Maxim Integrated MAX78000 AI MCU w/ Neural Network Accelerator | Featured Product Spotlight
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Maxim Integrated MAX78000 AI MCU w/ Neural Network Accelerator
Maxim’s MAX78000 is a new AI microcontroller built to enable neural networks to execute at ultra-low powers at the edge by combining AI processing with Maxim’s ultra-low power microcontrollers.
A hardware-based convolutional neural network accelerator enables battery-powered applications to execute AI inferences while spending only microjoules of energy. The MAX78000 is an advanced system-on-chip featuring an Arm® Cortex®-M4 with FPU CPU and a 32-bit RISC-V coprocessor for efficient system control. Multiple high-speed and low-power communications interfaces are supported, including I2S and a parallel camera interface.
The CNN engine has a weight storage memory of 442 kilobytes, a data memory of 512 kilobytes, and can support 1-, 2-, 4-, and 8-bit weights for networks of up to 3.5 million weights. The CNN weight memory is SRAM-based, so AI network updates can be made on the fly.
The CNN architecture is flexible, allowing networks to be trained in conventional toolsets like PyTorch and TensorFlow®, then converted for execution on the MAX78000 using tools provided by Maxim.
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