Events

Wie „denken“ ChatGPT & Co.? Ein Blick hinter die Kulissen. (LNDW 2026)

How do ChatGPT & Co. actually "think"? Join us as we pull back the curtain on large language models. No prior knowledge needed. Discover how AI juggles probabilities, makes things up, and how smart prompting steers it. Held in German.

Science Slam "Garbage in - Garbage out" (LNDW 2026)

At LNDW 2026, BIFOLD teams up with some of its Berlin AI Square partners (Fraunhofer Heinrich Hertz Institute HHI and Physikalisch-Technische Bundesanstalt, PTB) for a Science Slam all about Artificial Intelligence. The slam will be held in German.

Ceremonial Event to celebrate Prof. Dr. Manfred Opper

On the occasion of the 70th birthday of Prof. Dr. Manfred Opper, Professor Emeritus at TU Berlin, SFB 1294 at the University of Potsdam and BIFOLD cordially invite you to a joint celebratory event.

HIDA Lecture: Agentic AI - Safe Autonomous Agents

Toward the end of 2025, autonomous AI agents made significant leaps in capability. Smarter coding agents, a growing ecosystem of integrations exposed as skills and Model Context Protocol (MCP) servers, and projects like OpenClaw have demonstrated how these components can be combined into self-evolving AI systems. 

Explanation-Aware Attacks and the Limits of using XAI

Modern (deep) learning methods used to lack understandable reasoning in their decision process, making crucial decisions less trustworthy. The research field of "Explainable AI" (XAI) has turned the tables, though, enabling precise relevance attribution of input features for otherwise opaque models.

07/2026 BIFOLD Colloquium

Gustavo Alonso, full professor at the Department of Computer Science at ETH Zürich, will talk about the role that data streaming plays in architecture and system design, especially in the context of heterogeneous architectures.

Molecular Simulation in the Age of Artificial Intelligence

Machine learning and deep neural networks boost the efficiency of ab-initio molecular dynamics simulations, making possible first-principles predictions where previously only simplified semiempirical models could be used. Two examples at vastly different physical scales will be employed to illustrate the concept.

Cedalion Workshop

This scientific workshop introduces researchers to Cedalion, a Python-based toolbox for advanced fNIRS and DOT analysis in naturalistic settings. Built on HOMER3 and AtlasViewer, it integrates machine learning and multimodal data processing for cutting-edge neuroimaging research.