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Artificial intelligence (AI) is opening up a whole new universe of possibilities, from virtual assistants to self-driving cars, automated factory equipment, and voice recognition in consumer devices. But the computational horsepower to enable these possibilities is extreme, and requires expensive, power-hungry, and big processors. In embedded devices, this functionality isn't really available–embedded microcontrollers are too slow to effectively process images and make decisions in real time.

Enter Maxim's new line of Artificial Intelligence microcontrollers. They run AI inferences hundreds of times faster and lower energy than other embedded solutions. Our built in neural network hardware accelerator practically eliminates the energy spent on audio and image AI inferences. Now small machines like thermostats, smart watches, and cameras can deliver the promise of AI—embedded devices can see and hear like never before.

Get started today with the MAX78000FTHR for only $25.


Getting Started with the MAX78000EVKIT
13:48 October 05, 2020

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AI Camera in Action

Featured Products

MAX78000EVKIT Evaluation Kit for the MAX78000

The MAX78000 evaluation kit (EV kit) provides a platform for leveraging the capabilities of the ...
  • Power Accumulator with Dedicated Display to Track Device Power over Time
  • Onboard Digital Microphone
  • Onboard Accelerometer/Gyroscope
  • SWD JTAG 10-Pin Header
  • RISC-V Coprocessor JTAG 10-Pin Header
  • 16M-Byte QSPI Flash
  • Select GPIOs Accessible through 0.1in Headers
  • Four ADC Inputs with Optional AA Filter
  • Touch-Enabled, 3.5in, 320 x 240 Color TFT Display
  • UART Access through USB Bridge
  • QSPI Memory Access through USB Bridge
  • All IC Power Rails May Be Isolated by Jumpers for Individual Current Measurements
  • Two General-Purpose LEDs and Two General- Purpose Pushbutton Switches

MAX78000 Artificial Intelligence Microcontroller with Ultra-Low-Power Convolutional Neural Network Accelerator

Artificial intelligence (AI) requires extreme computational horsepower, but Maxim is cutting the...
  • Dual-Core Ultra-Low-Power Microcontroller
    • Arm Cortex-M4 Processor with FPU up to 100MHz
    • 512KB Flash and 128KB SRAM
    • Optimized Performance with 16KB Instruction Cache
    • Optional Error Correction Code (ECC-SEC-DED) for SRAM
    • 32-Bit RISC-V Coprocessor up to 60MHz
    • Up to 52 General-Purpose I/O Pins
    • 12-Bit Parallel Camera Interface
    • One I2S Master/Slave for Digital Audio Interface
  • Neural Network Accelerator
    • Highly Optimized for Deep Convolutional Neural Networks
    • 442k 8-Bit Weight Capacity with 1,2,4,8-Bit Weights
    • Programmable Input Image Size up to 1024 x 1024 pixels
    • Programmable Network Depth up to 64 Layers
    • Programmable per Layer Network Channel Widths up to 1024 Channels
    • 1 and 2 Dimensional Convolution Processing
    • Streaming Mode
    • Flexibility to Support Other Network Types, Including MLP and Recurrent Neural Networks
  • Power Management Maximizes Operating Time for Battery Applications
    • Integrated Single-Inductor Multiple-Output (SIMO) Switch-Mode Power Supply (SMPS)
    • 2.0V to 3.6V SIMO Supply Voltage Range
    • Dynamic Voltage Scaling Minimizes Active Core Power Consumption
    • 22.2µA/MHz While Loop Execution at 3.0V from Cache (CM4 Only)
    • Selectable SRAM Retention in Low-Power Modes with Real-Time Clock (RTC) Enabled
  • Security and Integrity
    • Available Secure Boot
    • AES 128/192/256 Hardware Acceleration Engine
    • True Random Number Generator (TRNG) Seed Generator
Printable Data Sheet Evaluation Kit

Design Tools

  Maxim Integrated artificial intelligence GitHub repository.

Featured Boards

MAX78000EVKIT Evaluation Kit for the <a href="/en/products/MAX78000">MAX78000</a>

MAX78000EVKIT Evaluation Kit for the MAX78000

The MAX78000 evaluation kit (EV kit) provides a platform for leveraging the capabilities of the ...
  • Power Accumulator with Dedicated Display to Track Device Power over Time
  • Onboard Digital Microphone
  • Onboard Accelerometer/Gyroscope
  • SWD JTAG 10-Pin Header
  • RISC-V Coprocessor JTAG 10-Pin Header
  • 16M-Byte QSPI Flash
  • Select GPIOs Accessible through 0.1in Headers
  • Four ADC Inputs with Optional AA Filter
  • Touch-Enabled, 3.5in, 320 x 240 Color TFT Display
  • UART Access through USB Bridge
  • QSPI Memory Access through USB Bridge
  • All IC Power Rails May Be Isolated by Jumpers for Individual Current Measurements
  • Two General-Purpose LEDs and Two General- Purpose Pushbutton Switches

Featured Reference Designs

MAXREFDES178 and Artificial Intelligence Applications

This document describes the cube camera development platform based on the MAX78000 and MAX32666.