Machine learning and physics merge to enhance liquid-gas phase transition predictions
Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...
Less supervision, better results: Study shows AI models generalize more effectively on their own
Training LLMs and VLMs through reinforcement learning delivers better results than using hand-crafted examples.
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Machine learning tool predicts cancer treatment response based on genetic mutations
A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...
UC San Diego Today1d
UC San Diego’s Machine Learning Initiative Aims to Advance AI Systems
The MLSys Initiative is led by a group of researchers at the intersection of machine learning and systems at UC San Diego’s Halıcıoğlu Data Science Institute (HDSI), within the School of Computing, ...
A wealth of evidence: Machine learning approach leads to a 'living systematic map' of climate policy research
Research on climate policy is growing exponentially. Of the approximately 85,000 individual studies ever published on policy ...