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Artificial Intelligence
 
Data Science
 
Algorithms

[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)
Seminar 04 07 24
 
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

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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

 
New Publication by Archimedes Lead Researcher John Pavlopoulos

New Publication by Archimedes Lead Researcher John Pavlopoulos

5 September 2025

A new paper co-authored by John Pavlopoulos from Archimedes Research Unit at the Athena Research Center, Kanella K. Pouliand Maria Gavriilidou from the Institute for Language and Speech Processing (ILSP) at the Athena Research Center, and Juli Bakagianni from the Department of Informatics of the Athens University of Economics & Business (AUEB) has been accepted for publication at Patterns journal.

Archimedes Workshop on Dialect NLP

Archimedes Workshop on Dialect NLP

25 August 2025

Upcoming workshop on Dialect NLP on “Standardization and Variation for Dialect Varieties with Universal Dependencies as an Application Framework” coming up. We are excited to announce that the Dialect NLP team at Archimedes, Athena Research Center, Greece, is organizing a workshop in collaboration with the MaiNLP Research Lab at Ludwig Maximilian University (LMU) of Munich.

More news items here
 
 

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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