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

Equipped with the ultra-low-power Syntiant NDP101 Neural Decision Processor, the TinyML board can enable speech and sensor applications to run at under 140 and 100 microwatts, respectively, delivering 20x more throughput and 200x efficiency improvement compared to traditional MCU-based systems. Sized at 24 mm x 28 mm, the Syntiant TinyML board is a small, self-contained system that allows trained models to be easily downloaded via Edge Impulse through a micro-USB connection without the need for any specialized hardware. The new board also is fully compatible with Arduino’s open-source platform.

Users can easily sample raw data, build, download and deploy trained embedded machine learning models by using the Edge Impulse studio to create low-power, high-performance speech, audio, and sensor interfaces.

The TinyML platform’s onboard digital microphone and motion sensor enable easy configuration for any speech, event detection, or 6 axis motion- and vibration-related application. Shipping with a built-in “Alexa play music” model, key product features include: Syntiant NDP101 Neural Decision Processor; Syntiant Core 1 neural network; Supports up to 560k parameters and 64 output classifications;