Edge AI

Edge AI and Lightweight Technologies: Reconstructing the Last Mile of Artificial Intelligence

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Edge AI and Lightweight Technologies: Reconstructing the Last Mile of Artificial Intelligence

Edge AI achieves a closed loop of data “generation-processing-decision” by bringing intelligent computing down to terminal devices, while lightweight technologies become the core means to break through the bottlenecks of computing power, power consumption, and latency. This article systematically analyzes three major technical paths: model compression, hardware acceleration, and software-hardware collaboration, validating the effectiveness of … Read more

Java Edge AI Inference: Deploying TensorFlow Lite on Raspberry Pi

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Java Edge AI Inference: Deploying TensorFlow Lite on Raspberry Pi

Click the blue text to follow us Java Edge AI Inference: Deploying TensorFlow Lite on Raspberry Pi To be honest, when I first encountered edge AI, I completely went in the wrong direction. I thought that simply shrinking the model would allow it to run, but I ended up hitting a lot of pitfalls. At … Read more

Emerging Edge AI Strategy: Yuntian Lifei Welcomes the ‘Davis Double-Click’

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Emerging Edge AI Strategy: Yuntian Lifei Welcomes the 'Davis Double-Click'

On February 28, leading edge AI company Yuntian Lifei (688343) released its 2024 annual performance report. The report shows that in 2024, it achieved a total revenue of 918 million yuan, a year-on-year increase of 81%. This strong revenue growth is mainly due to the increase in income from intelligent operation services and sales of … Read more

Practical Edge AI with Python: From TinyML to NVIDIA Jetson for Edge Intelligence

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Practical Edge AI with Python: From TinyML to NVIDIA Jetson for Edge Intelligence

1. Evolution of Edge AI Technology From TinyML microcontroller-level inference to NVIDIA Jetson GPU-accelerated computing, the edge AI technology stack achieves a balance between computing power and power consumption. This tutorial covers the entire link of model lightweighting → real-time inference → offline deployment, focusing on solving core challenges such as model compression, hardware heterogeneity, … Read more

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

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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

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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?

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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?

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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

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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

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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