Artificial intelligence (AI) requires extreme computational horsepower, but Maxim is cutting the power cord from AI insights. The MAX78002 is a new breed of AI microcontroller built to enable neural networks to execute at ultra-low power and live at the edge of the IoT. This product combines the most energy-efficient AI processing with Maxim's proven ultra-low power microcontrollers. Our hardware-based convolutional neural network (CNN) accelerator enables battery-powered applications to execute AI inferences while spending only millijoules of energy.The MAX78002 is an advanced system-on-chip featuring an Arm®Cortex®-M4 with FPU CPU for efficient system control with an ultra-low-power deep neural network accelerator. The CNN engine has a weight storage memory of 2MB, and can support 1-, 2-, 4-, and 8-bit weights (supporting networks of up to 16 million 1-bit weights). The CNN weight memory is SRAM-based, so AI network updates can be made on the fly. The CNN engine also has 1.3MB of data memory. The CNN architecture is highly flexible, allowing networks to be trained in conventional toolsets like PyTorch®and TensorFlow®, then converted for execution on the MAX78002 using tools provided by Analog Devices.In addition to the memory in the CNN engine, the MAX78002 has large on-chip system memory for the microcontroller core, with 2.5MB flash and up to 384KB SRAM. Multiple high-speed and low-power communications interfaces are supported, including I2S, MIPI CSI-2®, parallel camera interface (PCIF) and SD3.0/SDIO3.0/eMMC4.51 secure digital..The device is available in a 144-pin CSBGA (12mm x 12mm, 0.8mm pitch) package.ApplicationsFactory Robot and Drone NavigationIndustrial Sensors and Process ControlIn-line Quality Assurance SystemsSmart Security CamerasPortable Medical Diagnostics Equipment