greece
Algorithms
Data Science
Artificial Intelligence
Με ιδιαίτερη χαρά σας προσκαλούμε σε σειρά διαλέξεων με θέμα Algorithmic Aspects of Clustering, που θα δώσει ο Βάγγος Χατζηαφράτης, Assistant Professor στο University of California in Santa Cruz και συνεργαζόμενος ερευνητής στον Αρχιμήδη.
Οι διαλέξεις θα γίνουν την τρέχουσα και την ερχόμενη εβδομάδα στο κτήριο του Αρχιμήδη (Αρτέμιδος 1, Μαρούσι), σύμφωνα με το παρακάτω πρόγραμμα:
— 1η διάλεξη: Πέμπτη 5 Σεπτεμβρίου, ώρες 13:00 - 16:00
— 2η διάλεξη: Παρασκευή 6 Σεπτεμβρίου, ώρες 13:00 - 16:00
— 3η διάλεξη: Τρίτη 10 Σεπτεμβρίου, ώρες 13:00 - 16:00
— 4η διάλεξη: Πέμπτη 12 Σεπτεμβρίου, ώρες 13:00 - 15:00
Τα θέματα που θα καλυφθούν στις διαλέξεις περιλαμβάνουν:
— Hierarchical Clustering: Algorithms and Hardness
— Connections to Graph Partitioning and bottom-up methods
— Semidefinite Programming & Applications to Graph Partitioning and Clustering
— Beyond Worst Case Analyses
— Contrastive Embeddings
— Open Problems in the area
Οι διαλέξεις σκοπεύουν να καλύψουν κάποια βασική ύλη για clustering and hierarchical clustering with optimization techniques, metric embeddings and non-metric embeddings, και να παρουσιάσουν κάποια σημαντικά, παλαιότερα και νεότερα, ανοικτά προβλήματα στην περιοχή.
Short Bio:
Vaggos Chatziafratis is an Assistant Professor of Computer Science & Engineering at the University of California in Santa Cruz, where he is part of the Theoretical Computer Science group. His research lies at the intersection of approximation algorithms and machine learning, focusing on the design and analysis of approximation algorithms/hardness for clustering problems, and on understanding neural networks through the lens of dynamical systems. Vaggos completed his MS and PhD at Stanford University in the Computer Science Department, where he was advised by Tim Roughgarden and Moses Charikar. Before Stanford, he finished with a Diploma from the ECE department of the National Technical University of Athens. Before joining UC Santa Cruz, he did a postdoc at Google Research under Vahab Mirrokni and Mohammad Mahdian. He also did a postdoc at Northwestern under Konstantin Makarychev, Aravindan Vijayaraghavan and Samir Khuller. Vaggos is the recipient of a FODSI postdoc fellowship at MIT (under Piotr Indyk) and Northeastern. His research at UCSC has been supported by a Hellman Fellowship.
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To position Greece as a leading player in AI and Data Science
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).
The Archimedes Unit of the Athena Research Center, Greece is pleased to announce a new series of experientialworkshops on Artificial Intelligence (AI) and Natural Language, focusing on their contribution to and interaction with linguistic sciences.
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 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.
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.
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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