[Archimedes Talks Series] The Imperative for Open Source Frontier AI

Short Bios:

Emmanouil (Manos) Koukoumidis is the CEO of Oumi PBC focusing on democratizing foundation model research and development. He had previously led the science and engineering for Google Cloud’s Natural Language Services while also bootstrapping and leading the Google Cloud GenAI (PaLM/Gemini) efforts across a 300+ v-team covering model quality, Responsible AI, and all related infrastructure from inception all the way to General Availability. He has been working on GenAI systems since 2016 at Microsoft and then Meta. He holds a PhD from Princeton University where he set the early foundations for edge AI and a Diploma from the National Technical University of Athens. His research career includes positions at MIT, Microsoft Research, SMART (Singapore) and CERN. His research has been featured in top-tier conferences, journals and news articles receiving a Best Paper Award and other distinctions with over 4,000 citations.

Oussama Elachqar is a Member of Technical Staff at Oumi PBC, where he’s focusing on democratizing foundation model research and development. He holds an M.Sc. from the Georgia Institute of Technology, and a Diplôme d'Ingénieur from INP-ENSEEIHT. Prior to Oumi, he led the vertical foundation model efforts for Healthcare at Apple, working all across the stack from pre-training, post-training, safety and performance optimizations. His expertise in generative AI systems spans nearly a decade, and his career includes leadership roles in Machine Learning at Microsoft, AI2 and Twitter, where he successfully delivered large-scale AI research projects to production. He specializes in scaling deep learning model training across HPC clusters and brings extensive experience in enterprise-scale AI deployment.

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Archimedes Talk by Manos Athanassoulis on "Harnessing the Untapped Benefits of Near-Sortedness for Data Systems"

14 October 2025

On Tuesday 21 October, 2025, from 1:00 pm to 2:00 pm, at the Archimedes Amphitheatre (1 Artemidos Street, 15125, Marousi, Archimedes, Athena Research Center, Greece), Professor Manos Athanassoulis, Associate Professor of Computer Science at Boston University (BU), USA, Director and Founder of the BU Data-intensive Systems and Computing Laboratory, BU, USA, and Co-Director of the BU Massive Data Algorithms and Systems Group, BU, USA, will deliver an Archimedes talk on "Harnessing the Untapped Benefits of Near-Sortedness for Data Systems."

GameSec 2025 just Around the Corner!

9 October 2025

The 16th Conference on Game Theory and AI for Security (GameSec25), an event strongly supported by Archimedes, Athena Research Center, Greece will take place at the National Technical University of Athens, Greece from October 13-15 2025. "With the rapid advancement of artificial intelligence, game theory, and security technologies, the resilience and trustworthiness of modern systems is more critical than ever. The 2025 Conference on Game Theory and AI for Security focuses on leveraging strategic decision-making, adversarial reasoning, and computational intelligence to address security challenges in complex and dynamic environments.

11 Papers Accepted at NeurIPS 2025!

7 October 2025

We are happy to announce that 11 papers from Archimedes, Athena Research Center, Greece, have been accepted at the Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)!NeurIPS is a major annual event in the artificial intelligence and machine learning community and this year it will take place from December 2 to December 7 at the San Diego Convention Center, California, USA.

Archimedes Postdoc will Conduct a Tutorial at the International Conference on Microelectronics 2025

6 October 2025

Vassilis Alimisis, a postdoctoral researcher at Archimedes, Athena Research Center, Greece, will deliver a tutorial on "Low-Power Analog Hardware Classifier Architecture for ML Applications: From A to Z" at the International Conference on Microelectronics (ICM 2025), taking place on 14-17 December, 2025, in Cairo, Egypt.Abstract: This tutorial provides a comprehensive introduction to the design and implementation of low-power analog hardware classifiers tailored for machine learning (ML) applications, with a focus on energy-constrained environments such as edge devices and biomedical wearables. With the growing need for fast, efficient, and real-time data processing, analog computing has re-emerged as a promising solution that enables in-memory computation and significantly reduces power consumption compared to conventional digital processors.

Archimedes Flagship Project in Cardiology and AI is Featured in the News!

30 September 2025

Archimedes Research Unit of the Athena Research Center, Greece, is featured in a recent article in Dnews. This article is about an Archimedes flagship project in cardiology and AI that aims to use "two-dimensional echocardiographic data to develop deep learning tools and improve the treatment of heart problems."This project will be developed in collaboration with the Onassis Cardiac Surgery Center and the Archimedes Research Unit of the Athena Research Center, Greece. The Onassis Cardiac Surgery Center will contribute cardiac data and medical expertise, while the Archimedes Research Unit will set up a team of researchers who will develop advanced techniques and AI models that will address specific cardiological issues.

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[Archimedes Talks Series] The Imperative for Open Source Frontier AI - Oumi’s Platform & Strategy.