Apple's machine learning researchers have worked on myriad ways to improve Apple Intelligence and other generative AI systems, as its research papers accepted by a major AI conference demonstrate. The ...
To date, the main role of AI in scientific research has been to assist with narrow tasks such as discovering chemical structures, analyzing data or predicting protein shapes. But now, the technology ...
Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...
Ronit Chaodhary, a 21-year-old undergraduate at Newton School of Technology, co-authored the paper “RETROSPECT: ...
The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology’s biggest challenges: predicting the 3D shape of proteins ...
Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
The complexities and intricacies of quantum mechanics can lead to many complicated interactions, even in highly controlled ultracold experiments. Therefore, protocols developed to accomplish a certain ...
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