Edge Intelligence

Edge Intelligence in Vehicle Networks: Concepts, Architecture, Issues, Implementation, and Prospects

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Edge Intelligence in Vehicle Networks: Concepts, Architecture, Issues, Implementation, and Prospects

Click the blue text above to follow us! Edge Intelligence in Vehicle Networks: Concepts, Architecture, Issues, Implementation, and Prospects Jiang Kai1, Cao Yue1, 2, Zhou Huan3, Ren Xuefeng2, Zhu Yongdong4, Lin Hai1 1. Wuhan University, Wuhan, Hubei 430072; 2. Huali Zhixing (Wuhan) Technology Co., Ltd., Wuhan, Hubei 430056; 3. Three Gorges University, Yichang, Hubei 443002; … Read more

Edge Intelligence: A New Engine of Transformation in the Digital Wave

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Follow “Electronic Engineering Magazine” and add the editor’s WeChat Regional groups are now open, please send messages 【Shenzhen】【Shanghai】【Beijing】【Chengdu】【Xi’an】 to the public account In the process of digital development, Edge Intelligence has become a key force driving transformation across various industries. As an innovative technology that integrates edge computing and artificial intelligence, combining the advantages of … Read more

Celebrating 40 Years of FPGA: AMD Focuses on Edge Intelligence and Heterogeneous Computing

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Celebrating 40 Years of FPGA: AMD Focuses on Edge Intelligence and Heterogeneous Computing

According to a report from Electronic Enthusiasts (by Huang Jingjing)Xilinx launched its first FPGA chip, the XC2064, in June 1985, featuring 600 gates, 64 configurable logic blocks, and a clock frequency of 70 MHz.This field-programmable gate array (FPGA) enabled engineers to flexibly customize chip functions without waiting for chips to return from the foundry, significantly … Read more

Integrating Intelligence Throughout Humanoid Robots: A Domestic MCU Company’s Exploration of MCU+AI (TinyML)

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Integrating Intelligence Throughout Humanoid Robots: A Domestic MCU Company's Exploration of MCU+AI (TinyML)

According to a report by Electronic Enthusiasts (Author: Wu Zipeng), when developing humanoid robot solutions, most people equate the intelligence capabilities of robots with AI large models. With high-performance AI chips paired with AI large models, the intelligence level of humanoid robots has significantly improved. However, AI large models are primarily used for high-level intelligent … Read more

Understanding NPU: A Comprehensive Overview

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Understanding NPU: A Comprehensive Overview

(Source: extremetech) What does “NPU” stand for? What can it do? Here’s what you need to know about this emerging technology. In the past year, discussions about Neural Processing Units (NPU) have increased significantly. Although NPUs have been present in smartphones for several years, Intel, AMD, and more recently, Microsoft have launched consumer-grade laptops and … Read more

Efficient Micro Machine Learning Systems for Edge Intelligence

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Efficient Micro Machine Learning Systems for Edge Intelligence

Source: Zhuangzhi This article introduces the thesis, recommended reading time 5 minutes. A new trend is to utilize learning paradigms on devices, bringing the end-to-end ML process closer to edge devices. Modern machine learning (ML) applications are often deployed in cloud environments to leverage the computing power of clusters. However, traditional cloud computing solutions cannot … Read more