Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

A powerful new software tool that can accurately predict the performance of biofilters used by the water industry could ...

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

Growing global demand for sustainable agriculture is driving scientists to find smarter ways to handle livestock waste. A new ...

Surya is the first foundation model for heliophysics, built by a team of heliophysicists and machine learning experts. It learns from solar images, magnetic field data, and velocity measurements to ...

Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to ...

A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

A new artificial intelligence-powered tool can help researchers determine how well an enzyme fits with a desired target, ...

In a significant step toward improving road safety, Johns Hopkins University researchers have developed an AI-based tool that ...

The global chemical industry produces hundreds of long, repeating molecular chains called polymers. Only a handful comprise ...