ZS stock plunges 38% in six months, but strong revenue growth, AI security momentum and rising enterprise adoption offer ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...

A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...

Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that can accelerate and dramatically reduce the energy cost of AI computation, ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Today’s “large language models” like ChatGPT don’t have the training to act in users’ best interest, but an MIT professor hopes to teach them how.

Radioactive, chemical or biological substances are undetectable to humans in threatening situations and difficult to detect with remote sensing. Researchers at the Fraunhofer Institute for ...

The Hechinger Report covers one topic: education. Sign up for our newsletters to have stories delivered to your inbox. Consider becoming a member to support our nonprofit journalism. Students, parents ...

The original version of this story appeared in Quanta Magazine. All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in ...

Space and time aren’t just woven into the background fabric of the universe. To theoretical computer scientists, time and space (also known as memory) are the two fundamental resources of computation.

All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in general, research mathematicians don’t need to think about it ...