Produced by | Zhixiaodong Open Class Instructor | Richard Li, CTO of Xiaogong Technology Reminder | FollowZhixiaodong Open Class or Zhixiaodong WeChat official account, and reply with the keyword Embedded 05 to obtain the course materials. Introduction: On June 22, Dr. Richard Li, CTO of Xiaogong Technology, conducted a live lecture on the fifth session … Read more
This article is a transcript of the second lesson in the autonomous driving series organized by Zhixiaodongxi. The session was led by Liu Guoqing, CEO of Minieye, with the theme “How to Break Through the Recognition Accuracy of ADAS Systems.” You can reply “autonomous driving” in the Zhixiaodongxi WeChat public account to obtain the complete … Read more
Click above Cheyun , welcome to follow and pin us! Introduction: For interdisciplinary fields, a rough overview is just the first step through the door. The camera is a core sensor for ADAS, and compared to millimeter-wave radar and laser radar, its greatest advantage lies in recognition (whether an object is a car or a … Read more
Click the above 【Car Cloud】 to follow and see more past content. “ For ADAS, the current product forms resemble those of smart home products, either as blockbuster single products or as powerful combinations of multifunctional devices. ” In today’s electronic information field, the pace of cross-industry integration is accelerating, and the connection between various … Read more
↑↑↑ Click on the blue text above, reply with materials, and get a surprise of 10GB Author: Mu Yang Source: Huazhang Computer (hzbook_jsj) Introduction: Today, we introduce a brand new version of machine learning that you may not have tried before, called TinyML. ML is something we are all familiar with, while TinyML is the … Read more
We previously published an article titled “TinyML: The Next Wave of Artificial Intelligence Revolution“, and held several events related to machine learning. We believe everyone has a certain understanding of TinyML, so why did we choose TinyML? Why Choose TinyML? ✦ Artificial Intelligence (AI) is rapidly transitioning from the cloud to the edge, entering increasingly … Read more
Computer vision is often seen as an important development direction for AI. With the continuous maturation of the AI industry and the expansion of application scenarios, the advantages of computer vision have gradually emerged, leading to an increase in market demand. Because computer vision is an indispensable and important sector for giants to layout AI, … Read more
AI chips can be categorized based on their application scenarios into cloud AI training and inference, edge AI inference, and terminal AI inference. In our article on the Top 10 Domestic AI Chips, we listed the cloud AI training and inference chips from 10 domestic AI chip companies. This article will focus on edge and … Read more
With the explosive growth of information in modern society, more and more memory and AI computing are being used for information storage and computation. However, even with powerful cloud computing, it is challenging to fully meet the demands for data bandwidth and transmission speed. Additionally, as people’s emphasis on data privacy protection increases, edge AI … Read more
According to a report by Electronic Enthusiasts (by Li Wanwan), due to high computational requirements, early AI started from cloud intelligence, requiring data to be uploaded to the cloud for processing. However, in the subsequent development process, issues related to user experience and data privacy emerged. Edge AI can significantly reduce latency issues and has … Read more