A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...

Cerebras’ giant chip and other advances in 2025 reflect a post-Moore’s-law shift toward parallel computing and broader AI accessibility.

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

Jan. 9, 2026 Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for ...