Artificial Intelligence
Data Science
Algorithms
archimedes-Artificial Intelligence, Data Science, Algorithms-greece
greece
Algorithms
Data Science
Artificial Intelligence
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.
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.
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.
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.
________________________________________________________________________________
Microsoft Teams meeting
Join on your computer, mobile app or room device
Click here to join the meeting________________________________________________________________________________
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.
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)