The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...

A new analysis of seismic “families” reveals that some large earthquakes may be preceded by hidden patterns in clustering, ...

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...

When people think about geological faults, they usually think about earthquakes. Yet faults do not move only during ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Refik Anadol discusses memory, machine intelligence and Dataland, the Los Angeles museum devoted to AI art and human-machine ...

Elon Musk claimed that Tesla’s unsupervised “Full Self-Driving” will be “widespread in the US by the end of this year” during a virtual appearance at the Smart Mobility Summit in Tel Aviv today. Tesla ...

The identification of exoplanets within habitable zones remains a central objective in modern astrophysics, particularly with the availability of large-scale photometric datasets from space-based ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...