
Smart Bluetooth beacons with System-on-a-Chip technology collect and analyze operational data in real time to provide machine-learning-informed insights.

A drop-in solution with edge AI enables immediate deployment of wireless condition-based monitoring with real-time notification of vibration anomalies.

Wireless vibration monitoring evaluation kit supports condition-based monitoring of motors in robotics, pumps, fans, wind turbines, and other systems.


Efficient, low-power vision AI microprocessors enable real-time inference at the edge for robotics, surveillance, and smart home devices.

A multicore processor, development board, and software combine to speed the design of edge AI applications.

Platform providers, device manufacturers, and semiconductor companies like Silicon Labs converge around the Matter protocol for smart device interconnectivity.

Learn how to use edge AI to extend battery life in wireless motor-monitoring applications.

Edge AI and microcontrollers enable efficient, scalable AI processing, reducing costs and power consumption while optimizing real-time applications.

Discover the Raspberry Pi 500, a powerful all-in-one computer in a keyboard. Explore specs, GPIO upgrades, and its perfect pair—the Pi Monitor.

Learn how Panasonic's hybrid capacitors, precision resistors, and wireless modules address key power management challenges in AI datacenters.



Use ultra-low-power MCUs with specialized capabilities to meet application requirements without compromising processor performance or power budgets.

Learn how the ADI 78002 MCU can support the design of edge AI applications with low power consumption, high performance, and robust security features.