Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...

Learn how AI-driven personalization transforms customer loyalty. Explore predictive modeling and data strategies for ...

AI is reshaping the efficiency of fast fashion, but experts warn it may also perpetuate overconsumption and pollution.

Machine learning, a type of artificial intelligence, has many applications in science, from finding gravitational lenses in the distant universe to predicting virus evolution. Hubble Space Telescope ...

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 ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...