Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...

Understanding the core principles of computer programming is the first step to writing effective code. Learning about ...

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

Here's an interesting fact: companies that rely on data to make their decisions are more likely to achieve better results.

An unusual new school has opened in China, designed to train humanoid robots to perform a wide range of tasks—from working in ...

When scientists test algorithms that sort or classify data they often turn to a trusted tool called Normalized Mutual ...

It’s possible that AI could give materials discovery a much-needed jolt and usher in a new age that brings superconductors ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing performance through AI integration.

This response seeks to clarify important issues related to the technical and political development of Socialism AI.

Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still ...