SportsLine AI evaluated the Super Bowl 60 odds and revealed its NFL score predictions and best NFL picks today for Seahawks ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

Q4 2025 earnings call recap: record revenue/EBITDA, 2026 guidance, share buybacks, and Predictions strategy risks.

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

New analysis explains why Prosper’s macro forecasts often signal economic shifts weeks or months before prediction ...