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 ...
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MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...
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 ...
The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...
Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
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 ...
National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...
The Center for American Progress’ data dashboard allows users to explore national- and state-level data trends on a range of child care and early learning topics. Read more and explore additional ...
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