Munich Center for Machine Learning conducted joint work with Valentina Bosetti and Laura Diaz Anadon on applying causal machine learning to assess and improve cleantech policy design.
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🚀 New Comment in 𝐍𝐚𝐭𝐮𝐫𝐞 𝐄𝐧𝐞𝐫𝐠𝐲: Applying causal machine learning to assess and improve cleantech policy design 💡 𝐖𝐡𝐲 𝐜𝐚𝐮𝐬𝐚𝐥 𝐌𝐋? Climate policy i…
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Munich Center for Machine Learning
Making AI potential accessible for science, industry and society
- Industry
- Research Services
- Location
- München, DE
- Company size
- 51–200 employees
About Munich Center for Machine Learning
The Munich Center for Machine Learning is a joint research initiative of Ludwig-Maximilians-Universität München (LMU) and Technische Universität München (TUM). It is one of six nationwide AI centers in Germany to receive permanent funding as part of the German and Bavarian government's AI strategy. Our vision is to strengthen regional, national and international competence in AI and to make the corresponding potential accessible to users from science and industry.
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Research & Knowledge
Munich Center for Machine Learning updated its preprint comparing human-alone vs LLM+human diagnostic assistance and analyzed 42 clinical studies covering 101 effect sizes.
Research & Knowledge
Munich Center for Machine Learning published a new preprint analyzing 89,253 outputs from 12 LLMs in English, French, and Chinese across 18 occupations and three task conditions.
Research & Knowledge
Munich Center for Machine Learning PI Julia A. Schnabel develops AI models to detect medical imaging anomalies such as cancer metastases and cardiovascular problems.
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