Edge AI training on microcontrollers boosts IoT predictive maintenance

One Tech (Dallas, TX) has ported its edge AI unsupervised training technology to microcontrollers to boost analysis in the Internet of Things. MicroAI Atom is designed to be embedded on microcontroller units (MCUs) and can now train and run AI models directly at the endpoint. This enables silicon manufacturers, original equipment manufacturers (OEMs), smart device manufacturers and smart device owners to reduce the costs of bringing intelligence to the edge and endpoint by at least 80 percent. Enabling unsupervised training on a microcontroller at the nertwork edge allows functions such as predictive maintenance that were previously only available on microprocessors. This differs from the AI accelerators on microcontrollers that run an inference engine that has already been trained. "This is a groundbreaking phase for the industry.