A team of researchers developed “parallel optical matrix-matrix multiplication” (POMMM), which could revolutionize tensor ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

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, ...

While it's no replacement for either computer, the new device is a powerful alternative for addressing some very practical ...

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

A new study demonstrated that computer models of gut metabolism can predict which probiotics will successfully establish themselves in a person's gut ...

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

The race to develop a virtual scientist—an AI creation that conducts every stage of research, from idea to publication—has ...

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...

Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth ...

Computer science has long operated on a foundation of trust: researchers publish findings, peers verify them, and the field ...