One of the core visions of 5G is edge computing, sometimes referred to as Mobile Edge Computing (MEC). The idea is to enable Mobile Network Operators (MNO) to deploy computing resources closer to the base stations, thereby achieving ultra-low latency and allowing them to charge higher fees for premium services. Five years have passed, and … Read more
Introduction to Huawei Ascend Atlas 200I DK A2 Developer KitFeiteng FT-2000 Development Board: A Duet of Performance and SecurityXilinx EK-U1-ZCU104-G: A Development Board Choice with High Performance Processing Capability In today’s digital age, Artificial Intelligence (AI) has permeated every aspect of our lives, from smart homes to autonomous driving, from intelligent security to industrial automation, … Read more
With the ongoing deployment of the new generation of communication infrastructure and edge computing applications, an increasing number of applications and data processing are being conducted at the edge. This presents new requirements for the deployment and scheduling of traditional computing infrastructure. Distributed computing offers new ideas for on-demand access to computing power across various … Read more
Click the blueFollow us In today’s global wave of AIoT (Artificial Intelligence of Things) and edge computing, companies have higher demands for the performance, flexibility, and development efficiency of hardware platforms. How can we shorten the product cycle from prototype to mass production? How can we achieve complex functions at a lower cost? How can … Read more
In recent years, RISC-V chips have developed rapidly worldwide, especially in the Chinese market, with domestic manufacturers active in various fields.ZTE Corporation, as a less frequently mentioned giant, joined the RISC-V International Foundation as early as 2018, deeply participating in standard formulation.Previously, it disclosed few details about its RISC-V chips, but early last month, it … Read more
✦ ✧ Introduction ✦ In today’s world where artificial intelligence (AI) is rapidly moving towards edge computing, AI is no longer confined to the large computing power of data centers but is increasingly deployed in compact, efficient, and intelligent embedded devices. From autonomous driving and industrial inspection to smart security and robotic control, the performance … Read more
In 2021, with the maturity of 5G, AIoT, and machine vision technologies, industrial scenarios demand more stringent requirements for device computing power, reliability, and multimodal interaction. AI localized deployment has become a necessity, as traditional cloud processing struggles to meet real-time requirements; Multi-sensor fusion (visual, audio, control) has given rise to heterogeneous computing architectures; Harsh … Read more
In traditional embedded development, electronic engineers need to focus on software development and hardware fundamentals. However, with the evolution of technology, emerging fields such as Artificial Intelligence (AI) and the Internet of Things (IoT) have significantly transformed embedded development. So, what technologies should engineers pay attention to today? 1. Edge Computing and AI Deployment Model … Read more
Weekly Summary Every ThursdayPERSONAL WORK SUMMARYThisIssueTopicEdge AI In recent years, artificial intelligence (AI) technology has rapidly developed, transitioning from the cloud to the edge, driving the intelligent transformation of various industries. AI Edge Computing, as a key technology, is changing traditional data processing models, making computation more efficient, real-time, and secure.This article will delve into … Read more
Starting from the new paradigm of AI, the AX8850 opens a new era of high-efficiency AI processing. In the current global wave of artificial intelligence, the consensus that “AI is everywhere” has emerged. However, how to popularize AI in edge scenarios with lower costs and higher energy efficiency has become a key competition among chip … Read more