The Next Big Thing After AI: Edge Computing

The development of artificial intelligence has brought convenience and changes to people’s lives. However, a cloud-centric architecture is not always the ideal solution in every situation, such as concerns about information security and challenges in product design due to power consumption. As a result, embedded artificial intelligence technology, characterized by its distributed nature, has begun … Read more

Accelerating Intelligent IoT 2.0: Emergence of Edge Intelligence

Accelerating Intelligent IoT 2.0: Emergence of Edge Intelligence

Author: Peng Zhao (Founder of Zhiciph, Co-founder and Partner of Yunhe Capital) IoT Think Tank Original This is my 324th column article. The integration of large AI models with hardware is in full swing, but it seems to be facing resistance on the B2C consumer side. According to The Information, former Apple design chief Jony … Read more

Differences and Similarities Between IoT and Edge Computing

Differences and Similarities Between IoT and Edge Computing

Introduction: As more and more IoT devices connect, they generate massive amounts of data. However, sending all this data to the cloud for processing may be counterproductive. Edge computing pushes data processing closer to the source (sensor devices) instead of sending it to a centralized cloud located thousands of miles away. In recent years, low-cost … Read more

What Is IoT Architecture? Finally Explained Clearly

What Is IoT Architecture? Finally Explained Clearly

The Internet of Things (IoT) consists primarily of IoT devices, gateways, and the cloud. 01 IoT Network Architecture From bottom to top, there are the perception layer, network layer, and application layer. ▪ Perception Layer: Identifies objects and collects information; ▪ Network Layer: Primarily responsible for information transmission; ▪ Application Layer: Provides rich IoT-based applications; … Read more

What Are Edge AI Chips?

What Are Edge AI Chips?

1: Classification of AI Chips There are many AI chips on the market, which can be quite dazzling. Based on their application scope, they can generally be divided into several categories. Terminal AI Chips: Terminal AI chips require low power consumption and have relatively low computing power demands, mainly for AI inference applications. Terminal AI … Read more

How to DIY an Edge Computing PLC with Raspberry Pi

How to DIY an Edge Computing PLC with Raspberry Pi

Search on WeChat Technical Training PART. 01 Why Use Raspberry Pi? Raspberry Pi, a card-sized computer designed for computer programming education for students, is only the size of a credit card. Based on an open Linux system, Raspberry Pi allows free development in programming languages such as C/C++, Python, Javascript, etc., providing an excellent learning … Read more

Technical Supply | Choices of Industry 4.0

Technical Supply | Choices of Industry 4.0

The BOXER industrial embedded computer is a robust, powerful, and flexible platform built for machine learning and computer vision applications. The BOXER series adds artificial intelligence capabilities at the edge, now providing a powerful edge computing platform to support Industry 4.0. The BOXER edge computing system has a wide range of functionalities and form factors, … Read more

On-Demand Optimizing Deep Learning Model Based on Edge Computing

On-Demand Optimizing Deep Learning Model Based on Edge Computing

022 Issue 9 Directory | Special Topic [Edge Artificial Intelligence for 6G] Intent-Driven Edge Intelligent Network for 6G Intelligent Grouping Mechanism in 6G Drone Edge Computing Scenarios Wireless Federated Learning Based on Spiking Neural Networks Special Topic 4 Edge Artificial Intelligence for 6G Mobile Communications, 2022 Issue 9 On-Demand Optimizing Deep Learning Model Based on … Read more

Real-Time Decision Making with Embedded AI

Real-Time Decision Making with Embedded AI

2021 Smart Transformation: New Innovations Artificial Intelligence 2021/7/26 On July 22, it was reported that a team led by Professor Su Rijian from the School of Computer and Communication Engineering at Zhengzhou University of Light Industry has made new progress in the project “Research on Non-invasive Temperature Measurement Methods Based on Superparamagnetic Nanoparticles” funded by … Read more

LARS: A Latency-aware Real-time Scheduling Framework

LARS: A Latency-aware Real-time Scheduling Framework

Introduction This work, “LARS: A Latency-aware and Real-time Scheduling Framework for Edge-enabled Internet of Vehicles,” was accepted by the IEEE Transactions on Service Computing (TSC) in August 2021. The main content of the paper includes: By analyzing real traffic datasets, the feasibility of forming vehicle clusters (Herd) in Edge Internet of Vehicles (IoV) has been … Read more