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

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 ...

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

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 ...

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

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

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

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 ...

Quantum Speed Technology Targeting Multi-Trillion-Dollar Infrastructure Efficiency Opportunity - Financial News Media. Advanced computing power positions companies to unlock cost savings across global ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...

Marketing’s real AI advantage won’t come from adopting it quickly, but from defining early and clearly what should never be automated ...

Discover Experiential Reinforcement Learning (ERL), a revolutionary AI training paradigm that allows language models to learn from their own reflections, turning failure into structured wisdom without ...