ONE Tech Redefines Edge AI on MCUs with Latest MicroAI Product Enhancement

According to a recent release, ONE Tech, an edge AI technology company, has added new capabilities to MicroAI Atom, which is designed to be embedded on microcontroller units (MCUs) and the company said it’s now able to train and run AI models directly at the endpoint. The upgrade reportedly enables silicon 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.

MCU-based devices can now perform tasks at the network edge—such a predictive maintenance—that were previously only available on microprocessor units (MPUs). This new functionality enables manufacturers ranging from IoT devices/hardware to household appliances to industrial assets to deliver differentiated product offerings.

“This is a groundbreaking phase for the industry. By bringing intelligence to endpoints, sensors and equipment at the network edge, device and equipment manufacturers, along with the owners of these assets, can now have AI-driven intelligence on a low-cost piece of hardware. Training and running a model on an MCU has not been seen before in the industry,” said Yasser Khan, CEO, ONE Tech. “AI is shrinking and can run these advanced algorithms. It allows AI and predictive maintenance to move from MPU-based devices to MCU-based devices, with a small footprint and significantly lower price point. Companies in industries such as manufacturing needed this technology yesterday. It is the next evolution of IoT and AI at the network edge.”

MicroAI is designed as a machine learning multi-dimensional behavioral algorithm that runs recursive analysis. It is used by enterprises and OEMs as a tool to achieve deeper insights into the behavior of devices, machines and processes within their organizations. MicroAI lives directly on a targeted machine or IoT device and allows enterprises to reduce unexpected downtimes associated with maintenance issues and cyberattacks.