Jian Jiang's team at the Institute of Chemistry, Chinese Academy of Sciences, recently published an article that focuses on the core bottlenecks of ...

Behind every powerful AI model lies a world of mathematics—linear algebra, calculus, probability, and more—that makes it all work. Understanding these concepts bridges the gap between theory and ...

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...

TradeSmith has unveiled an AI-powered trading system that claims to identify high-probability trade signals across thousands of stocks, boasting a 54% compounded annual return in backtests from 2020 ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

Forecasting company Amperon has launched a new AI-based short-term probabilistic forecasting tool for solar and wind ...

As Anthropic’s Mythos signals a shift to unprecedented machine-speed vulnerability discovery, EPSS is gaining renewed ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung ...

An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Abstract: Precise probabilistic forecasts are fundamental for energy risk management, and there is a wide range of both statistical and machine learning models for this purpose. Inherent to these ...