In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

A Stanford study reveals how AI hiring tools can pass bias audits while still discriminating by race and role Most companies ...

A novel machine learning algorithm retrieves remote sensing reflectance (Rrs) from Himawari 8 geostationary data at 10 minute ...

The approach is known for high accuracy, but scaling it up while preserving that accuracy is technically difficult. Helios ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

"Broadcast radio remains one of the most powerful promotional tools in media. But power without precision is wasteful. If ...

In a laboratory in Broomfield, Colorado, 98 atoms are suspended in mid-air, held in place by electric fields and cooled to temperatures close to ...

Abstract: Large graph networks frequently appear in the latest applications. Their graph structures are very large, and the interaction among the vertices makes it difficult to split the structures ...

Speech recognition accuracy benchmarks report low error rates while leaving the most critical words wrong. Researchers now ...

Plus: How TikTok users gauge credibility, and good news about the viability of a shift away from commercial journalism.

Abstract: A computational problem that arises frequently in computer vision is that of estimating the parameters of a model from data that have been contaminated by noise and outliers. More generally, ...