{"product_id":"sparkfun-maxim-integrated-max78000-ultra-low-power-arm-cortex-m4-processor","title":"SparkFun Maxim Integrated MAX78000 Ultra-Low-Power Arm Cortex-M4 Processor","description":"\u003cp\u003eMaxim Integrated MAX78000 Ultra-Low-Power Arm Cortex-M4 Processor is used for Artificial intelligence (AI) applications that require extreme computational horsepower. The MAX78000 is built to enable neural networks and combines energy-efficient AI processing with ultra-low-power microcontrollers. The hardware-based convolutional neural network (CNN) accelerator enables battery-powered applications to execute AI inferences while spending only microjoules of energy.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eFeatures:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eDual-Core Ultra-Low-Power Microcontroller \u003cul\u003e \u003cli\u003eArm Cortex-M4 Processor with FPU Up to 100MHz\u003c\/li\u003e \u003cli\u003e512KB Flash and 128KB SRAM\u003c\/li\u003e \u003cli\u003eOptimized Performance with 16KB Instruction Cache\u003c\/li\u003e \u003cli\u003eOptional Error Correction Code (ECC-SEC-DED) for SRAM\u003c\/li\u003e \u003cli\u003e32-Bit RISC-V Coprocessor up to 60MHz\u003c\/li\u003e \u003cli\u003eUp to 52 General-Purpose I\/O Pins\u003c\/li\u003e \u003cli\u003e12-Bit Parallel Camera Interface\u003c\/li\u003e \u003cli\u003eOne I2S Master\/Slave for Digital Audio Interface\u003c\/li\u003e \u003c\/ul\u003e\n\u003c\/li\u003e \u003cli\u003eNeural Network Accelerator \u003cul\u003e \u003cli\u003eHighly Optimized for Deep Convolutional Neural Networks\u003c\/li\u003e \u003cli\u003e442k 8bit Weight Capacity with 1,2,4,8-bit Weights\u003c\/li\u003e \u003cli\u003eProgrammable Input Image Size up to 1024 x 1024 pixels\u003c\/li\u003e \u003cli\u003eProgrammable Network Depth up to 64 Layers\u003c\/li\u003e \u003cli\u003eProgrammable per Layer Network Channel Widths up to 1024 Channels\u003c\/li\u003e \u003cli\u003e1 and 2 Dimensional Convolution Processing\u003c\/li\u003e \u003cli\u003eStreaming Mode\u003c\/li\u003e \u003cli\u003eFlexibility to Support Other Network Types, Including MLP and Recurrent Neural Networks\u003c\/li\u003e \u003c\/ul\u003e\n\u003c\/li\u003e \u003cli\u003ePower Management Maximizes Operating Time for Battery Applications \u003cul\u003e \u003cli\u003eIntegrated Single-Inductor Multiple-Output (SIMO) Switch-Mode Power Supply (SMPS)\u003c\/li\u003e \u003cli\u003e2.0V to 3.6V SIMO Supply Voltage Range\u003c\/li\u003e \u003cli\u003eDynamic Voltage Scaling Minimizes Active Core Power Consumption\u003c\/li\u003e \u003cli\u003e22.2μA\/MHz While Loop Execution at 3.0V from Cache (CM4 only)\u003c\/li\u003e \u003cli\u003eSelectable SRAM Retention in Low-Power Modes with Real-Time Clock (RTC) Enabled\u003c\/li\u003e \u003c\/ul\u003e\n\u003c\/li\u003e \u003cli\u003eSecurity and Integrity \u003cul\u003e \u003cli\u003eAvailable Secure Boot\u003c\/li\u003e \u003cli\u003eAES 128\/192\/256 Hardware Acceleration Engine\u003c\/li\u003e \u003cli\u003eTrue Random Number Generator (TRNG) Seed Generator\u003c\/li\u003e \u003c\/ul\u003e\n\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eDocuments:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003e\u003ca href=\"https:\/\/www.mouser.com\/datasheet\/2\/256\/MAX78000-1890320.pdf\"\u003eDatasheet\u003c\/a\u003e\u003c\/li\u003e \u003c\/ul\u003e","brand":"sparkfun-10","offers":[{"title":"Default Title","offer_id":40331940888661,"sku":"17326:COM-17326:spark","price":3650.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1034\/1611\/products\/17326-Maxim_Integrated_MAX78000_Ultra-Low-Power_Arm_Cortex-M4_Processor.jpg?v=1663614928","url":"https:\/\/www.tanotis.com\/products\/sparkfun-maxim-integrated-max78000-ultra-low-power-arm-cortex-m4-processor","provider":"Tanotis","version":"1.0","type":"link"}