模拟内存计算如何解决边缘人工智能推理的功耗挑战 - 知乎
网页How analog in-memory computing can solve power challenges of edge AI inference. 机器学习和深度学习已经成为我们生活中不可或缺的一部分。. 人工智能（AI）应用通过自然语言处理（NLP）、图像分类和目标检测深深地嵌入到我们使用的许多设备中。. 大多数人工智能 …
Microchip's SuperFlash memBrain™ neuromorphic memory …
网页Based on its industry proven SuperFlash® technology and optimized to perform vector matrix multiplication (VMM) for neural networks, Microchip’s analog flash memory solution improves system architecture implementation of VMM through an analog in-memory compute approach, enhancing AI inference at the edge.
How analog in-memory computing can solve power challenges of ... - Embedded
网页2020年2月4日 — Removing Memory Bottleneck with Analog In-Memory Computing. Performing inference operations at the edge becomes power efficient when the memory itself can be used to reduce power required for computation. The use of an in-memory compute method minimizes the amount of data that must be moved.
Enhancing System Architecture Implementation for AI Applications ...
网页Based on its industry proven SuperFlash ® technology and optimized to perform vector matrix multiplication (VMM) for neural networks, Microchip’s analog flash memory solution improves system architecture implementation of VMM through an analog in-memory compute approach, enhancing AI inference at the edge.
Enhancing System Architecture Implementation for AI Applications ...
网页2019年8月6日 — The memBrain solution is being adopted by today’s companies looking to advance machine learning capacities in edge devices. Due to its ability to significantly reduce power, this analog in-memory compute solution is ideal for any AI application.
Computing-in-Memory with SuperFlash® memBrain™ Technology
网页The implementation of a 2Mb memory array as an analog vector matrix multiplier (VMM) in a 28 nm SuperFlash® eFlash (ESF3-28 nm) process together with design concepts, weight tuning technique, performance factors, and reliability, are also presented in detail.
Computing-in-Memory Innovator Solves Speech Processing …
网页2022年2月28日 — Microchip has worked with WITINMEM to incorporate Microchip’s memBrain analog in-memory computing solution, based on SuperFlash technology, into WITINMEM’s ultra-low-power SoC.
Microchip Releases Its memBrain To Effectively Solve Speech …
网页2022年6月8日 — memBrain is an analog solution incorporated into WITINMEM’s ultra-low-power System on Chip. The Soc is built to run computing-in-memory technology for neural networks processing, for such applications as speech recognition, voiceprint recognition, deep speech noise reduction, health status monitoring, and scene detection.
Computing-in-Memory Innovator Solves Speech Processing
网页2022年2月28日 — Microchip has worked with WITINMEM to incorporate Microchip’s memBrain analog in-memory computing solution, based on SuperFlash technology, into WITINMEM’s ultra-low-power SoC. The SoC features computing-in-memory technology for neural networks processing including speech recognition, voice-print recognition, deep speech noise reduction ...
Analog memory reduces compute power for AI at the edge
网页2019年8月9日 — The analog memory technology is a neuromorphic memory solution based on SST’s SuperFlash technology and optimized to perform vector matrix multiplication (VMM) for neural networks. It improves system architecture implementation of VMM through an analog in-memory compute approach, which enhances AI inference at the edge.