Traditionally, drug discovery relied heavily on trial and error, with long timelines and high costs. The introduction of ...

A new leap in lab automation is shaking up how scientists discover materials. By switching from slow, traditional methods to ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Learn how AI and machine learning enhance antibody discovery – from structure prediction to binding optimization – with ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

What methods can be developed to reduce carbon emissions in urban environments? This is what a recent study published in ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI Co-Innovation Lab.

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology (AIST), Tohoku University, and Kyoto Institute of Technology, the National ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...