A novel machine learning algorithm has potential to improve detection and treatment of individuals with familial ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Overview: Learning Python in 2025 needs just a laptop, internet, and these open-source resourcesLearners can build logic, ...

When done right, AI can make your company faster, sharper and more responsive to what your customers need—often before they ...

In 1960, Andrey Kolmogorov posed a seemingly impossible challenge at a seminar at Moscow State University: could there be a ...

So long as there's sufficient overlap in the model's vocabularies, the rate at which the draft model's predictions are ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...