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8 March 2025
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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.
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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).
Archimedes and the Biomedical Research Foundation Share Latest Findings in AI and Medicine
4 March 2025
Archimedes and the Biomedical Research Foundation of the Academy of Athens successfully hosted a special collaborative session at the Panhellenic Working Group Seminars of the Hellenic Society of Cardiology. This session focused on innovative applications of artificial intelligence in medicine, with a particular emphasis on advancements in cardiology. Held on Friday, February 7, 2025, in Room MC2 of the Megaron Athens International Conference Centre, the event brought together leading experts to explore how artificial intelligence is transforming cardiovascular medicine.
Archimedes Reaches Milestone of 200 Publications
12 February 2025
Archimedes is proud to announce that its researchers have published over 200 scientific publications in top-tier conferences (NeurIPS, ICLR, ICML) and journals.Archimedes maintains a vibrant scientific community of over 130 researchers, including more than 60 senior researchers (faculty members from Greece and abroad), 12 postdoctoral fellows, and 55 PhD students, along with over 20 undergraduate interns from various disciplines.
Happy International Greek Language Day!
9 February 2025
Today, we celebrate the historical, cultural, and linguistic significance of the Greek language. While Standard Modern Greek often takes center stage, we at Archimedes - AI and Data Science Research Hub recognize the impressive diversity and great cultural significance of its numerous dialects. These dialects present both exciting opportunities and complex challenges for AI and Large Language Models (LLMs) because each one of them presents unique linguistic features and all of them are low resourced. That’s why we’re using cutting-edge AI to document, digitize, and analyze these invaluable linguistic treasures, ensuring their preservation and accessibility for generations to come.
Two Research Positions in Data Stream Management Systems & Big Data Management
7 February 2025
We are pleased to announce the availability of two research positions in data stream management systems and big data management, to be co-supervised by Assistant Professor Odysseas Papapetrou from the Eindhoven University of Technology (TU/e) in the Netherlands and Professor Minos Garofalakis from the Technical University of Crete in Greece.
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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