Home  | News

07.01.2025

Teaser image to Angela Dai is Advancing Automotive Design with Artificial Intelligence

Angela Dai Is Advancing Automotive Design With Artificial Intelligence

TUM News

Our PI, Angela Dai, focuses on the application of artificial intelligence to design and optimize complex systems. Her research contributes to the development of AI technologies that enable faster and more efficient designs in the automotive industry. By using advanced algorithms, her work helps reduce development costs and enhance the sustainability of products.

«Our dataset can be used as an extensive library in order to generate new designs quickly with the aid of AI models with the goal of designing more fuel efficient cars in the future or improving the range of electric vehicles.»


Angela Dai

MCML PI

#research #dai
Subscribe to RSS News feed

Related

Link to "See, Don’t Assume": Revealing and Reducing Gender Bias in AI

18.12.2025

"See, Don’t Assume": Revealing and Reducing Gender Bias in AI

ICLR 2025 research led by Zeynep Akata’s team reveals and reduces gender bias in popular vision-language AI models.

Link to Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine

16.12.2025

Fabian Theis Featured in Handelsblatt on the Future of AI in Precision Medicine

MCML PI Fabian Theis discusses AI-driven precision medicine and its growing impact on individualized healthcare and biomedical research.

Link to Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics

16.12.2025

Gitta Kutyniok Featured in VDI Nachrichten on AI Ethics

Gitta Kutyniok discusses measurable criteria for ethical AI, promoting safe and responsible autonomous decision-making.

Link to Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

16.12.2025

Hinrich Schütze Featured in WirtschaftsWoche on Innovative AI Approaches

Hinrich Schütze discusses Giotto.ai’s efficient AI models, highlighting memory separation and context-aware decoding to improve robustness.

Link to Xiaoxiang Zhu Featured in Focus Online on Global 3D Building Atlas

16.12.2025

Xiaoxiang Zhu Featured in Focus Online on Global 3D Building Atlas

Xiaoxiang Zhu maps 2.75B buildings in 3D, revealing global urbanization, housing, and social inequalities using AI.

Back to Top