Call for Papers – ICCCS 2023, March 03-04, 2023, India

December 6th, 2022 Daniela Lopez de Luise
Dear Researchers,
Greetings of the day! 

We are pleased to announce that the 8th International Conference on Computing, Communication, and Security (ICCCS – 2023) (www.icccs-conf.in/2023) is an annual international event that will be held in Punjab, India this year during March 03-04, 2023. We are requesting you submit the original, unpublished papers, and not submitted concurrently for publication elsewhere; at the conference. All the accepted and presented papers will be submitted for inclusion in Springer in their Communications in Computer and Information Science (CCIS) series. 
Please visit for details: www.icccs-conf.in/2023/cfp.php

* IMPORTANT DATES:
  •      Paper Submission: December 31, 2022 
  •      Notification of Acceptance: January 10, 2023 
  •      Camera-Ready Paper Submission: January 31, 2023 
  •      Date of the Conference: March 03-04, 2023

Papers are invited on all topics related to the following tracks:
  • TRACK 1: Computing, Communication & Networking
  • TRACK 2: Big Data Analytics, Data Mining, Machine Learning & AI
  • TRACK 3: IoT & Smart City
  • TRACK 4: VLSI Design, Antenna, Microwave Theory, and Applications
  • TRACK 5: Privacy, Trust & Information Security
  • TRACK 6: e-Learning, e-Commerce, E-Society & e-Governance
  • TRACK 7: Blockchain and Distributed Ledger
  • TRACK 8: Underwater Networks and Systems
  • TRACK 9: Augmented Reality, Virtual Reality, and Simulations
  • TRACK 10: Human Behaviour Understanding


Contact:
Phone: +91-8193098151

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DEADLINE EXTENDED (7 December 2022): 5th AccML Workshop at HiPEAC 2023

December 6th, 2022 Daniela Lopez de Luise

==================================================================
5th Workshop on Accelerated Machine Learning (AccML)

Co-located with the HiPEAC 2023 Conference
(https://www.hipeac.net/2023/toulouse/)

January 18, 2023
Toulouse, France
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Call for Participation: “All things Attention- Bridging different perspectives on attention”

December 6th, 2022 Daniela Lopez de Luise
On behalf of the co-organizers, we would like to invite you to attend (in-person or virtually) our NeurIPS workshop on “All things Attention: Bridging Different Perspectives on Attention”. The details of the workshop follow:

The Thirty Sixth Conference on Neural Information Processing Systems (NeurIPS)

Dec 2, 2022

https://attention-learning-workshop.github.io/

When: Dec 2, 2022 9AM – 6PM (local time, UTC-06:00) 

Where: Room 399 (in-person) or (virtually) https://neurips.cc/virtual/2022/workshop/49996 (requires NeurIPS registration)

WORKSHOP DETAILS

The All Things Attention workshop aims to foster connections across disparate academic communities that conceptualize “Attention” such as Neuroscience, Psychology, Machine Learning, and Human-Computer Interaction. Workshop topics of interest include (but are not limited to):

  1. Relationships between biological and artificial attention

    1. What are the connections between different forms of attention in the human brain and present deep neural network architectures? 

    2. Can the anatomy of human attention models provide useful insights to researchers designing architectures for artificial systems? 

    3. Given the same task and learning objective, do machines learn attention mechanisms that are different from humans? 

  1. Attention for reinforcement learning and decision making

    1. How have reinforcement learning agents leveraged attention in decision making?

    2. Do decision-making agents today have implicit or explicit formalisms of attention?

    3. How can AI agents build notions of attention without explicitly baked in notions of attention?

    4. Can attention significantly enable AI agents to scale e.g. through gains in sample efficiency, and generalization?

  2. Benefits and formulation of attention mechanisms for continual / lifelong learning

    1. How can continual learning agents optimize for retention of knowledge for tasks that it already learned? 

    2. How can the amount of interference between different inputs be controlled via attention? 

    3. How does the executive control of attention evolve with learning in humans? 

    4. How can we study the development of attentional systems in infancy and childhood to better understand how attention can be learned?

  3. Attention as a tool for interpretation and explanation

    1. How have researchers leveraged attention as a visualization tool?

    2. What are the common approaches when using attention as a tool for interpretability in AI? 

    3. What are the major bottlenecks and common pitfalls in leveraging attention as a key tool for explaining the decisions of AI agents?

    4. How can we do better?

  4. The role of attention in human-computer interaction and human-robot interaction

    1. How do we detect aspects of human attention during interactions, from sensing to processing to representations?   

    2. What systems benefit from human attention modeling, and how do they use these models?

    3. How can systems influence a user’s attention, and what systems benefit from this capability?

    4. How can a system communicate or simulate its own attention (humanlike or algorithmic) in an interaction, and to what benefit?

    5. How do attention models affect different applications, like collaboration or assistance, in different domains, like autonomous vehicles and driver assistance systems, learning from demonstration, joint attention in collaborative tasks, social interaction, etc.?

    6. How should researchers thinking about attention in different biological and computational fields organize the collection of human gaze data sets, modeling gaze behaviors, and utilizing gaze information in various applications for knowledge transfer and cross-pollination of ideas?

  5. Attention mechanisms in Deep Neural Network (DNN) architectures

    1. How does attention in DNN such as transformers relate to existing formalisms of attention in cogsci/psychology? 

    2. Do we have a concrete understanding of how and if self-attention in transformers contributes to its vast success in recent models such as GPT2, GPT3, DALLE.? 

    3. Can our understanding of attention from other fields inform the progress we have achieved in recent breakthroughs?

CONFIRMED SPEAKERS & PANELISTS

Speakers:

Pieter Roelfsema (Netherlands Institute for Neuroscience)

James Whittington (University of Oxford)

Ida Momennejad (Microsoft Research)

Erin Grant (UC Berkeley)

Henny Admoni (Carnegie Mellon University)

Tobias Gerstenberg (Stanford University)

Vidhya Navalpakkam (Google Research)

Shalini De Mello (NVIDIA)

Panelists:

David Ha (Google Brain)

Pieter Roelfsema (Netherlands Institute for Neuroscience)

James Whittington (University of Oxford)

Ida Momennejad (Microsoft Research)

Henny Admoni (Carnegie Mellon University)

Tobias Gerstenberg (Stanford University)

Shalini De Mello (NVIDIA)

Vidhya Navalpakkam (Google Research)

Erin Grant (UC Berkeley)

Ramakrishna Vedantam (Meta AI Research)

Megan deBettencourt (University of Chicago)

Cyril Zhang (Microsoft Research)

ORGANIZERS

Akanksha Saran (Microsoft Research, NYC)

Khimya Khetarpal (McGill University, Mila Montreal)

Reuben Aronson (Carnegie Mellon University)

Abhijat Biswas (Carnegie Mellon University)

Ruohan Zhang (Stanford University)

Grace Lindsay (University College London, New York University)

Scott Neikum (University of Texas at Austin, University of Massachusetts)

CONTACT

Please reach out to us at attention-workshop@googlegroups.com  if you have any questions. We look forward to receiving your submissions!

Kind Regards,

Workshop Organizers

All things Attention- Bridging different perspectives on attention

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Live e-Lecture by Prof. Ioannis Pitas: “Social Impact of AI Science and Engineering: Information Filtering and Disinformation”, Thursday 8th December 2022, 17:00-18:00 CET (8:00-9:00 PST), (10:00-11:00 CST)

December 6th, 2022 Daniela Lopez de Luise

Dear AI enthusiast/scientist/engineer/student,

 

Prof. Ioannis Pitas, a prominent AI researcher internationally (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, chair of the International AI Doctoral Academy), will deliver the e-lecture: 

“Social Impact of AI Science and Engineering: Information Filtering and Disinformation“, Thursday 8th December 2022, 17:00-18:00 CET (8:00-9:00 PST), (10:00-11:00 CST)

 

You can join for free without registration using the zoom link: https://authgr.zoom.us/j/94255772113 Passcode: 867064

 

Attendance is free.

 

Abstract: Our world is increasingly complex, in terms of both its material components (e.g., smart cities, infrastructure) and its social processes (e.g., social media outreach). Both individual humans and entire societies find it difficult to cope with world complexity.   For example, humans that are overexposed to a 24/7 information deluge through their mobile phones tend to develop the so-called Generalized OnLine Affect and Cognition (GOLAC) disorder. Its impact has not been studied sufficiently well. It can be devastating to minors and vulnerable people. It forms a good substate for conspiracy theories and disinformation.

 

Artificial Intelligence (AI) in general, and Machine Learning in particular, is our reply to world complexity. It allows us to handle a data flood, analyze data to produce information and use it not only to survive, but also to excel.  AI Science and Engineering enable social engineering, allowing us to devise social processes that change our society.

Information filtering is a prime example of social engineering. It encompasses many social processes: a) web search, b) recommendation systems for online product and service marketing, b) online match-making and c) news editing and broadcasting. Though they can have a very positive societal impact, they can also have adverse effects, if poorly implemented. For example, they can result in massive private data theft and use to fuel corporate profits.

 

Lack of information filtering can look like a heaven for freedom of speech.  Yet the opposite frequently happens in social media environments.  Irrationalism, cult culture, anti-intellectualism and anti-elitism pre-existed social media.  However, social media have unique characteristics (small world phenomenon, rich-get-richer phenomenon, GOLAC disorder) that boost such tendencies and fuel disinformation. Sentimental and conspiratorial speech propagates like wildfire. Why? Social media company policies favor such voices as they ensure user engagement (and their profits through marketing). The end result is that minority voices highjack the web and disinformation flourishes.  AI does provide tools, e.g., for deep fake news creation, that can be misused to fuel disinformation and threaten democratic societies. What is the way forward to defend democracy?

 

This lecture addresses several important questions on the interface between technology and society:

 

  • Why our world becomes ever more complex?
  • Can we cope with world complexity?
  • What is the relation between freedom of speech and information filtering?
  • What is the psychological background of on-line cults and conspiracy theories?
  • Why negative views propagate faster?
  • What is the relation of irrationalism, and anti-elitism, to social media disinformation?
  • How can we valorize our private data?

 

All the above issues are addressed in the new 1050+ page book “Artificial Intelligence Science and Society” consisting of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner:

  1. “Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology“

https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860

  1. “Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans“

https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860

  1. “Artificial Intelligence Science and Society Part C: AI Science and Society“

https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860

  1. “Artificial Intelligence Science and Society Part D: AI Science and the Environment“

https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860

 

About the Lecturer: This lecture and book are a result of a two-year effort by Prof. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). Prof. I. Pitas is Director of the Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 34500+ citations to his work and h-index 87+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022).

 

This lecture is part of the SIG Icarus “AI days” lectures offered by the AIIA Computer Vision and Machine Learning (AIIA.CVML) R&D group of the  Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). 

 

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

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Call for Papers for Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) Workshop at HRI 2023

December 6th, 2022 Daniela Lopez de Luise

CALL FOR PAPERS

The 6th International Workshop on Virtual, Augmented, and Mixed Reality
for Human-Robot Interaction (VAM-HRI)


Affiliated with HRI 2023
================
ROLLING SUBMISSIONS:

Due to the early registration deadline for HRI being January 20th, we have
implemented rolling submissions with updated deadlines. Make sure to

submit by Jan 17th if you want notification by January 20, 2023 UTC-12 

before the HRI 2023 early registration deadline.

Final submissions will close February 18, 2023 UTC-12.

WORKSHOP DATE:
March 13, 2023

WEBSITE:
https://vam-hri.github.io/
================

The 6th International Workshop on Virtual, Augmented, and Mixed Reality
for Human-Robot Interaction (VAM-HRI) will bring together HRI, robotics,
and mixed reality researchers to address challenges in mixed reality
interactions between humans and robots in a hybrid workshop format,

allowing for participation both in-person and remotely. VAM-HRI 2023 

will follow on the success of VAM-HRI 2018-22 and advance the cause of this

nascent research community.

VAM-HRI 2023 welcomes contributions on topics including but NOT

limited to:


– AR-based intent communication
– AR-based behavior explanation
– Social/Socially Assistive applications of VAM-HRI
– AR/VR for robot testing and diagnostics
– AR/VR for robot learning
– VR for HRI human-subject experimentation
– Mixed-reality language grounding
– AR-augmented natural language generation
– AR-enabled robot control
– AR/VR for safety around robots
– Architectures for AR/VR-based HRI
– Computational modeling within AR/VR-based HRI
– AR/VR for expanding social interactions
– VAM-HRI research in the time of COVID-19
– Social and ethical implications of VAM for HRI

VAM-HRI accepts submissions of length from 2-8 pages presenting
current or proposed work. Papers posted online without prior peer review
(e.g., already posted on ArXiv as a preprint but not already accepted into
another venue) can be submitted. References do not count towards
total page count. A submission link will be provided on the workshop
website: https://vam-hri.github.io/

All accepted papers will be accompanied by talks and/or poster presentations
and will be archived on the workshop website.

Organizing Team
Maciej Wozniak | KTH Stockholm
Bryce Ikeda | University of North Carolina at Chapel Hill
Eric Rosen | Brown University
Matthew B. Luebbers | University of Colorado Boulder
Michael E. Walker | University of North Carolina at Chapel Hill
Christine T. Chang | University of Colorado Boulder
Thomas Groechel | University of Southern California

Steering Committee
Andre Pereira | KTH Stockholm
Jivko Sinapov | Tufts University
Stefanie Tellex | Brown University

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