Join us for the European edition of the annual Trillion Parameter Consortium gathering:
📍 LRZ Research Campus, Garching near Munich
📅 Tuesday, June 2 | 08:45 onwards
The European Chapter of the TPC invites you to an exclusive EuroTPC satellite event designed to connect Europe’s growing AI ecosystem through inspiring talks, strategic insights, and valuable networking.
Registration: https://tpc26.org/register-for-tpc26-lrz/
Read more: https://www.lrz.de/en/latest-news/events/detail/lrz-goes-tpc26
What are "hidden prompts"? And what risks come with collaborating through AI? Discover insights & recommendations in our revised Guidelines on Responsible Use of Generative AI in Research.
Stay tuned for more news on #AI4science!
➡️ http://link.europa.eu/3rvd6Y
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https://nitter.net/EUScienceInnov/status/2052684180056895979#m
LRZ goes TPC26 🚀
#TPC26 ist die Konferenz und Messe des Trillion Parameter Consortiums, auf der globale Kooperationen zwischen den KI-Forschungsbereichen der Industrie und des öffentlichen Sektors diskutiert und vorangetrieben werden.
Während die Hauptveranstaltung in Baltimore stattfindet, richtet das LRZ ein Satelliten-Event in Garching aus.
Mehr unter: https://www.lrz.de/aktuelles/events/detail/lrz-goes-tpc26

This article argues that the most important significance of the AI revolution, especially the rise of large language models, lies not simply in automation, but in a fundamental change in how complex information and human know-how are carried, replicated, and shared. From this perspective, AI for Science is especially important because it may transform not only the efficiency of research, but also the structure of scientific collaboration, discovery, publishing, and evaluation. The article outlines a gradual path from AI as a research tool to AI as a scientific collaborator, and discusses how AI is likely to fundamentally reshape scientific publication. It also argues that continuous learning and diversity of ideas are essential if AI is to play a meaningful role in original scientific discovery.
Is it AI "Hallucination" or "Intuition"? 🧠
Great discussions today on the Prime-Chaos discovery. The skepticism is valid: Python scripts prove the stats, but not the truth.
So, we are leveling up OpenSciEval.
🚀 Phase 2 Mission: Tasking the Agent to translate its heuristic derivation into Lean 4 code for formal verification.
If it compiles, the debate ends. Stay tuned.
Also consider following the authors Aniket Pramanick (Ubiquitous Knowledge Processing (UKP) Lab), Yufang Hou (IT:U- Interdisciplinary Transformation University Austria, IBM Research), Saif M Mohammad (National Research Council Canada / Conseil national de recherches Canada), and Iryna Gurevych (Ubiquitous Knowledge Processing (UKP) Lab).
🗺️ See you at #ACL2025 in Vienna
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