The Necessity of More Than Just Chips for AI

The Necessity of More Than Just Chips for AI

In recent years, a main theme in the AI market has been edge AI—or more specifically, edge-side AI, and even further, TinyML.Competitors in this market include not only traditional MCU/MPU suppliers and IP providers but also many startups focused on edge AI chips. The advantages of edge AI technology have been discussed in many articles, … Read more

How MCU Companies Can Customize Without High Costs in the AI+MCU Era

How MCU Companies Can Customize Without High Costs in the AI+MCU Era

MIT (Massachusetts Institute of Technology) published a paper in 2018 titled “The Decline of General-Purpose Computing: Why the End of Moore’s Law and Deep Learning is Leading to Computing Fragmentation”. This paper predicted that as Moore’s Law slows down and the costs of cutting-edge semiconductor manufacturing processes rise, general-purpose computing would struggle to meet the … Read more

You Read That Right: Machine Learning on MCUs Is Powerful!

You Read That Right: Machine Learning on MCUs Is Powerful!

Image source: putilov_denis/stock.adobe.com Machine Learning (ML) is a very good tool for solving problems involving pattern recognition. ML algorithms can transform chaotic raw data into usable signals. The basic process is to generate a model based on data, and then use the model to predict outputs, achieving learning, reasoning, and decision-making without human interaction. However, … Read more

Deep Learning on Microcontrollers: Using TinyML for Embedded AI

Deep Learning on Microcontrollers: Using TinyML for Embedded AI

TinyML, or tiny machine learning, is used to implement machine learning on resource-constrained devices such as microcontrollers and embedded systems. If you want to leverage these low-cost, low-power yet remarkably powerful devices, then this book is for you. This book aims to increase the accessibility of TinyML applications, especially for professionals who lack the resources … Read more

Getting Started with TinyML: A Comprehensive Guide

Getting Started with TinyML: A Comprehensive Guide

If you are interested in running machine learning on embedded devices but are unsure how to get started, Google’s TensorFlow Lite team member Pete Warden will introduce how to build and run your own TinyML applications. This will include an overview of the different boards, software frameworks, and tutorials available to help you get started … Read more

Exploring TinyML with TensorFlow Lite Micro on HaaS EDU K1

Exploring TinyML with TensorFlow Lite Micro on HaaS EDU K1

Author: Luo Kui, Technical Expert, Alibaba Case Overview With the development of machine learning, TinyML has been working in your home, car, and even pocket. What is TinyML? It is a subfield of machine learning that includes algorithms, hardware, and software capable of analyzing sensor data and running on ultra-low power devices. For example, voice … Read more

Introduction to Excellent Verilog/FPGA Open Source Projects (35) – TinyML

Introduction to Excellent Verilog/FPGA Open Source Projects (35) - TinyML

Introduction Check out Why FPGA/ADC Communication Prefers GPMC Interface in Industrial Fields? to learn about TinyML~ Today, I will introduce several open-source projects related to TinyML. TinyML Cookbook https://github.com/PacktPublishing/TinyML-Cookbook Overview This book is about TinyML, a rapidly developing field at the unique intersection of machine learning and embedded systems, enabling AI applications on ultra-low-power devices … Read more

Embedded Machine Learning (TinyML) Practical Tutorial

Embedded Machine Learning (TinyML) Practical Tutorial

Introduction: This issue is the AI Briefing for 20210219, bringing you 8 news articles. The first wave after the Spring Festival is here, spring has come, and work resumes! New year, new atmosphere, and I hope everyone pays more attention to the community, where more exciting content awaits you! This article has a total of … Read more

IoT Enhancement Solutions: Insights on TinyML and MES

IoT Enhancement Solutions: Insights on TinyML and MES

Explore Smart Manufacturing Community IoT Enhancement Solutions: Insights on TinyML and MES Theme of This Session: IoT Enhancement Solutions: TinyML and MES Insights Event Time: May 13 (Thursday) 19:00 – 20:30 Event Location: Youli Cafe (Building 21, Zijing Apartment, 2nd Floor, near Zhilan Garden) Event Content The Ministry of Industry and Information Technology’s “13th Five-Year … Read more

Hands-On Tutorial for STM32 Embedded Machine Learning (TinyML) – Part 1

Hands-On Tutorial for STM32 Embedded Machine Learning (TinyML) - Part 1

Part 1: Overview In this tutorial, we will develop a machine vision application using machine learning technology on the STM32H747I Discovery development board. This tutorial is officially published by STMicroelectronics. Special thanks to the Edge Intelligence Lab for the original Chinese subtitles. The documents referenced in the video (also available for download from ST’s official … Read more