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 ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

Discover how space debris tracking technology, automated satellite collision avoidance systems, and active debris removal missions prevent Kessler syndrome and protect orbiting spacecraft.

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

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, ...

Here's the case for constraint-aware intelligence in the AI 2.0 era.

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Vision language models can help robots create effective automation in chaotic environments, augmenting human capabilities.

Allied Market Research published a report, titled, "Property Management Software Market by Solution (Rental and Tenant ...

Get the powerful combination of longevity, cloth load customization, and much more with the best-rated energy-efficient front ...

Running a warehouse in 2026 without automation is like trying to navigate a city without GPS. Sure, you'll eventually get ...

AI can help protein engineers optimize the transcription enzymes used to make mRNA-based vaccines and therapeutics, say the authors of a new study.