MarkDown # Getting Started with TinyML: Playing with AI on Micro Devices Using Python Hello everyone! Today we are going to explore a super cool Python library – TinyML. In simple terms, TinyML is a magical tool that allows AI models to run on micro devices like smartwatches and sensors. Imagine your fitness band intelligently … Read more
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。
Starting from the new paradigm of AI, the AX8850 opens a new era of high-efficiency AI processing. In the current global wave of artificial intelligence, the consensus that “AI is everywhere” has emerged. However, how to popularize AI in edge scenarios with lower costs and higher energy efficiency has become a key competition among chip … Read more
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
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
Follow “Electronic Engineering Magazine” and add the editor’s WeChat Regional groups are now open, please send messages 【Shenzhen】【Shanghai】【Beijing】【Chengdu】【Xi’an】 to the public account EdgeAI is starting to scale Currently, edgeAI has rapidly evolved from laboratory technology to the core engine of industrial transformation. According toGartner‘s prediction, by2026, 50% of global enterprises will deployAI capabilities at the … Read more
From Cloud to Edge The Distributed Future of AI As AI technology flourishes, edge computing is gradually becoming a significant force driving AI to new heights. With the explosive growth of IoT devices and the increasing demand for real-time data processing, traditional cloud-based centralized AI processing models face numerous challenges such as bandwidth limitations and … Read more
✅ Author Profile: A research enthusiast and MATLAB simulation developer, skilled in data processing, modeling simulation, program design, obtaining complete code, reproducing papers, 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. 🔥 Content Introduction … Read more
Innatera’s new neuromorphic chip is optimized for artificial intelligence at the network edge. Innatera by mimicking the way the brain operates, neuromorphic processors consume significantly less power in certain applications compared to traditional technologies. Today, the Dutch company Innatera has launched what it claims to be the world’s first commercial neuromorphic microcontroller, hoping to drive … Read more
以下为逐句中英对照翻译（中文保留原文格式，英文使用半角标点）： — Municipal authorities have recognized the value of “dense sensor networks,” which enable “monitoring of diverse conditions across systems or regions.” Automatic license plate recognition technology can be used to track vehicles across cities and impose fines for traffic violations. Santander, Spain, has deployed 12,000 sensors throughout its urban area to measure “noise, temperature, … Read more