Events

Lunch Talk: Dr. Mina Jamshidi "Rethinking Explainability in Digital Pathology: Beyond Heatmaps"

Join us for the next Lunch Talk on 13 May. This time, Mina Jamshidi from the Machine Learning Group will talk about "Rethinking Explainability in Digital Pathology: Beyond Heatmaps". In her talk Mina will present a research program that consolidates explainable AI in computational pathology by moving beyond fragmented attention heatmaps toward systematic validation, biologically meaningful prognostic signals, and symbolic rule-based reasoning — reframing xAI as a rigorous, quantitative interface between data-driven models and biological insight.

Making Compliance a First-Class Systems Problem in Data Management

As data management moves from isolated databases to geo-distributed and federated ecosystems, compliance has become a central systems challenge. Modern regulations, such as GDPR and CCPA, and governance requirements do not simply determine whether data access is allowed; they constrain how data is moved, disclosed, discovered, shared, and integrated across parties.

idalab Seminar, Kay Brosien, x-cardiac

Europe wants AI in healthcare, but is the regulatory system ready? Kay Brosien (COO, x-cardiac) shares lessons from certifying one of Europe's first adaptive AI devices under MDR.

The EU AI Act in Practice: How is the Implementation Going?

“Don’t ask what the AI Act can do for you, ask what you can do for the AI Act.” This talk offers a short introduction to the Artificial Intelligence Act (AI Act), outlining its core objectives, risk-based structure, and fundamental rights safeguards.

Leibnizpreis-Lecture

Join us for the Leibnizpreis-Lecture with Prof. Dr. Klaus-Robert Müller, 2026 Leibniz Prize laureate and Co-director of BIFOLD, who will share insights from his groundbreaking research in machine learning and explainable AI.

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. 

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.