Company: Maxim Integrated
Category: Internet of Things Product of the Year
The MAX78000 low-power neural network accelerated microcontroller from Maxim Integrated moves AI to the edge without performance compromises in battery-powered IoT devices. Executing AI inferences at less than 1/100th the energy of other embedded solutions dramatically improves run-time for battery-powered AI applications, while enabling complex new AI use cases previously considered impossible. These power improvements come with no compromise in latency or cost: the MAX78000 executes inferences 100x faster than software solutions running on low power microcontrollers, at a fraction of the cost of FPGA or GPU solutions.
AI technology allows machines to see and hear, making sense of the world in ways that were previously impractical. In the past, bringing AI inferences to the edge meant sending camera and other data to the cloud to execute an inference, then sending an answer back to the edge. This architecture is very challenging for edge applications due to poor latency and energy performance. As an alternative, microcontrollers can be used to implement simple neural networks; however, latency suffers and only simple tasks can be run at the edge. the MAX78000 overcomes these limitations, enabling machines to see and hear complex patterns with local, low-power AI processing that executes in real-time.