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.

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 ...

That helpful “Summarize with AI” button? It might be secretly manipulating what your AI recommends. Microsoft security ...

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

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

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 ...

AI agents are popping up everywhere, but without a conductor, they clash, waste money and create more problems than they ...

A generative AI framework rapidly designs optimized fuel cell catalyst layers that deliver significantly better performance ...

Health scoring prioritizes measurement over meaning. A score tells you what, but rarely why. When a user sees a “bad” number, they are left with unanswerable questions: Is the score low because of ...