Prof. Dr. Veniamin Morgenshtern

Maschinelles Lernen in der Bild- und Signalverarbeitung:
- Konvexe Optimierung und Sparsity
- Theorie und Anwendungen von Deep Learning
- Teilüberwachtes maschinelles Lernen
Anwendungen:
- Super-auflösende Mikroskopie und Radar
- Bilderkennung für autonom fahrende Autos
- Ultra-zuverlässige Bildverarbeitung für mikrofluidische medizinische Systeme

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Fast and efficient diagnoses through artificial intelligence 27. April 2021

The mechanical properties of cells can reveal which diseases a patient is suffering from. Researchers at the Max-Planck-Zentrum für Physik und Medizin in Erlangen are taking advantage of this effect – and revolutionising diagnostics. Their goal: instead of costly examining blood samples in the laboratory, doctors should be able to...

Increasing expertise in healthcare thanks to artificial intelligence 26. February 2021

How should an intelligent assistance system be designed so that as many people as possible use it to improve their health on a daily basis? The collaborative project ‘Erweiterte Gesundheitsintelligenz für persönliche Verhaltensstrategien im Alltag’ (Eghi) (Advanced intelligence in healthcare for personal behavioural strategies in everyday life) which has now...

Using AI to solve crime 12. February 2021

Franziska Schirrmacher, doctoral candidate at FAU’s Chair of IT Security Infrastructures, develops methods of finding digital traces in image or video files that can subsequently be used to solve crime. In recognition of her research, Schirrmacher has been shortlisted for the AI newcomer of the year award by the German...

Prof. Alexander Martin appointed member of Bavarian AI Council 20. January 2021

The Bavarian AI Council was created by Bavarian Minister President Dr. Markus Söder and introduced during the constituent meeting on 22 December 2020. As outstanding researchers with significant research and entrepreneurial expertise, the aims of the appointed members of the Council are to encourage networking within the AI community in...