BeagleBone AI accelerates machine learning on Raspberry-like board

A newly released BeagleBone AI board will help developers who are interested in getting more out of machine learning and computer vision. The computer has four dedicated chips designed to help self-driving cars. BeagleBoard has Texas Instruments (TI) Embedded Vision Engine (EVE) chips that offer up to 8x performance per watt while running calculations for computer vision models. The performance is better as compared to running on an Arm Cortex A15-based CPU. The hardware is accessible to developers using TI Deep learning OpenCL (Open Computer Language) API.