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

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 ...

Integrated robotics platforms support STEM instruction, AI learning, smart logistics training, and advanced robotics ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

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

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

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

Researchers have discovered two new superconductors using a machine learning-based screening method, demonstrating a faster ...

A product designer share how embracing her inner "mad scientist" and experimenting with AI helped her land a job at Adobe, ...

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Most working professionals already understand that AI skills are no longer optional they are a career necessity.