A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

A new study highlights the critical role of advanced AI-integrated battery management system technologies in monitoring, optimizing, and predicting battery performance for reliable and sustainable ...

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

Infineon’s automotive-grade MCU and companion software architecture from Munich Electrification deliver precision, safety, ...

Alternative battery technologies, hybrid energy storage, and the use of AI-based solutions drive advances in battery energy ...

Earlier BMS lacked microcontrollers, advanced sensors, and data-processing capabilities, meaning they couldn't monitor each cell in detail, estimate State of Charge (SoC) or State of Health (SoH), or ...

Envision Energy has launched a fully integrated energy storage solution combining hardware, software, and market-facing AI to optimize performance, safety, and trading. Its “Physical AI” platform ...

The In-Sight 3800 can inspect up to 1,200 parts per minute, leveraging multi-torch illumination for enhanced surface contrast. Built on hybrid AI, it merges AI-based edge learning with rule-based ...

NOTE: since most of the US is currently getting hit with a huge winter storm, I’m republishing this list of home batteries as a reminder to be prepared for the next one – particularly for folks who ...