1. Self-Introduction and Board Introduction Hello everyone, I am “A Big Brother Rong”, and this time I am participating in the first issue of the second season of Funpack. The board used in this episode is the TinyML development board from Syntiant, a provider of deep learning solutions, which uses the NDP101 ultra-low power neural … Read more
TinyML is a miniature or small-scale artificial intelligence technology that can run on resource-constrained microcontrollers (MCUs) with features such as low latency, low power consumption, and low cost. It can perform inference tasks in AI such as keyword detection, anomaly detection, and object recognition. MCU Manufacturers Merging with AI Companies to Layout TinyML In May … Read more
Machine Learning (ML) is a vibrant and powerful field of computer science that permeates almost all digital devices we interact with, whether it’s social media, mobile phones, cars, or even household appliances. Artificial Intelligence (AI) is rapidly moving from the “cloud” to the “edge,” entering increasingly smaller IoT devices. The machine learning processes implemented on … Read more
TinyML Gesture Recognition TinyML Hands-On Workshop Have you ever visited the Harry Potter area in Universal Studios Beijing? Do you remember the magical interactive window display that became an instant hit when it opened? Many tourists lined up in Diagon Alley with wands in hand to experience the thrill of casting spells! Flowers bloom! Lights … Read more
Learn how to deploy complex machine learning models on single-board computers, mobile phones, and microcontrollers. Main Features ● Comprehensive understanding of the core concepts of TinyML. ● Learn how to design your own TinyML applications from scratch. ● Explore cutting-edge models, hardware, and software platforms for developing TinyML. Description TinyML is an innovative technology that … Read more
Click belowcard, follow the “LiteAI” public account Hi, everyone, I am Lite. Recently, I shared the Efficient Large Model Full-Stack Technology Articles 1 to 19, which includes content on large model quantization and fine-tuning, efficient inference of LLMs, quantum computing, generative AI acceleration, etc. The content link is as follows: Efficient Large Model Full-Stack Technology … Read more
Industry Insights and News Sharing Invites You to Submit/Recommend Articles Electric Family Supply and Demand Information Platform www.dd1j.com www.ev108.com Author | Matthew Stewart Translator | Gai Lei Planning | Chen Si A trend in artificial intelligence is rapidly shifting from the “cloud” to the “edge”. TinyML is the implementation of AI on microcontrollers at the … Read more
Editor’s Note: The author, Jose Vicente Sáez Ibáñez, is a senior ML and software development engineer with international experience. He has been dedicated to researching the intersection of artificial intelligence and the Internet of Things (AIoT). Over the past few years, he has been deeply involved in the smart city industry across China, Spain, and … Read more
Click the blue text to follow us Introduction In today’s Internet of Things era, the application of voice recognition technology is becoming increasingly widespread. This article will introduce how to deploy a TinyML voice recognition system and detail the process from data collection to model deployment. Getting Started with TinyML: Implementing TinyML Voice Recognition Using … Read more
This article is contributed by the community, author Wang Yucheng, ML&IoT Google Developers Expert, Chief Engineer of the Intelligent Lock Research Institute at Wenzhou University. Learn more: https://blog.csdn.net/wfing After discussing the previous chapters, we have understood the concept of TinyML, completed the simplest TinyML model and ran it on a microcontroller, yielding the most basic … Read more