In December 2016, Vivienne Sze, Yu-Hsin Chen, and others (authors of Eyeriss) published a good review article titled “Hardware for Machine Learning: Challenges and Opportunities” on arXiv. Here, I would like to discuss my understanding of the “challenges” and “opportunities” in conjunction with this article [8] and the ISSCC2017 paper [1-7]. First, this discussion mainly … Read more
Key Technologies of Machine Learning and Digital Signal Processing in Cortex-M Processors (Click the link to read the original)
▲ Click the above to follow STM32 Artificial intelligence has moved from a high-tech domain to multi-scenario applications,and in this process, embedded technology will become an important carrier platform for AI implementation. Not long ago, the 2020 World Artificial Intelligence Conference (WAIC) just concluded in Shanghai, reigniting the concept of artificial intelligence in the industry. … Read more
Introduction: This issue of AI Briefing 20210115 will bring you 9 pieces of news, interesting and informative~ This article has a total of 3500 words, and it will take about 7 to 12 minutes to read through. 1. EdgeBERT: Extreme Compression, 13 Times Lighter than ALBERT! Will BERT Run on Raspberry Pi Soon? There are … Read more
Author:Robert Lucian Chiriac, translated by Machine Heart With nothing to do, we installed a Raspberry Pi in our beloved car, equipped it with a camera, designed a client, and completed a real-time license plate detection and recognition system. How can we create a smart car system without changing the vehicle? For some time, the author … Read more
(For Python developers, add a star to improve Python skills) Source: Machine Heart With some free time, we equipped our car with a Raspberry Pi, added a camera, designed a client, and completed a real-time license plate detection and recognition system. How to build an intelligent car system without changing the car? For some time … Read more
Wang Xiaoxin, compiled from Google Cloud Blog | Produced by QbitAI Programmers, even parenting is so tech-savvy… This summer, Kaz Sato, who is responsible for developer relations at Google Cloud, developed a “rock-paper-scissors machine” with his son using some sensors and a simple machine learning linear model that can detect gestures for rock, paper, and … Read more
1. Overview of Machine Learning Infographic 2. Evolution of Machine Learning Infographic 3. Methods of Machine Learning Infographic Recommended Reading Old Technology vs New Technology! Amazing information discovered after disassembling the Phantom v5 camera from 2001 Xilinx widely deploys dynamic reconfiguration technology More functional modules seamlessly connected: PXIe700 board expands functionality through FMC HPC [Video] … Read more
Click the “Mushroom Cloud Create” above to follow us! HUSKYLENS Image Recognition Update! The HuskyLens image recognition has recently undergone a major functional update, version V0.4.9Class, adding the “Object Classification” feature. The much-anticipated machine learning functionality is finally online! Hooray! What is this feature useful for? Let’s explore it together. What is Object Classification? The … Read more
Biometric recognition includes face recognition, voice recognition, fingerprint recognition, retinal or iris recognition. Among these, face recognition is currently the most widely used biometric technology in identity authentication or identity lookup applications. Face recognition specifically refers to the computer technology that uses analysis and comparison of facial visual feature information for identity verification. Broadly speaking, … Read more