Edge AI

TinyML: An Overview of MCU Manufacturers’ Support for Edge AI

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TinyML: An Overview of MCU Manufacturers' Support for Edge AI

TinyML Market Status TinyML (Tiny Machine Learning) is a technology that runs machine learning models on resource-constrained microcontrollers and edge devices. The goal is to implement efficient machine learning algorithms on devices with low power, low memory, and low computational resources to support real-time data processing and decision-making. Remi El-Ouazzane, President of STMicroelectronics’ Microcontroller and … Read more

The Next Leap of Edge AI: Towards an ‘Agent Operating System’

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Author:Peng Zhao (Founder of Zhici Fang and Co-founder of Yunhe Capital)IoT Think Tank Original This is my 376th column article. We seem to be on the verge of a scene where, on a certain night, a drone is buzzing in the sky, its camera precisely locking onto the mechanical vibration anomalies of the main control … Read more

The Next Leap of Edge AI: Towards an ‘Agent Operating System’

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The Next Leap of Edge AI: Towards an 'Agent Operating System'

Author:Peng Zhao (Founder of Zhici Fang and Co-founder of Yunhe Capital)IoT Think Tank Original This is my 376th column article. We seem to be on the verge of a scene where, on a certain night, a drone is flying low, its camera precisely locking onto the mechanical vibrations of the main control pump room. Meanwhile, … Read more

FPGA: A Key Player in the Edge AI Market Beyond GPUs

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FPGA: A Key Player in the Edge AI Market Beyond GPUs

As AI computing power continues to decentralize, intelligent devices at the edge are experiencing explosive growth. From industrial inspection and AR glasses to portable medical devices, an increasing number of application scenarios demand real-time, low-power, and compact AI inference capabilities. In response to this trend, Field Programmable Gate Arrays (FPGAs) are becoming an important computing … Read more

Surge in Demand for Edge AI SoCs! From HiSilicon to Rockchip, Nine Flagship Chips Driving Intelligent Innovation

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Surge in Demand for Edge AI SoCs! From HiSilicon to Rockchip, Nine Flagship Chips Driving Intelligent Innovation

Chinese-funded Artificial Intelligence Public Account By 2025, the global number of edge AI hardware devices is expected to reach 2.3 billion, with these chips becoming the invisible engines of the intelligent world. “No year in technological transformation is as exciting as 2025!” commented a senior engineer in the chip industry on the current market. With … Read more

Rockchip’s Profit Surges 341%, Leading the ‘Chinese Chip’ Revolution in Inference Computing

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Rockchip's Profit Surges 341%, Leading the 'Chinese Chip' Revolution in Inference Computing

Author | Yan Xi As NVIDIA’s GB200 chip creates a billion-dollar frenzy in data centers, another revolution in computing power concerning trillion-dollar IoT terminals is quietly unfolding. Under the LCD dashboard of BYD’s smart cockpit, within the laser radar of Xiaomi’s robotic vacuum, and in the image processors of industrial quality inspection cameras, domestic ASIC … Read more

Implementing Responsible Edge AI Deployment with NXP

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Implementing Responsible Edge AI Deployment with NXP

Learn how NXP responsibly supports edge AI, focusing on ethical considerations, privacy, security, and fairness in embedded machine learning applications. www.nxp.com While some people first consider how to make AI work, NXP goes beyond expectations and asks a question: How can we make AI work in a safe, reliable, and responsible manner? This is where … Read more

Reconstructing Quality Inspection Productivity with Edge AI to Drive Upgrades in Quality Control Paradigms

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Reconstructing Quality Inspection Productivity with Edge AI to Drive Upgrades in Quality Control Paradigms

在现代制造业中，质量控制是确保产品符合标准的关键环节。随着技术的进步，传统的质量检验方法面临着效率低下和准确性不足的问题。边缘AI的引入为这一领域带来了革命性的变化。 边缘AI技术通过在生产现场进行数据处理，能够实时分析产品质量，减少了对人工检验的依赖。这种方法不仅提高了检验的速度，还提升了检验的准确性。通过使用机器学习算法，边缘AI能够识别出潜在的缺陷，并在问题发生之前进行预警。 此外，边缘AI还可以与其他智能制造系统集成，实现数据的互联互通，进一步优化生产流程。通过这种方式，企业能够实现更高的生产效率和更低的运营成本。 总之，边缘AI的应用正在推动质量管控范式的升级，使得制造业能够更好地应对市场的变化和客户的需求。

Neuromorphic Computing: Entering Edge AI

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Neuromorphic Computing: Entering Edge AI

Currently, there is a growing desire among humans to retire the “Von Neumann architecture”. Due to the issues of memory wall and power wall, the Von Neumann architecture is increasingly hitting a bottleneck. Neuromorphic chips are one of the routes to break through the “Von Neumann architecture”. They are chips that highly simulate the computational … Read more

This Thursday’s Special Topic – Edge AI: The New Frontier of AI Computing Power in Edge Computing

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This Thursday's Special Topic - Edge AI: The New Frontier of AI Computing Power in Edge Computing

Special Topic Summary, Lock in Every ThursdayPERSONAL WORK SUMMARYThisIssueSpecialTopicEdge AI With the development of the industry, companies increasingly require efficient, flexible, and scalable computing resources, leading to a gradual increase in the demand for low-latency and low-cost computing services across various scenarios.Edge computing can address issues such as long response times and high bandwidth costs … Read more