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 ...

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.

Compressed carbon dioxide (CO2) energy storage (CCES) has emerged as a promising large-scale energy storage technology, characterized by high energy density, moderate critical temperature, and ...

National Energy Services trades at an attractive price-to-cash-flow ratio, offering further upside potential for investors.

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 ...

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 ...

Los Angeles, California - February 18, 2026 - PRESSADVANTAGE - Time Off Editing has announced an expansion of its Real ...

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

Q4 2025 Earnings Call February 23, 2026 4:30 PM ESTCompany ParticipantsCortney ReadBrian Bair - Founder, Chairman ...

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