The world's most critical challenges are accelerating at a rapid pace. The R&D methods tasked with solving them are not—until ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Anemia in young adult women is rarely caused by a single factor. Instead, it reflects a layered interaction of nutritional deficiencies, physiological demands, chronic illnesses, genetic ...

From limited, task-specific automation to sophisticated Cognitive Intelligence Platforms (CIPs), artificial intelligence has undergone tremendous ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

Today, most investment firms use AI to assist human managers, providing data or suggestions for them to act on. BAILA represents a new category of AI-Managed Investing, where the AI makes the ...

Stanford University is offering an online graduate course Artificial Intelligence: Principles and Techniques to provide students with complete knowledge of curr ...

That’s the job of generative engine optimization (GEO) — and in 2026, it’s no longer optional. This guide shows you how to build, execute, and measure a GEO strategy that actually works. What is GEO — ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Press releases in 2026 serve a broader purpose than announcement distribution...When structured correctly, they ...