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

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

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...

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.

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 ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Artificial intelligence models, like Google DeepMind, are revolutionizing hurricane forecasting with increased speed and accuracy. Despite its success, some experts refer to the AI model as a "black ...

Abstract: Improving software quality by proactively detecting potential defects during development is a major goal of software engineering. Software defect prediction plays a central role in achieving ...

eLuminous Technologies developed a scalable, ML-powered price prediction platform for a Texas-based industrial equipment trading company. Using Python, web scraping, and advanced algorithms, the ...

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving particles behave when they interact with electromagnetic waves in space.

Multi-agent systems, designed to handle long-horizon tasks like software engineering or cybersecurity triaging, can generate up to 15 times the token volume of standard chats — threatening their ...