As artificial intelligence hardware advances toward higher efficiency and greater intelligence, enabling individual physical devices to perform more ...

A research team from Peking University has successfully developed a vanadium oxide (VO₂)-based “locally active memristive oscillator” that operates at the edge of chaos. Through simple signal ...

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...

Chili powder's complex matrix poses challenges for pesticide residue analysis, requiring optimized LC–MS/MS methods for accurate quantification. Optimized extraction and d-SPE cleanup protocols ...

Nvidia Corporation remains a dominant force in AI infrastructure, with market share rising to 94% and a $3-4T GPU TAM projected within a decade. NVDA's operating earnings and margins are robust, with ...

According to Greg Brockman (@gdb), recent advancements in AI are heavily powered by optimized matrix multiplications (matmuls), which serve as the computational foundation for deep learning models and ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

According to DeepLearning.AI, Google researchers have developed AlphaEvolve, an innovative AI agent that leverages Gemini 2.0 Flash and Pro models to autonomously run, assess, and iteratively edit ...