By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...
Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.
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