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 ...

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

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

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

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

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 ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

It provides machine learning and other AI customers with an extensive software library to help with the deployment of their ...

Discover how an influx of artificial intelligence and machine learning will imbue RF/microwave design flows, traditionally ...

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

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