Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Alex Chen's adaptive execution framework, using reinforcement learning, cuts trading costs and improves market visibility.

As workers remain concerned about AI replacing jobs, employers are simultaneously creating remote jobs for workers who know ...

Airbnb says the "anti-party system" it deploys ahead of major holiday weekends flags bookings with characteristics indicating ...

I didn’t even realize that those were questions you could ask,” he says, “and then that there were philosophical disciplines ...

ICML 2026 opens in Seoul on July 6 with a record 23,918 submissions — more than double last year — and a research program ...

Within a $5 million laboratory on the University of Idaho’s Coeur d’Alene campus, a host of intelligent robots wait for their next command.

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Build real-world automation skills using ChatGPT, machine learning concepts, and practical workflow strategies.

Scientists have demonstrated a powerful new way to search for one of physics' biggest prizes: practical superconductors.