Artificial Intelligence
Data Science
Algorithms
archimedes-Artificial Intelligence, Data Science, Algorithms-greece
greece
Algorithms
Data Science
Artificial Intelligence
[Archimedes Seminar Series] Towards next-generation AI with neuro-inspired computing by Angeliki Pantazi (IBM)
Dates
2024-07-04 16:00 - 17:00
Venue
Artemidos 1 - Amphitheater
ArchimedesSeminar Series - Towards next-generation AI with neuro-inspired computing
Dr. Angeliki Pantazi (IBM Research – Zurich)
Abstract
The recent advances in AI show that models only remotely inspired by biology can achieve impressive results on human-like tasks. These AI capabilities are achieved using the latest generations of Large Language Models (LLMs), enabled by their powerful transformer architecture. However, the operational principles of these systems have little similarity to the substantially more evolved network designs that the brain employs. Contrary to humans, the AI models operate with enormous energy and area consumption and their learning mechanism requires a large amount of data for training. A computational model inspired by the principles and mechanisms of biological systems is likely to provide more efficient innovative AI solutions due to its inherent conception idea. For example, the sparse neural activity, the neural coding strategies, the efficient neuronal dynamics, and the local plasticity mechanisms are potential key enablers for the astounding energy efficiency of the brain that can be integrated in AI systems. In this talk, I will provide an overview of our research on neuro-inspired models and learning algorithms that aim to address the sustainability concerns of current AI models. I will also showcase the efficiency of neuro-inspired computing concepts in several AI applications. Finally, I will present how neuro-inspired models could further leverage the acceleration provided by analog AI hardware.
Short Bio
Angeliki Pantazi is a Principal Research Staff Member and a Research Manager at the IBM Research – Zurich. She received her Diploma and Ph.D. degrees in Electrical Engineering and Computer Technology from the University of Patras, Greece. Since 2006, she is a Research Staff Member in IBM Research – Zurich, where she has contributed to several projects in the area of data storage systems. Currently, she leads the research on neuro-inspired computing in the Emerging Computing and Circuits group. She was named IBM Master Inventor in 2014 and became a senior member of the IEEE in 2015 and a Fellow of IFAC in 2019. She was a co-recipient of the 2009 IEEE Control Systems Technology Award, the 2009 IEEE Transactions on Control Systems Technology Outstanding Paper Award and the 2014 IFAC Industrial Achievement Award. In 2017, she received an IBM Corporate Award and the IEEE Control Systems Society Transition to Practice Award. She has published over 100 refereed articles and holds over 50 granted patents.
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Vision
To position Greece as a leading player in AI and Data Science
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).
Christos Papadimitriou Speaks on “Artificial Intelligence: its History, its Present, and its Uncertain Future”
24 March 2026
Christos Papadimitriou, Donovan Family Professor of Computer Science at Columbia Engineering at Columbia University, USA, and Principal Scientist at the Archimedes Research Unit of the Athena Research Center, Greece, spoke about “Artificial Intelligence: its History, its Present, and its Uncertain Future” during the ten-year anniversary event of diaNEOsis think tank, which took place on March 11, 2026, at the Stavros Niarchos Foundation Cultural Center (SNFCC).
Vasia Papanikou to Present the MIMOSA Fairness Exploration Tool at EDBT/ICDT 2026 Joint Conference
24 March 2026
Vasia Papanikou, a PhD student at the University of Ioannina and an Academic fellow at Archimedes, Athena Research Center, Greece, will be demonstrating "MIMOSA: A Tool for Fairness Exploration Through Explanations" at the 29th International Conference on Extending Database Technology (EDBT/ICDT 2026), taking place from March 24–27, 2026, at Tampere, Finland.
Archimedes Academic Fellow Andreas Lolos Presents Research at WACV 2026
16 March 2026
Archimedes Academic Fellow and a third-year PhD student at the National and Kapodistrian University of Athens in Greece, Andreas Lolos recently travelled to Tucson in Arizona, USA, and presented the paper "SGPMIL: Sparse Gaussian Process Multiple Instance Learning" at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2026).
6 Accepted Papers at ICLR 2026
11 March 2026
The Archimedes research unit of the Athena Research Center in Greece has six papers accepted at this year's International Conference on Learning Representations (ICLR) gathering, including one oral presentation. The acceptance rate for posters was about 25,8% and about 1,1% for oral presentations. Please bear in mind that ICLR, along with NeurIPS and ICML, is considered one of the three top-tier artificial intelligence and machine learning conferences in the world.
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.
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