From daniela.annunziata at unina.it  Tue Sep  1 04:33:39 2026
From: daniela.annunziata at unina.it (DANIELA ANNUNZIATA)
Date: Tue, 1 Sep 2026 08:33:39 +0000
Subject: Connectionists: [Deadline Extended] FIDTA 2026 @ ACM MobiHoc 2026 -
 New Submission Deadline: September 7
Message-ID: <DU2PR02MB77491F485D041E5D28E8D0A0EDA82@DU2PR02MB7749.eurprd02.prod.outlook.com>

Dear Colleagues,
We are pleased to announce that the paper submission deadline for FIDTA 2026 - the 2nd Workshop on Federated Intelligence and Digital Twins for Autonomous Systems and IoT, co-located with ACM MobiHoc 2026, has been extended.
New submission deadline: September 7, 2026 (23:59 AoE)
Previous deadline: August 31, 2026
FIDTA 2026 will take place on November 26, 2026, in Tokyo, Japan.
The workshop welcomes original research contributions at the intersection of Federated Learning, decentralized artificial intelligence, Digital Twin technologies, and distributed intelligent systems, with applications to IoT, mobile, autonomous, edge, and resource-constrained environments.
Important Dates

  *   Extended paper submission deadline: September 7, 2026
  *   Notification of acceptance: September 21, 2026
  *   Camera-ready deadline: September 30, 2026
  *   Workshop date: November 26, 2026

Workshop website:
https://modal-unina.github.io/FIDTA2026/
Submission portal:
https://fidta2026.hotcrp.com/
We look forward to receiving your submissions.
Best regards,
The FIDTA 2026 Organizing Committee

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From epiasini at sissa.it  Tue Sep  1 05:53:21 2026
From: epiasini at sissa.it (Eugenio Piasini)
Date: Tue, 1 Sep 2026 09:53:21 +0000
Subject: Connectionists: 2026 INCTN meeting @ Trieste,
 Italy - 22-24 Sept - abstract submission deadline approaching
In-Reply-To: <VI1PR0301MB665326FDA3DADD447688CF47B2F72@VI1PR0301MB6653.eurprd03.prod.outlook.com>
References: <VI1PR0301MB665326FDA3DADD447688CF47B2F72@VI1PR0301MB6653.eurprd03.prod.outlook.com>
Message-ID: <VI1PR0301MB66534F7CA43579761B216DE9B2AA2@VI1PR0301MB6653.eurprd03.prod.outlook.com>

Dear all,

This is a reminder that the registration deadline for the 2026 meeting of the Italian Network for Computational and Theoretical Neuroscience (INCTN) is approaching. Please register here<https://indico.sissa.it/event/190/> by September 3rd if you are planning to attend!

We look forward to seeing you in Trieste!

The organisers: Francesca Mastrogiuseppe, Eugenio Piasini, and Sebastian Goldt
https://inctn.it/




________________________________
From: Eugenio Piasini <epiasini at sissa.it>
Sent: Tuesday, June 30, 2026 14:02
Subject: 2026 INCTN meeting @ Trieste, Italy - 22-24 Sept - abstract submission deadline approaching

Dear all,

This is a reminder that the abstract submission deadline is approaching for the 2026 meeting of the Italian Network for Computational and Theoretical Neuroscience, which will take place from September 22-24th in Trieste.

Submit your abstract by July 10th!

We look forward to a great programme with invited and contributed talks on Computational, Theoretical, and Systems Neuroscience, led by keynotes from M?t? Lengyel, Sandro Romani, and Fanny Cazettes. We will also have a number of contributed talks and poster sessions to give everybody an opportunity to share their research; and finally, there will be ample time for discussions by the sea side.

Please visit our website to see the full lineup of invited speakers and for more information:

https://inctn.it/

or register directly here<https://indico.sissa.it/event/190/>.

We look forward to seeing you all in Trieste !

The organisers: Francesca Mastrogiuseppe, Eugenio Piasini, and Sebastian Goldt
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From michele.ferrante at nih.gov  Tue Sep  1 14:09:36 2026
From: michele.ferrante at nih.gov (Ferrante, Michele (NIH/NIMH) [E])
Date: Tue, 1 Sep 2026 18:09:36 +0000
Subject: Connectionists: The NIH BRAIN Theories,
 Models and Methods Program Application Information
Message-ID: <DS0PR09MB1101025DFD2C1DE2B7C08EA0195A82@DS0PR09MB11010.namprd09.prod.outlook.com>

The BRAIN Theories, Models and Methods (TMM) program<https://grants.nih.gov/grants/guide/rfa-files/RFA-DA-27-004.html> (RFA DA 27 004) supports the development and validation of innovative and rigorous theories, models and methods to advance the quantitative and predictive understanding of brain function across scales, including behavior.

The program emphasizes tools that develop novel approaches for analyzing, integrating, and interpreting large-scale, complex data emerging from the BRAIN initiative and related efforts, including cell-type specific physiological, anatomical, connectivity, and behavioral data.

Applications should focus on one or more of the following:

  *   new or significantly advanced theories of brain function
  *   mechanistic and/or predictive models of neural circuit activity and behavior grounded in empirical data
  *   novel computational or statistical methods for analyzing neural and behavioral datasets.

Tools for analyzing brain activity must:

  *   use data with cellular and sub-second temporal resolution (e.g., single-unit recordings, cellular imaging, connectomics) OR integrate information across multiple, clearly defined temporal scales (e.g., from synaptic events to learning).
  *   Approaches relying solely on non-invasive, low-resolution signals (e.g., scalp EEG, fMRI BOLD) must be directly integrated with and constrained by cellular/circuit-level data.
  *   Tools for analyzing behavior  must incorporate neural data AND span multiple relevant temporal scales.
  *   Experimental work must be limited to estimating model parameters and/or testing the validity of the TMM tools being delivered.

Theories, models and methods using disease or treatment paradigms are not responsive unless used to understand underlying functional and brain circuits.
Important Deadlines:

  *   New submissions: October 6, 2026
  *   Resubmission/Renewal applications: November 6, 2026
Please send specific aims pages and inquiries to: BRAINTheoriesFOA at ninds.nih.gov.<mailto:BRAINTheoriesFOA at ninds.nih.gov> We are happy to consult on fit with the program.

Regards,
Michele
---
Michele Ferrante, Ph.D.
Program Officer, Digital & Computational Psychiatry Program<https://www.nimh.nih.gov/about/organization/dtr/adult-psychopathology-and-psychosocial-interventions-research-branch/translational-digital-and-computational-psychiatry-program>
National Institute of Mental Health
National Institutes of Health
6001 Executive Blvd, North Bethesda, MD 20852, Rm 6233
Book a meeting<https://outlook.office.com/bookwithme/user/a331ae09be8247768979e9279dc478ce at nih.gov?anonymous&ep=bwmEmailSignature>

[cid:image001.png at 01DD3A1B.83DDEBB0]<https://commonfund.nih.gov/primed-ai/news/apply-nih-common-fund-primed-ai-funding-opportunities>

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From stolu at dtu.dk  Tue Sep  1 12:04:17 2026
From: stolu at dtu.dk (Silvia Tolu)
Date: Tue, 1 Sep 2026 16:04:17 +0000
Subject: Connectionists: =?utf-8?q?PhD_Position_in_Modeling_and_Control_of?=
 =?utf-8?q?_Parkinson=E2=80=99s_Disease?=
Message-ID: <AM9P192MB091983EEC731B1F338B17F7ECFA82@AM9P192MB0919.EURP192.PROD.OUTLOOK.COM>

?The NRT-LAB at DTU, Denmark, is currently recruiting a new PhD student to contribute to the modeling and control of Parkinson?s Disease.
More info:

https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_2001/job/7986/?utm_medium=jobshare&utm_source=External+Job+Share

Please feel free to share with your colleagues!

The application deadline is: 9.09.2026
Start: Feb. 2027

If you have questions about this position, please reach out!




Best regards / Med Venlig Hilsen<https://en.wiktionary.org/wiki/med_venlig_hilsen>,

[cid:image001.png at 01DD087D.F015FD10]
[A logo for a lab  Description automatically generated]<https://www.linkedin.com/company/dtu-nrtlab/>
Silvia Tolu
Associate Professor
Control, Robotics and Embodied AI (CREA)
NRT-LAB leader
Technical University Hospital Coordinating Professor
Department of Electrical and Photonics Engineering (DTU ELECTRO)
Elektrovej
Building 326, room 106
2800 Kgs. Lyngby
Email: stolu at dtu.dk<mailto:stolu at dtu.dk>
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From jose at rubic.rutgers.edu  Tue Sep  1 14:07:09 2026
From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=)
Date: Tue, 1 Sep 2026 18:07:09 +0000
Subject: Connectionists: Fwd: Deadline October 1: Student Travel Fellowships
 Offered for 4th Annual Interdisciplinary Tutorial Workshop on Aging & Brain
 Health (Deer Valley Ski Resort, Park City, Utah; Jan. 5-7, 2027)
In-Reply-To: <70A36A7D-D065-42EA-8C0C-174D64C1ED73@newark.rutgers.edu>
References: <70A36A7D-D065-42EA-8C0C-174D64C1ED73@newark.rutgers.edu>
Message-ID: <5989faf9-61e7-4e3e-b3b8-6049a6cdf3df@rubic.rutgers.edu>

Please contact gluck at newark.rutgers.edu<mailto:gluck at newark.rutgers.edu> for any questions


Stephen

Deadline is October 1 (one month from today) to apply for?

Fully-Funded Student Travel Fellowships to the

4th Annual Interdisciplinary Tutorial Workshop
on Aging & Brain Health

Deer Valley Ski Resort, Park City, Utah; Jan. 5-7, 2027

[SkiPoster2027-8.5x11 copy.jpeg]

https://brainhealth.rutgers.edu/brainski2027/

APPLY FOR STUDENT TRAVEL FELLOWSHIPS NO LATER THAN OCTOBER 1, 2026:

To learn how to apply for a student travel fellowships to cover travel (within USA), hotel, and registration see:

https://brainhealth.rutgers.edu/brainski2027/apply-for-a-student-travel-fellowship/

Depending on how much funding we raise, we will award up to 6 student travel fellowships to advanced-level graduate students who will soon be seeking a postdoctoral fellowship, as well as both college seniors and post-baccalaureate research assistants who are planning to apply to PhD programs (not medical school or other clinical programs) in the near future.

Fellowship includes:

     *   round-trip airfare within the United States (foreign applicants will be considered, but must agree to pay for their own airfare into the US)
     *   complimentary registration
     *   four-night?s hotel accommodation to be shared with one other fellow

Additional details of fellowship. All fellows will:

  *   Give a 3-minute BLITZ speech at start of conference with no notes and no slides (a.k.a. an ?elevator pitch?) summarizing their current research activities and goals.
  *   Be assigned a faculty-mentor from among the main speakers to have dinner with the first night who will also help introduce fellow to other speakers.
  *   Be assigned a ?near peer? mentor (a graduate student for undergrads and post-baccs; a postdoc for graduate students) to provide additional career mentoring and guidance, both during and after the meeting.
  *   Join an Early Career Grantsmanship breakfast the second day with grant-making officials and others who will provide one-on-one guidance on applying for fellowships and training grants.

HOW TO APPLY:

Applicants should submit their application as a single PDF titled:

<yourlastname>.<institution>.brainski2027.pdf

It should include three parts

(1) a cover letter describing past, current, and future research and career goals. List top three choices for faculty mentors from among the tutorial speakers.

(2) a resume/CV

(3) title and one-paragraph abstract summary of current research activities.

Combine all three elements into a single PDF named as above and email to gluck at rutgers.edu<mailto:gluck at rutgers.edu> with the header

?<Last Name>, <Institution> Application for Brainski 2027 Travel Fellowship?

Applications are due OCTOBER 1, 2027. Awardees will be notified within two weeks.

LIMITED BLITZ OPENINGS FOR POST-DOCTORAL FELLOWS

Although the financial support of travel fellowships are limited to students, and postdoctoral fellows are not eligible, we are able to offer a limited number of 3-minute blitz speaking spots to postdoctoral fellows who attend. These fellows are expected to register as regular attendees and pay for their own hotel and airfare costs. Email gluck at rutgers.edu<mailto:gluck at rutgers.edu> if interested with a proposed blitz title and abstract.

WHAT ARE THE MAIN TUTORIALS?

Over the course of 3 evenings (4-7pm, after ski lifts close) we have a series of about two dozen 12-minute elementary tutorials, plus some shorter blitz talks by the students. These tutorials should be accessible to a broad audience of people in other disciplines with different backgrounds from the speaker ? thus, no jargon, no acronyms.  The format of talks is akin to a TED-talk. Important Note:  These are *not* intended to be reviews of the speaker's own research. We limit the total number of slides to 20 (max of 2 data panels or figures per slides) of which no more than 4 can be from the speaker's own research lab. Think of these as collegial continuing-education tutorials at an advanced undergraduate level. We ask everyone to end their tutorial with a summary of Key Future Directions, Knowledge Gaps, & Opportunities for Cross-Disciplinary Collaboration.

EVENT LOGISTICS:

January 5-7, 2027, at Deer Valley Ski Resort in Park City, Utah (45 minute shuttle or uber from SLC airport, with direct flights from all over). Nice hotel at base of mountain: The Lodges at Deer Valley. We plan for breakfasts together as a group (included in group hotel rate) and 2 out of 3 evenings we have group dinners arranged at the hotel. Generous time is allowed for breaks. For those who don?t ski or snowboard (which is usually about half the attendees), lots of other mountain recreation is available, as well as spas, and a nice hotel pool and hot tub. The historic mining town of Park City is nearby to explore.  We will organize some non-skiing group outings for attendees.  This is a family-friendly event, and some attendees bring along partners and their children.

WHY NO ZOOM/HYBRID OPTION?

We envision these tutorials as the start of informal interdisciplinary conversations that will continue throughout the three days over breakfasts, dinners, breaks, in the hot tub, or on the chairlifts. Ideally, these in-person conversations will lead to new friendships and new cross-disciplinary collaborations. Because these unstructured informal one-on-one and small group discussion are a core raison d??tre for this meeting, there is no zoom/hybrid option to attend or to speak.

YOU CAN ALSO MAKE A TAX-DEDUCTIBLE DONATION TO SUPPORT STUDENT TRAVEL FELLOWSHIPS:!

Each year, we award 4 to 6 travel fellowships to students who are planning careers in research on healthy aging and Alzheimer?s disease prevention. Fellowships cover their travel, hotel, and registration fees. In addition, we offer a variety of faculty and near-peer mentoring programs for these students, both during and after the conference, as well as a special session with NIH staff to advise them on fellowship and grant opportunities for early career researchers. If you, or anyone you know, would consider making a fully tax-deductible donation (to the Rutgers Foundation, a 501c3 non-profit) of $2,500 to support a student travel fellow, please contact me at gluck at rutgers.edu<mailto:gluck at rutgers.edu> and/or see our donor link at:

https://brainhealth.rutgers.edu/brainski2027/support-for-student/

Donors who attend the conference can be seated with their awardee at the opening dinner.

WE STILL HAVE SPACE FOR LESS THAN 15 MORE ADDITIONAL REGULAR ATTENDEES (CONFERENCE TOTAL ATTENDANCE LIMITED TO 50 PEOPLE).

To register, visit:

https://brainhealth.rutgers.edu/brainski2027/registration-and-payment-brainski-2027/

Note that there are two steps to registering: (1) Registering online with all your information, and (2) Paying the Registration Fee of $350/person (includes two dinners). Both steps are required. Note that on completion of Step 1 you will be redirected automatically to Step 2. Registrations are not confirmed until payment is made. Because the banquet room and conference facility hold a maximum of 50 people (including the speakers), registration will close as soon a we have 50 confirmed and paid registrants. This will likely happen by early fall.

Information about hotel accommodations at or near the conference venue can be found at:

https://brainhealth.rutgers.edu/brainski2027/hotel-information/


Main Faculty Tutorials:

TENTATIVE PARTIAL PROGRAM FOR JANUARY 5-7, 2027
(4-7pm each day)

Charly Abi-Ghanem (Psychology, Binghamton U.), ?Sex-specific therapeutic interventions for cognitive decline and dementia.?

Joshua Miller (Nutritional Sciences, Rutgers U.), ?Can vitamin supplements promote healthy aging??

Xiaoping Hu (Bioengineering, UC Riverside), ?The role of the locus coraleus in neurodegeneration.?

Michelle Mielke (Epidemiology, Wake Forest U.), ?Influence of sociocultural factors on sex differences in dementia risk.?

Rebecca Cunningham (Pharmacy, U. N. Texas), ?Contextual influences on sex hormones in the brain.?

Holly Jimison &  Misha Pavel (Computer Science, Northeastern). ?AI-based monitoring for enhancing aging in place.

Sarah Hopp (Pharmacology, UT San Antonio). ?How do blood pressure drugs protect the brain from neurodegeneration??

Cierra Keith (Behavioral Medicine, W. Virginia U.), ?Integrating biomarkers and cognition in dementia assessment?

Jennifer Smith (Epidemiology, U. Michigan). ?Epigenetics of cognitive aging?

Kristen Kennedy (Psychology, U. T. Dallas), ?How and why we measure white matter (axonal) integrity in aging?.

Johanna Seitz (Psychiatry, Harvard Medical School), ?Mental health challenges in aging.?

Nathan Wages (Rehabilitation, Rutgers U.), ?How to improve mobility and physical function in the elderly?

Shellie-Anne Levy (Psychology, U. Florida), ?Beyond risk: Resilience in cognitive aging?

Kelly Nudelman, (Genetics, Indiana U.) ?An update on genetics of Alzheimer?s disease?

Chandramallika Basak (Psychology, U.T., Dallas) ?Cognitive training in aging and Mild Cognitive Impairment

Todd Horowitz (National Institute on Aging, NIH), ?A view of NIH from the inside?

Drew Headley (Neuroscience, Rutgers-Newark). ?Rat models of Alzheimer?s Disease?

Special Panel on Gut Microbiome in Aging and Alzheimer?s Disease

Colin Combs (Medicine, U. N. Dakota), ?Gut microbiome in Alzheimer?s disease, I: Animal models?

Tengteng Wang (Medicine, Rutgers U.), ?Gut microbiome in Alzheimer?s disease, II: Human clinical studies ?

Laura Cox (Neuroscience, Harvard U.) ?Gut microbiome in Alzheimer?s disease, III: Sex differences?



PAST YEARS: SEE SPEAKERS, TOPICS, & (for 2026) LINKS TO PDFs of SLIDES

2026: https://brainhealth.rutgers.edu/aspen2026/conference-speakers-and-tutorials-planned/
2025: https://brainhealth.rutgers.edu/aspen2025/conference-speakers-and-tutorials/
2024: https://brainhealth.rutgers.edu/workshop/conference-program-and-speakers/


_______________________

Dr. Mark A. Gluck,
Professor of Neuroscience and Public Health
Director, Aging & Brain Health Alliance
Rutgers University?Newark
197 University Avenue
Newark, New Jersey   07102

http://www.brainhealth.rutgers.edu<http://www.brainhealth.rutgers.edu/>



--
[cid:part2.l0sQqvH8.5fOyxU0p at rubic.rutgers.edu]
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From cms at hum.ku.dk  Tue Sep  1 15:08:00 2026
From: cms at hum.ku.dk (Camilo Miguel Signorelli)
Date: Tue, 1 Sep 2026 19:08:00 +0000
Subject: Connectionists: Models of Consciousness 2026 - Copenhagen -
	Registration deadline
Message-ID: <139ce48e79f848b09866e8ea122503cd@hum.ku.dk>

Dear colleagues,

Apologies in advance for any cross-communication.

As chair of the Models of Consciousness Conference 2026<https://amcs-community.org/events/moc7-2026/> (12-16 October 2026, Copenhagen), I would like to call your attention to this year's program, including the first transdisciplinary collaborative exercise to clarify concepts and set future priorities in the field.

We have announced the project and conference across several channels. Due to technical issues, the information was not shared on the connectionist list.

The official registration deadline was yesterday, 31st of August 2026<https://amcs-community.org/moc7-registration/><https://amcs-community.org/moc7-registration/>. We will keep the link online only till this Saturday, 5th, at the latest.

With more than 270 abstracts submitted, we are close to our maximum capacity. Late registration may be possible as long as we have spots left. Do not hesitate to reach out via DM or via the official MoC email.

Abrazos,

PS: For news about the project during MoC, you can also follow the MoC official LinkedIn<https://www.linkedin.com/company/modelsofconsciousness/posts/?feedView=all><https://www.linkedin.com/company/modelsofconsciousness/posts/?feedView=all> account.

PhD. DPhil. Camilo Miguel Signorelli | ConScience CPAI
Department of Communication
University of Copenhagen
Karen Blixens Plads 8
2300 K?benhavn S
cms at hum.ku.dk<mailto:cms at hum.ku.dk>


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From christine.Basta at alexu.edu.eg  Tue Sep  1 13:17:58 2026
From: christine.Basta at alexu.edu.eg (christine.Basta)
Date: Tue, 1 Sep 2026 17:17:58 +0000
Subject: Connectionists: =?utf-8?q?Extension_of_the_deadline-_The_7th_Work?=
 =?utf-8?q?shop_on_Gender_Bias_in_NLP_=28GeBNLP_2026=29_=C2=A0=C2=A0=C2=A0?=
 =?utf-8?b?wqDCoMKgwqDCoMKgwqDCoMKgwqDCoMKg?=
Message-ID: <PA4PR05MB9635751672F8094DCFFEF14CD7A82@PA4PR05MB9635.eurprd05.prod.outlook.com>


Extension of the deadline (7th September (AOE))

The 7th Workshop on Gender Bias in NLP (GeBNLP 2026)

5th AACL & 15th IJCNLP, November 9, 2026  (Remote-only mode)

About the Workshop

The GeBNLP workshop<https://gebnlp-workshop.github.io/> serves as a leading venue for the study, evaluation, and mitigation of gender bias in natural language processing. As large language models (LLMs) become foundational to recent NLP applications, addressing how these systems represent and affect different genders, alongside intersecting demographic axes such as race, ethnicity, nationality, religion, and ability, remains a critical challenge for the AI community. While foundational progress has been made in algorithmic debiasing and balanced data collection, recent large-scale evaluations reveal that state-of-the-art models continue to exhibit persistent stereotypes and confidence disparities across intersectional identities (Siddique et al., 2024; Savoldi et al., 2024). Our workshop serves as a multidisciplinary bridge, enabling researchers to define shared standards for tasks and metrics that ensure technical advancements are deeply rooted in the social and ethical realities of systemic harm (Dai et al., 2024).

Topics of Interest

We invite submissions on a wide range of topics related to gender bias in NLP, including but not limited to:

  *   Measurement and Evaluation: New metrics and datasets for quantifying bias in LLMs, MT, and multimodal systems.
  *   Mitigation Strategies: Technical approaches to debiasing (e.g., fine-tuning, adapter-based methods, or prompting strategies).
  *   Multilingual and Cross-Cultural Perspectives: Bias in low-resource languages or non-Western cultural contexts.
  *   Intersectionality: Research exploring how gender bias intersects with race, disability, age, or nationality.
  *   Ethical and Legal Frameworks: Policy implications and the "Human-in-the-loop" role in auditing AI systems.

Authors are encouraged to go beyond binary gender definitions and discuss how their work addresses the complexity of intersecting stereotypes and the diverse demographic contexts involved.

Submission Guidelines

  *   Long Papers are up to 8 pages and short Papers are up to 4 pages (excluding references and appendix).
  *   Non-Archival Submissions: Authors may opt for non-archival submission, allowing work of standard conference quality to be presented without being published in the official proceedings.
  *   Submission Link<https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/GeBNLP_Direct_Submission> (Blind submission is required)

Important Dates

  *   Paper Submission Deadline: Wednesday, September 7, 2026
  *   Pre-reviewed (ARR) submission deadline: Tuesday, September 29, 2026
  *   Notification of Acceptance: Friday, October 2, 2026
  *   Camera-Ready Version Due: Monday, October 12, 2026
  *   Workshop Date: Monday, November 9, 2026


Paper Integrity Policy (Important)

We endorse the <https://2026.emnlp.org/paper-integrity-policy/> EMNLP 2026 Paper Integrity Policy<https://2026.emnlp.org/paper-integrity-policy/>. Submissions that misuse AI, include hallucinated citations, present thinly sliced contributions, or are entirely AI-generated may be desk rejected. <https://www.aclweb.org/adminwiki/index.php/ACL_Policy_on_Publication_Ethics#Guidelines_for_Generative_Assistance_in_Authorship> AI-assisted writing is permitted<https://www.aclweb.org/adminwiki/index.php/ACL_Policy_on_Publication_Ethics#Guidelines_for_Generative_Assistance_in_Authorship>, provided authors remain responsible for the work.

Organizers

Giuseppe Attanasio, Instituto de Telecomunica??es, Lisbon

Christine Basta, Alexandria University & HiTZ, University of the Basque

Agnieszka Fale?ska, University of Stuttgart

Vera Neplenbroek, University of Amsterdam

Debora Nozza, Bocconi University

Karolina Sta?czak, ETH AI Center, Zurich

Marta R. Costa-juss?, FAIR, Meta

Christian Hardmeier, IT university of Copenhagen



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From brainandmorelab at gmail.com  Tue Sep  1 17:15:21 2026
From: brainandmorelab at gmail.com (Brain and More Lab)
Date: Tue, 1 Sep 2026 23:15:21 +0200
Subject: Connectionists: =?utf-8?q?Linking_EEG_Functional_Connectivity_and?=
	=?utf-8?q?_Excitation=E2=80=93Inhibition_Balance_to_Biophysical_Si?=
	=?utf-8?q?mulation_in_Alzheimer=27s_Disease_on_Neuromorphic_hardwa?=
	=?utf-8?q?re=2E_GPU-Neuromorphic_porting?=
Message-ID: <CAL6UC2A7WX3vEGgSjydZX=ECMHeUhr-LGDs2gATj3rGrufAnkQ@mail.gmail.com>

Dear all,

we just published this "Linking EEG Functional Connectivity and
Excitation?Inhibition Balance to Biophysical Simulation in Alzheimer's
Disease" on Neurocomputing:
https://www.sciencedirect.com/science/article/pii/S0925231226022885

Apart the signature of inbalance excitatory/inhibitory in EEG and Nest
simulation.
One of the linking elements was using explainable AI during a
classification with spiking neural networks (SNN). I get to the point of
this mail:

1. We tested spiking neural networks on GPU and on neuromorphic hardware
(Spinnaker 2). Training a model on GPU and then
redeploying it on Spinnaker2
2. For those interested here https://github.com/alecrimi/neurobridge
you can find the porting for the rate-encoding SNN from GPU to Spinnaker.
It is not a library but notebooks.

3. We could not make work the  latency-encoded SNN on Spinnaker. We know
why (see the paper) but if anyone has a solution. Please reach out.

Best,

Szymon, Max and Alex
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From camilo.miguel.signorelli at gmail.com  Wed Sep  2 04:39:42 2026
From: camilo.miguel.signorelli at gmail.com (Camilo Miguel Signorelli)
Date: Wed, 2 Sep 2026 10:39:42 +0200
Subject: Connectionists: Models of Consciousness 2026 - Copenhagen -
	Registration deadline
Message-ID: <CAG9zXpBsRVmMZCHBcuaubM96YdzncDqeANWMKLkqZ8NAu-40LQ@mail.gmail.com>

Dear colleagues,


Apologies in advance for any cross-communication.

As chair of the* Models of Consciousness Conference 2026
<https://amcs-community.org/events/moc7-2026/>* (12-16 October 2026,
Copenhagen), *I would like to call your attention to this year's program,
including the first transdisciplinary collaborative exercise *to clarify
concepts and set future priorities in the field.

We have announced the project and conference across several channels. Due
to technical issues with the connectionist list, the information was
not shared.

*The official registration deadline was last *31st of August 2026
<https://amcs-community.org/moc7-registration/>
<https://amcs-community.org/moc7-registration/>. We will keep the link
online till this *Saturday, the 5th, or Monday, the 7th of September*, at
the latest.

With more than 270 abstracts submitted, we are close to our maximum
capacity. Late registration may be possible as long as we have spots left.
Do not hesitate to reach out via DM or via the official MoC email.

Abrazos,

PS: For news about the project during MoC, you can also follow the *MoC*
* official **LinkedIn*
<https://www.linkedin.com/company/modelsofconsciousness/posts/?feedView=all>*
<https://www.linkedin.com/company/modelsofconsciousness/posts/?feedView=all>*
 account.

   -



*PhD. DPhil. Camilo Miguel Signorelli | ConScience CPAI*
Department of Communication
University of Copenhagen
Karen Blixens Plads 8
2300 K?benhavn S
cms at hum.ku.dk
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From bruno.vento at unina.it  Wed Sep  2 06:10:03 2026
From: bruno.vento at unina.it (bruno.vento)
Date: Wed, 02 Sep 2026 12:10:03 +0200
Subject: Connectionists: =?utf-8?q?Call_for_Papers_=E2=80=93_Visual_Percep?=
 =?utf-8?q?tion_enabling_Autonomous_Navigation_=28VP-NAV=29_=7C_Image_and_?=
 =?utf-8?q?Vision_Computing?=
Message-ID: <c785b508d87ecb4213c4aa5bc23af06a@unina.it>

Dear Colleagues,

We are pleased to invite submissions to the Special Issue "Visual 
Perception enabling Autonomous Navigation (VP-NAV)" of Image and Vision 
Computing.

Autonomous navigation is playing an increasingly important role across 
intelligent transportation, environmental monitoring, smart agriculture, 
service robotics, and industrial automation. Visual perception 
represents a key enabling technology, allowing autonomous systems to 
sense, interpret, and interact with complex and dynamic environments. 
This Special Issue focuses on recent advances in visual perception 
technologies supporting autonomous navigation, including onboard and 
infrastructure-based sensing, robust scene understanding, multimodal 
perception, real-time processing, and collaborative sensing across 
distributed systems.

Topics of interest include, but are not limited to:
* Visual perception systems for autonomous vehicles, mobile robots, 
drones, and automated machinery;
* Object detection, tracking, classification, and scene understanding 
for navigation;
* Multi-modal sensor fusion (e.g., combining vision with LiDAR, radar, 
and IMU) for autonomous navigation;
* Learning-based perception systems (e.g., deep learning and foundation 
models) for autonomous navigation;
* Distributed visual sensing in smart cities, factories, and 
agricultural fields;
* Vision-based SLAM, mapping, and localization in dynamic or 
unstructured environments;
* Real-time perception and edge computing for onboard and distributed 
systems;
* Collaborative and V2X-enabled perception between vehicles, robots, and 
infrastructure;
* Visual perception for service and assistive robotics in indoor and 
semi-structured environments;
* Robust visual perception under challenging conditions (e.g., poor 
lighting, adverse weather, and occlusions);
* Data generation, simulation environments, and benchmark datasets for 
training and evaluation.

Manuscript Submission
The Special Issue is open for submissions from September 1, 2026, to 
December 31, 2026. Manuscripts must be submitted through the Elsevier 
submission system for Image and Vision Computing. During the submission 
process, authors should select the article type: "VSI: VP-NAV". All 
manuscripts will undergo the journal's standard peer-review process and 
will be evaluated according to originality, significance, technical 
quality, and clarity. Authors are requested to prepare their manuscripts 
in accordance with the Image and Vision Computing Guide for Authors and 
the journal's editorial requirements. Accepted articles will be made 
available online following acceptance and will be published in a regular 
issue of the journal while also being simultaneously collected within 
the online Special Issue. Official information regarding the Special 
Issue, manuscript preparation, and submission procedure is available 
through the ScienceDirect Special Issue page and the Image and Vision 
Computing submission platform.

Guest Editors
Antonio Greco - Executive Guest Editor - Tenure-Track Associate 
Professor
University of Salerno, Italy
Email: agreco at unisa.it

Modesto Castrill?n-Santana - Guest Editor - Full Professor
Universidad de Las Palmas de Gran Canaria, Spain
Email: modesto.castrillon at ulpgc.es

Giovanna Castellano - Guest Editor - Full Professor
University of Bari - Aldo Moro, Italy
Email: giovanna.castellano at uniba.it

Bruno Vento - Guest Editor - Post-doc Researcher
Consorzio Interuniversitario Nazionale per l'Informatica, Italy
Email: brunovento.it at gmail.com

We look forward to receiving your contributions and would appreciate 
your help in sharing this CFP with colleagues and researchers who may be 
interested in the Special Issue.

Best regards,
The Guest Editors
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From emergingtechnetwork.publicity at gmail.com  Wed Sep  2 06:45:05 2026
From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=)
Date: Wed, 2 Sep 2026 13:45:05 +0300
Subject: Connectionists: CSTA 2026: The IEEE co-sponsored International
 Conference on Cybersecurity Systems, Technologies and Applications,
 8 - 10 December, 2026 | San Antonio, USA.
Message-ID: <CAE5tuR6D-vZGmj2Ovgsny-UTHVTZpJmy9B36L6yff9rU-hnB=Q@mail.gmail.com>

[Apologies if you got multiple copies of this invitation]

The International Conference on Cybersecurity Systems, Technologies and
Applications (CSTA 2026)

https://emergingtechnet.org/CSTA2026/index.php

8 - 10 December, 2026 | San Antonio, USA.

Hybrid Event and Technically Co-Sponsored by IEEE Lone Star Section


*CSTA 2026 CFP:*

The International Conference on Cybersecurity Systems, Technologies and
applications (CSTA 2026) is a lively and inclusive gathering where
researchers, academics, and industry professionals from across the globe
come together to explore the latest advancements in Cybersecurity Systems
and intelligent systems. Cybersecurity Systems received a lot of attention
as AI continues to reshape industries and push the boundaries of what?s
possible. CSTA 2026 creates a welcoming space for innovation,
collaboration, and the exchange of ideas in the Cybersecurity domain. CSTA
2026 serves as a premier platform for researchers, academics, and industry
professionals to converge and explore the latest advancements, challenges,
and applications in the dynamic fields of Cybersecurity Models and Systems.
The International Conference on Cybersecurity Systems, Technologies and
applications (CSTA 2026) aims to bring together leading researchers,
academics, and practitioners from around the world to share their latest
findings, innovations, and applications in Artificial Intelligence and
intelligent systems. CSTA 2026 provides a premier interdisciplinary
platform for presenting advances and exchanging insights on the theoretical
foundations, cutting-edge technologies, and real-world implementations of
AI. CSTA 2026 will feature keynote talks, technical paper sessions,
workshops, and tutorials covering a wide range of Cybersecurity topics. We
invite submissions of high-quality research papers describing original and
unpublished results in all areas of Artificial Intelligence Systems.
addresses the use of advanced intelligent systems in providing
cybersecurity solutions in many fields, and the challenges, approaches, and
future directions. We invite the submission of original papers on all
topics related to Intelligent Systems with special interest in but not
limited to:

?       Cybersecurity and Data-Driven Systems

?       Cybersecurity based Machine Learning and Data-Driven Systems

?       Cybersecurity and Multimodal AI

?       Cybersecurity for Generative AI, Foundation Models, and Large
Language Models

?       Cybersecurity Computer Vision, Image and Video Processing Systems

?       Cybersecurity in Generative AI, Foundation Models, and Large
Language Models

?       Artificial Intelligence Systems Security

?       Computational Language and Human-Centered Systems

?       Cybersecurity for Cloud, Edge systems

?       Cybersecurity Applications

*Submissions Guidelines and Proceedings*

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Length of short papers can
be up to 6 pages. Submitted papers must present original unpublished
research that is not currently under review for any other conference or
journal. All submissions are peer-reviewed by at least three reviewers.
Accepted papers will appear in the conference Proceeding, and to be
submitted to IEEE Xplore for inclusion.

*Important Dates:*

   - *Paper submission deadline: 10 September 2026*
   - Notification of acceptance: 1 November 2026
   - Camera-ready Submission: 15 November 2026



*Contact:*



Please send any inquiry on CSTA to: emergingtechnetwork at gmail.com
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From bruno.vento at unina.it  Wed Sep  2 08:34:24 2026
From: bruno.vento at unina.it (bruno.vento)
Date: Wed, 02 Sep 2026 14:34:24 +0200
Subject: Connectionists: =?utf-8?q?Call_for_Papers_=26_Contest_Participati?=
 =?utf-8?q?on_=E2=80=93_WasteVision_2027_=40_WACV_2027?=
Message-ID: <23f61c2428f5ca86b5da6e6bcf684f73@unina.it>

Dear Colleagues,

We are pleased to invite submissions and participation in WasteVision 
2027 - International Workshop on Smart Waste Monitoring, organized in 
conjunction with WACV 2027, and in the Second International Illegal 
Waste Dumping Detection (IWDD) Contest. The workshop focuses on recent 
advances in Artificial Intelligence and Computer Vision for intelligent 
waste monitoring, illegal dumping detection, environmental surveillance, 
and real-world deployment. The increasing environmental and economic 
impact of improper waste disposal calls for robust, efficient, and 
scalable vision-based solutions capable of operating under challenging 
and heterogeneous conditions.

WasteVision 2027 - Call for Papers
WasteVision 2027 provides a forum for researchers, practitioners, and 
industry representatives to present and discuss novel methodologies, 
datasets, benchmarks, and applications for smart waste and environmental 
monitoring. Topics of interest include, but are not limited to:

- Image analysis for waste detection and classification;
- Video analysis for waste tracking and management;
- Computer Vision methods for illegal waste disposal detection;
- Multimodal systems for dumping identification;
- Remote sensing and UAV-based waste monitoring;
- Video and image analytics for pollution tracking;
- Datasets and benchmarks for waste and pollution monitoring;
- Applications and real-world case studies.
- Workshop Submission Rules
- Regular papers exceeding five pages are invited;
- Papers must follow the official WACV 2027 formatting guidelines;
- Submissions will undergo peer review through Microsoft CMT;

Accepted papers will be published in the WACV 2027 Workshops 
Proceedings.

IWDD Contest 2027 - Second Edition
The International Illegal Waste Dumping Detection Contest aims to 
advance real-time detection of illegal dumping events in videos acquired 
by fixed CCTV cameras, with particular attention to solutions suitable 
for smart cameras and embedded systems. Participants will work with the 
MIVIA-IWDD dataset, containing 500 videos:

- 250 positive videos:
- 125 static disposal events;
- 125 dynamic disposal events;
- 250 negative videos.

Positive videos include temporal annotations identifying the beginning 
of each dumping event. Submitted methods will be evaluated on a private 
test set using Precision, Recall, and F1-Score, with F1-Score as the 
main ranking criterion. GPU memory consumption will be used as a 
secondary criterion when methods achieve comparable performance.

Contest Rules
Participants can request access to the training data and annotations by 
contacting the organizers and specifying their team name. External 
training data may also be used. Each method submission must include:

- Trained model;
- Complete source code;
- Technical report;
- test.py script for processing test videos;
- test.ipynb Google Colab notebook for dependency installation and 
execution;
- All additional resources required to reproduce the method.

Participants are also strongly encouraged to submit a contest paper 
describing their methodology and results. Contest papers must follow the 
official WACV 2027 formatting requirements and, if accepted, will be 
published in the WACV 2027 Workshops Proceedings.

Important Dates
- WasteVision Regular Paper Submission: October 10, 2026 - 23:59 AoE
- IWDD Contest Method Submission: October 10, 2026 - 23:59 AoE
- IWDD Contest Paper Submission: October 15, 2026 - 23:59 AoE
- Decision Notification: October 30, 2026 - 23:59 AoE
- Camera-Ready Submission: November 15, 2026 - 23:59 AoE

Organizing Committee
Antonio Greco
University of Salerno, Italy
agreco at unisa.it

Carlo Sansone
University of Naples Federico II, Italy
carlo.sansone at unina.it

Bruno Vento
CINI - Consorzio Interuniversitario Nazionale per l'Informatica, Italy
brunovento.it at gmail.com

For complete submission instructions, dataset access procedures, 
evaluation details, templates, and updates, please visit:

WasteVision 2027:
https://mivia.unisa.it/wastevision2027/

IWDD Contest 2027:
https://mivia.unisa.it/iwddcontest2027/

For further information, please contact:
wastevision2026 at unisa.it

We look forward to your submissions and participation in WasteVision 
2027 and IWDD Contest 2027.

Best regards,
The WasteVision 2027 Organizing Committee
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From aidhwp1 at gmail.com  Wed Sep  2 10:33:39 2026
From: aidhwp1 at gmail.com (aidhwp)
Date: Wed, 2 Sep 2026 23:33:39 +0900
Subject: Connectionists: (Deadline Extended to Sep. 25,
 2026) IEEE HITC Awards - Call for Nomination - 2026
Message-ID: <CADaqwytLzLUyBf3aiwOJiYfFQq8kUSwrd2JqY-Y8yZQpg0TM+w@mail.gmail.com>

Dear Colleagues,

Please accept our sincere apologies if you receive multiple copies of this
message.

The IEEE Technical Committee on Hyper-Intelligence (HITC) is a technical
committee within IEEE Systems Council, aimed at fostering research and
education in hyper-intelligent systems with applications. The IEEE
Technical Committee on Hyper-Intelligence (HITC) solicits nominations for
its 2026 awards. Each award includes a plaque presented at a selected IEEE
HITC sponsored conference, along with a public citation on the IEEE HITC
website. The committee solicits nominations of

- Early Career Researcher (ECR) Award (
https://hyper-intelligence.org/award-early.html)
- Middle Career Researcher (MCR) Award (
https://hyper-intelligence.org/award-middle.html)
- Technical Achievement Award (
https://hyper-intelligence.org/award-achievement.html)
- Outstanding PhD Dissertation Award (
https://hyper-intelligence.org/award-thesis.html)
- Industrial Impact Award (
https://hyper-intelligence.org/award-industrial.html)


-------------
Submissions:
Nominations must be submitted via email (as a single PDF file) to the Award
Selection Secretary, Xiaokang Zhou (zhou at kansai-u.ac.jp), and CC the
Committee Chair, Laurence T. Yang (ltyang at ieee.org). The subject of the
nomination email should be named as: HITC + Award Category + Nominee, e.g.
HITC-Early Career Award-Obama.

-------------
Important Dates:
- Nomination Deadline: September 25, 2026 (Extended)
- Results Notification: October 2, 2026 (Extended)

-------------
Award Selection Committee:
- Laurence T. Yang (Chair), Zhengzhou University, China (ltyang at ieee.org)
- Flavia C. Delicato, Fluminense Federal University, Brazil (
felipe at cos.ufrj.br)
- Bernady O. Apduhan, Kyushu Sangyo University, Japan (bob at is.kyusan-u.ac.jp
)
- Anna Kobusi?ska, Poznan University of Technology, Poland (
Anna.Kobusinska at cs.put.poznan.pl)
- Klimis Ntalianis, University of West Attica, Greece (kntal at image.ntua.gr)

-------------
Award Selection Secretary:
- Xiaokang Zhou, Kansai University, Japan (zhou at kansai-u.ac.jp)

-------------
Award & Presentation Note:
Awardees will be presented a plaque and will be recognized by IEEE HITC in
its website, newsletter and archives. The awards for 2026 will be presented
at AI for Science Congress 2026 (IEEE HITC sponsored conference) - Kuala
Lumpur, Malaysia, 27-30 December, 2026.


=============
IEEE HITC Award for Excellence for Early Career Researchers - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Early Career
Researchers) recognizes up to 5 individuals who have made outstanding,
influential, and potentially long-lasting contributions in the field of
hyper-intelligent systems. Typically, the candidates are within 5 years of
receiving their PhD degree as of January 01 of the year of the award.

-------------
Nominations:
A candidate may be nominated by members of the community. An individual may
nominate at most one candidate for this award. A nomination application (as
a single PDF file) should contain the following details:
? Name/email of person making the nomination (self-nominations are not
eligible).
? Name/email of candidate for whom the award is recommended.
? A statement by the nominator (maximum of 500 words) as to why the nominee
is highly deserving of the award both on excellence and in relation to IEEE
HITC.
? CV of the nominee.
? Up to three support letters from persons other than the nominator ? these
should be collected by the nominator and included in the nomination.
Members of selection committee cannot be nominators or referees.


=============
IEEE HITC Award for Excellence for Middle Career Researchers - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Middle Career
Researcher) recognizes up to 3 individuals who have made distinguished,
influential, and on-going yet towards long-lasting contributions in the
field of hyper-intelligent systems with applications. Typically, the
candidates are within 5 to 15 years of receiving their PhD degree as of
January 01 of the year of the award.

-------------
Nominations:
A candidate must be nominated by members of the community. A nomination
application (as a single PDF file) must consist of the following materials:
? Name/email of person making the nomination (self-nominations are not
eligible).
? Name/email of the nominee.
? A statement by the nominator (maximum of 500 words) as to why the nominee
is highly deserving of the award both on excellence and in relation to IEEE
HITC.
? CV of the nominee.
? Up to three support letters from persons other than the nominator-these
should be collected by the nominator and included in the nomination.


=============
IEEE HITC Award for Excellence for Technical Achievement - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Technical
Achievement) is awarded for significant and sustained contributions to the
hyper-intelligent systems community through the Technical Committee on
Hyper-Intelligence (HITC), coupled with an outstanding record of high
quality and high impact research. The award contains a plaque.

-------------
Nominations:
A candidate may be nominated by colleagues/HITC members or may nominate
him/her-self. An individual can nominate at most one candidate for this
award. The candidate must be an IEEE and HITC member in good standing. A
nomination application (as a single PDF file) should contain the following
details:
? Professional Employment Affiliations: List the nominee's current
professional affiliations and titles.
? Citation: Give a brief citation (thirty words or less) precisely stating
the most salient reason(s) why the nominee is qualified for the award.
? Technical Contributions: Describe the nominee's technical achievements in
scalable computing as well as significance and impact. (Max 2-page length)
? HITC Contribution: Describe the candidate?s service and specific
contributions to HITC. (Max 2-page length)
? Endorsers: Each nomination must be supported by letter from three at
least endorsers. An endorser can endorse only one candidate for this award.
The endorsers will be required to comment on the nominee's technical
contributions as well as service contributions to the HITC. The endorsement
letters should be included in the nomination package.


=============
IEEE HITC Outstanding PhD Dissertation Award - 2026

The IEEE HITC Outstanding PhD Dissertation Award is an annual award to
recognize candidates that have recently received a PhD degree for no more
than 2 years and have written an outstanding PhD dissertation in the field
of the hyper-intelligent systems with applications. This award is
established to encourage doctoral research that combines theory and
practice or makes in-depth technical contributions, having the potential to
contribute to the IEEE HITC.

-------------
Nominations:
A candidate may be nominated by members of the community. An individual may
nominate at most one candidate for this award. A nomination application (as
a single PDF file) must consist of the following materials:

? Name/email of person making the nomination (self-nominations are not
eligible).
? Name/email of candidate.
? A statement by the nominator (maximum of 500 words) as to why the nominee
is highly deserving of the award and a brief summary of the service
contributions.
? CV of the nominee.
? A doctoral dissertation written by the applicant in any language, no more
than 2 years prior to the submission deadline.
? A summary of the dissertation in English of up to 2 pages in length
written by the PhD candidate, highlighting the significance of the problem,
the technical approach taken, and the application context and potential.
? Sample published paper(s) in English based on the dissertation written
primarily by the PhD candidate in scientific journals, especially IEEE
Transactions/Journals.
? Listing of all publications by the applicant in the related field.
? A letter of recommendation from the applicant?s dissertation advisor that
assesses the significance of the research, attests to the originality of
the work, and comments on the engagement of the applicant in the HITC field.
? Up to three support letters from persons other than the nominator; these
should be collected by the nominator and included in the nomination.


=============
IEEE HITC Award for Excellence for Industrial Impact Award - 2026

The HITC Award for Excellence in Hyper-Intelligence (Industrial Impact
Award) recognizes up to 3 individuals or small companies who have made
distinguished, influential, and on-going yet towards long-lasting
contributions in the field of hyper-intelligent systems with applications.

-------------
Nominations:
A candidate must be nominated by members of the community. A nomination
application (as a single PDF file) must consist of the following materials:
? Name/email of person making the nomination (self-nominations are not
eligible).
? Name/email of the nominee.
? A statement by the nominator (maximum of 500 words) as to why the nominee
is highly deserving of the award both on excellence and in relation to IEEE
HITC.
? CV of the nominee or supporting materials of the company showing the
current impact/potential impact of the innovation (max 20-page length)
? Up to three support letters from persons other than the nominator-these
should be collected by the nominator and included in the nomination.
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From jinyuedeng at 163.com  Wed Sep  2 23:19:52 2026
From: jinyuedeng at 163.com (=?UTF-8?Q?=E9=82=93=E9=87=91=E7=8E=A5______?=)
Date: Thu, 3 Sep 2026 11:19:52 +0800 (CST)
Subject: Connectionists: IEEE HITC Awards - Call for Nomination - 2026
Message-ID: <70d63693.32f0.1a06547b3a4.Coremail.jinyuedeng@163.com>

Dear Colleagues,

Please accept our sincere apologies if you receive multiple copies of this message.

The IEEE Technical Committee on Hyper-Intelligence (HITC) is a technical committee within IEEE Systems Council, aimed at fostering research and education in hyper-intelligent systems with applications. The IEEE Technical Committee on Hyper-Intelligence (HITC) solicits nominations for its 2026 awards. Each award includes a plaque presented at a selected IEEE HITC sponsored conference, along with a public citation on the IEEE HITC website. The committee solicits nominations of

- Early Career Researcher (ECR) Award (https://hyper-intelligence.org/award-early.html)
- Middle Career Researcher (MCR) Award (https://hyper-intelligence.org/award-middle.html)
- Technical Achievement Award (https://hyper-intelligence.org/award-achievement.html)
- Outstanding PhD Dissertation Award (https://hyper-intelligence.org/award-thesis.html)
- Industrial Impact Award (https://hyper-intelligence.org/award-industrial.html)


-------------
Submissions:
Nominations must be submitted via email (as a single PDF file) to the Award Selection Secretary, Xiaokang Zhou (zhou at kansai-u.ac.jp), and CC the Committee Chair, Laurence T. Yang (ltyang at ieee.org). The subject of the nomination email should be named as: HITC + Award Category + Nominee, e.g. HITC-Early Career Award-Obama.

-------------
Important Dates:
- Nomination Deadline: September 25, 2026 (Extended)
- Results Notification: October 2, 2026 (Extended)

-------------
Award Selection Committee:
- Laurence T. Yang (Chair), Zhengzhou University, China (ltyang at ieee.org)
- Flavia C. Delicato, Fluminense Federal University, Brazil (felipe at cos.ufrj.br)
- Bernady O. Apduhan, Kyushu Sangyo University, Japan (bob at is.kyusan-u.ac.jp)
- Anna Kobusi?ska, Poznan University of Technology, Poland (Anna.Kobusinska at cs.put.poznan.pl)
- Klimis Ntalianis, University of West Attica, Greece (kntal at image.ntua.gr)

-------------
Award Selection Secretary: 
- Xiaokang Zhou, Kansai University, Japan (zhou at kansai-u.ac.jp)

-------------
Award & Presentation Note:
Awardees will be presented a plaque and will be recognized by IEEE HITC in its website, newsletter and archives. The awards for 2026 will be presented at AI for Science Congress 2026 (IEEE HITC sponsored conference) - Kuala Lumpur, Malaysia, 27-30 December, 2026.



=============
IEEE HITC Award for Excellence for Early Career Researchers - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Early Career Researchers) recognizes up to 5 individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of hyper-intelligent systems. Typically, the candidates are within 5 years of receiving their PhD degree as of January 01 of the year of the award.

-------------
Nominations: 
A candidate may be nominated by members of the community. An individual may nominate at most one candidate for this award. A nomination application (as a single PDF file) should contain the following details:
? Name/email of person making the nomination (self-nominations are not eligible).
? Name/email of candidate for whom the award is recommended.
? A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE HITC.
? CV of the nominee.
? Up to three support letters from persons other than the nominator ? these should be collected by the nominator and included in the nomination. Members of selection committee cannot be nominators or referees.



=============
IEEE HITC Award for Excellence for Middle Career Researchers - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Middle Career Researcher) recognizes up to 3 individuals who have made distinguished, influential, and on-going yet towards long-lasting contributions in the field of hyper-intelligent systems with applications. Typically, the candidates are within 5 to 15 years of receiving their PhD degree as of January 01 of the year of the award.

-------------
Nominations: 
A candidate must be nominated by members of the community. A nomination application (as a single PDF file) must consist of the following materials:
? Name/email of person making the nomination (self-nominations are not eligible).
? Name/email of the nominee.
? A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE HITC.
? CV of the nominee.
? Up to three support letters from persons other than the nominator-these should be collected by the nominator and included in the nomination.



=============
IEEE HITC Award for Excellence for Technical Achievement - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Technical Achievement) is awarded for significant and sustained contributions to the hyper-intelligent systems community through the Technical Committee on Hyper-Intelligence (HITC), coupled with an outstanding record of high quality and high impact research. The award contains a plaque.

-------------
Nominations:
A candidate may be nominated by colleagues/HITC members or may nominate him/her-self. An individual can nominate at most one candidate for this award. The candidate must be an IEEE and HITC member in good standing. A nomination application (as a single PDF file) should contain the following details:
? Professional Employment Affiliations: List the nominee's current professional affiliations and titles.
? Citation: Give a brief citation (thirty words or less) precisely stating the most salient reason(s) why the nominee is qualified for the award.
? Technical Contributions: Describe the nominee's technical achievements in scalable computing as well as significance and impact. (Max 2-page length)
? HITC Contribution: Describe the candidate?s service and specific contributions to HITC. (Max 2-page length)
? Endorsers: Each nomination must be supported by letter from three at least endorsers. An endorser can endorse only one candidate for this award. The endorsers will be required to comment on the nominee's technical contributions as well as service contributions to the HITC. The endorsement letters should be included in the nomination package.



=============
IEEE HITC Outstanding PhD Dissertation Award - 2026

The IEEE HITC Outstanding PhD Dissertation Award is an annual award to recognize candidates that have recently received a PhD degree for no more than 2 years and have written an outstanding PhD dissertation in the field of the hyper-intelligent systems with applications. This award is established to encourage doctoral research that combines theory and practice or makes in-depth technical contributions, having the potential to contribute to the IEEE HITC.

-------------
Nominations:
A candidate may be nominated by members of the community. An individual may nominate at most one candidate for this award. A nomination application (as a single PDF file) must consist of the following materials:

? Name/email of person making the nomination (self-nominations are not eligible).
? Name/email of candidate.
? A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award and a brief summary of the service contributions.
? CV of the nominee.
? A doctoral dissertation written by the applicant in any language, no more than 2 years prior to the submission deadline.
? A summary of the dissertation in English of up to 2 pages in length written by the PhD candidate, highlighting the significance of the problem, the technical approach taken, and the application context and potential.
? Sample published paper(s) in English based on the dissertation written primarily by the PhD candidate in scientific journals, especially IEEE Transactions/Journals.
? Listing of all publications by the applicant in the related field.
? A letter of recommendation from the applicant?s dissertation advisor that assesses the significance of the research, attests to the originality of the work, and comments on the engagement of the applicant in the HITC field.
? Up to three support letters from persons other than the nominator; these should be collected by the nominator and included in the nomination.


=============
IEEE HITC Award for Excellence for Industrial Impact Award - 2026

The HITC Award for Excellence in Hyper-Intelligence (Industrial Impact Award) recognizes up to 3 individuals or small companies who have made distinguished, influential, and on-going yet towards long-lasting contributions in the field of hyper-intelligent systems with applications.

-------------
Nominations: 
A candidate must be nominated by members of the community. A nomination application (as a single PDF file) must consist of the following materials:
? Name/email of person making the nomination (self-nominations are not eligible).
? Name/email of the nominee.
? A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE HITC.
? CV of the nominee or supporting materials of the company showing the current impact/potential impact of the innovation (max 20-page length)
? Up to three support letters from persons other than the nominator-these should be collected by the nominator and included in the nomination.

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From fxcosta at ucp.pt  Thu Sep  3 03:00:00 2026
From: fxcosta at ucp.pt (Felipe Xavier Costa)
Date: Thu, 3 Sep 2026 07:00:00 +0000
Subject: Connectionists: =?utf-8?b?8J+ThSBGaW5hbCBFeHRlbnNpb24g4oCTIFN1?=
 =?utf-8?q?bmit_Your_Paper_to_COMPLEX_NETWORKS_2026_by_Sept_13?=
Message-ID: <AM7PR01MB66596ED9DDAD447993A5FBB1C2A82@AM7PR01MB6659.eurprd01.prod.exchangelabs.com>

Dear authors,
Due to popular demand, the submission deadline for COMPLEX NETWORKS 2026 has been extended to September 13, 2026.
This is your final opportunity to contribute to a leading international conference on complex systems, computational social science, and network theory.
? We welcome:

  *
Full Papers (12 pages) ? Springer LNCS proceedings
  *
Extended Abstracts (4 pages) ? Book of Abstracts (with ISBN)

? Keynotes include: Alexandra Brintrup, Nitesh Chawla, Kimmo Kaski, Bruno Lepri, Eckehard Scholl
? Tutorials (December 1): Fariba Karimi, Huijuan Wang
? Journals: Selected papers may be invited to PLOS Complex Systems, Entropy, Applied Network Science, and more.
? Conference Dates: December 2?4, 2026 in Granada, Spain
? Upload your manuscript and join the conversation:
? https://complexnetworks.org/submission/
Warm regards,
On Behalf of The COMPLEX NETWORKS 2026 Team,
Felipe Xavier Costa, PhD
Postdoctoral Researcher

https://fxcosta-phd.github.io/

Universidade Cat?lica Portuguesa

www.cbr.fm.ucp.pt
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From emanuele.nardone at unicas.it  Thu Sep  3 04:30:40 2026
From: emanuele.nardone at unicas.it (Emanuele NARDONE)
Date: Thu, 3 Sep 2026 10:30:40 +0200
Subject: Connectionists: [BDCC] [Special Issue] - AI-Driven Pattern
 Recognition for Next-Generation Biometrics
Message-ID: <CAJTF1NT+keauLfN6FnErx_rbQE9XMeEV57eVxRrWYLnu3HayAw@mail.gmail.com>

? Warm greetings from the Editorial Office of Big Data and Cognitive
Computing (BDCC).

? BDCC currently has an Impact Factor of 4.4 and a CiteScore of 9.8. The
journal is indexed in Scopus, ESCI (Web of Science), dblp, Inspec, Ei
Compendex, and other major databases. Further information about the journal
is available at: https://www.mdpi.com/journal/BDCC

? We are pleased to invite submissions to the Special Issue ?AI-Driven
Pattern Recognition for Next-Generation Biometrics?, which will be
published in BDCC. The submission deadline is 26 February 2027.

? Further details about the Special Issue are available here:
https://www.mdpi.com/journal/BDCC/special_issues/7YDN2807HK

? Topics of interest include, but are not limited to:

? Artificial intelligence
? Biometrics
? Pattern recognition
? Cognitive computing
? Multi-modal fusion
?? Security and spoof detection
? IoT and smart environments
? Privacy-preserving authentication

? As BDCC is a fully open-access journal, an article processing charge
(APC) of CHF 1800 currently applies to all accepted papers. MDPI also
offers an Institutional Open Access Program (IOAP), through which authors
affiliated with participating institutions may be eligible for APC
discounts: https://www.mdpi.com/about/ioap

?? Review vouchers may also be used where applicable. Further information
about discounts and waivers is available at: https://www.mdpi.com/apc

? Thank you in advance for your consideration. For any questions regarding
APC discounts, please feel free to contact Vega Wang at vega.wang at mdpi.com.

? We look forward to receiving your submissions.

Kind regards,
*Emanuele Nardone*
AI Researcher
University of Eastern Finland
[image: linkedin icon] <http://www.linkedin.com/in/emanuelenardone>
Email:
emanuele.nardone at uef.fi
emanuele.nardone at unicas.it
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From fzenke at gmail.com  Thu Sep  3 04:37:56 2026
From: fzenke at gmail.com (Friedemann Zenke)
Date: Thu, 3 Sep 2026 10:37:56 +0200
Subject: Connectionists: Announcing SNUFA 2026: Nov 4-5 (online) - Abstract
 submission and registration now open!
Message-ID: <228ef7aa-d7d5-48b5-b7f1-363eab481204@gmail.com>

We are happy to announce SNUFA 2026, taking place 4-5 November 2026 
(online)---your friendly online focus meeting on spiking neural networks 
that compute. Abstract submission and registration are now open!

See https://snufa.net/2026 for details.

This year's invited speakers are Giulia D'Angelo (Czech Technical 
University in Prague), Eugene Izhikevich (Brain Corp and DeepSpike), 
Mihai Petrovici (University of Bern), and Susanne Schreiber (Humboldt 
University).

Like every year, the workshop brings together researchers in 
computational neuroscience, machine learning, and neuromorphic 
engineering to present their work and discuss how to translate these 
findings into a better understanding of neural circuits. Topics include 
artificial and biologically plausible learning algorithms and the 
dissection of trained spiking circuits toward understanding neural 
processing. We have a manageable number of talks with ample discussion time.

Attendance is free, but registration is required.

Abstract submission deadline: September 25, 2026 (anywhere on earth)

SNUFA 2026 is brought to you by Sacha van Albada, Jason Eshraghian, Dan 
Goodman, and Friedemann Zenke

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

https://snufa.net/2026
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From jamaltoutouh at gmail.com  Thu Sep  3 06:37:57 2026
From: jamaltoutouh at gmail.com (Jamal Toutouh)
Date: Thu, 3 Sep 2026 12:37:57 +0200
Subject: Connectionists: [CFP] evoApplications 30th International Conference
 on the Applications of Evolutionary Computation - 31 March - 2 April 2027
Message-ID: <CAM9XBaNf+BKq3jM78_5=j2OhxR84g8yER1a0jRwG8ug=8-5G2A@mail.gmail.com>

evoApplications - 30th International Conference on the Applications of
Evolutionary Computation. http://www.evostar.org/2027/evoapps/

Dear Colleague(s),

Below you will find the call for papers for evoApplications * 2027.
*Deadline*: November 1, 2026.        *Venue*: Mainz, Germany

Feel free to distribute and thank you for your time. Apologies for the
cross-posting.

EvoApplications, the International Conference on the Applications of
Evolutionary Computation -formerly known as EvoWorkshops- brings together
researchers in applications of Evolutionary Computation and other
Nature-inspired techniques.

EvoApplications invites high quality contributions for its 30th edition,
which will be held as part of the EvoStar 2027 event and co-located within
EvoStar with four related conferences: EuroGP, EvoCOP, EvoLearn, and
EvoMUSART.

The aim of EvoApplications is to create a friendly environment that can
lead to the establishment or strengthening of scientific collaborations and
exchanges among attendees.

Therefore, EvoApplications solicits high-quality original research papers
(including significant work-in-progress) on any aspect of applications of
Evolutionary Computation, both to real-world or methodological contexts in
which Evolutionary Computation can contribute to pushing the limits of the
state of the art beyond the present ones.

We encourage you to submit papers focused on interesting, relevant and
original works that are related to all kinds of applications of
Evolutionary Computation.

EvoApplications Conference Proceedings in SpringerLink
<https://link.springer.com/conference/evoapplications> (since 2009)
EvoWorkshops Conference Proceedings in SpringerLink
<https://link.springer.com/conference/evoworkshops> (from 1999 to 2008)

*Conference programme chairs*

   - *Josefa D?az-?lvarez*
   University of Extremadura
   *mjdiaz (at) unex.es <http://unex.es/>*
   - *Jamal Toutouh*
   University of Malaga
   *jamal (at) uma.es <http://uma.es/>*

*Publication chair*

   - *Harald Michael Ludwig*
   TU Wien, Austria
   *harald.ludwig (at) tuwien.ac.at <http://tuwien.ac.at/>*

*Submission Details*

Accepted papers will be published by Springer Nature in the Lecture Notes
in Computer Science series. Submissions must be original and not published
elsewhere. They will be peer reviewed by at least three members of the
program committee. The reviewing process will be *double-blind, so please
omit information about the authors in the submitted paper*.

Follow these instructions <https://www.evostar.org/2027/submit-paper/> to
submit a paper.

-- 
Jamal Toutouh El Alamin
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From btissam.errahmadi at gmail.com  Fri Sep  4 15:06:15 2026
From: btissam.errahmadi at gmail.com (Btissam Er-Rahmadi)
Date: Fri, 4 Sep 2026 20:06:15 +0100
Subject: Connectionists: [CFP][Deadline Extended] 3rd NORA Workshop
	@AACL-IJCNLP 2026
Message-ID: <CABo3L8_C2FqM5f_OQF5w57Jf-ZUw4v9RW8H-VkLBTy58cBYrsA@mail.gmail.com>

*Extended regular Submissions Deadline*: September 9th, 2026 September
14th, 2026


*Call For Papers*

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

*3rd* Workshop on KNOwledge GRaphs & Agentic Systems Interplay (*NORA*)

10 November 2026, Hengqin, China

Web: https://nora-workshop.github.io/AACL2026/

LinkedIn:
https://www.linkedin.com/company/nora-knowledge-graphs-agentic-systems-interplay

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

In conjunction with *AACL-IJCNLP 2026, November 6-10*

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

*Workshop Overview*

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

Agents have experienced significant growth in recent years, largely due to
the rapid technological advancements of Large Language Models (LLMs).
Although these agents benefit from LLMs? advanced generation proficiency,
they still suffer from catastrophic forgetting and a limited context window
size compared to the agents? needs in terms of contextual information.
Knowledge Graphs (KGs) are a powerful paradigm for structuring and managing
connected pieces of information while unlocking deeper insights than
traditional methods. Their value is immense for tasks that require context,
integration, inter-linking, and reasoning. However, this power comes at the
cost of significant upfront and ongoing investment in construction,
curation, and specialised expertise. The NORA workshop aims at analysing
and discussing emerging and novel practices, ongoing research efforts and
validated or deployed innovative solutions that showcase the growing
synergy between LLMs agents and KGs.

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

*Topics of Interest*

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

We welcome submissions and participation from intradisciplinary,
interdisciplinary and multidisciplinary researchers and industry & public
sector practitioners in the areas of Knowledge Graphs, Knowledge
Engineering and Reasoning, Advanced NLP, GenAI, and AI Agents. We
especially welcome contributions that provide theoretical insights, propose
new approaches, or introduce new grounded solutions in real-world
applications such as enterprise, smart assistance & chat, healthcare,
finance, tourism, etc.

We invite submissions in this non-exhaustive list of topics of interest,
including, but not limited to:

- Agents for Complex Reasoning over KGs

- Agents and KGs for private and proactive personal assistants &
Personalisation

- Architectures for Persistent Agent Memory

- Benchmarking Agent Memory Performance

- Collaborative & Shared Agent Memories

- Context Engineering enhanced by KGs

- Domain-Specific Memory Architectures

- From Unstructured Experience to Structured and Graph-Based Memory

- KGs serving agents' memories: Episodic (experiences, events, etc.),
Semantic (facts, concepts, etc.), and Procedural (skills, tasks, etc.)

- Memory Grounding & Hallucination Mitigation

- Memory Indexing & Retrieval for Agents

- Multi-Lingual & Multi-modal integrations

- Personalization vs. Generalization in Memory

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

*Important Dates Anywhere on Earth (AoE)*

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

- Regular Submissions Deadline: September 9th, 2026 September 14th, 2026

- ARR Commitment Deadline: September 14th, 2026

- Notification of Acceptance: October 1, 2026

- Camera-Ready Papers Due: October 12, 2026

- Workshop date: November 10th, 2026

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

Submission Guidelines, Policies, and Awards are available on the website.

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

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

*Organization*

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

- Btissam Er-Rahmadi, Independent Researcher, UK

- Sebastien Montella, Huawei Technologies R&D UK Ltd, UK

- Damien Graux, EcoVadis, UK

- Andre Melo, Huawei Technologies R&D UK Ltd, UK

- Hajira Jabeen, University Hospital Cologne, Germany



Best,

Btissam Er-Rahmadi
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From suashdeb at gmail.com  Sat Sep  5 01:51:09 2026
From: suashdeb at gmail.com (Suash Deb)
Date: Sat, 5 Sep 2026 11:21:09 +0530
Subject: Connectionists: Abt 2027 ISCMI (Fiji)
Message-ID: <CADq6yzaa0pYPWCu0CQaeY6zdXnfCWiwLU_cF+aOHFtHhgUZmxw@mail.gmail.com>

Dear Esteemed colleagues,


Thanks very much for your great support for the forthcoming 13th edition of
ISCMI, for which we have recd an overwhelming response to the cfp from the
peers of an array of nations.


Since the 2027 ISCMI has been preponed by 2 months, we have uploaded it's
homepage at the website of 2026 ISCMI. In order to get the relevant
information for 2027, to be held in Nadi, Fiji (Mini India), please visit

 https://iscmi.us/ISCMI2027.html


I solicit your help in sharing this with your peers and doctoral students
and motivate them to plan submissions and participate at ISCMI 2027.


Have a great weekend and with best regards,


Suash
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From tom.hanika at ismll.de  Fri Sep  4 10:09:07 2026
From: tom.hanika at ismll.de (Tom Hanika)
Date: Fri, 4 Sep 2026 16:09:07 +0200
Subject: Connectionists: PhD Position in Machine Learning,
	University of Hildesheim, Germany
Message-ID: <3b87e980-9549-4217-847f-c6fdc9dea2be@ismll.de>

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

TL; DR :

PhD Position in Machine Learning, University of Hildesheim, Germany,
Apply until 2026-09-18

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

Dear all,

the Information Systems and Machine Learning Lab (ISMLL) at the University
of Hildesheim, Germany, invites applications for a

 ? ? PhD Position in Machine Learning (m/f/d)
 ? ? TV-L E13, 100%, initially three years, Ref. 2026/121

The position is full-time, can be filled immediately, and is paid
according to TV-L E13 (roughly 57,000 EUR gross per year).

ISMLL is an international research group on machine learning, especially
predictive modelling and probabilistic methods for complex data and complex
decisions, with a track record at NeurIPS, ICML, ICLR, AAAI, ACM KDD and
ECML/PKDD. A core line of our work concerns time series forecasting for 
irregular and
probabilistic data, large language models and their efficiency, graph neural 
networks,
recommender systems, geometric and hyperbolic deep learning, neural
combinatorial optimization, and we take part in basic and applied research
projects in domains such as mobility, e-commerce and technology-enhanced
learning. The Institute of Computer Science has a strong focus on artificial
intelligence, with three chairs in the field.
See http://www.ismll.uni-hildesheim.de for more.

As a PhD student in our group you conduct research guided by a postdoc and
two professors, cooperate with academic and industrial partners on
real-world ML problems, and are encouraged to assist in teaching in our
International Master's Program in Data Analytics. The working language of
the group is English. Hildesheim is a town with UNESCO World Heritage
sites in the center of Germany, 30 km from Hanover and 1.5 hours by
high-speed train from Berlin.

We are looking for a gifted student who loves models, algorithms and data,
can hardly stop discussing them with others, likes to express their ideas
in formulas and programs, and now wants to get to the bottom of a complex
ML problem over the next three years. You should hold a recent Master's
degree in Computer Science, Mathematics, Statistics, Data Science or a
closely related area, and bring strong analytic and programming skills,
the ability to work independently, and strong interpersonal as well as
English language skills. A Master's thesis on an ML topic will be an
asset.

Please apply online under reference number 2026/121 at

https://www.ismll.uni-hildesheim.de/apply/

with your CV and transcripts, a research statement, and a PDF of a
technical text of yours, such as a first paper, your Master's thesis or a
seminar paper. Applications are reviewed as they arrive; the portal closes
once we have found our new PhD student, so early applications are
encouraged.

For questions, please contact Prof. Dr. Dr. Lars Schmidt-Thieme
<schmidt-thieme at ismll.uni-hildesheim.de> or Prof. Dr. Tom Hanika
<tom.hanika at uni-hildesheim.de>.

The University of Hildesheim places great importance on gender equality
and diversity and particularly wants to promote the professional equality
of women and men. In the case of equal qualification and suitability,
applications from applicants with severe disabilities will be given
preferential consideration. For university degrees obtained abroad, a
certificate evaluation by the Central Office for Foreign Education (ZAB,
https://zab.kmk.org/de/zeugnisbewertung) is required as proof of
equivalence before hiring; please apply for this in good time.

Best regards,
Tom Hanika

-- 
Prof. Dr. Tom Hanika (Co-Director)
Information Systems and Machine Learning Lab (ISMLL)
Institute of Computer Science,
University of Hildesheim, Germany
http://www.ismll.uni-hildesheim.de
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From hocine.cherifi at gmail.com  Mon Sep  7 02:12:11 2026
From: hocine.cherifi at gmail.com (Hocine Cherifi)
Date: Mon, 7 Sep 2026 08:12:11 +0200
Subject: Connectionists: =?utf-8?q?=5BCOMPLEX_NETWORKS_2026=5D_Final_week_?=
	=?utf-8?q?to_submit_=E2=80=94_deadline_September_13?=
Message-ID: <CAFX-JVvDybBEvVo3OqU-KZTOEPHNdO5=ZCAHY0kEzNCbpQO75w@mail.gmail.com>

Dear colleagues,

This is a short reminder that we are entering the final week to submit to
COMPLEX NETWORKS 2026.

? Final extended deadline: September 13, 2026

The 15th International Conference on Complex Networks and Their
Applications will take place in Granada, Spain, from December 2?4, 2026,
with tutorials on December 1.

? Submissions are invited in two formats:

? Full papers, up to 12 pages, for publication in the Springer proceedings
? Extended abstracts, up to 4 pages, for presentation at the conference and
publication in the Book of Abstracts with ISBN

We welcome contributions on network science, complex systems, graph
learning, computational social science, and applications of complex
networks across disciplines.

? Submission: https://complexnetworks.org/submission/
? Website: https://complexnetworks.org/

Please share this reminder with colleagues, students, postdocs, and young
researchers who may be interested.

Best regards,
The COMPLEX NETWORKS 2026 Organizing Committee
Join us at COMPLEX NETWORKS 2026 <https://www.complexnetworks.org/>
*-------------------------*
Hocine CHERIFI

Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS
Universit? Bourgogne Europe
Editor in Chief  Plos Complex Systems
<https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%20Systems%20will%20be,understand%20natural%20and%20chaotic%20systems.>
Founding & Adisory Editor Applied Network Science
<https://appliednetsci.springeropen.com/>

Editorial Board member IEEE ACCESS
<https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific
Reports <https://www.nature.com/srep/>,

Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and
Quantity <https://www.springer.com/journal/11135/>, Computational Social
Networks <https://computationalsocialnetworks.springeropen.com/>,
Complex Systems <https://www.complex-systems.com/> Evolutionary Intelligence
<https://link.springer.com/journal/12065>
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From b.d.tencate at uva.nl  Mon Sep  7 07:24:28 2026
From: b.d.tencate at uva.nl (Balder ten Cate)
Date: Mon, 7 Sep 2026 11:24:28 +0000
Subject: Connectionists: Assistant Professor "Machine Learning for Formal
 Reasoning and Verification" (University of Amsterdam)
Message-ID: <GV2PR10MB799264FD4D13A0D6ECB6508CDEB22@GV2PR10MB7992.EURPRD10.PROD.OUTLOOK.COM>



Assistant Professor Machine Learning for Formal Reasoning and Verification
University of Amsterdam (The Netherlands)

Deadline: 7 October 2026

The TCS-group of the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam is looking for an Assistant Professor to work on machine learning for formal reasoning and verification.

The position of Assistant Professor (Universitair Docent, UD) will be embedded within the Institute for Logic, Language and Computation (ILLC). The ILLC promotes curiosity-driven research and serves as a meeting point for computer scientists from traditional research fields ranging from AI, computer science, and mathematics to linguistics, cognitive science, and philosophy.

We are seeking candidates working at the intersection of artificial intelligence, machine learning, and formal reasoning. Relevant areas include, but are not limited to, automated reasoning, interactive theorem proving systems, formal verification, formalized mathematics, neuro-symbolic methods, and AI-assisted mathematical or logical reasoning.

We particularly welcome candidates whose work connects modern AI and machine learning with formal proof systems, interactive theorem provers, or proof assistants such as Lean, Rocq, or Isabelle. At the same time, we also encourage applications from researchers whose work engages more broadly with logic, reasoning, and theoretical computer science.

More information: https://www.illc.uva.nl/NewsandEvents/News/Positions/newsitem/16310/Assistant-Professor-Machine-Learning-for-Formal-Reasoning-and-Verification



Written on my phone, apologies for typos.
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From serafeim.perdikis at essex.ac.uk  Mon Sep  7 08:55:25 2026
From: serafeim.perdikis at essex.ac.uk (Perdikis, Serafeim)
Date: Mon, 7 Sep 2026 12:55:25 +0000
Subject: Connectionists:
 =?windows-1252?q?Essex_BCI-NE_webinar=3A_Designin?=
 =?windows-1252?q?g_optimal_training_protocols_and_feedback_by_Dr=2E_L=E9a?=
 =?windows-1252?q?_Pillette?=
In-Reply-To: <DB9PR06MB85601BDB70CE09F6CA2AC093A9AE2@DB9PR06MB8560.eurprd06.prod.outlook.com>
References: <DB9PR06MB85607F94642F679337B93808A9AE2@DB9PR06MB8560.eurprd06.prod.outlook.com>
 <DB9PR06MB85601BDB70CE09F6CA2AC093A9AE2@DB9PR06MB8560.eurprd06.prod.outlook.com>
Message-ID: <DB9PR06MB8560728D560587A213C900D2A9B22@DB9PR06MB8560.eurprd06.prod.outlook.com>

Dear all,

A gentle reminder for the next BCI-NE webinar this Wednesday at 2 PM UK time.

Best regards,

Dr Serafeim Perdikis, Associate Professor (Senior Lecturer)
Brain-Computer Interfaces and Neural Engineering Laboratory
School of Computer Science and Electronic Engineering
University of Essex
Wivenhoe Park, Colchester CO4 3SQ
United Kingdom


https://www.linkedin.com/company/essex-bcine-lab/

The Essex BCI-NE Lab invites you to join our next monthly webinar:

Designing Neurofeedback: How to Train People to Control Their Own Brain Activity?

Delivered by

Dr. L?a Pillette
SEAMLESS team, Research in Computer Science and Random Systems (IRISA), French National Centre for Scientific Research (CNRS), Rennes, France

The webinar will take place over Zoom on Wednesday, 9th September 2026, at 2 PM UK time
RSVP: https://www.linkedin.com/events/7498383525314789376


Abstract: Self-controlling one?s own brain activity is at the heart of neurofeedback and brain?computer interface (BCI) applications, such as supporting motor rehabilitation after stroke or controlling a videogame using only brain activity. Yet the mechanisms that enable people to learn this skill remain only partially understood. In this talk, I will present my previous research on how the feedback provided to users about their own brain activity shapes skill acquisition. Building on this, I will describe my current work investigating two main avenues to improve BCI user training. First, how to better exploit sensations, such as thermal ones, both to design innovative feedback, and to uncover new mental strategies for modulating brain activity. Second, how intelligent tutoring systems, i.e., digital technologies with educational aims, can be leveraged to personalize and improve BCI skill acquisition. Together, these lines of work highlight pathways toward more effective, individualized training protocols for brain self-regulation.


Speaker Biography: L?a Pillette is a CNRS researcher and member of the Seamless team at IRISA, Rennes, France, since 2022. She obtained her PhD in computer science from the University of Bordeaux in 2019. Her research focuses on developing innovative methods to train individuals to regulate their brain activity, enabling more accessible and effective use of brain-computer interfaces for applications such as medical interventions and virtual world interactions.

The Essex BCI-NE Lab webinars series takes place monthly (usually, on the second or third Wednesday of the month) over Zoom and is open to all. Speakers are invited to talk about their research for 45-50 minutes followed by Q&A.

Where speakers allow it, we record the talks and make them available to everyone on our YouTube channel. You can watch previous talks at: https://www.youtube.com/@essexbcis

If you don?t want to miss our next webinars, please email serafeim.perdikis at essex.ac.uk to ask to be added to our webinars mailing list.

Best wishes,
Simis


Dr Serafeim Perdikis, Associate Professor (Senior Lecturer)
Brain-Computer Interfaces and Neural Engineering Laboratory
School of Computer Science and Electronic Engineering
University of Essex
Wivenhoe Park, Colchester CO4 3SQ
United Kingdom
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From emergingtechnetwork.publicity at gmail.com  Mon Sep  7 09:55:26 2026
From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=)
Date: Mon, 7 Sep 2026 16:55:26 +0300
Subject: Connectionists: AISSA 2026: The IEEE co-sponsored International
 Conference on Artificial Intelligence Centric Systems, Services,
 and Applications, 8 - 10 December, 2026 | San Antonio, USA.
Message-ID: <CAE5tuR7D4Oo2AtC7nBnYaJ8u4h8vzD8thZFX7dJD5jrfXXd2QQ@mail.gmail.com>

[Apologies if you got multiple copies of this invitation]

The International Conference on Artificial Intelligence Centric Systems,
Services, and Applications (AISSA 2026)



https://emergingtechnet.org/AISSA2026/index.php

8 - 10 December, 2026 | San Antonio, USA.

Hybrid Event and Technically Co-Sponsored by IEEE Lone Star Section

*AISSA 2026 CFP:*

Artificial Intelligence (AI) systems are computational frameworks designed
to perform tasks that typically require human intelligence, such as
learning, reasoning, problem-solving, perception, and decision-making.
These systems integrate algorithms, data, and computing power to enable
machines to adapt and improve their performance over time. AI systems
encompass a wide range of technologies, including machine learning, natural
language processing, computer vision, and autonomous robotics, and they are
increasingly applied in domains such as healthcare, finance, cybersecurity,
transportation, and smart cities. As they continue to evolve, AI systems
are not only transforming industries and enhancing human capabilities but
also raising important considerations around ethics, transparency, and
trustworthiness. The International Conference on Artificial Intelligence
Centric Systems, Services, and Applications (AISSA 2026) aims to bring
together leading researchers, academics, and practitioners from around the
world to share their latest findings, innovations, and applications in
Artificial Intelligence and intelligent systems. AISSA 2026 provides a
premier interdisciplinary platform for presenting advances and exchanging
insights on the theoretical foundations, cutting-edge technologies, and
real-world implementations of AI. AISSA 2026 will feature keynote talks,
technical paper sessions, workshops, and tutorials covering a wide range of
AI topics. We invite submissions of high-quality research papers describing
original and unpublished results in all areas of Artificial Intelligence
Systems. addresses the use of advanced intelligent systems in providing
cybersecurity solutions in many fields, and the challenges, approaches, and
future directions. We invite the submission of original papers on all
topics related to Intelligent Systems with special interest in but not
limited to:

?       Machine Learning and Data-Driven Systems

?       Natural Language and Multimodal AI Systems

?       Generative AI, Foundation Models, and Large Language Models

?       Computer Vision, Image and Video Processing

?       Artificial Intelligence Systems Applications

?       Artificial Intelligence Systems Security

?       Computational Language and Human-Centered Systems

?       Prompt Engineering and Fine-tuning

?       Multimodal LLMs Systems

?       Agentic AI Systems

*Submissions Guidelines and Proceedings*

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Length of short papers can
be up to 6 pages. Submitted papers must present original unpublished
research that is not currently under review for any other conference or
journal. All submissions are peer-reviewed by at least three reviewers.
Accepted papers will appear in the conference Proceeding, and to be
submitted to IEEE Xplore for inclusion.

*Important Dates:*

   - *Paper submission deadline: 10 September 2026*
   - Notification of acceptance: 1 November 2026
   - Camera-ready Submission: 15 November 2026



*Contact:*



Please send any inquiry on AISSA to: emergingtechnetwork at gmail.com
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From khaled.shaalan at gmail.com  Tue Sep  8 05:04:10 2026
From: khaled.shaalan at gmail.com (Khaled Shaalan)
Date: Tue, 8 Sep 2026 13:04:10 +0400
Subject: Connectionists: =?utf-8?q?=5BCFP=5D_ACLing_2026_=E2=80=93_8th_Int?=
	=?utf-8?q?ernational_Conference_on_AI_in_Computational_Linguistics?=
	=?utf-8?q?_=7C_Submission_Deadline=3A_1_October_2026?=
Message-ID: <CAESFUpCxQ8wX3sPN+MZgQatCzoJ8Rp33mHva87TLe=zmKsa=rQ@mail.gmail.com>

============================================================
ACLing 2026
8th International Conference on AI in Computational Linguistics
25?26 November 2026 | Multi-Site Hybrid Conference

? The British University in Dubai (BUiD), Dubai, UAE
? Jadara University, Jordan
? Virtual Participation Worldwide

Publication: Procedia Computer Science by ELSEVIER
Conference Website: https://acling.org/
=======================================

CALL FOR PAPERS

The 8th International Conference on AI in Computational Linguistics (ACLing
2026) invites researchers, academics, practitioners, and industry
professionals worldwide to submit original research contributions in
Artificial Intelligence (AI), Natural Language Processing (NLP), Machine
Learning (ML), and Computational Linguistics.

ACLing 2026 will be held on 25?26 November 2026 as a Multi-Site Hybrid
Conference, connecting two physical conference hubs in Dubai, UAE, and
Jordan with synchronous virtual participation worldwide.

Authors may participate and present:
? In person at The British University in Dubai (BUiD), UAE
? In person at Jadara University, Jordan
? Virtually from anywhere in the world

Two Countries. Two Physical Hubs. One International Research Community.

============================================================
IMPORTANT DATES
===============

? Paper Submission Deadline: 1 October 2026
? Acceptance Notification: 20 October 2026
? Camera-Ready Submission: 30 October 2026
? Author Registration: 10 November 2026
? Conference: 25?26 November 2026

============================================================
PUBLICATION & VISIBILITY
========================

All accepted and presented papers will be published in Procedia Computer
Science (ISSN: 1877-0509) by ELSEVIER.

Peer-reviewed research articles published in Procedia Computer Science are:

? Published Open Access on ScienceDirect
? Assigned a DOI
? Indexed in Scopus
? Ranked by SCImago Journal Rank (SJR)
? Covered by major scholarly indexing and abstracting services

Previous ACLing proceedings have also been catalogued in DBLP.

Previous ACLing proceedings published by Elsevier include ACLing 2017,
ACLing 2018, ACLing 2021, ACLing 2024, and ACLing 2025.

============================================================
TOPICS OF INTEREST
==================

ACLing 2026 welcomes original research addressing theoretical foundations,
algorithms, architectures, resources, evaluation, and practical
applications in AI, NLP, and Computational Linguistics.

Topics include, but are not limited to:

? Large Language Models (LLMs): Architecture, Optimization, and Applications
? Generative AI and Emerging Language Technologies
? Retrieval-Augmented Generation (RAG) and Information Retrieval
? Conversational AI, Dialogue Systems, and AI Agents
? Advanced Information Retrieval and Question Answering
? Knowledge and Information Extraction
? Statistical and Neural Language Modeling
? Machine Translation and Cross-Lingual NLP
? Multilingual NLP, Code-Switching, and Low-Resource Languages
? AI for Resource-Poor and Endangered Languages
? Speech Technologies and Multimodal Language Interfaces
? Vision-Language Models and Multimodal AI
? Domain-Specific NLP: Legal, Biomedical, Scientific, and Educational
? Syntactic Analysis, Tagging, and Parsing
? Semantics, Pragmatics, and Commonsense Reasoning
? Emotion Recognition and Sentiment Analysis
? NLP for Social Media and Computational Social Science
? Text Summarization and Natural Language Generation
? Text Classification, Topic Modeling, and Document Understanding
? Text Mining and Large-Scale Knowledge Discovery
? Responsible, Ethical, and Interpretable AI
? Human-Centered NLP
? Benchmarking, Evaluation Metrics, and Explainability
? Prompt Engineering and Reinforcement Learning for NLP
? AI-Augmented Writing, Reading, and Translation Tools

Interdisciplinary contributions and innovative applications of AI to
language technologies are particularly encouraged.

============================================================
SUBMISSION & REVIEW
===================

ACLing 2026 welcomes original, unpublished work that is not currently under
review by another conference or journal.

Submitted papers will undergo peer review by experts in the field.

Paper length:
? Regular papers: 3?8 pages, including figures, tables, and references
? Extended papers: Up to 10 pages, subject to the applicable
additional-page fee

Each accepted paper must be presented by at least one author for inclusion
in the conference proceedings.

Submit your paper through EasyChair:
https://easychair.org/conferences/?conf=acling2026

Submission guidelines:
https://acling.org/submission/

============================================================
WHY ACLing 2026?
================

ACLing provides an international forum for researchers working at the
rapidly evolving intersection of AI and language technologies.

The 2026 edition expands the conference's international reach through a
multi-site hybrid format, enabling researchers to connect and present their
work across the UAE, Jordan, and the global virtual research community.

ACLing offers:

? International research visibility
? Elsevier Procedia Computer Science publication
? Open-access publication on ScienceDirect
? Scopus-indexed proceedings
? Opportunities for international research collaboration
? Interaction with researchers in AI, NLP, and Computational Linguistics
? Flexible physical and virtual presentation options

============================================================
CONFERENCE ORGANIZERS
=====================

? Prof. Khaled Shaalan
The British University in Dubai, UAE

? Prof. Samhaa R. El-Beltagy
Newgiza University, Egypt

============================================================
USEFUL LINKS
============

Conference Website:
https://acling.org/

Call for Papers:
https://acling.org/call-for-papers/

Paper Submission:
https://easychair.org/conferences/?conf=acling2026

Submission Guidelines:
https://acling.org/submission/

Previous ACLing Proceedings:
https://dblp.org/db/conf/acling/index.html

============================================================
CONTACT
=======

General inquiries:
[ACLing2026 at gmail.com](mailto:ACLing2026 at gmail.com)

Prof. Khaled Shaalan:
[khaled.shaalan at buid.ac.ae](mailto:khaled.shaalan at buid.ac.ae)

Prof. Samhaa R. El-Beltagy:
[samhaa at computer.org](mailto:samhaa at computer.org)

Dr. Taher M. Ghazal:
[taher.ghazal at ieee.org](mailto:taher.ghazal at ieee.org)

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

We look forward to welcoming you to ACLing 2026 and receiving your research
contributions.

Please feel free to circulate this Call for Papers among interested
colleagues, research groups, students, and professional networks.

ACLing 2026
25?26 November 2026
Dubai ? Jordan ? Worldwide Online
https://acling.org/
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From freiregonzalez at isir.upmc.fr  Tue Sep  8 12:35:35 2026
From: freiregonzalez at isir.upmc.fr (Ismael T. Freire)
Date: Tue, 08 Sep 2026 18:35:35 +0200
Subject: Connectionists: [CFP] Deadline extended to 14 September: WWIN 2026
 Workshop at SAB 2026
Message-ID: <7956d0b9885cb0740ee1a84fa9908c76@isir.upmc.fr>

(Apologies for cross-posting.)

Dear colleagues,

We are pleased to announce that the submission deadline for the first 
international workshop "Wanting What is Needed: From Homeostatic Control 
to Adaptive Behavior" has been extended to September 14, 2026.

The workshop will be held on October 19 in Berlin, Germany, as part of 
The 18th International Conference on the Simulation of Adaptive Behavior 
(SAB 2026).

Workshop website: https://wwin-workshop.github.io/sab2026
Keywords: internal states, homeostasis, allostasis, reinforcement 
learning, decision making, robotics, adaptive behavior.

======================================
Aims of the workshop
======================================

Classical reinforcement learning and cognitive models often begin with 
externally specified rewards. Biological organisms, by contrast, are 
autonomous learning agents whose behavior is constrained by the need to 
sustain their own viability. This workshop asks how internal 
physiological regulation can ground decision-making, value formation, 
and motivated behavior.

We aim to foster a shared interdisciplinary conversation across machine 
learning, artificial intelligence, robotics, neuroscience, biology, 
physiology, ethology, and control theory. The goal is to clarify how 
homeostatic and allostatic regulation can contribute to adaptive 
behavior in both biological organisms and artificial agents.

======================================
Invited speakers
======================================

* Lilian A. Weber (Osnabr?ck University)

* Lola Ca?amero (CY Cergy Paris University)

* Antonio Damasio (University of Southern California, online)

======================================
Extended abstracts for lightning talks and posters
======================================

* Extended abstracts of up to 3 pages (main text)

* References, appendices, and acknowledgements are not included in this 
limit

* Springer LNCS style (template available on the workshop website)

======================================
Important dates
======================================

* Extended Abstract Submission Deadline: September 14, 2026

* Notification of Acceptance: September 18, 2026

* Workshop Date: October 19, 2026 (afternoon)

We welcome contributions from researchers working across the biological 
and artificial sciences and look forward to receiving your submissions.

Best regards,

Ismael T. Freire
Sorbonne Universit?

On behalf of the organizing committee:

Naoto Yoshida -- Kyoto University
Boris Gutkin -- ?cole Normale Sup?rieure
Henning Sprekeler -- Technical University of Berlin
Louis L'Haridon -- ENSEA / CNRS
Lola Ca?amero -- CY Cergy Paris University
Ismael T. Freire -- Sorbonne Universit?
Mehdi Khamassi -- Sorbonne Universit?
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From fmschleif at googlemail.com  Tue Sep  8 15:55:12 2026
From: fmschleif at googlemail.com (Frank-Michael Schleif)
Date: Tue, 8 Sep 2026 21:55:12 +0200
Subject: Connectionists: Special Session at ESANN 2027: Where Kernels Meet
	Networks
Message-ID: <CAPhoryORtQU2sJtGibtjb58Q84Tt2xGWMU=1-5_G6LN441CKdA@mail.gmail.com>

*** Apologies for cross postings ***

Dear colleagues,

we would like to draw your attention to the following special session at
ESANN 2027:

*Where Kernels Meet Networks: Neural Tangent Kernels, Gaussian Processes
and Beyond*

*Organizers:*
Frank-Michael Schleif, Technical University of Applied Sciences
W?rzburg-Schweinfurt, Germany
Nils M. Kriege, University of Vienna, Austria
Johan Suykens, KU Leuven, Belgium

Kernel methods and neural networks have historically often been viewed as
competing paradigms. A substantial body of recent work, however, has
revealed increasingly close connections between them.

Infinitely wide neural networks can be described in terms of kernels and
Gaussian processes, while Neural Tangent Kernels provide an
infinite-dimensional kernel perspective on the training dynamics of wide
networks. At the same time, current research increasingly moves beyond
fixed limiting kernels towards learnable, structured and expressive kernel
models, finite-width effects, alternative infinite-width limits, and
scalable computational approaches.

The aim of this special session is to bring together these different
perspectives and to encourage interaction between researchers working on
kernel methods, Gaussian processes, neural-network theory, and related
areas.

We welcome theoretical, methodological and applied contributions on topics
including, but not limited to:

   - infinite-width, arc-cosine, compositional and deep kernels;
   - correspondences between neural networks, Gaussian processes and Neural
   Tangent Kernels;
   - finite-width effects and deviations from the NTK regime;
   - feature learning and mean-field limits beyond lazy training;
   - deep kernel processes and learning kernel representations from data;
   - heavy-tailed and stable infinite-width limits;
   - deep and restricted kernel machines;
   - graph kernels, graph neural networks and message-passing expressivity;
   - random features, Nystr?m methods, low-rank approximations and
   sketching;
   - indefinite, non-metric and structured kernels;
   - Gaussian processes for deep models, uncertainty quantification and
   calibration;
   - applications to molecular, graph, scientific and other structured data.

*Paper submission deadline:* 18 November 2026
*ESANN 2027:* 21?23 April 2027, Bruges, Belgium and online

Submissions to special sessions follow the same review procedure, format
and submission rules as regular ESANN papers. Authors should indicate the
corresponding special session when submitting.

Further information about the special session and submission procedure can
be found on the ESANN website.

We would be very happy to see contributions addressing the increasingly
rich interface between kernel learning, Gaussian processes and neural
networks.

Best regards,

Frank-Michael Schleif
on behalf of the session organizers
Nils M. Kriege ? Johan Suykens ? Frank-Michael Schleif
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From julian at togelius.com  Tue Sep  8 17:36:42 2026
From: julian at togelius.com (Julian Togelius)
Date: Tue, 8 Sep 2026 17:36:42 -0400
Subject: Connectionists: PhD and postdoc opportunities in AI and
 (games/creativity/design) at Chalmers, Sweden
Message-ID: <CAHUoKorW3Ne6bAu2UGrqtkRnVHMaQ28iGzDHb3mJFM+efxV0NA@mail.gmail.com>

I'm moving to Chalmers University in Gothenburg, Sweden, where I will take
up a professorship and build a new research group, supported by a generous
grant from  WASP. The announcement is here:

https://www.chalmers.se/en/current/news/chalmers-welcomes-two-new-world-leading-professors/

I will be recruiting multiple PhD students and postdocs in the coming
months and years. Today, I'm sharing the job ads for the first round of
recruitment.

Postdoc:
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=15078&rmlang=UK

PhD students:
https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=15077&rmlang=UK

Please share widely and encourage talented and motivated people to apply!

Julian

-- 
Julian Togelius
Professor of Computer Science and Engineering, NYU
Head of AI, Nof1
julian at togelius.com | http://julian.togelius.com
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From jamaltoutouh at gmail.com  Wed Sep  9 04:28:10 2026
From: jamaltoutouh at gmail.com (Jamal Toutouh)
Date: Wed, 9 Sep 2026 10:28:10 +0200
Subject: Connectionists: [CFP] Special Session on Computational Intelligence
 applied to Sustainability @ EvoApps 2027 (EvoStar)
Message-ID: <CAM9XBaP5N6mz=41ov_tUQfNDqL-A9kGc0O1EUbG6OXraZpmBKg@mail.gmail.com>

Dear Colleagues

We are happy to invite you to the Special Session in Computational
Intelligence applied to Sustainability, held as part of EvoApps 2027 at the
upcoming EvoStar 2027 conference (https://www.evostar.org/2027/).

The application of Computational Intelligence techniques to sustainability
is a fast-growing field, yielding innovative solutions in areas like wind
farm optimization, land use, water distribution, smart grids, and AI-driven
decision support in healthcare.

This special session seeks to bring together researchers and practitioners
to explore the latest advancements in applying Computational Intelligence
to sustainability, with a focus on methodologies that directly or
indirectly address one or more SDGs (https://sdgs.un.org/goals).

Topics of interest include, but are not limited to:

   -

   Renewable Energy Systems: Optimization of energy generation,
   distribution, and storage.
   -

   Smart Cities: Design and management of resilient, sustainable urban
   environments.
   -

   Agriculture and Food Security: Sustainable farming practices, precision
   agriculture, and food supply chain optimization.
   -

   Environmental Monitoring and Management: Applications in pollution
   control, conservation, and natural resource management.
   -

   Healthcare and Well-being: AI-driven diagnostics, telemedicine, and
   optimization of healthcare systems.
   -

   Water Resources Management: Efficient distribution, usage, and
   conservation of water resources.
   -

   Sustainable Manufacturing and Industry 4.0: Green manufacturing
   processes, waste reduction, and lifecycle assessment.
   -

   Risk Reduction and Management: Early warning systems for natural
   disasters, climate change risk assessment,  response optimization, and
   resilience building.
   -

   Circular Economy: Strategies for waste minimization, recycling, and
   sustainable product design.

We welcome original research, review articles, and case studies that
demonstrate the potential of Computational Intelligence to create
sustainable solutions and drive progress toward the SDGs. Contributions
that highlight interdisciplinary approaches and real-world implementations
are particularly encouraged.

More Information: https://www.evostar.org/2027/evoapps/cis/

Submission Details

   -

   Page limit: 14 pages, Springer LNCS format.
   -

   Submission link and details: https://www.evostar.org/2027/submit-paper/

Important Dates

   -

   Submission deadline: November 1, 2026 (AoE)
   -

   EvoStar 2027: March 31- April 2, 2027

Organisers

   -

   Valentino Santucci
   -

      University for Foreigners of Perugia, Italy
      -

      valentino.santucci(at)unistrapg.it
      -

   Fabio Caraffini
   -

      Swansea University, UK
      -

      Fabio.caraffini(at)swansea.ac.uk
      -

   Jamal Toutouh
   -

      University of Malaga, Spain
      -

      jamal(at)uma.es
      -

   Lucia Ballerini
   -

      University for Foreigners of Perugia, Italy
      -

      lucia.ballerini(at)unistrapg.it


?--

Prof. Jamal Toutouh

Tenured Professor

- University of M?laga ? jamal at uma.es

? website: jamal.es
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From tarek.besold at googlemail.com  Wed Sep  9 07:50:53 2026
From: tarek.besold at googlemail.com (Tarek R. Besold)
Date: Wed, 9 Sep 2026 13:50:53 +0200
Subject: Connectionists: Open-sourcing/publishing Hakken,
 SonyAI's scientific hypothesis-generation system
Message-ID: <30C7F9DE-50A0-40D7-9286-3C9A5D72E3BE@googlemail.com>

We just released Hakken, a domain-agnostic prediction and explanation system performing knowledge prediction, i.e., growing scientific knowledge by establishing novel relationships, ones that are not limited to the deductive hull of previous knowledge. We validated Hakken in the biomedical domain, wet-lab confirming two predictions with potential impact in the context of aging-related drug discovery and repurposing. 

arXiv pre-print: https://arxiv.org/abs/2609.04494
GitHub OSS: https://github.com/SonyResearch/HakkenOSS
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From r.t.radulescu at uu.nl  Wed Sep  9 12:17:30 2026
From: r.t.radulescu at uu.nl (Radulescu, R.T. (Roxana))
Date: Wed, 9 Sep 2026 16:17:30 +0000
Subject: Connectionists: [CfP] AAMAS 2027 - Call for Blue Sky Ideas
Message-ID: <83B7B03D-C85D-47F2-959B-DB955EEF1B7D@uu.nl>

AAMAS 2027 - Call for Blue Sky Ideas

The 26th International Conference on Autonomous Agents and Multiagent Systems

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

The Blue Sky Ideas special track is intended to present and provoke visionary ideas, long-term challenges, new research opportunities, and debate. It serves as an incubator for innovative, risky, and provocative research directions, and aims to provide a forum for publishing and presenting these without being constrained by the result-oriented standards followed in the review process of the main track of the conference. Research visions and ideas can cross disciplines, envisioning new directions relevant for Agents and advancing Multi-Agent Systems research through interdisciplinary viewpoints.

We encourage papers to reflect on the future of the research area and its community within the broader AI and computing landscape. We invite submissions that focus on:

  *   novel, overlooked, or under-represented application areas to which agent research may contribute;
  *   potential paths for agent research to contribute to the state of the art in other AI and computing areas and the other way around;
  *   unexplored theoretical grounds for agent research.

Overall, we aim at papers that help guide the agent community to achieve in the coming years a leading position within AI and computing research.


Important Dates

  *   Author registration on Open Review: 20 Oct 2026
  *   Abstract submission: 5 Nov 2026
  *   Paper submission: 12 Nov 2026
  *   Phase 1 early notification: 30 Nov 2026
  *   Rebuttal period: 4 - 7 Jan 2027
  *   Phase 2 author notification: 21 Jan 2027
  *   Camera-ready submission: 11 Feb 2027 (Hard deadline)
  *   Author registration deadline: TBD
  *   Conference: 3 - 7 May 2027

All deadlines are at the end of the specified day, Anywhere on Earth (UTC-12).


Evaluation Criteria

Reviewers will assess papers based on:

  *   Relevance and Advancement (level of future-thinking)
  *   Novelty and Vision (level of ?Blue Sky?-ness)
  *   Background and Foundation (level of grounded-ness)
  *   Impact and Practicality (level of real-world applicability)
  *   Rigour and Clarity (level of strength of contribution)
  *   Author Track Record (evaluated by track chairs)

The Blue Sky Ideas track follows the same core policies as the main track: submissions must be original, reviewing is double-blind, and at least one author of each accepted paper will be required to register and present.


Access the full Blue Sky Call for Papers on the AAMAS 2027 website:

https://warwick.ac.uk/fac/sci/dcs/aamas2027/calls/call-for-blue-sky-ideas/

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From maria.m.hedblom at gmail.com  Thu Sep 10 11:31:45 2026
From: maria.m.hedblom at gmail.com (Maria Hedblom)
Date: Thu, 10 Sep 2026 17:31:45 +0200
Subject: Connectionists: CfP + deadline extension - ISD10@TriCoLore: The
 10th Image Schema Day: In Bressanone, Italy. Dec 1-4th, 2026
Message-ID: <CACXjnGNxvsMZS5SMCkD1p2jhjKNeySjjK6oMDE7tK=b52Y44Wg@mail.gmail.com>

*Apologies if you received this information from another mailing list.)*

Call for papers and abstracts!
The Tenth Image Schema Day
ISD10 at TriCoLore 2026
https://isd.inf.unibz.it/     --       https://tricolore.inf.unibz.it/

*December 1-4, 2026*




*Bressanone/Brixen, Italy---!! Deadline extension !!New deadline: the 5th
and 12th of October for abstracts resp. full papers.Also, see confirmed
keynote speakers below!*
*---*

*It is our pleasure to invite you to the 10th anniversary of the Image
Schema Day workshop series! *

As in previous years, ISD10 is a networking event that invites researchers
on image schemas, conceptual primitives and spatiotemporal reasoning from a
broad range of scientific disciplines to present their research and discuss
ideas for future projects. Unlike many other workshops that cover multiple
topics within a single discipline or main methodology, the Image Schema Day
invites researchers from all disciplines and methodologies but focuses on a
single main topic.

At the beginning of December, the ISD10 joins the umbrella event
"TriCoLore" to spend a few winter days in beautiful Bressanone/Brixen (more
info below). Plan for snowy mountaintops, Gl?hwine/Kinderpunsch at the
Christmas market and great scientific exchange!

Bringing out the "big guns" for the anniversary, the event will take place
in the beautiful historic building of PTH Brixen College (see photo). We
also offer budget accommodation on the premises; however, there are a
limited number of rooms available, so try to register early!

[image: PHT brixen.jpg]

*Submissions*
The workshop accepts three kinds of submissions:

   - Abstracts for presentation only: 2 pages
   *(NOTE: these are not included in the proceedings)*
   - Short papers: 6-8 pages
   - Full research papers: 10-14 pages

*Topics of interest with (the broadest interpretation of) an
image-schematic focus include: *

   - conceptual primitives in artificial intelligence
   - analysis of conceptual metaphors
   - linguistic analysis
   - formalisation of affordances and force dynamics
   - spatiotemporal reasoning
   - commonsense reasoning
   - conceptual modelling
   - use cases of embodied cognition
   - formal approaches to analogical reasoning
   - formal concept analysis
   - applications in cognitive robotics
   - image-schematic interface design
   - compositional art and literature analysis

All submissions will be peer-reviewed, and accepted contributions will be
included in the joint TriCoLore proceedings (CEUR-WS, Scopus-indexed) and
presented at the workshop! At least one author needs to register and
physically attend the event.

Formatting and submission instructions will be made available on the event
website. As organisers of TriCoLore, we are also planning a special issue in
 KI-K?nstliche Intelligenz for extended versions of selected papers.

Submission link: https://easychair.org/conferences/?conf=isd10

*Important dates: *

   - Submission opens: August 1st
   - Abstract submission deadline (extended): October 5th
   - Paper submission deadline (extended): October 12th
   - Notification of acceptance: November 1st
   - Camera-ready version due: November 16th


*The Umbrella Event TriCoLore*
TriCoLore I and II took place in 2017 and 2018 in Bolzano, and we are happy
to see a revival of this great umbrella conference. This time the
conference will take place in the PTH building in Bressanone/Brixen, with
registration fees around 200 euros (exact number to come) for the whole
event. If you are interested in conference-based accommodation, we
recommend registering as soon as possible due to the limited number of
rooms.

Confirmed Keynote speakers:

   - Prof. Michael Gr?ninger (Toronto, Canada)
   Talk: *TBA*
   - Prof. Garbiele Kern-Isberner (Dortmund, Germany)
   Talk:* "Cognitive Logics Based on Conditionals and Nonmonotonic Logics"*.
   - Prof. Konrad Werner (Warsaw, Poland & Bayreuth, Germany)
   Talk: "*Routines, problems, opportunities: Towards an ontology of
   institutional cognitive niches"*

In addition to ISD10, TriCoLore contains the following
workshops/gatherings:

   - CAOS 10: The 10th Cognition and Ontology *(Also celebrating 10
   years!!)*
   - https://caos.inf.unibz.it
   - FOUSY: The First Foundations of Neuro-Symbolic Logical Reasoning
   Workshop
   https://fousy.sai.jku.at/
   - OntoLit: The First Workshop on Ontologies for Literature and Literary
   Studies
   https://ontolit.wordpress.com/
   - ROBONTICS: The 6th Ontologies for Autonomous Robots Workshop
   https://robontics.github.io/


We are looking forward to celebrating the 10th anniversary of the ISD
workshop series and would love for you to join us!
//
ISD10 organisers:
Maria M. Hedblom and Oliver Kutz
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From benoit.frenay at unamur.be  Fri Sep 11 04:30:18 2026
From: benoit.frenay at unamur.be (=?iso-8859-1?Q?Beno=EEt_Frenay?=)
Date: Fri, 11 Sep 2026 08:30:18 +0000
Subject: Connectionists: Professor positions in SE and security with opening
	to AI
Message-ID: <DB7PR07MB61553AE8689C397191FA92B6F1BE2@DB7PR07MB6155.eurprd07.prod.outlook.com>

Dear all,

The Faculty of Computer Science at UNamur (Namur, Belgium) has two professor positions in software engineering and security with an opening to AI:

  *   https://jobs.unamur.be/emploi.2026-09-07.7303942873
  *   https://jobs.unamur.be/emploi.2026-09-07.6121468859

Best regards,

Beno?t
Beno?t Fr?nay
Professor
Faculty of Computer Science
Human-Center Machine Learning (HuMaLearn)
UNamur / NaDI / PReCISE
[cid:image001.png at 01DD41D8.89C121E0]  [cid:image002.png at 01DD41D8.89C121E0]  [cid:image003.png at 01DD41D8.89C121E0]
https://directory.unamur.be/staff/bfrenay
https://humalearn.info.unamur.be<https://humalearn.info.unamur.be/>
Let us respect the environment together.
Only print this message if necessary!

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From taro.toyoizumi at riken.jp  Thu Sep 10 20:46:10 2026
From: taro.toyoizumi at riken.jp (Taro Toyoizumi)
Date: Fri, 11 Sep 2026 00:46:10 +0000
Subject: Connectionists: Neural Networks : Volume 204
In-Reply-To: <010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000@email.amazonses.com>
References: <010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000@email.amazonses.com>
Message-ID: <TYWP286MB33521DACD81C68B708AA1B8BFCBE2@TYWP286MB3352.JPNP286.PROD.OUTLOOK.COM>



[wordmark]<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/2zl8PB5DodZy4YOjxPSyAi569RdlJuSd1Mm14fzhXME=452>
New Issue: Neural Networks

New issue available on ScienceDirect

[Cover Image Neural Networks]<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fjournal%2Fneural-networks%2Fvol%2F204%2Fsuppl%2FC%3Fdgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/gdJl6_EQbqeXdnGZSox7ZdWNqiynR8AlABS4TZDATys=452>
Neural Networks<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fjournal%2Fneural-networks%3Fdgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/T5NstVBqrzHgFg5wCxOQTwFhHkD7QLJKrjVaA4z0ybo=452>

Volume 204, December 2026<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fjournal%2Fneural-networks%2Fvol%2F204%2Fsuppl%2FC%3Fdgcid=raven_sd_via_email/2/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/nL71tAB0pfk_Q4iPWAHDo4upZ84hcV_vJYhnmfX-uFc=452>

Editorial Board<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S089360802601052X%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/gY7sSMGOB-DLwspVKj-tWtjoA4FmeE1WQ7xaq594HPY=452>

Article Number 109595

Reviews
________________________________
The landscape of pruning for large language models: A systematic review and unified taxonomy<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007276%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/g9Fi5yIrCS8i4qBml46AraI66um9As42mPHrNvK-xCs=452>

Article Number 109267

Yuli Chen, Yuchuan Mu, Qiang Tong, Xiulei Liu

Graphical abstract
[http://ars.els-cdn.com/content/image//1-s2.0-S0893608026007276-ga1.jpg]

Brain network construction and analysis for epilepsy: A methodology review<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007549%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/-5j2O6TrLMtyqDQ2bdmoSwZRuv-nyRnKYysanlA-Sxs=452>

Article Number 109294

Yuge Yang, Duanpo Wu, Yuhan Gao, Tiejia Jiang, Chenggang Yan, Yixuan Yuan, Lian Zhang, Samaneh Kashi, Peiwu Qin

Cognitive Science
________________________________
EDSF-Net : An enhanced dynamic spatiotemporal-frequency attention network for robust EEG decoding in motor imagery<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006581%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/vPtnuoaugD74zpiOAKmcPKqxHJ8e1vuhI2mHFPsHEMQ=452>

Article Number 109197

Weijie Chen, Ian Daly, Yixin Chen, Junxian Li, Xiao Wu, Ruiyu Zhao, Xingyu Wang, Andrzej Cichocki, Jing Jin

Multiscale EEG feature fusion for recognizing 3D object shapes through active touch<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007495%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/Nmd4K3SpzOqaG3FGIu2FCFEm2U03IDNKRum_NdgPJ_8=452>

Article Number 109289

Jiahui Jiang, Zhiling Ren, Jixuan Wang, Xinmeng Guo, Guosheng Yi, Bin Deng, Jiang Wang, Zhenxi Song, Tianshi Gao

Neuroscience
________________________________
NEURAL-VOX: NEURal auditory language decoding for voice and text reconstruction<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006829%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/mAQs6B2i9fTODeIIQ1oA590srG3v311n0NSKqlF59rI=452>

Article Number 109221

Zhishuo Jin, Dongdong Li, Qin Zhou, Zhe Wang

MPLIF: Multi-parametric leaky integrate-and-fire neuron for spiking neural networks<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007136%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/3OnBOklruYukplJb-varT8_v28YtpXox3-1UvwYxjcw=452>

Article Number 109253

Luochao Wang, Qiugang Zhan, Shilong Li, Xiurui Xie, Zhiguang Qin, Guisong Liu

Dynamic analysis and reliable mechanical optimization application of ring HNN effected with a memristive neuron<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007574%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/WuhR1eVC8tInRKd9GJpz3InBsT3-UAZ8s4QCG2gtnTs=452>

Article Number 109297

Wei Yao, Sijia Peng, Jia Fang, Yichuang Sun, Jianhua Xiao, Fei Yu

Learning Systems
________________________________
Depth-induced bipolar neural collapse for privacy-preserving face verification<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006854%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/rYqWOoiL5Vz7waUBdFegPeLGoX1nNw6tX3xodtXIGUM=452>

Article Number 109224

Yen-Lung Lai, Wun-She Yap, Bok-Min Goi, Zhe Jin, Massimo Tistarelli

Logits -with-correlation-based distillation for class incremental learning with limited initial classes<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006684%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/cgVZr4cS0LX98sHgA8yl7nxhEWYK2tBPHUzm1SEciAw=452>

Article Number 109207

Jie Du, Jing Wang, Wenbing Chen, Peng Liu, Tianfu Wang

Temperature-free loss function for contrastive learning<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006830%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/8mtiiHFy2hnT2-jgmNRZh9wF1vRv2SisGALxfhws_8I=452>

Article Number 109222

Bum Jun Kim, Sang Woo Kim

SA-RAG: Structured and adaptive retrieval-augmented generation for multi-hop question answering<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006623%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/VoHMjMj6MFx8riGhalqn3GU--ZI4ObFbo06FFmodHc0=452>

Article Number 109201

Mingcong Dang, Shengling Geng, Yonghui Xu, Fubo Wang, Lizhen Cui

Batch kernel neuro-fuzzy system ensemble framework with residual learning and selection mechanism<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006805%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/_IK3iaNK0vtRUYmt5MGFYHzQiG6lpygXW1JZL4-2O5o=452>

Article Number 109219

Jie Li, Degang Wang, Wei Zhou, Guoliang Zhao

Deep kernel learning enhanced fusion for multimodal classification<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006842%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/sjOts55OpW4I3hq3vxukyjJazWP43aXVhDTo9gJ8Yn8=452>

Article Number 109223

Duoyi Zhang, Md Abul Bashar, Richi Nayak

Subaquatic neural view synthesis with depth-guided refinement and multi-scale information fusion<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006593%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/wKKo-b7VU9aBMm6yhHo51KeSihR-SMTp3W5IY1eY-2w=452>

Article Number 109198

Huilin Ge, Zheng Wang, Bingying Hu, Xiaoping Chen, Zhiyu Zhu

Two-shot learning of multiple strange attractors<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006702%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/KRI67A8SaJRG_suTAbI8oIbucYDv3e0xmBxCli1m8kE=452>

Article Number 109209

Daniel K?glmayr, Miralem Spahic, Andrew Flynn, Christoph R?th

MS-STGAN: A dual-branch multi-scale spatio-temporal generative adversarial framework for incomplete EEG-based emotion recognition<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006647%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/p3N1Dk22t76wxwRXUU_3H2d4ZUCDwGUzPxLrzch4D2c=452>

Article Number 109203

Cheng Cheng, Jingjing Zhang, Yikang Cheng, Ziyu Jia, Weiqi He

MUP-SAM: Multi-scale vision mamba UNet prompt generation for SAM in multi-organ medical image segmentation<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026005666%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/XvZKOqkYty-NclAAMcDkJwFPFVLZqz_PReTmXW2JVP8=452>

Article Number 109106

Lyuyang Tong, Jingwen Jiang, Bo Du

SD<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007021%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/1wH0z-Uy0IBTzM_hrmu15l-cAqFvUjVwT-Uz95YZYGk=452>2<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007021%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/1wH0z-Uy0IBTzM_hrmu15l-cAqFvUjVwT-Uz95YZYGk=452>-SNN: Self-distillation and structural decomposition framework for SNNs in continual learning<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007021%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/1wH0z-Uy0IBTzM_hrmu15l-cAqFvUjVwT-Uz95YZYGk=452>

Article Number 109241

Zhenhao Xie, Xia Xiao, Hongsheng Zhang, Yanwei Pang, Zhong Ji

WaveMixerNet: A dual-stream wavelet-based MLP-mixer and CNN architecture for long-term time series forecasting<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006866%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/OBrh4VeguIZ7ctaDkCSl-7K0A_VBuzE7Z5eJTRn0Vx4=452>

Article Number 109225

Bo Wang, Junfen Chen, Mingyan Yao

Robust jointly sparse semi-supervised fuzzy C-means clustering with asymmetric deviation constraints<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007112%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/mwuRtevd_r97Gkwe985pC5v2OmKlpOMJR8f3ea6Wtqs=452>

Article Number 109251

Chengmao Wu, Jun Hou

Graphical abstract
[http://ars.els-cdn.com/content/image//1-s2.0-S0893608026007112-ga1.jpg]

The effect of attention in cooperative MARL environments with shared rewards<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006672%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/REv-k0fb83jfTDcOIYmCQ7ak6c3yhCejqVPdLXeBDCE=452>

Article Number 109206

Aidin Kazempour, Marek Grzes

FracNeXt: Enhancing visual representation learning in sequence models with fractal wavelets<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006957%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/Q2SjwsbgoLPwetO29Qdu-APiag1QD5BFliDa6fMU5hI=452>

Article Number 109234

Pengfeng Lu, Sei-ichiro Kamata, Mengyunqiu Zhang

Graphical abstract
[http://ars.els-cdn.com/content/image//1-s2.0-S0893608026006957-ga1.jpg]

HLSP-LSM: Enhancing image recognition performance of liquid state machines via brain-inspired hybrid long short-term plasticity<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007069%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/mzJ3K-a7nPp98Za0Euxk0sTE2IJkH1tIWi0wTzHO-zI=452>

Article Number 109245

Chao Luo, Chiawei Chu, Jianfang Wu, Muhammad Tahir Rasheed, Junsong Wang

ASMem: Anchor sparse memory for multi-domain knowledge editing of large language models<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S089360802600691X%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/E8vjKW96tqOn2BJ3BScOnDE-WwUBK4Y13EmGVPURHYk=452>

Article Number 109230

Guanyu Zheng, Zhenyu Wang, Yang Zhao, Tingting He, Xv Wang, Haochang Wang, Tiejun Zhao, Chengqing Zong

A framework for evaluating factual consistency in automated text summarization with large language models and prompting strategies<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006210%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/7YlDq-4V-DWr5-qM6HrmU26_Ci5Bf4gPu-VmZXkyiWQ=452>

Article Number 109160

Md Moinul Islam, Mourad Oussalah

TQR : Modelling user temporal preference for effective question routing<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007008%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/1oI0xNXbC_ga1TszD4P6ANEYFrBiClgAgUF3qEKOhF0=452>

Article Number 109239

Jia Xu, Zhengkai Li, Pin Lv, Hengyu Liu, Zulong Chen, Ning Wang, Tiancheng Zhang

TopoDDPM: Diffusion probabilistic model using persistent homology for 3D point cloud generation<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S089360802600701X%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/MlocH96u7wvPq3ZCnxYAgiuooNZ5cnqf4Mcwd0ZRq-c=452>

Article Number 109240

Shuai Du, Zechao Guan, Qingshan Liu

Enhancing GNN learning with node augmentation<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006891%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/WnbwPauYa9zXJAonCpLuw4C4X8yvwFhRG6NSuH03lAs=452>

Article Number 109228

Maria Marrium, Arif Mahmood, Muhammad Haris Khan, M. Saad Shakeel, Wenxiong Kang

Routing distilled knowledge via mixture of LoRA experts for large language model based bundle generation<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007100%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/NdLMs0ixVKRTO-VszSdU8VZ5hSwXm8u8inbfHjDw27I=452>

Article Number 109250

Kaidong Feng, Zhu Sun, Hui Fang, Jie Yang, Wenyuan Liu

Leveraging VLMs for MUDA: Category-specific prompt with multi-modal interactive LoRA<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007094%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/IjDEyewjzK-dQPwMlHctgU9yUH4icUYlRNAAUDZmp-A=452>

Article Number 109249

Jianing Yang, Xihuai He, Xueqiong Li, Wanrong Huang, Hengzhu Liu, Huibin Tan

TDAN: Triplet depth-aware network with multi-domain fusion for unknown attack detection in autonomous vehicles<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007197%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/CazBpH-VwslhRcyWUZZDakmSfb5jZpwgGQILGa8o6OQ=452>

Article Number 109259

Zhitao He, Yongyi Chen, Dan Zhang

Dynamic-based representation inconsistency and implicit constraints for offline reinforcement learning<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006817%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/iW4Hi97VZW-I9JoidvrxZVyclm4JvZIl5pRFsFTHNZE=452>

Article Number 109220

Yesen Chen, Teng Zhang, Tao Li, Jiangcheng Chen, Dongyun Wang

ConNR: A continual N-ary knowledge reasoner for growing N-ary knowledge graphs<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007057%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/2w-kGtl6uWmURiKQRjv77c2luehu0218rhzuS8T1ViU=452>

Article Number 109244

Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

FedLASE: Performance-balanced system-heterogeneous FL via layer-adaptive submodel extraction<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007215%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/zHeyxvonB6KBgHWE0WGzCAtTs_poGbYqphgWzPp0Mb0=452>

Article Number 109261

Qing Hu, Tianchi Liao, Shuyi Wu, Zibin Zheng, Chuan Chen

Unsupervised visible-infrared person re-identification via locally reliable matching and global distribution alignment<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007239%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/wC9CRyRloqq-YRMt2toEOav-S3n-pEkOhbsi2K30Eug=452>

Article Number 109263

Yun Song, Chao Gao, Ke Nai, Guiji Li

Topologically informed echo state networks via poincar? return maps for chaotic time-series<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007240%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/z1UI1jSBuLE2wzpsRyIV8wLuWsN9yVKV3MyqR9ql95c=452>

Article Number 109264

Pradeep Singh, Ashutosh Kumar, Sutirtha Ghosh, Balasubramanian Raman

Semi-supervised multi-label feature selection with consistent sparse graph learning<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007252%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/6RoYIxGZiV65Lrf_yAYcE-YTUL5-_3kKOBMKQRKjgPI=452>

Article Number 109265

Yan Zhong, Xingyu Wu, Xinping Zhao, Li Zhang, Xinyuan Song, Lei Shi, Bingbing Jiang

Directly training on quantized model via gradient scale correction for edge device<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007264%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/vy-v50JLtu7-My_hLDUahiKF6HDP-iK7n395IhtQCsg=452>

Article Number 109266

Dewang Zhang, Jingling Yuan, Yu Zhou, Chuang Hu, Xiaohan Yu, Heping Gou

Dual-channel hard negative sample generation for graph contrastive learning<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007379%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/kwwXppIOeRYCLXPJvTTUjUI8srC_TWoYWRa3Mjx2VV4=452>

Article Number 109277

Jianghui Cai, Mengyu Li, Haifeng Yang, Jie Wang, Yating Li, Guojiao An, Yaling Xun, Xujun Zhao

DNA: Improving text-based person search through distillation learning, negated relation-aware learning, and augmented representation learning<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007355%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/oo5vJqg0d7pv0gWqg-a32fjLBmzuonYXAy851ImfnVc=452>

Article Number 109275

Anh D. Nguyen, Tam T. Ngo, Hoa N. Nguyen

Hindsight-based state space exploration via counterfactual intrinsic reward assignment<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007203%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/u07EBb97fM97MY1vPhHEISwfqVlAQy13lyQMmiZTdF8=452>

Article Number 109260

Yuchen Liang, Qinchen Yang, Fukai Zhang, Cong Wang, Yuehu Liu

Graphical abstract
[http://ars.els-cdn.com/content/image//1-s2.0-S0893608026007203-ga1.jpg]

Integrating visual and language cues via state space models for medical image segmentation<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007537%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/Y8MXmB_4G8LQhstQnDqwog1Ik2_8E-AY0LBV34BslZs=452>

Article Number 109293

Mingyang Hou, Zhiyong Huang, Daidi Zhong, Zhi Yu, Xiaoyu Li, Jiahong Wang, Yan Yan, Yushi Liu, Min Yang

ResVaRe: Parameter-efficient fine-tuning for large language models via cross-layer residual vector adaptation and representation editing<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007331%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/s7fK3GqjyJP0IBVqsD8loyGOGFM8fgD1SgdzRVKaHPU=452>

Article Number 109273

YanFeng Wang, YingJie Li, YouQi Wang

Graphical abstract
[http://ars.els-cdn.com/content/image//1-s2.0-S0893608026007331-ga1.jpg]

FedCAD: Cross-modal semantic alignment and distillation for cross-domain heterogeneous federated learning<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007586%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/nq2mmfn-02xj0U6U19YJXNgLX-Y9IiPGXWEHbhm3-J8=452>

Article Number 109298

Qian Zhang, Huijun Yuan, Mingwen Shao, Hong Liang, Hu Liu, Xinyue Zhang

Reliability-aware modality completion with cross-modal distillation for federated learning with missing modalities<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007628%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/VsOoBfiRt5FtC-rv5Bbinr53Ie1E5VTH2uq2BiMoins=452>

Article Number 109302

Mengmeng Li, Xin He, Jinhua Chen

DAFF-Net: A detection and search method for small-scale low surface brightness galaxies<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007458%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/D1BREpccMe_y_YoIkGiB_r0FHuqu9zKZERSl2YcVF_o=452>

Article Number 109285

Hua Chen, Jinfu Chen

Q-learning based asynchronous Boolean control networks stabilization with data loss<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007707%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/csMfCc0v9Lar92SsaViEpGztg_mFKktn5iC3le4H6Ak=452>

Article Number 109310

Jiangying Li, Hao Zhang, Chengye Zou, Chuan Zhang

Variance-constrained multi-view ensemble broad network for imbalanced data<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S089360802600777X%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/KjmLTuyxr62rx5knqZ2lazMZZBNIU-iRrCQy8wmrxbM=452>

Article Number 109317

Ziyang Dong, Wuxing Chen, Zhiwen Yu, Kaixiang Yang, C.L. Philip Chen

Memristive neuromorphic circuit design inspired by the neural mechanisms of conditioned fear<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007550%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/LZy9FpK2ut_1y27Xt2lNU7-EB6HvzVYS27G_uCJx7Wo=452>

Article Number 109295

Xinrui Zhang, Jichen Shi, Le Yang, Zhigang Zeng

MT<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007641%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/Lw9oTbdJAXQJoZJ_NZhbBZZiZkMxFCw0FbYJJJP6CiY=452>2<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007641%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/Lw9oTbdJAXQJoZJ_NZhbBZZiZkMxFCw0FbYJJJP6CiY=452>-CSD and LLM-CRAN: A new dataset and an LLM-based multi-semantic knowledge fusion model for conversational stance detection<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007641%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/Lw9oTbdJAXQJoZJ_NZhbBZZiZkMxFCw0FbYJJJP6CiY=452>

Article Number 109304

Fuqiang Niu, Genan Dai, Yisha Lu, Jiayu Liao, Xiang Li, Jingyan Jiang, Hu Huang, Bowen Zhang

Anchor-based disentanglement framework for incremental multi-view clustering<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007872%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/gHymrxyXRt3Usp2bEZiEqViDLrwWL7ZnBW7QpiMlNw4=452>

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Bo Zhong, Pengyuan Li, Zisen Kong, Dongxia Chang, Yiming Wang, Yao Zhao

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Abhishek Sharma, Sachin Maurya, Achyut Mani Tripathi, Kedar Vithal Khadeparkar

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Tianjian Zhou, Yishan Li, Lixin Zhan, Jie Jiang

TriAlignNet: A triple-path cross-modality alignment framework for multimodal time series forecasting<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007811%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/tcnXA-sYnGGvz_WxcLdOs8YqsnFesj85niBnvN5kYXo=452>

Article Number 109321

Junjie Ye, Chunna Zhao, Yaqun Huang

Mathematical and Computational Analysis
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Fixed-time synchronization of delayed inertial memristive neural networks under denial-of-service attacks<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007045%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/dAkHdi-J4LNaktbo4uAjLGgZmJgyTlIRpbuQEgoUC44=452>

Article Number 109243

Fang Yu, Jinpeng Yang, Guanghui Jiang, Leimin Wang, Xiongbo Wan

Unsupervised feature selection via row-sparse local preserving projection<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006969%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/ow5NO-MQLPvyTOEFgClvcuGuTLZKTA6eJ-Dwji_KcDU=452>

Article Number 109235

Zhengguo Yang, Xiran Li, Ruiting Zhou, Jihai Yi, Jikui Wang, Feiping Nie

Relaxed conditions and PSO-based optimization for the problem of Mittag-Leffler synchronization and its application in image restoration for fractional-order octonion-valued two-layer neural networks<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007070%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/HvO_i9T-RoRZaCRrSaGS-Ujv_mgvlC97EgP9Au7fL-I=452>

Article Number 109246

Jianying Xiao, Benkun Huang, Shiping Wen

H-FEX: A symbolic learning method for Hamiltonian systems<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007082%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/ITcqJkzb88lxLCNkTWE4bDgiVy40V_VEI62Y8-_ePEA=452>

Article Number 109248

Jasen Lai, Senwei Liang, Chunmei Wang

Neural network-based practical prescribed-time bearing-constrained secure formation control for second-order nonlinear multi-mobile robot systems<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S089360802600715X%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/2orr7ZoIyBoLZDdznpR76afmJ2vzBYburN2MitjaNPI=452>

Article Number 109255

Chuanjun Peng, Chuanhai Yang, Qingshan Liu

Fractional analysis of a coupled dual-capacitance neuronal model with state-wise surrogate neural networks<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007173%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/xF5sPS4Es18aToRTYX_Wj1Vh4rY9c_Xnh_r9H4h6qAY=452>

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Peiluan Li, Qi Wang, Changjin Xu, Dian Tian, Peiyu Li

ES-C51: Expected sarsa based C51 distributional reinforcement learning algorithm<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007185%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/OhKe_aFjV4_Or48cuxu0PnYsbhAOxKvFN_MGlqJG030=452>

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Rijul Tandon, Peter Vamplew, Cameron Foale

Fourier multi-component and multi-layer neural networks: Unlocking high-frequency potential<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007288%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/k60S_vQLuvy8ELYQqF7EwFThrhLueEOpRQKAsLq19Zk=452>

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Shijun Zhang, Hongkai Zhao, Yimin Zhong, Haomin Zhou

Fixed/preassigned-time stabilization and time-energy tradeoff analysis of delayed memristive reaction diffusion neural networks<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007422%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/p2vnbAPP4xfN_jZNhEQGx_8hMlltRX-wfl5touZ1Nwo=452>

Article Number 109282

Jing Han, Leimin Wang, Chaouki Aouiti, Guodong Zhang

Observer-based ADP for secure resource allocation in high-order nonlinear multi-agent systems under FDI attacks<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007446%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/VTvC3k2CIGRv4Al8DaI7Qf_UnZZaLQiiHL4HsJ67WHk=452>

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Qingxiang Ao, Sen Chen, Xiaole Yang, Jiaxin Yuan

Finite-Time intermittent control for secure synchronization of Neutral-Type stochastic delayed neural networks under aperiodic DoS attacks<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007513%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/OPyCSBruZqUIBkHgm9TmhcVLtXD7M8UkZ-7pwp5_t2U=452>

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Jie Mi, Rizhao Gong, Quanxin Zhu

Partial-encryption-decryption-based secure state estimation of singularly perturbed complex networks: A Paillier encryption approach<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007525%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/N9MM2HhE17bmCkZbKsnqwAFJOPx5rOGCJAoE-Q2Qbqo=452>

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Yunjie Chen, Zidong Wang, Yurong Liu, Weihao Song

Quasi-synchronization for complex networks with hybrid pinning intermittent control<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007616%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/HZ2946s-GcIVPjsmafMAf0J-GsZGuOgUvMDqO-vejFI=452>

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Liwei Zhao, Zenghong Huang, Hui Peng, Hongxia Rao, Yong Xu, Tingwen Huang

Physics-encoded convolutional neural operators for parametric PDEs: A convergence-guaranteed framework via pre-computed kernel fields<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007690%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/o9cFQyFJFZZybBqCZcg3T7XYPRC40I-8Po1PWLsWolA=452>

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Yu Liu, Yanfei Chen, Ruihao Liu, Rui Li, Xin Wang, Zengli Peng, Keyang Tan, Qiuhe Chen

New results on prescribed-time synchronization of complex networks via intermittent control<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007896%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/oPbSfEDoIOsaqPD-37RImuIRrR5cqhUvRSJc1hGANWs=452>

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Jian-An Wang, Zhiming Qiao, Jie Zhang, Mingjie Li

Decentralized ADMM for factorization-based Low-rank matrix estimation<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007793%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/5ftf4INcTbBiydHzeF5KpmTjjDDWJgfy2jrxUxFizdI=452>

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Zihao Song, Weihua Zhao, Rui Li, Heng Lian

Complex-valued amplitude?phase interference modeling for adversarially robust classification<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007914%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/HxE8oeTPudESUG8zdrNP-LqoYdrLySC2MbKsnMXgKmk=452>

Article Number 109331

Yi Li, Yan Zhang, Chenguang Zhang

Theoretical analysis of the denoising autoencoder using Tweedie?s formula<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007471%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/p26WCA_IN2Xsi85ecbln9iaYcf0W9vn7NKu95hWNdhQ=452>

Article Number 109287

Yuta Aishima, Kazushi Ikeda

Engineering and Applications
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Semantic consistency-aware pseudo-temporal framework for multimodal remote sensing image segmentation<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006489%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/WbhH-JcKQRNaGsId7jLy4rXPILR9b5S8SKpC167_L1M=452>

Article Number 109187

Yujia Sun, Yuejiang Li, Weisheng Dong, Le Dong, Peng Wu, Lichao Mou, Xin Li

Multimetric brain functional-structural connectivity mutual coupling for mild cognitive impairment identification<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006933%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/cu6Rezd7aj26ojjPQ9XKoITDqXrABDO1ARSuUHdZ2Lk=452>

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Jingtao Chen, Guangming Li, Keyan Yu, Guanxun Cheng, Xiang Fan, Kai Wang

Real-time sparse signal reconstruction via KKT-conditions-driven analog circuit solver<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006659%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/UfwZhN9_ju9Rsv2vQe86T_1ly7S1aaqyd6ErJVkjzjQ=452>

Article Number 109204

Hong Liu, You Zhao, Xing He, Meng Zhang, Tingwen Huang, Junhui Chen, Yu Wang, Ruoxi Yu

Cross-model diffusion: Mitigating hallucination in large language models for rumor detection<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006878%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/ewR5CVDB7-yUgwshK9meZte9yoSgNQTCGKqL9c7MMEQ=452>

Article Number 109226

Chunling Wu, Kai Yang, Yu Hui, Peng Xiong, Zhibin Shi, Zhenghong Lin, Yiling Zhang, Shiping Wang

Mask-PINNs: Mitigating internal covariate shift in physics-informed neural networks<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006970%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/mwENF6IY_cPQtNvcvTY6pTK1K-K5mqI5RzEfoYFz-Y0=452>

Article Number 109236

Feilong Jiang, Xiaonan Hou, Jianqiao Ye, Min Xia

Mechanism-preserved adaptive daubechies wavelet neural operator<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007033%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/0iv83VVSS772Y7udFD6EnO-PIRLqch2TwK_-cGHjJSk=452>

Article Number 109247

Yifei Peng, Shuqing Liang, Ze Tao, Chunwei Miao, Jian Zhang

Margin-aware prototype learning for client withdrawal in federated unlearning<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006921%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/ARt3tDfHIuCV-V-lCK-iOeUwZ9W_T9q4_FUDDRqBeGA=452>

Article Number 109231

Yixuan Qiu, Shaofei Shen, Chenhao Zhang, Lin Yue, Weitong Chen, Miao Xu

DEDSAC: Centralized microgrid dispatch via dual exploration mechanism enhanced diffusion soft actor-critic<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007124%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/wzBcfAUuJz0u3xXXaJwzqbDbbh0piMm2-DkbnvvUH74=452>

Article Number 109252

Chao Xiang, Zhenyu Zhang, Manqiu Huang, Zhigang Zeng

DFIR-DETR: Frequency-domain iterative refinement and dynamic feature aggregation for small object detection<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007161%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/L1PWTy9VaktLwgUgAvJ4UDFZQP02uwGPU4pli6oclT8=452>

Article Number 109256

Bo Gao, Jingcheng Tong, Xingsheng Chen, Han Yu, Zichen Li

MM-TransUNet: Multi-modal and multi-graph feature learning for neurodevelopmental disorder diagnosis<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006982%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/OgmKV6X4PB87M-YOyXZLNjBR56UExi-aUj4HMEJGLqA=452>

Article Number 109237

Weilun Wu, Huan Wang, Shen Wu, Xueliang Jiang, Zhuqing Jiao

Context-aware reliability exploration for unsupervised domain adaptive person re-identification<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006908%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/Af9Pd7TyOCcsuC4pvudMqW7X_uiqvAulXnq_Oh8EX6o=452>

Article Number 109229

Jialu Liu, Xing Tan, Meng Yang

Multi-granularity dynamic hierarchical graphs for video-based person re-identification<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026006994%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/PewE1NcFqBp8Be6alXpV88RKnAZYGEr_a2FtVu20Fhk=452>

Article Number 109238

Wei Zhao, Bingyi Zhou, Yongquan Wang, Yuanpeng Fan, Guoyou Wang

Exponential synchronization of T-S fuzzy complex-valued BAM neural networks with mixed time-varying delays via event-triggered control engineering and applications<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007148%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/JGdJcdV97P1V_KyHN6Y6MsGLv3pJThO48bZsRhRq2ko=452>

Article Number 109254

M. Suresh, R. Samidurai, K. Asmiya Banu, M. Mubeen Tajudeen, Nasser-eddine Tatar, Tingwen Huang

An integrated framework for surface reconstruction from incomplete point clouds based on constraint feedforward migration<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S089360802600746X%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/i9jxck127ff4zsOYsjUZSzP0NkYFLgnEIHDnOHPfijk=452>

Article Number 109286

Yuxiang Leng, Youyuan Wang, Yaqi Nie, Jiahao Zou, Yanfang Zhang

IGFD-Net: Illumination-guided frequency decoupling for polarization image fusion<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007434%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/hcZ6hpj2QO9RHNCU_IUHHzp_cO-XI6oSzS-MCL8JzSw=452>

Article Number 109283

Mengxin Gong, Jie Li, Mengqian Chen

MDFAT: Interactive mask decoupling and frequency-adaptive transformer for multi-focus image fusion<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007306%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/WLqdiCEwiyylK5v4QrDlNGInN-h7_iuCPcSAYn3CuSY=452>

Article Number 109270

Zhendong Xu, Hao Zhai, Zhi Zeng, Bo Lin, Minyu Deng

CMTNet: A hybrid CNN-Mamba-Transformer network for point cloud salient object detection<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007392%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/uxLNEwCYamlui493GUMh6L0ei_US_x-gBcQIJ6hXtTk=452>

Article Number 109279

Langtao Gan, Hongfa Wen, Jia Hou, Haicheng Tu, Zunjie Zhu

LLM-Driven Regime-Adaptive strategy synthesis for Polymorphic Network routing<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S089360802600729X%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/ezWwv0nTx0ZB10_7qRRNe2jz0RfVGpasTJeUIRLRJ5o=452>

Article Number 109269

Shuhan Guo, Yudong Bai, Wei Huangfu, Quan Zheng, Quanming Yao

ES-DETR: Real-time detection transformer with encover and soft-dropout<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007410%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/KP8sT_kjXIZKR8JpoUegCNUg2ht7rITVxl9flYNMxfs=452>

Article Number 109281

Yiqing He, Zefeng Zheng, Zhuowei Wang, Xuhui Zhang, Tiantian Li, Lianglun Cheng

DMWFuse: A degradation-adaptive unified framework for RGB-IR image fusion<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007367%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/-SgmKCV6-SHKyaBZYgfmFDWXYGwMBg3dNO2FaCWBUtw=452>

Article Number 109276

Keming Bai, Linyuan He, Shiping Ma, Jiahao Dang, Jiacheng Ni, Kun Liu, Mingzhao Han, Xiaoyu Cai

Graphical abstract
[http://ars.els-cdn.com/content/image//1-s2.0-S0893608026007367-ga1.jpg]

MCFusion-DDI: Multimodal cross-attention fusion of local-global features and latent drug associations for explainable DDI prediction<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007380%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/_jaMkbd6lh44gimo3A7r_9LZSrLLmynm98J4mPL4RqQ=452>

Article Number 109278

Yongqing Zhang, Yugui Xu, Zhigan Zhou, Hao Yuan, Jin Wu, Quan Zou, Lei Xu

Concept mask-aware pruning and augmentation for few sample model compression<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007483%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/kzlZx7pWFRJaFhqGopF-SfM9gEtFnakcbwixSyyUIuw=452>

Article Number 109288

Yafeng Sun, Xingwang Wang, Junhong Huang, Shilin Chen

Multiple-Strategies dung beetle optimizer and its applications in engineering optimization and bankruptcy prediction<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007343%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/nI_j6BTGbcJXdBx0zmzpD5AC_STcI1jUfZAmHXCRG2I=452>

Article Number 109274

Dedai Wei, Kaichen Ouyang, Zimo Wang, Xinye Sha, Yiran Xie, Minyu Qiu, Zongfan Yi, Huiling Chen, Guoxi Liang

Aggregating global-scale pixel-wise forgery cues within a graph<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S089360802600732X%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/XG34sg-DCIzn3Z2Ohn2_UIa2DKDEkpGJzolsbsxRuq4=452>

Article Number 109272

Hengrun Zhao, Yifan Wang, Yunzhi Zhuge, Lijun Wang, Huchuan Lu

Exploiting audio-visual modalities in videos: Object detection via multi-stage bilateral coupling network<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007501%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/CBjHtBTSEOgD-MhLux0j5FOp_8dP7JJL2qmp8dIBuGs=452>

Article Number 109290

Qifeng Liu, Zujun Yu, Liqiang Zhu, Baoqing Guo, Yao Wang

Graphical abstract
[http://ars.els-cdn.com/content/image//1-s2.0-S0893608026007501-ga1.jpg]

TraNce: Type-aware hypergraph neural network with biological mediators for drug repositioning<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007847%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/iF3kUchDS41rWXfew03LKx70B02jfdln2FzTXx0UYSU=452>

Article Number 109324

Hai Cui, Haijia Bi, Ren Fu, Xingang Wang, Meiyu Duan, Yijia Zhang

Boosting deep detector efficiency and robustness through detection discriminant reorganization and compression<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fscience%3F_ob=GatewayURL%26_method=citationSearch%26_version=1%26_piikey=S0893608026007318%26_origin=RV_SD_TOC_EMAIL%26dgcid=raven_sd_via_email/1/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/wUNDtQpVs2q7PUAiQ7ekcsiDIxP2S7keporhEvpHXSg=452>

Article Number 109271

Jung Im Choi, Qizhen Lan, Qing Tian

Read the full issue on ScienceDirect<https://click.notification.elsevier.com/CL0/https:%2F%2Fwww.sciencedirect.com%2Fjournal%2Fneural-networks%2Fvol%2F204%2Fsuppl%2FC%3Fdgcid=raven_sd_via_email/3/010001a08d979c92-1e9d47bb-9838-49db-a262-45659ee953e7-000000/VNrUmdodPC8opt_1Wu0D3yzkKYU0NVb37smr8WP6AlQ=452>



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From bolz at cbs.mpg.de  Fri Sep 11 04:33:49 2026
From: bolz at cbs.mpg.de (Matthias Bolz)
Date: Fri, 11 Sep 2026 10:33:49 +0200 (CEST)
Subject: Connectionists: Please post: Fully funded PhD Positions at the Max
 Planck School of Cognition
Message-ID: <671190715.58794.1789115629714.JavaMail.zimbra@cbs.mpg.de>

Open Call for several PhD positions across excellent laboratories in Germany, Netherlands and UK

The Max Planck School of Cognition offers an international four-year doctoral program (Cognition Track and Clinician Scientist Track) starting with a one-year orientation period followed by three years of research for the doctorate.  

Students can enter with a Bachelor?s (fast-track) or a Master?s degree.

The current round of applications started on 1st of September, 2026 and closes on 1st of December, 2026 - i.e. applications and references have to be submitted through our online application portal by then.

For more information, please join our virtual Q&A sessions (sign up via webpage). 

You can submit your application here: https://cognition.maxplanckschools.org/en/application

For any additional inquiries please contact Matthias Bolz: Matthias.Bolz at maxplanckschools.de.



Dipl.-Psych. Matthias Bolz
Max Planck Institute for Human Cognitive and Brain Sciences
Stephanstra?e 1A, 04103 Leipzig, Germany
Phone: +49 341 - 99 40 - 2685
E-Mail: bolz at cbs.mpg.de
Homepage: http://www.cbs.mpg.de/~bolz
Department: Max Planck School of Cognition
Function: Media & Marketing Manager


From b.aristimunha at gmail.com  Thu Sep 10 17:44:47 2026
From: b.aristimunha at gmail.com (Bruno Aristimunha)
Date: Thu, 10 Sep 2026 23:44:47 +0200
Subject: Connectionists: EEG/EMG Foundation Challenge 2026!
Message-ID: <CAEDwSByam_C6ZtsWQavBBC_DimjApkHzmDNLJzRaxmEJ62pFag@mail.gmail.com>

Hello, connectionists e-mail list!

Can your EEG or EMG model still work when the person, recording session, or
stimulus changes?

That?s what we?re testing in the EEG/EMG Foundation Challenge 2026.
Registration is open, with four tracks and $20,000 in total awards.
https://neural-interfaces26.github.io

[image: 1 4.png]
[image: 2 2.png]
[image: 3 2.png]

Choose the problem you want to work on:

   - EEG-to-Image: identify images from brain activity.
   - BCI decoding: decode mental commands across recording sessions.
   - Sleep onset: estimate time to sleep onset in unseen participants.
   - EMG-to-Pose: predict hand pose from muscle signals.

Last year, 1,197 teams from more than 50 countries joined the Neurips EEG
Foundation Challenge 2025.

This year, we are expanding to EMG and new generalization tasks!

You can enter one track or all four. NeuralBench already has public starter
data, guides, and baselines, so you can get your pipeline running before
submissions open on September 21.

The warm-up runs through October 25, followed by evaluation on hidden data
until November 21. Winners will be celebrated at the NeurIPS Brain & Body
Workshop in Sydney on December 11?12.

Thank you to the track teams and our prize sponsors, Meta, Muse by
Interaxon, and Yneuro, for making this possible.

Choose your track and register:
https://neural-interfaces26.github.io/register.html


All the best,
-- 
Bruno Aristimunha
PhD in Computer Science (Resume
<https://docs.google.com/document/d/1Pba371Sv7Epgjz5kMwT2t8i3PgueNhpE8hN1nAR98iU/edit?usp=sharing>
)
https://bruaristimunha.github.io
https://www.linkedin.com/in/bruaristimunha/
Go open-source! https://github.com/bruAristimunha
__________________________________________
I work flexibly, so whilst it suits me to email you now, I do not expect a
response or action outside of your own working hours.
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From amar.halilovic at uni-ulm.de  Fri Sep 11 07:11:21 2026
From: amar.halilovic at uni-ulm.de (Amar Halilovic)
Date: Fri, 11 Sep 2026 13:11:21 +0200
Subject: Connectionists: =?utf-8?q?=5BParticipation=5D_Online_study=3A_Ask?=
 =?utf-8?q?ing_for_help_---_what_should_a_robot_request=3F?=
Message-ID: <a2d3f5c9-effe-0101-7ce6-cda17cefe600@uni-ulm.de>


Dear colleagues,
?
We are running an online study on how a robot should ask people for help.?
Participants will be presented with four rooms, each containing a stuck robot. For each room, you will see a picture of the room and two different requests the robot could make. Your task is to answer three short rating questions for each request and say which of the two you would rather the robot make, if either.
Duration: ~10 minutes. The study is anonymous. No personal identifiers are collected.
?
Link: https://xai-uni-ulm.limesurvey.net/910000?lang=en&newtest=Y
?
Thank you
--
M. Sc. Amar Halilovic
PhD Student in Explainable Artificial Intelligence for Robotics
Institute of Artificial Intelligence
Ulm University
https://www.uni-ulm.de/in/ki/inst/team/amar-halilovic/
?
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From terry at salk.edu  Fri Sep 11 12:22:13 2026
From: terry at salk.edu (Terry Sejnowski)
Date: Fri, 11 Sep 2026 09:22:13 -0700
Subject: Connectionists: NEURAL COMPUTATION - September 1, 2026
In-Reply-To: <E1g6gsu-00008w-JV@dale.snl.salk.edu>
Message-ID: <E1x540z-008Nwu-2M@dale.snl.salk.edu>

NEURAL COMPUTATION - Volume 38, Number 9 - September 1, 2026

http://www.mitpressjournals.org/toc/neco/38/9
http://cognet.mit.edu/content/neural-computation

Articles

Hierarchical Active Inference Using Successor Representations
Prashant Rangarajan and Rajesh Rao

Quantifying Information Stored in Synaptic Connections Rather Than in Firing Activities of Neural Networks
Xinhao Fan and Shreesh P Mysore

Letters

Neuronal Spike Trains as Functional-Analytic Distributions: Representation, Analysis, and Significance
Gabriel A Silva

Shape Matters: Few-shot Object Classification From High-information Contour Features
Maria Os?rio, Alexandre Bernardino, and Andreas Wichert

Unsupervised Feature Selection Using Bayesian Tucker Decomposition
Y-h. Taguchi and Yoh-ichi Mototake

Associative Memory and Generative Diffusion in the Zero-noise Limit
Joshua Hess and Quaid Morris

-----

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 michel.verleysen at uclouvain.be  Fri Sep 11 10:45:44 2026
From: michel.verleysen at uclouvain.be (Michel Verleysen)
Date: Fri, 11 Sep 2026 14:45:44 +0000
Subject: Connectionists: ESANN 2027 call for papers
Message-ID: <VI1PR03MB6157A75E77533B79C6387730E2BE2@VI1PR03MB6157.eurprd03.prod.outlook.com>

ESANN 2027 - 37th European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning
Bruges (Belgium) and online, 21-22-23 April 2027
https://www.esann.org

Call for papers

The call for papers is available at https://www.esann.org
Deadline for submissions: 18 November 2026.

The ESANN conferences cover artificial neural networks, machine learning, statistical information processing, and computational intelligence. The central topics of the conferences are the mathematical foundations, algorithms, and ML-AI tools and methodologies for generic use.  Applications are not a central focus of the conference; application-oriented papers will only be considered if the scope of possible applications is of generic interest to a large proportion of ESANN participants.

In addition to regular sessions, 6 special sessions will be organized on the following topics:

  *   Knowledge Discovery and Human-AI Collaboration in Biomedical Data Science
  *   New Frontiers in Graph Neural Networks: Emerging Architectures and Training Paradigms
  *   Learning with Few Annotations
  *   Where Kernels Meet Networks: Neural Tangent Kernels, Gaussian Processes and Beyond
  *   From Understanding Distributional Change to Informed Action
  *   Machine Learning Methods for Network Analysis and Processing

ESANN 2027 builds upon a successful series of conferences organized each year since 1993. ESANN has become a major scientific event in the machine learning, computational intelligence and artificial neural networks fields over the years.

The conference will be organized in hybrid mode.  In-person participation is strongly encouraged; however online participation is possible for those who cannot travel. The physical conference will be organized in Bruges, one of the most beautiful medieval towns in Europe. Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open-air museum.

We hope to receive your submission to ESANN 2027 and to see you in Bruges or online!



========================================================
ESANN - European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning
http://www.esann.org/

* For submissions of papers, reviews, registrations:
Michel Verleysen
UCLouvain - Machine Learning Group
3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium
tel: +32 10 47 25 51
mailto:esann at uclouvain.be

* Conference secretariat
d-side conference services
24 av. L. Mommaerts - B-1140 Evere - Belgium
tel: + 32 2 730 06 11
mailto:esann at uclouvain.be
========================================================




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From m.baratchi at liacs.leidenuniv.nl  Fri Sep 11 11:28:28 2026
From: m.baratchi at liacs.leidenuniv.nl (Baratchi, M. (Mitra))
Date: Fri, 11 Sep 2026 15:28:28 +0000
Subject: Connectionists: Postdoc vacancy on Causal Machine Learning for
 Spatio-temporal Datasets
Message-ID: <66B8B891-029C-45A4-A383-ED90BAB08E6B@liacs.leidenuniv.nl>

Dear all,


I am looking for a postdoctoral researcher to join us at Leiden University, the Netherlands, working on Causal Machine Learning for Spatio-temporal Datasets.

The postdoctoral researcher will join the STAR research group (https://star.liacs.nl/), led by Mitra Baratchi, and will also collaborate with Saber Salehkaleybar and Elena Raponi on research at the intersection of causal machine learning and spatio-temporal data analysis. We offer a full-time 2.5-year position.



Application deadline: 30 September 2026

More information:

https://careers.universiteitleiden.nl/job/Postdoc-on-Causal-Machine-Learning-for-Spatio-temporal-Datasets/16802-en_US/<https://www.linkedin.com/safety/go/?url=https%3A%2F%2Flnkd.in%2FdujbyZ6Y&urlhash=Q9c2&mt=urViuBNBEXWm95LdxfrZtbFSHHVQbyq8otpnWiGzcSRy7uEqOaYUD56awQijf3IRsaHp7MtoKXISSepARJkRkE-MqysuEMQb8lVzAG3fQ-0Q0uoTfQKqNHTUOg&isSdui=true>


Please get in touch if you are interested, and feel free to share with anyone who might be interested.


Regards,

Mitra

Mitra Baratchi | Associate professor | Leiden Institute of Advanced Computer Science | Leiden University
m.baratchi at liacs.leidenuniv.nl | www.mitrabaratchi.com

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From tomas.hromadka at gmail.com  Fri Sep 11 16:38:25 2026
From: tomas.hromadka at gmail.com (Tomas Hromadka)
Date: Fri, 11 Sep 2026 22:38:25 +0200
Subject: Connectionists: COSYNE 2027: Meeting announcement,
	Abstract submission is now open
Message-ID: <d5c8ecdd-b0ed-4818-bb4a-1a1e1f8a1afa@gmail.com>

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

Computational and Systems Neuroscience 2027 (Cosyne)

MAIN MEETING & WORKSHOPS
11 - 16 March 2027
Montreal, Canada

www.cosyne.org

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


----------------------------------------------------
                 MEETING ANNOUNCEMENT
----------------------------------------------------

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.

All abstract submissions will be reviewed double blind. The deadline for Abstract submission is 18 October 2026.

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.

We would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply.


IMPORTANT DATES

   Abstract submission is now open.
   Abstract submission deadline: 18 October 2026


When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented.


COSYNE INVITED SPEAKERS
   Dani Bassett (UPenn)
   Chand Chandrasekaran (Boston U)
   Christine Constantinople (NYU)
   Paul Cisek (U Montreal)
   Kevin Franks (Duke)
   Leslie P Kaelbling (MIT)
   Andy Leifer (Princeton)
   Scott Linderman (Stanford)
   Amy Orsborne (U Washington)
   Cengiz Pehlevan	Kempner (Harvard)
   Kanaka Rajan (Harvard; Kempner Inst)
   Rebecca Saxe (MIT)
   Carsen Stringer (Janelia)


ORGANIZING COMMITTEE
   General Chairs: Kimberly Stachenfeld (DeepMind) and Mark Histed (NIH)
   Program Chairs: Annegret Falkner (Princeton) and Guillaume Lajoie (MILA/U Montreal)
   Workshop Chairs: N Alex Cayco Gajic (ENS) and Marcelo Mattar (NYU)
   Tutorial Chairs: Eva Dyer (Georgia Tech) and Alex Williams (NYU)
   Mentorship and Networking Chairs: Renata Brito (Mount Sinai) and Srikanth Ramaswamy (Newcastle U)
   Undergraduate Travel Chairs: Lea Duncker (Columbia) and Kevin Miller (DeepMind)
   Development Chair: Michael Long (NYU)
   Media Chairs: Roxana Zeraati (MPI Biol Cybernetics) and Claire Sturgill (TU Dresden)
   Poster Design: Maja Bialon


EXECUTIVE COMMITTEE
   Stephanie Palmer (U Chicago)
   Anne-Marie Oswald (U Pittsburgh)
   Alexandre Pouget (U Geneva)
   Anthony Zador (CSHL)


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 Cosyne.org -> About-> Mailing lists for details.

From mohijab at hbku.edu.qa  Sun Sep 13 06:20:31 2026
From: mohijab at hbku.edu.qa (Dr. Mohamad Hassan Hijab)
Date: Sun, 13 Sep 2026 10:20:31 +0000
Subject: Connectionists: CFP: Extended Abstracts - Web3D 2026 Workshop
Message-ID: <MRWP193MB3144BECD91BCC76B5F963865E0BC2@MRWP193MB3144.EURP193.PROD.OUTLOOK.COM>

Call for Extended Abstracts - Web3D 2026 Workshop
Beyond Observation: Designing 3D Games for Neurodiversity Assessment and Intervention
Tuesday, 13 October 2026 ? 10:00-11:30 AM (GMT+3) - Doha, Qatar ? Hybrid (in-person + online)
Interactive 3D games and WebXR environments are usually framed as entertainment, yet they are also structured, naturalistic settings in which behavior can be observed and measured. This workshop explores how such environments can be designed as tools for assessment, learning, therapy, and intervention with autistic and other neurodiverse users, and how to do so in an accessible, neurodiversity-affirming way that complements, never replaces, clinician and caregiver judgment.
We invite:

  *
Extended abstracts (up to 2 pages, ACM format, references excluded): research, works-in-progress, or demos
  *
Industry position statements (1?2 pages, free format): applied perspectives, tools, deployments

Topics include (not limited to):

  *
Quantifying behavior during gameplay: gaze, movement, navigation, object interaction, response timing, task choices, performance
  *
Designing gameplay to index attention, engagement, decision-making, and relating game-derived measures to clinician- and questionnaire-based assessment
  *
Behavioral analytics, machine learning, and candidate digital biomarkers from multimodal gameplay data
  *
Accessibility and neurodiversity-affirming design for immersive 3D: sensory load, cognitive load, navigation, pacing, customization
  *
Participatory design and co-design with neurodivergent users
  *
Ethics, validity, and responsible interpretation
  *
Deployment in clinics, schools, and homes

Important dates:

  *
Submission: 22 September 2026 (AoE)
  *
Notification: 28 September 2026
  *
Materials due: 11 October 2026
  *
Workshop: 13 October 2026

Submit: https://forms.gle/6g6wFBMhSt76N9xZ7 - Accepted contributions are presented as lightning talks or live demos; at least one author must attend (in person or online).
Program highlights:
keynote speaker; A-Sense project showcase (MARVoc, ShopAutiPlan, EmpowerOT, joint & selective attention); panel with industry, researcher, and practitioner voices; community roadmap toward a co-authored position paper and standing research network.
For any inquiry, please contact: mohijab at hbku.edu.qa<mailto:mohijab at hbku.edu.qa>


Dr. Mohamad Hassan Hijab
Laboratory Manager
College of Science and Engineering
www.hbku.edu.qa<https://www.hbku.edu.qa>

[HBKU-RGB.png]

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From luigi.acerbi at helsinki.fi  Mon Sep 14 09:35:31 2026
From: luigi.acerbi at helsinki.fi (Luigi Acerbi)
Date: Mon, 14 Sep 2026 16:35:31 +0300
Subject: Connectionists: PhD and postdoc openings in Probabilistic ML at
 Univ. of Helsinki and ELLIS Institute Finland
In-Reply-To: <CAAMFxpargyi3D39dasS3Xg-P0MeMoi2FvmCRFP0Rg011a6FJvA@mail.gmail.com>
References: <CAAMFxpargyi3D39dasS3Xg-P0MeMoi2FvmCRFP0Rg011a6FJvA@mail.gmail.com>
Message-ID: <CAAMFxpaoScK7QECsJ5duAf2kFMKbw3hHS7NAADK6to2Oh6jG+w@mail.gmail.com>

Dear all,

I am hiring a PhD student and/or postdoc to join my group
<https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence>
at the University of Helsinki and ELLIS Institute Finland.

The general topic is Amortized Probabilistic Machine Learning for
Decision-Making with applications in healthcare and scientific modelling.
The project is also associated with FINe-Health Foundry
<https://www.ellisinstitute.fi/a-world-first-nationwide-ai-model-will-boost-decision-making-in-healthcare>,
a consortium project developing a cutting-edge foundation model for
healthcare.

Applications must go through the general ELLIS Institute Finland call here:
https://www.ellisinstitute.fi/postdoc-and-phd-recruit-autumn-2026

Deadline is September 21; if interested, specify that you want to work with
me.

More information about this position:
https://www.helsinki.fi/en/researchgroups/machine-and-human-intelligence/phdpostdoc-position-in-amortized-probabilistic-machine-learning-for-decision-making-with-ellis-institute-finland

Best,
Luigi

--
Luigi Acerbi, Ph.D.
Associate Professor of Machine and Human Intelligence
Department of Computer Science, University of Helsinki
Lab: http://www.helsinki.fi/machine-and-human-intelligence
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From jose at rubic.rutgers.edu  Mon Sep 14 09:31:34 2026
From: jose at rubic.rutgers.edu (=?utf-8?B?U3RlcGhlbiBKb3PDqSBIYW5zb24=?=)
Date: Mon, 14 Sep 2026 13:31:34 +0000
Subject: Connectionists: WORKSHOP on PSYCHOLOGICAL MODELS
Message-ID: <40e85c51-234e-4ee9-845a-ee8591e31a0b@rubic.rutgers.edu>

Interpretability in Psychological Models
Online, 15 October 2026, 15:30?19:20 CEST

What does it mean for a psychological model to be interpretable? Are some model classes more interpretable than others? And how does interpretability relate to explanation, prediction, parsimony, scope, and generalisability?

This online event brings together perspectives from mathematical psychology, cognitive modelling, machine learning, psychometrics, and philosophy of science. It will feature four short talks by Adam Sanborn, Marcel Binz, Adrian Erasmus, and Olivia Guest, each followed by a structured panel discussion.

The event also marks the public launch of the Theory, Model, Measurement (TMM) Network, a new international network focused on strengthening the connections between psychological theory, formal and computational models, and measurement. TMM aims to create a space for discussing the conceptual and methodological questions that arise at these intersections, support early career researchers and diverse perspectives, and encourage future discussions, workshops, and collaborative projects across research communities.

Event programme and registration:
https://tmmpsych.vercel.app/events/interpretability-panel


--
[cid:part1.qm1YTb03.t4LnWrRG at rubic.rutgers.edu]
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From pbellan at fbk.eu  Mon Sep 14 09:36:49 2026
From: pbellan at fbk.eu (Patrizio Bellan)
Date: Mon, 14 Sep 2026 15:36:49 +0200
Subject: Connectionists: Call for contribution - Knowledge and Natural
 Language Processing Track @ ACM SAC 2027
Message-ID: <CAD917MtzsjZ1_DwULs8weimJE0NmadKY5T+vv6XYqyLYKyu=SA@mail.gmail.com>

As Artificial Intelligence systems increasingly rely on both language
understanding and structured knowledge, bridging Natural Language
Processing and Knowledge Engineering has become a central challenge for the
next generation of intelligent systems. The rapid evolution of Large
Language Models and knowledge-based AI is creating new opportunities?and
new challenges?in how machines acquire, represent, connect, and reason over
knowledge. Understanding language alone is no longer enough: modern AI
systems must also be able to organize knowledge, integrate it with
linguistic information, and use it effectively to support reasoning. As a
result, the relationship between language, knowledge, and reasoning has
emerged as one of the key research frontiers in contemporary Artificial
Intelligence.

The Knowledge and Natural Language Processing (KNLP) Track at the ACM
Symposium on Applied Computing investigates methods and applications at the
intersection of *Knowledge Engineering* and *Natural Language Processing*,
with particular emphasis on approaches that combine these two areas.

KNLP is an emerging and highly interdisciplinary research field at the core
of Artificial Intelligence. It brings together and complements scientific
advances in Natural Language Processing, Knowledge Representation and
Reasoning, Machine Learning, and related disciplines.


*Topics of Interest*

Topics of interest include, but are not limited to, the following.

*Natural Language Processing*

   - NLP methods for knowledge extraction
   - NLP for ontology population and ontology learning
   - Sentiment analysis and opinion mining for knowledge-based applications
   - Interplay between natural language and ontologies
   - NLP for explainable knowledge
   - Machine translation techniques for multilingual knowledge
   - NLP for the Web
   - Bias detection and mitigation in small and large language models
   - Interaction between small or large language models and knowledge

*Knowledge*

   - Knowledge-enhanced NLP
   - Knowledge for information retrieval
   - Knowledge-based sentiment analysis and opinion mining
   - Combining knowledge and deep learning for NLP
   - Knowledge technologies for the Web
   - Knowledge-enhanced agentic reasoning
   - Agent reasoning over knowledge graphs and ontologies
   - Knowledge-based agent personalization
   - Linked Data for NLP
   - Knowledge-based natural language explainability
   - Language-model-enhanced ontology and knowledge engineering
   methodologies and tools
   - Language-model-based agents for knowledge extraction, reasoning, and
   management
   - Ontology evaluation using small and large language models
   - Ontological knowledge representation and memorization in language
   models
   - Knowledge-based techniques for language models, including
   Retrieval-Augmented Generation, fact-checking, and bias mitigation
   - Question answering over knowledge graphs using small and large
   language models

*Real-World Applications Exploiting Knowledge and NLP*

   - Knowledge and NLP systems for Big Data scenarios
   - Knowledge and NLP technologies supporting a diverse, equitable, and
   inclusive society
   - Deployment and evaluation of Knowledge and NLP systems in domains such
   as:
      - Digital Humanities and Social Sciences
      - eGovernment and public administration
      - Life sciences, healthcare, and medicine
      - News, media, and data-streaming environments

*Paper Submission*

We invite original research papers and experience reports addressing the
topics listed above.

Submissions must not have been previously published or be under
consideration for publication elsewhere. Papers must be submitted in PDF
format using the official ACM SAC proceedings template.

Authors? names and affiliations must be entered separately in the
submission system and must not appear in the submitted manuscript. All
submissions will undergo a *double-blind peer-review process* in accordance
with ACM SAC regulations.

Submissions to the *Student Research Competition (SRC)* are also welcome.
Prospective authors should consult the SAC 2027 SRC page for eligibility
requirements and submission instructions.

*Submission Policy*

   - All papers must initially be submitted as *regular papers*. There is
   no separate submission category for poster papers.
   - Papers will be evaluated according to their originality, technical
   contribution, presentation quality, and relevance to the Knowledge and
   Natural Language Processing Track.
   - Depending on the outcome of the review process and the overall
   acceptance-rate constraints, technically sound submissions that cannot be
   accepted as regular papers may be offered acceptance as posters.
   - Although there is no formal minimum page requirement, submissions
   shorter than *four full pages* that do not demonstrate a substantial
   contribution may be desk-rejected without external review.

*Submission Links*

   - *Regular papers and SRC abstracts:* submission links are available
   through the ACM SAC 2027 website <https://www.sigapp.org/sac/sac2027/>
   - *Author kit and templates:* formatting instructions and official
   templates are available through the ACM SAC 2027 website
   <https://www.sigapp.org/sac/sac2027/>

*Important Dates*

Please consult the official ACM SAC 2027 website
<https://www.sigapp.org/sac/sac2027/#important-dates> for up-to-date
deadlines and possible changes.

   - *October 2, 2026:* Regular paper and SRC abstract submission
   - *November 13, 2026:* Author notification
   - *November 28, 2026:* Camera-ready copies of accepted papers and SRC
   submissions
   - *December 5, 2026:* Author registration deadline
   - *April 5?9, 2027:* Knowledge and Natural Language Processing Track at
   ACM SAC 2027

All deadlines follow the time zone specified on the official conference
website.

*Further Information*

For further information, please visit the Knowledge and Natural Language
Processing Track website <https://knlp.fbk.eu/> and the ACM SAC 2027
conference website <https://www.sigapp.org/sac/sac2027/>.

Questions may be addressed to the KNLP Track Co-Chairs <knlp at fbk.eu>.

-- 
--
Le informazioni contenute nella presente comunicazione sono di natura?
privata e come tali sono da considerarsi riservate ed indirizzate?
esclusivamente ai destinatari indicati e per le finalit? strettamente?
legate al relativo contenuto. Se avete ricevuto questo messaggio per?
errore, vi preghiamo di eliminarlo e di inviare una comunicazione?
all?indirizzo e-mail del mittente.

--
The information transmitted is 
intended only for the person or entity to which it is addressed and may 
contain confidential and/or privileged material. If you received this in 
error, please contact the sender and delete the material.
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From jinyuedeng at 163.com  Tue Sep 15 03:51:04 2026
From: jinyuedeng at 163.com (=?UTF-8?Q?=E9=82=93=E9=87=91=E7=8E=A5_______?=)
Date: Tue, 15 Sep 2026 15:51:04 +0800 (CST)
Subject: Connectionists: IEEE HITC Awards - Call for Nomination - 2026
Message-ID: <a635eb7.6dee.1a0a40c4ca7.Coremail.jinyuedeng@163.com>

Dear Colleagues,

Please accept our sincere apologies if you receive multiple copies of this message.

The IEEE Technical Committee on Hyper-Intelligence (HITC) is a technical committee within IEEE Systems Council, aimed at fostering research and education in hyper-intelligent systems with applications. The IEEE Technical Committee on Hyper-Intelligence (HITC) solicits nominations for its 2026 awards. Each award includes a plaque presented at a selected IEEE HITC sponsored conference, along with a public citation on the IEEE HITC website. The committee solicits nominations of

- Early Career Researcher (ECR) Award (https://hyper-intelligence.org/award-early.html)
- Middle Career Researcher (MCR) Award (https://hyper-intelligence.org/award-middle.html)
- Technical Achievement Award (https://hyper-intelligence.org/award-achievement.html)
- Outstanding PhD Dissertation Award (https://hyper-intelligence.org/award-thesis.html)
- Industrial Impact Award (https://hyper-intelligence.org/award-industrial.html)


-------------
Submissions:
Nominations must be submitted via email (as a single PDF file) to the Award Selection Secretary, Xiaokang Zhou (zhou at kansai-u.ac.jp), and CC the Committee Chair, Laurence T. Yang (ltyang at ieee.org). The subject of the nomination email should be named as: HITC + Award Category + Nominee, e.g. HITC-Early Career Award-Obama.

-------------
Important Dates:
- Nomination Deadline: September 25, 2026 (Extended)
- Results Notification: October 2, 2026 (Extended)

-------------
Award Selection Committee:
- Laurence T. Yang (Chair), Zhengzhou University, China (ltyang at ieee.org)
- Flavia C. Delicato, Fluminense Federal University, Brazil (felipe at cos.ufrj.br)
- Bernady O. Apduhan, Kyushu Sangyo University, Japan (bob at is.kyusan-u.ac.jp)
- Anna Kobusi?ska, Poznan University of Technology, Poland (Anna.Kobusinska at cs.put.poznan.pl)
- Klimis Ntalianis, University of West Attica, Greece (kntal at image.ntua.gr)

-------------
Award Selection Secretary: 
- Xiaokang Zhou, Kansai University, Japan (zhou at kansai-u.ac.jp)

-------------
Award & Presentation Note:
Awardees will be presented a plaque and will be recognized by IEEE HITC in its website, newsletter and archives. The awards for 2026 will be presented at AI for Science Congress 2026 (IEEE HITC sponsored conference) - Kuala Lumpur, Malaysia, 27-30 December, 2026.



=============
IEEE HITC Award for Excellence for Early Career Researchers - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Early Career Researchers) recognizes up to 5 individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of hyper-intelligent systems. Typically, the candidates are within 5 years of receiving their PhD degree as of January 01 of the year of the award.

-------------
Nominations: 
A candidate may be nominated by members of the community. An individual may nominate at most one candidate for this award. A nomination application (as a single PDF file) should contain the following details:
? Name/email of person making the nomination (self-nominations are not eligible).
? Name/email of candidate for whom the award is recommended.
? A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE HITC.
? CV of the nominee.
? Up to three support letters from persons other than the nominator ? these should be collected by the nominator and included in the nomination. Members of selection committee cannot be nominators or referees.



=============
IEEE HITC Award for Excellence for Middle Career Researchers - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Middle Career Researcher) recognizes up to 3 individuals who have made distinguished, influential, and on-going yet towards long-lasting contributions in the field of hyper-intelligent systems with applications. Typically, the candidates are within 5 to 15 years of receiving their PhD degree as of January 01 of the year of the award.

-------------
Nominations: 
A candidate must be nominated by members of the community. A nomination application (as a single PDF file) must consist of the following materials:
? Name/email of person making the nomination (self-nominations are not eligible).
? Name/email of the nominee.
? A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE HITC.
? CV of the nominee.
? Up to three support letters from persons other than the nominator-these should be collected by the nominator and included in the nomination.



=============
IEEE HITC Award for Excellence for Technical Achievement - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Technical Achievement) is awarded for significant and sustained contributions to the hyper-intelligent systems community through the Technical Committee on Hyper-Intelligence (HITC), coupled with an outstanding record of high quality and high impact research. The award contains a plaque.

-------------
Nominations:
A candidate may be nominated by colleagues/HITC members or may nominate him/her-self. An individual can nominate at most one candidate for this award. The candidate must be an IEEE and HITC member in good standing. A nomination application (as a single PDF file) should contain the following details:
? Professional Employment Affiliations: List the nominee's current professional affiliations and titles.
? Citation: Give a brief citation (thirty words or less) precisely stating the most salient reason(s) why the nominee is qualified for the award.
? Technical Contributions: Describe the nominee's technical achievements in scalable computing as well as significance and impact. (Max 2-page length)
? HITC Contribution: Describe the candidate?s service and specific contributions to HITC. (Max 2-page length)
? Endorsers: Each nomination must be supported by letter from three at least endorsers. An endorser can endorse only one candidate for this award. The endorsers will be required to comment on the nominee's technical contributions as well as service contributions to the HITC. The endorsement letters should be included in the nomination package.



=============
IEEE HITC Outstanding PhD Dissertation Award - 2026

The IEEE HITC Outstanding PhD Dissertation Award is an annual award to recognize candidates that have recently received a PhD degree for no more than 2 years and have written an outstanding PhD dissertation in the field of the hyper-intelligent systems with applications. This award is established to encourage doctoral research that combines theory and practice or makes in-depth technical contributions, having the potential to contribute to the IEEE HITC.

-------------
Nominations:
A candidate may be nominated by members of the community. An individual may nominate at most one candidate for this award. A nomination application (as a single PDF file) must consist of the following materials:

? Name/email of person making the nomination (self-nominations are not eligible).
? Name/email of candidate.
? A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award and a brief summary of the service contributions.
? CV of the nominee.
? A doctoral dissertation written by the applicant in any language, no more than 2 years prior to the submission deadline.
? A summary of the dissertation in English of up to 2 pages in length written by the PhD candidate, highlighting the significance of the problem, the technical approach taken, and the application context and potential.
? Sample published paper(s) in English based on the dissertation written primarily by the PhD candidate in scientific journals, especially IEEE Transactions/Journals.
? Listing of all publications by the applicant in the related field.
? A letter of recommendation from the applicant?s dissertation advisor that assesses the significance of the research, attests to the originality of the work, and comments on the engagement of the applicant in the HITC field.
? Up to three support letters from persons other than the nominator; these should be collected by the nominator and included in the nomination.


=============
IEEE HITC Award for Excellence for Industrial Impact Award - 2026

The HITC Award for Excellence in Hyper-Intelligence (Industrial Impact Award) recognizes up to 3 individuals or small companies who have made distinguished, influential, and on-going yet towards long-lasting contributions in the field of hyper-intelligent systems with applications.

-------------
Nominations: 
A candidate must be nominated by members of the community. A nomination application (as a single PDF file) must consist of the following materials:
? Name/email of person making the nomination (self-nominations are not eligible).
? Name/email of the nominee.
? A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award both on excellence and in relation to IEEE HITC.
? CV of the nominee or supporting materials of the company showing the current impact/potential impact of the innovation (max 20-page length)
? Up to three support letters from persons other than the nominator-these should be collected by the nominator and included in the nomination.

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From giovanni.stanco at unina.it  Tue Sep 15 06:54:45 2026
From: giovanni.stanco at unina.it (GIOVANNI STANCO)
Date: Tue, 15 Sep 2026 10:54:45 +0000
Subject: Connectionists: CoNEXT 2026 Student Workshop
In-Reply-To: <DB9PR02MB99453D8B1712FD6B1BD7580381BA2@DB9PR02MB9945.eurprd02.prod.outlook.com>
References: <DB9PR02MB9945B9087785D0AA32CDD29481BA2@DB9PR02MB9945.eurprd02.prod.outlook.com>
 <DB9PR02MB994576212BE567503FEB6E5C81BA2@DB9PR02MB9945.eurprd02.prod.outlook.com>
 <DB9PR02MB9945F27E30412D50BE49FAA881BA2@DB9PR02MB9945.eurprd02.prod.outlook.com>
 <DB9PR02MB9945D21396FC9AADA603C85181BA2@DB9PR02MB9945.eurprd02.prod.outlook.com>
 <DB9PR02MB99453D8B1712FD6B1BD7580381BA2@DB9PR02MB9945.eurprd02.prod.outlook.com>
Message-ID: <DB9PR02MB9945122B839DA64ED64953FA81BA2@DB9PR02MB9945.eurprd02.prod.outlook.com>

Dear Community,

We would like to remind you that the submission deadline for the CoNEXT 2026 Student Workshop is next week. If you or your student co-authors have work that you would be interested in presenting, the workshop offers an opportunity to participate in CoNEXT this year, and we encourage you to consider submitting.



Students who submit work to the workshop may also apply for travel grant support, with preference given to those actively contributing to the conference or workshop program. We also note that the accepted submissions will be included in the conference proceedings and available in the ACM Digital Library.



The CoNEXT 2026 Student Workshop will be co-located with ACM CoNEXT 2026 in Utrecht, The Netherlands, on December 7, 2026.

Early-stage ideas, ongoing projects, more mature dissertation research, and unconventional work are all very welcome, with the workshop providing an opportunity to receive feedback from researchers and peers.



Length: 2 pages

Deadline: September 18, 11:59 PM AoE

CFP: https://conferences.sigcomm.org/co-next/2026/#!/workshop-student

Submission site: https://conext26-sw.hotcrp.com<https://conext26-sw.hotcrp.com/>

Feel free to share this opportunity with students and colleagues who might be interested.

Best Regards,

CoNEXT 2026 Student Workshop Chairs

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From riccardo.cappi at phd.unipd.it  Tue Sep 15 14:56:38 2026
From: riccardo.cappi at phd.unipd.it (Riccardo Cappi)
Date: Tue, 15 Sep 2026 20:56:38 +0200
Subject: Connectionists: [CFP] ESANN 2027 Special Session on New Frontiers
	in Graph Neural Networks
Message-ID: <CAG=+nEh=zAPyCOvoK2q9+yjb7=vqQqjGVRnVePCHEPZPFw8Wew@mail.gmail.com>

Dear colleagues,

We are organizing a special session at ESANN 2027, the 35th European
Symposium on Artificial Neural Networks, Computational Intelligence and
Machine Learning, and we invite you to submit your original research
findings.

*SPECIAL SESSION*
New Frontiers in Graph Neural Networks: Emerging Architectures and Training
Paradigms <https://www.esann.org/special-sessions#session3>

ESANN 2027 - Bruges (Belgium) and Online
21-23 April 2027
https://www.esann.org

*IMPORTANT DATES*

Paper submission deadline:   18 November 2026 (AoE)
Notification of acceptance:  22 January 2027
Conference:  21-23 April 2027, Bruges (Belgium)

*SESSION DESCRIPTION*
Graph Neural Networks have become a leading framework for learning from
relational and graph-structured data. However, the growing scale and
complexity of real-world graphs are exposing the limitations of
conventional message-passing architectures and standard training methods.
This special session will focus on emerging graph learning models that
exploit topological, geometrical, spectral, physical, and dynamical
principles. It will also cover novel training paradigms aimed at improving
scalability, data efficiency, memory usage, and energy consumption. Topics
include but are not limited to:

  - Graph representation learning
  - Advanced graph neural architectures
  - Backpropagation-free graph learning
  - Graph structure learning and relational inference
  - Theory of graph neural networks (expressive power, learnability,
negative results)
  - Explainability in graph learning
  - Learning on complex graphs (dynamic graphs, heterogeneous graphs)
  - Randomized neural networks for graphs (e.g. reservoir computing)
  - Recurrent, recursive and contextual models
  - Scalability, data efficiency and training techniques of graph neural
networks
  - Architectures for foundation models operating on graphs
  - Graph datasets and benchmarks

The session aims to connect architectural innovation, theoretical
understanding, and resource-efficient learning to identify promising
directions for the next generation of Graph Neural Networks.

*SUBMISSION NOTES*
Papers submitted to a special session follow exactly the same format,
instructions, deadlines and submission procedure as regular submissions,
and are reviewed according to the same rules. Please remember to indicate
our special session on the paper submission form so that your paper is
routed to us. Papers must not exceed 6 pages, including figures and
references, and must be prepared with the official ESANN LaTeX or Word
template, which you can find here: Author Guidelines
<https://www.esann.org/author_guidelines>. The review process is single
blind. Please check the author guidelines page and the submissions
<https://www.esann.org/node/6> page for the full and up-to-date
instructions.

*ORGANIZERS*
- Riccardo Cappi (corresponding organizer), University of Padua, Italy -
riccardo.cappi at phd.unipd.it
- Caterina Graziani, University of Siena, Italy -
caterina.graziani2 at unisi.it
- Luca Pasa, University of Padua, Italy - luca.pasa at unipd.it
- Nicol? Navarin, University of Padua, Italy - nicolo.navarin at unipd.it
- Pascal Welke, Lancaster University Leipzig, Germany -
p.welke at lancaster.ac.uk
- Franco Scarselli, University of Siena, Italy - franco.scarselli at unisi.it
- Alessandro Sperduti, University of Padua, Italy -
alessandro.sperduti at unipd.it

Please don?t hesitate to contact us if you have any questions. We look
forward to receiving your submissions.

The organizers
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From augenstein at di.ku.dk  Wed Sep 16 04:01:19 2026
From: augenstein at di.ku.dk (Isabelle Augenstein)
Date: Wed, 16 Sep 2026 08:01:19 +0000
Subject: Connectionists: [2nd call] Postdoc in Mechanistic Understanding of
 AI Reasoning at University of Copenhagen
Message-ID: <E2966B00-CFF0-4B42-96C5-C2C372CE401A@ku.dk>

We are seeking to recruit a postdoctoral researcher to work on understanding the mechanisms of AI reasoning. Their core duty will be to advance our understanding of how LLMs acquire, integrate and reason over evolving, pluralistic knowledge using mechanistic interpretability methods. This can involve the development of novel conceptual frameworks, methods, or empirical studies. The postdoc?s duties will also to a small degree include teaching or supervision.

The position is offered in the context of the context of an ERC Starting Grant held by Isabelle Augenstein on ?Explainable and Robust Automatic Fact Checking (ExplainYourself<https://cordis.europa.eu/project/id/101077481>)?, as well the Pioneer Centre for AI.

The position will be offered from 1 February 2027 or as close to this date as possible, for a period of two years, with the possibility of extension contingent on funding availability.

Apply here by 30 September 2026, 23:59 CET to be considered: https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=3010&departmentId=19976&ProjectId=167176&MediaId=4917&SkipAdvertisement=false


Who are we looking for?
Applicants should hold a PhD degree or equivalent in Computer Science or a related field, and have good written and oral English skills. The assessment of qualifications will also be made based on previous scientific publications and relevant work experience. The ideal candidate would have an educational background, prior research or work experience on Natural Language Processing, Machine Learning, and/or Explainable AI.


Our group and research -- and what do we offer?
The successful candidate will join the CopeNLU group<http://www.copenlu.com/> at the University of Copenhagen. CopeNLU is a vibrant and collaborative research group led by Isabelle Augenstein and Pepa Atanasova with a focus on fair and accountable NLP. We are interested in core methodology research on interpretability, explainability and bias detection; as well as applications to tasks such as fact checking and cross-cultural learning. With a strong focus on both foundational and applied research, we provide a platform for exploring cutting-edge topics in NLP, while also emphasising the importance of transparent and responsible AI development.

We are affiliated with the Pioneer Centre for AI<https://www.aicentre.dk/> at the Department of Computer Science<https://di.ku.dk/english/>, Faculty of SCIENCE, University of Copenhagen, located in central Copenhagen. The Pioneer Centre focuses on fundamental AI research, and within an interdisciplinary framework, develops platforms, methods, and practices that address society?s greatest challenges. It consists of seven AI research themes, with one being Speech and Language. The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked second in Europe according to CSRankings.


Isabelle Augenstein, Dr. Scient., Ph.D.
Professor and Deputy Head of Department for Research
Department of Computer Science

University of Copenhagen
?stervold Observatory
?ster Voldgade 3
1350 Copenhagen

augenstein at di.ku.dk<mailto:augenstein at di.ku.dk>
http://isabelleaugenstein.github.io/
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From lrubchin at iu.edu  Wed Sep 16 08:41:41 2026
From: lrubchin at iu.edu (Rubchinsky, Leonid L)
Date: Wed, 16 Sep 2026 12:41:41 +0000
Subject: Connectionists: Organization for Computational Neurosciences - call
 for self-nominations to the Board of Directors
In-Reply-To: <PH0PR08MB110026A1E7585F8D923DD750FB979A@PH0PR08MB11002.namprd08.prod.outlook.com>
References: <CO1PR08MB69819FB3B17745DFA90B470ED550A@CO1PR08MB6981.namprd08.prod.outlook.com>
 <CO1PR08MB6981E097ADF03186D6ED4D8CD54F2@CO1PR08MB6981.namprd08.prod.outlook.com>
 <CO1PR08MB698156CCA83330490C6632F6B9F32@CO1PR08MB6981.namprd08.prod.outlook.com>
 <CO1PR08MB698105C0ACAB5E095477CD91B93E2@CO1PR08MB6981.namprd08.prod.outlook.com>
 <PH0PR08MB110026225CCBFABB1C344BA56B9A1A@PH0PR08MB11002.namprd08.prod.outlook.com>
 <PH0PR08MB11002927E8AE2B5ECBA26C3D6B994A@PH0PR08MB11002.namprd08.prod.outlook.com>
 <PH0PR08MB110020F3DFD5008FBA7D4B240B994A@PH0PR08MB11002.namprd08.prod.outlook.com>
 <PH0PR08MB110026A1E7585F8D923DD750FB979A@PH0PR08MB11002.namprd08.prod.outlook.com>
Message-ID: <IA6PR08MB3013924A86C352C444995F4EBBB9BA2@IA6PR08MB301392.namprd08.prod.outlook.com>

Dear colleagues,

The Organization for Computational Neurosciences is inviting self-nominations for the election to the OCNS Board of Directors. All members with active OCNS membership status (all dues paid before the application deadline) can self-nominate, provided they: (i) have been a member of OCNS for a minimum of 12 months, or (ii) have attended an on-site CNS conference in the past.

Information about the new Directors? election and how to apply can be found at https://www.cnsorg.org/election-procedures

The deadline for application is October 7, 2026.

Best regards,

Leonid Rubchinsky
OCNS Vice President
On behalf of the OCNS Nomination Committee


***********************
Leonid Rubchinsky, PhD
Professor

Department of Mathematical Sciences, Indiana University Indianapolis
Stark Neurosciences Research Institute, Indiana University School of Medicine
402 N. Blackford St
Indianapolis, IN 46202-3216

lrubchin at iu.edu
https://lrubchin.pages.iu.edu
***********************

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From emergingtechnetwork.publicity at gmail.com  Wed Sep 16 08:26:27 2026
From: emergingtechnetwork.publicity at gmail.com (=?UTF-8?Q?Gizem_G=C3=BCltekin_Varkonyi?=)
Date: Wed, 16 Sep 2026 15:26:27 +0300
Subject: Connectionists: FLLM2026 (Co-Sponsored by IEEE): The 4th
 International Conference on Foundation and Large Language Models,
 17 - 20 November 2026 | Barcelona, Spain
Message-ID: <CAE5tuR5Ji=UGfYjaQuZ4RDrFC0h1-GKF6=KgtexqQ7pLa6mJ4Q@mail.gmail.com>

[Apologies if you got multiple copies of this invitation]

The 4th International Conference on Foundation and Large Language Models

(FLLM 2026)


 https://fllm-conference.org/2026/index.php

17 - 20 November 2026 | Barcelona, Spain

Hybrid Conference and Technically Co-Sponsored by IEEE Spain Section

*FLLM 2026 CFP:*

With the emergence of foundation models (FMs) and Large Language Models
(LLMs) that are trained on large amounts of data at scale and adaptable to
a wide range of downstream applications, Artificial intelligence is
experiencing a paradigm revolution. BERT, T5, ChatGPT, GPT-4, Falcon 180B,
Codex, DALL-E, Whisper, and CLIP are now the foundation for new
applications ranging from computer vision to protein sequence study and
from speech recognition to coding. Earlier models had a reputation of
starting from scratch with each new challenge. The capacity to experiment
with, examine, and comprehend the capabilities and potentials of
next-generation FMs is critical to undertaking this research and guiding
its path. Nevertheless, these models are currently inaccessible as the
resources required to train these models are highly concentrated in
industry, and even the assets (data, code) required to replicate their
training are frequently not released due to their demand in the real-time
industry. At the moment, mostly large tech companies such as OpenAI,
Google, Facebook, and Baidu can afford to construct FMs and LLMS. Despite
the expected widely publicized use of FMs and LLMS, we still lack a
comprehensive knowledge of how they operate, why they underperform, and
what they are even capable of because of their emerging global qualities.
To deal with these problems, we believe that much critical research on FMs
and LLMS would necessitate extensive multidisciplinary collaboration, given
their essentially social and technical structure.

The International Conference on Foundation and Large Language Models (FLLM)
addresses the architectures, applications, challenges, approaches, and
future directions. We invite the submission of original papers on all
topics  with special interest in but not limited to:


   -     *Architectures and Systems*
      - Transformers and Attention
      - Bidirectional Encoding
      - Autoregressive Models
      - Massive GPU Systems
      - Prompt Engineering
      - Multimodal LLMs
      - Fine-tuning
   -     *Challenges*
      - Hallucination
      - Cost of Creation and Training
      - Energy and Sustainability Issues
      - Integration
      - Safety and Trustworthiness
      - Interpretability
      - Fairness
      - Social Impact
   - *    Future Directions*
      - Generative AI
      - Explainability and EXplainable AI
      - Retrieval Augmented Generation (RAG)
      - Federated Learning for FLLM
      - Large Language Models Fine-Tuning on Graphs
      - Data Augmentation
   - *    Natural Language Processing Applications*
      - Generation
      - Summarization
      - Rewrite
      - Search
      - Question Answering
      - Language Comprehension and Complex Reasoning
      - Clustering and Classification
   - *    Applications*
      - Natural Language Processing
      - Communication Systems
      - Security and Privacy
      - Image Processing and Computer Vision
      - Life Sciences
      - Financial Systems

*Call for Special Tracks Papers:*


   - *Short papers:* (4-6 pages).
   - *Poster papers:* (1-2 Pages)
   - *Position Paper:* (2-4 pages)
   - *PhD Symposium:* (Up to 6 Pages)
   - *Demos :* (Up to 2 Pages)
   - *Systemization of Knowledge (SoK) or Focused Surveys:* (10-15 pages)

*Call for Workshops Papers:*


   - The 3rd International Workshop on Advances of GenAI in Software
   Engineering (GenAISE)
   - The 3rd International Workshop on Large Language Models for
   Cybersecurity (LLMCS)
   - The 3rd International Workshop on Prompt Engineering Large Language
   Models (PromptEng)
   - The 3rd International Workshop on Generative AI for Textual Document
   Analysis (GENAIDOC)
   - The 3rd International Workshop on Sustainable AI for Natural Language
   Processing (SusAI)
   - The 3rd International Symposium on Generative Artificial Intelligence
   (GenAI)
   - The 2nd International Symposium on Agentic Artificial Intelligence
   Systems (AAIS 2026)
   - The 2nd International Symposium on Retrieval Augmented Generation
   Systems (RAGS 2026)
   - The International Symposium on Federated Learning and Distributed
   Intelligence (FLDI 2026)
   - The International Symposium on Foundation Models for Multimodal Field
   Intelligence (FMMFI 2026)


All accepted papers will be published in the conference proceedings and
submitted to IEEE Xplore for publication.

*Journal Special Issue:*

Selected high quality papers will be invited for  special issue submission
at the *Information Processing & Management (impact factor : 8.1)*

https://www.sciencedirect.com/journal/information-processing-and-management

*Submissions Guidelines and Proceedings*

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format. All papers should be in PDF format, and submitted
electronically at Paper Submission Link. A full paper can be up to 8 pages
(including all figures, tables and references). Extra pages (up to 2 pages)
can be purchased for a fee. Submitted papers must present original
unpublished research that is not currently under review for any other
conference or journal. Papers not following these guidelines may be
rejected without review. Also submissions received after the due date,
exceeding length limit, or not appropriately structured may also not be
considered. Authors may contact the Program Chair for further information
or clarification. All submissions are peer-reviewed by at least three
reviewers. Accepted papers will appear in the FLLM Proceeding, and be
published by the IEEE Computer Society Conference Publishing Services and
be submitted to IEEE Xplore for inclusion. Submitted papers must include
original work, and must not be under consideration for another conference
or journal. Authors of accepted papers are expected to present their work
at the conference.

*Important Dates for Main Track:*

   - *Paper submission deadline: September 20, 2026*
   - Notification of acceptance:   October 10  , 2026
   - Camera-ready Submission: October 25, 2026

*Important Dates for Special Tracks and Workshops :*

   - *Paper submission deadline: October 1, 2026*
   - Notification of acceptance:   October 20  , 2026
   - Camera-ready Submission: October 30, 2026




*Contact:*

Please send any inquiry on FLLM to: <emergingtechnetwork at gmail.com> info@
fllm-conference.org
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From giovanni.iacca at unitn.it  Wed Sep 16 12:48:57 2026
From: giovanni.iacca at unitn.it (Giovanni Iacca)
Date: Wed, 16 Sep 2026 18:48:57 +0200
Subject: Connectionists: Call for PPSN 2028 host
Message-ID: <CAGi5g1qCUK-773cSqK7Kzqk_vuF9EcHzC2=OkCk12EwePmw2Dg@mail.gmail.com>

Dear research community,

We are seeking a host for the *20th International Conference on Parallel
Problem Solving From Nature (PPSN)*, which will be held in 2028.

PPSN is a biannual open forum fostering the study of natural models,
iterative optimization heuristics, machine learning, and other artificial
intelligence approaches. PPSN brings together researchers and practitioners
in the field of Natural Computing, the study of computing approaches that
are gleaned from natural models. We also welcome submissions on connections
between search heuristics and machine learning or other artificial
intelligence approaches. Submissions covering the entire spectrum of work,
ranging from rigorously derived mathematical results to carefully crafted
empirical studies, are invited.

Following PPSN's unique tradition, all accepted papers will be presented
during poster sessions and will be included in the proceedings. The
proceedings will be published in the prestigious Lecture Notes in Computer
Science (LNCS) series by Springer.

You may find more details on the websites of the past two editions of the
conference:

https://ppsn2024.fh-ooe.at/

https://ppsn2026.disi.unitn.it/

Informal inquiries can be addressed to Giovanni Iacca (
giovanni.iacca at unitn.it).

If you want to place your bid, please send an email to Giovanni Iacca (
giovanni.iacca at unitn.it), cc the PPSN Steering Committee (ppsnsc at inria.fr),
attaching a .txt file including the information requested in the proposal
template reported below. Note that not all information is needed during the
bidding phase, but the more details you can provide, the more informed the
decision of the PPSN Steering Committee will be. The Steering Committee
includes the organizers of the past five editions of the conference.

*Bids will be accepted until Nov 30, 2026.*

The final decision will be made tentatively by mid-January 2027.

Best regards,

Giovanni Iacca, Ph.D.
Associate Professor
Department of Information Engineering and Computer Science
University of Trento
Chair of the PPSN Steering Committee

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

              Proposal for Organizing PPSN-2028

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


1. Name(s) of Proposers:

   with address,

   telephone and fax (if any)

2. Contact E-mail address(es)



3. Web address(es):

4. Other available assistance:

   (from staff or students

   if available, how many in numbers)

5. Support from other organizations:

   (financial or otherwise, please state)

6. Proposed Dates:

7. Advantages with the proposed dates (Optional):

8. Location of the conference:

   (in a university facility, hotel, lab, etc.)

9. How to get there from a major airport?:

   (with approximate cost of travel and

   means of travel)

10. Proposed accommodation of participants and students:

   (with approximate cost per night)

11. Proximity of accommodation from conference venue:

12. Estimated registration fee:

    (including proceedings, refreshments, lunches etc.)

13. Estimated Budget for the conference:

    (a) Number of break-even attendees:

    (b) Back-up financial resource, if any:

14. (a) Any past experience in organizing a conference at the proposed

    site (provide organizers' names, conference titles and dates):

    (b) Any past experience in organizing any major international

    conference (provide organizers' names, conference titles, locations,
and dates):

    (c) How long have the proposers been associated with research

    and application in PPSN topics?

    (d) Experience with PPSN conferences as authors, tutorial presenters or
workshop organizers

    (e) Committee (initial proposal):

    (f) Program chairs (initial proposal):

15. Other attractions and arrangements proposed:

-------------------------------------------------------------------------
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From aidhwp1 at gmail.com  Thu Sep 17 08:48:51 2026
From: aidhwp1 at gmail.com (aidhwp)
Date: Thu, 17 Sep 2026 21:48:51 +0900
Subject: Connectionists: IEEE HITC Awards - Call for Nomination - 2026
Message-ID: <CADaqwyvA8Y1vtF+Djg-Mu2Xv-wErJU6YsZH=8sC99O=idA_BDw@mail.gmail.com>

Dear Colleagues,

Please accept our sincere apologies if you receive multiple copies of this
message.

The IEEE Technical Committee on Hyper-Intelligence (HITC) is a technical
committee within IEEE Systems Council, aimed at fostering research and
education in hyper-intelligent systems with applications. The IEEE
Technical Committee on Hyper-Intelligence (HITC) solicits nominations for
its 2026 awards. Each award includes a plaque presented at a selected IEEE
HITC sponsored conference, along with a public citation on the IEEE HITC
website. The committee solicits nominations of

- Early Career Researcher (ECR) Award (
https://hyper-intelligence.org/award-early.html)
- Middle Career Researcher (MCR) Award (
https://hyper-intelligence.org/award-middle.html)
- Technical Achievement Award (
https://hyper-intelligence.org/award-achievement.html)
- Outstanding PhD Dissertation Award (
https://hyper-intelligence.org/award-thesis.html)
- Industrial Impact Award (
https://hyper-intelligence.org/award-industrial.html)


-------------
Submissions:
Nominations must be submitted via email (as a single PDF file) to the Award
Selection Secretary, Xiaokang Zhou (zhou at kansai-u.ac.jp), and CC the
Committee Chair, Laurence T. Yang (ltyang at ieee.org). The subject of the
nomination email should be named as: HITC + Award Category + Nominee, e.g.
HITC-Early Career Award-Obama.

-------------
Important Dates:
- Nomination Deadline: September 25, 2026 (Extended)
- Results Notification: October 2, 2026 (Extended)

-------------
Award Selection Committee:
- Laurence T. Yang (Chair), Zhengzhou University, China (ltyang at ieee.org)
- Flavia C. Delicato, Fluminense Federal University, Brazil (
felipe at cos.ufrj.br)
- Bernady O. Apduhan, Kyushu Sangyo University, Japan (bob at is.kyusan-u.ac.jp
)
- Anna Kobusi?ska, Poznan University of Technology, Poland (
Anna.Kobusinska at cs.put.poznan.pl)
- Klimis Ntalianis, University of West Attica, Greece (kntal at image.ntua.gr)

-------------
Award Selection Secretary:
- Xiaokang Zhou, Kansai University, Japan (zhou at kansai-u.ac.jp)

-------------
Award & Presentation Note:
Awardees will be presented a plaque and will be recognized by IEEE HITC in
its website, newsletter and archives. The awards for 2026 will be presented
at AI for Science Congress 2026 (IEEE HITC sponsored conference) - Kuala
Lumpur, Malaysia, 27-30 December, 2026.


=============
IEEE HITC Award for Excellence for Early Career Researchers - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Early Career
Researchers) recognizes up to 5 individuals who have made outstanding,
influential, and potentially long-lasting contributions in the field of
hyper-intelligent systems. Typically, the candidates are within 5 years of
receiving their PhD degree as of January 01 of the year of the award.

-------------
Nominations:
A candidate may be nominated by members of the community. An individual may
nominate at most one candidate for this award. A nomination application (as
a single PDF file) should contain the following details:
? Name/email of person making the nomination (self-nominations are not
eligible).
? Name/email of candidate for whom the award is recommended.
? A statement by the nominator (maximum of 500 words) as to why the nominee
is highly deserving of the award both on excellence and in relation to IEEE
HITC.
? CV of the nominee.
? Up to three support letters from persons other than the nominator ? these
should be collected by the nominator and included in the nomination.
Members of selection committee cannot be nominators or referees.


=============
IEEE HITC Award for Excellence for Middle Career Researchers - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Middle Career
Researcher) recognizes up to 3 individuals who have made distinguished,
influential, and on-going yet towards long-lasting contributions in the
field of hyper-intelligent systems with applications. Typically, the
candidates are within 5 to 15 years of receiving their PhD degree as of
January 01 of the year of the award.

-------------
Nominations:
A candidate must be nominated by members of the community. A nomination
application (as a single PDF file) must consist of the following materials:
? Name/email of person making the nomination (self-nominations are not
eligible).
? Name/email of the nominee.
? A statement by the nominator (maximum of 500 words) as to why the nominee
is highly deserving of the award both on excellence and in relation to IEEE
HITC.
? CV of the nominee.
? Up to three support letters from persons other than the nominator-these
should be collected by the nominator and included in the nomination.


=============
IEEE HITC Award for Excellence for Technical Achievement - 2026

The IEEE HITC Award for Excellence in Hyper-Intelligence (Technical
Achievement) is awarded for significant and sustained contributions to the
hyper-intelligent systems community through the Technical Committee on
Hyper-Intelligence (HITC), coupled with an outstanding record of high
quality and high impact research. The award contains a plaque.

-------------
Nominations:
A candidate may be nominated by colleagues/HITC members or may nominate
him/her-self. An individual can nominate at most one candidate for this
award. The candidate must be an IEEE and HITC member in good standing. A
nomination application (as a single PDF file) should contain the following
details:
? Professional Employment Affiliations: List the nominee's current
professional affiliations and titles.
? Citation: Give a brief citation (thirty words or less) precisely stating
the most salient reason(s) why the nominee is qualified for the award.
? Technical Contributions: Describe the nominee's technical achievements in
scalable computing as well as significance and impact. (Max 2-page length)
? HITC Contribution: Describe the candidate?s service and specific
contributions to HITC. (Max 2-page length)
? Endorsers: Each nomination must be supported by letter from three at
least endorsers. An endorser can endorse only one candidate for this award.
The endorsers will be required to comment on the nominee's technical
contributions as well as service contributions to the HITC. The endorsement
letters should be included in the nomination package.


=============
IEEE HITC Outstanding PhD Dissertation Award - 2026

The IEEE HITC Outstanding PhD Dissertation Award is an annual award to
recognize candidates that have recently received a PhD degree for no more
than 2 years and have written an outstanding PhD dissertation in the field
of the hyper-intelligent systems with applications. This award is
established to encourage doctoral research that combines theory and
practice or makes in-depth technical contributions, having the potential to
contribute to the IEEE HITC.

-------------
Nominations:
A candidate may be nominated by members of the community. An individual may
nominate at most one candidate for this award. A nomination application (as
a single PDF file) must consist of the following materials:

? Name/email of person making the nomination (self-nominations are not
eligible).
? Name/email of candidate.
? A statement by the nominator (maximum of 500 words) as to why the nominee
is highly deserving of the award and a brief summary of the service
contributions.
? CV of the nominee.
? A doctoral dissertation written by the applicant in any language, no more
than 2 years prior to the submission deadline.
? A summary of the dissertation in English of up to 2 pages in length
written by the PhD candidate, highlighting the significance of the problem,
the technical approach taken, and the application context and potential.
? Sample published paper(s) in English based on the dissertation written
primarily by the PhD candidate in scientific journals, especially IEEE
Transactions/Journals.
? Listing of all publications by the applicant in the related field.
? A letter of recommendation from the applicant?s dissertation advisor that
assesses the significance of the research, attests to the originality of
the work, and comments on the engagement of the applicant in the HITC field.
? Up to three support letters from persons other than the nominator; these
should be collected by the nominator and included in the nomination.


=============
IEEE HITC Award for Excellence for Industrial Impact Award - 2026

The HITC Award for Excellence in Hyper-Intelligence (Industrial Impact
Award) recognizes up to 3 individuals or small companies who have made
distinguished, influential, and on-going yet towards long-lasting
contributions in the field of hyper-intelligent systems with applications.

-------------
Nominations:
A candidate must be nominated by members of the community. A nomination
application (as a single PDF file) must consist of the following materials:
? Name/email of person making the nomination (self-nominations are not
eligible).
? Name/email of the nominee.
? A statement by the nominator (maximum of 500 words) as to why the nominee
is highly deserving of the award both on excellence and in relation to IEEE
HITC.
? CV of the nominee or supporting materials of the company showing the
current impact/potential impact of the innovation (max 20-page length)
? Up to three support letters from persons other than the nominator-these
should be collected by the nominator and included in the nomination.
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From jbaimon at sandia.gov  Thu Sep 17 15:34:45 2026
From: jbaimon at sandia.gov (Aimone, Brad)
Date: Thu, 17 Sep 2026 19:34:45 +0000
Subject: Connectionists: 2027 NICE Conference in Brighton, UK April 6-8 2027
Message-ID: <SJ0PR09MB11849CE7EC78616B83D0D42B2D6B82@SJ0PR09MB11849.namprd09.prod.outlook.com>

NICE 2027 will be held 6th - 9th April in Brighton, United Kingdom.

The 2027 Neuro-Inspired Computing Elements (NICE) Conference is the 14th annual meeting of researchers in the neural computing, neuromorphic, and NeuroAI fields. Like previous editions, NICE 2027 will focus on the interplay between neural theory, neural algorithms, neuromorphic architectures and hardware, and applications for neural computing technology.

NICE aims to involve diverse participation from all over the world and bring together research communities with universities, government, and industry.

For venue details, agenda information and registration please see https://niceworkshop.org/nice-2027/

Submission Guidelines
Regular papers (4-8 pages, not including references, no supplemental material) will be due 11th November via https://easychair.org/cfp/nice2027.  Papers will be reviewed by the program committee on the basis of quality and clarity of the work (not length). Papers should cover unpublished work and emphasize the novel aspects and potential impact on the neural computing community. From these submissions we will invite several full talks (25 minutes), lightning talks (10 minutes), with the option to be published as an online proceedings volume (details below). An additional set of submissions will be invited for poster presentations, but may not be included in the proceedings.

The 2027 NICE proceedings will be published and indexed through IEEE Conference Proceedings this year.

Important Dates

  *   Regular Paper Due Date:  11th November 2026, Anywhere on Earth (AoE)
  *   Regular Paper/ Abstracts Decision Notification: 20th December 2026
  *   Late Breaking News Abstracts Due: 1st February 2027, AoE
  *   Late Breaking News Abstracts Decision Notification: 16th February 2027
  *   Camera Ready Papers Due: 9th March 2027 AoE
  *   Conference (Talks): 6th - 8th April 2027
  *   Conference (Tutorials): 9th April 2027

List of Topics
A full list of topics is in the Call for Papers (https://easychair.org/cfp/nice2027). NICE focus areas span the whole field of neuromorphic computing and theoretical neuroscience, including algorithm development, neurally inspired frameworks, hardware architectures, sensing technologies, software frameworks, and applications. During submission, please indicate which of the following topics your paper impacts.
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From khaled.shaalan at gmail.com  Thu Sep 17 22:45:49 2026
From: khaled.shaalan at gmail.com (Khaled Shaalan)
Date: Fri, 18 Sep 2026 06:45:49 +0400
Subject: Connectionists: =?utf-8?q?=5BCFP_Reminder=5D_ACLing_2026_?=
	=?utf-8?q?=E2=80=93_8th_International_Conference_on_AI_in_Computat?=
	=?utf-8?q?ional_Linguistics_=7C_Submission_Deadline=3A_1_October_2?=
	=?utf-8?q?026?=
Message-ID: <CAESFUpD6w_QQCiVoia5G58YZfw3bNJHDVNqyg7wJEh6GEotzMw@mail.gmail.com>

============================================================
ACLing 2026
8th International Conference on AI in Computational Linguistics
25?26 November 2026 | Multi-Site Hybrid Conference

Dubai, UAE ? The British University in Dubai (BUiD)
Jordan ? Jadara University
Virtual Participation Worldwide

Paper Submission Deadline: 1 October 2026

Publication: Procedia Computer Science by ELSEVIER
Conference Website: https://acling.org/
============================================================

CALL FOR PAPERS ? DEADLINE APPROACHING

The 8th International Conference on AI in Computational Linguistics
(ACLing 2026) invites researchers, academics, practitioners, and
industry professionals worldwide to submit original research
contributions in Artificial Intelligence (AI), Natural Language
Processing (NLP), Machine Learning (ML), and Computational
Linguistics.

The paper submission deadline is 1 October 2026.

ACLing 2026 will be held on 25?26 November 2026 as a Multi-Site
Hybrid Conference, connecting two physical conference hubs in
Dubai, UAE, and Jordan, with synchronous virtual participation
worldwide.

Authors may participate and present:

? In person at The British University in Dubai (BUiD), UAE
? In person at Jadara University, Jordan
? Virtually from anywhere in the world

Two Countries. Two Physical Hubs. One International Research Community.

============================================================
IMPORTANT DATES
============================================================

? Paper Submission Deadline: 1 October 2026
? Acceptance Notification: 20 October 2026
? Camera-Ready Submission: 30 October 2026
? Author Registration: 10 November 2026
? Conference: 25?26 November 2026

============================================================
PUBLICATION & INDEXING
============================================================

All accepted and presented papers will be published in Procedia
Computer Science (ISSN: 1877-0509) by ELSEVIER.

Peer-reviewed research articles published in Procedia Computer
Science are:

? Published Open Access on ScienceDirect
? Assigned a DOI
? Indexed in Scopus
? Ranked by SCImago Journal Rank (SJR)
? Covered by major scholarly indexing and abstracting services

Previous ACLing proceedings have also been catalogued in DBLP.

Previous ACLing proceedings published by Elsevier include ACLing
2017, ACLing 2018, ACLing 2021, ACLing 2024, and ACLing 2025.

============================================================
EXTENDED JOURNAL PUBLICATION OPPORTUNITY
============================================================

Authors of accepted ACLing 2026 papers will also have the opportunity
to prepare a substantially extended version of their conference paper
for submission to the MDPI journal Computation through the Special
Issue:

"Recent Advances on Computational Linguistics and Natural Language
Processing ? 2nd Edition"

Eligible ACLing authors will receive a special APC discount.

Extended submissions must meet the journal's originality requirements
and will undergo the journal's independent peer-review process.

Special Issue information:
https://www.mdpi.com/journal/computation/special_issues/844FZG56H7

============================================================
TOPICS OF INTEREST
============================================================

ACLing 2026 welcomes original research addressing theoretical
foundations, algorithms, architectures, resources, evaluation,
and practical applications in AI, NLP, and Computational Linguistics.

Topics include, but are not limited to:

? Large Language Models (LLMs): Architecture, Optimization, and Applications
? Generative AI and Emerging Language Technologies
? Retrieval-Augmented Generation (RAG) and Information Retrieval
? Conversational AI, Dialogue Systems, and AI Agents
? Advanced Information Retrieval and Question Answering
? Knowledge and Information Extraction
? Statistical and Neural Language Modeling
? Machine Translation and Cross-Lingual NLP
? Multilingual NLP, Code-Switching, and Low-Resource Languages
? AI for Resource-Poor and Endangered Languages
? Speech Technologies and Multimodal Language Interfaces
? Vision-Language Models and Multimodal AI
? Domain-Specific NLP: Legal, Biomedical, Scientific, and Educational
? Syntactic Analysis, Tagging, and Parsing
? Semantics, Pragmatics, and Commonsense Reasoning
? Emotion Recognition and Sentiment Analysis
? NLP for Social Media and Computational Social Science
? Text Summarization and Natural Language Generation
? Text Classification, Topic Modeling, and Document Understanding
? Text Mining and Large-Scale Knowledge Discovery
? Responsible, Ethical, and Interpretable AI
? Human-Centered NLP
? Benchmarking, Evaluation Metrics, and Explainability
? Prompt Engineering and Reinforcement Learning for NLP
? AI-Augmented Writing, Reading, and Translation Tools

Interdisciplinary contributions and innovative applications of AI
to language technologies are particularly encouraged.

============================================================
SUBMISSION & REVIEW
============================================================

ACLing 2026 welcomes original, unpublished work that is not currently
under review by another conference or journal.

Submitted papers will undergo peer review by experts in the field.

Paper length:

? Regular papers: 3?8 pages, including figures, tables, and references
? Extended papers: Up to 10 pages, subject to the applicable
  additional-page fee

At least one author of each accepted paper must present the paper for
inclusion in the conference proceedings.

Paper Submission:
https://easychair.org/conferences/?conf=acling2026

Submission Guidelines:
https://acling.org/submission/

============================================================
WHY ACLing 2026?
============================================================

ACLing provides an international forum for researchers working at the
rapidly evolving intersection of AI and language technologies.

ACLing 2026 offers:

? International research visibility
? Elsevier Procedia Computer Science publication
? Open-access publication on ScienceDirect
? Scopus-indexed proceedings
? Opportunities for international research collaboration
? Interaction with researchers in AI, NLP, ML, and Computational Linguistics
? Flexible physical and virtual presentation options
? Extended journal publication opportunity

============================================================
USEFUL LINKS
============================================================

Conference Website:
https://acling.org/

Call for Papers:
https://acling.org/call-for-papers/

Paper Submission:
https://easychair.org/conferences/?conf=acling2026

Submission Guidelines:
https://acling.org/submission/

Previous ACLing Proceedings:
https://dblp.org/db/conf/acling/index.html

============================================================
CONTACT
============================================================

General Inquiries:
ACLing2026 at gmail.com

Prof. Khaled Shaalan:
khaled.shaalan at buid.ac.ae

Prof. Samhaa R. El-Beltagy:
samhaa at computer.org

Dr. Taher M. Ghazal:
taher.ghazal at ieee.org

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

We warmly invite you to submit your research to ACLing 2026 and join
an international community advancing AI-powered language technologies.

Please feel free to circulate this Call for Papers among interested
colleagues, research groups, students, and professional networks.

We look forward to receiving your submissions and welcoming you to
ACLing 2026.

ACLing 2026
8th International Conference on AI in Computational Linguistics
25?26 November 2026
Dubai ? Jordan ? Worldwide Online

https://acling.org/
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From fzenke at gmail.com  Fri Sep 18 05:31:49 2026
From: fzenke at gmail.com (Friedemann Zenke)
Date: Fri, 18 Sep 2026 11:31:49 +0200
Subject: Connectionists: SNUFA 2026 abstract submission deadline in one week
	(Sept 25)
Message-ID: <ef9cbf53-1a31-4913-b7aa-3062b5096caa@gmail.com>

This is a quick reminder that the abstract submission deadline for SNUFA 
2026 is one week away: September 25, 2026 (anywhere on earth).

SNUFA 2026 takes place 4-5 November 2026 (online), with invited talks 
from Giulia D'Angelo (Czech Technical University in Prague), Eugene 
Izhikevich (Brain Corp and DeepSpike), Mihai Petrovici (University of 
Bern), and Susanne Schreiber (Humboldt University).

If you're planning to submit an abstract on spiking neural networks, 
learning algorithms, or the analysis of trained spiking circuits, now's 
the time-submission and registration are open at https://snufa.net/2026.

Looking forward to your submissions!

SNUFA 2026 is brought to you by Sacha van Albada, Jason Eshraghian, Dan 
Goodman, and Friedemann Zenke