The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn ...

Nvidia's (NVDA-0.28%) hardware made a name for itself in powering high-end video game graphics, but in recent years, the ...

Inside a fusion machine, the plasma can reach temperatures hotter than the Sun’s core ...

A body of healthcare AI research connects data infrastructure, machine learning, and natural language processing across medical applications. The studies examine automated data collection, cancer ...

In this age of neural net “AI”, even the most skeptical of Butlerians have to agree that these machine learning models can be ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in fusion reactors, but the ultra-high heat can damage its microscopic ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

A 14-year-old in the United States is combining machine learning and CRISPR to tackle one of biofuel's biggest challenges.

Artificial intelligence and machine learning projects require a lot of complex data, which presents a unique cybersecurity risk. Security experts are not always included in the algorithm development ...