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

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 ...

MIT researchers say they have found a more efficient way to train machine learning models that predict how complex metal alloys will behave.

The Forecast 2026 project pits soccer fans against AI and statistical models to see who predicts the 2026 World Cup match ...

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 ...

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 ...

In February, the AFL announced the most significant change to the Brownlow Medal voting process since 1978, when the umpiring team first awarded the 3-2-1 votes as a group, rather than separately ...

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.

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 ...

Liftoff Mobile (LFTO) is rated a buy, leveraging its dual demand-supply platform and Cortex engine to outperform the mobile ...

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