archimedes-Artificial Intelligence, Data Science, Algorithms-greece

 
Artificial Intelligence
 
Data Science
 
Algorithms

ARCHIMEDES Seminar Series - Gerhard Weikum

Dates
2024-01-11 11:00 - 12:00
Venue
Microsoft Teams Meeting

 

 

Archimedes Seminar Series

Με μεγάλη χαρά σας προσκαλούμε στη σειρά ομιλιών Archimedes Seminar Series που διεξάγονται στο αμφιθέατρο της Μονάδας Αρχιμήδης. Η σειρά αυτή θα φιλοξενεί διεθνούς φήμης ερευνητές που δραστηριοποιούνται σε θέματα Τεχνητής Νοημοσύνης, Επιστήμης Δεδομένων και Αλγόριθμων.

Η πρώτη ομιλία θα διεξαχθεί στις 11 Ιανουαρίου 2024, 11:00πμ, με ομιλητή τον Gerhard Weikum – λεπτομέρειες της ομιλίας ακολουθούν. Η ομιλία θα μεταδοθεί και διαδικτυακά μέσω του συνδέσμου που φαίνεται εδώ.

 


Knowledge Graphs in the Age of Large Language Models

Gerhard Weikum (Max Planck Institute for Informatics, Saarbruecken, Germany)

Abstract
Large knowledge graphs (KG's) have become a key asset for search engines and other use cases. They are partly based on automatically extracting structured information from web contents and other texts, using a variety of pattern-matching and machine-learning methods. The semantically organized machine knowledge can be harnessed to better interpret text in news, social media and web tables, contributing to question answering, natural language processing (NLP) and data analytics.
 
A recent trend that has revolutionized NLP is to capture knowledge latently by billions of parameters of language models (LM's), learned at scale from huge text collections in a largely self-supervised manner. These pre-trained models form the basis of fine-tuning machine-learning solutions for tasks that involve both input texts and broad world knowledge, such as question answering, commonsense reasoning and human-computer conversations.
 
This talk identifies major gaps in the coverage of today's KG's, and discusses potential roles of large language models towards narrowing thee gaps and constructing the next KG generation.

Short Biography
Gerhard Weikum is a Scientific Director at the Max Planck Institute for Informatics in Saarbruecken, Germany, and an Adjunct Professor at Saarland University. He co-authored a comprehensive textbook on transactional systems, received the VLDB Test-of-Time Award 2002 for his work on automatic database tuning, and is one of the creators of the YAGO knowledge base which was recognized by the WWW Test-of-Time Award in 2018. Weikum is an ACM Fellow and elected member of various academies. He received the ACM SIGMOD Contributions Award in 2011, a Google Focused Research Award in 2011, an ERC Synergy Grant in 2014, the ACM SIGMOD Edgar F. Codd Innovations Award in 2016, and the Konrad Zuse Medal in 2021.

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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

 
11 Papers Accepted at NeurIPS 2025!

11 Papers Accepted at NeurIPS 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)!

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

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

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."

Best Paper Award at FAIEMA 202

Best Paper Award at FAIEMA 202

Vasileios Moustakas, PhD student at the School of Electrical and Computer Engineering - NTUA and Academic Fellow at Archimedes, Athena Research Center, Greece, Konstantinos Cheliotis and Anna Mylona, both MEng students at the School of Electrical and Computer Engineering - NTUA and interns at Archimedes, Athena Research Center, Vassilis Alimisis, Postdoctoral Researcher at Archimedes, Athena Research Center, and Paul Sotiriadis, Lead Researcher at Archimedes, Athena Research Center, and a Professor at the School of Electrical and Computer Engineering - NTUA, received the Best Paper Award (PhD Symposium) at the

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Nature Communications Publication on Advanced AI in Biological Research by Giorgos Papanastasiou

Giorgos Papanastasiou, Lead Researcher at the Archimedes Research Unit of the Athena Research Center, Greece,and Faculty Research Fellow at Edinburgh Imaging, at the University of Edinburgh, the Queen’s Medical Research Institute, Edinburgh, UK, has co-published a Nature Communications paper on "Clinical implications of bone marrow adiposity identified by phenome-wide association and Mendelian randomization in the UK Biobank."Prof. Papanastasiou mentions that "this project is a strong testament to the power of augmenting biological research with advanced AI and data science methods."

 
 

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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