Author: Zach Shelby (Founder of Edge Impulse, Co-founder of Yunhe Capital)IoT Think Tank Original This is my 364th column article. Recently, the field of Tiny Machine Learning (TinyML) has made milestone progress, crossing an important watershed. The maturity and development potential of this technology will reach a new level. The most representative event was Qualcomm’s … Read more
With the rapid development of emerging technologies such as the Internet of Things, big data, and artificial intelligence, the demand for industrial-grade storage continues to grow. As AI technology rapidly evolves, AI solutions are migrating to the edge, presenting new opportunities for the storage industry in the edge AI market. Etron Technology, which has a … Read more
Author: Peng Zhao (Founder of Zhici Fang, Co-Founder of Yunhe Capital)IoT Think Tank Original This is my 365th column article. In the previous article “Tech Giants Enter TinyML, Edge AI Reaches a New Turning Point,” I mentioned that the TinyML Foundation has undergone a rebranding and is now known as the Edge AI Foundation. Recently, … Read more
The migration of AI, including generative AI, to edge devices has raised widespread questions: If cloud or data centers already possess excellent AI inference capabilities that far exceed those of edge devices, why do we still need to deploy edge or on-device AI? Until we realized that automotive ADAS/AD decision-making must prioritize real-time performance; otherwise, … Read more
Smart homes, industrial IoT, wearable devices, and smart surveillance are currently hot topics of interest. Enhancing the AI processing capabilities of edge computing will significantly improve the intelligence level of terminal devices. In this context, edge AI has entered a fast track of development in recent years. The MCU is the most widely used processor … Read more
Editor’s NoteThe Russia-Ukraine war has accelerated the innovation of tactics and techniques for cyber attacks on industrial control systems. The bombing incident involving pagers and walkie-talkies in the Lebanon conflict has reshaped the understanding of traditional cyber warfare. Artificial intelligence and large models have reduced the spatiotemporal costs for attackers. Targeted ICS malware, weaponized PLCs, … Read more
✅ Author Profile: A research enthusiast and Matlab simulation developer, skilled in data processing, modeling simulation, program design, complete code acquisition, paper reproduction, and scientific simulation. 🍎 Previous reviews, follow the personal homepage:Matlab Research Studio 🍊 Personal motto: Investigate to gain knowledge, complete Matlab code and simulation consultation available via private message. Intelligent Optimization Algorithms … Read more
As one of the most destructive natural disasters, the construction of an earthquake early warning system has always been a significant topic in the scientific community. In recent years, with breakthroughs in smartphone technology, global research teams have discovered a disruptive solution: utilizing the built-in sensors of billions of smartphones to construct an earthquake sensing … Read more
In Wireless Sensor Networks (WSN), sensors rely on battery power, which is limited in usage time, making energy-saving and coverage protocols crucial. The node deployment model plays a key role in the efficient operation of the network, and today we will introduce the key points of this model. 1. Sensor Detection Model The probability of … Read more
PLC Industrial IoT: Intelligent Networking of Sensor Networks Achieving 100% Data Collection Coverage! 📖 Estimated reading time: 5 minutes > This article will provide you with a detailed explanation of the complete solution for intelligent networking of PLC sensor networks, helping you achieve full data collection coverage! > – Have you encountered issues with unstable … Read more