“AI chips commonly employ SRAM memory as buffers for their reliability and speed, which contribute to high performance. However, SRAM is expensive and demands significant area and energy consumption.
New academic paper titled “Towards a Truly Integrated Vector Processing Unit for Memory-bound Applications Based on a Cost-competitive Computational SRAM Design Solution”, from researchers at Univ.
Chinese researchers have developed super-fast non volatile flash memory Graphene channel enables 400 picosecond write speed and persistent storage "PoX" device targets AI bottlenecks with low power, ...
NUREMBERG, Germany, March 14, 2017 (GLOBE NEWSWIRE) -- (Embedded World 2017) – NXP Semiconductors N.V. (NASDAQ:NXPI) announced today its new Kinetis K27/K28 family of ARM® Cortex®-M4-based ...
Memory has become an increasingly vital ingredient of the ultra-low-power Internet of Things (IoT) chip designs, and that’s apparent from Nordic Semiconductor’s acquisition of low-voltage embedded ...
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