What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

The deeptech ecosystem has breathed a sigh of relief after the RDI scheme got approved, but behind closed doors, VCs and ...

AI & automation are revolutionizing materials discovery, enabling faster, and more sustainable breakthroughs across scientific fields.

The RFI marks a pivotal step toward what could become a broader embrace of commercial screening solutions throughout the ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

Two darkly amusing graphic novels for kids pit machine learning and rocket science against good old-fashioned humanity.

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

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

We are excited to share our first big milestone in solving a grand challenge that has hampered the predictive power of computational chemistry, biochemistry, and materials science for decades. By ...

Through the years, machine learning (ML) has been used to attack PUFs by modeling them and accurately predicting their response to a given challenge. This stimulated research on ML-resilient PUFs.

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...