From mtanveer at iiti.ac.in Thu Dec 1 00:18:01 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Thu, 1 Dec 2022 10:48:01 +0530 Subject: Connectionists: 5 days IEEE CIS Summer School on "Deep Learning and Computational Intelligence: Theory and Applications (Hybrid Mode) (Registration Deadline: December 05, 2022) In-Reply-To: References: Message-ID: Dear Connectionists, I am delighted to inform you that IIT Indore is organizing a 5 days IEEE Computational Intelligence Society (CIS) Summer School on "Deep Learning and Computational Intelligence: Theory and Applications" during December 12-16, 2022. Details of the IEEE CIS Summer School are available at http://events.iiti.ac.in/ieee-cis-summer-school-2022/ The objective of this summer school is to provide a unique platform for young researchers, professionals, and students from all around the world in the recent developments and applicability of deep learning (DL) with computational intelligence (CI). The school will bring people working in CI and DL domains to a common platform for generating innovative ideas. The school will also assess the state of the art on what new directions lie open for research in the areas of CI and DL. In this way, the school will generate exciting new communication across various CI, DL and machine learning disciplines. This summer school features a number of distinguished speakers on DL and CI which will be helpful for researchers and participants. *I hereby request you to circulate the information of IEEE CIS Summer School among your colleagues/research scholars and PG students and encourage them to participate in this school and get benefited.* Kindly note the following important deadlines: Registration: December 05, 2022 (Extended) Opening Ceremony: December 12, 2022 Closing Ceremony: December 16, 2022 Some of the distinguished speakers are: Juergen Schmidhuber, Director, KAUST AI Initiative [Homepage] [Google Scholar] PN Suganthan, Qatar University and NTU Singapore [Homepage] [Google Scholar] Johan Suykens, KU Leuven [Homepage] [Google Scholar] CV Jawahar, IIIT Hyderabad [Homepage] [Google Scholar] Kai Qin, Swinburne University of Technology, Australia [Homepage] [Google Scholar] Complete list of speakers are available at http://events.iiti.ac.in/ieee-cis -summer-school-2022/main/speaker Kindly note that the IEEE CIS summer school will be organized in hybrid mode. The participants willing to join in the virtual mode may request for reduced registration fee by sending an email to 2022ieee.cis.ss at gmail.com. Please find the attached brochure for more details. Thanks and best regards, General Chair ? IEEE CIS Summer School 2022 Tanveer Homepage: http://iiti.ac.in/people/~mtanveer/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Brochure_IEEE_CIS_Summer_School_2022 (2).pdf Type: application/pdf Size: 961419 bytes Desc: not available URL: From suashdeb at gmail.com Thu Dec 1 05:51:53 2022 From: suashdeb at gmail.com (Suash Deb) Date: Thu, 1 Dec 2022 16:21:53 +0530 Subject: Connectionists: Extended deadline, ISMSI 2023 (Kuala Lumpur, Malaysia) Message-ID: Dear esteemed colleagues, This is to share with you that on numerous requests, the deadline for submission of manuscripts for 2023 7th ISMSI, has been extended till 30th December 2022. If you could not complete your manuscript due to various constraints, I urge you to avail this opportunity and submit your valued research outcomes for this conference and on acceptance, get your paper published in ACM published proceedings online and endeavor to publish its extended version at NCAA, a highly ranked Springer publication https://link.springer.com/journal/521 For more information, pls visit http://www.ismsi.org With best regards, Suash Deb General Chair, ISMSI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Thu Dec 1 10:19:25 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Thu, 1 Dec 2022 17:19:25 +0200 Subject: Connectionists: Live e-Lecture by Prof. Ioannis Pitas: "Social Impact of AI Science and Engineering: Information Filtering and Disinformation", Thursday 8th December 2022, 17:00-18:00 CET (8:00-9:00 PST), (10:00-11:00 CST) References: <174d01d8f2af$d2511f40$76f35dc0$@csd.auth.gr> <003d01d904d4$863701b0$92a50510$@csd.auth.gr> <07e901d90590$df607390$9e215ab0$@csd.auth.gr> <007701d90593$5cd0f5f0$1672e1d0$@csd.auth.gr> Message-ID: <08a001d90598$4cf40a50$e6dc1ef0$@csd.auth.gr> Dear AI enthusiast/scientist/engineer/student, Prof. Ioannis Pitas, a prominent AI researcher internationally (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, chair of the International AI Doctoral Academy), will deliver the e-lecture: "Social Impact of AI Science and Engineering: Information Filtering and Disinformation", Thursday 8th December 2022, 17:00-18:00 CET (8:00-9:00 PST), (10:00-11:00 CST) You can join for free without registration using the zoom link: https://authgr.zoom.us/j/94255772113 Passcode: 867064 Attendance is free. Abstract: Our world is increasingly complex, in terms of both its material components (e.g., smart cities, infrastructure) and its social processes (e.g., social media outreach). Both individual humans and entire societies find it difficult to cope with world complexity. For example, humans that are overexposed to a 24/7 information deluge through their mobile phones tend to develop the so-called Generalized OnLine Affect and Cognition (GOLAC) disorder. Its impact has not been studied sufficiently well. It can be devastating to minors and vulnerable people. It forms a good substate for conspiracy theories and disinformation. Artificial Intelligence (AI) in general, and Machine Learning in particular, is our reply to world complexity. It allows us to handle a data flood, analyze data to produce information and use it not only to survive, but also to excel. AI Science and Engineering enable social engineering, allowing us to devise social processes that change our society. Information filtering is a prime example of social engineering. It encompasses many social processes: a) web search, b) recommendation systems for online product and service marketing, b) online match-making and c) news editing and broadcasting. Though they can have a very positive societal impact, they can also have adverse effects, if poorly implemented. For example, they can result in massive private data theft and use to fuel corporate profits. Lack of information filtering can look like a heaven for freedom of speech. Yet the opposite frequently happens in social media environments. Irrationalism, cult culture, anti-intellectualism and anti-elitism pre-existed social media. However, social media have unique characteristics (small world phenomenon, rich-get-richer phenomenon, GOLAC disorder) that boost such tendencies and fuel disinformation. Sentimental and conspiratorial speech propagates like wildfire. Why? Social media company policies favor such voices as they ensure user engagement (and their profits through marketing). The end result is that minority voices highjack the web and disinformation flourishes. AI does provide tools, e.g., for deep fake news creation, that can be misused to fuel disinformation and threaten democratic societies. What is the way forward to defend democracy? This lecture addresses several important questions on the interface between technology and society: * Why our world becomes ever more complex? * Can we cope with world complexity? * What is the relation between freedom of speech and information filtering? * What is the psychological background of on-line cults and conspiracy theories? * Why negative views propagate faster? * What is the relation of irrationalism, and anti-elitism, to social media disinformation? * How can we valorize our private data? All the above issues are addressed in the new 1050+ page book "Artificial Intelligence Science and Society" consisting of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner: 1. "Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology" https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 2. "Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans" https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860 3. "Artificial Intelligence Science and Society Part C: AI Science and Society" https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860 4. "Artificial Intelligence Science and Society Part D: AI Science and the Environment" https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860 About the Lecturer: This lecture and book are 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). This lecture is part of the SIG Icarus "AI days" lectures offered by the AIIA Computer Vision and Machine Learning ( AIIA.CVML) R&D group of the Artificial Intelligence and Information Analysis ( AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.panzeri at gmail.com Thu Dec 1 11:24:57 2022 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Thu, 1 Dec 2022 17:24:57 +0100 Subject: Connectionists: Postdoctoral position in neural coding, UKE, Hamburg (Germany) Message-ID: I am seeking candidates for a fully funded postdoctoral position in computational neuroscience at the University Medical Center Hamburg-Eppendorf (UKE). The successful candidate will conduct research in my computational laboratory (Department of Excellence for Neural Information Processing) at UKE ( https://www.uke.de/english/departments-institutes/institutes/department-of-excellence-for-neural-information-processing/index.html), in collaboration with my lab?s experimental collaborators, including prominently Prof. Christopher Harvey at Harvard Medical School, Prof. Tommaso Fellin at IIT Italy, and Prof. Mriganka Sur at MIT. We will investigate, by developing and using advanced data analysis methods and biophysically plausible neural network models, how populations of neurons (and of glia) in the brain encode information and use it to produce appropriate behaviors. We are particularly interested in discovering how correlations between neurons shape the encoding and transmission of information across areas of the cerebral cortex, and in understanding the theoretical principles of how to combine measures and perturbations of neural activity to probe causally the contributions of interactions between neurons to brain function. Our laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, ambitious and well-funded research environment (including several grants from the NIH Brain Initiative, Simons Foundation, the European Union). This gives successful candidates ample opportunities for advanced training and personal scientific growth. We seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The job is available starting immediately and applications will be considered as soon as they are received and until the position is filled. Funding is available for several years and a minimum commitment of two years is expected by interested candidates. Interested applicants are strongly encouraged to email me (s.panzeri at uke.de or stefano.panzeri at gmail.com) as soon as possible, to inform me of the interest for the position and initiate a discussion about research projects. I suggest interested candidates to attach a CV when inquiring by email. For recent publications from my lab relevant to this project, see: Panzeri S, et al (2022) The structures and functions of correlations in neural population codes. *Nature Reviews Neuroscience* 23: 551-567 Koren V., Panzeri S (2022) Biologically plausible solutions for spiking networks with efficient coding. *NeurIPS 2022,* in press, arXiv:2210.07069 Curreli S, et al (2022) Complementary encoding of spatial information in hippocampal astrocites. *PLoS Biology* 20(3): e3001530. Valente, M. et al (2021), Correlations enhance the behavioral readout of neural population activity in association cortex. *Nature Neuroscience*, 24, 975?986 Chong, E. et al (2020) Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception. *Science* 368, 1329. Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, *Nature*: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. *Neuron* 93: 491-507 Pica, G. et al (2017) Quantifying how much sensory information in a neural code is relevant for behavior, *Neural Information Processing Systems (NeurIPS 2017)* Thanks Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From terry at salk.edu Thu Dec 1 21:30:31 2022 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 01 Dec 2022 18:30:31 -0800 Subject: Connectionists: NEURAL COMPUTATION - December 1, 2022 In-Reply-To: Message-ID: NEURAL COMPUTATION - Volume 34, Number 12 - December 1, 2022 Now available for online download: http://www.mitpressjournals.org/toc/neco/36/12 http://cognet.mit.edu/content/neural-computation ----- Review Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation Nicolas Zucchet, Joao Sacramento Article Large-scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring Jason Maclean, Tarek Jabri Letters Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics Oren Forkosh Asymmetric Complexity in a Pupil Control Model With Laterally Imbalanced Neural Activity in the Locus Coeruleus: A Potential Biomarker "toc34.12" [New] 53L, 1551C written dale% cat toc34.12 NEURAL COMPUTATION - Volume 34, Number 12 - December 1, 2022 Now available for online download: http://www.mitpressjournals.org/toc/neco/36/12 http://cognet.mit.edu/content/neural-computation ----- Review Beyond Backpropagation: Bilevel Optimization Through Implicit Differentiation and Equilibrium Propagation Nicolas Zucchet, Joao Sacramento Article Large-scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring Jason Maclean, Tarek Jabri Letters Memoryless Optimality: Neurons Do Not Need Adaptation to Optimally Encode Stimuli With Arbitrarily Complex Statistics Oren Forkosh Asymmetric Complexity in a Pupil Control Model With Laterally Imbalanced Neural Activity in the Locus Coeruleus: A Potential Biomarker for Attention-deficit/Hyperactivity Disorder Sou Nobukawa, Hiraku Kumano, Aya Shirama, Tetsuya Takahashi, Toshinobu Takeda, Haruhisa Ohta, Mitsuru Kikuchi, Akira Iwanami, Nobumasa Kato, and Shigenobu Toda Bayesian Optimization for Cascade-type Multistage Processes Ichiro Takeuchi, Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, and Masayuki Karasuyama Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport Toshimitsu Aritake, Hideitsu Hino ----- ON-LINE -- http://www.mitpressjournals.org/neco MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ----- From EPNSugan at ntu.edu.sg Thu Dec 1 18:57:59 2022 From: EPNSugan at ntu.edu.sg (Ponnuthurai Nagaratnam Suganthan) Date: Thu, 1 Dec 2022 23:57:59 +0000 Subject: Connectionists: Postdoctoral Fellowship Opportunity in Health and Biomedical Engineering In-Reply-To: References: Message-ID: Postdoctoral Fellowship Opportunity in Health and Biomedical Engineering (2 years) Applications are called for a postdoctoral fellowship opportunity in the areas of machine/deep learning preferably with applications in areas of health and biomedical imaging, signal processing, etc. Applicant is expected to hold a PhD degree by March 2023 with strong high quality publication record in the relevant areas. Applicant is expected to prepare a detailed proposal (2-3 pages long) addressing the following: research domain, research questions, research methodologies, anticipated results, their impact, etc. Applicant should also attach a detailed CV with Google Scholar profile. The proposal will be evaluated by an expert panel of reviewers. For queries, please email Dr. P. N. Suganthan at p.n.suganthan at qu.edu.qa (Qatar University). Deadline: 20 Dec 2022. Google Scholar: https://scholar.google.com.sg/citations?hl=en&user=yZNzBU0AAAAJ&pagesize=100&view_op=list_works&sortby=pubdate ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: From massimiliano.pontil at gmail.com Fri Dec 2 04:35:53 2022 From: massimiliano.pontil at gmail.com (massimiliano.pontil at gmail.com) Date: Fri, 2 Dec 2022 10:35:53 +0100 Subject: Connectionists: Tenure-track position in Computational Neuroscience Message-ID: 1 Principal Investigator position in Computational Neuroscience at Istituto Italiano di Tecnologia. Deadline December 31, 2022. IIT welcomes applicants with an outstanding track-record in Computational Neuroscience. Appropriate research areas include computational and modelling approaches for understanding the function of the nervous system. Investigators with expertise in mathematics, physics, statistics, and machine learning for neuroscience are also encouraged to apply. The position can be either tenured or tenure-track, depending on seniority and expertise. If tenure-track, the position is for an initial period of 5 years with renewal depending on evaluation. We provide generous support for salary, start-up budget, and annual running costs. More information: https://tenure.iit.it/call/f62335be-4092-11ed-8f24-005056ac3938/details -------------- next part -------------- An HTML attachment was scrubbed... URL: From Andrej.Bicanski at newcastle.ac.uk Fri Dec 2 06:38:29 2022 From: Andrej.Bicanski at newcastle.ac.uk (Andrej Bicanski) Date: Fri, 2 Dec 2022 11:38:29 +0000 Subject: Connectionists: Fully funded PhD position - computational modelling of spatial coding - Newcastle+Durham UK Message-ID: Dear Colleagues, Please circulate this ad to any students that might be interested in a computational neuroscience PhD. This could be an interesting project for neuroscience/psychology graduates wanting to get into modelling. But students can also learn about the neuroscience on the project. A quantitative background is an asset. Topic: Modelling the staggered development and the decline with age of spatial coding in the mammalian brain + data analysis of single neuron recordings. Where: At Newcastle University, UK (with me), with a rotation in the lab of Prof. Colin Lever (Durham, UK) Funding: Fully funded for 4 years by the BBSRC. International and UK students can apply. Fees are covered! Deadline: 9th of January Link: https://t.co/SUXSTMHOOs For more info on the application process visit the BBSRC DTP website: https://www.nld-dtp.org.uk/how-apply Happy to receive informal inquiries prior to application. Best wishes, Andrej Dr Andrej Bicanski School of Psychology & Biosciences Institute Faculty of Medical Sciences Newcastle University www.andrejbicanski.com -------------- next part -------------- An HTML attachment was scrubbed... URL: From rbianchi at fei.edu.br Fri Dec 2 11:00:02 2022 From: rbianchi at fei.edu.br (Reinaldo A. C. Bianchi) Date: Fri, 2 Dec 2022 16:00:02 +0000 Subject: Connectionists: 2nd CfP - RoboCup 2023 Humanoid League Soccer Competition - Deadline in 10 days Message-ID: <6FDEEEED-38A5-4DDC-BD8E-06110126643A@fei.edu.br> * 2nd Call for Participation - Deadline in 10 days * RoboCup 2023 Humanoid Soccer Competition https://humanoid.robocup.org/ July 06 - 09, 2023, Bordeaux, France =========================================================== The RoboCup Humanoid League invites teams to apply for participation at the RoboCup 2023 Humanoid Soccer Competition and the Humanoid Research Demonstration in Bordeaux, France. The Humanoid League will host competitions in the following categories: * Humanoid Soccer Competition * KidSize: 40 - 100cm robot height (FIFA size 1 ball) * AdultSize: 130 - 200cm robot height (FIFA size 5 ball) * Humanoid Research Demonstration In addition, we may organize a Humanoid Open Competition with a CfP following later this year. For more detailed class definitions and more information about the humanoid league, please refer to the humanoid league home page at https://humanoid.robocup.org/ and join the humanoid league mailing list at: https://lists.robocup.org/listinfo/robocup-humanoid Teams are also encouraged to form and apply as joint teams. Joint proposals will be judged on their combined merit. Teams must provide the following qualification material: 1) Humanoid Soccer Competition ======================================= You do not need to provide a full robot team to apply for competing in the Humanoid Soccer Competition. The qualifying round of Drop-In games will be played with only one robot per team. Teams that cannot provide a full team of robots (four robots in KidSize and two in AdultSize) will be grouped to form a playable team for the main tournament games. In case of a sufficient number of qualified teams, the sub-leagues (KidSize and/or AdultSize) will be divided into League A and League B. Teams are seeded into the leagues based on the results of an initial round of Drop-In games. Each application to the Humanoid Soccer Competition will be reviewed by two members of the Technical Committee and two other teams applying to the Humanoid Soccer Competition. The combined reviewing score will decide whether a team qualifies for participation. Reviewing other team's material is mandatory for teams that want to participate in the Humanoid Soccer Competition. Failing to provide an adequate review by the provided deadline will have consequences for the teams own qualification status. 1.1) Robot Video --------------------------------------- Teams need to provide a video of their robot demonstrating the robots' autonomous soccer playing skills. The recommended skills needed for qualification are: * localization of unknown ball position, * walking ability towards the ball, * robot positioning at the ball for kicking, * kicking the ball towards the goal, * ability of getting up autonomously from a fall (KidSize only) We encourage teams to include in the video more complex and intelligent behavior such as demonstrating localization, and robots playing in a game, recordings from actual soccer matches are admissible. If possible, please provide footage that demonstrates the robot behavior without wires attached. The qualification video must be supplied as a link via YouTube. The maximum duration of the video must not exceed 5 minutes. The qualifying team is responsible to ensure that the video adheres to YouTube's TOS (especially in regard to music copyright) to prevent the video from being blocked for the reviewers. Teams that do not provide a qualification video or a viewable video will not be qualified! 1.2) Software Description --------------------------------------- During the registration process, a form will be provided to submit details about the algorithms used or anticipated to be used for the participation in the 2023 competition. Algorithms shall be described in such detail that they can be reproduced by other teams. If software from other teams or standard algorithms are used, references need to be included. If the algorithm has been adapted to be used in the competition, those deviations need to be described in appropriate details. The form will include questions in the following areas: * Walking * Vision * Localization * Team Communication * Behavior * Contributions to the RoboCup community, e.g. software releases, paper publications, provision of league infrastructure or data sets Responses to the questions are expected to reflect the current or anticipated status of the software during the RoboCup 2023 competition. If the software has not changed or no changes are anticipated to be made until the competition, teams may copy & paste a response from previously submitted material. 1.3) Extended Abstract --------------------------------------- A two-page extended abstract must be submitted. For teams which have previously participated in the Humanoid League, the extended abstract needs to: * include lessons learned from the participation in previous RoboCup competitions * highlight major problems that the team is trying to solve for the upcoming competition * outline the plans for the major changes that the teams anticipate to have implemented by the RoboCup 2023 competition * describe the implementation status of the changes planned by the time of submitting the application For teams which have never participated in the RoboCup Humanoid League, the Extended Abstract needs to pitch the scientific aspects of their humanoid robotic system and highlight their research interests. The Extended Abstract is limited to 2 pages maximum and must be submitted in PDF format. Extended Abstracts are designed to highlight the changes and scientific developments since the last RoboCup. Thus, we expect the usage of material from previous TDPs or Extended Abstracts to be minimal. If used, they need to be cited appropriately. Submissions of last year's Extended Abstract will be desk-rejected. The Extended Abstract must follow the LNCS format which can be downloaded from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Teams that do to follow the LNCS formatting and style guidelines will not be qualified. No exceptions to this rule will be made. 1.4) Robot Specification --------------------------------------- Regardless of the kid or adult size competition, a one-page specification (PDF) must be provided for each different type of humanoid robot used by the team that includes the following: * Robot picture * Robot name * Height of the robot * Weight of the robot * Walking speed in cm/s * Number of degrees of freedom and type of motors on each kinematic chain of the robot * Type of sensors used (incl. type of camera(s) and specific manufacturer part number (e.g. ?6-DoF IMU? is NOT an acceptable description)) * Computing unit(s) * Materials (e.g. Torso aluminum, legs and arms CFRP) * Electronics (e.g. CM730 for communicating with servos) * Battery (e.g. 3S1P 2200mAh LiPo) * Open Source link if applicable * Other specs 1.5) Rules --------------------------------------- The current version of the rules may be found here at the Humanoid League website: https://humanoid.robocup.org/materials/rules/. We expect the final version of the 2023 rules to be published in early spring 2023. 1.6) Registration --------------------------------------- The following information is required for registration: * Team name * URL of the team's home page * Name of team leader or team contact person * E-mail address of team leader or contact person * Postal address of the team, team leader or contact person * Competition category: Humanoid Soccer Competition KidSize or AdultSize Please note that teams applying for participation in several categories must submit individual application material for each class, and pay the appropriate registration fee for each category. At least one team member must register on each team. Furthermore, teams in different categories must be able to compete, and guarantee to have members acting as referees available independently and at the same time. 1.7) Letter of Commitment --------------------------------------- Regardless of the specific competition, a one-page letter addressed to the RoboCup Humanoid League Technical Committee including the following: * a statement committing to participate in the RoboCup 2023 Humanoid League competition, * a statement committing to make a person with sufficient knowledge of the rules available as referee during the competition. The letter must be printed, hand signed by the team leader, digitally scanned and submitted either as a JPG, PNG or PDF file. If the letter does not contain a hand-written signature, it is not considered valid. The TC may include the fulfillment of the statement of commitment of participation as well as the performance of the team's referee in previous RoboCup competitions into consideration for qualification. 2. Humanoid Research Demonstration (HRD) ======================================= The RoboCup Humanoid League invites the research community to apply for showcasing the latest research and development results that are relevant for humanoid robots. Researchers are invited to submit their demonstrations independently of whether they participate in the RoboCup competitions, symposium or have a RoboCup team. Contributions will be evaluated for scientific and technical excellence. 2.1. Topics of Interest --------------------------------------- We welcome demonstrations containing new ideas, concepts, practical studies, and experiment demonstrations relevant to the field of Humanoid Robotics. Topics of interest include, but are not limited to: * Components, joints and mechanics; * Soft robotics; * Anthropomorphic vs. non-anthropomorphic; * Walking, running, jumping and other humanoid locomotion; * Adaptability and scalability; * Sensors and perception; * Control and stability; * Dealing with falling; * Reflexes and learning; * Energy supply and efficiency; * Robot design and robotic kits; * Virtual robots and simulation; * Benchmarking; * Bipedal robots applied to real problems; * Education with and for humanoid robots. 2.2. Procedure --------------------------------------- The Humanoid Research Demonstration will take place in one or several sessions and participating teams are asked to show a demonstration of the system live in Bordeaux or stream their demonstration from their lab during the session. As a back-up solution, each team needs to provide a video demonstration prior to the beginning of the tournament. If the demonstration is performed in Bordeaux, the Humanoid League will provide a humanoid league soccer playing field for the demonstration. However, the members of the Technical Committee of the Humanoid League understand that for some demonstrations this setup may not be ideal and will try to accommodate all teams. If a team requires other arrangements for the demonstration, it must submit a request to the Technical Committee at least 3 months before the competition to allow sufficient time for alternative arrangements. 2.3. Application --------------------------------------- We invite teams to apply to participate in the Humanoid Research Demonstration by submitting the following material: 2.3.1. Demonstration Data * Demonstration title; * URL of the group?s home page; * Name of the contact person; * E-mail address of the contact person; * Postal address of the contact person. 2.3.2. Demonstration Video The first part of the material is a video of your robot or robotic part demonstrating its skills or a brief overview of the software demonstration if your demonstration does not involve a physical embodiment. The video must be supplied as a link to it via YouTube. The maximum duration of the video is 3 minutes. The proponent is responsible to ensure that the video adheres to YouTube?s TOS (especially in regard to music copyright) to prevent the video from being blocked for the reviewers. 2.3.3. Hardware Specification If the demonstration includes any type of hardware to be showcased, a one-page specification (PDF) for each different type of humanoid type robot/mechanism used that includes the following: * Robot/mechanism picture; * Robot/mechanism name; * Size of the humanoid type robot/mechanism; * Weight of the robot/mechanism; * Robots/mechanisms joint specification; * Type of sensors used (incl. type of camera(s)); * Computing unit(s); * Other specifications 2.3.4. Short paper A short paper describing the robot, robot part of software and its task and required environment, limited to four (4) pages including text, references, tables, and figures. The short paper must follow the LNCS format which can be downloaded from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0. Please pay special attention to the ?Author guidelines? that you?ll be able to find there. 3) Plagiarism ======================================= Plagiarism, loosely the unattributed use of other peoples' words, code, and ideas is not tolerated in the RoboCup community. See the point ?Publishing Ethics? at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines for a more detailed description. The teams and team members that plagiarize other peoples' work and present it as their own will be disqualified. For a first offense, the team and team members will be banned from RoboCup competition for two years (usually the current and next year). Harsher penalties will be applied to repeat offenders or extremely serious cases of plagiarism. A team may be disqualified at any time for plagiarism, even after the competition has started. RoboCup will not reimburse teams for any expenses related to their disqualification. 4) Online Submission ======================================= All qualification material must be submitted online at https://submission.robocuphumanoid.com 5) Important Dates ======================================= Humanoid Soccer Competition * Submission system open: November 20th, 2022 * Submission deadline: December 11th, 2022 * Team Review Period: December 12th - December 23rd * Announcement of qualified teams: January 23rd, 2023 Humanoid Research Demonstration * Submission system open: November 20th, 2022 * Submission deadline: April 2nd, 2023 6) Publication ======================================= Please note that after the announcement of the qualified teams the qualified teams submitted material will be made publicly available on the Humanoid League website. Teams applying for participation, therefore, implicitly grant the right of publication of their qualification material to the Humanoid League. 7) Visa Process ======================================= If you are a citizen of a country that needs a Visa for traveling to France, please start the VISA process as soon as you receive your notification of qualification. If you are not sure if you're eligible for a VISA-exempt, please consult the official website of the France government for information, at https://france-visas.gouv.fr/en/web/france-visas/welcome-page. With best regards, Technical Committee of RoboCup Humanoid League 2022 Esta mensagem, juntamente com qualquer outra informa??o anexada, ? confidencial e protegida por lei. Somente os seus destinat?rios est?o autorizados a us?-la. Se voc? n?o for o destinat?rio, por favor, informe o remetente e, em seguida, apague a mensagem, observando que n?o h? autoriza??o para usar, copiar, armazenar, encaminhar, imprimir ou tomar qualquer a??o baseada no seu conte?do. -------------- next part -------------- An HTML attachment was scrubbed... URL: From triesch at fias.uni-frankfurt.de Sun Dec 4 05:10:56 2022 From: triesch at fias.uni-frankfurt.de (Jochen Triesch) Date: Sun, 4 Dec 2022 11:10:56 +0100 Subject: Connectionists: Karen E. Adolph speaking on December 8 in Developing Minds global online lecture series Message-ID: <5B2336E5-8A00-4FB3-8C27-984773C3AF1E@fias.uni-frankfurt.de> Dear colleagues, On December 8, the Developing Minds global online lecture series will feature Karen E. Adolph from NYU: "Development of intelligent behavior: Lessons from Infants?? The live event will take place via zoom at: 09:00 am EST (Eastern Standard Time) 14:00 UTC (Universal Coordinated Time) 15:00 CET (Central European Time) 23:00 JST (Japan Standard Time) To participate please register here: https://sites.google.com/view/developing-minds-series/home Abstract: The average 18-month-old toddler can run circles around the world?s most sophisticated robots. Why is that? Because real intelligence is not about computational power. It is about flexible, adaptive, generative behavior in a changing body with changing skills in a changing world. Here, I offer several lessons about the development of intelligent behavior?and how to study it?that might prove useful for researchers in developmental science, psychology, cognitive science, robotics, and artificial intelligence. I conclude with a proposal to use video as data, demonstration, and documentation and a plea to share videos to increase scientific transparency, ensure reproducibility, and speed progress in understanding behavior, intelligence, and their development. Bio: KAREN E. ADOLPH is the Julius Silver Professor of Psychology and Neural Science, and Professor of Applied Psychology at New York University. She uses observable motor behaviors and a variety of technologies (video, motion tracking, instrumented floor, head-mounted eye tracking, EEG, etc.) to study developmental processes. Adolph directs the Databrary video library and the PLAY project, and she developed and maintains the Datavyu video-coding tool.She is a Fellow of the American Psychological Association and Association for Psychological Science and Past-President of the International Congress on Infant Studies. She received the Kurt Koffka Medal for ?worldwide outstanding work on infants? perception/action development,? a Cattell Sabbatical Award, the APF Fantz Memorial Award, the APA Boyd McCandless Award, the ICIS Young Investigator Award, FIRST and MERIT awards from NICHD, and five teaching awards from NYU. She has published 190+ articles and chapters. Her research on perceptual-motor learning and development has been continually funded by NIH since 1991. The talk will also be recored and the recording made available via the web page: 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 david at irdta.eu Sat Dec 3 09:35:16 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 3 Dec 2022 15:35:16 +0100 (CET) Subject: Connectionists: DeepLearn 2023 Winter: early registration December 18 Message-ID: <335626542.524295.1670078116575@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: December 18, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Winter 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 and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, 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 21 four-hour and a half courses and 3 keynote lectures, 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 recruitment 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 Winter 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 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus STRUCTURE: 3 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Sumit Chopra (New York University), [intermediate] Deep Learning in Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Genova), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Richa Singh (Indian Institute of Technology Jodhpur), [introductory/intermediate] Trusted AI Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis 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 January 8, 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 January 8, 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 company 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 January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/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. 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://irdta.eu/deeplearn/2023wi/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: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From schapire at microsoft.com Fri Dec 2 13:08:00 2022 From: schapire at microsoft.com (Robert Schapire) Date: Fri, 2 Dec 2022 18:08:00 +0000 Subject: Connectionists: multiple postdoc positions at Microsoft Research NYC in ML and RL Message-ID: Microsoft Research New York City (MSR NYC) is seeking outstanding applicants for multiple postdoctoral researcher positions in machine learning (ML) and AI, especially in the following focus areas: theoretical ML, interactive ML (including reinforcement learning and active learning), and natural language processing (including grounded language understanding and applications of RL to NLP). These are two-year positions, starting in July 2023. For full consideration, all application materials should be submitted by December 9, 2022. Full details at: https://careers.microsoft.com/us/en/job/1490509/ As a postdoctoral researcher, you will have the opportunity to pursue your own research agenda while interacting with our group's diverse array of researchers and practictioners, and contributing to ongoing research projects. We collaborate extensively with groups at other MSR locations and across Microsoft. Postdoc researchers receive a competitive salary and benefits, and are eligible for relocation benefits. Microsoft Research offers an exhilarating and supportive environment for cutting-edge, multidisciplinary research, both theoretical and empirical, with access to an extraordinary diversity of data sources, an open publications policy, and close links to top academic institutions around the world. We are seeking candidates in the general area of machine learning, especially those with a demonstrated interest in the following focus areas: theoretical machine learning, interactive machine learning (including theoretical, applied, and empirical reinforcement learning and active learning), and natural language processing (including grounded language understanding and applications of RL to NLP). Applicants should have a well-established research track record, evidenced by conference or journal publications (or equivalent pieces of writing) and broader contributions to the research community. Applicants must have fulfilled their PhD degree requirements, including submission of their dissertation, prior to joining MSR NYC. We encourage candidates with tenure-track academic job offers to apply (with the option of doing a one-year rather than two-year postdoc), provided they are able to defer their start date by at least one year to accept our position. To be assured of full consideration, all application materials, including reference letters, need to be received by December 9, 2022. Applications received after that date may or may not be considered. Details on qualifications, how to apply, etc. can be found at: https://careers.microsoft.com/us/en/job/1490509/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From francisco.pereira at gmail.com Sun Dec 4 21:44:51 2022 From: francisco.pereira at gmail.com (Francisco Pereira) Date: Sun, 4 Dec 2022 21:44:51 -0500 Subject: Connectionists: position: machine learning research scientist at NIMH Message-ID: ### HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the leading federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). A copy of this ad may be found at https://nih-fmrif.github.io/ml/index.html ### About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. Our overarching goal is to use machine learning to improve every aspect of the scientific effort, from helping discover or develop theories to generating actionable results. We work with many different data types, e.g. very large brain imaging datasets in various imaging modalities, neural recordings, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of high-end GPUs for deep learning, several large servers) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and recent publications at https://cmn.nimh.nih.gov/mlt ### About the position This position requires experience in the use of deep learning in the context of substantial research projects, ideally having led to publications (or preprints). As our team works on both applications and method development, here are some examples of projects we have carried out or are presently engaged in: - Bayesian deep neural networks for brain segmentation with uncertainty - convolutional neural networks on structural or functional brain MRI for decoding information or person characteristics - a comparison of approaches for generating gradient-based saliency maps for neural networks in brain imaging data - a method for distributed training and consolidation of Bayesian deep neural networks - modifications of neural network models of vision to test hypotheses about visual representations in the brain - transformer models for predicting fine-grained content labels in text transcripts from therapy sessions - improving transfer learning in neuroimaging - fine-tuning of large language models for emulation of participants in psychology experiments Please emphasize this aspect of your experience in your application. In general, we are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Other desirable experience includes: - mathematical optimization (e.g. convex, linear programming, integer programming) - statistical inference (e.g. generalized linear models, mixed effect models, state space models, survival analysis) - reinforcement learning - Bayesian statistical modelling - other types of modelling of human/animal learning and decision-making - neuroimaging data processing/ analysis (any MRI modality, MEG, or EEG) - modelling of other types of neural data (e.g. neural recordings, calcium imaging) Finally, you should have demonstrable experience programming in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. Backgrounds of team members include computer science, statistics, mathematics, and biomedical engineering. This is an ideal position for someone who wants to establish a research career in methods development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests or community impact. If you would like to be considered for this position, please send francisco.pereira at nih.gov a CV, with your email serving as a cover letter. We especially encourage applications from members of underrepresented groups in the machine learning research community. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest! -------------- next part -------------- An HTML attachment was scrubbed... URL: From boris.gutkin at gmail.com Mon Dec 5 04:49:30 2022 From: boris.gutkin at gmail.com (Boris Gutkin) Date: Mon, 5 Dec 2022 10:49:30 +0100 Subject: Connectionists: ERASMUS+ iBRAIN Trends in Visual Cognition Workshop Message-ID: *RECENT TRENDS IN VISUAL COGNITION,* an iBRAIN ERASMUS+ CBHE Workshop. Dec 8 Please register to join online through zoom: https://us06web.zoom.us/meeting/register/tZYuc-mvqjgjG9aud7Umg-XYRLR8PDRHPGJh Program: 11:00-11:15 Welcome 11:15-12:00 Peter Neri .ENS: Human sensory adaptation to the ecological structure of environmental statistics 12:00-12:45 J. Kevin O' Regan ,U Paris: The visual world as an outside memory and implications for consciousness Lunch 14:00-14:45 Ramesh Kumar Mishra, U Hyderabad: TBA 14:45-15:15 Coffee break 15:15- 16:00 Jerome Sakur, ENS: Can phenomenal consciousness be measured in terms of informational overflow? A plea for dimensionality in perceptual consciousness Organizers Dr. Boris Gutkin ?cole normale sup?rieure, France Prof. Ramesh Mishra Head, Centre for Neural and Cognitive Sciences (CNCS), University of Hyderabad, India This workshop is supported by ERASMUS+ IBrain CBHE Project -------------- next part -------------- An HTML attachment was scrubbed... URL: From karl.o.mikalsen at uit.no Mon Dec 5 06:38:36 2022 From: karl.o.mikalsen at uit.no (=?Windows-1252?Q?Karl_=D8yvind_Mikalsen?=) Date: Mon, 5 Dec 2022 11:38:36 +0000 Subject: Connectionists: Data scientist / ML engineer, University Hospital of North-Norway In-Reply-To: References: Message-ID: Data scientist / ML engineer ? ML for health, The Norwegian Centre for Clinical Artificial Intelligence (SPKI), University Hospital of North-Norway SPKI is expanding, and is in search of a highly motivated data scientist / ML engineer who wants to contribute to the development and implementation of new artificial intelligence (AI) tools for health. The work will be done in a highly interdisciplinary environment, and you will collaborate with a team consisting of clinicians, scientists from the university and technologists, legal experts, industry partners, as well as personnel responsible for ICT, data security, privacy concerns and more. This environment also includes researchers at The Machine Learning Group and Visual Intelligence . For details, please see: https://www.finn.no/job/fulltime/ad.html?finnkode=283131608 Please contact Karl ?yvind Mikalsen karl.o.mikalsen at uit.no for more info. -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Mon Dec 5 10:11:25 2022 From: interdonatos at gmail.com (Roberto Interdonato) Date: Mon, 5 Dec 2022 16:11:25 +0100 Subject: Connectionists: CfP FRCCS 2023 - Third French Regional Conference on Complex Systems, May 31 Le Havre, France, June 02, 2023 Message-ID: *Third F*rench* R*egional* C*onference on* C*omplex* S*ystems May 31 ? June 02, 2023 Le Havre, France *FRCCS 2023* You are cordially invited to submit your contribution until *February 22, 2023.* *FRCCS 2023 (F*rench *R*egional* C*onference on *C*omplex *S*ystems 2023) is the Third edition of the French Regional Conference on Complex Systems. It promotes interdisciplinary exchanges between regional researchers from various scientific disciplines and backgrounds (sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science). FRCCS 2023 is an opportunity to exchange and promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the complexity science perspective. *Keynote Speakers* Luca Maria Aiello ITU Copenhagen Denmark Ginestra Bianconi Queen Mary University UK V?ctor M. Egu?luz University of the Balearic Islands Spain Adriana Iamnitchi Maastricht University Netherlands Rosario N. Mantegna Palermo University Italy C?line Rozenblat University of Lausanne Switzerland *Submission Guidelines* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full paper* about *original research* ? *Extended Abstract* about published or unpublished research. It is recommended to be between 3-4 pages. They should not exceed four pages. o Submissions must follow the Springer publication format available in the journal Applied Network Science in the Instructions for Authors' instructions entry. o All contributions should be submitted in *pdf format* via *EasyChair .* *Publication* *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, edited by Springer o Complexity, edited by Hindawi *Topics include, but are not limited to: * ? *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior, and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * o Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Cyrille Bertelle LITIS, Normastic, Le Havre Roberto Interdonato CIRAD, UMR TETIS, Montpellier -------------- next part -------------- An HTML attachment was scrubbed... URL: From Donald.Adjeroh at mail.wvu.edu Tue Dec 6 01:53:08 2022 From: Donald.Adjeroh at mail.wvu.edu (Donald Adjeroh) Date: Tue, 6 Dec 2022 06:53:08 +0000 Subject: Connectionists: IEEE BIBM-LncRNA'22 -- about to start, See our array of speakers !! In-Reply-To: References: , , , , Message-ID: Apologies if you receive multiple copies ... --------------------------------------------------------------------------------------------------- The 2022 IEEE BIBM LncRNA Workshop will be held this Wednesday, Dec. 7, 2022. You can access the workshop program directly at: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/WorkshopProgram_LncRNA2022.pdf You can also check the workshop webpage at: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ The IEEE BIBM'22 conference itself starts Tuesday, Dec. 6, 2022 -- in a few hours. Please see the conference website for the BIBM schedule. https://ieeebibm.org/BIBM2022/ If you registered for the conference and are interested in the LncRNA Workshop, you can email me with your interest, or any questions. Even if you did not register, but are interested in BIBM-LncRNA Workshop series, you can still contact us. Though the BIBM is face-to-face, you can also participate remotely. The zoom link for remote participation was sent out earlier by IEEE BIBM to registered participants. If you did not get that, or have questions on accessing the online conference or workshop programming, please let us know. ---------------------------------------------------------------------------------------------------- Highlights: We have an exciting array of speakers for the workshop -- both In-Person presenters in Las Vegas, USA, and online/remote presenters !! 1 Keynote: * Igor Ulitsky, PhD, Weizmann Institute of Science, Israel (online) 1 Plenary Talk: * George A Calin, MD, PhD, MD Anderson Cancer Center, Houston, TX, USA (online) 2 Invited Speakers: * David Henderix, PhD, Oregon State University, Oregon, USA (in-person) * Ivan Martinez, PhD, West Virginia University, Morgantown, WV, USA (in-person) One "round-table" panel of experts in the field Presentation of accepted papers Limited Travel Fellowships still available !! See our website: BIBM- LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ More details below .... The IEEE BIBM 2022 Workshop on Long Non-Coding RNAs: Mechanism, Function, and Computational Analysis (BIBM-LncRNA) will be held in conjunction with the 2022 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021), Dec. 6 - 9, 2022. The LncRNA workshop will be held in a mixed mode -- both virtual/remote and face-to-face in Las Vegas, Nevada, USA. BIBM-LncRNA'2022 will be held on Dec 7, 2022. Please see the website for the program schedule and speakers: BIBM-LncRNA'2022: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ IEEE BIBM 2022: https://ieeebibm.org/BIBM2022/ Journal Special Issue: Pending final approval by the journal, authors of selected submissions will be invited to extend their papers for submission for review and possible publication in a special issue of the journal -- Non-Coding RNA. https://www.mdpi.com/journal/ncrna Important Dates: Nov. 28, 2022: Deadline for Workshop Fellowship application Dec 6-9, 2022: IEEE BIBM conference and workshops Dec: 7, BIBM-LncRNA Workshop BIBM-LncRNA'22 Workshop home page: https://community.wvu.edu/~daadjeroh/workshops/LNCRNA2022/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Tue Dec 6 04:11:42 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 6 Dec 2022 11:11:42 +0200 Subject: Connectionists: Live e-Lecture by Prof. Ioannis Pitas: "Social Impact of AI Science and Engineering: Information Filtering and Disinformation", Thursday 8th December 2022, 17:00-18:00 CET (8:00-9:00 PST), (10:00-11:00 CST) References: <174d01d8f2af$d2511f40$76f35dc0$@csd.auth.gr> <003d01d904d4$863701b0$92a50510$@csd.auth.gr> <07e901d90590$df607390$9e215ab0$@csd.auth.gr> <007701d90593$5cd0f5f0$1672e1d0$@csd.auth.gr> Message-ID: <111e01d90952$c1f92840$45eb78c0$@csd.auth.gr> Dear AI enthusiast/scientist/engineer/student, Prof. Ioannis Pitas, a prominent AI researcher internationally (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, chair of the International AI Doctoral Academy), will deliver the e-lecture: "Social Impact of AI Science and Engineering: Information Filtering and Disinformation", Thursday 8th December 2022, 17:00-18:00 CET (8:00-9:00 PST), (10:00-11:00 CST) You can join for free without registration using the zoom link: https://authgr.zoom.us/j/94255772113 Passcode: 867064 Attendance is free. Abstract: Our world is increasingly complex, in terms of both its material components (e.g., smart cities, infrastructure) and its social processes (e.g., social media outreach). Both individual humans and entire societies find it difficult to cope with world complexity. For example, humans that are overexposed to a 24/7 information deluge through their mobile phones tend to develop the so-called Generalized OnLine Affect and Cognition (GOLAC) disorder. Its impact has not been studied sufficiently well. It can be devastating to minors and vulnerable people. It forms a good substate for conspiracy theories and disinformation. Artificial Intelligence (AI) in general, and Machine Learning in particular, is our reply to world complexity. It allows us to handle a data flood, analyze data to produce information and use it not only to survive, but also to excel. AI Science and Engineering enable social engineering, allowing us to devise social processes that change our society. Information filtering is a prime example of social engineering. It encompasses many social processes: a) web search, b) recommendation systems for online product and service marketing, b) online match-making and c) news editing and broadcasting. Though they can have a very positive societal impact, they can also have adverse effects, if poorly implemented. For example, they can result in massive private data theft and use to fuel corporate profits. Lack of information filtering can look like a heaven for freedom of speech. Yet the opposite frequently happens in social media environments. Irrationalism, cult culture, anti-intellectualism and anti-elitism pre-existed social media. However, social media have unique characteristics (small world phenomenon, rich-get-richer phenomenon, GOLAC disorder) that boost such tendencies and fuel disinformation. Sentimental and conspiratorial speech propagates like wildfire. Why? Social media company policies favor such voices as they ensure user engagement (and their profits through marketing). The end result is that minority voices highjack the web and disinformation flourishes. AI does provide tools, e.g., for deep fake news creation, that can be misused to fuel disinformation and threaten democratic societies. What is the way forward to defend democracy? This lecture addresses several important questions on the interface between technology and society: * Why our world becomes ever more complex? * Can we cope with world complexity? * What is the relation between freedom of speech and information filtering? * What is the psychological background of on-line cults and conspiracy theories? * Why negative views propagate faster? * What is the relation of irrationalism, and anti-elitism, to social media disinformation? * How can we valorize our private data? All the above issues are addressed in the new 1050+ page book "Artificial Intelligence Science and Society" consisting of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner: 1. "Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology" https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 2. "Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans" https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860 3. "Artificial Intelligence Science and Society Part C: AI Science and Society" https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860 4. "Artificial Intelligence Science and Society Part D: AI Science and the Environment" https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860 About the Lecturer: This lecture and book are 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). This lecture is part of the SIG Icarus "AI days" lectures offered by the AIIA Computer Vision and Machine Learning ( AIIA.CVML) R&D group of the Artificial Intelligence and Information Analysis ( AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From vito.trianni at istc.cnr.it Tue Dec 6 10:35:16 2022 From: vito.trianni at istc.cnr.it (Vito Trianni) Date: Tue, 6 Dec 2022 16:35:16 +0100 Subject: Connectionists: [jobs] Two open positions in collective intelligence, knowledge engineering and machine learning - ISTC-CNR, Rome, Italy Message-ID: <199F9B32-128F-4DC3-806F-BD20047428AB@istc.cnr.it> Two two-years Research Assistant positions are available at the Institute of Cognitive Sciences and Technologies, Italian National Research Council, starting as early as February 2023. DEADLINE FOR APPLICATION: DECEMBER THE 19TH, 2022 The selected candidates will have the opportunity to work on the research track of HACID (http://hacid-project.eu/), which is an is an HORIZON Innovation Action, a collaborative project funded under the Horizon Europe Programme, within the topic "AI, Data and Robotics at work". HACID develops a novel hybrid collective intelligence for decision support to professionals facing complex open-ended problems, promoting engagement, fairness and trust. The focus of these fellowships is design and development of knowledge graphs and collective intelligence methods in the context of two application domains: medical diagnostics and decision support for climate change adaptation policies. --------------------------------------------------------------------------------------------------------------- KNOWLEDGE ENGINEERING AND MACHINE LEARNING --------------------------------------------------------------------------------------------------------------- The first position concerns the study and development of methods and techniques for knowledge extraction aimed at the creation of ontologies and semantic knowledge graphs to represent and manage data of a heterogeneous nature, incorporating a vast amount of scientific and grey literature. The resulting ontologies and semantic knowledge graphs must enable an ecosystem of services aimed at supporting collective intelligence in the climate service domain. Requirements: - Experience in ontology modelling and usage of semantic web technologies; - Knowledge of machine learning and natural language processing techniques; - Experience in the use of the required programming languages: Python and/or Java Notice of selection: https://istc.cnr.it/sites/default/files/vacancies/bandi/notice_of_selection_n.istc-adr-336-2022-rm.docx Website: https://istc.cnr.it/en/content/assegno-di-ricerca-3362022-metodi-e-soluzioni-di-ingegneria-della-conoscenza-e-machine --------------------------------------------------------------------------------------------------------------- METHODS FOR COLLECTIVE INTELLIGENCE --------------------------------------------------------------------------------------------------------------- The second position concerns the development of methods for the elicitation of knowledge and the aggregation of the opinions of expert users in the face of complex problems in both application domains: medical diagnostics and decision support for climate change adaptation policies. The collective solution to the study case must be obtained through suitable algorithms for aggregating opinions, thanks also to the support of domain knowledge formalised in a semantic knowledge graph. In particular, experimental studies with different treatments will have to be designed to verify under which conditions collective intelligence is achieved. Requirements: - Experience in network science and/or usage of semantic web technologies; - Experience in the design, execution and analysis of behavioural experiments; - Experience in the use of the required programming languages: Python and/or Java; Notice of selection: https://istc.cnr.it/sites/default/files/vacancies/bandi/notice_of_selection_n.istc-adr-337-2022-rm.docx Website: https://istc.cnr.it/en/content/assegno-di-ricerca-3372022-studio-sperimentale-di-metodi-di-aggregazione-delle-opinioni-di ------------------------------------- HOW TO APPLY ------------------------------------- Applications must be sent via email. Italian applicants must submit their applications through a certified email (Posta Elettronica Certificata ? PEC) to the address protocollo.istc at pec.cnr.it Foreign applicants must submit their applications through standard email to the address protocollo.roma at istc.cnr.it For all details about the application process, please check the notice of selection. ------------------------------------- WHO WE ARE ------------------------------------- The Institute for Cognitive Sciences and Technologies (ISTC) is an interdisciplinary institute, featuring integration among laboratories and across research topics. ISTC laboratories share objectives aimed at the analysis, representation, simulation, interpretation and design of cognitive and social processes in humans, animals and machines, spanning the physiological, phenomenological, and computational worlds. ======================================================================== 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 dayan at tue.mpg.de Wed Dec 7 00:39:45 2022 From: dayan at tue.mpg.de (Peter Dayan) Date: Wed, 7 Dec 2022 06:39:45 +0100 Subject: Connectionists: Postdoc on Brain network mechanisms underlying spatial cognition Message-ID: <20221207053945.q5nvgwdc5ewh6dbu@tuebingen.mpg.de> Postdoc position (m/w/d): Brain network mechanisms underlying spatial cognition A postdoc position is available at the Department of Computational Neuroscience at the Max Planck Institute for Biological Cybernetics to work with Dr. Oxana Eschenko on brain network mechanisms underlying spatial cognition. This project is a follow up study (Yang; https://www.jneurosci.org/content/jneuro/39/3/434.full.pdf; Mei; http://learnmem.cshlp.org/content/25/3/129) aiming at understanding the role of two thalamic nuclei ? the nucleus reuniens and mediodorsal nucleus - within a large-scale brain network underlying spatial cognition. The involvement of both thalamic nuclei in spatial cognition can be inferred from anatomical connectivity and neuropharmacology, while neurophysiological mechanisms of the spatial network dynamics remain poorly understood. We hypothesize that a functional coupling exists between the associative thalamic nuclei, the hippocampus, and the prefrontal cortex and that this coupling enables successful spatial navigation and retrieval of spatial memory. To test this hypothesis, we recorded multi-site neural activity while rats learned a complex maze task, and plan to relate model-agnostic and model-dependent behavioral variables reflecting learning and decision-making to aspects of the extracellular neural signals, including spectral decomposition, coherence, cross-frequency and phase-amplitude analysis. Candidates should have strong computational and data science skills and proven experience in the analysis of behavior and neural signals. Proficiency in English is essential. The position is available from March 1, 2023 and will be for one year in the first instance, subject to a probationary period. An extension may be possible depending on performance. Remuneration is based on qualifications and professional experience in accordance with the collective agreement for the public service (TV?D Bund) plus various social benefits and additional pension provision. The Max Planck Society is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented. The Max Planck Society strives for gender and diversity equality. We welcome applications from all backgrounds. Please contact Dr. Eschenko (e-mail: oxana.eschenko at tue.mpg.de) with any enquiries. Application deadline is January 31, 2023. Please upload your application documents electronically to our job portal by Jan 31, 2023 using the following link: https://jobs.tue.mpg.de/jobs/191 -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/x-pkcs7-signature Size: 4936 bytes Desc: not available URL: From a.villavicencio at sheffield.ac.uk Wed Dec 7 04:42:38 2022 From: a.villavicencio at sheffield.ac.uk (Aline Villavicencio) Date: Wed, 7 Dec 2022 09:42:38 +0000 Subject: Connectionists: Dec 7 deadline: Research Associate (post-doc) in Machine Learning for Natural Language Processing @ The University of Sheffield Message-ID: Dear all, We are hiring a Research Associate (post-doc) to work on one of our NLP projects at the University of Sheffield. The successful candidate will be expected to lead the design and development of strategies for more transparent machine learning models to generate accurate cross-lingual representations for idiomatic language, as well as to contribute to the design and development of resources and evaluation of downstream tasks, like machine translation. For both lines of research, you will build on state-of-the-art approaches based on deep learning. The applicants should hold a PhD (or be close to completion) or have equivalent work experience and a strong publication record. Solid knowledge of Machine Learning models applied to Natural Language Processing and Deep Learning is required, as is excellent programming skills in Python and deep learning frameworks (esp. Keras, TensorFlow or PyTorch). Previous experience developing word embedding models and/or Machine Translation is also desirable. Deadline for applications: December 07, 2022 More details, including how to apply can be found in the following link: bit.ly/3gnGP4l Kind regards, Aline ---------------------------------------------------- Prof. Aline Villavicencio Chair in Natural Language Processing Department of Computer Science, University of Sheffield https://sites.google.com/view/alinev https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at incf.org Wed Dec 7 07:25:15 2022 From: info at incf.org (INCF) Date: Wed, 7 Dec 2022 13:25:15 +0100 Subject: Connectionists: Call for community review: The Essential Metadata for 3D BRAIN Microscopy metadata standards (3D-MMS) Message-ID: *INCF seeks community feedback on the 3D Microscopy Metadata Standard (3D-MMS)* Recent advances in fluorescence microscopy techniques and tissue clearing, labeling, and staining provide unprecedented opportunities to investigate brain structure and function, and to catalog brain cell types and define their location, morphology, and connectivity in a native context. It is essential to establish and adopt standards for annotating, reporting, and formatting imaging datasets so that other researchers can understand, reuse, and integrate microscopy data. The Essential Metadata for 3D BRAIN Microscopy metadata standards (3D-MMS) were built on existing efforts and developed with input from the brain microscopy community to promote adoption. The metadata standards include 91 fields organized into seven categories: Contributors, Funders, Publication, Instrument, Dataset, Specimen, and Image. Each metadata field is specified by a name, definition, a list of allowable values, whether it is required, and the number of times it can be repeated for a dataset. These metadata standards were developed by the BRAIN 3D Microscopy Working Group, and are being implemented within the Brain Image Library, the designated repository to accept and make microscopy data publicly available for investigators funded by the US BRAIN Initiative. Comments on this standard are open until February 3, 2023. Add your comments here: bit.ly/ComRevDec22 Why is it important to comment? Community feedback on standards & best practices helps us identify how standards can be improved to be as interoperable as possible with the systems, software, and resources that are currently being used in the field. Find out how to submit your feedback: bit.ly/INCFreview You can comment to express your support, help us identify potential weaknesses, or highlight possibilities for making the standard better or more useful. We value all feedback! Read the INCF criteria for endorsement: bit.ly/INCFreviewcriteria Community review report: bit.ly/ComRevDec22 3D-MMS in the INCF SBP catalog: bit.ly/INCFsbpBRAIN Project page: bit.ly/DORyProject 3D-MMS on Github: bit.ly/3DMMSonGH 3D-MM in Nature: go.nature.com/3VWdcWX Thanks for your help! /The INCF Team -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtanveer at iiti.ac.in Wed Dec 7 09:58:46 2022 From: mtanveer at iiti.ac.in (M Tanveer) Date: Wed, 7 Dec 2022 20:28:46 +0530 Subject: Connectionists: 5 days IEEE CIS Summer School on "DL& CI: Theory and Applications (Hybrid Mode)" Late registration with reduced registration fee: Dec 06-11, 2022 Message-ID: Dear All, I am delighted to inform you that IIT Indore is organizing a 5 days IEEE Computational Intelligence Society (CIS) Summer School on "Deep Learning and Computational Intelligence: Theory and Applications" during December 12-16, 2022. Details of the IEEE CIS Summer School are available at http://events.iiti.ac.in/ieee-cis-summer-school-2022/ The objective of this summer school is to provide a unique platform for young researchers, professionals, and students from all around the world in the recent developments and applicability of deep learning (DL) with computational intelligence (CI). The school will bring people working in CI and DL domains to a common platform for generating innovative ideas. The school will also assess the state of the art on what new directions lie open for research in the areas of CI and DL. In this way, the school will generate exciting new communication across various CI, DL and machine learning disciplines. This summer school features a number of distinguished speakers on DL and CI which will be helpful for researchers and participants. I hereby request you to circulate the information of IEEE CIS Summer School among your colleagues/research scholars and PG students and encourage them to participate in this school and get benefited. Kindly note the following important deadlines: Late Registration: December 06-11, 2022 Opening Ceremony: December 12, 2022 Closing Ceremony: December 16, 2022 Some of the distinguished speakers are: Juergen Schmidhuber, Director, KAUST AI Initiative [Homepage] [Google Scholar] PN Suganthan, Qatar University and NTU Singapore [Homepage] [Google Scholar] Johan Suykens, KU Leuven [Homepage] [Google Scholar] CV Jawahar, IIIT Hyderabad [Homepage] [Google Scholar] Kai Qin, Swinburne University of Technology, Australia [Homepage] [Google Scholar] Complete list of speakers are available at http://events.iiti.ac.in/ieee-cis-summer-school-2022/main/speaker *Kindly note that the IEEE CIS summer school will be organized in hybrid mode. The participants willing to join in the virtual mode may request for reduced registration fee by sending an email to* 2022ieee.cis.ss at gmail.com. Please find the attached brochure for more details. Thanks and best regards, General Chair ? IEEE CIS Summer School 2022 Tanveer ---------------------------------------------------------- Dr. M. Tanveer (General Chair - ICONIP 2022, IEEE CIS SS 2022) Associate Professor and Ramanujan Fellow Department of Mathematics Indian Institute of Technology Indore Email: mtanveer at iiti.ac.in Mobile: +91-9413259268 Homepage: http://iiti.ac.in/people/~mtanveer/ Associate Editor: IEEE TNNLS (IF: 14.25). Action Editor: Neural Networks, Elsevier (IF: 9.65). Associate Editor: Pattern Recognition, Elsevier (IF: 8.52). Editorial Board: Applied Soft Computing, Elsevier (IF: 8.26). Board of Editors: Engineering Applications of AI, Elsevier (IF: 7.80). Associate Editor: Neurocomputing, Elsevier (IF: 5.78). Associate Editor: Cognitive Computation, Springer (IF: 4.89). Associate Editor: International Journal of Machine Learning & Cybernetics (IF: 4.37). -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: Brochure_IEEE_CIS_Summer_School_2022_Virtual Category.jpg Type: image/jpeg Size: 2676414 bytes Desc: not available URL: From H.Bowman at kent.ac.uk Wed Dec 7 11:25:01 2022 From: H.Bowman at kent.ac.uk (Howard Bowman) Date: Wed, 7 Dec 2022 16:25:01 +0000 Subject: Connectionists: PhD on neural modelling of conscious perception Message-ID: PhD position, University of Birmingham: Identifying the Role of Conscious Perception, a Neuroimaging and Computational Investigation Howard Bowman and Damian Cruse, School of Psychology, University of Birmingham are seeking applications for this PhD project, which is competition-funded under the Midlands Integrative Biosciences Training Partnership (supported by the UK Biotechnology and Biological Sciences Research Council). The deadline for applications is Friday, January 20, 2023; a percentage of the available scholarships can be allocated to non-UK students. Informal enquires can be made to H.Bowman at kent.ac.uk. The question of what conscious perception is for remains a key issue for science. In fact, a substantial part of the scientific study of consciousness has focused on showing how sophisticated subconscious processing can be, seemingly leaving little room for a "special" purpose for conscious experience. We have recently presented evidence that the subconscious brain is limited in its capacity to represent episodic information (Avil?s, Bowman & Wyble, 2020; Bowman & Avil?s, In Press; Bowman et al, 2014). We now have extensive behavioural evidence for this hypothesis. We are thus at a perfect stage to 1) characterise the neural correlates (with fMRI, MEG or EEG) that support this formation of episodic memories, and 2) explain these findings with the Simultaneous Type/ Serial Token (STST) model (Bowman & Wyble, 2007), a neural network model of temporal attention. We are proposing a PhD to work on one or both of these topics. More details can be found at, https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/neurosciencebehaviour2023/neuroimagingand https://warwick.ac.uk/fac/cross_fac/mibtp/ -------------------------------------------- Professor Howard Bowman (PhD) Professor of Cognition & Logic in Computing at Uni Kent, and Professor of Cognitive Neuroscience in Psychology at Uni Birmingham (honorary at Wellcome Centre for Human Neuroimaging, University College London) Centre for Cognitive Neuroscience and Cognitive Systems and the School of Computing, University of Kent at Canterbury, Canterbury, Kent, CT2 7NF, UK email: H.Bowman at kent.ac.uk WWW: http://www.cs.kent.ac.uk/people/staff/hb5/ School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Dec 7 11:30:06 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 7 Dec 2022 17:30:06 +0100 Subject: Connectionists: =?utf-8?q?CFP_FRCCS_2023_=E2=80=93_3th_French_Reg?= =?utf-8?q?ional_Conference_on_Complex_Systems_May_30-June_02_Le_Ha?= =?utf-8?q?vre?= Message-ID: *Third F*rench* R*egional* C*onference on* C*omplex* S*ystems May 31 ? June 02, 2023 Le Havre, France *FRCCS 2023* You are cordially invited to submit your contribution until *February 22, 2023.* The* F*rench *R*egional* C*onference on *C*omplex *S*ystems (FRCCS) is an International annual Conference organized in France since 2021. After Dijon (2021), Paris (2022), Le Havre host its third edition (FRCCS 2023). It promotes interdisciplinary exchanges between researchers from various scientific disciplines and backgrounds (sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science). FRCCS 2023 is an opportunity to exchange and promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the complexity science perspective. *Keynote Speakers* Luca Maria Aiello ITU Copenhagen Denmark Ginestra Bianconi Queen Mary University UK V?ctor M. Egu?luz University of the Balearic Islands Spain Adriana Iamnitchi Maastricht University Netherlands Rosario N. Mantegna Palermo University Italy C?line Rozenblat University of Lausanne Switzerland *Submission Guidelines* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full paper* about *original research* ? *Extended Abstract* about published or unpublished research. It is recommended to be between 3-4 pages. They should not exceed four pages. o Submissions must follow the Springer publication format available in the journal Applied Network Science in the Instructions for Authors' instructions entry. o All contributions should be submitted in *pdf format* via *EasyChair .* *Publication* *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, edited by Springer o Complexity, edited by Hindawi *Topics include, but are not limited to: * ? *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior, and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * o Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Cyrille Bertelle LITIS, Normastic, Le Havre Roberto Interdonato CIRAD, UMR TETIS, Montpellier Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From fabio.bellavia at unifi.it Wed Dec 7 17:51:49 2022 From: fabio.bellavia at unifi.it (Fabio Bellavia) Date: Wed, 7 Dec 2022 23:51:49 +0100 Subject: Connectionists: DEADLINE EXTENDED T0 31 JANUARY 2023! - IET Image Processing special issue on "Advancements in Fine Art Pattern Extraction and Recognition" Message-ID: apologies for multiple posting, please distribute among interested parties _________________ *Call for Papers* _______ *Special Issue of IET Image Processing on* __________ *ADVANCEMENTS in FINE ART PATTERN EXTRACTION and RECOGNITION* !!! *DEADLINE EXTENDED* !!! _____31 January 2023_______ ___________ Aim & Scope Cultural heritage, especially fine arts, plays an invaluable role in the cultural, historical and economic growth of our societies. Fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture and architecture. In recent years, thanks to technological improvements and drastic cost reductions, a large-scale digitization effort has been made, which has led to an increasing availability of large digitized fine art collections. This availability, coupled with recent advances in pattern recognition and computer vision, has disclosed new opportunities, especially for researchers in these fields, to assist the art community with automatic tools to further analyze and understand fine arts. Among other benefits, a deeper understanding of fine arts has the potential to make them more accessible to a wider population, both in terms of fruition and creation, thus supporting the spread of culture. This special issue aims to offer the opportunity to present advancements in the state-of-the-art, innovative research, ongoing projects, and academic and industrial reports on the application of visual pattern extraction and recognition for a better understanding and fruition of fine arts, soliciting contributions from pattern recognition, computer vision, artificial intelligence and image processing research areas. The special issue will be linked to the 2nd International Workshop on Fine Art Pattern Extraction and Recognition (FAPER2022). Authors of selected conference papers will be invited to extend and improve their contributions for this special issue, and authors are also invited to submit new contributions (non-conference papers). _______________________________________ Topics include, but are not limited to: - Applications of machine learning and deep learning to cultural heritage and digital humanities - Computer vision and multimedia data processing for fine arts - Generative adversarial networks for artistic data - Augmented and virtual reality for cultural heritage - 3D reconstruction of historical artifacts - Point cloud segmentation and classification for cultural heritage - Historical document analysis - Content-based retrieval in visual art domain - Digitally enriched museum visits - Smart interactive experiences in cultural sites - Project, products or prototypes for cultural heritage _________________________________________________ *Submission Deadline (extended)*: 31 January 2023 Submissions must be made through ScholarOne: https://mc.manuscriptcentral.com/theiet-ipr see the PDF call for paper for more information: https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/17519667/Special%20Issues/IPR%20SI%20CFP_AFAPER-1651107571727.pdf ___________ Open Access From January 2021, The IET began an Open Access publishing partnership with Wiley. As a result, all submissions that are accepted for this Special Issue will be published under the Gold Open Access Model and subject to the Article Processing Charge (APC) of $2,300. *APC can be covered in FULL - FREE OF CHARGE*, or part by your institution *CHECK? YOUR? ELIGIBILITY? HERE* https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/affiliation-policies-payments/institutional-funder-payments.html _______________ Editor-in-Chief Prof. Farzin Deravi, University of Kent, UK _____________ Guest Editors Giovanna Castellano, Universita' di Bari, Italy Gennaro Vessio, Universita' di Bari, Italy Fabio Bellavia, Universita' di Palermo, Italy Sinem Aslan, Universit? Ca' Forscari Venezia, Italy From T.Nowotny at sussex.ac.uk Wed Dec 7 13:06:20 2022 From: T.Nowotny at sussex.ac.uk (Thomas Nowotny) Date: Wed, 7 Dec 2022 18:06:20 +0000 Subject: Connectionists: 6 PhD positions available in biomimetic embodied AI In-Reply-To: References: Message-ID: Dear Connectionists, We are offering 6 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. Deadline: 23 February 2023 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. 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 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Wed Dec 7 14:39:38 2022 From: benoit.frenay at unamur.be (=?Windows-1252?Q?Beno=EEt_Frenay?=) Date: Wed, 7 Dec 2022 19:39:38 +0000 Subject: Connectionists: Full-time assistant professor in ethics for CS at UNamur Message-ID: Dear colleagues, If you are looking for a team of kind and passionate colleagues that value both research and teaching, the Faculty of Computer Science at UNamur has an open academic position in ethics for computer science. The Faculty is more than 50 years old and is located in Namur, an historical city at the center of Wallonia. We are looking for candidates that will create and contribute to collaborations in line with the Faculty's areas of interest (software engineering, data engineering, data science, artificial intelligence, security, formal methods, modeling?). All details can be found here (deadline is January 3rd): https://jobs.unamur.be/emploi.2022-10-28.0704615291 Best regards, Beno?t Fr?nay -------------- next part -------------- An HTML attachment was scrubbed... URL: From valentini at di.unimi.it Wed Dec 7 13:45:09 2022 From: valentini at di.unimi.it (Giorgio Valentini) Date: Wed, 7 Dec 2022 19:45:09 +0100 Subject: Connectionists: PhD positions in Machine Learning and Bioinformatics in Milan Message-ID: <70ae457f-1c19-f615-b6cb-aa2aac310fde@di.unimi.it> A call for 2 Computer Science PhD positions is open at at the Department of Computer Science of the University of Milan in the context of the NextGenerationEU project ?National Center for Gene Therapy and Drugs based on RNA Technology? funded by the Italy?s recovery and resilience plan (PNRR) The project includes more than 40 Universities, Research Centers and Companies with the objective of developing innovative RNA drugs for the therapy of cancer, genetic and neuro-degenerative and infective diseases, with an overall budget of about 400M Euros. In this context? the Milan unit of the Biocomputing section of the consortium funds 2 PhD positions for the project ?Graph Representation Learning methods for the analysis of biomedical Knowledge Graphs?, under the supervision of prof. Giorgio Valentini (Computer Science Dept. of the University of Milan) The main goal of the project is to design and develop Graph Representation Learning methods for the analysis of heterogeneous graphs and for the construction of biomedical Knowledge Graphs. The developed methods will be applied to the analysis of Knowledge Graphs for drug repurposing, drug-target prediction and other node label and edge prediction biomedical problems, with a particular focus on RNA drugs for the therapy of cancer,? genetic , neurodegenerative and infectious diseases. Possible candidates are graduated students in Computer Science, Physics, Biotechnology and other related scientific master degree with research interests in Machine Learning and/or DataBase and/or Bioinformatics with a propensity for applications in the bio-medical field. The PhD student will study with an interdisciplinary team at the University of Milan, working on the development of Graph Representation Learning methods based on random walk and Graph Neural Network specifically designed to solve relevant Network Medicine problems, and/or the development of methods for the construction of biomedical Knowledge Graphs, and the application of Graph Representation Learning and graph-based methods for their analysis. The PhD program will take place at the Computer Science Department of the University of Milan, in collaboration with other national and international research centers involved in the research project itself. The call for applications for the PhD positions is available at the following link: https://www.unimi.it/en/education/postgraduate-and-continuing-education-programmes/doctoral-programmes-phd/ay-2022/2023-computer-science The deadline for submitting applications is very strict: December 30, 2022. For further information, please contact Giorgio Valentini, e-mail: valentini at di.unimi.it -- ==================================================== Giorgio Valentini Dip. Informatica - Universita' degli Studi di Milano Phone: +39 (02) 503.16225 e-mail: valentini at di.unimi.it http://homes.di.unimi.it/valentini Anacleto Lab - Comp. Biology and Bioinformatics http://anacletolab.di.unimi.it ==================================================== I am Italian, but I have nothing to do with fascists, sovereigns and populists From erik at oist.jp Thu Dec 8 07:28:04 2022 From: erik at oist.jp (Erik De Schutter) Date: Thu, 8 Dec 2022 12:28:04 +0000 Subject: Connectionists: Announcing Okinawa/OIST Computational Neuroscience Course 2023 Message-ID: OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc ) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: ? Upinder Bhalla (NCBS, India) ? Claudia Clopath (Imperial College London, UK) ? Erik De Schutter (OIST) ? Tomoki Fukai (OIST) ? Yukiko Goda (OIST) ? Mike H?usser (University College London, UK) ? Bernd Kuhn (OIST) ? Jinny Kim (KIST, South Korea) ? Sam Reiter (OIST) ? Greg Stephens (OIST) ? Kazumasa Tanaka (OIST) ? Marylka Yoe Uusisaari (OIST) ? more to be announced -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3766 bytes Desc: not available URL: From ioannakoroni at csd.auth.gr Fri Dec 9 03:51:07 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Fri, 9 Dec 2022 10:51:07 +0200 Subject: Connectionists: Live e-Lecture by Dr. Silvia Zuffi: "3D Computer Vision for Animals", December 15th, 2022 14.15/14.30 -16:00 CET 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> Message-ID: <02de01d90bab$619e55a0$24db00e0$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Dr. Silvia Zuffi, a prominent AI researcher internationally, will deliver the e-lecture: ?3D Computer Vision for Animals?, on December 15th, 2022 14.15/14.30 -16:00 CET, see details in: http://www.i-aida.org/ai-lectures/ This lecture is delivered through University of Modena and Reggio Emilia in cooperation with AIDA. You can join for free using the zoom link: link Attendance is free. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, 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 AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From marco.zullich at protonmail.com Fri Dec 9 04:49:32 2022 From: marco.zullich at protonmail.com (Marco Zullich) Date: Fri, 09 Dec 2022 09:49:32 +0000 Subject: Connectionists: Research fellowship in AI methods for innovation of business processes Message-ID: Research fellowship opportunity in "Methods and models for artificial intelligence and statistical and automatic learning for the innovation of business processes and decisions" (Metodi e modelli per l'intelligenza artificiale e l'apprendimento statistico e automatico per l'innovazione dei processi e delle decisioni aziendali)?1 year, with possibility of extension. I hereby inform you about the following call for a research grant issued at the Department of Economics, Business, Mathematics and Statistics (DEAMS) of the University of Trieste (Italy), with the scientific coordinator prof. Nicola Torelli. Deadline for submitting applications: Sunday, 25 December 2022. Link to the applications: https://web.units.it/node/46720/assegno/pub For additional info and assistance please contact prof. Nicola Torelli at nicola.torelli at deams.units.it. Feel free to disseminate this application to any eventual interested audience. -------------- next part -------------- An HTML attachment was scrubbed... URL: From interdonatos at gmail.com Thu Dec 8 03:56:57 2022 From: interdonatos at gmail.com (Roberto Interdonato) Date: Thu, 8 Dec 2022 09:56:57 +0100 Subject: Connectionists: Special issue of the 25th Edition of the Discovery Science conference on Machine Learning journal, Springer Message-ID: Call for Papers: Special Issue on Discovery Science 2022 https://www.springer.com/journal/10994/updates/23693484 The Machine Learning journal invites submissions of research papers addressing all aspects of discovery science ? a research discipline concerned with the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, and big data analytics, as well as their application in various domains. Submissions addressing all aspects of discovery science are welcome. Research papers that focus on the analysis of different types of massive and complex data, including structured, spatio-temporal and network data, as well as heterogeneous, continuous or imprecise data are encouraged. Research papers in the fields of computational scientific discovery, mining scientific data, computational creativity and discovery informatics are also welcome. Finally, submissions addressing applications of artificial intelligence in different domains of science, including biomedicine and life sciences, materials science, astronomy, physics, chemistry, as well as social sciences are encouraged. Possible topics include, but are not limited to: Artificial intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science Knowledge discovery and data mining Causal modelling AutoML, meta-learning, planning to learn Machine learning and high-performance computing, grid and cloud computing Literature-based discovery Ontologies for science, including the representation and annotation of datasets and domain knowledge Explainable AI, interpretability of machine learning and deep learning models Process discovery and analysis Computational creativity Anomaly detection and outlier detection Data streams, evolving data, change detection, concept drift, model maintenance Network analysis Time-series analysis Learning from complex data Graphs, networks, linked and relational data Spatial, temporal and spatiotemporal data Unstructured data, including textual and web data Multimedia data Data and knowledge visualization Human-machine interaction for knowledge discovery and management Evaluation of models and predictions in discovery setting Applications of the above techniques in scientific domains, such as Physical sciences (e.g., materials sciences, particle physics) Life sciences (e.g., systems biology/systems medicine) Environmental sciences Natural and social sciences Papers which, at the time of submission, have appeared in the proceedings of Discovery Science 2022 or other relevant conferences will be considered provided that the submission constitutes a significant contribution beyond the conference paper containing at least 30% of new material (e.g., extensions of the method, additional technical results, etc.) as compared to the conference version of the paper. The guest editors (accounting for reviewers? comments) will make the decision on whether the difference is significant enough to warrant publication. The journal version should include a short paragraph explaining how it extends the previously published conference paper. Schedule Paper submission: February 14, 2023 First notifications: April 28, 2023 Deadline for revised submissions: June 13, 2023 Final Notification: July 28, 2023 Expected publication (online): September/October, 2023 Submission procedure To submit to this issue, authors have to make a journal submission to the Springer Machine Learning journal (https://www.editorialmanager.com/MACH/) and select the type of submission to be for the ?S.I.: Discovery Science 2022? special issue. It is highly recommended that submitted papers do not exceed 20 pages including references. Every paper may be accompanied with unlimited appendices. The papers should be formatted in the Springer journal style (svjour3, small condensed). The journal requires authors to include an information sheet as a supplementary material that contains a short summary of their contribution and specifically address the following questions: What is the main claim of the paper? Why is this an important contribution to the machine learning literature? [?We are the first to have done X? is not an acceptable answer without stating the importance of X.] What is the evidence you provide to support your claim? Be precise. [?The evidence is provided by experiments and/or theoretical analysis? is not an acceptable answer without a summary of the main results and their implications.] What papers by other authors make the most closely related contributions, and how is your paper related to them? Have you published parts of your paper before, for instance in a conference? If so, give details of your previous paper(s) and a precise statement detailing how your paper provides a significant contribution beyond the previous paper(s). Guest editors Dino Ienco, INRAE, France Roberto Interdonato, CIRAD, France Pascal Poncelet, University of Montpellier, France For Queries relating to Journal Track Submissions email the journal track chairs at dino.ienco at inrae.fr, roberto.interdonato at cirad.fr and pascal.poncelet at lirmm.fr -- ============================================= Roberto Interdonato, PhD Research Scientist CIRAD UMR TETIS Montpellier France email: roberto.interdonato at cirad.fr tel: +33 (0) 467558615 ============================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From jf5253 at bristol.ac.uk Thu Dec 8 09:39:15 2022 From: jf5253 at bristol.ac.uk (John Fennell) Date: Thu, 8 Dec 2022 14:39:15 +0000 Subject: Connectionists: [Jobs] Fully funded PhD studentship - Deep learning applied to endoscopic analysis of equine upper airway function - Bristol UK Message-ID: Dear colleagues Please circulate this to any students that might be interested We invite applications for the fully funded PhD studentship above. This PhD is suitable for a non-veterinary surgeon provided the applicant has strong programming skills. Specific training related to the machine learning/statistical areas will be provided as needed, together with the racehorse and veterinary aspects, such as endoscopy and upper airway disorders, though there is no requirement for direct animal work. This project is well suited for PhD training in a novel area of interdisciplinary research, providing the opportunity to explore varied approaches for the application of advanced analysis and forming the basis of a substantial long-term research programme. Funding: Based on our Langford campus, the four-year full-time PhD is generously funded by the Horserace Betting Levy Board. International students are welcome to apply but must be able to fund the difference between UK and International tuition fees. Deadline: 31st January 2023 Click here for further information and how to apply. Thanks and regards John -- Dr John Fennell Senior Lecturer in Animal Sensing and Biometrics and School Post Graduate Research Director Bristol Veterinary School University of Bristol -- -------------- next part -------------- An HTML attachment was scrubbed... URL: From pstone at cs.utexas.edu Thu Dec 8 21:10:30 2022 From: pstone at cs.utexas.edu (Peter Stone) Date: Thu, 08 Dec 2022 20:10:30 -0600 Subject: Connectionists: AI100 Essay Contest Message-ID: <27997.1670551830@cs.utexas.edu> Colleagues, Please help me spread the word about this! Thanks, Peter Essay Contest: The One Hundred Year Study on Artificial Intelligence (AI100) is opening up an early career essay competition for Ph.D. students, postdocs, and early-career research scientists and faculty to help us better understand and anticipate how artificial intelligence will affect our lives, work, and society at large. Visit https://ai100.stanford.edu/prize-competition to learn more. Applications will go live on January 17, but now is a great time for those of you leading graduate courses on AI technology and/or AI policy to think about assigning this task as part of a class, and to work with your students to polish and submit particularly strong essays. Email Christine Raval (cbolas at stanford.edu) for more details. From a0091624 at gmail.com Thu Dec 8 03:01:28 2022 From: a0091624 at gmail.com (Mengmi Zhang) Date: Thu, 8 Dec 2022 16:01:28 +0800 Subject: Connectionists: [Jobs] PhD and postdoc positions in AI and computational neuroscience Message-ID: Hi everyone, I will be taking a joint appointment as a tenure-track assistant professor in Nanyang Technological University (NTU), Singapore, starting in August 2023. I have also recently been awarded NRF Fellowship 2023 (link: https://www.nrf.gov.sg/funding-grants/nrf-fellowship). Our Deep NeuroCognition Lab in NTU and A*STAR, Singapore is currently recruiting multiple PhD students and postdocs. Research experiences in neuroscience, cognitive science, and AI are preferred. Students and staff members will receive competitive monthly salaries/scholarships and other benefits (e.g. medical insurance, annual leave, sick leave). Join us: https://a0091624.wixsite.com/deepneurocognition-1/join-us If you are interested in applying, send your CV + research statement to Mengmi Zhang (a0091624 at gmail.com). -- Best, Mengmi Assistant professor and PI of Deep NeuroCognition Lab School of Computer Science and Engineering Nanyang Technological University (NTU), Singapore CFAR and I2R @ Agency for Science, Technology and Research (A*STAR) Lab website: https://a0091624.wixsite.com/deepneurocognition-1 -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.bush at ucl.ac.uk Fri Dec 9 06:33:46 2022 From: d.bush at ucl.ac.uk (Bush, Daniel) Date: Fri, 9 Dec 2022 11:33:46 +0000 Subject: Connectionists: Two post-doc positions with Dan Bush at UCL Message-ID: Dear colleagues, Two research fellow / senior research fellow positions are available in my new research group at the UCL Department of Neuroscience, Physiology and Pharmacology, each funded for two years in the first instance (with the strong possibility of a subsequent extension) These positions are part of an EPSRC project investigating the neural mechanisms of human memory function. The project will focus on collecting and analysing intracranial EEG and single cell recordings from epilepsy patients and MEG recordings from healthy volunteers completing spatial and episodic memory tasks, in conjunction with computational modelling Candidates must have a PhD (or be studying towards it) in science, engineering, maths or a relevant subject area that incorporates some aspect of neuroscience, and proven knowledge of computer programming (using Matlab, Python, or C++). Experience of collecting and analysing rodent electrophysiology, human EEG and / or MEG data is also essential For further details including salary, benefits etc. please follow this link: https://tinyurl.com/38mcacj9 If you have any queries about the role, please contact me at d.bush at ucl.ac.uk Many thanks Dan ---------------------------------------------------- Dr. Daniel Bush GM01, Medical Sciences Building, Gower Street, London, WC1E 6BT Lecturer, UCL Department of Neuroscience, Physiology and Pharmacology Associate Editor, PLoS Computational Biology -------------- next part -------------- An HTML attachment was scrubbed... URL: From tomas.hromadka at gmail.com Fri Dec 9 18:07:33 2022 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Sat, 10 Dec 2022 00:07:33 +0100 Subject: Connectionists: COSYNE 2023: Travel grants, Registration, Tutorials Message-ID: <0ee1fd99-8bb2-7350-cb6f-5d7d8bac803c@gmail.com> ==================================================== Computational and Systems Neuroscience 2023 (Cosyne) MAIN MEETING 09 - 12 March 2023 Montreal WORKSHOPS 13 - 14 March 2023 Mont-Tremblant www.cosyne.org ==================================================== IMPORTANT DATES Registration is now open. Travel grants applications are now open. Travel grant application deadlines *31 December 2022, 11.59PM PST (Undergraduate Travel Grant)* 24 January 2023, 11.59PM PST (Other travel grants) ---------------------------------------------------- COSYNE MEETING & WORKSHOPS ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, neuromodulation, and computation with spiking networks. ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see www.cosyne.org/travel-grants. ---------------------------------------------------- COSYNE TUTORIALS ---------------------------------------------------- Cosyne 2023 will host tutorial sessions on 09 March 2023. For details on Cosyne tutorials please visit www.cosyne.org/tutorials. Cosyne 2023 Tutorial Session Sponsored by the Simons Foundation Topic: Methods in Reinforcement Learning for Neuroscience Speaker: Kimberly Stachenfeld (DeepMind) Kimberly Stachenfeld is a Research Scientist at DeepMind. Her research spans topics in Computational Neuroscience and Machine Learning, and focuses on the general question of how to learn structured, expressive world models that enable flexible reasoning. In ML, she is specifically interested in methods and applications for learned forward models using graph neural networks, and in Neuroscience, she mainly works on mathematical models of hippocampal representations to efficient, scalable RL learning. Learn to Use the International Brain Laboratory (IBL) Brainwide Map Dataset Tutorial The IBL recently released a Brainwide Map of neural activity during decision-making! It consists of 547 Neuropixel recordings of 32784 neurons across 194 regions of the mouse brain, and we want to make it easy for you to use it to test your own hypotheses. At this tutorial we?ll teach you how to use our API, ONE, to search and download datasets, and will show you how to do basic analysis such as raster plots, single cell PSTHs, and brain region averages. INVITED SPEAKERS Demba Ba (Harvard University) Camilla Bellone (University of Geneva) Frans de Waal (Emory University) Tatiana Engel (Cold Spring Harbor Laboratory) Robert Froemke (New York University) Catherine Hartley (New York University) Sheena Josselyn (SickKids) Adam Kepecs (Washington University) Tim Lillicrap (DeepMind) Mackenzie Mathis (?cole Polytechnique F?d?rale de Lausanne) Srdjan Ostojic (?cole Normale Sup?rieure) Anne-Marie Oswald (University of Chicago) Nathalie Rochefort (University of Edinburgh) Maryam Shanechi (University of Southern California) Kimberly Stachenfeld (DeepMind) ORGANIZING COMMITTEE General Chairs: Laura Busse (LMU Munich) and Tim Vogels (IST Austria) Program Chairs: Jessica Cardin (Yale) and Blake Richards (McGill) Workshop Chairs: Anna Schapiro (U Penn) and Andrew Saxe (Oxford) Tutorial Chair: Kanaka Rajan (Mount Sinai) DEIA Committee: Hysell Oviedo (CUNY) and Aman Saleem (UCL) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Sashank Pisupati (Princeton) Fundraising Chair: Michael Long (NYU) Social Media Chair: Grace Lindsay (Columbia) Audio-Video Media Chair: Carlos Stein Brito (EPFL) Poster Design: Xaq Pitkow (Rice) PROGRAM COMMITTEE Jessica Cardin (Yale) Co-chair Blake Richards (McGill) Co-chair Yashar Ahmadian (Cambridge) Mark Andermann (Harvard) Omri Barak (Technion) Brice Bathellier (Paris) Yoram Burak (Hebrew University) Johannes Burge (U Penn) Chandramouli Chandrasekaran (Boston U) SueYeon Chung (Columbia) Jeremiah Cohen (Allen Inst) Anne Collins (Berkeley) Christine Constantinople (NYU) Carina Curto (Penn State) Jan Drugowitsch (Harvard) Tatiana Engel (CSHL) Sean Escola (Columbia) Annegret Falkner (Princeton) Kevin Franks (Duke) Rainer Friedrich (FMI Basel) Andrea Hasenstaub (UCSF) Monika Jadi (Yale) Santiago Jaramillo (U Oregon) Kohitij Kar (MIT) Narayanan Kasthuri (U Chicago) Jens Kremkow (Berlin) Guillaume Lajoie (MILA) Sukbin Lim (Shanghai) Scott Linderman (Stanford) Ashok Litwin-Kumar (Columbia) Mackenzie Mathis (EPFL) Paul Miller (Brandeis) Ida Momennejad (Microsoft) Eilif Muller (U Montreal) Marieke Mur (Western U) Kathy Nagel (NYU) Daniel O'Connor (Johns Hopkins) Hysell Oviedo (CUNY) Il Memming Park (Stony Brook) Joseph Paton (Champalimaud) Adrien Peyrache (McGill) Xaq Pitkow (Rice) Kanaka Rajan (Mount Sinai) Nathalie Rochefort (Edinburgh) Aman Saleem (UCL) Cristina Savin (NYU) Tatyana Sharpee (Salk) Aparna Suvrathan (McGill) Saori Tanaka (ATR) Daniela Vallentin (MPI Ornithology) Melissa Warden (Cornell) Brad Wyble (U Penn) Marta Zlatic (Cambridge) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) Anne-Marie Oswald (U Chicago) CONTACT meeting [at] cosyne.org COSYNE MAILING LISTS Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See www.cosyne.org/mailing-lists for details. From john.murray at yale.edu Fri Dec 9 14:50:13 2022 From: john.murray at yale.edu (Murray, John) Date: Fri, 9 Dec 2022 19:50:13 +0000 Subject: Connectionists: Postdoctoral Swartz Fellowships in Computational Neuroscience at Yale Message-ID: Postdoctoral Swartz Fellowships in Theoretical and Computational Neuroscience at Yale University The Swartz Program for Theoretical Neuroscience at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date in 2022. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories affiliated with the Swartz Program at Yale (Jessica Cardin, Michael Crair, Damon Clark, Jonathan Demb, George Dragoi, Thierry Emonet, Michael Higley, Joe Howard, Monika Jadi, Jamie Jeanne, Alfred Kaye, Liang Liang, Benjamin Machta, John Murray, Anirvan Nandy, Ilker Yildririm, Steven Zucker). Applicants will be encouraged to participate in neuroscience and quantitative biology community at Yale, including through the Wu-Tsai Institute (https://wti.yale.edu/) and the Quantitative Biology Institute (https://qbio.yale.edu/). Candidates must hold a Ph.D. or equivalent degree by the time of beginning the fellowship. Please send a CV, selected (p)reprints, contact information for two or three references, and a statement of research interests including which laboratories at Yale are of interest. All application materials should be sent to the following e-mail address with "Swartz" in the email title: john.murray at yale.edu. Review of applications will begin January 7, 2023 and continue until positions is filled. For any questions, please contact John Murray. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. https://neurojobs.sfn.org/job/35847/postdoctoral-swartz-fellowship-positions-in-theoretical-and-computational-neuroscience-at-yale/ John D. Murray ----------------------------------------------- Associate Professor of Psychiatry, Physics, and Neuroscience Wu Tsai Institute Yale University murraylab.org ----------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: From stdm at zhaw.ch Fri Dec 9 10:01:42 2022 From: stdm at zhaw.ch (Stadelmann Thilo (stdm)) Date: Fri, 9 Dec 2022 15:01:42 +0000 Subject: Connectionists: Endowed Professorship for Industrial AI (Neuro-symbolic Learning & Reasoning) @ZHAW Centre for AI / Switzerland Message-ID: Dear colleagues, I have an open professorship in Industrial AI (focus Neurosymbolic Learning & Reasoning) at the ZHAW School of Engineering Centre for Artificial Intelligence: https://www.zhaw.ch/en/jobs/vacant-positions/job-details/job/detail/2940394/ I am looking for a proactive personality with excellence that will shape research and teaching in the field of neurosymbolic approaches for industrial applications internationally and form our environment in a lasting way. The professorship is endowed by the Joh. Jacob Rieter-Stiftung and Rieter. Application deadline is Jan 31, 2022. IF you are intersted, don't hesitate to reach out to me at stdm at zhaw.ch. Best, Thilo -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Dec 10 07:02:18 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 10 Dec 2022 13:02:18 +0100 (CET) Subject: Connectionists: DeepLearn 2023 Spring: early registration December 23 Message-ID: <1324659837.1570138.1670673738362@webmail.strato.com> ****************************************************************** 9th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Spring Bari, Italy April 3-7, 2023 https://irdta.eu/deeplearn/2023sp/ *********** Co-organized by: Department of Computer Science University of Bari ?Aldo Moro? Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: December 23, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Spring 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? and Bournemouth. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, geographic information systems, 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 24 four-hour and a half courses and 3 keynote lectures, 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 recruitment 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 Spring 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 Spring will take place in Bari, an important economic centre on the Adriatic Sea. The venue will be: University of Bari ?Aldo Moro? STRUCTURE: 3 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Vipin Kumar (University of Minnesota), Knowledge Guided Deep Learning: A Framework for Accelerating Scientific Discovery William S. Noble (University of Washington), Deep Learning Applications in Mass Spectrometry Proteomics and Single-Cell Genomics Emma Tolley (Swiss Federal Institute of Technology Lausanne), Physics-Informed Deep Learning PROFESSORS AND COURSES: (to be completed) Babak Ehteshami Bejnordi (Qualcomm AI Research), tba Patrick Gallinari (Sorbonne University), [intermediate] Physics Aware Deep Learning for Modeling Dynamical Systems Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware Jacob Goldberger (Bar-Ilan University), [introductory/intermediate] Latent Random Variables, Generative Models and Variational Autoencoders Christoph Lampert (Institute of Science and Technology Austria), [intermediate] Training with Fairness and Robustness Guarantees Yingbin Liang (Ohio State University), [intermediate/advanced] Bilevel Optimization and Applications in Deep Learning Miaoyuan Liu (Purdue University), [introductory/intermediate] Edge of the Future: AI in Real Time Systems of Scientific Instruments Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics Michael Mahoney (University of California Berkeley), [intermediate] Practical Neural Network Theory Liza Mijovic (University of Edinburgh), [introductory/intermediate] Deep Learning & the Higgs Boson: Classification with Fully Connected and Adversarial Networks Razvan Pascanu (DeepMind), [intermediate] Understanding Learning Dynamics in Deep Learning and Deep Reinforcement Learning Bhiksha Raj (Carnegie Mellon University), [introductory] An Introduction to Quantum Neural Networks [with Rita Singh and Daniel Justice] Bart ter Haar Romeny (Eindhoven University of Technology), [intermediate/advanced] Explainable AI from First Principles Tara Sainath (Google), [advanced] E2E Speech Recognition Martin Schultz (Research Centre J?lich), [introductory/intermediate] Deep Learning for Air Quality, Weather and Climate Hao Su (University of California San Diego), [intermediate/advanced] Neural Representation for 3D Capturing Adi Laurentiu Tarca (Wayne State University), [intermediate] Machine Learning for Cross-Sectional and Longitudinal Omics Studies Zhi Tian (George Mason University), [intermediate] Communication-Efficient and Robust Distributed Learning Michalis Vazirgiannis (Polytechnic Institute of Paris), [intermediate/advanced] Graph Machine Learning with GNNs and Applications Atlas Wang (University of Texas Austin), [intermediate] Sparse Neural Networks: From Practice to Theory Guo-Wei Wei (Michigan State University), [introductory/advanced] Discovering the Mechanisms of SARS-CoV-2 Evolution and Transmission Lei Xing (Stanford University), [intermediate] Deep Learning for Medical Imaging and Genomic Data Processing: from Data Acquisition, Analysis, to Biomedical Applications Xiaowei Xu (University of Arkansas Little Rock), [intermediate/advanced] Deep Learning Language Models and Causal Inference 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 March 26, 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 March 26, 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 company 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 March 26, 2023. ORGANIZING COMMITTEE: Donato Malerba (Bari, 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://irdta.eu/deeplearn/2023sp/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. 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 will be available in due time at https://irdta.eu/deeplearn/2023sp/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: University of Bari ?Aldo Moro? Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From perfo897 at gmail.com Sat Dec 10 06:31:20 2022 From: perfo897 at gmail.com (=?utf-8?Q?Per-Erik_Forss=C3=A9n?=) Date: Sat, 10 Dec 2022 12:31:20 +0100 Subject: Connectionists: Robot Vision PhD position in Sweden Message-ID: <2A9CDB64-ABB8-4905-9329-D7FB9D13E92B@gmail.com> Greetings! The Computer Vision Laboratory at Link?ping University, Sweden is announcing a PhD position in dorsal stream vision for seeing robots. Applications are received at the LiU vacancies site: https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=20665&rmlang=UK See the link for further details. Best regards, Per-Erik Forssen -------------- next part -------------- An HTML attachment was scrubbed... URL: From marcin at amu.edu.pl Sun Dec 11 15:54:02 2022 From: marcin at amu.edu.pl (Marcin Paprzycki) Date: Sun, 11 Dec 2022 21:54:02 +0100 Subject: Connectionists: Ph.D. positions available In-Reply-To: References: Message-ID: <0543019a-756b-a44f-fc30-ff4d7203ef32@amu.edu.pl> Hello! forwarding message from a friend best, Marcin ****************************************************************** The Research Centre for Artificial Intelligence and Information Technology (CETINIA) at University Rey Juan Carlos (URJC) offers six predoctoral research contracts in the context of a large Spanish national project on Value-Awareness Engineering (VAE). The project will be carried out in cooperation with the Artificial Intelligence Research Institute (IIIA) of the Spanish National Research Council (CSIC), and the Valencian Research Institute on Artificial Intelligence (VRAIN) at Technical University of Valencia (UPV). The general aim of the VAE project is to develop tools and technologies for building value-aware systems. Here, value-aware refers to systems that understand our human values and ensure their behaviour to be aligned with those values. The project is centred in the context of trustworthy Artificial Intelligence and will build upon and advance works in the field of multiagent systems, especially related to normative systems, agreement technologies, machine learning, logic programming, individual and collective decision making and explanation mechanisms, as well as ethical foundations of agency. Successful candidates will work closely with senior CETINIA researchers and other research associates in the project on modelling and implementation tasks, preparing research articles for publication in peer-reviewed journals, and presenting findings at conferences and workshops. Desired outcomes of the research contracts are PhD dissertations, possibly related to one or several of the aforementioned topics of the VAE project. Some positions include the opportunity of implementing cotutelle agreements with collaborating European Universities. Requirements ------------ Candidates are required to hold a degree in Computer Science or related fields (Telecommunication Engineering, Applied Mathematics, Industrial Engineering, etc.), have good communication skills in English and/or Spanish, and be able to demonstrate strong motivation to conduct research. Having completed (or finishing) a Master???s Degree, preferably on Artificial Intelligence, Data Science, or similar topics, is a plus. Good programming skills (Python, Java, and/or Matlab) as well as a solid background in Artificial Intelligence (see the VAE topics above) are desirable. Qualified women are particularly encouraged to apply. Benefits -------- The annual salary is 24.000 EUR before taxes and includes Spanish Social Security. In addition, generous allowances are given to support presentation of work at international conferences and to attend seminars and tutorials. The expected duration of contracts is three years. Contracts are conditional on satisfactory progress, which is reviewed every year. Start date ---------- The desirable start date is February 2023 although variations may be possible depending on the candidates??? circumstances. Application ----------- To apply for these contracts, you are kindly asked to send your (i) motivation letter describing your research interests and goals, (ii) CV, (iii) transcripts, (iv) certificates, (v) contacts for two references, and (vi) relevant publications (if any) in one PDF file to the following e-mail: vae.contracts.urjc at gmail.com preferably by January 7th 2023. Applications will be considered by the Principal Investigators of the VAE project at URJC (Prof. Billhardt and Prof. Ossowski) on a rolling basis. About the CETINIA Research Centre at URJC ----------------------------------------- The CETINIA research centre aims at promoting R&D&I in the field of Artificial Intelligence and IT at URJC. It currently comprises 6 research groups and over 60 faculty members. To successfully carry out its research, technology transfer, and dissemination activities, CETINIA relies on a broad multinational team of researchers and practitioners in the field of Intelligent Systems, Machine Learning, Software Engineering, and Operations Research, among others. CETINIA is involved in research projects with industrial as well as public funding, from regional, national, and European sources. University Rey Juan Carlos is a young public university with several campuses in the greater Madrid. In its 25 years of operation, it managed to grow to 46.000 students, being currently the second largest among the six public Universities in Madrid. CETINIA is located in the campus of Mostoles, where the Presidency of the University is located. Mostoles is the second-largest city in population belonging to the autonomous community of Madrid. It is located 18 kilometres southwest from central Madrid, which can be easily reached by metro, train, or bus. For further information visit the websites at http://www.cetinia.urjc.es/ and http://www.ia.urjc.es/GIA/ From abasov at hse.ru Mon Dec 12 06:15:51 2022 From: abasov at hse.ru (=?koi8-r?B?4sHTz9cg4c7Uz84g6czYyd4=?=) Date: Mon, 12 Dec 2022 11:15:51 +0000 Subject: Connectionists: Assistant Professor in Computer Science Message-ID: <04506dc26ee54467871c6c8d774100a0@hse.ru> The Faculty of Computer Science of HSE University invites applications for full-time, tenure-track positions of Assistant Professor in all areas of computer science including but not limited to artificial intelligence, machine learning, computer vision, programming language theory, software engineering, system programming, algorithms, computation complexity, distributed and parallel computation, bioinformatics, human-computer interaction, and robotics. The deadline for the applications is 15 January 2023. Requirements The general requirements for the tenure track positions are the following: ? Candidates must hold a recent PhD in computer science, mathematics or related fields and has been assessed by external reviewers as having the potential to pursue research that is publishable in leading peer-reviewed journals; ? Teaching experience at leading foreign universities is desirable; ? Knowledge of Russian is not required as research and teaching are both conducted in English. Therefore, fluent English is obligatory. The successful candidate is expected to conduct high-quality research publishable in reputable peer-reviewed journals with research support provided by the University. Conditions Tenure track positions are only available on a full-time, residential basis in Moscow, Russia. Overall, appointments are usually made for an initial three-year period (starting September 2023) and, upon successful completion of an interim review, contracts are normally extended for a further three years until the tenure review. HSE University provides excellent opportunities for international faculty. For instance, we can offer a competitive salary (indexed to inflation annually and subject to a 13% flat income tax), health insurance, travel support, research support and other benefits. Since there is a key focus on generating high quality research, the teaching load of newly hired faculty is low. All individual terms of employment will be reflected in the offer letter. Application Process Applications must be submitted online. Please provide a CV, a statement of research interest and a recent research paper submitted via an online application form. At least two letters of recommendation should be sent directly to the Review Committee at International Faculty Recruitment at iri at hse.ru before the application deadline. -------------- next part -------------- An HTML attachment was scrubbed... URL: From niec_istbi at fudan.edu.cn Mon Dec 12 20:50:07 2022 From: niec_istbi at fudan.edu.cn (=?UTF-8?B?56We57uP5LiO5pm66IO95bel56iL5Lit5b+D?=) Date: Tue, 13 Dec 2022 09:50:07 +0800 (GMT+08:00) Subject: Connectionists: Postdoc positions at the Institute of Science and Technology for Brain-inspired Intelligence of Fudan University Message-ID: <68d4b7b6.46d3.185092cc6f9.Coremail.niec_istbi@fudan.edu.cn> Dear Connectionists: This is the Institute of Science and Technology for Brain-inspired Intelligence of Fudan University! Now we plans to recruit postdoctoral fellows, the attachment is the recruitment details. Could you kindly post a message to all the list members Thank you so much! Sincerely Yang,ziyang Institute of Science and Technology for Brain-inspired Intelligence of Fudan University -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ??????????????????.docx Type: application/vnd.openxmlformats-officedocument.wordprocessingml.document Size: 17360 bytes Desc: not available URL: From ioannakoroni at csd.auth.gr Tue Dec 13 09:20:33 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Tue, 13 Dec 2022 16:20:33 +0200 Subject: Connectionists: Live e-Lecture by Dr. Silvia Zuffi: "3D Computer Vision for Animals", December 15th, 2022 14.15/14.30 -16:00 CET 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> Message-ID: <0b8d01d90efe$10a5be80$31f13b80$@csd.auth.gr> Dear AI scientist/engineer/student/enthusiast, Dr. Silvia Zuffi, a prominent AI researcher internationally, will deliver the e-lecture: ?3D Computer Vision for Animals?, on December 15th, 2022 14.15/14.30 -16:00 CET, see details in: http://www.i-aida.org/ai-lectures/ This lecture is delivered through University of Modena and Reggio Emilia in cooperation with AIDA. You can join for free using the zoom link: link Attendance is free. The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, 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 AIDA email list and CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O?Sullivan, I. Pitas, N. Sebe, J. Stefanowski -------------- next part -------------- An HTML attachment was scrubbed... URL: From jonizhong at msn.com Tue Dec 13 11:23:05 2022 From: jonizhong at msn.com (Joni Zhong) Date: Tue, 13 Dec 2022 16:23:05 +0000 Subject: Connectionists: Fw: [CFP] IEEE Transactions on Cognitive and Developmental Systems Special Issue on Movement Sciences in Cognitive Systems In-Reply-To: References: Message-ID: ================================================================================= Call for Papers: IEEE Transactions on Cognitive and Developmental Systems Special Issue on Movement Sciences in Cognitive Systems ================================================================================= Deadline for submission: Jan 28, 2023 (extended) https://cis.ieee.org/images/files/Documents/call-for-special-issues/Movement_Sciences_in_Cognitive_Systems_CFP_2022.pdf Special issue on Movement Sciences in Cognitive Systems - CFP3 [CFP] Special issue on Movement Sciences in Cognitive Systems IEEE Transactions on Cognitive and Developmental Systems Over the past decades, the robotics communities have created computationally efficient mathematical tools for cis.ieee.org Over the past decades, the robotics communities have created computationally efficient mathematical tools for the study, simulation, and optimization of movements of articulated bodies. These techniques are being applied to increasingly complicated mechanical structures such as prosthetics and artificial systems in rehabilitation and sports training. Such formalism for quantitative biological motion analysis and synthesis is enabling broader applications in fields such as medical diagnosis, physical training monitoring and feedback, animation, ergonomic analysis and design, and assistive robots and devices. Learning and adapting to changing environments are challenging for cognitive systems. It is conceivable that the biological principles that underpin these adaptive and learning behaviours in animals or humans will inspire new robotic technology and the design of cognitive systems. To enable more agile and natural behaviours of these systems, it is useful to observe and analyze the mechanisms of the perception and action of biological systems. Complex brain circuitry is responsible for the movement, which ultimately controls muscle contraction. In humans and other mammals, the organization of neural structures including the spinal cord, cerebral cortex, basal ganglia, and cerebellum may be a key role to allow the adaptation and flexibility of movements This special issue on movement sciences in cognitive systems is primarily concerned with the implications of different computational aspects of movement sciences in developing intelligent systems. In cognitive systems, results and methodologies created from human or animal motion analysis in domains such as biomechanics, neuroscience, computer graphics, and computer vision are rapidly being employed in different themes, such as rehabilitation robots, ergonomic designs and assistive robots. This special issue will highlight the scientific findings from movement neuroscience, algorithms developed for the analysis, simulation, and optimization of articulated body movement and their applications in learning and interpreting complex structures or movements in cognitive systems. The primary list of topics (but is not limited to): Movement analysis in cognitive systems; Movement synthesis in cognitive systems; Sensory-motor learning in cognitive systems; Goal-directed movements in cognitive systems; Environmental-driven scaffolding; Movement neurosciences-inspired control; Modelling of human and animal behaviour movements; Reinforcement learning and deep reinforcement learning in movement control; Biomechanical analysis in cognitive systems; Interactive and affective motion design in cognitive systems Submission: Manuscripts should be prepared according to the guidelines in ?Submission Guidelines? of the IEEE Transactions on Cognitive and Developmental Systems in https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7274989. IEEE Transactions on Cognitive and Developmental Systems | IEEE Xplore IEEE Transactions on Cognitive and Developmental Systems. null | IEEE Xplore ieeexplore.ieee.org Submissions should be done through the journal submission website: https://mc.manuscriptcentral.com/tcds-ieee, by selecting the Manuscript Type of ?Movement Sciences in Cognitive Systems? and clearly marking ?Movement Sciences in Cognitive Systems? in the comments to the Editor-in-Chief. Submitted papers will be reviewed by domain experts. Submission of a manuscript implies that it is the authors? original unpublished work and is not being submitted for possible publication elsewhere. Call for papers: July 2022; Paper submission deadline: 6 January 2023 Notification of acceptance: March 2023; Deadline revised versions: 31st May 2023 Final notification: 30th June 2023; Camera-ready deadline: 31st July 2023 Expected publication date: September 2023 Guest Editors Junpei Zhong, The Hong Kong Polytechnic University, Hong Kong; Ran Dong, Tokyo University of Technology, Japan; Soichiro Ikuno, Tokyo University of Technology, Japan; Yanan Li, University of Sussex, UK Chenguang Yang, University of the West of England, UK Contact: joni.zhong at polyu.edu.hk -------------- next part -------------- An HTML attachment was scrubbed... URL: From paul.linton at columbia.edu Tue Dec 13 10:59:24 2022 From: paul.linton at columbia.edu (Paul Linton) Date: Tue, 13 Dec 2022 10:59:24 -0500 Subject: Connectionists: NEW APPROACHES TO 3D VISION Message-ID: <577F6BFA-9471-4FC6-82AA-880821B13548@columbia.edu> New Royal Society volume: NEW APPROACHES TO 3D VISION On AI, Animal Navigation, and Human Vision Edited by Paul Linton, Michael Morgan, Jenny Read, Dhanraj Vishwanath, Sarah Creem-Regehr, and Fulvio Domini New approaches to 3D vision are enabling new advances in artificial intelligence and autonomous vehicles, a better understanding of animal navigation, and new insights into human perception in virtual and augmented reality. Traditionally, it?s thought that 3D vision relies on recreating an accurate 3D model of the world. But the new approaches to 3D vision explored in this volume challenge this assumption. Instead, they investigate the possibility that computer vision, animal navigation, and human vision can rely on partial or distorted models, or no model at all. This theme issue also highlights the implications for artificial intelligence, autonomous vehicles, human perception in virtual and augmented reality, and the treatment of visual disorders, all of which are explored by individual articles. Link to Volume: https://royalsocietypublishing.org/toc/rstb/2023/378/1869 Based on Scientific Meeting with over 800 attendees, with speakers from DeepMind, Google Robotics, Microsoft Research, and Meta (Facebook) Reality Labs, as well as academics from both basic and applied research. Link to Recordings: https://royalsociety.org/science-events-and-lectures/2021/11/3d-vision/ -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: New Approaches to 3D Vision.pdf Type: application/pdf Size: 509997 bytes Desc: not available URL: -------------- next part -------------- An HTML attachment was scrubbed... URL: From chaoqun.ni at wisc.edu Tue Dec 13 13:28:43 2022 From: chaoqun.ni at wisc.edu (Chaoqun Ni) Date: Tue, 13 Dec 2022 18:28:43 +0000 Subject: Connectionists: Tenure Track Positions at UW-Madison's iSchool Message-ID: The positions will remain open until filled. Position URL: https://jobs.hr.wisc.edu/en-us/job/515572/professor-information-school PVL 267664 Professor, Information School Associate Professor(FA030) or Assistant Professor(FA040) Employer: University of Wisconsin-Madison Location: Madison, WI, United States Salary: Negotiable ACADEMIC (9 months) Anticipated Begin Date: AUGUST 21, 2023 Qualifications: * Demonstrated outstanding research record required. * Demonstrated excellence in teaching required. * Appointment at the tenured level requires evidence of excellence in scholarly research, teaching, and service and success in securing external funding, especially from the National Science Foundation (NSF). Appointment at the tenured level also requires review by the Tenure Committee at the University of Wisconsin-Madison. Job Summary: The University of Wisconsin-Madison's Information School seeks highly qualified candidates for up to three tenure-track positions in information sciences. These faculty positions will be academic nine-month, tenure-track appointments at the Assistant Professor level, to start August 2023. Applications at the Associate Professor level may be considered in exceptional cases. At least one hire will be focused on the following area: - Human factors of cybersecurity and privacy, e.g.: security and privacy usability; security and privacy by design; security of artificial intelligence systems; human factors of data and information security; cybersecurity policy. Applications are also invited in the following areas: - Natural language processing and information retrieval, e.g.: applied natural language processing; text analysis; text and multimedia retrieval; recommendation systems; conversational systems; - Machine learning and artificial intelligence, e.g.: explainable machine learning and Al; algorithmic biases and fairness; human-Al interaction; ethical/social Al. - Computational social sciences, e.g.: analytics and modeling of political behavior; computational analysis of social networks; algorithms and social media analytics; social simulation of organizational behavior. Responsibilities: Faculty responsibilities include research and publication, teaching, student advising (both master's and PhD), and service. The teaching load is two courses per semester. The candidate is expected to conduct scholarly research resulting in publications in high-quality peer-reviewed scholarly venues, acquire external funding to support research and graduate students, and develop and teach bachelor's and master's level courses (both online and in-person). The candidate will be committed to service within the department, university, and profession appropriate to faculty rank. Education Required: Terminal Degree: Ph.D. in information science or a related, position-relevant field Additional Information: The Information School is also advertising separately in ethics of computing, data, and information sciences. Applicants interested in that position should apply under PVL# 267662. The Information School is a partner in the School of Computer, Data & Information Sciences at UW-Madison. Candidates with interdisciplinary projects and/or a willingness to work across boundaries with academic partners in computer science, statistics, communications, bioinformatics and other units are encouraged. The University of Wisconsin-Madison ranks among the top universities in the country in research expenditures and provides excellent support for faculty seeking external funding. Internal research support is available from funds provided by the Wisconsin Alumni Research Foundation. Madison is a pleasant medium-sized city (about 250,000 population) located in the lake region of southern Wisconsin. It is the state capital with a large base for educational research and government activities as well as university-industry interaction. The university and community offer outstanding intellectual, cultural and recreational activities. Madison's quality of life always ranks very high among cities of comparable size as a place to work and live. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit Diversity and Inclusion How to Apply: For questions on the position, contact: Lori Ushman, iSchool Department Administrator, ushman at wisc.edu Your application must be received through Jobs at UW portal (https://jobs.wisc.edu) to be considered as a candidate (). To apply for this position, please click "Apply Online" to begin the process. You will be required to upload the following: 1) Cover letter; 2) Current CV; 3) Research statement, teaching philosophy statement, and statement addressing past and potential contributions to diversity and inclusion through research, teaching, and service (please upload as 1 document); 4) Writing sample; 5) Evidence of teaching ability (this may include teaching evaluations, syllabi, or teaching references) You will also be asked to submit the names and contact information for three references. For those who would begin at the Assistant Professor level, we will request letters right away; for those who would begin with tenure, we will only request letters if you have been selected as a finalist. The deadline for ensuring full consideration is November 15, 2022, however, the position will remain open and applications may be considered until the position is filled. Contact: Lori Ushman ushman at wisc.edu 608-263-2908 To ensure consideration, application must be received by: December 2, 2022 It is anticipated this position requires work be performed in-person, onsite, at a designated campus work location. ************************* The University of Wisconsin is an Equal Opportunity and Affirmative Action Employer. We promote excellence through diversity and encourage all qualified individuals to apply. If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/ Employment will require a criminal background check. It will also require you and your references to answer questions regarding sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report (https://jobs.wisc.edu/asr) contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department. Chaoqun Ni, Ph.D. Assistant Professor Information School (iSchool) School of Computer, Data, and Information Sciences (CDIS) Affiliated Faculty, Holtz Center for Science & Technology Studies Co-founder, Metascience Research Lab University of Wisconsin-Madison https://chaoqunni.github.io/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From el-ghazali.talbi at univ-lille.fr Wed Dec 14 06:11:14 2022 From: el-ghazali.talbi at univ-lille.fr (El-ghazali Talbi) Date: Wed, 14 Dec 2022 12:11:14 +0100 Subject: Connectionists: Postdoc position in Deep Neural Networks Message-ID: <4417115e-3d01-a8b1-97b1-99898a5a22b4@univ-lille.fr> Dear all, Please find enclosed a Postdoc position @Paris (France) on Multi-objective Prediction Models for Machine Learning Applications. best regards -- ********************************************************************** OLA'2023 International Conference on Optimization and Learning (SCOPUS, Springer) Malaga, Spain, May 3-5, 2023 http://ola2023.sciencesconf.org *********************************************************************** META'2023 International Conference on Metaheuristics and Nature Inspired Computing (SCOPUS, Springer) Marrakech, Morocco, Oct 25-28, 2023 *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS -------------- next part -------------- A non-text attachment was scrubbed... Name: postDoc_proposal.pdf Type: application/pdf Size: 55559 bytes Desc: not available URL: From odelia at cs.miami.edu Wed Dec 14 09:43:41 2022 From: odelia at cs.miami.edu (Odelia Schwartz) Date: Wed, 14 Dec 2022 09:43:41 -0500 Subject: Connectionists: Associate Professor or Professor at University of Miami Message-ID: The Department of Computer Science at University of Miami has an opening for an Associate Professor or Professor position in the broad area of Data Science (see ad below). Odelia --------- Link for ad and application: https://umiami.wd1.myworkdayjobs.com/UMFaculty/job/Coral-Gables-FL/Associate-Professor-or-Professor---Department-of-Computer-Science_R100061116 The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida. With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the globe. The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service. The Department of Computer Science (https://www.cs.miami.edu) invites applications for tenure-track or tenure eligible faculty positions at levels of Associate Professor and Professor. Candidates must possess or expect to receive a PhD in Computer Science or a closely related discipline by the beginning of the appointment, August 15, 2023. In addition, successful candidates must conduct research in Data Science, including areas such as Machine Learning, Deep Learning, Computer Vision, Cognitive Cybersecurity, Blockchain, Real-time Analytics, Streaming Analytics, Cyber-analytics, and Edge Computing, and are expected to develop/maintain an internationally recognized research program. Exceptional candidates in related areas will be considered. The selected candidate will be expected to teach classes at the undergraduate and graduate levels. The faculty in these positions will be housed primarily in the Department of Computer Science and will have responsibilities in the Institute for Data Science and Computing (IDSC). IDSC (https://www.idsc.miami.edu) is a newly created university research organization and rapidly growing its capacity. IDSC focuses on defining new knowledge areas and disciplines that can take advantage of data and computation, enhancing the use of data and computational methods in existing disciplines at the University of Miami, and helping to educate the public at large about intelligent and responsible use of data by developing programs at all educational levels. Recent collaborative efforts between the institute and the Department of Computer Science include an NSF IUCRC Center for Accelerated Real-time Analytics (https://carta.miami.edu) and the Master of Science in Data Science program (https://msdatascience.miami.edu). Applications should be submitted via the UM Careers website at https://umiami.wd1.myworkdayjobs.com/UMFaculty and shall include: A cover letter, including the names and contact information for at least three references. Curriculum vitae. Research plan. Teaching philosophy, including, if applicable, the results of all teaching evaluations from the last two years. A statement that explains your contributions to diversity, equity, and inclusion. A single PDF concatenating up to three representative papers. Please compile the above-mentioned application documents in a single PDF and upload under the Resume/CV section of the online application. Review of applications will begin on the 4th of November 2022 and continue until the positions are filled. Inquiries may be directed to search at cs.miami.edu. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. -------------- next part -------------- An HTML attachment was scrubbed... URL: From ioannakoroni at csd.auth.gr Wed Dec 14 09:32:14 2022 From: ioannakoroni at csd.auth.gr (Ioanna Koroni) Date: Wed, 14 Dec 2022 16:32:14 +0200 Subject: Connectionists: =?utf-8?q?New_book_=E2=80=9CArtificial_Intelligen?= =?utf-8?q?ce_Science_and_Society_Part_C=E2=80=9D_=28Amazon/Kindle?= =?utf-8?q?=29__presenting__the_social_impact_of_AI?= References: <20221213221543.Horde.OG2gxlWfihwqZXjWt1Cxy3P@webmail.auth.gr> <004f01d90fa5$394c4320$abe4c960$@csd.auth.gr> Message-ID: <108401d90fc8$dc9b4760$95d1d620$@csd.auth.gr> Dear AI professional, student, enthusiast, 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 third volume ?Artificial Intelligence Science and Society Part C: AI Science and Society? (335 pages) https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860 overviews the immense social impact of Artificial Intelligence (AI) and Information Technologies (IT), towards the formation of ?Information and Knowledge societies?. It presents various hot topics on Digital Markets (e.g., intellectual property, identity, online marketing, finance and economics, AI and IT economics, cryptocurrencies, NFTs), Civil Rights (privacy protection, Justice, digital crime), Politics and Democracy (computational politics, societal and political networks, political activism, war and peace, advanced warfare, revolution, Geopolitics), Social Media (meta-societies, social activism, irrationalism and anti-elitism, virtual communities, disinformation, fake data, news and e-agora), AI in Arts (deep arts, computational aesthetics, media production, music and dance), Education and Research, Economy and Management (digital governance, industry, labor), AI and liberal studies (AI ethics and Philosophy, digital humanities computational history, computational sociology, Religion, religious practice and art). Furthermore, trustworthy AI methods addressing many of the above challenges are overviewed. This book part requires no particular background on liberal studies. 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: ? Can we develop a ?Mind and Social Science and Engineering? discipline in liberal studies? ? Can Virtual Reality truly empower meta-societies or is it just a hype? ? How can we not only protect but also monetize our personal data? ? Can AI help devising new political systems? (Part C) ? How the Generalized OnLine Affect and Cognition (GOLAC) disorder fuels irrationalism, anti-elitism? ? How company policies promote social media disinformation? ? What is currently at stake in the interface between technology and Geopolitics? Part C Table of contents (335 pages): Identity, Intellectual Property,Privacy protection, Fake data, News and Agora, Media Production and Streaming, Music and Dance, Digital Humanities, Ex machina Arts, Computational Aesthetics, Research, Research Dissemination, Morphosis, Educational Methods, Education and Society, Truth, Justice, Digital Crime, Digital Markets,Online Marketing, Finance and Economics, AI and IT Economics, Cryptocurrencies, Non-Fungible Tokens, Digital Governance, Industry, Labor, Meta-agoras and Meta-societies, Politics and Democracy, Computational Politics, Societal and Political Networks, Social Activism, Irrationalism and Anti-elitism, Virtual Communities and Disinformation, Political Activism, Computational History, Computational Social Science, Ethics and Philosophy, Religion, Religious Practice and AI, Religious Art, War and Peace, Advanced Warfare, Revolution, Geopolitics, Trustworthy AI, Information and Knowledge society. The analysis of the societal impact of AI is grounded on two pillars: a) AI Science and Engineering (overviewed in Part A of this book and b) the relation of AI Science to human mind and intelligence (Part B). It provides the necessary societal background to study the impact of AI and Information Science on our environment (Part D): ? ?Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology? https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860 ? ?Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans? (276 pages) https://www.amazon.com/dp/9609156479?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 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 This message is sent only once. I apologize if you receive it through multiple communication channels. 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 From ilya.nemenman at emory.edu Wed Dec 14 07:48:58 2022 From: ilya.nemenman at emory.edu (Nemenman, Ilya) Date: Wed, 14 Dec 2022 12:48:58 +0000 Subject: Connectionists: Open rank faculty position in Statistical Physics/AI at Emory University Message-ID: <7D56143E-BBD6-40E2-AD7A-3FAD43E5D56C@emory.edu> Dear Colleagues: (Apologies for cross-posting) There are a few more days left to apply for the open-rank, tenure-track or tenured faculty position in theoretical statistical physics/AI at the Department of Physics at Emory University, to begin in the fall 2023. The ideal candidate will work at the intersection of theoretical statistical physics and machine learning / statistical inference and will connect these fields to other existing research strengths in the Department (biological physics, soft matter physics, condensed matter and optics). The candidate will also complement the research strengths of the University more generally, for instance by adding to Emory's internationally recognized expertise in biological and biomedical sciences and in the Theory and Modeling of Living Systems. The candidate will benefit from and actively seek collaborative interactions, including with the cohort of other recruits in the university-wide AI.Humanity initiative. Detailed job posting and application instructions can be found at https://apply.interfolio.com/114405. Applications close Dec 15, 2022. Please forward this announcement widely. Sincerely, Ilya Nemenman -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.jaeger at rug.nl Wed Dec 14 16:08:21 2022 From: h.jaeger at rug.nl (Herbert Jaeger) Date: Wed, 14 Dec 2022 22:08:21 +0100 Subject: Connectionists: Spring School INTERDISCIPLINARY COLLEGE 2023: Invitation to Participate Message-ID: <6c6dd9a5-0ec7-6a8e-b750-3e0ae435f9d0@rug.nl> The Interdisciplinary College (https://interdisciplinary-college.org/) is an annual one-week spring school, now in its 24th year. It offers a dense 4-track state-of-the-art course program in the wider sciences of intelligent/cognitive systems: Cognitive and Computational Neuroscience, Psychology, Machine Learning, AI and Philosophy. The perspective and mission is decidedly interdisciplinary. The 2023 event will take place in Guenne, Lake Moehne, Germany, on March 12-17, 2023 Chairs: Elisabeth Zimmermann, Gregor Sch?ner Each IK is centered on a *focus theme*. In 2023 the focus is on the role that physical interaction of an agent (with the environment, other agents, or its own body) plays for cognition. An offering of about 25 courses (each course 4-6 hours) is grouped under the perspectives of Movement & Bodily Experience; Neural Dynamics and Grounded Cognition; Experiencing Self and Others; Engaging with Technology & Things. The IK is also a unique social and networking event. Minds meet, music is played, and friends are made in long evening and night sessions in the welcoming conference site at Lake Moehne. While the IK has traditionally been mainly a European event, participants from outside Europe are highly welcome! Please visit https://interdisciplinary-college.org/ for the detailed program, venue and registration and everything else, including the IK's 40-year history, and a totally seductive 6-min video on the startpage. --- Dr. Herbert Jaeger Professor of Computing in Cognitive Materials Rijksuniversiteit Groningen Faculty of Science and Engineering - CogniGron Bernoulliborg Nijenborgh 9, 9747 AG Groningen office: Bernoulliborg 402 phone: +31 (0) 631 921588 web: www.ai.rug.nl/minds/ From marwen.belkaid at ensea.fr Thu Dec 15 03:54:32 2022 From: marwen.belkaid at ensea.fr (marwen Belkaid) Date: Thu, 15 Dec 2022 09:54:32 +0100 Subject: Connectionists: PhD position in computational modeling for neuroscience and robotics Message-ID: <356ad322-4542-2341-fcb5-d6f1b0fbd53f@ensea.fr> In the context of my Junior Professor Chair investigating the affective and social determinants of intelligent behavior in brains and machines, I have an opening for a fully funded PhD position to work on one of the following topics: * Affective and social determinants of visual attention orienting * Affective and social neuromodulation of decision-making processes The PhD project will be carried out at the ETIS Lab (CNRS UMR8051) at CY Cergy Paris Universit?, located in the Paris region. Full details here: https://t.ly/PhD2023 Deadline for application: 10 January 2023 Starting date: ideally in spring 2023 (negotiable). -- Marwen Belkaid Junior Professor Chair in Neuroscience and Robotics ETIS Lab | CY Cergy Paris Universit?, ENSEA, CNRS UMR8051 Address: 2 avenue Adolphe-Chauvin, BP 222, Pontoise 95302 Webpage:https://marwenbelkaid.github.io/ Twitter: @marwenBelkaid -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.silver at ucl.ac.uk Thu Dec 15 06:36:40 2022 From: a.silver at ucl.ac.uk (Silver, Angus) Date: Thu, 15 Dec 2022 11:36:40 +0000 Subject: Connectionists: Interdisciplinary PhD program in London, UK Message-ID: Interdisciplinary PhD program in London, UK ? call for 2023 applications ? deadline 10th January. The London Interdisciplinary Biosciences Consortium (LIDo) Doctoral Training Partnership (DTP) is a BBSRC funded collaborative partnership offering world-class interdisciplinary research. LIDo unites an exciting team of outstanding universities and unique specialist institutions to provide innovative cutting-edge interdisciplinary research in the heart of one of the world's most vibrant and scientifically stimulating cities. LIDo will be offering 41 fully funded studentships in September 2023 across our DTP and iCASE routes of entry; these include home tuition fees and a tax-free stipend in the region of ?19,668. A maximum of 11 of these positions can be offered to students eligible for overseas fee rates, where LIDo will cover the full fee amount. DTP Route In the first year of the programme DTP students will undertake two 4-month research projects in different partner institutions, selecting from a catalogue of over 200 topics. The choice of PhD topic is finalised after the second rotation project. Research opportunities are available across the breadth of BBSRC remit. Exemplar projects can be found on our website: https://www.lido-dtp.ac.uk/projects and DTP students will have the opportunity to contact potential supervisors in the Spring ahead of our call for projects. LIDo is particularly keen to welcome students from mathematics, computer science, engineering and the physical sciences who are eager to apply their skills and experience to biological problems and students from the plant sciences for exciting new projects available at our specialist academic and associate partners. All DTP students undertake a compulsory 3-month internship (PIPS) during their PhD to gain experience and context for careers where the transferable skills developed during their PhD programme can be usefully employed. iCASE Route Industrial collaborative (iCASE) students begin working on their named project from the start of the course. These projects represent genuine partnerships between academics within the LIDo consortium and industrial colleagues, allowing students to experience both distinctive environments in a mutually productive and supportive team and an extended placement of 3-18 months with their non-academic partner. Training and Cohort Building During the first-year, students will receive advanced training in fundamental and advanced mathematical, computational, and statistical skills for interdisciplinary and systems biology research. Expert in-house training in biological concepts and exposure to the history, trends and structure of the biotechnology and pharmaceutical industries make up the remaining first year teaching. Each year a week of cross research council remit teaching cushions the two rotations providing students the opportunity to hear from academic, industry, government, and not-for-profit speakers on a range of topics in the boundaries of BBSRC remit. The extraordinary LIDo teaching and research-intensive environment sits within a framework of robust and established cohort building activities, culminating each year in an academic retreat for the students. Application We enthusiastically invite applications by all highly motivated students from a wide range of academic backgrounds including biological, physical, computational, engineering or mathematical disciplines. Applicants must hold, or be expected to achieve, a first or high upper second-class honours degree (or equivalent), or an MSci or other Masters degree. For details on how to apply and the link to our online application form please go to: www.lido-dtp.ac.uk/apply The application window will close on Tuesday 10th January 2023 at 5pm. R. Angus Silver, FRS Professor of Neuroscience and Wellcome Trust Principal Research Fellow Department of Neuroscience, Physiology and Pharmacology University College London Gower Street London WC1E 6BT Tel : 020 7679 7830 www.ucl.ac.uk/silverlab/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From jose at rubic.rutgers.edu Thu Dec 15 09:26:08 2022 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Thu, 15 Dec 2022 14:26:08 +0000 Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI Message-ID: In the last year, Yann Le Cun has posted a new vision for AI, partly avoiding the ambiguous complexity of LLM, and AGI, he focuses on explicit reasoning systems, going beyond the implicit classification systems which have been so successful with Deep Learning. Like other AI leaders, he realized that somethingthay must be scaled down before scaling up. It would be better to get the reasoning sense of a non-human mammal, say a cat, then jump to human reasoning, Yann argues. This also underscores, I think, much of the problem with LLM--e.g. ChatBOTs, which probably will be a concern for classicial lingustics, nonetheless are inscructable. At the same time critics have emerged, because when one provides enough detail of a specific vision it is both courageous and risky. Our favorite critic/troll, Gary Marcus wrote several critiques (see the one below), and Yann and Jake Browning tried to clarify, and deflate some of the Marcus arguments, as many of them appear to almost perversely misunderstand the difference between complex Nerual Network architectures and symbolic systems from the 1970s (which mostly didn't work). Here is the conversation in whole focused entirely on Yann's new AI vision. Cheers and Happy Holidays--Steve https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s The description of the paper and critques. https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/ https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/ https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/ *(due to a small mic issue, we have also closed captioned the conversation) -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From phitzler at googlemail.com Thu Dec 15 12:02:52 2022 From: phitzler at googlemail.com (Pascal Hitzler) Date: Thu, 15 Dec 2022 11:02:52 -0600 Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI In-Reply-To: References: Message-ID: <5c8d4a25-b569-deb5-c6bb-e8f27e335483@googlemail.com> I wanted to mention in this context that we recently started a research community slack on neurosymbolic artificial intelligence that has grown to 450 people within 2 weeks. If you're interested in joining, email me and I'll send you an invite. (Anybody else already on the slack can also invite you) Pascal. On 12/15/2022 8:26 AM, Stephen Jos? Hanson wrote: > In the last year, Yann Le Cun has posted a new vision for AI, partly > avoiding the ambiguous complexity of LLM, and AGI, he focuses on > explicit reasoning systems, going beyond the implicit classification > systems which have been so successful with Deep Learning.? Like other AI > leaders, he realized that? somethingthay must be scaled down before > scaling up.? It would be better to get the reasoning sense of a > non-human mammal, say a cat, then jump to human reasoning, Yann argues. > > This also underscores, I think,? much of the problem with LLM--e.g. > ChatBOTs, which probably? will be a concern for classicial lingustics, > nonetheless are inscructable. > > At the same time critics have emerged, because when one provides enough > detail of a specific vision it is both courageous and risky.?? Our > favorite critic/troll, Gary Marcus wrote several critiques (see? the one > below), and? Yann and Jake Browning tried to clarify, and deflate some > of the Marcus arguments, as many of them? appear to almost perversely > misunderstand the difference between complex Nerual Network > architectures and symbolic systems from the 1970s (which mostly didn't > work). > > Here is the conversation in whole focused entirely on Yann's new AI > vision.? Cheers and Happy Holidays--Steve > > https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s > > The? description of the paper and critques. > > https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/ > > https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/ > > https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas > > https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/ > > *(due to a small mic issue, we have also closed captioned the conversation) > > -- > Stephen Jos? Hanson > Professor, Psychology Department > Director, RUBIC (Rutgers University Brain Imaging Center) > Member, Executive Committee, RUCCS > -- Pascal Hitzler Lloyd T. Smith Creativity in Engineering Chair Director, Center for AI and Data Science Kansas State University http://www.pascal-hitzler.de http://www.daselab.org http://www.semantic-web-journal.net From jose at rubic.rutgers.edu Thu Dec 15 12:52:28 2022 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Thu, 15 Dec 2022 17:52:28 +0000 Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI In-Reply-To: References: Message-ID: I should add the Marcus paper that directly criticized Yann's first paper, then I believe the Le Cun and Browning paper was a general commentary on AI and Human Intelligence in order to follow this thread with greater clarity. https://www.noemamag.com/deep-learning-alone-isnt-getting-us-to-human-like-ai/ the other paper listed below from Marcus ("Is there anything novel in Yann Le Cun's new Vision; Spoiler Alert:NO") If there are other papers in this thread.. please let me know. thanks Steve On 12/15/22 09:26, Stephen Jos? Hanson wrote: In the last year, Yann Le Cun has posted a new vision for AI, partly avoiding the ambiguous complexity of LLM, and AGI, he focuses on explicit reasoning systems, going beyond the implicit classification systems which have been so successful with Deep Learning. Like other AI leaders, he realized that somethingthay must be scaled down before scaling up. It would be better to get the reasoning sense of a non-human mammal, say a cat, then jump to human reasoning, Yann argues. This also underscores, I think, much of the problem with LLM--e.g. ChatBOTs, which probably will be a concern for classicial lingustics, nonetheless are inscructable. At the same time critics have emerged, because when one provides enough detail of a specific vision it is both courageous and risky. Our favorite critic/troll, Gary Marcus wrote several critiques (see the one below), and Yann and Jake Browning tried to clarify, and deflate some of the Marcus arguments, as many of them appear to almost perversely misunderstand the difference between complex Nerual Network architectures and symbolic systems from the 1970s (which mostly didn't work). Here is the conversation in whole focused entirely on Yann's new AI vision. Cheers and Happy Holidays--Steve https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s The description of the paper and critques. https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/ https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/ https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/ *(due to a small mic issue, we have also closed captioned the conversation) -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From gary at eng.ucsd.edu Thu Dec 15 21:03:28 2022 From: gary at eng.ucsd.edu (gary@ucsd.edu) Date: Thu, 15 Dec 2022 18:03:28 -0800 Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI In-Reply-To: References: Message-ID: there should be a deep learning system to fix the sound... g. On Thu, Dec 15, 2022 at 6:41 AM Stephen Jos? Hanson wrote: > In the last year, Yann Le Cun has posted a new vision for AI, partly > avoiding the ambiguous complexity of LLM, and AGI, he focuses on > explicit reasoning systems, going beyond the implicit classification > systems which have been so successful with Deep Learning. Like other AI > leaders, he realized that somethingthay must be scaled down before scaling > up. It would be better to get the reasoning sense of a non-human mammal, > say a cat, then jump to human reasoning, Yann argues. > > This also underscores, I think, much of the problem with LLM--e.g. > ChatBOTs, which probably will be a concern for classicial lingustics, > nonetheless are inscructable. > > At the same time critics have emerged, because when one provides enough > detail of a specific vision it is both courageous and risky. Our favorite > critic/troll, Gary Marcus wrote several critiques (see the one below), > and Yann and Jake Browning tried to clarify, and deflate some of the > Marcus arguments, as many of them appear to almost perversely > misunderstand the difference between complex Nerual Network architectures > and symbolic systems from the 1970s (which mostly didn't work). > > Here is the conversation in whole focused entirely on Yann's new AI > vision. Cheers and Happy Holidays--Steve > > https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s > > The description of the paper and critques. > > https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/ > > > https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/ > > https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas > > https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/ > > *(due to a small mic issue, we have also closed captioned the conversation) > > -- > Stephen Jos? Hanson > Professor, Psychology Department > Director, RUBIC (Rutgers University Brain Imaging Center) > Member, Executive Committee, RUCCS > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.t.van.der.meer at liacs.leidenuniv.nl Fri Dec 16 03:19:08 2022 From: m.t.van.der.meer at liacs.leidenuniv.nl (Meer, M.T. van der (Michiel)) Date: Fri, 16 Dec 2022 08:19:08 +0000 Subject: Connectionists: Call for Participation at HHAI2023 (Main Track, Posters & Demos, Doctoral Consortium, Workshop & Tutorials) Message-ID: <31c446c1-fd9f-9e64-3e84-35cf21be9db2@liacs.leidenuniv.nl> Calls for Participation at HHAI2023 June 26-30, 2023, Munich, Germany In this call: * 2nd Call for Papers Main Track * 1st Call for Posters and Demos * 1st Call for Doctoral Consortium Papers * Call for HHAI 2023 Workshop and Tutorial Proposals The full text of each call is available on our website: https://www.hhai-conference.org/ In this message, we shortened each call to their essentials. All deadlines are at the end of the day specified, anywhere on Earth (UTC-12). Hybrid Human-Artificial Intelligence (HHAI 2023) is the second international conference focusing on the study of Artificial Intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. HHAI aims for AI systems that work together with humans, emphasising the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems that leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations. This field of study is driven by current developments in AI, but also requires fundamentally new approaches and solutions. In addition, we want to encourage collaborations across research domains such as AI, HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others. In this second international conference, we invite scholars from these fields to submit their best original, new as well as in progress, visionary and existing work on Hybrid Human-Artificial Intelligence. Topics We invite research on different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive: * Human-AI interaction and collaboration * Adaptive human-AI co-learning and co-creation * Learning, reasoning and planning with humans and machines in the loop * User modelling and personalisation * Integration of learning and reasoning * Transparent, explainable and accountable AI * Fair, ethical, responsible and trustworthy AI * Societal awareness of AI * Multimodal machine perception of real world settings * Social signal processing * Representations learning for Communicative or Collaborative AI * Symbolic and narrative-based representations for human-centric AI * Role of Design and Compositionality of AI systems in Interpretable / Collaborative AI We welcome contributions about all types of technology, from robots and conversational agents to multi-agent systems and machine learning models. Keep an eye out on our website for more information: https://www.hhai-conference.org/ Work should be submitted via Easychair: https://easychair.org/conferences/?conf=hhai2023 For questions, you can reach us at: > --- Call for Papers Main Track We welcome submissions of 4-12 pages addressing relevant topics to HHAI. For more information see: https://www.hhai-conference.org/cfp/ Important dates * Abstract submission: February 10th, 2023 * Paper submission: February 17th, 2023 * Reviews released: March 17th, 2023 * Final notification: April 01st, 2023 * Camera-ready: May 02nd, 2023 * Main conference: June 26th-30th, 2023 --- Call for Posters and Demos We welcome submissions of 2 page abstracts addressing relevant topics to HHAI. For more information see: https://www.hhai-conference.org/cfpd/ Important Deadlines * Submission due: Monday April 10th, 2023 * Notifications: Friday May 5th, 2023 * Camera-ready due (extended abstract): Monday May 15th, 2023 * Final video and poster submission: Tuesday May 23th, 2023 * HHAI2023 Posters & Demos: June 29th, 2023 --- Call for Doctoral Consortium Papers We welcome submissions of 8-12 page descriptions of PhD research proposals. For more information see: https://www.hhai-conference.org/cfpdc/ Important Dates * Submission Deadline: March 15th, 2023 * Reviews Released: April 15th, 2023 * Camera-ready Papers Due: May 15th, 2023 * Doctoral Consortium: June 27th, 2023 --- Call for HHAI 2023 Workshop and Tutorial Proposals We welcome submissions of 8 page proposals for workshops or tutorials. For more information see: https://www.hhai-conference.org/cfpwt/ Important Dates * January 31, 2023: Workshop and tutorial proposals due * February 7, 2023: Proposal acceptance notification * February 14, 2023: Deadline for announcing the Call for Contributions to the workshops * March 28, 2023: Recommended deadline for submissions to the workshops * April 25, 2023: Recommended deadline for notifications on the submissions * June 26/27, 2023: HHAI 2023 Workshops Kind regards, On behalf of the HHAI 2023 Organizing Committee, Michiel van der Meer Leiden University Web & Publicity Chair HHAI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Dec 17 15:51:19 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 17 Dec 2022 21:51:19 +0100 (CET) Subject: Connectionists: DeepLearn 2023 Winter: early registration December 18 Message-ID: <1004148607.2702020.1671310279515@webmail.strato.com> ****************************************************************** 8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice ? IRDTA Brussels/London ****************************************************************** Early registration: December 18, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Winter 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 and Lule?. Deep learning is a branch of artificial intelligence covering a spectrum of current exciting 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, bioinformatics, 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 20 four-hour and a half courses and 3 keynote lectures, 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 recruitment 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 Winter 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 Winter will take place in Bournemouth, a coastal resort town on the south coast of England. The venue will be: Talbot Campus Bournemouth University https://www.bournemouth.ac.uk/about/contact-us/directions-maps/directions-our-talbot-campus STRUCTURE: 3 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. Full live online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event. KEYNOTE SPEAKERS: Yi Ma (University of California, Berkeley), CTRL: Closed-Loop Data Transcription via Rate Reduction Daphna Weinshall (Hebrew University of Jerusalem), Curriculum Learning in Deep Networks Eric P. Xing (Carnegie Mellon University), It Is Time for Deep Learning to Understand Its Expense Bills PROFESSORS AND COURSES: Matias Carrasco Kind (University of Illinois, Urbana-Champaign), [intermediate] Anomaly Detection Nitesh Chawla (University of Notre Dame), [introductory/intermediate] Graph Representation Learning Sumit Chopra (New York University), [intermediate] Deep Learning for Healthcare Luc De Raedt (KU Leuven), [introductory/intermediate] From Statistical Relational to Neuro-Symbolic Artificial Intelligence Marco Duarte (University of Massachusetts, Amherst), [introductory/intermediate] Explainable Machine Learning Jo?o Gama (University of Porto), [introductory] Learning from Data Streams: Challenges, Issues, and Opportunities Claus Horn (Zurich University of Applied Sciences), [intermediate] Deep Learning for Biotechnology Zhiting Hu (University of California, San Diego) & Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] A "Standard Model" for Machine Learning with All Experiences Nathalie Japkowicz (American University), [intermediate/advanced] Learning from Class Imbalances Gregor Kasieczka (University of Hamburg), [introductory/intermediate] Deep Learning Fundamental Physics: Rare Signals, Unsupervised Anomaly Detection, and Generative Models Karen Livescu (Toyota Technological Institute at Chicago), [intermediate/advanced] Speech Processing: Automatic Speech Recognition and beyond David McAllester (Toyota Technological Institute at Chicago), [intermediate/advanced] Information Theory for Deep Learning Dhabaleswar K. Panda (Ohio State University), [intermediate] Exploiting High-performance Computing for Deep Learning: Why and How? Fabio Roli (University of Genova), [introductory/intermediate] Adversarial Machine Learning Bracha Shapira (Ben-Gurion University of the Negev), [introductory/intermediate] Recommender Systems Kunal Talwar (Apple), [introductory/intermediate] Foundations of Differentially Private Learning Tinne Tuytelaars (KU Leuven), [introductory/intermediate] Continual Learning in Deep Neural Networks Lyle Ungar (University of Pennsylvania), [intermediate] Natural Language Processing using Deep Learning Bram van Ginneken (Radboud University Medical Center), [introductory/intermediate] Deep Learning for Medical Image Analysis Yu-Dong Zhang (University of Leicester), [introductory/intermediate] Convolutional Neural Networks and Their Applications to COVID-19 Diagnosis 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 January 8, 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 January 8, 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 company 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 January 8, 2023. ORGANIZING COMMITTEE: Rashid Bakirov (Bournemouth, local co-chair) Marcin Budka (Bournemouth) Vegard Engen (Bournemouth) Nan Jiang (Bournemouth, local co-chair) Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/2023wi/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. 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://irdta.eu/deeplearn/2023wi/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: Bournemouth University Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From B.Ramesh at westernsydney.edu.au Mon Dec 19 05:08:46 2022 From: B.Ramesh at westernsydney.edu.au (Bharath Ramesh) Date: Mon, 19 Dec 2022 10:08:46 +0000 Subject: Connectionists: World's first Master of Neuromorphic Engineering courses Message-ID: Dear Engineers, scientists, computational neuroscience enthusiasts, The International Centre for Neuromorphic Systems, Western Sydney University, invites both domestic and international students to apply for the world?s first Master of Neuromorphic Engineering courses. We offer several programs, including a Graduate Certificate, a Graduate Diploma, a 1.5-year industry-oriented degree and a two-year research-oriented Master?s course in Neuromorphic Engineering. We seek dedicated, curious and open-minded scientists, engineers, physicists, electronics tinkerers, hardware and software hackers, and roboticists from diverse backgrounds. The course builds on the research background of our Neuromorphic Engineering and Event-Based Processing research staff. Successful applicants will receive significant mentorship. Mentors and course instructors will equip students with special digital vision and audition processing capabilities which are rarely taught at other Universities in the world. Mentors and instructors will provide students with opportunities to apply skills learned to practical projects which align with industry need. Although the post graduate courses will equip graduates with many in-demand machine-learning techniques, Neuromorphic Engineering researchers go beyond status-quo Machine Learning so that they can find solutions to issues that block progress in AI machine learning sensing and computer vision. Neuromorphic Engineering seeks to progress beyond failures in regular machine learning approaches as conventional approaches usually fail to generalise, are not environmentally sustainable, and are poorly suited to high-stakes time-critical low-powered applications. Currently demonstrated applications of Neuromorphic Engineering range from space tracking, intelligent sensing, online learning, one-shot learning, computer vision, computer listening, anomaly detection, remote sensing, lightning characterisation, surveillance applications, biological modelling and medicine. The course is currently accepting applications for 2023 entry. If you are considering any of these courses, we recommend applying now. The application deadline is February 2023. For more information about the course, please visit: Master of Applied Neuromorphic Engineering | Western Sydney University https://student-westernsydney.studylink.com/index.cfm?event=security.showLogin&msg=eventsecured&fr=sp&en=default HOW TO APPLY: Submitting an online application is easy and free for Australian and New Zealand students. Applications for students we sincerely welcome applications outside of Australia and these external applications require a small processing fee. Successful applicants will be eligible for an Australian student VISA. Simply click on THIS LINK> and follow the instructions. Western Sydney has a five-star ranking in 5-star ranking in: Teaching, Employability, Internationalisation, Facilities, Innovation, Inclusiveness Western Sydney is Ranked 1st in the world for commitment to the U.N. Sustainable Development Goals (SDGs). Furthermore, it is ranked 3rd in the world for SDG 5: Gender Equality and 4th in the world for SDG 10: Reducing Inequalities. See this link for more information: https://www.westernsydney.edu.au/future/why-western/global-rankings#overall For any questions, please do not hesitate to get in touch. Bharath Ramesh, PhD b.ramesh at westernsydney.edu.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From fzenke at gmail.com Mon Dec 19 05:51:32 2022 From: fzenke at gmail.com (Friedemann Zenke) Date: Mon, 19 Dec 2022 11:51:32 +0100 Subject: Connectionists: Post-doc position with Friedemann Zenke at the FMI, Switzerland Message-ID: <5f6a35f4-d824-1849-1097-95096d61917a@gmail.com> The Computational Neuroscience Group, led by Friedemann Zenke at the Friedrich Miescher Institute in Basel, Switzerland (www.fmi.ch), is looking for a post-doctoral researcher. Position available from the beginning of 2023 (or later). Topics of interest include ??? ? Learning algorithms (bio-inspired self-supervised learning and credit assignment) ??? ? Spiking neural networks (sparsity, neuronal complexity, efficient training) ??? ? Continual learning (synaptic consolidation and circuit mechanisms) ??? ? Neuromorphic computing (online learning and dynamic neural networks) ??? ? Information representation in biological and artificial neural networks See www.zenkelab.org for more information. The position ??? ? Conduct research in computational neuroscience and bio-inspired machine intelligence. ??? ? Write research articles and present them at international conferences. ??? ? Publish in neuroscience journals and machine learning venues such as ICML, NeurIPS, ICLR, etc. ??? ? Interact and collaborate with experimental neuroscience groups or neuromorphic hardware developers nationally and internationally. Ideal profile ??? ? You are passionate about neural networks and enjoy tackling difficult research questions. ??? ? You hold a Ph.D. from a related discipline and are a team player. ??? ? You have published and possess solid analytical and programming skills. ??? ? Fluency in English, both spoken and written, is required. We offer ??? ? A diverse international work environment with room to develop one's project. ??? ? The option to collaborate with leading experimental groups in circuit neuroscience. ??? ? A vibrant lab environment with the possibility to acquire supervision experience if desired. ??? ? Opportunities to travel to international conferences or summer schools. ??? ? Competitive salary, professional career development, benefits, and working conditions. For more details, see https://www.fmi.ch/education-careers/postdoc-activities/. Application If interested, please get in touch with friedemann.zenke at fmi.ch. Please include: ??? ? CV (including publication list) ??? ? A brief statement of research interest ??? ? Contact details of two to three references -- www.zenkelab.org From d.goyer at fz-juelich.de Mon Dec 19 05:48:26 2022 From: d.goyer at fz-juelich.de (Dr. David Goyer) Date: Mon, 19 Dec 2022 11:48:26 +0100 Subject: Connectionists: =?utf-8?q?New_Book=3A_Introducing_Computation_to_?= =?utf-8?q?Neuroscience_=E2=80=93_Selected_Papers_of_George_Gerstein?= Message-ID: <7efe7e1a-89d9-f75c-851d-3216293d92c8@fz-juelich.de> Prof. Sonja Gr?n (INM-6, INM-10 & IAS-6; J?lich Research Center), together with colleagues Profs. A. Aertsen, P.E. Maldonado and G. Palm, recently published the book ?Introducing Computation to Neuroscience ? Selected Papers of George Gerstein ?. George Gersteinhad his roots in physics and was known for his long-term commitmentto transformingneuroscience intoa field ofmore rigorous science, like physics was at the time. With this, hewas miles ahead of the ?eld, consistently striving for quantitative analyses, mechanistic models, and conceptual clarity. Eventually, he pioneeredwhat we now know asComputational Neuroscience-many years before the term was coined. But the overarching goal of George Gerstein?s research was always to understand the functional organization of neuronal networks in the brain. Prof. Gr?n and the editors nowhave compiled a selection of George Gerstein?s many seminalexperimental, theoretical andcomputational contributions to neuroscience into a single, comprehensive volume. They also provide a fresh view on the subjects of his work, as several of George Gerstein?s former students and collaborators kindly contributed introductionsto various chapters.This does not onlyframethe papers in their historical and present context, it alsoaddsthepersonal touch of their involvement in generating the papersand gives a glimpse into lab life. The book itselfis organized?intoa series of chapters with differentsubjects, each one containing reprintsof George Gerstein?s papersin chronological order. Thereby, each of these chapters traces the developmentof George Gerstein?s seminal contributions to the Neurosciences, be it in the domain of neuron and network modeling or in the area of neuronal data analysis techniques. In the words of the editors: "/We hope that, taken together, these various Chapters and their Introductions will help the reader appreciate how much our current thinking on brain function owes to George Gerstein?s research and the insights gained from it. George was not only an innovative thinker in theory, experiment and analysis methodology, he also inspired by his mode of thinking science. Thus, in a way, this book is both a product of this inspiration and a tribute to it./" -- Dr. David Goyer Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich Germany phone: +49-1756402993 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 5335 bytes Desc: S/MIME Cryptographic Signature URL: From hugo.o.sousa at inesctec.pt Mon Dec 19 07:26:27 2022 From: hugo.o.sousa at inesctec.pt (Hugo Oliveira Sousa) Date: Mon, 19 Dec 2022 12:26:27 +0000 Subject: Connectionists: =?windows-1252?q?Text2Story=40ECIR=9223_Call_for_?= =?windows-1252?q?Participation?= Message-ID: *** Apologies for cross-posting *** ++ CALL FOR PAPERS ++ **************************************************************************** Sixth International Workshop on Narrative Extraction from Texts (Text2Story'23) Held in conjunction with the 45th European Conference on Information Retrieval (ECIR'23) April 2nd, 2023 - Dublin, Ireland Website: https://text2story23.inesctec.pt **************************************************************************** ++ Important Dates ++ - Submission deadline: January 23rd, 2023 - Acceptance Notification Date: March 3rd, 2023 - Camera-ready copies: March 17th, 2023 - Workshop: April 2nd, 2023 ++ Overview ++ Recent years have shown a stream of continuously evolving information making it unmanageable and time-consuming for an interested reader to track and process and to keep up with all the essential information and the various aspects of a story. Automated narrative extraction from text offers a compelling approach to this problem. It involves identifying the sub-set of interconnected raw documents, extracting the critical narrative story elements, and representing them in an adequate final form (e.g., timelines) that conveys the key points of the story in an easy-to-understand format. Although, information extraction and natural language processing have made significant progress towards an automatic interpretation of texts, the problem of automated identification and analysis of the different elements of a narrative present in a document (set) still presents significant unsolved challenges ++ List of Topics ++ In the sixth edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established models, as well as in modern architectures (e.g., transformers) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: * Narrative Representation Models * Story Evolution and Shift Detection * Temporal Relation Identification * Temporal Reasoning and Ordering of Events * Causal Relation Extraction and Arrangement * Narrative Summarization * Multi-modal Summarization * Automatic Timeline Generation * Storyline Visualization * Comprehension of Generated Narratives and Timelines * Big Data Applied to Narrative Extraction * Personalization and Recommendation of Narratives * User Profiling and User Behavior Modeling * Sentiment and Opinion Detection in Texts * Argumentation Analysis * Bias Detection and Removal in Generated Stories * Ethical and Fair Narrative Generation * Misinformation and Fact Checking * Bots Influence * Narrative-focused Search in Text Collections * Event and Entity importance Estimation in Narratives * Multilinguality: Multilingual and Cross-lingual Narrative Analysis * Evaluation Methodologies for Narrative Extraction * Resources and Dataset Showcase * Dataset Annotation for Narrative Generation/Analysis * Applications in Social Media (e.g. narrative generation during a natural disaster) * Language Models and Transfer Learning in Narrative Analysis * Narrative Analysis in Low-resource Languages ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset (published at ECIR'21) under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks including the study of news coverage about the COVID-19 pandemic. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 ++ Submission Guidelines ++ We invite two kinds of submissions: * Full papers (up to 7 pages + references): Original and high-quality unpublished contributions on the theory and practical aspects of the narrative extraction task. Full-papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. * Work in progress, demos and dissemination papers (up to 4 pages + references): unpublished short papers describing work in progress; demo and resource papers presenting research/industrial prototypes, datasets or software packages; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Organizing committee ++ Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar, Tomar, Portugal) Al?pio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ Jo?o Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior) Concei??o Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ ?lvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) Antoine Doucet (Universit? de La Rochelle) Ant?nio Horta Branco (University of Lisbon) Arian Pasquali (CitizenLab) Bart Gajderowicz (University of Toronto) Bego?a Altuna (Universidad del Pa?s Vasco) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST & INESC-ID, University of Lisbon) Daniel Loureiro (Cardiff University) Dennis Aumiller (Heidelberg University) Dhruv Gupta (Norwegian University of Science and Technology) Dyaa Albakour (Signal UK) Evelin Amorim (INESC TEC) Henrique Cardoso (INESC TEC & University of Porto) Ismail Altingovde (Middle East Technical University) Jo?o Paulo Cordeiro (INESC TEC & University of Beira Interior) Kiran Bandeli (Walmart Inc.) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Marc Finlayson (Florida International University) Marc Spaniol (Universit? de Caen Normandie) Moreno La Quatra (Politecnico di Torino) Nuno Guimar?es (INESC TEC & University of Porto) Pablo Gamallo (University of Santiago de Compostela) Pablo Gerv?s (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de ?vora) Paul Rayson (Lancaster University) Raghav Jain (Indian Institute of Technology, Patna) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) S?rgio Nunes (INESC TEC & University of Porto) Simra Shahid (Adobe's Media and Data Science Research Lab) Sriharsh Bhyravajjula (University of Washington) Udo Kruschwitz (University of Regensburg) Veysel Kocaman (John Snow Labs & Leiden University) ++ Contacts ++ Website: https://text2story23.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2023 at easychair.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Mon Dec 19 12:04:28 2022 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Mon, 19 Dec 2022 18:04:28 +0100 Subject: Connectionists: [Jobs] 2 Year independent Postdoc at the Institute for Neural Computation, Bochum, Germany In-Reply-To: <20221102110005.GB3743@curry> Message-ID: The Institute for Neural Computation of the Faculty for Informatics is looking for a postdoc (m,f,x) in the field of Computational Neuroscience for 2 years, 39.83 hours per week, E13 TVL The Institute for Neural Computation is part of the Faculty of Computer Science at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. There is an open position for a postdoc in the group ?Theory of Neural Systems? of Prof. Dr. Laurenz Wiskott to be filled as soon as possible. The position is planned for two years with salary level 100% TV-L E13, the standard German salary for postdocs. This position offers the opportunity to develop your own research profile and establish an independent research group. The research topic should be in the field of computational neuroscience on a system level, in particular modeling the visual system, episodic memory, or navigation in mammals. Collaborations with colleagues at the institute are welcome. extent: full-time duration: temporary beginning: as soon as possible application deadline: 21.11.2022 Your tasks: Independent research projects and publications. Acquiring third party funding. Teaching. A lot of room for own ideas and initiatives. Supervising student projects and your own PhD projects. Active participation in the local research environment. Your profile: Active participation in the local research environment. Solid knowledge in Computational Neuroscience. Potential to develop an original independent research agenda in one of the above-mentioned topics. Our offerings: An interesting interdisciplinary environment in the field of experimental and computational neuroscience / machine Learning. Opportunity to develop an independent research profile and your own research group. Opportunity to pursue further scientific qualification. A lot of room for own ideas and initiatives. Additional information: At the request of the applicant (m,f,x), the staff council may be involved in selection interviews. The load of teaching will be calculated according to ? 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia). The Ruhr-Universit?t Bochum is one of Germany?s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is RUB?s declared aim. The Ruhr-Universit?t Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universit?t Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome. Contact details for your application: Prof. Dr. Laurenz Wiskott, Phone: +49234 32 27997 Travel expenses for interviews cannot be refunded. For information on the collection of personal data in the application process see: https://www.ruhr-uni-bochum.de/en/information-collection-personal-data-application-process. ANR: 1267 until 2023-01-02 Applications (CV, transcript of records for PhD, MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott at rub.de. Official job announcement: https://jobs.ruhr-uni-bochum.de/jobposting/360e82936d27d5749b276888153c2cb1a6e54c1a0?ref=homepage From maanakg at gmail.com Mon Dec 19 13:48:36 2022 From: maanakg at gmail.com (Maanak Gupta) Date: Mon, 19 Dec 2022 12:48:36 -0600 Subject: Connectionists: Call for Papers: ACM Workshop on Secure and Trustworthy Cyber-Physical Systems Message-ID: Dear Colleagues, Please consider submitting and/or forwarding to the appropriate groups/personnel the opportunity to submit to the ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS 2023), which will be held in Charlotte, NC, USA (or virtually) on April 26, 2023 in conjunction with the 13th ACM Conference on Data and Application Security and Privacy (CODASPY 2023). *** Paper submission deadline: December 29, 2022 *** *** Website: https://sites.google.com/view/sat-cps2023 *** SaT-CPS aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. Example topics of interest are given below, but are not limited to: - Secure CPS architectures - Authentication mechanisms for CPS - Access control for CPS - Key management in CPS - Attack detection for CPS - Threat modeling for CPS - Forensics for CPS - Intrusion and anomaly detection for CPS - Trusted-computing in CPS - Energy-efficient and secure CPS - Availability, recovery, and auditing for CPS - Distributed secure solutions for CPS - Metrics and risk assessment approaches - Privacy and trust - Blockchain for CPS security - Data security and privacy for CPS - Digital twins for CPS - Wireless sensor network security - CPS/IoT malware analysis - CPS/IoT firmware analysis - Economics of security and privacy - Securing CPS in medical devices/systems - Securing CPS in civil engineering systems/devices - Physical layer security for CPS - Security on heterogeneous CPS - Securing CPS in automotive systems - Securing CPS in aerospace systems - Usability security and privacy of CPS - Secure protocol design in CPS - Vulnerability analysis of CPS - Anonymization in CPS - Embedded systems security - Formal security methods in CPS - Industrial control system security - Securing Internet-of-Things - Securing smart agriculture and related domains The workshop is planned for one day, April 26, 2023, on the last day of the conference. Instructions for Paper Authors All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. All papers must be submitted electronically via the Easychair system: https://easychair.org/conferences/?conf=acmsatcps2023 Full-length papers Papers must be at most 10 pages in length in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template). Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the ACM Digital Library. The presenter must register for the workshop before the deadline for author registration. Position papers and Work-in-progress papers We also invite short position papers and work-in-progress papers. Such papers can be of length up to 6 pages in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template), and must clearly state "Position Paper" or "Work in progress," as the case may be in the title section of the paper. These papers will be reviewed and accepted papers will be published in the conference proceedings. Important Dates Due date for full workshop submissions: December 29, 2022 Notification of acceptance to authors: February 9, 2023 Camera-ready of accepted papers: February 17, 2023 Workshop day: April 26, 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.passarella at iit.cnr.it Tue Dec 20 02:40:01 2022 From: a.passarella at iit.cnr.it (Andrea Passarella) Date: Tue, 20 Dec 2022 08:40:01 +0100 (CET) Subject: Connectionists: CFP - OSNeHM 2023 (co-located with The Web Conf): Workshop on Online Social Networks in the Human-centric Metaverse Message-ID: <20221220074001.25F85163008F@magneto.iit.cnr.it> ******************************************************************** CALL FOR PAPERS ACM OSNeHM 2023 First International workshop on Online Social Networks in the Human-centric Metaverse co-located with The Web Conference 2023 Austin, Texas, USA APRIL 30 - MAY 4, 2023 https://osnehm.iit.cnr.it/ ******************************************************************** NEXT DEADLINES (all deadlines are AoE) ******************************************************************** 23rd January 2023: Abstract submission deadline 6th February 2023: Workshop paper submission deadline ******************************************************************** SUBMISSION LINK ******************************************************************** https://easychair.org/conferences/submissions?a=29997356 ******************************************************************** SCOPE AND OVERVIEW __________________ The cyber and physical worlds are increasingly becoming indistinguishable. This is fostered by enabling technologies such as IoT and pervasive networks, advanced data management and analytics techniques, and advanced platforms with massive diffusion, chiefly among them Online Social Networks. Whatever we do in one world has immediate consequences on the other world, thanks to a constant flow of data - and online analytics - between the two worlds. In this context, the vision of the Metaverse provides additional perspectives, augmenting human interactions with things and other humans across the two worlds. The role of the humans in this socio-technical complex system is key, and still largely unexplored. Quite interestingly, while new tools characteristic of the cyber-physical world- OSN among them - have been designed to largely extend human capabilities, the real interplay between these tools and human behaviours and cognitive constraints often result in unexpected results. Therefore, while humans are in principle at the center of the cyber-physical convergence and, thus -- in the perspective -- of the Metaverse, the interplay between both worlds and the technical solutions underpinning this convergence are hitherto largely unexplored and yet to be understood. This is a big gap our community should feel, in order to develop cyber-physical worlds (and the Metaverse) as a truly human-centric environment. OSNeHM???s main theme will be the role of Online Social Networks in such a human-centric cyber-physical convergence leading to the Metaverse. It will provide a forum for discussion on early yet principled approaches and results on all aspects related to this theme. A special emphasis will be devoted to the characterisation of the individual and social behaviour of humans, using OSN as ???big data microscopes??? for collecting and analysing big data via robust big data analytics. Papers discussing solutions focusing on the interplay between social and technical (online and offline) worlds will be high welcome. On the other hand, the workshop will welcome papers proposing novel technical solutions to support human-centric approaches to the evolution of OSN in the perspective of the Metaverse. Specific topics of interest include, but are not limited to, the following: * OSNeHM platforms, protocols and applications; * OSN and Metaverse services & applications; * Decentralised, mobile and location-based OSNeHM; * Trust, reputation, privacy and security in OSNeHM; * Dynamics of trends, information and opinion diffusion in OSNeHM; * Fake news, toxicity radicalization and disinformation in OSNeHM; * Detecting, modeling and tackling Online harms in OSNeHM; * Recommendations and advertising in OSNeHM; * Measurement, analysis and modeling of popular OSN (Facebook, Twitter, Instagram, Flickr, etc.), including decentralized ones (e.g., Mastodon, Pleroma, ...); * Data mining, and machine learning in OSNeHM systems; * Social media analysis and social analytics in the perspective of OSNeHM; * Information extraction and search in OSNeHM; * Complex-network analysis of OSNeHM; * Modeling of social behavior through OSN data; * Crowdsourcing and OSNeHM; * Multidisciplinary applications of OSNeHM (economics, medicine, society, politics, homeland security, psychology, etc.) PAPER FORMAT AND SUBMISSION INSTRUCTIONS ________________________________________ Papers that have been previously published or are under review for another journal, conference or workshop will not be considered for publication. Submitted papers should not exceed 12 pages in length (maximum 8 pages for the main paper content + maximum 2 pages for appendixes + maximum 2 pages for references). Papers must be submitted in PDF format according to the ACM template published in the ACM guidelines, selecting the generic ???sigconf??? sample. The PDF files must have all non-standard fonts embedded. Workshop papers must be self-contained and in English. Submissions that do not follow these guidelines may be rejected without review. Further, at least one author of each accepted workshop paper has to register for the main conference. Workshop attendance is only granted for registered participants. Accepted papers will be included in the workshop proceedings, which will be published as companion proceedings of The Web Conference, and indexed according to the main conference policy. Please follow the submission link at: https://easychair.org/conferences/submissions?a=29997356 and select the full name of the workshop in the submission list. AWARDS AND EDITORIAL FOLLOW-UPS _______________________________ We will consider assigning a best paper award. We will organise a special issue on the Elsevier Online Social Networks and Media (OSNEM) Journal https://www.journals.elsevier.com/online-social-networks-and-media/ soliciting submissions of extended versions of particularly promising papers. OSNEM is a recent yet very well-reputed (Q1 SJR) journal covering, among others, 100% of the workshop topics. IMPORTANT DATES (all deadlines are AoE) _______________ 23rd January 2023: Abstract submission deadline 6th February 2023: Workshop paper submission deadline 6th March 2023: Workshop paper (acceptance) notification 20th March 2023: Workshop papers camera-ready deadline 31st March 2023: Final program (with duration) provided to Workshop Track leads 1st or 2nd May 2023: Workshops at WWW2023 ORGANISING COMMITTEE ____________________ Workshop chairs: * Marco Conti, IIT-CNR, Italy * Andrea Passarella, IIT-CNR, Italy * Jussara M. Almeida, Universidade Federal de Minas Gerais, Brazil * Arkaitz Zubiaga, Queen Mary University of London, UK Technical Program Committee (TBC) For more information, please write to the workshop co-chairs at osnehm23 iit cnr it From wduch at umk.pl Tue Dec 20 06:54:01 2022 From: wduch at umk.pl (Wlodek Duch) Date: Tue, 20 Dec 2022 12:54:01 +0100 Subject: Connectionists: AI and neuroinformatics for understanding biological intelligence (special track at ICAISC 2023). Message-ID: The International Conference on Artificial Intelligence and Soft Computing ICAISC 2023, organized for the 22nd time,will be held in Zakopane (situated in the High Tatra mountains), Poland inJune 18-22, 2023. Artificial Intelligence and Machine Learning is strongly connected to computational neuroscience and brain research. Many leading AI researchers believe that further development of AI depends on our understanding of biological intelligence based on the processes in the brain. Interaction between AI and neuroscience goes both ways, and is highly beneficial to both fields. This year a special track will be devoted to these interactions. Contributions increasing our understanding of biological as well as artificial intelligence are welcomed. This track will cover all topics pertaining to biological inspirations of artificial intelligence, computational methods for simulation of intelligent behavior, analysis of brain processes, neuroimaging data and electrophysiological measurements, brain-computer interfaces, and all kinds of neurocognitive technologies. See the ICAISC webpage for general information about the conference:https://icaisc.eu/ Submission date (extended abstract): 30.01.2023. Organized by W?odzis?aw Duch, Neurocongitive Laboratory, CMIT, Nicholaus Copernicus University, Ludovico Minati, Center for Mind/Brain Sciences (CIMeC), University of Trento, Italy Luis Alexandre, Departamento de Inform?tica, Universidade da Beira Interior, Portugal -- Prof. W?odzis?aw Duch Fellow, International Neural Network Society Past President, European Neural Network Society Head, Neurocognitive Laboratory, CMIT NCU, Poland Google: Wlodzislaw Duch -------------- next part -------------- An HTML attachment was scrubbed... URL: From kai.sauerwald at fernuni-hagen.de Tue Dec 20 07:26:51 2022 From: kai.sauerwald at fernuni-hagen.de (Kai Sauerwald) Date: Tue, 20 Dec 2022 13:26:51 +0100 Subject: Connectionists: [CFP] Uncertain Reasoning Special Track at The 36th International FLAIRS Conference (UR@FLAIRS-36) Message-ID: <200a5135-7b1e-8c3d-a9e4-0b388816f361@fernuni-hagen.de> *** Second Call for Papers *** ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Uncertain Reasoning (UR) Special Track at The 36th International FLAIRS Conference (FLAIRS-36) In cooperation with the American Association for Artificial Intelligence Clearwater Beach, Florida, USA May 14-17, 2023 Abstract submission deadline: February 6, 2023 Paper submission deadline: February 13, 2023 Notification: March 13, 2023 All accepted papers will be included in the FLAIRS proceedings published by Florida Online Journals Invited papers will be published in a special journal issue http://ur-flairs.github.io/2023/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Call For Papers The Special Track on Uncertain Reasoning (UR) is the oldest track in FLAIRS conferences, running annually since 1996. The UR Special Track at the 36th International Florida Artificial Intelligence Research Society Conference (FLAIRS-36) is the 28th in the series. Like the past tracks, UR seeks to bring together researchers working on broad issues related to reasoning under uncertainty. Topics of Interest Papers on all aspects of uncertain reasoning are invited. Papers of particular interest include, but are not limited to: *Uncertain reasoning formalisms, calculi and methodologies *Reasoning with probability, possibility, fuzzy logic, belief function, vagueness, granularity, rough sets, and probability logics *Modeling and reasoning using imprecise and indeterminate information, such as: Choquet capacities, comparative orderings, convex sets of measures, and interval-valued probabilities *Exact, approximate and qualitative uncertain reasoning *Probabilistic graphical models of uncertainty such as: Bayesian networks, Markov random field, probabilistic circuits *Multi-agent uncertain reasoning and decision-making *Decision-theoretic planning and Markov decision process *Temporal reasoning and uncertainty *Non-monotonic reasoning *Conditional Logics *Argumentation *Belief change and merging *Similarity-based reasoning *Ontologies and description logics *Construction of models from elicitation, data mining and knowledge discovery *Uncertain reasoning in information retrieval, filtering, fusion, diagnosis, prediction, situation assessment *Uncertain reasoning in data management *Practical applications of uncertain reasoning *Learning probabilistic models *Applications in computer vision and animation === Paper Submission and Publication === Submitted papers must be original, and not submitted concurrently to a journal or another conference while under review. Interested authors should format their papers according to FLAIRS-36 conference formatting guidelines. Papers should not exceed 6 pages (4 pages for a poster) and are due by February 13, 2023. The reviewing is a double blind process. Author names and affiliations must be omitted on submitted papers. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-36.info/). Authors should indicate the Uncertain Reasoning special track for submissions. All accepted papers will be included in the proceedings of FLAIRS, which will be published by the Florida Online Journals. FLAIRS requires that there be at least one full author registration per paper. Instructions on the submission procedure are available at the UR website: http://ur-flairs.github.io/2023 We anticipate there will be a special issue devoted to extended versions of selected papers at the track. === Important Dates === Abstract submission due: Feb. 6, 2023 Paper submission due: Feb. 13, 2023 Author Notification: Mar. 13, 2023 === Program Committee === [ Track Chairs ] Kai Sauerwald University of Hagen, Germany Choh Man Teng Institute for Human and Machine Cognition, USA [ PC Members ] Mohand Said Allili (Universit? du Qu?bec en Outaouais) Alessandro Antonucci (IDSIA, Switzerland) Ofer Arieli (The Academic College of Tel-Aviv, Israel) Christoph Beierle (FernUniversit?t in Hagen, Israel) Salem Benferhat (University of Artois, France) Stefano Bistarelli (University of Perugia, Italy) Nizar Bouguila (Concordia University, Canada) Martine Ceberio (University of Texas at El Paso, US) Lluis Godo (University of Barcelona, Spain) Christophe Gonzales (LIS, France) Gabriele Kern-Isberner (University of Technology Dortmund, Germany) Vladik Kreinovich (University of Texas at El Paso, US) Philippe Leray (University of Nantes, France) Nicholas Mattei (Tulane University, US) Ralf M?ller (University of L?beck, Germany) Rafael Pe?aloza Nyssen (University of Milano-Bicocca, Italy) Eugene Santos (Dartmouth College, US) Dilip Sarkar (University of Miami, US) Kari Sentz (Los Alamos National Laboratory, US) Karima Sedki (University of Paris 13, France) Karim Tabia (University of Artois, France) Carlo Taticchi (University of Perugia, Italy) === Travel Information === Additional information on the conference locale and travel planning can be found at http://www.flairs-36.info. From demian.battaglia at univ-amu.fr Tue Dec 20 11:11:57 2022 From: demian.battaglia at univ-amu.fr (BATTAGLIA Demian) Date: Tue, 20 Dec 2022 16:11:57 +0000 Subject: Connectionists: Postdoc opening in analysis of complex hippocampal oscillations (Demian Battaglia and Romain Goutagny's FunSy team, Strasbourg) Message-ID: <42f4a2def30b448fa4441aeedf34bb9c@univ-amu.fr> We are currently inviting applications for a full-time postdoc position under the joint co-mentoring of Dr. Demian Battaglia and Dr. Romain Goutagny (University of Strasbourg, France; Functional System's Dynamics team ? FunSy, https://funsyteam.org). The position starts as soon as possible and can last up to two years. This job offer is funded by the French ANR "HippoComp" project, which focuses on the complexity of hippocampal oscillations and the hypothesis that such complexity can serve as computational resource. In our joint FunSy team, we perform electrophysiological recordings in hippocampus and cortex during spatial navigation and memory tasks in mice (wild type and mutant developing various neuropathologies) and have access to vast data through local and international cooperation. Furthermore, we use a large spectrum of computational tools ranging from time-series and network analyses, information theory and machine-learning to multi-scale computational modeling. A good idea about some of the approaches used in the lab can be found in this recent preprint: Douchamps et al. 2022. Hippocampal gamma oscillations form complex ensembles modulated by behavior and learning, bioRxiv (https://doi.org/10.1101/2022.10.17.512498). We are seeking for various profiles of candidates, with main expertise in either computational or experimental neuroscience. Computational project components would deal with numerically-intensive data analyses (dimensional reduction, encoding/decoding, design of discriminative features...). Experimental project components would focus primarily on simultaneous fiber photometry and local-fields potentials recordings, together with the pre-processing of these data. Interested candidates could have hybrid experimental/computational projects. The ideal candidate will have a doctorate in systems or computational neuroscience, with previous experience in the analysis of rich datasets. In addition, we expect programming skills (e.g., Python, C/C++, Matlab), good communication skills in English (oral and written), the ability to work well in an international team, curiosity and open-mindedness. Strasbourg University is home of an emergent and active community in neuroscience, from molecules and cells to whole brain imaging and behavior, in relation with clinics. The proximity with Germany and Switzerland is an asset allowing interactions with transnational Computational and Neuroscience teams. Strasbourg, home of important European institutions, is a small fascinating city with a rich student and cultural life, well connected via high-speed train to important European cities (e.g. less than two hours from Paris). DEADLINE FOR APPLICATION: January 15th 2023 Please send your application, including CV, motivation letter and representative publications (preprints accepted) electronically, to both PIs (Romain Goutagny and Demian Battaglia). In addition, contacts of at least two academic references must be communicated (contact email or recommendation letter attachments). Pre-selected candidates will be interviewed over Zoom or invited to give a talk if possible. We are committed to equal opportunity hiring. We strongly encourage applications from qualified women or candidates from any country. Contact persons: Demian Battaglia, dbattaglia AT unistra.fr Romain Goutagny, goutagny AT unistra.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: From bhammer at techfak.uni-bielefeld.de Wed Dec 21 03:29:22 2022 From: bhammer at techfak.uni-bielefeld.de (Barbara Hammer) Date: Wed, 21 Dec 2022 09:29:22 +0100 Subject: Connectionists: Interdisciplinary Conference on Conversing with AI Message-ID: <4aefa897-02e3-d300-b79f-68b5dec0f430@techfak.uni-bielefeld.de> Conference ?Conversing with artificial intelligence? Dear colleagues, we are happy to invite you to the closing conference of a VolkswagenStiftung funded, four year, interdisciplinary project on conversing with artificial intelligence (www.impact-projekt.de). It will take place from March 6^th to March 7^th in Berlin, close to the Brandenburger Tor (https://www.axica.de/). The conference features three keynotes (Catholijn Jonker, Michael Ann DeVito, Iyad Rahwan), a panel on the ethical and legal implications of AI and a poster session. Participation is free of charge and possible in person or online via zoom. We invite poster presentations on topics related to interaction with artificial intelligence. You can find more information and a form to register at www.impact-projekt.de/#conference . Best wishes, Barbara Hammer -- Prof. Dr. Barbara Hammer Machine Learning Group, CITEC Bielefeld University D-33594 Bielefeld Phone: +49 521 / 106 12115 -------------- next part -------------- An HTML attachment was scrubbed... URL: From RoigNoguera at em.uni-frankfurt.de Wed Dec 21 09:59:41 2022 From: RoigNoguera at em.uni-frankfurt.de (Gemma Roig) Date: Wed, 21 Dec 2022 15:59:41 +0100 Subject: Connectionists: 4 postdoc positions, 1 PhD position and 1 scientific coordinator position to study Abstract Representations in Neural Architectures in humans and machines Message-ID: Hello community! We are happy to announce that the DFG funded research unit ARENA - Abstract Representations in Neural Architectures, situated at Goethe University Frankfurt, the Frankfurt Institute of Advanced Studies (FIAS) and the Max Planck Institute for Software Systems Saarbr?cken, invites applications for 4 Postdoc positions (f/m/d) (E 13, full time), 1 PhD positions (f/m/d) (E 13, full time) and 1 position as scientific coordinator (f/m/d) (E 13, 50 % part time) Preferred starting dates are between February and April, 2023. The duration of contracts will be up to four years. The salary grades will be based on the rules of the institution, at which the respective position is located. ARENA is an interdisciplinary research unit funded by the German Research Foundation (DFG), with seven research projects from the fields of Experimental Psychology, Cognitive Neuroscience, Artificial Intelligence, and Neural Data Science. Our joint research goal is to combine experimental and modeling expertise to improve understanding of how abstract knowledge representations emerge and are coded in different neural architectures - in human brains and in biologically inspired AI models. To this end, we will explore how AI models can be used to better analyze experimental human data - behavioral experiments as well as eye tracking and brain imaging data - and in turn how such human data can be used to improve AI models. Find out more about ARENA at http://neuroai-arena.github.io/ and apply to join our interdisciplinary team to solve these exciting research questions! We are currently seeking enthusiastic and highly motivated team members for the following projects: (1) Bridging Levels of Abstraction in Brains and Natural Language Processing Machines. Project led by Dr. Mariya Toneva, Max Planck Institute for Software Systems, Saarbr?cken (PostDoc position; E13-TV-L, full time, 2+2 years) Although recent deep NLP models have seen a lot of success, they still exhibit several limitations. We posit that these are in part due to the formation of suboptimal abstract representations of language, which are important for faster learning and improved generalization to new tasks. This project will characterize and bridge the levels of linguistic abstraction between human brains and deep NLP models by combining large-scale neuroimaging datasets, behavioral data, and computational modeling. The ideal candidate should have experience analyzing brain recordings (fMRI, MEG) obtained from language stimuli, strong computational and programming skills (python, pytorch/tensorflow), and some experience with training transformer models. For further information please contact Mariya Toneva at mtoneva at mpi-sws.org . (2) Emergence of Abstract Representations in Contextualized Multimodal Models. Project led by Prof. Dr. Gemma Roig, Department of Computer Science, Goethe University Frankfurt (PhD position; E13-TV-G-U, full time, 3+1 years) The goals of this project include developing multimodal deep neural networks by integrating different perceptual modalities; to analyze and study the formation of abstract representations in those models, and then, use those models as computational models to understand how abstract representations are formed in the brain. Close interactions with all other projects within the ARENA unit are expected. The ideal candidate should have strong knowledge in machine learning (deep learning, RNN, LSTMs, Transformers, multimodal models), excellent programming skills in python, and extensive experience in Tensorflow, pyTorch or related libraries; knowledge of high performance distributed computing with GPUs. For further information please contact Gemma Roig at roig at cs.uni-frankfurt.de (3) Hierarchical Organization of Distributed Semantic Knowledge in the Human Language System. Project led by Prof. Dr. Christian Fiebach, Department of Psychology, Goethe University Frankfurt (PostDoc position; E13-TV-G-U, full time, 4 years) The nature and format of semantic representations in the human brain have so far not yet been fully understood. This project aims at investigating in depth the underlying computational principles as well as neuroanatomical localization of lexical-semantic and conceptual-semantic representations at various levels of abstraction, by combining functional MRI and magnetoencephalography with embedding and other NLP models. A main goal of this project is to establish a comprehensive large-scale human neuroimaging dataset, which will be shared within ARENA and publicly. The ideal candidate has expertise in human functional neuroimaging, strong statistical and computational skills (data analysis with python, matlab, or similar tools), and should be motivated to learn and apply computational modeling. For further information please contact Christian Fiebach at fiebach at psych.uni-frankfurt.de . (4) The Hierarchical Structure of Abstract Scene Representations; project led by Prof. Dr. Melissa V?, Department of Psychology, Goethe University Frankfurt (PostDoc position; E13-TV-G-U, full time, 4 years) The aim of this project is to understand the emergence and composition of abstract representations of objects in real-world scenes which allow for efficient behavior. We intend to pursue this aim by systematically probing the existence of a hierarchical structure in scene grammar using different input modalities and different tasks. Thanks to the multi-disciplinary composition of ARENA, we will be able to run a diverse set of studies, joining forces with our colleagues from computer science. While the PostDoc candidate should bring along strong skills with regard to state-of-the-art EEG and/or eye tracking in VR methodologies, great interest in acquiring new computational skills will also be key. For further information please contact Melissa V? at mlvo at psych.uni-frankfurt.de . (5) Navigating Knowledge Spaces Using Cognitive Maps; project led by Prof. Dr. Matthias Kaschube, Frankfurt Institute for Advanced Studies (PostDoc or PhD position; E13-TV-H, full time, 4 years) The goal of this project is to explore the computational benefits of low- dimensional cognitive maps in brains and artificial neural networks. For this purpose, the proposal links the concept of cognitive maps with state-of-the-art generative models, such as, for instance, GANs. Within ARENA, we will study this in the context of category learning as well as learning the statistics of object co-occurrences in visual scenes using computational models that are tightly linked to behavioral experiments in humans. The ideal candidate should have strong computational and programming skills (python, pytorch/tensorflow), some experience with deep generative models and with the analysis of brain imaging data. Close interactions with all other projects within the ARENA unit are expected. For further information please contact Matthias Kaschube at kaschube at fias.uni-frankfurt.de . Candidates with interdisciplinary expertise at the intersection of cognitive science, neuroscience, and computer science ? or a high motivation to extend their knowledge in this interdisciplinary field ? are particularly welcome. PostDoctoral candidates should have a University degree and a very good doctorate in the specified or related fields, as well as expertise in experimental techniques and/or advanced data analysis methods. For doctoral positions, applications are invited from students with an excellent master?s degree in computer science, AI, or related disciplines. All applicants must be fluent in English. We are furthermore seeking (6) A Scientific Coordinator (E 13 TV-G-U, part time 50%) who will support the research conducted in the unit by a number of centrally coordinated measures, including (a) internal, national, and international scientific cooperation and networking (organization of colloquia, retreats, guest visits), (b) training and career development of early career researchers (workshops, equal opportunity measures, lab visits, etc.), (c) research data management and quality assurance, (d) reporting, and (e) strategic development of the research unit. The ideal candidate for this position has a scientific background (University degree and PhD in computer science, psychology, neuroscience or a relate area), high skills in organization and communication, very good strategic and analytical abilities, as well as very good English skills. Experience with or interest in research data management and open science are a plus. The scientific coordinator will closely collaborate with the speaker of the unit, Prof. Christian Fiebach, and all principle investigators of the ARENA unit. For further information please contact Christian Fiebach at fiebach at psych.uni-frankfurt.de . The ARENA research unit is a collaborative project of Goethe University Frankfurt, Germany, the Frankfurt Institute of Advanced Studies, both part of a vibrant cognitive science/neuroscience community, and the Max Planck Institute for Software Systems in Saarbr?cken, Germany, one of the leading institutes in human-centered AI. ARENA researchers will have access to state-of-the-art research facilities, including laboratory facilities for human behavioral and brain imaging studies and dedicated GPU computing resources. Further details can be found at http://neuroai-arena.github.io/. Goethe University, FIAS, and the Max Planck Institute are committed to a policy of providing equal employment opportunities for both men and women alike, and we therefore encourage particularly women to apply for the position/s offered. Individuals with severe disability will be prioritized in case of equal aptitude and ability. If you are interested in joining ARENA, please send a CV, a statement of research interests, one (PhD positions) or two (PostDoc positions) publications, and the names and contact details of at least two academic references? (all in one pdf document) until 11.01.2023 to neuroai.arena at gmail.com . In your application, please specify the project(s) you are particularly interested in and cc your application to the respective principle investigators specified above. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nadine.spychala at gmail.com Wed Dec 21 12:30:28 2022 From: nadine.spychala at gmail.com (Nadine Spychala) Date: Wed, 21 Dec 2022 17:30:28 +0000 Subject: Connectionists: ALIFE 2023 - Call for Papers, Workshops & Tutorials Message-ID: Dear colleagues, *The* *International Conference on Artificial Life* - ALIFE 2023 - is looking for proposals for - *papers,* - *extended abstracts*, - *workshops* and - *tutorials*. ALIFE 2023 will take place in *Sapporo*, *Japan*, *July 24 - 28th*,* 2023*, and will be a* hybrid* conference: primarily focused on-site, at Hokkaido University, while also allowing for online participation. The *conference theme* is ?*Ghosts in the Machine*?. Traditionally, Artificial Life research has sought to uncover the mysteries of life and the mind, that is, to naturalise the ?ghosts in the machine?: What is life? What is the mind? At ALIFE 2023, we would like to bring back the focus on the integration of philosophy of mind with theoretical, computational and empirical works in science and engineering that deal with these ghosts. **Deadlines for submission*:* Call for Workshops & Tutorials - *31st January*, *2023* Call for Papers & Extended Abstracts - *3rd March*, *2023* For more details please check the conference website and follow us on Twitter and Facebook. Hope to see you in Sapporo! On behalf of the organizing team, Nadine Spychala -------------- next part -------------- An HTML attachment was scrubbed... URL: From li.zhaoping at tuebingen.mpg.de Wed Dec 21 06:26:42 2022 From: li.zhaoping at tuebingen.mpg.de (Zhaoping Li) Date: Wed, 21 Dec 2022 12:26:42 +0100 Subject: Connectionists: Systems Vision Science Summer School & Symposium: Aug. 14-24, in Tuebingen, Germany Message-ID: *Systems Vision Science Summer school & Symposium, Aug. 14-24, in T?bingen, Germany* *--------------------------------* Applications are invited for a brand new summer school designed foreveryone interested in gaining a systems level understanding ofbiological vision. We plan a coherent, graduate-level, syllabus on theintegration of experimental data with theory and models, featuringlectures, guided exercises and discussion sessions. The summer schoolwill end with a Systems Vision Science symposium on frontier topics,with talks and posters by additional participants. All summer school participants are invited to attend the symposium, and are welcome to submit contributions. *--------------------------------* ***Invited lecturers and speakers 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. *******--------------------------------* Please apply**via_https://summerschool.lizhaoping.org/application_*??? by****?March 31, 2023.* Please check out our webpage_https://summerschool.lizhaoping.org_? to find more out about the program, our invited lecturers/speakers,and other details. Please direct inquiries to___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_***** *__**_www.lizhaoping.org_* -------------- next part -------------- An HTML attachment was scrubbed... URL: From d.kollias at qmul.ac.uk Wed Dec 21 12:33:07 2022 From: d.kollias at qmul.ac.uk (Dimitrios Kollias) Date: Wed, 21 Dec 2022 17:33:07 +0000 Subject: Connectionists: (CfP) AIMIA Workshop and 3rd COV19D Competition in IEEE ICASSP 2023 Message-ID: Dear Colleagues, We are inviting you to participate in the AI-enabled Medical Image Analysis Workshop and 3rd Covid-19 Diagnosis Competition to be held in conjunction with IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) 2023 in Rhodes Island, Greece, 4 ? 9 June, 2023. The 3rd COV19D Competition follows the 1st and 2nd very successful Competitions held in ICCV 2021 and ECCV 2022, respectively. It includes two Challenges: i) COVID19 Detection Challenge and ii) COVID19 Severity Detection Challenge. The 1st Challenge refers to COVID19 and non-COVID19 classification. The 2nd Challenge refers to classification of COVID-19 severity into four categories, i.e., mild, moderate, severe and critical. Both Challenges are based on an extended version of the database used in the 2nd COV19D Competition. There will be one winning team per Challenge. For more details please visit the competition page here. For any requests or enquiries, please contact: stefanos at cs.ntua.gr Organizers: Stefanos Kollias, National Technical University of Athens Xujiong Ye, University of Lincoln Francesco Rundo, STMicroelectronics ADG?Central R&D Dimitrios Kollias, Queen Mary University London Important Dates: The timeline for the competitions will be as follows: December 16, 2022: Opening of the Competition; start of registration of research groups; provision of training and validation datasets March 16, 2022: Submission of results March 17, 2022: Winners announcement March 24, 2022: Paper submission April 14, 2022: Review decisions sent to authors; notifications of acceptance April 28, 2022: Camera ready version All accepted papers will be part of IEEE ICASSP 2023 Conference Proceedings. For registration and further information, please contact d.kollias at qmul.ac.uk Kind Regards, on behalf of the organising committee, Dimitris ======================================================================== 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 ======================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From damien.DEPANNEMAECKER at univ-amu.fr Wed Dec 21 13:45:06 2022 From: damien.DEPANNEMAECKER at univ-amu.fr (DEPANNEMAECKER Damien) Date: Wed, 21 Dec 2022 18:45:06 +0000 Subject: Connectionists: MSc internship offer (dynamical systems for neurosciences) Message-ID: MSc Internship Project: Dynamical study of a mean-field model of neural network activity driven by biophysical ion exchange mechanisms Project description. In neuroscience, the question of scales is central, ranging from the molecule to the whole brain. In theoretical and computational neuroscience, it is possible to model these different scales and to build the link between them [1]. In particular to describe the activity on the scale of a population of neurons by a mean-field approach, capturing some aspects of the corresponding spiking network. A recently derived mean-field model of a biophysical description of neuronal excitability shows abilities to capture synchronized activities observed in pathological states, such as seizures [2]. The system obtained is a compound of coupled differential equations which can be studied by applying timescale separation methods [3, 4]. This model is a candidate to be used within The Virtual Brain [5] for clinical applications. A detailed characterization is therefore essential. Main objectives. 1. To identify the different dynamical regimes of this model, in particular in a parameter configuration corresponding to a healthy state; 2. To determine the different timescales involved in this system; (and possibly) 3. To start a bifurcation study for identified biophysical parameters of interest. Period. Some time in 2023, in accordance with the schedule of the candidate?s courses. Location. One or both of the following addresses: Institut de Neurosciences des Syst??mes AMU Faculty of Medicine 27, Boulevard Jean Moulin 13005 Marseille, France and/or Inria centre at Universit? C?te d?Azur MathNeuro Project team 2004 route des Lucioles - BP 93 06902 Sophia Antipolis, France Supervisors. Damien Depannemaecker (Aix-Marseille Universit?) and Mathieu Desroches (Inria). How to apply. Interested candidates should send a CV and a short motivation letter expressing their interest and skills for this project to: mathieu.desroches at inria.fr and damien.depannemaecker at univ-amu.fr. Selected candidates will be invited to an interview, which may take place online. For candidates requiring a visa for the EU, a period of at least three months is necessary to obtain the documents. Candidate profile. The candidate from an MSc (M2) or an engineering school must have an interest and skills in dynamical systems as well as for neuroscience. Having at least basic programming knowledge (e.g. python or matlab) is necessary for this internship. The involvement and motivation of the candidate, as well as the ability to be organized and proactive, are essential criteria in the selection of the candidate. There could be perspectives of following up with a PhD. References 1. Depannemaecker D, Destexhe A, Jirsa V, Bernard C. Modeling seizures: >From single neurons to networks. Seizure. 2021 Aug;90:4?8. Available from: http://dx.doi.org/10.1016/j.seizure.2021.06.015. 2. Bandyopadhyay A, Rabuffo G, Calabrese C, Gudibanda K, Depannemaecker D, Ivanov A, et al. Mean- field approximation of network of biophysical neurons driven by conductance-based ion exchange. bioRxiv. 2022. Available from: https://www.biorxiv.org/content/early/2022/12/03/2021.10.29.466427. 3. Desroches M, Rinzel J, Rodrigues S. Classification of bursting patterns: A tale of two ducks. PLoS Com- putational Biology. 2022;18(2):e1009752. Available from: https://journals.plos.org/ploscompbiol/ article?id=10.1371/journal.pcbi.1009752. 4. Saggio ML, Spiegler A, Bernard C, Jirsa VK. Fast?Slow Bursters in the Unfolding of a High Codimension Singularity and the Ultra-slow Transitions of Classes. The Journal of Mathematical Neuroscience. 2017 Jul;7(1). Available from: http://dx.doi.org/10.1186/s13408-017-0050-8. 5. The Virtual Brain;. Available from: https://www.thevirtualbrain.org/. -------------- next part -------------- An HTML attachment was scrubbed... URL: From samuel.kaski at manchester.ac.uk Wed Dec 21 13:41:00 2022 From: samuel.kaski at manchester.ac.uk (Samuel Kaski) Date: Wed, 21 Dec 2022 18:41:00 +0000 Subject: Connectionists: A number of positions in Helsinki, Finland and Manchester, UK Message-ID: We are hiring! A number of positions, with great collaborators, in both Helsinki, Finland and Manchester, UK. Postdoc, research fellow, doctoral student, AI Centre Manager, Translational Research Manager. Keywords: Probabilistic machine learning, multi-agent RL, collaborative AI, simulator-based inference, privacy, ML4Science. More details; some food for thought for the holiday season: In Manchester Centre for AI Fundamentals and ELLIS Unit Manchester, University of Manchester, UK: * Postdoc, ML with an outstanding cancer research centre: https://www.jobs.manchester.ac.uk/displayjob.aspx?isPreview=Yes&jobid=24123&advert=external , DL Jan 16; * Doctoral student: https://www.cs.manchester.ac.uk/study/postgraduate-research/research-projects/description/?projectid=33392 * AI Centre Manager: ELLIS Unit Manchester and Manchester Centre for AI Fundamentals https://www.jobs.manchester.ac.uk/internal/displayjob.aspx?jobid=24014 , DL Jan 9, 2023 * Translational Research Manager: A high-profile position setting up AI startup and industry collaboration action of Manchester Centre for AI Fundamentals, UKRI Turing AI World-Leading Resarcher programme and ELLIS Unit Manchester, with new Manchester Turing Innovation Hub initiative. Position open any day now. In Aalto University, Helsinki, Finland; Finnish Centre for Artificial Intelligence FCAI and ELLIS Unit Helsinki: * Postdoc positions in drug design, multi-agent RL, differential privacy in my group: Topics 15-19 at https://www.hiit.fi/fcai-and-project-postdoctoral-researcher-and-research-fellow-positions/ , DL Jan 15. * Postdoc positions with FCAI collaborators : https://fcai.fi/we-are-hiring , DL Jan 15 * Doctoral student positions in my group: Topics 10-14 https://hict.fi/open-positions/ DL Jan 29 . * Assistant Professors of Computer Science https://www.aalto.fi/en/open-positions/assistant-professors-computer-science , DL Jan 15. Machine learning and collaboration at FCAI welcome If you read this far and are uncertain which of these to apply for, apply to one of them and tell in the cover letter that you are interested in my other positions too. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jkrijthe at gmail.com Thu Dec 22 04:28:16 2022 From: jkrijthe at gmail.com (Jesse Krijthe) Date: Thu, 22 Dec 2022 10:28:16 +0100 Subject: Connectionists: [Jobs] Postdoc on Machine Learning for Heterogeneous Causal Effect Estimation Message-ID: We have an open postdoc position to come work with us on machine learning models for heterogeneous effect estimation with applications in cognitive health at Radboud University in Nijmegen, The Netherlands. If you are interested in the intersection of machine learning and causal inference please consider applying (deadline: 8 January 2023). More details and link to the application form here: https://www.ru.nl/en/working-at/job-opportunities/postdoctoral-researcher-for-machine-learning-for-personalised-effect-estimation-of-multi-domain-lifestyle-interventions-in-cognitive-health -------------- next part -------------- An HTML attachment was scrubbed... URL: From suashdeb at gmail.com Wed Dec 21 22:50:59 2022 From: suashdeb at gmail.com (Suash Deb) Date: Thu, 22 Dec 2022 09:20:59 +0530 Subject: Connectionists: 2023 10th lSCMl (Mexico City) Message-ID: Dear friends and esteemed colleagues, Warmest greetings. Hope all is well. Due to the spurt in Coronavirus cases in China, uploading of the website of the 10th edition of ISCMI got delayed to some extent. Our website is maintained from China. Hence this delay. Hope you understand. Currently the website is operational http://www.iscmi.us The leaflet of the same is attached too (it is also available in the website). Thanks a million for all your help and support over the years. I solicit your cooperation in sharing the above with your peers, doctoral students and others. I take this opportunity of wishing all of you and your loved ones a Very Merry Christmas and a Memorable 2023. Kind regards, Suash General Chair, ISCMI 2023 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: ISCMI2023-CFP.pdf Type: application/pdf Size: 375694 bytes Desc: not available URL: From gary.marcus at nyu.edu Thu Dec 22 08:49:33 2022 From: gary.marcus at nyu.edu (Gary Marcus) Date: Thu, 22 Dec 2022 08:49:33 -0500 Subject: Connectionists: AGI Debate with Noam Chomsky and many more + concerns about AI and misinformation Message-ID: <324CBC29-7ED5-4A1A-9C6C-E717FCE74FFD@nyu.edu> Friday December 23 at 5pm ET: Noam Chomsky, J?rgen Schmidhuber, Yejin Choi, Erik Brynjolffson, Kai-Fu Lee, Ben Goertzel, Francesca Rossi, Jeff Clune, Canadian MP Michelle Rempel Garner, and many more on the future of AI, focusing on research directions, ethics and policy (moderated by me): https://agidebate.com. [Recording will be available after at the same website]. Also: my growing concerns about large language models and their potential for vastly accelerating the production of misinformation, with some policy suggestions: https://www.scientificamerican.com/article/ai-platforms-like-chatgpt-are-easy-to-use-but-also-potentially-dangerous/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de Thu Dec 22 09:41:50 2022 From: malini.vinita.samarasinghe at ini.ruhr-uni-bochum.de (Vinita Samarasinghe) Date: Thu, 22 Dec 2022 15:41:50 +0100 Subject: Connectionists: Women in Memory Research - 2023 Message-ID: The event below is for women who are interested in pursuing a PhD in memory research in neuroscience or philosophy. Please be kind enough to pass on this message to interested students. ------------------------------------------------------------------------ Women in Memory Research 2023 Come and learn what an academic career looks likeand discover its advantages. During your week at the Ruhr University Bochum (RUB)you will participate in GEM 2023 ?where you will hear about the latest research in generative episodic memory, be given the opportunityto present your research and meet with female scientists from the field. Before and after GEM you'll be introduced to support structures, funding measures and the FOR 2812 labs . Our participating senior scientists include: Ali Boyle, London School of Economics; Pernille Hemmer, Rutgers University; Peggy St. Jacques, University of Alberta; Kristina Liefke, Ruhr University Bochum; Maria Wimber, University of Glasgow. Sounds exciting? *Who can apply:* Womenmasters students in their final year of study and recently graduated masters students who are looking into an academic career in the area of memory research/neuroscience. Applicants must have excellent grades and be able to communicate in English. Selection of participants is competitive. We only have 12 spots! *How to apply:* Send your application including a one page letter of motivation, a current CV, masters transcripts and a letter of recommendation from one of your professors. Your application should be sent, as a single PDF document, to Vinita Samarasinghe @ for2812+gem at rub.de ?by March 15, 2023 with the subject line "WiMR - application". If you need child care or any other support please note this in your application. Applications will be evaluated and ranked after the deadline has passed and notifications will be sent out by 31.03.2023. If you accept, you must register for GEM 2023. *What to expect from us:* We will provide?bed and breakfast (double room occupancy), cover travel costs (restrictions apply) and provide some meals. The program?is offered in English. *What we expect from you:* You are present for all of the program and that you present your current research in the form of a poster at GEM 2023. *Questions? * Visit our website at https://for2812.rub.de/wimr2023 for more information. Please feel free to get in touch with Vinita Samarasinghe (for2812 at rub.de )?if you have any questions. -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/73 Postfachnummer 110 Universit?tstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe at ini.rub.de -------------- next part -------------- An HTML attachment was scrubbed... URL: From info at icas.cc Thu Dec 22 10:26:35 2022 From: info at icas.cc (ICAS Organizing Committee) Date: Thu, 22 Dec 2022 16:26:35 +0100 Subject: Connectionists: =?utf-8?q?=23ACDL2023=2C_6th_Advanced_Course_on_D?= =?utf-8?q?ata_Science_=26_Machine_Learning_=7C_June_10-14=2C_2023_?= =?utf-8?q?=7C_Riva_del_Sole_Resort_=26_SPA=2C_Castiglione_della_Pe?= =?utf-8?q?scaia_=28Grosseto=29_=E2=80=93_Tuscany=2C_Italy_-_SAVE_T?= =?utf-8?q?HE_DATE?= Message-ID: 6th Advanced Course on #DataScience & #MachineLearning #ACDL2023 | June 10-14, 2023 | Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto), Tuscany, Italy An Interdisciplinary Course: #AI, #DeepLearning & #BigData without Borders Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) - Tuscany, Italy June 10-14, 2023 https://acdl2023.icas.cc acdl at icas.cc *LECTURERS*: Each Lecturer will hold three/four lessons on a specific topic. *PAST LECTURERS*: https://acdl2023.icas.cc/past-lecturers/ * Ioannis Antonoglou, Google DeepMind, UK * ?iga Avsec, DeepMind, London, UK * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Roman Belavkin, Middlesex University London, UK * Yoshua Bengio, University of Montreal, Canada * Bettina Berendt, TU Berlin, Weizenbaum Institute, and KU Leuven * Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation * Chris Bishop, Microsoft, Cambridge, UK, and Laboratory Director at Microsoft Research Cambridge, UK * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Alfredo Canziani, New York University, USA * Silvia Chiappa, DeepMind, London, UK * Giuseppe Di Fatta, University of Reading, UK * Edith Elkind, University of Oxford, UK * Oren Etzioni, Allen Institute for AI, USA, and CEO at Allen Institute for AI * Marco Gori, University of Siena, Italy * Georg Gottlob, Computer Science Dept, University of Oxford, UK * Yi-Ke Guo, Imperial College London, UK * Phillip Isola, MIT, USA * Michael I. Jordan, University of California, Berkeley, USA * Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Ilias S. Kotsireas, Wilfrid Laurier University, Canada * Danica Kragic Jensfel, Royal Institute of Technology, Sweden * Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK * Risto Miikkulainen, University of Texas at Austin, USA * Yukie Nagai, The University of Tokyo, Japan * Peter Norvig, Director of Research, Google * Panos Pardalos, University of Florida, USA * Alex 'Sandy' Pentland, MIT & Director of MIT?s Human Dynamics Laboratory, USA * Jos? C. Principe, University of Florida, USA * Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA * Dolores Romero Morales, Copenhagen Business School, Denmark * Daniela Rus, MIT, USA, and Director of CSAIL * Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA * Guido Sanguinetti, The University of Edinburgh, UK * Cristina Savin, New York University, Center for Neural Science & Center for Data Science, USA * Josh Tenenbaum, MIT, USA * Naftali Tishby, Hebrew University, Israel * Isabel Valera, Saarland University, Germany, and Max Planck Institute for Intelligent Systems, T?bingen, Germany * Mihaela van der Schaar, University of Cambridge, UK * Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands * Oriol Vinyals, Google DeepMind, UK *SCOPE*: The 6th Advanced Course on Data Science & Machine Learning (ACDL) is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia ? Grosseto ? Tuscany, Italy) on cutting-edge advances in Data Science and Deep Learning Learning with lectures delivered by world-renowned experts. The Course provides a stimulating environment for junior and senior academics, early career researches, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial and productive environment. MSc students, PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. To participate in the ACDL 2023, all attendants must (1/2) register for the course (by February 23, 2023) and (2/2) book accommodation at the course venue, ?Riva del Sole Resort & SPA? (by April 9, 2023); all attendants must stay at the ?Riva del Sole Resort & SPA?. Once accommodation has been booked at ?Riva del Sole Resort & SPA?, the participant must send this information to the ACDL organizing committee (acdl at icas.cc). *VENUE & ACCOMMODATION*: Riva del Sole Hotel & Spa https://acdl2023.icas.cc/venue/ https://acdl2023.icas.cc/accommodation/ *PAST EDITIONS*: https://acdl2023.icas.cc/past-editions/ https://acdl2022.icas.cc https://acdl2021.icas.cc/ https://acdl2018.icas.xyz https://acdl2019.icas.xyz https://acdl2020.icas.xyz/ *REGISTRATION*: https://acdl2023.icas.cc/registration/ Anyone interested in participating in ACDL 2023 should register as soon as possible! Similarly for accommodation at the Riva del Sole Resort & SPA (the course Venue), book your full board accommodation at the Riva del Sole as soon as possible! All course participants must stay at the Riva del Sole Resort & SPA. See you in Riva del Sole next June! ACDL 2023 Organizing Committee. acdl at icas.cc https://acdl2023.icas.cc https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences -------------- next part -------------- An HTML attachment was scrubbed... URL: From maxime.amblard at univ-lorraine.fr Thu Dec 22 10:01:21 2022 From: maxime.amblard at univ-lorraine.fr (Maxime Amblard) Date: Thu, 22 Dec 2022 16:01:21 +0100 Subject: Connectionists: Call For Workshop - IWCS 2023 Message-ID: <82CC851C-5E95-4400-810E-7E21410DCC68@univ-lorraine.fr> === Call for workshop proposals IWCS 2023 === Workshop submissions: 23 January 2023 https://softconf.com/iwcs2023/IWCS-worshop/ ===================================== 15th International Conference on Computational Semantics (IWCS) Universit? de Lorraine, France 20-23th June 2023 http://iwcs2023.loria.fr/ IWCS is the biennial meeting of SIGSEM [1], the ACL special interest group on semantics [2]; this year's edition is organized in person by the Loria [3] and IDMC [4] of the Universit? de Lorraine. [1] http://sigsem.org/ [2] http://aclweb.org/ [3] https://www.loria.fr/fr/ [4] http://idmc.univ-lorraine.fr/ The aim of the IWCS conference is to bring together researchers interested in any aspects of the computation, annotation, extraction, representation and neuralisation of meaning in natural language, whether this is from a lexical or structural semantic perspective. IWCS embraces both symbolic and machine learning approaches to computational semantics, and everything in between. The conference and workshops will take place 20-23 June 2023. === WORKSHOP PROPOSALS === We invite proposals for '''workshops''' to be held in conjunction with IWCS 2023. We solicit proposals in all areas of computational semantics, in other words all computational aspects of meaning of natural language within written, spoken, signed, or multi-modal communication. Workshops are invited on these closely related areas, including the following: * design of meaning representations * syntax-semantics interface * representing and resolving semantic ambiguity * shallow and deep semantic processing and reasoning * hybrid symbolic and statistical approaches to semantics * distributional semantics * alternative approaches to compositional semantics * inference methods for computational semantics * recognising textual entailment * learning by reading * methodologies and practices for semantic annotation * machine learning of semantic structures * probabilistic computational semantics * neural semantic parsing * computational aspects of lexical semantics * semantics and ontologies * semantic web and natural language processing * semantic aspects of language generation * generating from meaning representations * semantic relations in discourse and dialogue * semantics and pragmatics of dialogue acts * multimodal and grounded approaches to computing meaning * semantics-pragmatics interface * applications of computational semantics === SUBMISSION INFORMATION === Proposals for workshops should contain: * A title and brief (max two pages) description of the workshop topic and content; * The names, affiliation and email addresses of the organisers; * An estimate of the expected audience size; * If the workshop has been held before, a note specifying where previous workshops were held, how many submissions the workshop received, how many papers were accepted and how many attendees the workshop attracted. Proposals should be submitted on softconf: https://softconf.com/iwcs2023/IWCS-worshop/ as soon as possible, but no later than: 23 January 2022. Notification of acceptance of workshop proposals will be at 30 January 2022. === FINANCES === Workshops must be financially self-supporting. The conference organisers will establish registration rates to cover the costs. === IMPORTANT DATES === 23 January 2023 Workshop proposal submissions due 30 January 2023 Workshop proposal notification of acceptance 20 June 2023 Workshop date (on 1 or 2 of these dates) === CONTACT === For questions, contact: iwcs2023-contact at univ-lorraine.fr Maxime Amblard, Ellen Breithloltz (the IWCS 2023 organizers) -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 1505 bytes Desc: not available URL: From jose at rubic.rutgers.edu Thu Dec 22 16:31:28 2022 From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=) Date: Thu, 22 Dec 2022 21:31:28 +0000 Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI In-Reply-To: References: Message-ID: Hi Park So to be clear, its actually not heterogeneous in a representational sense. That's what is often confabulated by critics.. as soon as a neural architecture.. oh I suppose like a brain.. it must be symbolic! Billions of Neurons can't possibly be reasoning. So to the extent Yann's system can monitor an error signal , a mismatch, a credit reconciliation.. backpropagation will still work fine over a set of homogeneous representaional elements, like neurons. Steve (my last name is Hanson, I suspect I just made the same error with you!) On 12/22/22 15:00, Park, Deok Gun wrote: Thank you, Hanson, for sharing this. It is inspiring to see a non-homogeneous cognitive architecture from mainstream researcher. If anyone is pursuing similar approaches, please let me know so that I can learn from it. I was pursuing similar direction myself. My version also has a hierarchical (heterarchical) prediction memory and simulation device for mode 2 thinking. Below is the link to the position paper. Like Yann?s, this is more of a proposal without results. https://arxiv.org/abs/2212.08626 If you find this paper interesting, I would be happy to have a seminar or meeting for discussion. I would also appreciate your feedback about my direction. Thank you for reading. Regards =================== Deokgun Park Assistant Prof. at UTA CSE =================== From: Connectionists on behalf of Stephen Jos? Hanson Date: Thursday, December 15, 2022 at 8:46 AM To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI [External] In the last year, Yann Le Cun has posted a new vision for AI, partly avoiding the ambiguous complexity of LLM, and AGI, he focuses on explicit reasoning systems, going beyond the implicit classification systems which have been so successful with Deep Learning. Like other AI leaders, he realized that somethingthay must be scaled down before scaling up. It would be better to get the reasoning sense of a non-human mammal, say a cat, then jump to human reasoning, Yann argues. This also underscores, I think, much of the problem with LLM--e.g. ChatBOTs, which probably will be a concern for classicial lingustics, nonetheless are inscructable. At the same time critics have emerged, because when one provides enough detail of a specific vision it is both courageous and risky. Our favorite critic/troll, Gary Marcus wrote several critiques (see the one below), and Yann and Jake Browning tried to clarify, and deflate some of the Marcus arguments, as many of them appear to almost perversely misunderstand the difference between complex Nerual Network architectures and symbolic systems from the 1970s (which mostly didn't work). Here is the conversation in whole focused entirely on Yann's new AI vision. Cheers and Happy Holidays--Steve https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s The description of the paper and critques. https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/ https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/ https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/ *(due to a small mic issue, we have also closed captioned the conversation) -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From a.villavicencio at sheffield.ac.uk Thu Dec 22 11:54:04 2022 From: a.villavicencio at sheffield.ac.uk (Aline Villavicencio) Date: Thu, 22 Dec 2022 13:54:04 -0300 Subject: Connectionists: PhD position on neural and cognitive basis of computational models of language at the University of Sheffield (UK) Message-ID: 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 January 25, 2023, with a starting date of as early as possible in 2023 (from February on). More details below and on this link . 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.sheffield.ac.uk/postgraduate/english-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.sheffield.ac.uk/postgraduate/phd/apply/applying 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 ---------------------------------------------------- ---------------------------------------------------- Prof. Aline Villavicencio Chair in Natural Language Processing Department of Computer Science, University of Sheffield https://sites.google.com/view/alinev https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio -------------- next part -------------- An HTML attachment was scrubbed... URL: From deokgun.park at uta.edu Thu Dec 22 15:00:44 2022 From: deokgun.park at uta.edu (Park, Deok Gun) Date: Thu, 22 Dec 2022 20:00:44 +0000 Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI In-Reply-To: References: Message-ID: Thank you, Hanson, for sharing this. It is inspiring to see a non-homogeneous cognitive architecture from mainstream researcher. If anyone is pursuing similar approaches, please let me know so that I can learn from it. I was pursuing similar direction myself. My version also has a hierarchical (heterarchical) prediction memory and simulation device for mode 2 thinking. Below is the link to the position paper. Like Yann?s, this is more of a proposal without results. https://arxiv.org/abs/2212.08626 If you find this paper interesting, I would be happy to have a seminar or meeting for discussion. I would also appreciate your feedback about my direction. Thank you for reading. Regards =================== Deokgun Park Assistant Prof. at UTA CSE =================== From: Connectionists on behalf of Stephen Jos? Hanson Date: Thursday, December 15, 2022 at 8:46 AM To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI [External] In the last year, Yann Le Cun has posted a new vision for AI, partly avoiding the ambiguous complexity of LLM, and AGI, he focuses on explicit reasoning systems, going beyond the implicit classification systems which have been so successful with Deep Learning. Like other AI leaders, he realized that somethingthay must be scaled down before scaling up. It would be better to get the reasoning sense of a non-human mammal, say a cat, then jump to human reasoning, Yann argues. This also underscores, I think, much of the problem with LLM--e.g. ChatBOTs, which probably will be a concern for classicial lingustics, nonetheless are inscructable. At the same time critics have emerged, because when one provides enough detail of a specific vision it is both courageous and risky. Our favorite critic/troll, Gary Marcus wrote several critiques (see the one below), and Yann and Jake Browning tried to clarify, and deflate some of the Marcus arguments, as many of them appear to almost perversely misunderstand the difference between complex Nerual Network architectures and symbolic systems from the 1970s (which mostly didn't work). Here is the conversation in whole focused entirely on Yann's new AI vision. Cheers and Happy Holidays--Steve https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s The description of the paper and critques. https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/ https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/ https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/ *(due to a small mic issue, we have also closed captioned the conversation) -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: From benoit.frenay at unamur.be Sat Dec 24 07:24:29 2022 From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=) Date: Sat, 24 Dec 2022 12:24:29 +0000 Subject: Connectionists: Full-time assistant professor in ethics for CS at UNamur In-Reply-To: References: Message-ID: Dear colleagues, If you are looking for a team of kind and passionate colleagues that value both research and teaching, the Faculty of Computer Science at UNamur has an open academic position in ethics for computer science. The Faculty is more than 50 years old and is located in Namur, an historical city at the center of Wallonia. We are looking for candidates that will create and contribute to collaborations in line with the Faculty's areas of interest (software engineering, data engineering, data science, artificial intelligence, security, formal methods, modeling...). All details can be found here (deadline is January 3rd): https://jobs.unamur.be/emploi.2022-10-28.0704615291 Best regards, Beno?t Fr?nay -------------- next part -------------- An HTML attachment was scrubbed... URL: From jorgecbalmeida at gmail.com Fri Dec 23 05:40:27 2022 From: jorgecbalmeida at gmail.com (Jorge Almeida) Date: Fri, 23 Dec 2022 10:40:27 +0000 Subject: Connectionists: Cognitive Neuroscience Research positions in Coimbra Portugal - open call for 2023 Message-ID: The Proaction Laboratory (Jorge Almeida's lab; proactionlab.fpce.uc.pt) at the University Coimbra Portugal is looking for Researchers at different levels of their career from newly phd graduates, to assistant, associate or full level researchers to be part of the lab in a joint competitive application to a Portuguese Science Foundation (FCT) independent researcher call in March/April (see previous calls here ). The applicants should have an interest on cognitive neuroscience, vision science and preferably (but not limited to) object recognition, conceptual processing, and action and perception. We are particularly interested in motivated and independent Researchers addressing these topics with strong expertise in behavioral, neuromodulation, fMRI and/or EEG approaches (in particular Multivariate EEG decoding, and EEG/fMRI multimodal approaches), and Computational neuroscience. Good programming skills, great communication and mentoring skills, and a great command of English are a plus. The applicant and the lab will work on a competitive project to be submitted. Results from the application are expected to be out in October/November 2023. The application deadline is around February/March. The positions are as independent researchers in the Proaction Lab, are for 6 years, and the salary is the same as the Portuguese payroll for University Professors (net values for junior, assistant, associate positions, for instance are approximately 1500, 1900 and 2100 euros per month in a 14 month salary per year; these are competitive salaries for the cost of living in Portugal and especially in Coimbra). The Proaction Lab is currently very well funded as we have a set of on-going funded projects including a Starting Grant ERC to Jorge Almeida and several FCT projects. We have access to two 3T MRI scanner, to tDCS and TMS with neuronavigation, to a 256 EEG, a VR set, and eyetracking, and to a behavioral lab. We also have a science communication office dedicated to the lab. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the liveliest university cities in the world, and it is a beautiful city with easy access to the beach and mountain. The deadline for this pre-application is February 15, but you should apply as soon as you can - the sooner the better so that we can prepare the application. If interested send an email to jorgecbalmeida at gmail.com, with a CV, and motivation/scientific proposal letter. If there is a fit, we will jointly apply to these positions. -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Dec 24 09:52:49 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 24 Dec 2022 15:52:49 +0100 (CET) Subject: Connectionists: BigDat 2023 Summer: early registration January 14 Message-ID: <2056032055.504853.1671893569191@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: January 14, 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 16 four-hour and a half courses and 2 keynote lectures, 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 SPEAKERS: Valerie Daggett (University of Washington), tba Sander Klous (University of Amsterdam), tba PROFESSORS AND COURSES: (to be completed) 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 (Free University of Brussels), [intermediate/advanced] Machine Learning for Big Data Analytics: from Prediction to Causal Inference Altan ?akir (Istanbul Technical University), [introductory/intermediate] Introduction to Distributed Deep Learning with Apache Spark Ian Fisk (Flatiron Institute), tba 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 Ana Trisovic (Harvard University), [introductory/advanced] Reproducible Research, Best Practices and Big Data Management Sebasti?n Ventura (University of C?rdoba), [tba] 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: 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 will be available in due time 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. Participants will be recognized 2 ECTS credits by University of Las Palmas de Gran Canaria. 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 Rovira i Virgili University Institute for Research Development, Training and Advice ? IRDTA, Brussels/London -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik at oist.jp Mon Dec 26 06:47:27 2022 From: erik at oist.jp (Erik De Schutter) Date: Mon, 26 Dec 2022 11:47:27 +0000 Subject: Connectionists: Okinawa/OIST Computational Neuroscience Course 2023 Message-ID: <2A09C99E-AC19-4157-BFFD-37B526E7D4BD@oist.jp> OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2023 Methods, Neurons, Networks and Behaviors June 19 to July 6, 2023 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 19th through July 6th, 2023 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc ) only; January 1 - January 31, 2023. Applicants will receive confirmation of acceptance end of March. Like in preceding years, the 18th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international and local experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and may provide partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: ? Upinder Bhalla (NCBS, India) ? Claudia Clopath (Imperial College London, UK) ? Erik De Schutter (OIST) ? Kenji Doya (OIST) ? Tomoki Fukai (OIST) ? Izumi Fukunaga (OIST) ? Yukiko Goda (OIST) ? Mike H?usser (University College London, UK) ? Bernd Kuhn (OIST) ? Jinny Kim (KIST, South Korea) ? Rosalyn Moran (King's College London, UK) ? Steve Prescott (University of Toronto, Canada) ? Sam Reiter (OIST) ? Greg Stephens (OIST) ? Kazumasa Tanaka (OIST) -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: smime.p7s Type: application/pkcs7-signature Size: 3766 bytes Desc: not available URL: From sunr at rpi.edu Mon Dec 26 15:24:46 2022 From: sunr at rpi.edu (Sun, Ron) Date: Mon, 26 Dec 2022 20:24:46 +0000 Subject: Connectionists: Yann Le Cun and Stephen Hanson [EXTERNAL] Connectionists Digest, Vol 821, Issue 5 Message-ID: <21759b4c-d05f-4c28-a3f0-19f04ff067d2@email.android.com> Dear Deokgun: If you are looking for cognitive architectures that incorporate both System 1 and System 2 (i.e., dual-process theories), there have been some over the years. You may even trace it back to the 1990s, when such ideas first emerged (way before Daniel Kahnenman and a number of other researchers popularized this notion in the 2000s and 2010s). In general, as a survey of this early history, I refer you to the following edited volume: Sun, R. & Bookman, L. (1994). Computational Architectures Integrating Symbolic and Connectionist Processing. Kluwer Academic Publishers, The Netherlands. For a more recent and better developed dual-process cognitive architecture (Clarion), see: Sun, R. (2016). Anatomy of the Mind. Oxford University Press, New York. And also some downloadable journal papers about the cognitive architecture: * S. Helie and R. Sun, Incubation, insight, and creative problem solving: A unified theory and a connectionist model. Psychological Review, Vol.117, No.3, pp.994-1024. 2010. [formatted PDF] [Web] * R. Sun, P. Slusarz, and C. Terry, The interaction of the explicit and the implicit in skill learning: A dual-process approach . Psychological Review, Vol.112, No.1, pp.159-192. 2005. [formatted PDF] * S. Bretz and R. Sun, Two models of moral judgment. Cognitive Science, Vol.42, No.S1, pp.4-37. 2018. https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.12517 etc. Furthermore, for a detailed comparison of this dual-process theory (as embodied in the cognitive architecture) and Kahnenman?s that highlighted their differences, see the analysis in: R. Sun, Implicit and explicit processes: Their relation, interaction, and competition. In: L. Macchi, M. Bagassi, and R. Viale, (eds.), Cognitive Unconscious and Human Rationality. pp.257-274. MIT Press, Cambridge, MA. 2016. Best regards, Ron ======================================================== Professor Ron Sun, Ph.D., FIEEE, FAPS, FPsyS Cognitive Science Department Rensselaer Polytechnic Institute 110 Eighth Street, Carnegie 302A Troy, NY 12180, USA phone: 518-276-3409 fax: 518-276-3017 email: dr.ron.sun [AT] gmail.com web: http://sites.google.com/site/drronsun ======================================================= On Dec 23, 2022, at 12:00 PM, connectionists-request at mailman.srv.cs.cmu.edu wrote: Date: Thu, 22 Dec 2022 20:00:44 +0000 From: "Park, Deok Gun" > To: Stephen Jos? Hanson >, "connectionists at mailman.srv.cs.cmu.edu" > Subject: Re: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI Message-ID: > Content-Type: text/plain; charset="windows-1252" Thank you, Hanson, for sharing this. It is inspiring to see a non-homogeneous cognitive architecture from mainstream researcher. If anyone is pursuing similar approaches, please let me know so that I can learn from it. I was pursuing similar direction myself. My version also has a hierarchical (heterarchical) prediction memory and simulation device for mode 2 thinking. Below is the link to the position paper. Like Yann?s, this is more of a proposal without results. https://arxiv.org/abs/2212.08626 If you find this paper interesting, I would be happy to have a seminar or meeting for discussion. I would also appreciate your feedback about my direction. Thank you for reading. Regards =================== Deokgun Park Assistant Prof. at UTA CSE =================== From: Connectionists on behalf of Stephen Jos? Hanson Date: Thursday, December 15, 2022 at 8:46 AM To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI [External] In the last year, Yann Le Cun has posted a new vision for AI, partly avoiding the ambiguous complexity of LLM, and AGI, he focuses on explicit reasoning systems, going beyond the implicit classification systems which have been so successful with Deep Learning. Like other AI leaders, he realized that somethingthay must be scaled down before scaling up. It would be better to get the reasoning sense of a non-human mammal, say a cat, then jump to human reasoning, Yann argues. This also underscores, I think, much of the problem with LLM--e.g. ChatBOTs, which probably will be a concern for classicial lingustics, nonetheless are inscructable. At the same time critics have emerged, because when one provides enough detail of a specific vision it is both courageous and risky. Our favorite critic/troll, Gary Marcus wrote several critiques (see the one below), and Yann and Jake Browning tried to clarify, and deflate some of the Marcus arguments, as many of them appear to almost perversely misunderstand the difference between complex Nerual Network architectures and symbolic systems from the 1970s (which mostly didn't work). Here is the conversation in whole focused entirely on Yann's new AI vision. Cheers and Happy Holidays--Steve https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s The description of the paper and critques. https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/ https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/ https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/ *(due to a small mic issue, we have also closed captioned the conversation) -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: ------------------------------ Message: 3 Date: Thu, 22 Dec 2022 21:31:28 +0000 From: Stephen Jos? Hanson To: "Park, Deok Gun" , "connectionists at mailman.srv.cs.cmu.edu" Subject: Re: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI Message-ID: Content-Type: text/plain; charset="utf-8" Hi Park So to be clear, its actually not heterogeneous in a representational sense. That's what is often confabulated by critics.. as soon as a neural architecture.. oh I suppose like a brain.. it must be symbolic! Billions of Neurons can't possibly be reasoning. So to the extent Yann's system can monitor an error signal , a mismatch, a credit reconciliation.. backpropagation will still work fine over a set of homogeneous representaional elements, like neurons. Steve (my last name is Hanson, I suspect I just made the same error with you!) On 12/22/22 15:00, Park, Deok Gun wrote: Thank you, Hanson, for sharing this. It is inspiring to see a non-homogeneous cognitive architecture from mainstream researcher. If anyone is pursuing similar approaches, please let me know so that I can learn from it. I was pursuing similar direction myself. My version also has a hierarchical (heterarchical) prediction memory and simulation device for mode 2 thinking. Below is the link to the position paper. Like Yann?s, this is more of a proposal without results. https://arxiv.org/abs/2212.08626 If you find this paper interesting, I would be happy to have a seminar or meeting for discussion. I would also appreciate your feedback about my direction. Thank you for reading. Regards =================== Deokgun Park Assistant Prof. at UTA CSE =================== From: Connectionists on behalf of Stephen Jos? Hanson Date: Thursday, December 15, 2022 at 8:46 AM To: connectionists at mailman.srv.cs.cmu.edu Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI [External] In the last year, Yann Le Cun has posted a new vision for AI, partly avoiding the ambiguous complexity of LLM, and AGI, he focuses on explicit reasoning systems, going beyond the implicit classification systems which have been so successful with Deep Learning. Like other AI leaders, he realized that somethingthay must be scaled down before scaling up. It would be better to get the reasoning sense of a non-human mammal, say a cat, then jump to human reasoning, Yann argues. This also underscores, I think, much of the problem with LLM--e.g. ChatBOTs, which probably will be a concern for classicial lingustics, nonetheless are inscructable. At the same time critics have emerged, because when one provides enough detail of a specific vision it is both courageous and risky. Our favorite critic/troll, Gary Marcus wrote several critiques (see the one below), and Yann and Jake Browning tried to clarify, and deflate some of the Marcus arguments, as many of them appear to almost perversely misunderstand the difference between complex Nerual Network architectures and symbolic systems from the 1970s (which mostly didn't work). Here is the conversation in whole focused entirely on Yann's new AI vision. Cheers and Happy Holidays--Steve https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s The description of the paper and critques. https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/ https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/ https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/ *(due to a small mic issue, we have also closed captioned the conversation) -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -- Stephen Jos? Hanson Professor, Psychology Department Director, RUBIC (Rutgers University Brain Imaging Center) Member, Executive Committee, RUCCS -------------- next part -------------- An HTML attachment was scrubbed... URL: ------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From alberto.nogales at ceiec.es Tue Dec 27 10:25:46 2022 From: alberto.nogales at ceiec.es (Alberto Nogales) Date: Tue, 27 Dec 2022 16:25:46 +0100 Subject: Connectionists: Looking for an opportunity as a visiting researcher In-Reply-To: References: Message-ID: To whom it may concern. My name is Alberto Nogales, actually a Post-doctoral researcher at CEIEC Lab in Universidad Francisco de Vitoria (Madrid, Spain). I am looking for a short stage of 3/4 months at a foreign University next spring. Let me introduce myself, during my Ph.D. my topic was related to Semantic Web, ontologies, and Social Network Analysis. Now, I am researching in the Neural Networks field with my actual group. My research line is related to deep learning models, signal processing, and computer vision, but I also have some papers in predictive models and NLP. I also teach courses in Neural Network models and Data Mining in Python, so if it is necessary I can also deliver some lectures. I need no funding. Thanks for your time and please write back telling me if there is any possibility. Find attached my CV and a link to my Google Scholar profile. https://scholar.google.com/citations?user=PGII5sYAAAAJ&hl=en Kind regards. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: CvEngFinal.pdf Type: application/pdf Size: 170740 bytes Desc: not available URL: From ludovico.montalcini at gmail.com Tue Dec 27 11:40:28 2022 From: ludovico.montalcini at gmail.com (Ludovico Montalcini) Date: Tue, 27 Dec 2022 17:40:28 +0100 Subject: Connectionists: =?utf-8?q?=23ACDL2023=2C_6th_Advanced_Course_on_D?= =?utf-8?q?ata_Science_=26_Machine_Learning_=7C_June_10-14=2C_2023_?= =?utf-8?q?=7C_Riva_del_Sole_Resort_=26_SPA=2C_Castiglione_della_Pe?= =?utf-8?q?scaia_=28Grosseto=29_=E2=80=93_Tuscany=2C_Italy_-_SAVE_T?= =?utf-8?q?HE_DATE?= In-Reply-To: References: Message-ID: 6th Advanced Course on #DataScience & #MachineLearning #ACDL2023 | June 10-14, 2023 | Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto), Tuscany, Italy An Interdisciplinary Course: #AI, #DeepLearning & #BigData without Borders Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) - Tuscany, Italy June 10-14, 2023 https://acdl2023.icas.cc acdl at icas.cc *LECTURERS*: Each Lecturer will hold three/four lessons on a specific topic. *PAST LECTURERS*: https://acdl2023.icas.cc/past-lecturers/ * Ioannis Antonoglou, Google DeepMind, UK * ?iga Avsec, DeepMind, London, UK * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Roman Belavkin, Middlesex University London, UK * Yoshua Bengio, University of Montreal, Canada * Bettina Berendt, TU Berlin, Weizenbaum Institute, and KU Leuven * Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation * Chris Bishop, Microsoft, Cambridge, UK, and Laboratory Director at Microsoft Research Cambridge, UK * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Alfredo Canziani, New York University, USA * Silvia Chiappa, DeepMind, London, UK * Giuseppe Di Fatta, University of Reading, UK * Edith Elkind, University of Oxford, UK * Oren Etzioni, Allen Institute for AI, USA, and CEO at Allen Institute for AI * Marco Gori, University of Siena, Italy * Georg Gottlob, Computer Science Dept, University of Oxford, UK * Yi-Ke Guo, Imperial College London, UK * Phillip Isola, MIT, USA * Michael I. Jordan, University of California, Berkeley, USA * Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Ilias S. Kotsireas, Wilfrid Laurier University, Canada * Danica Kragic Jensfel, Royal Institute of Technology, Sweden * Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK * Risto Miikkulainen, University of Texas at Austin, USA * Yukie Nagai, The University of Tokyo, Japan * Peter Norvig, Director of Research, Google * Panos Pardalos, University of Florida, USA * Alex 'Sandy' Pentland, MIT & Director of MIT?s Human Dynamics Laboratory, USA * Jos? C. Principe, University of Florida, USA * Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA * Dolores Romero Morales, Copenhagen Business School, Denmark * Daniela Rus, MIT, USA, and Director of CSAIL * Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA * Guido Sanguinetti, The University of Edinburgh, UK * Cristina Savin, New York University, Center for Neural Science & Center for Data Science, USA * Josh Tenenbaum, MIT, USA * Naftali Tishby, Hebrew University, Israel * Isabel Valera, Saarland University, Germany, and Max Planck Institute for Intelligent Systems, T?bingen, Germany * Mihaela van der Schaar, University of Cambridge, UK * Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands * Oriol Vinyals, Google DeepMind, UK *SCOPE*: The 6th Advanced Course on Data Science & Machine Learning (ACDL) is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia ? Grosseto ? Tuscany, Italy) on cutting-edge advances in Data Science and Deep Learning Learning with lectures delivered by world-renowned experts. The Course provides a stimulating environment for junior and senior academics, early career researchers, Post-Docs, PhD students and industry leaders. Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial and productive environment. MSc students, PhD students, PostDocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants.The Course will involve a total of 36?40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. To participate in the ACDL 2023, all attendants must (1/2) register for the course (by February 23, 2023) and (2/2) book accommodation at the course venue, ?Riva del Sole Resort & SPA? (by April 9, 2023); all attendants must stay at the ?Riva del Sole Resort & SPA?. Once accommodation has been booked at ?Riva del Sole Resort & SPA?, the participant must send this information to the ACDL organizing committee (acdl at icas.cc). *VENUE & ACCOMMODATION*: Riva del Sole Hotel & Spa https://acdl2023.icas.cc/venue/ https://acdl2023.icas.cc/accommodation/ *PAST EDITIONS*: https://acdl2023.icas.cc/past-editions/ https://acdl2022.icas.cc https://acdl2021.icas.cc/ https://acdl2018.icas.xyz https://acdl2019.icas.xyz https://acdl2020.icas.xyz/ *REGISTRATION*: https://acdl2023.icas.cc/registration/ Anyone interested in participating in ACDL 2023 should register as soon as possible! Similarly for accommodation at the Riva del Sole Resort & SPA (the course Venue), book your full board accommodation at the Riva del Sole as soon as possible! All course participants must stay at the Riva del Sole Resort & SPA. See you in Riva del Sole next June! ACDL 2023 Organizing Committee. acdl at icas.cc https://acdl2023.icas.cc https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences -------------- next part -------------- An HTML attachment was scrubbed... URL: From mtista at gmail.com Wed Dec 28 08:07:58 2022 From: mtista at gmail.com (Massimo Tistarelli) Date: Wed, 28 Dec 2022 14:07:58 +0100 Subject: Connectionists: Call for Applications: 20th Int.l Summer School on Biometrics 2023 Message-ID: <9abcbc2e-755a-ebb7-b470-d02da6bc0bde@gmail.com> ?? Please accept our sincere apologies for receiving multiple copies of this announcement ?? ** * * *20^th Int.l Summer School for Advanced Studies on Biometrics for Secure Authentication:* * * *20 Years of Biometrics: Reflections and Outlooks * * * *Alghero, Italy? ?? June 5 - 9 2023* http://biometrics.uniss.it **** *Contact:*tista at uniss.it ** ** *Application deadline: FEBRUARY 15**^th 2023 *(download the application form at: http://biometrics.uniss.it ) *For the past 20 years this international Summer School provided and active and dynamic forum to closely follow the most recent developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art.* Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today "Biometrics". What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? What can we learn from human perception? How to deploy current Machine Learning approaches? How to cope for adversarial attacks in biometric recognition? What is the scalability and real potential for biometric systems? How to design privacy-preserving and "ethic" biometric devices? This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 20th edition, the courses will focus on the lessons learned and on new and emerging issues: * *What did we learn after 20 years and Where are we going now?* * *The impact of AI and advanced learning techniques in Biometrics.* * *How to make "Deep Biometric" systems explainable.* * *The advantages of continual learning for biometrics.* * *How to exploit new biometric technologies in forensic and emerging applications.* * *How to develop fair, unbiased and ethical biometric systems.* The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry. Open sessions will be organised with questions and answers moderated by the leading experts in the field. * * *Participant application*** To attend the school classes, physical presence of the participants will be required. In exceptional cases of travel limitations due to the Covid-19 outbreak,remote participation with videoconference facilities, will be also allowed. The expected school fees will be in the order of 1,600 ? (400 ? in videoconference) for students and 2,200 ? (800 ? in videoconference) for others. The fees will include full board accommodation, all courses and handling material. A limited number of scholarships, partially covering the fees, will be awarded to Phd students, selected on the basis of their scientific background and on-going research work. The scholarship request form can be downloaded from the school web site http://biometrics.uniss.it Send a filled application form (download from http://biometrics.uniss.it) together with a short resume to: *Prof. Massimo Tistarelli ?*e-mail: *biometricsummerschool at gmail.com* * Submission of applications: February 15th, 2023 * Notification of acceptance: March 20th, 2023 * Registration: April 25th, 2023 *_Advance pre-registration is strictly required by February 15^th 2023_* *School location* The school will be hosted by Hotel Dei Pini (https://www.hoteldeipini.com/ ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean Sea. The structure is beautifully immersed into the Capo Caccia bay. The hotel Dei Pini has a recently renovated conference centre, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities. The organisers and all lecturers are fully committed to make this year's school as successful, instructing and inspiring as in the past years. *School Committee:*** * * *Massimo Tistarelli* Computer Vision Laboratory ? University of Sassari, Italy *Josef Bigun * Department of Computer Science ? Halmstad University, Sweden *Enrico Grosso* Computer Vision Laboratory ? University of Sassari, Italy *Anil K. Jain* Biometrics laboratory ? Michigan State University, USA * * *Distinguished lecturers from past school editions*** *Josef **Bigun* Halmstad University ? Sweden *David Meuwly* Netherlands Forensic Institute ? NL *Thirimachos Bourlai* West Virginia University ? USA *Emilio Mordini MD* Responsible Technologies ? Italy *Vincent Bouatou* Safran Morpho ? France *Mark Nixon* University of Southampton ? UK *Kevin Bowyer * University of Notre Dame ? USA *Alice O?Toole* University of Texas ? USA *Deepak Chandra * Google Inc. ? USA *Maja Pantic* Imperial College ? UK *Rama Chellappa* University of Maryland ? USA *Johnathon Phillips* NIST ? USA *John Daugman* University of Cambridge ? UK *Tomaso Poggio* MIT ? USA *Farzin Deravi* University of Kent ? UK *Nalini Ratha* IBM ? USA *James Haxby* Dartmouth University ? USA *Arun Ross* Michigan State University ? USA** *Anil K. Jain* Michigan State University ? USA *Tieniu Tan * CASIA-NLPR ? China *Joseph Kittler* University of Surrey ? UK *Massimo Tistarelli* Universit? di Sassari ? Italy *Davide Maltoni* Universit? di Bologna ? Italy *Alessandro Verri* Universit? di Genova ? Italy *John Mason* Swansea University ? UK *James Wayman* University of San Jos? ? USA *Aldo Mattei* Arma dei Carabinieri ? Italy *Lior Wolf* Tel Aviv University ? Israel -------------- next part -------------- An HTML attachment was scrubbed... URL: From hocine.cherifi at gmail.com Wed Dec 28 08:19:13 2022 From: hocine.cherifi at gmail.com (Hocine Cherifi) Date: Wed, 28 Dec 2022 14:19:13 +0100 Subject: Connectionists: =?utf-8?q?CFP_FRCCS_2023_=E2=80=93_3th_French_Reg?= =?utf-8?q?ional_Conference_on_Complex_Systems_May_30-June_02_Le_Ha?= =?utf-8?q?vre?= Message-ID: *Third F*rench* R*egional* C*onference on* C*omplex* S*ystems May 31 ? June 02, 2023 Le Havre, France *FRCCS 2023* You are cordially invited to submit your contribution until *February 22, 2023.* The* F*rench *R*egional* C*onference on *C*omplex *S*ystems (FRCCS) is an International annual Conference organized in France since 2021. After Dijon (2021), Paris (2022), Le Havre host its third edition (FRCCS 2023). It promotes interdisciplinary exchanges between researchers from various scientific disciplines and backgrounds (sociology, economics, history, management, archaeology, geography, linguistics, statistics, mathematics, and computer science). FRCCS 2023 is an opportunity to exchange and promote the cross-fertilization of ideas by presenting recent research work, industrial developments, and original applications. Special attention is given to research topics with a high societal impact from the complexity science perspective. *Keynote Speakers* Luca Maria Aiello ITU Copenhagen Denmark Ginestra Bianconi Queen Mary University UK V?ctor M. Egu?luz University of the Balearic Islands Spain Adriana Iamnitchi Maastricht University Netherlands Rosario N. Mantegna Palermo University Italy C?line Rozenblat University of Lausanne Switzerland *Submission Guidelines* Finalized work (published or unpublished) and work in progress are welcome. Two types of contributions are accepted: ? *Full paper* about *original research* ? *Extended Abstract* about published or unpublished research. It is recommended to be between 3-4 pages. They should not exceed four pages. o Submissions must follow the Springer publication format available in the journal Applied Network Science in the Instructions for Authors' instructions entry. o All contributions should be submitted in *pdf format* via *EasyChair .* *Publication* *Selected submissions of unpublished work will be invited for publication in special issues (fast track procedure) **of the journals:* o Applied Network Science, edited by Springer o Complexity, edited by Hindawi *Topics include, but are not limited to: * ? *Foundations of complex systems * - Self-organization, non-linear dynamics, statistical physics, mathematical modeling and simulation, conceptual frameworks, ways of thinking, methodologies and methods, philosophy of complexity, knowledge systems, Complexity and information, Dynamics and self-organization, structure and dynamics at several scales, self-similarity, fractals - *Complex Networks * - Structure & Dynamics, Multilayer and Multiplex Networks, Adaptive Networks, Temporal Networks, Centrality, Patterns, Cliques, Communities, Epidemics, Rumors, Control, Synchronization, Reputation, Influence, Viral Marketing, Link Prediction, Network Visualization, Network Digging, Network Embedding & Learning. - *Neuroscience, **Linguistics* - Evolution of language, social consensus, artificial intelligence, cognitive processes & education, Narrative complexity - *Economics & Finance* - Game Theory, Stock Markets and Crises, Financial Systems, Risk Management, Globalization, Economics and Markets, Blockchain, Bitcoins, Markets and Employment - *Infrastructure, planning, and environment * - critical infrastructure, urban planning, mobility, transport and energy, smart cities, urban development, urban sciences - *Biological and (bio)medical complexity * - biological networks, systems biology, evolution, natural sciences, medicine and physiology, dynamics of biological coordination, aging - *Social complexity* o social networks, computational social sciences, socio-ecological systems, social groups, processes of change, social evolution, self-organization and democracy, socio-technical systems, collective intelligence, corporate and social structures and dynamics, organizational behavior, and management, military and defense systems, social unrest, political networks, interactions between human and natural systems, diffusion/circulation of knowledge, diffusion of innovation - *Socio-Ecological Systems* - Global environmental change, green growth, sustainability & resilience, and culture - *Organisms and populations * o Population biology, collective behavior of animals, ecosystems, ecology, ecological networks, microbiome, speciation, evolution - *Engineering systems and systems of systems* - bioengineering, modified and hybrid biological organisms, multi-agent systems, artificial life, artificial intelligence, robots, communication networks, Internet, traffic systems, distributed control, resilience, artificial resilient systems, complex systems engineering, biologically inspired engineering, synthetic biology - *Complexity in physics and chemistry* - quantum computing, quantum synchronization, quantum chaos, random matrix theory) *GENERAL CHAIRS* Cyrille Bertelle LITIS, Normastic, Le Havre Roberto Interdonato CIRAD, UMR TETIS, Montpellier Join us at COMPLEX NETWORKS 2022 Palermo Italy *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comt? Deputy Director LIB EA N? 7534 Editor in Chief Applied Network Science Editorial Board member PLOS One , IEEE ACCESS , Scientific Reports , Journal of Imaging , Quality and Quantity , Computational Social Networks , Complex Systems Complexity -------------- next part -------------- An HTML attachment was scrubbed... URL: From dleeds at fordham.edu Wed Dec 28 15:15:07 2022 From: dleeds at fordham.edu (Daniel Leeds) Date: Wed, 28 Dec 2022 15:15:07 -0500 Subject: Connectionists: PhD positions in Fordham University's Computer Science program Message-ID: Applications for Fordham University's doctoral program in Computer Science are due by January 9, 2023. Details are available below. Fordham University (New York City) has developed a unique Ph.D. program in Computer Science, tuned to the latest demands and opportunities of the field. Upon completion of the Ph.D. in Computer Science program, students will be able to * Demonstrate the fundamental, analytical, and computational knowledge and methodology needed to conduct original research and practical experiments in the foundations and theory of computer science, in software and systems, and in informatics and data analytics. * Apply computing and informatics methods and techniques to understand, analyze, and solve a variety of significant, real-world problems and issues in the cyber, physical, and social domains. * Conduct original, high-quality, ethically informed, scientific research and publish in respected, peer-reviewed, journals and conferences. * Effectively instruct others in a variety of topics in Computer Science at the university level, addressing ethics, justice, diversity, and sustainability. This training and education means that graduates can pursue careers at the university level, but also research and leadership positions in industry and government and within the leading technology companies. Applicants who are accepted to the program are guaranteed support for the five years the program takes. A hallmark of the program is early involvement in research, within the first two years of the program. Students will have the opportunity to carry out research in * machine learning and AI/robotics * big data analytics and informatics * data and information fusion * information and cyber security * software engineering and systems For more information, see https://www.fordham.edu/info/30424/phd_in_computer_science or email: CS PhD Program Director, Dr. D.M. Lyons, Dlyons at fordham.edu -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PhDCS program flyer.pdf Type: application/pdf Size: 5767645 bytes Desc: not available URL: From georgios.yannakakis at um.edu.mt Fri Dec 30 02:01:11 2022 From: georgios.yannakakis at um.edu.mt (Georgios N Yannakakis) Date: Fri, 30 Dec 2022 08:01:11 +0100 Subject: Connectionists: Industrial Postdoc Fellowship - modl.ai and Institute of Digital Games Message-ID: Do you have a PhD in AI/machine learning and wish to experience a top-tier industry-based research environment as an industrial postdoc fellow? Apply and join us in our modl.ai Malta office and the Institute of Digital Games, University of Malta, and be part of a research team that develops the next generation tools for AI-based testing via large scale foundation models. We are looking for excellent candidates with experience training large deep learning models such as transformers and a deep understanding of modern machine learning techniques. Moreover, a good grasp of as many of the following areas as possible will be considered advantageous: human-computer interfaces, player modelling, behaviour cloning/imitation learning, procedural content generation, generative systems, game analytics. Apply here: https://www.um.edu.mt/__data/assets/pdf_file/0011/507494/FTRSOIIIorIV-186-Foundation.AI-21.12.22.pdf (Closing date: Wednesday, 25th January 2023) -- Georgios N. Yannakakis | Professor Director | Editor in Chief, IEEE Trans. on Games Institute of Digital Games 20 Triq L-Esperanto +356 2340 3510 -------------- next part -------------- An HTML attachment was scrubbed... URL: From andreea.sburlea at yahoo.com Thu Dec 29 11:34:41 2022 From: andreea.sburlea at yahoo.com (Andreea Sburlea) Date: Thu, 29 Dec 2022 16:34:41 +0000 (UTC) Subject: Connectionists: Sixth Groningen Spring School on Cognitive Modeling References: <694667576.4243879.1672331681008.ref@mail.yahoo.com> Message-ID: <694667576.4243879.1672331681008@mail.yahoo.com> ____________________Sixth Groningen Spring School on Cognitive Modeling?? ACT-R, Nengo, PRIMs ? Date: 27-31 March 2023Location: Groningen, the Netherlands Fee: ? 305 (late fee after February 26 will be ? 355)More information and registration:?www.cognitive- modeling.com/springschool____________________ Dear colleagues and students, We are excited to announce the sixth Spring School on Cognitive Modeling in Groningen, from 27-31 March 2023! This time, the Spring School will cover three different modeling paradigms: ACT-R, Nengo, and PRIMs. Each of these topics consists of a series of lectures, as well as a number of hands-on exercises (tutorials). Past years have shown that students get most out of the spring school if they really emerge themselves into one modeling paradigm. We therefore recommend you choose one topic for which you will attend both the lectures as well as the tutorials. In addition, you can select a second paradigm, for which you attend the lectures only. To give students a broader picture, there will also be three guest lectures throughout the week. These lectures each give an introduction to yet another modeling paradigm: accumulator models (Leendert van Maanen), error-driven learning models (Jacolien van Rij), and dynamical systems (Herbert J?ger). Everyone is encouraged to attend those lectures. To round of the program, there will be a poster session, where students present themselves and their research, as well as a city tour, and our (in)famous spring school dinner. Registration is now open.? Please feel free to forward the information to anyone who might be interested in the Spring School. We are looking forward to welcoming you (again) in Groningen, The Spring School teamspringschool at rug.nl______________ ACT-RTeachers: Jelmer Borst, Stephen Jones, & Katja Mehlhorn (University of Groningen)Website:?http://act-r.psy.cmu. edu ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. NengoTeacher: Terry Stewart and Andreas St?ckel (University of Waterloo)Website:?http://www.nengo.ca?Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMsTeacher: Niels Taatgen (University of Groningen)Website:?https://www.ai.rug. nl/~niels/prims/index.html How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction.? -------------- next part -------------- An HTML attachment was scrubbed... URL: From maanakg at gmail.com Thu Dec 29 12:53:45 2022 From: maanakg at gmail.com (Maanak Gupta) Date: Thu, 29 Dec 2022 11:53:45 -0600 Subject: Connectionists: Call for Papers: ACM Workshop on Secure and Trustworthy Cyber-Physical Systems Message-ID: Dear Colleagues, Please consider submitting and/or forwarding to the appropriate groups/personnel the opportunity to submit to the ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS 2023), which will be held in Charlotte, NC, USA (or virtually) on April 26, 2023 in conjunction with the 13th ACM Conference on Data and Application Security and Privacy (CODASPY 2023). *** Paper submission deadline: January 07, 2023 *** *** Website: https://sites.google.com/view/sat-cps2023 *** SaT-CPS aims to represent a forum for researchers and practitioners from industry and academia interested in various areas of CPS security. SaT-CPS seeks novel submissions describing practical and theoretical solutions for cyber security challenges in CPS. Submissions can be from different application domains in CPS. Example topics of interest are given below, but are not limited to: - Secure CPS architectures - Authentication mechanisms for CPS - Access control for CPS - Key management in CPS - Attack detection for CPS - Threat modeling for CPS - Forensics for CPS - Intrusion and anomaly detection for CPS - Trusted-computing in CPS - Energy-efficient and secure CPS - Availability, recovery, and auditing for CPS - Distributed secure solutions for CPS - Metrics and risk assessment approaches - Privacy and trust - Blockchain for CPS security - Data security and privacy for CPS - Digital twins for CPS - Wireless sensor network security - CPS/IoT malware analysis - CPS/IoT firmware analysis - Economics of security and privacy - Securing CPS in medical devices/systems - Securing CPS in civil engineering systems/devices - Physical layer security for CPS - Security on heterogeneous CPS - Securing CPS in automotive systems - Securing CPS in aerospace systems - Usability security and privacy of CPS - Secure protocol design in CPS - Vulnerability analysis of CPS - Anonymization in CPS - Embedded systems security - Formal security methods in CPS - Industrial control system security - Securing Internet-of-Things - Securing smart agriculture and related domains The workshop is planned for one day, April 26, 2023, on the last day of the conference. Instructions for Paper Authors All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. All papers must be submitted electronically via the Easychair system: https://easychair.org/conferences/?conf=acmsatcps2023 Full-length papers Papers must be at most 10 pages in length in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template). Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the ACM Digital Library. The presenter must register for the workshop before the deadline for author registration. Position papers and Work-in-progress papers We also invite short position papers and work-in-progress papers. Such papers can be of length up to 6 pages in double-column ACM format (as specified at https://www.acm.org/publications/proceedings-template), and must clearly state "Position Paper" or "Work in progress," as the case may be in the title section of the paper. These papers will be reviewed and accepted papers will be published in the conference proceedings. Important Dates Due date for full workshop submissions: January 07, 2023 Notification of acceptance to authors: February 9, 2023 Camera-ready of accepted papers: February 17, 2023 Workshop day: April 26, 2023 ReplyForward -------------- next part -------------- An HTML attachment was scrubbed... URL: From jimtoer at ifi.uio.no Fri Dec 30 09:00:42 2022 From: jimtoer at ifi.uio.no (=?utf-8?B?SmltIFTDuHJyZXNlbg==?=) Date: Fri, 30 Dec 2022 14:00:42 +0000 Subject: Connectionists: [jobs] Post-doc position in Psychology-Inspired Computing for Robot Assistants Message-ID: Dear Colleagues, [Apologies if you receive multiple copies of this call. Please, feel free to distribute it to potential candidates who might be interested.] Postdoctoral fellowship in Psychology-Inspired Computing for Robot Assistants 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) funded by the Research Council of Norway. The project is affiliated with RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo (see https://www.uio.no/ritmo/english/projects/pirc/ and https://www.uio.no/ritmo/english ). The fellowship is a full-time position with a fixed-term period of three years, with a preferred start date 1 February 2023. However, there is an option for extension of the employment period by one year depending on background and qualifications for contributing to teaching and supervision. 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 PhD degree or other corresponding education equivalent to a Norwegian doctoral degree in computer science, robotics, or other relevant field. Thus, applicants should have a strong background in programming, as well as machine learning/deep learning and robotics. Skills in human activity recognition, 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): NOK 544 400 ? 626 300 per year, approx.: ? or $ 53,373 ? 61,402 Announcement: https://www.jobbnorge.no/en/available-jobs/job/234964/postdoctoral-fellowship-in-psychology-inspired-computing-for-robot-assistants Deadline for applications: 9 January, 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From bnuzhanglei2008 at gmail.com Fri Dec 30 17:14:04 2022 From: bnuzhanglei2008 at gmail.com (Lei Zhang) Date: Fri, 30 Dec 2022 22:14:04 +0000 Subject: Connectionists: 2x Funded PhD positions in Learning & Decision Neuroscience at the University of Birmingham, UK Message-ID: --- Happy New Year & Apologize for cross-posting --- **2x Funded PhD positions in Learning & Decision Neuroscience at the University of Birmingham, UK** Dr. Lei Zhang (https://lei-zhang.net/), is looking for 2x PhD students interested in the cognitive, computational, and neural basis of (social) learning and decision-making in health and disease. The deadline for applications is in January 2023 to start in autumn 2023. The newly opened ALP(E)N Lab (Adaptive Learning Psychology and Neuroscience Lab) addresses the fundamental question of the ?adaptive brain? by studying the cognitive, computational, and neurobiological basis of (social) learning and decision-making in healthy individuals (across the lifespan), and in psychiatric disorders. We combine an array of approaches including neuroimaging, patient studies and computational modelling (particularly hierarchical Bayesian modelling) with behavioural paradigms inspired by learning theories. The lab has a strong emphasis on equality, diversity and supporting lab members to thrive. The lab is based at the Centre for Human Brain Health ( https://birmingham.ac.uk/research/centre-human-brain-health/index.aspx) and Institute of Mental Health ( https://birmingham.ac.uk/research/mental-health/index.aspx) at the University of Birmingham, UK, with access to exceptional facilities including MRI, MEG, TMS, and fNIRS. Funding is available through two competitive schemes from the BBSRC ( https://www.ukri.org/councils/bbsrc/) and MRC ( https://www.ukri.org/councils/mrc/) that provide a stipend, fees (at UK rate) and a research allowance, amongst other benefits. International (ie, outside UK) applicants are welcome. The BBSRC project "Unravelling adaptive and flexible learning behaviour under social dynamics in health and disease" is in collaboration with Dr. Matthew Apps (Birmingham). Link to details: https://www.findaphd.com/phds/project/unravelling-adaptive-and-flexible-learning-behaviour-under-social-dynamics-in-health-and-disease/?p152464 The MRC Project "Neurocomputational mechanisms of self-referencing in social anxiety" is in collaboration with Dr. Patricia Lockwood (Birmingham), Dr. Mark Haselgrove (Nottingham) and Dr. Mona Garvert (London, as Industry Partner) Link to details: https://www.findaphd.com/phds/project/neurocomputational-mechanisms-of-self-referencing-in-social-anxiety/?p152387 Interested candidates should first send their CV and a short statement of research intentions by 9th January 2023 to Dr. Lei Zhang ( l.zhang.13 at bham.ac.uk) before applying through the schemes, as only a small number of applicants can be put forward. Informal inquiries should also be directed to Dr. Lei Zhang. Many thanks, Lei Dr. Lei Zhang Principal Investigator/Associate Professor Centre for Human Brain Health & Institute for Mental Health School of Psychology University of Birmingham, UK e: l.zhang.13 at bham.ac.uk w: lei-zhang.net t: @lei_zhang_lz -------------- next part -------------- An HTML attachment was scrubbed... URL: From david at irdta.eu Sat Dec 31 13:09:33 2022 From: david at irdta.eu (David Silva - IRDTA) Date: Sat, 31 Dec 2022 19:09:33 +0100 (CET) Subject: Connectionists: DeepLearn 2023 Summer: early registration January 21 Message-ID: <1173036677.1169529.1672510173939@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://irdta.eu/deeplearn/2023su/ ************************************************************************ Co-organized by: University of Las Palmas de Gran Canaria Institute for Research Development, Training and Advice ? IRDTA Brussels/London ************************************************************************ Early registration: January 21, 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 16 four-hour and a half courses and 2 keynote lectures, 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: (to be completed) Aidong Zhang (University of Virginia), Concept-Based Models for Robust and Interpretable Deep Learning PROFESSORS AND COURSES: (to be completed) Eneko Agirre (University of the Basque Country), [introductory/intermediate] Natural Language Processing in the Large Language Model Era Tae-Kyun Kim (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Deep 3D Pose Estimation Marcus Liwicki (Lule? University of Technology), [intermediate/advanced] Methods for Learning with Few Data Ivan Oseledets (Skolkovo Institute of Science and Technology), [tba] Tensor Methods for Approximation of High-Dimensional Arrays and Their Applications in Machine Learning Carlo Sansone (University of Naples Federico II), tba Ponnuthurai N. Suganthan (Nanyang Technological 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 Z. Jane Wang (University of British Columbia), [introductory/intermediate] Adversarial Deep Learning in Digital Image Security & Forensics Li Xiong (Emory University), [introductory] Deep Learning and Privacy Enhancing Technology 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: Carlos Mart?n-Vide (Tarragona, program chair) Sara Morales (Brussels) David Silva (London, organization chair) REGISTRATION: It has to be done at https://irdta.eu/deeplearn/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 will be available in due time at https://irdta.eu/deeplearn/2023su/accommodation/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. Participants will be recognized 2 ECTS credits by University of Las Palmas de Gran Canaria. 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 -------------- next part -------------- An HTML attachment was scrubbed... URL: From xiao at gmu.edu Sat Dec 31 15:33:12 2022 From: xiao at gmu.edu (Xuesu Xiao) Date: Sat, 31 Dec 2022 20:33:12 +0000 Subject: Connectionists: [meetings] [news] Online Submission Open: 2nd Benchmark for Autonomous Robot Navigation (BARN) Challenge -- ICRA 2023 Competition Message-ID: <91C65DE3-7C3E-4E18-913F-EBF6FF001C46@gmu.edu> Submission Form: https://docs.google.com/forms/d/e/1FAIpQLScYKxIZ2HYSDMLx3BxlYkxugmpy1OrrewYk_MSlDOv2hei7LQ/viewform?usp=sf_link Competition Website: https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge23.html Participation Instructions: https://github.com/Daffan/nav-competition-icra2022 Lessons Learned from The BARN Challenge 2022 Last Year: https://cs.gmu.edu/~xiao/papers/barn22_report.pdf Dear roboticists, are you interested in agile robot navigation in highly constrained spaces with a lot of obstacles around, e.g., cluttered households or after-disaster scenarios? Do you think mobile robot navigation is mostly a solved problem? Are you looking for a hands-on project for your robotics class, but may not have (sufficient) robot platforms for your students? If your answer is yes to any of the above questions, we sincerely invite you to participate in our (2nd) ICRA 2023 BARN Challenge (https://cs.gmu.edu/~xiao/Research/BARN_Challenge/BARN_Challenge23.html)! The BARN Challenge aims at evaluating state-of-the-art autonomous navigation systems to move robots through highly constrained environments in a safe and efficient manner. The task is to navigate a standardized Clearpath Jackal robot from a predefined start to a goal location as quickly as possible without any collision. The challenge will take place both in the simulated BARN dataset and in physical obstacle courses at ICRA2023. 1. The competition task is designing ground navigation systems to navigate through all 300 BARN environments (https://cs.gmu.edu/~xiao/Research/BARN/BARN.html) and physical obstacle courses constructed at ICRA2023 as fast as possible without collision. 2. The 300 BARN environments can be the training set for learning-based methods, or to design classical approaches in. During the simulation competition, we will generate another 50 unseen environments unavailable to the participants before the competition. 3. We will standardize a Jackal robot in the Gazebo simulation, including a Hokuyo 2D LiDAR, motor controller of 2m/s max speed, etc. 4. Participants can use any approaches to tackle the navigation problem, such as using classical sampling-based or optimization-based planners, end-to-end learning, or hybrid approaches. We will provide baselines for reference. 5. A standardized scoring system is provided on the website. 6. We will invite the top teams in simulation to compete in the real world. The team who achieves the fastest collision-free navigation in the physical obstacle courses wins. If you are interested in participating, please submit your navigation system at https://docs.google.com/forms/d/e/1FAIpQLScYKxIZ2HYSDMLx3BxlYkxugmpy1OrrewYk_MSlDOv2hei7LQ/viewform?usp=sf_link Co-Organizers: Xuesu Xiao (George Mason University / Everyday Robots) Zifan Xu (UT Austin) Garrett Warnell (US Army Research Lab / UT Austin) Peter Stone (UT Austin / Sony AI) Sponsor: Clearpath Robotics, https://clearpathrobotics.com/ Thanks Xuesu ----------------------- Xuesu Xiao, Ph.D. -- Assistant Professor Department of Computer Science George Mason University xiao at gmu.edu https://cs.gmu.edu/~xiao/ -- Roboticist Everyday Robots xuesuxiao at google.com https://everydayrobots.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: