Home  | News

12.01.2026

Teaser image to MCML PI Alexander Fraser Featured on Breaking Data Podcast

MCML PI Alexander Fraser Featured on Breaking Data Podcast

Discussing AI, Language Diversity, and Low-Resource Languages

MCML PI Alexander Fraser was featured as a guest on an episode of the Breaking Data podcast, where he discussed the importance of integrating low-resource and minority languages into AI models. In conversation with host Nico Litzel, Fraser talked about machine translation in niche domains, intellectual property challenges, and the societal benefits of chatbots for low-resource languages.

#media #research #fraser
Subscribe to RSS News feed

Related

Link to From Global to Regional Explanations: Understanding Models More Locally

22.01.2026

From Global to Regional Explanations: Understanding Models More Locally

JMLR research shows how subgroup-specific explanations reveal hidden patterns that global model explanations often miss.

Link to MCML PI Matthias Nießner Featured in WirtschaftsWoche on Spaitial AI

20.01.2026

MCML PI Matthias Nießner Featured in WirtschaftsWoche on Spaitial AI

MCML PI Matthias Nießner featured in WirtschaftsWoche for Spaitial AI, creating realistic 3D models of rooms and interiors in seconds.

Link to MCML at AAAI 2026

19.01.2026

MCML at AAAI 2026

MCML researchers are represented with 11 papers at AAAI 2026 (8 Main, and 3 Workshops).

Link to MCML PI Frauke Kreuter Featured on ARD alpha on AI

19.01.2026

MCML PI Frauke Kreuter Featured on ARD Alpha on AI

MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.

Link to Blind Matching – Aligning Images and Text Without Training or Labels

15.01.2026

Blind Matching – Aligning Images and Text Without Training or Labels

CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.

Back to Top