Hardware-Acceleration
The OpenMV AE3: A Time-of-Flight Doorman for the NPU
Part two of the OpenMV series shrinks the board and the power to a quarter of a watt, while running YOLO. Built on Alif's Ensemble E3 with two Cortex-M55s and two Ethos-U55 NPUs, the AE3 also carries something its bigger sibling does not, a VL53L8CX 8x8 ToF depth sensor.
The OpenMV N6: A MicroPython Camera with a Real NPU
The OpenMV N6 pairs an 800 MHz Cortex-M55 with ST's 600-GOPS Neural-ART NPU and a removable global-shutter camera, and MicroPython - YOLO object detection at 30 fps, in Python, under a watt. We tour the hardware properly, walk through setup, and build a people-counting application on the NPU.
From TinyML to Tiny Language Models: the State of Edge AI in 2026
A field guide to state-of-the-art edge AI in 2026, covering the models that now run on small devices, the neural accelerators that make them possible, and federated learning, grounded in the low-cost hardware used throughout this blog.