Edge AI

Small Enterprises and Low-Cost Models: Can Europe’s Edge AI Overtake China and the U.S.?

by
Small Enterprises and Low-Cost Models: Can Europe’s Edge AI Overtake China and the U.S.?

A competitive ecosystem has emerged globally around AI inference and training for edge devices. In 2021, Europe launched a research and development investment project named Prevail, aimed at enhancing Europe’s competitiveness in the global semiconductor industry by promoting innovation in edge AI. This project supports industrial enterprises of various sizes in developing and testing high-performance, … Read more

Edge AI Tool – NanoEdge AI Studio Installation Guide

by
Edge AI Tool - NanoEdge AI Studio Installation Guide

Recently, STMicroelectronics’ artificial intelligence tool – NanoEdge AI Studio has become available for free use. Taking this opportunity, I have worked on some projects and accumulated some experience, which I have organized into this article for everyone to reference. 1. Introduction NanoEdge AI Studio is an artificial intelligence development tool launched by STMicroelectronics, specifically designed … Read more

Qualcomm Acquires Edge Impulse: A Powerful Alliance in Edge AI and TinyML, How Will It Reshape the Industry Landscape?

by
Qualcomm Acquires Edge Impulse: A Powerful Alliance in Edge AI and TinyML, How Will It Reshape the Industry Landscape?

📢 Breaking News:Only 4 days left until the deadline for the 2025 China Edge Computing Top 20 Company list registration! If you miss this moment, your company may miss the biggest exposure opportunity in edge computing this year!🚀 The edge computing community has learned that Qualcomm has recently acquired the edge AI startup Edge Impulse. … Read more

What Are the Future Challenges of Edge AI and Robotics According to NVIDIA?

by
What Are the Future Challenges of Edge AI and Robotics According to NVIDIA?

This article is based on a lecture from NVIDIA GTC2024: I am discussing what will happen in the future. However, today’s talk will focus heavily on the practical challenges and the emerging trends that we believe can help address the challenges in artificial intelligence and robotics. But before looking to the future, it is important … Read more

Tech Giants Enter TinyML: A New Turning Point for Edge AI

by
Tech Giants Enter TinyML: A New Turning Point for Edge AI

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

Seizing Opportunities and Shaping the Future: Etron Technology’s Strategic Layout in Edge AI

by
Seizing Opportunities and Shaping the Future: Etron Technology's Strategic Layout in Edge AI

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

2025 Edge AI Report: Real-Time Autonomous Intelligence, From Paradigm Innovation to the Technological Foundation of AI Hardware

by
2025 Edge AI Report: Real-Time Autonomous Intelligence, From Paradigm Innovation to the Technological Foundation of AI Hardware

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 Evolution from AIoT to Edge AI

by
The Evolution from AIoT to Edge AI

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

Why MCU Manufacturers Are Accelerating Their Layout in Edge AI?

by
Why MCU Manufacturers Are Accelerating Their Layout in Edge AI?

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

Getting Started with Hailo: Accelerating Edge AI on Toradex Modules

by
Getting Started with Hailo: Accelerating Edge AI on Toradex Modules

Edge Computer Vision Why Choose Edge Computing? Embedded devices are becoming increasingly intelligent, with many machine learning and computer vision tasks being pushed to edge devices. Running AI models on such devices, while challenging, offers numerous advantages: Reduced Latency: Processing data on-device eliminates the wait time for transmitting data to the cloud or a central … Read more