The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...
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 ...
Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization studio built for multimodal time-series with full provenance you can replay “dFL ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.
Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...
Is the scientific method really the best approach to learning about the world? A new paper in Collective Intelligence applies the scientific method to itself, finding that some common strategies that ...
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