archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

[Archimedes Talks Series] Cognitively motivated deep neural representations and architectures

Dates
2024-10-15 12:00 - 14:00
Venue
Artemidos 1 - Amphitheater
Title: Cognitively motivated deep neural representations and architectures 

Speaker: Assoc. Prof. Alexandros Potamianos  (NTUA, USC)


Abstract: Despite tremendous progress in artificial intelligence we continue to lag behind human capabilities in crucial areas such as generalization, robustness and efficiency - hallmarks of human cognition. This talk proposes a paradigm shift towards cognitively-motivated representations that explicitly incorporate macroscopic cognitive principles such as low-dimensionality, hierarchy, abstraction, neural feedback and sparsity. First, we argue that traditional metric spaces and linear tools are poorly suited for efficient information storage and processing, contrasting sharply with the brain's more effective organizational strategies. We show that a top-down hierarchical manifold representation of low-dimensional, sparse subspaces can achieve human-like performance in both decoding and induction tasks, particularly in lexical semantics. Next we explore the role of feedback mechanisms in the brain, especially feedback-driven deactivation of cortical columns, and present our work on MMLatch, a bottom-up top-down fusion model applied to multimodal sentiment analysis. This research highlights the importance of bidirectional information flow in neural architectures. Finally, we discuss a novel neural network architecture inspired by synaptic pruning during brain development. This approach utilizes long connections instead of traditional short residual connections, naturally pushing information to the first few layers of the network and resulting in sparsity. These networks exhibit behaviors reminiscent of biological brain networks, including enhanced robustness to noise, good performance  in low-data settings, and longer training times. Overall, our work demonstrates that by embracing cognitively-motivated principles in AI architectural design, we can create more efficient, robust, and human-like AI systems capable of improved generalization and induction. 

Bio: Alexandros Potamianos received the Diploma in electrical and computer engineering from the National Technical University of Athens, Greece, in 1990, and the M.S. and Ph.D. degrees in engineering sciences from Harvard University, Cambridge, MA, in 1991 and 1995, respectively. From 1995 to 1999, he was a Senior Technical Staff Member with AT&T Shannon Labs, Florham Park, NJ. From 1999 to 2002, he was a Technical Staff Member and Technical Supervisor with Bell Labs, Lucent Technologies, Murray Hill, NJ. From 2003 to 2013, he served as an associate professor at the Department of ECE, Technical University of Crete, Chania, Greece. Since 2013, he serves as an associate professor at the School of ECE, National Technical University of Athens, Greece. He is also a visiting professor at the Viterbi School of Engineering, University of Southern California, CA and an Amazon Scholar. He is the co-founder of Behavioral Signals, an emotion AI deep tech startup.  He has authored or coauthored over 200 papers in professional journals and conferences, and holds five patents. His current research interests include foundation models. speech processing, dialog and multimodal systems, natural language understanding, machine learning and multimodal child-computer interaction. Prof. Potamianos has served multiple terms at the IEEE Speech and Language Technical Committee and at the IEEE Multimedia Technical Committee. He received a 2005 IEEE Signal Processing Society Best Paper Award. He is an IEEE fellow, an International Speech Communication Association (ISCA) fellow and a fellow of the Asia-Pacific Artificial Intelligence Association (AAIA). 

________________________________________________________________________________
Microsoft Teams Need help?
Meeting ID: 338 882 842 320
Passcode: Vsw5aV

For organizers: Meeting options
________________________________________________________________________________
 
 

Vision

To position Greece as a leading player in AI and Data Science

image
image

Mission

To build an AI Excellence Hub in Greece where the international research community can connect, groundbreaking ideas can thrive, and the next generation of scientists emerges, shaping a brighter future for Greece and the world

 

Welcome to ARCHIMEDES, a vibrant research hub connecting the global AI and Data Science research community fostering groundbreaking research in Greece and beyond. Its dedicated core team, comprising lead researchers, affiliated researchers, Post-Docs, PhDs and interns, is committed to advancing basic and applied research in Artificial Intelligence and its supporting disciplines, including Algorithms, Statistics, Learning Theory, and Game Theory organized around 8 core research areas. By collaborating with Greek and Foreign Universities and Research Institutes, ARCHIMEDES disseminates its research findings fostering knowledge exchange and providing enriching opportunities for students. Leveraging AI to address real-world challenges, ARCHIMEDES promotes innovation within the Greek ecosystem and extends its societal impact. Established in January 2022, as a research unit of the Athena Research Center with support from the Committee Greece 2021, ARCHIMEDES is funded for its first four years by the EU Recovery and Resilience Facility (RRF).

 
 

NEWS

 
Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine

Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine

Archimedes and the Biomedical Research Foundation of the Academy of Athens successfully hosted a special collaborative session at the Panhellenic Working Group Seminars of the Hellenic Society of Cardiology. This session focused on innovative applications of artificial intelligence in medicine, with a particular emphasis on advancements in cardiology. Held on Friday, February 7, 2025, in Room MC2 of the Megaron Athens International Conference Centre, the event brought together leading experts to explore how artificial intelligence is transforming cardiovascular medicine.

Archimedes Reaches Milestone of 200 Publications

Archimedes Reaches Milestone of 200 Publications

Archimedes is proud to announce that its researchers have published over 200 scientific publications in top-tier conferences (NeurIPS, ICLR, ICML) and journals.Archimedes maintains a vibrant scientific community of over 130 researchers, including more than 60 senior researchers (faculty members from Greece and abroad), 12 postdoctoral fellows, and 55 PhD students, along with over 20 undergraduate interns from various disciplines.

Happy International Greek Language Day!

Happy International Greek Language Day!

Today, we celebrate the historical, cultural, and linguistic significance of the Greek language. While Standard Modern Greek often takes center stage, we at Archimedes - AI and Data Science Research Hub recognize the impressive diversity and great cultural significance of its numerous dialects. These dialects present both exciting opportunities and complex challenges for AI and Large Language Models (LLMs) because each one of them presents unique linguistic features and all of them are low resourced. That’s why we’re using cutting-edge AI to document, digitize, and analyze these invaluable linguistic treasures, ensuring their preservation and accessibility for generations to come.

Two Research Positions in Data Stream Management Systems & Big Data Management

Two Research Positions in Data Stream Management Systems & Big Data Management

We are pleased to announce the availability of two research positions in data stream management systems and big data management, to be co-supervised by Assistant Professor Odysseas Papapetrou from the Eindhoven University of Technology (TU/e) in the Netherlands and Professor Minos Garofalakis from the Technical University of Crete in Greece.

 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

greece2.0 eu_arch_logo_en

 

Stay connected! Subscribe to our mailing list by emailing sympa@lists.athenarc.gr
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)