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 ...

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

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 ...

Medicine has always operated as an “evidence based” field, meaning that it generally pursues experimentation to gather ...

The world's first arena for predictive intelligence, Forge is a live environment where machine learning models compete on real-world problems and improve together, built on the thesis that the future ...

An update to the markets of Jonathan David has led experts to update predictions and odds for the Canada-Morocco Round of 16 match on Saturday, July 4, 2026.

A new study reveals that dual-atom catalysts behave in a fundamentally different way than scientists previously thought, challenging a long-standing model used to predict catalytic performance.

Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some and turning deadly disease into a manageable chronic condition in others.

Finland has hunkered down on its strengths in health, quantum and maths to nurture an industrial recovery that has been ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

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

By Norihiko Shirouzu July 1 (Reuters) - Autonomous-driving startup Wayve is riding a tide of investor interest. The ...