eu/> https://aerial-core.eu/

5) Horizon2020 EU funded R&D project Multidrone:  <https://multidrone.eu/> https://multidrone.eu/
6) International AI Doctoral Academy (AIDA):  <http://www.i-aida.org/> http://www.i-aida.org/
7) Horizon2020 EU funded R&D project AI4Media:  <https://ai4media.eu/> https://ai4media.eu/
8) AIIA Lab:  <https://aiia.csd.auth.gr/> https://aiia.csd.auth.gr/ 

 

 

Sincerely yours

Prof. I. Pitas

Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)

Aristotle University of Thessaloniki, Greece

 

 

Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in:  <https://lists.auth.gr/sympa/info/cvml> https://lists.auth.gr/sympa/info/cvml

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From chz8 at aber.ac.uk  Wed Jun 28 11:53:46 2023
From: chz8 at aber.ac.uk (Christine Zarges [chz8] (Staff))
Date: Wed, 28 Jun 2023 15:53:46 +0000
Subject: Connectionists: Last Call for SPECIES Scholarships;
 Extended Deadline: 03/07/2023 (AoE)
Message-ID: <82603563-2360-4B2F-9F4B-E3C20132DDA1@aber.ac.uk>

(Apologies for cross-posting)

**************************************************************************************************
Last Call for SPECIES Scholarships

Extended Deadline: 03/07/2023 (AoE)
Website: https://species-society.org/scholarships-2023/
Email: students at species-society.org
**************************************************************************************************

Applications for the 2023 SPECIES scholarships are still open. Due to some requests, we have decided to extend the application deadline over the weekend. The new deadline is 03/07/2023 (AoE). There will be no further extensions.

The scholarships are aimed at current research students and recent PhD graduates. They involve an in-person internship of three months in one of the listed host institutions (see link below). The recipients of the scholarships will receive an allowance of 900 euros per month as contribution towards accommodation and living expenses during the research visit.

More information on conditions of the scholarships and how to apply: https://species-society.org/scholarships-2023/

List of host institutions and their projects: https://species-society.org/scholarship-hosts-2023/



----------------------------------------------------------------------------------------------------------------------
Y Brifysgol orau yn y DU am Ansawdd ei Dysgu a Phrofiad Myfyrwyr
Best University in the UK for Teaching Quality and Student Experience
(The Times and Sunday Times, Good University Guide 2021)
Rydym yn croesawu gohebiaeth yn Gymraeg a Saesneg. Cewch ateb Cymraeg i bob gohebiaeth Gymraeg ac ateb Saesneg i bob gohebiaeth Saesneg. Ni fydd gohebu yn Gymraeg yn arwain at oedi.
We welcome correspondence in Welsh and English. Correspondence received in Welsh will be answered in Welsh and correspondence in English will be answered in English. Corresponding in Welsh will not involve any delay.


From serendipity.alvin at gmail.com  Wed Jun 28 23:45:29 2023
From: serendipity.alvin at gmail.com (Alvin Yue)
Date: Thu, 29 Jun 2023 11:45:29 +0800
Subject: Connectionists: International Conference on Blockchain (ICBC 2023)
Message-ID: <CAAEGQ1Zr33w-2XqDPePd7QAsLn86s_cL8JBMo7Jas23Y7FWXDQ@mail.gmail.com>

International Conference on Blockchain (ICBC 2023)

[Apologies if you receive multiple copies of this message]
Call For Papers
=============================================================================
CFP:  International Conference on Blockchain (ICBC 2023)
September 23 - 26, 2023, Honolulu, Hawaii, USA
[Submission Deadline: July 10]

http://blockchain1000.org/2023



>From the invention of blockchain (BC) concepts in 2008, with the
development of distributed data storage, point-to-point transmission,
consensus mechanism, encryption algorithm and so on, the blockchain
technology has been paid more and more attentions by all countries. At
present, the application of blockchain has been extended from the financial
field to the Internet of Things, intelligent manufacturing, supply chain
management, and many other fields. The blockchain is creating a new
technological innovation and industrial change on a global scale. We indeed
need creative thinking, long-term visions, and innovative methodologies to
respond to such a change.  The first International Conference on Blockchain
(ICBC 2018) was created in 2018 to promote research and application
innovations around the world in the field of blockchain. Part of the SCF
2018, ICBC 2018 was successfully held on June 25 - June 30, 2018, Seattle,
USA. Part of the SCF 2019, ICBC 2019 was successfully held on June 25 - 30,
2019, San Diego, USA. Part of the SCF 2020, ICBC 2020 and ICBC 2021 was
successfully held over the Internet. ICBC 2022 was successfully held on
December 10 - 14, 2022, Hawaii, USA. In 2023, we will celebrate our 2023
version of gathering, to strive to advance the largest international
professional forum on blockchain services.

ICBC 2023 is a member of Services Conference Federation (SCF). SCF 2023
will have the following 10 collocated service-oriented sister conferences:
2023 International Conference on Web Services (ICWS 2023), 2023
International Conference on Cloud Computing (CLOUD 2023), 2023
International Conference on Services Computing (SCC 2023), 2023
International Conference on Big Data (BigData 2023), 2023 International
Conference on AI & Mobile Services (AIMS 2023), and 2023 International
Conference on Metaverse (METAVERSE 2023), 2023 International Conference on
Internet of Things (ICIOT 2023), 2023 International conference on Cognitive
Computing (ICCC 2023), 2023 International Conference on Edge Computing
(EDGE 2023), and 2023 International Conference on Blockchain (ICBC 2023).

 As the founding member of the Services Conference Federation (SCF), the
first International Conference on Web Services (ICWS) was held in June 2003
in Las Vegas, USA. Meanwhile, the First International Conference on Web
Services - Europe 2003 (ICWS-Europe 2003) was held in Germany in October
2003. ICWS-Europe'03 is an extended event of the 2003 International
Conference on Web Services (ICWS 2003) in Europe. In 2004, ICWS-Europe was
changed to the European Conference on Web Services (ECOWS), which was held
at Erfurt, Germany.

Sponsored by Services Society and Springer, SCF 2018 and SCF 2019 were held
successfully in Seattle and San Diego, USA. SCF 2020 and SCF 2021 was held
successfully online and in Shenzhen, China. To celebrate its 20-year-old
birthday, SCF 2023 will be held on September 23 - 26, 2023, Honolulu
Hawaii, USA and Satellite Sessions in Sanya, Hainan, China.





==================
Important Dates
==================

Regular paper submission due: July 10, 2023

Review comments to Regular paper submssion: July 25, 2023

Camera ready manuscripts due: August 1, 2023

Conference dates: September 23 - 26, 2023


==================
Topics of interest include, but are not limited to
==================
- Development Platforms for Blockchain
- Fundamental Research for Blockchain
- Blockchain Standard Design
- Blockchain and Cloud Computing
- Blockchain and Big Data
- Blockchain and Internet of Things
- Blockchain and Next Generation Internet
- Blockchain and Encryption Algorithm
- Blockchain Platforms for Applications
- Blockchain Application Reference Architectures and Instances
- Blockchain Application in Financial Services: Digital currency, Asset
digitization, Smart securities
- Blockchain Application in Social Management: Digital Identity, Public
Utilities, Public welfare, Government management
- Blockchain Application in Supply Chain Management: Anti-fake and
Traceability, Smart contract, Logistics management
- Blockchain Application in Enterprise Management: Financial Management,
Business management process, Data management
- Blockchain Application in Intelligent Manufacturing: Industrial Internet
of Things, Intelligent manufacture and management
- Blockchain Application in Personal Service: Copyright protection, Legal
service, Education service
- Other Block Chain Applications and Solutions
- Blockchain business models and innovations
- Blockchain for Metaverse


==================
Paper Submission
==================
The Proceedings of ICBC 2023 will be published in the Lecture Notes in
Computer Science (LNCS) by Springer International Publishing AG. Currently
the Abstracting and Indexing services covered by Springer?s data feeds for
LNCS proceedings include Engineering Index EI (Compendex and Inspec
databases), DBLP, Google Scholar, IO-Port, MathSciNet, Scopus, and ZBlMath.
The Best Paper Awards will be sponsored by Springer, which is a leading
global scientific, technical and medical portfolio, providing researchers
in academia, scientific institutions and corporate R&D departments with
quality content through innovative information, products and services.

Extended versions of selected papers will be invited for special issues in
the Services Transactions on Internet of Things (STIOT), Services
Transactions on Big Data (STBD), Services Transactions on Services
Computing (STSC), Services Transactions on Cloud Computing (STCC),
International Journal of Web Services Research (JWSR), and International
Journal of Business Process Integration and Management (IJBPIM). JWSR is
indexed by SCI and EI.

All submitted manuscripts will be peer-reviewed by at least 3 program
committee members. Accepted and presented papers from all ICBC tracks will
appear in the conference proceedings.  Submitted Research Track and
Application Track manuscripts will be limited to 15 (LNCS Proceedings
style) pages and REQUIRED to be formatted using the LNCS Proceedings
template ( WORD , Latex ). Submitted Short Paper track manuscripts will be
limited to 8 (LNCS Proceedings style) pages. The authors can extend a
maximum of 2 pages for each paper but will have to pay extra fees for each
extra page. Unformatted papers and papers beyond the maximum page limit may
not be reviewed. Electronic submission of manuscripts (in PDF or Word
format) is required. Detailed instructions for electronic paper preparation
and submission, panel proposals, tutorial proposals, workshop proposals,
and review process can be found at conference site.

The Proceedings of ICBC 2023 will be published in the Lecture Notes in
Computer Science (LNCS) by Springer International Publishing AG. For all 10
collocated conferences of SCF 2023, the content of this proceedings volume
will be made freely accessible to anyone in the Springer?s digital library
after four years upon publication.

At least one author of each accepted paper is required to register to the
conference and present the paper. One Best Paper award and one Best Student
Paper award will be granted at ICBC 2023. The Best Paper Awards will be
sponsored by Services Society and Springer, which is a leading global
scientific, technical and medical portfolio, providing researchers in
academia, scientific institutions and corporate R&D departments with
quality content through innovative information, products and services. The
first author of the best student paper must be a full-time student.

Manuscripts submitted to the Research Track focusing on applications or
solutions  may be recommended to the Application Track or other tracks for
further consideration if the session slots are available.

ICBC 2023 Submission

ICBC 2023 Research Track:
https://edas.info/newPaper.php?c=30771&track=117349

ICBC 2023 Application and Industry Track:
https://edas.info/newPaper.php?c=30771&track=117348

ICBC 2023 Short Paper Track:
https://edas.info/newPaper.php?c=30771&track=117350



==================
Organizing Committee
==================
-General Chairs
--Prof. Shiping Chen, CSIRO Data61 & UNSW, Australia

-Program Chairs
Dr. Qin Wang, CSIRO Data61, Australia
Prof. Jun Feng, Huazhong University of Science and Technology, China

-Operations Committee
Dr. Jing Zeng, China Gridcom Co.,Ltd.
Dr. Yishuang Ning, Tsinghua University
Dr. Sheng He, Tsinghua University

-ICBC 2023 Program Committee
Dr., Roberto Di Pietro, Hamad Bin Khalifa University
Dr., Adel ElMessiry, USA
Dr., Xinxin Fan, IoTeX
Dr., Chao Li, Beijing Jiaotong University
Dr., Catalin Meirosu, Ericsson
Dr., Lei Xu, Kent State University
Dr., Rui Zhang, Institute of Information Engineering, Chinese Academy of
Sciences
Mr., Arnab Chatterjee, R3
Prof., Rudrapatna Shyamasundar, Indian Institute of Technology Bombay
Prof., Andreas Veneris, University of Toronto
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From er.anubajaj at gmail.com  Thu Jun 29 01:32:18 2023
From: er.anubajaj at gmail.com (Anu Bajaj)
Date: Thu, 29 Jun 2023 05:32:18 +0000
Subject: Connectionists: First CFP - 15th Soft Computing and Pattern
 Recognition (SoCPaR 2023) - Hybrid Event - Springer Publication
Message-ID: <CANaC68CLGQfbULmKYxyRH0hEw+zorLqPBZHOx_WBNKFdWv3xcg@mail.gmail.com>

 ** First Call for Papers - please circulate this CFP to your colleagues
and networks **

-- 15th International Conference on Soft Computing and Pattern Recognition
(SoCPaR 2023) --

*SoCPaR 2023 Theme: *Soft Computing Approaches in Large Language Models and
Generative Pre-trained Transformers
============================================================
================================

http://www.mirlabs.org/socpar23
http://www.mirlabs.net/socpar23

*Onsite and On the World Wide Web*

*Onsite Venues:*
*Olten, Switzerland :* https://en.wikipedia.org/wiki/Olten
*Porto, Portugal :* https://en.wikipedia.org/wiki/Porto
*Vilnius, Lithuania :* https://en.wikipedia.org/wiki/Vilnius
*Kochi, India :* https://en.wikipedia.org/wiki/Kochi


December 13-15, 2023

HIS 2023 will be a hybrid conference that will run fully in-person and
fully virtually to take advantage of the best that the two modalities can
offer. Besides regular paper presentations, the technical programme will
include 8-10 plenary lectures and poster sessions. HIS 2023 Organising
Committee also recognises the benefits of virtual conferences allowing
participation at a cheaper rate. This allows a higher number of research
scholars and students to attend. Selected authors will have the option to
attend and present the papers virtually or present in one of the FOUR
venues in Europe and Asia.


Like previous years, proceedings of SoCPaR'23 are expected to be published
with Springer Verlag in their Lecture Notes in Networks and Systems (LNNS)
series. (https://www.springer.com/series/15179)

Proceedings of SoCPaR'22: https://link.springer.com/
book/10.1007/978-3-031-27524-1
Indexed by: SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago, DBLP, EI
Compendex, Japanese Science and Technology Agency (JST), SpringerLink

History of SoCPaR series: http://www.mirlabs.net/socpar23/previous.php

**Important Dates**
---------------------
Paper submission due: September 30, 2023
Notification of paper acceptance: October 31, 2023
Registration and Final manuscript due: November 10, 2023
Conference: December 13-15, 2023

**About SoCPaR 2023**
---------------------

After the success of the 14th International Conference on
Soft Computing and Pattern Recognition (SoCPaR 2022),
SoCPaR 2023 is organized to bring together worldwide leading
researchers and practitioners interested in advancing the
state-of-the-art in Soft Computing and Pattern Recognition,
for exchanging knowledge that encompasses a broad range of
disciplines among various distinct communities. It is hoped
that researchers and practitioners will bring new prospects
for collaboration across disciplines and gain inspiration to
facilitate novel breakthroughs. The themes for this conference
are thus focused on "Innovating and Inspiring Soft Computing and
Intelligent Pattern Recognition".

**Topics (not limited to)**
---------------------------
Soft Computing and Applications (but not limited to):
Evolutionary computing
Swarm intelligence
Artificial immune systems
Fuzzy Sets
Uncertainty analysis
Fractals
Rough Sets
Support vector machines
Artificial neural networks
Case Based Reasoning
Wavelets
Hybrid intelligent systems
Nature inspired computing techniques
Machine learning
Ambient intelligence
Hardware implementations

Pattern Recognition and Applications (but not limited to):
Information retrieval
Data Mining
Web Mining
Image Processing
Computer Vision
Bio-informatics
Information security
Network security
Steganography
Biometry
Remote sensing
Medical Informatics
E-commerce
Signal Processing
Control systems

**Submission Guidelines**
-------------------------
Submission of paper should be made through the submission page
from the conference web page. Please refer to the conference website
for guidelines to prepare your manuscript.

Paper format templates:
https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-
preparation/5636#c3324

SoCPaR?23 Submission Link:
http://www.mirlabs.org/socpar23/submission.php (under development)


** SoCPaR 2023 Organization **
------------------------------
General Chairs
Ajith Abraham, Machine Intelligence Research Labs, USA
Art?ras Kaklauskas, Vilnius Gediminas Technical University, Lithuania

Program Chairs
Andries Engelbrecht, University of Stellenbosch, South Africa
Oscar Castillo, Tijuana Institute of Technology, Mexico

Publication Chair
Anu Bajaj, Thapar Institute of Engineering and Technology, India

Web Services Chair
Kun Ma, University of Jinan, China

Publicity Chair
Pooja Manghirmalani Mishra, Machine Intelligence Research Labs, India

International Program Committee
TBA

Note: If you would like to propose a special session, please email Ms.
Mabrouka Salmi <salmimabrouka7 at gmail.com> with a cc to Dr. Anu Bajaj <
er.anubajaj at gmail.com>

**Technical Contact**
---------------------------------
Dr. Ajith Abraham
Email: ajith.abraham at ieee.org
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From z.tan.phd at ieee.org  Thu Jun 29 05:53:39 2023
From: z.tan.phd at ieee.org (Zhiyuan Tan)
Date: Thu, 29 Jun 2023 10:53:39 +0100
Subject: Connectionists: [CfP] EAI BDTA 2023 - PhD Track
Message-ID: <CAH4EeHEAQsYb7e+H0AuEwF+R_D-dcvwz8xBNcxCmcyP7w_gWew@mail.gmail.com>

Dear colleagues,

Sorry for the cross-posting. This is the CfP for EAI BDTA 2023  - PhD Track

===================================
EAI BDTA 2023 - PhD Track

Edinburgh, UK, 23 August 2023

Conference website: https://infoscale.eai-conferences.org/2023/phd-track/
Submission link: https://infoscale.eai-conferences.org/2023/submission/

Full Paper Submission deadline: 5 July 2023
Notification deadline: 20 July 2023
Camera-ready deadline: 25 July 2023
The timezone of Important Dates is AoE (Anywhere on the Earth) 23:59:59pm.


The EAI BDTA 2023 conference includes a PhD Track, serving as a forum for
PhD students on all subjects relating to the intersection of the
conference's main topics. We aim to give PhD students the opportunity to
present their ongoing work and interact with senior researchers,
experienced in supervising and examining doctoral students. Our main
objective is for students to receive constructive feedback and useful
advice from senior participants in a respectful and interactive
environment. This forum will also be an enormous opportunity for students
to develop their professional network, hoping that it may positively impact
their future careers.


== Topics ==
We welcome contributions from the following fields:

- Hardware and Software solutions for Big Data Searching, Storing and
Management
- Data Visualization and Visual Analytics
- Natural Language Processing in Big Texts
- Biomedical Imaging Pre-processing and Analysis
- Structured and Unstructured Data Mining
- Deep Learning Architecture, Representations, Unsupervised and Supervised
algorithms
- Scalable Computational Intelligence Tools
- Novel Computational Intelligence Approaches for Data Analysis
- Evolutionary and Bio-inspired Approaches for Big Data Analysis
- New Domains and Novel Applications Related to Big Data Technologies
- Educational Data Mining. Learning Analysis
- Artificial Intelligence in Education. Medical Informatics
- Information Systems Security
- Meta Heuristic Optimization
- Blockchain Technologies


== Submission Guidelines ==

- Papers should be in English.
- Previously published work may not be submitted, nor may the work be
concurrently submitted to any other conference or journal. Such papers will
be rejected without review.
- The paper submissions must follow the Springer formatting guidelines (see
Author?s kit section on
https://infoscale.eai-conferences.org/2023/submission/).
- Read the Publication Ethics and Malpractice Statement.

Papers should be submitted through EAI ?Confy+? system, and have to comply
with the Springer format (see Author?s kit section).

- Papers should be 6 - 11 pages in length.

Paper templates can be downloaded from:
- LaTeX2e Proceedings Templates (zip) -
https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_Latex_Template.zip
- Microsoft Word Proceedings Templates (zip) -
https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_DOCX_Template.zip


== Publication ==

All registered papers will be submitted for publishing by Springer and made
available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services,
such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library,
IO-Port, MatchSciNet, Inspec and Zentralblatt MATH.

Additional publication opportunities:

 EAI Transactions series (Open Access)
 EAI/Springer Innovations in Communications and Computing Book Series
 (titles in this series are indexed in Ei Compendex, Web of Science &
Scopus)


== Venue ==

The conference will be held in Craiglockhart Campus - Edinburgh Napier
University, Edinburgh, United Kingdom


== Contact ==

EAI BDTA 2023 Conference Manager: sara.csicsayova at eai.eu

*------*

*Dr Zhiyuan (Thomas) Tan*

Associate Professor in Cybersecurity | School of Computing | Edinburgh
Napier University

E-mail: z.tan.phd at ieee.org

Website: https://www.napier.ac.uk/people/thomas-tan
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From z.tan.phd at ieee.org  Thu Jun 29 06:21:33 2023
From: z.tan.phd at ieee.org (Zhiyuan Tan)
Date: Thu, 29 Jun 2023 11:21:33 +0100
Subject: Connectionists: [CfP] SECSOC 2023: The 5th International Workshop
 on Secure Smart Societies in Next-Generation Networks
Message-ID: <CAH4EeHFvXPch1oiNBPhvFC5KTj-=j0_NWJZmFxB4FBt4Hdef0g@mail.gmail.com>

Dear colleagues,

Sorry for the cross-posting. This is the CfP for SECSOC 2023

===================================
SECSOC 2023: The 5th International Workshop on Secure Smart Societies in
Next-Generation Networks

Edinburgh, UK, 23 August 2023

Conference website:
https://infoscale.eai-conferences.org/2023/secsoc-2023-the-5th-international-workshop-on-secure-smart-societies-in-next-generation-networks/
Submission link: https://infoscale.eai-conferences.org/2023/submission/

Full Paper Submission deadline: 5 July 2023
Notification deadline: 20 July 2023
Camera-ready deadline: 25 July 2023
The timezone of Important Dates is AoE (Anywhere on the Earth) 23:59:59pm.

The 5th International Workshop on Secure Smart Societies in Next Generation
Networks (SECSOC-2023) will be held in conjunction with The 13th EAI
International Conference on Big Data Technologies and Applications (EAI
BDTA 2023) in Edinburgh, the United Kingdom. The focus of this
international workshop is to bring together expertise from industry and
academia to build a secure smart society in next-generation networking
paradigm. It solicits papers for presenting novel schemes to enhance the
reliability, robustness, and privacy of the smart society that is
constructed upon the Cyber-Physical Systems (CPS).


== Submission Guidelines ==

- Papers should be in English.
- Previously published work may not be submitted, nor may the work be
concurrently submitted to any other conference or journal. Such papers will
be rejected without review.
- The paper submissions must follow the Springer formatting guidelines (see
Author?s kit section on
https://infoscale.eai-conferences.org/2023/submission/).
- Read the Publication Ethics and Malpractice Statement.

Papers should be submitted through EAI ?Confy+? system, and have to comply
with the Springer format (see Author?s kit section).

- Papers should be 12 - 15 pages in length.

Paper templates can be downloaded from:
- LaTeX2e Proceedings Templates (zip) -
https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_Latex_Template.zip
- Microsoft Word Proceedings Templates (zip) -
https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_DOCX_Template.zip


== Objectives, Scope, and Topics ==

Big data collected from numerous CPS, connected via the advanced 5G and the
future 6G networks across various interfaces and locations, will facilitate
more sophisticated Smart Decision Making and Personalised Services.
Security vulnerabilities in CPS, however, leave users or even the entire
smart society at risk. Besides, a rapid on-going evolution in the technical
architectures and topologies of the Internet brings new security challenges
to the fore. The migration of networks to Software-Defined Networking and
Network Functions Virtualization, particularly, captures attention on the
security of orchestration, management functionality, surveillance as well
as privacy. Novel security schemes are, therefore, in urgent demand to
enhance the reliability, robustness, and privacy of a smart society. It is
critical to understand the potential security vulnerabilities and threat
models, as well as to develop security architectures and defending
mechanisms for CPS and the next-generation network infrastructures.

The topics of interest may include but are not limited to the following:
  Security and privacy of CPS including IoT
   Threat Models in CPS
   Attack Strategies for CPS
   Security Architectures
   Reliable Interactions with Network Services
   System and Data Integrity
   Scalability and Robustness for CPS
   Identity Management in CPS
   Trustworthiness in CPS
   Privacy in CPSAdaptive Security in CPS
   Secure CPS interactions
   Secure CPS architecture design
  Secure 5G/6G networks
   Core Network Security
   Cellular security
   Physical Layer Security
   Terminal and Edge Computing Security
   Security Management and Orchestration of NFV and SDN elements
   Trusted Computing with NFV and SDN
   Protocol security: Diameter, SS7, BGP etc.
   5G/6G wireless communications
  General network security schemes for next-generation networking
   Malware and attack detection and prevention techniques
   Authentication and Authorisation
   Encryption protocols, e.g. homomorphic encryption
   Key Exchange, Storage and Protection
   Honeypot and Firewall Technologies
   Software vulnerability testing, or reverse engineering.
   Formal Specification and Analysis of Protocols and Attacks, e.g. model
checking etc.
   Blockchain technologies
   Cloud computing


== Committees ==

-- General Chairs
  Assoc. Prof. Zhiyuan Tan; The Edinburgh Napier University (ENU), UK
  Dr. Aruna Jamdagni; The University of Western Sydney (UWS), Australia

-- Program Chairs
  Prof. Ren Ping Liu; The University of Technology, Sydney (UTS), Australia
  Assoc. Prof. Chunhua Su, The University of Aizu, Japan
  Dr. Xuyun Zhang; Macquarie University, Australia

-- PC members
  Prof. Christoph Thuemmler, Edinburgh Napier University (ENU), UK
  Prof. Jiankun Hu, University of New South Wales at the Australian Defence
Force Academy, Australia
  Prof. William Buchanan, Edinburgh Napier University (ENU), UK
  Prof. Xiangjian He, University of Technology, Sydney (UTS), Australia
  Prof. Shujun Li, University of Kent, UK
  Assoc. Prof. Lam-for Kwok, City University of Hong Kong, China
  Dr. Alexandr Vasenev, TNO, The Netherlands
  Dr. Budi Arief, University of Kent, UK
  Dr. Christian Doerr, TU Delft, The Netherlands
  Dr. Gordon Russell, Edinburgh Napier University (ENU), UK
  Dr. Imed Romdhani, Edinburgh Napier University (ENU), UK
  Dr. Julio Hernandez-Castro, University of Kent, UK
  Dr. Mian Ahmad Jan, Abdul Wali Khan University Mardan, Pakistan
  Dr. Naghmeh Moradpoor, Edinburgh Napier University (ENU), UK
  Dr. Priyadarsi Nanda, University of Technology, Sydney (UTS), Australia
  Dr. Rameez Asif, University of East Anglia, UK
  Dr. Shancang Li, Cardiff University, UK


== Publication ==

All registered papers will be submitted for publishing by Springer and made
available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services,
such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library,
IO-Port, MatchSciNet, Inspec and Zentralblatt MATH.

Additional publication opportunities:

 EAI Transactions series (Open Access)
 EAI/Springer Innovations in Communications and Computing Book Series
 (titles in this series are indexed in Ei Compendex, Web of Science &
Scopus)


== Venue ==

The conference will be held in Craiglockhart Campus - Edinburgh Napier
University, Edinburgh, United Kingdom


== Contact ==

All questions about submissions should be emailed to z.tan at napier.ac.uk

*------*

*Dr Zhiyuan (Thomas) Tan*

Associate Professor in Cybersecurity | School of Computing | Edinburgh
Napier University

E-mail: z.tan.phd at ieee.org

Website: https://www.napier.ac.uk/people/thomas-tan
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From z.tan.phd at ieee.org  Thu Jun 29 04:54:50 2023
From: z.tan.phd at ieee.org (Zhiyuan Tan)
Date: Thu, 29 Jun 2023 09:54:50 +0100
Subject: Connectionists: [5th CfP] EAI BDTA 2023: The 13th EAI International
 Conference on Big Data Technologies and Applications [Deadline Extended]
Message-ID: <CAH4EeHGKuFYPz=RnatbEjXJW-sish6w53wC6_GCKC=7hOD4mXA@mail.gmail.com>

Dear colleagues,

Sorry for the cross-posting. This is the 5th CfP for EAI BDTA 2023

===================================
EAI BDTA 2023: The 13th EAI International Conference on Big Data
Technologies and Applications

Edinburgh, UK, 23-24 August 2023

Conference website: https://infoscale.eai-conferences.org/2023/
Submission link: https://infoscale.eai-conferences.org/2023/submission/

Submission Deadline: ***5 July 2023** [Extended]*
The timezone of Important Dates is AoE (Anywhere on the Earth) 23:59:59pm.


The 13th EAI International Conference on Big Data Technologies and
Applications will be held in Edinburgh, the United Kingdom. This conference
provides a leading forum for the presentation of new advances and research
results in the fields of big data technologies and applications. The
conference will bring together leading researchers, businessmen, and
scientists in the domain of interest from around the world.


== Keynotes ==
Professor Huiyu Zhou, University of Leicester, Title: Emerging challenges
and solutions in data and privacy protection
Professor Jungong Han, University of Sheffield, Title: Open World Deep
Learning for Visual Understanding


== Best Paper Award ==
Three Best Paper Awards will be selected by the Technical Program Committee
and the Authors will be awarded a Certificate by EAI.
1. REGULAR/FULL PAPER
2. SHORT PAPER
3. STUDENT'S PAPER


== Special Issues ==
Selected papers will be invited to submit an extended version of their work
to the journal special issues:
- Mobile Networks and Applications (MONET)
- EAI Endorsed Transactions on Scalable Information Systems(Open Access)
- EAI/Springer Innovations in Communications and Computing Book Series
- International Journal of Web Information Systems


== Submission Guidelines ==
- Papers should be in English.
- Previously published work may not be submitted, nor may the work be
concurrently submitted to any other conference or journal. Such papers will
be rejected without review.
- The paper submissions must follow the Springer formatting guidelines (see
Author?s kit section on
https://infoscale.eai-conferences.org/2023/submission/).
- Read the Publication Ethics and Malpractice Statement.

Papers should be submitted through EAI ?Confy+? system, and have to comply
with the Springer format (see Author?s kit section).

 Regular papers should be up to 12-15+ pages in length.
 Short papers should be 6-11 pages in length.


Paper templates can be downloaded from:
- LaTeX2e Proceedings Templates (zip) -
https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_Latex_Template.zip
- Microsoft Word Proceedings Templates (zip) -
https://help.eai-conferences.org/wp-content/uploads/sites/88/2021/04/Springer_DOCX_Template.zip


== Objectives, Scope, and Topics ==

All the topics related to big data techniques, such as big data collection
and storage, big data management and retrieval, big data mining approaches,
and big data visualization, are in the scope of BDTA 2023. Besides, its
applications in all related areas, such as business, education, medicine,
management, and health, are also in the scope of BDTA 2023.

We welcome contributions from the following fields:

 Hardware and Software solutions for Big Data Searching, Storing and
Management
 Data Visualization and Visual Analytics
 Natural Language Processing in Big Texts
 Biomedical Imaging Pre-processing and Analysis
 Structured and Unstructured Data Mining
 Deep Learning Architecture, Representations, Unsupervised and Supervised
algorithms
 Scalable Computational Intelligence Tools
 Novel Computational Intelligence Approaches for Data Analysis
 Evolutionary and Bio-inspired Approaches for Big Data Analysis
 New Domains and Novel Applications Related to Big Data Technologies
 Educational Data Mining. Learning Analysis
 Artificial Intelligence in Education. Medical Informatics
 Information Systems Security
 Meta Heuristic Optimization
 Blockchain Technologies


== Committees ==

General Chair
Associate Prof. Zhiyuan Tan
Edinburgh Napier University, Edinburgh, UK

General Co-Chair
Prof. Huiyu Zhou
University of Leicester, Leicester, UK

Technical Program Committee Chairs
Associate Prof. Min Xu
University of Technology Sydney, Sydney, Australia

Dr Yulei Wu
University of Exeter, Exeter, UK


Technical Program Committee Co-Chair
Prof. Wenwu Wang
University of Surrey

Prof. Ashkan Sami
Edinburgh Napier University, Scotland

Publicity and Social Media Chair
Dr Yanchao Yu
Edinburgh Napier University, Edinburgh, UK

Workshop Chair
Dr Xingjie Wei
University of Leeds, Leeds, UK

Sponsorship & Exhibit Chair
Dr Nour Moustafa
University of New South Wales (UNSW) Canberra, Canberra, Australia

Publication Chair
Prof. Amin Beheshti
Macquarie University Sydney, Australia

Local Chair
Dr Kehinde Babaagba
Edinburgh Napier University, Edinburgh, UK


== Publication ==

All registered papers will be submitted for publishing by Springer and made
available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services,
such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library,
IO-Port, MatchSciNet, Inspec and Zentralblatt MATH.

Additional publication opportunities:

 EAI Transactions series (Open Access)
 EAI/Springer Innovations in Communications and Computing Book Series
 (titles in this series are indexed in Ei Compendex, Web of Science &
Scopus)


== Venue ==

Edinburgh, United Kingdom


== Contact ==

EAI BDTA 2023 Conference Manager: sara.csicsayova at eai.eu
==================================

Best regards,

Thomas

*------*

*Dr Zhiyuan (Thomas) Tan*

Associate Professor in Cybersecurity | School of Computing | Edinburgh
Napier University

E-mail: z.tan.phd at ieee.org

Website: https://www.napier.ac.uk/people/thomas-tan
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