David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...

ACM, the Association for Computing Machinery, today named Matei Zaharia as the recipient of the ACM Prize in Computing for ...

Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...

To help solve this problem, Generalist has relied on “data hands,” a set of wearable pincers that capture micro-movements and ...

The initiative aims to build "AI-ready learners" by introducing core problem-solving skills and digital literacy from an ...

Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...

Inside a giant autonomous warehouse, hundreds of robots dart down aisles as they collect and distribute items to fulfill a steady stream of customer orders. In this busy environment, even small ...

The models work. The cloud infrastructure is in place. The data teams are capable. Yet the results from AI are still wanting, and the timelines are slipping. This is not an unusual situation; it is ...

In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...