A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...

GSI Gemini-I APU reduces constant data shuffling between the processor and memory systems Completes retrieval tasks up to 80% faster than comparable CPUs GSI Gemini-II APU will deliver ten times ...

Peking University, July 16, 2025: A research team led by Prof. Yang Yuchao from the School of Electronic and Computer Engineering at Peking University Shenzhen Graduate School has achieved a global ...

Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...

A cross-institutional research team has developed Co-Located Authentication and Processing (CLAP), a privacy-preserving ...

A study outlines low-latency computing strategies for real-time hardware systems, highlighting dynamic scheduling, ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

In a study published in Nature Electronics, a research team led by Prof. SUN Haiding from the University of Science and Technology of China of the Chinese Academy of Sciences, along with the ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...