DeepMind's AI has made remarkable progress in mathematical reasoning within a span of just one year.  After earning a silver ...

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

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

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the extreme precision required and the hundreds of steps involved, such as ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

Developed by a Microsoft team of density functional theorists and deep-learning experts, Skala could be the first machine-learned density functional to compete with existing functionals for wide use ...

This article reviews the foundations and applications of machine learning force fields (MLFFs) in electrochemistry, highlighting their role as a transformative tool in materials science. We first ...

Dan Zabrotski is the 24-year-old co-founder and CEO of Speekl, an online language learning platform that connects students with tutors through smart technology.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

The bill sets aside money for schools to better identify learning difficulties among the state’s youngest students.

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal ...

Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...