Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

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

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 ...

Using machine learning, researchers mapped a 250-kilometer earthquake cluster along the Yakutat slab edge, revealing ...

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

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

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

More than 20 faculty members and several students from across academic disciplines attended a two-day training workshop on June 4–5 to learn how AI machine-learning skills can assist with their ...

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

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

There's no shortage of valuable equipment and machines in the gym, but once you settle into a familiar routine, you'll likely find yourself less likely to try out other machines. But switching up your ...

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