The devices are compact and cost-effective, designed to reduce the BOM, simplify board layout and accelerate time to market for power conversion, motor control and intelligent sensing applications.

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

Google signed a billion-dollar cloud deal with Mira Murati’s Thinking Machines Lab, giving the AI startup new firepower to ...

The next phase of AI may unfold in the factories, warehouses and cities where the physical world is built and maintained.