16.07.2026
Gitta Kutyniok Featured in Heise on Energy-Efficient AI
Exploring the Potential of Neuromorphic Chips
MCML PI Gitta Kutyniok is featured in a recent Heise article exploring how neuromorphic chips could help reduce the energy consumption of artificial intelligence. The article examines how new computing architectures inspired by the human brain could make AI applications more efficient.
Kutyniok discusses the mathematical and computational foundations behind efficient AI and the potential of neuromorphic approaches. The article highlights how combining advances in AI algorithms and specialized hardware could help address the growing energy demands of modern AI systems.
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09.11.2026
Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models
A paper co-authored by MCML PI Valentin Hofmann on accent bias in audio language models won an Outstanding Paper Award at EMNLP 2026.
06.11.2026
Best Thesis Award for Sohir Maskey
Former MCML Junior Member Sohir Maskey received the Best Thesis Award of the DFG Priority Programme 2298 for his PhD on graph neural networks.
