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 ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

A biomimetic synapse built from water droplets and biological ion channels achieves synaptic plasticity and performs machine learning tasks.

How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much ...

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...

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 ...

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 ...

A multi-institutional team of researchers led by Virginia Tech’s Fralin Biomedical Research Institute has for the first time ...

A single clear image can rewire the visual brain, making later recognition faster without relying on memory systems.

TorchGeo is a Python package for integrating geospatial data into the PyTorch deep learning ecosystem, making it easy for machine learning and remote sensing experts to use geospatial data in their ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...