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.

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 ...

Additive manufacturing, such as 3D printing, provides an excellent opportunity to design metamaterials: materials with an ...

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 ...

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.

One of the biggest myths around artificial intelligence is that it can simply create a new medicine on its own. That is not ...

The infrastructure moment for AI-driven drug discovery continues to accelerate, with billion-dollar investments flowing into ...

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

A new active-inference account reframes attachment styles as calibrated models of the world—with consequences for how we ...

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.