Tech Xplore on MSN
A hardware-software co-design can efficiently run AI on edge devices
A new hardware-software co-design increases AI energy efficiency and reduces latency, enabling real-time processing of ...
Morning Overview on MSN
30-nm embedded memory could speed AI chips by cutting data shuttling
Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights ...
A study outlines low-latency computing strategies for real-time hardware systems, highlighting dynamic scheduling, ...
Tech Xplore on MSN
Memristor chip combines security and compute-in-memory for edge devices
A cross-institutional research team has developed Co-Located Authentication and Processing (CLAP), a privacy-preserving ...
Adarsh Mittal, a senior application-specific integrated circuit engineer, explores why many memory performance optimizations ...
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 ...
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 ...
Memory is no longer just supporting infrastructure; it's now become a primary determinant of system performance, cost and ...
Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...
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 ...
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