How to Use TinyML for Edge Computing in Embedded Systems

How to Use TinyML for Edge Computing in Embedded Systems

Implementing edge computing in embedded systems is becoming increasingly popular, with several platforms beginning to support it, utilizing TinyML – compact machine learning. In addition to the eighth edition of Arduino Nano 33 BLE launched by our company, ESP32, QuickLogic’s QuickFeather, and PICO are also building an ecosystem around TinyML. We will gradually launch activities … Read more

Alternatives to Power-Hungry and Expensive AI in the Global South

Alternatives to Power-Hungry and Expensive AI in the Global South

On February 20, 2025, Science published an article titled “What is tinyML? Alternatives to power-hungry and expensive AI in the Global South,” which points out that due to the high power consumption and cost of many AI models, researchers in Global South countries are increasingly adopting low-cost, low-power alternatives. This article shares the main content … Read more

AI Proliferation Brings New Challenges to Embedded Designers

Click the title below “Guo Xin Nan Fang” for quick follow-upSource: TechSugar From monitoring and access control to smart factories and predictive maintenance, artificial intelligence (AI) built on machine learning (ML) models has become ubiquitous in industrial IoT edge processing applications. As this trend becomes widespread, the construction of AI-supported solutions has become “mainstream”—shifting from … Read more