Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

JINAN CITY, SHANDONG PROVINCE, CHINA, January 19, 2026 /EINPresswire.com/ -- The global market for three-in-one busbar ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.

With new funding, Electric Twin plans to expand internationally and further develop its prediction technology, enhancing its ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

“Vidya AI acts as a grading assistant for professors and a learning assistant for students,” said Dr. Pingakshya Goswami, ...

Lindy Mthembu is an electrical engineer with experience in medium- and low voltage planning, plant performance and technology management.

Regal Rexnord discusses core brake components and specifications that support compact, mobile and safety‑critical ...