Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some ...

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 ...

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

Detecting infectious disease threats early and responding quickly can dramatically alter the course of an infectious outbreak.

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

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 ...

High-Luminosity LHC upgrade work has begun at CERN after the Large Hadron Collider logged its final collision on June 27, 2026, entering a four-year, $1.5 billion Long Shutdown 3 program to replace 1.

In 2026, prediction systems are evolving less because of changes in user behavior and more because of improvements in the technology underneath them. Better data pipelines, faster computing, and more ...

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.