The factories that process our food and beverages (newsflash: no, it doesn’t come straight from a farm) have to be kept very clean, or we’d all get very ill, to be blunt. Ensuring that usually entails ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...

Artificial intelligence and machine learning are increasingly used in cybersecurity to support threat detection, incident response, anomaly identification, ...

The German deeptech startup combines nanotechnology, optical sensing, biotechnology, and machine learning to cut dangerous ...

Using infrared light and machine learning, researchers have developed a method to effectively screen human health and its deviations at a population level. Envision a scenario where a single drop of ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

Sumsub has launched an upgrade to its deepfake detection product with instant online self-learning updates to address rapidly ...

Twitch has introduced a new tool designed to detect people who create new accounts to circumvent channel bans. Called ...

Investigators evaluated whether data collected from a fitness tracker could be used to accurately detect mood episodes in people with bipolar disorder. Study indicates that a fitness tracker can ...