Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

SoniqueCopy, founded by former corporate tech executive Sonia Hoey, launches a new agency model that eliminates traditional ...

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 ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

New discipline addresses gap between brand intent and AI-generated descriptions as 95% of B2B buyers plan to use ...

ARC Raiders update 1.000.024 has been released on February 24 for Shrouded Sky, and this brings new content and balance ...

Vijay Kumar, Founder and CEO of Mile, has focused his career on helping digital publishers extract greater value from programmatic advertising through advanced machine learning and data-driven ...

For patients with obesity, these risks intensify due to immobility challenges, atypical pressure distribution, and ...

News Commentary - Quantum speed is all about solving really big problems much faster than traditional computers. For ...

March is set to be an exciting month for Embark’s extraction shooter with two new ARC enemies to go toe-to-toe with as well ...

Abstract: The development of orthopedic robots for epiphyseal surgery is still in its nascent stages, with lacking considerations for autonomous path planning and biological force. The objective of ...