MCUs

List of Open-Source Inference Engines for TinyML MCUs

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List of Open-Source Inference Engines for TinyML MCUs

Open-Source Inference Engines Currently, the mainstream and active open-source TinyML inference engines with over 1k stars on GitHub provide core support for implementing neural network model inference on MCUs. Arm CMSIS-NN/DSP (CMSIS-6) A function library designed specifically for Arm Cortex-M cores, providing efficient neural network (NN) and digital signal processing (DSP) core functions. https://github.com/ARM-software/CMSIS_6 Google … Read more

The Reluctant Revival: Japan’s Semiconductor Industry in the Last Decade

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The Reluctant Revival: Japan's Semiconductor Industry in the Last Decade

This article is from the WeChat public account:Yuan Chuan Research Institute (ID: caijingyanjiu), Author: He Luheng, Cover image from: Visual China In August 2022, eight Japanese companies, including Toyota, Sony, Kioxia, and NEC, jointly established the new national semiconductor team, Rapidus. The Japanese government generously provided a subsidy of 70 billion yen. The Latin meaning … Read more

Overview of TinyML: Progress and Future by MIT’s Han Song

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Overview of TinyML: Progress and Future by MIT's Han Song

Tiny Machine Learning (TinyML) is the new frontier of machine learning. By compressing deep learning models into billions of Internet of Things (IoT) devices and microcontrollers (MCUs), we expand the scope of AI applications and achieve ubiquitous intelligence. However, due to hardware limitations, TinyML faces challenges: the tiny memory resources make it difficult to accommodate … Read more