BrickML is a standalone device for measuring and monitoring machine health with machine learning (ML). It tracks current (MCSA), vibration, temperature, and audio via its integrated sensors and onboard computer. Using advanced ML algorithms, BrickML analyzes data on the device itself to detect subtle changes in machine behavior, predicting potential failures before they occur. The compact design allows for easy integration into existing systems, providing real-time data analysis and actionable insights, right at the edge. It is fully integrated into the Edge Impulse platform, allowing users to quickly and easily create AI algorithms for their specific use cases. 

Syntiant Corp unveiled its TinyML Development Board, a developer kit aimed at both technical and non-technical users building machine learning-powered applications in smart products, such as speech commands, wake word detection, acoustic event detection, and other sensor use cases.