High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

The UC Berkeley crew has now shown the value of AI-based optimization work by having OpenEvolve work out a more efficient approach to load balancing across GPUs handling LLM inference.

Researchers from the Institute for Artificial Intelligence at Peking University, led by Sun Zhong, have developed a ...

Chinese researchers develop high-precision scalable analog matrix computing chip based on resistive memory, realizing for the ...