• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

Microcontroller Tips

Microcontroller engineering resources, new microcontroller products and electronics engineering news

  • Products
    • 8-bit
    • 16-bit
    • 32-bit
    • 64-bit
  • Applications
    • 5G
    • Automotive
    • Connectivity
    • Consumer Electronics
    • EV Engineering
    • Industrial
    • IoT
    • Medical
    • Security
    • Telecommunications
    • Wearables
    • Wireless
  • Learn
    • eBooks / Tech Tips
    • EE Training Days
    • FAQs
    • Learning Center
    • Tech Toolboxes
    • Webinars/Digital Events
  • Resources
    • Design Guide Library
    • DesignFast
    • LEAP Awards
    • Podcasts
    • White Papers
  • Videos
    • EE Videos & Interviews
    • Teardown Videos
  • EE Forums
    • EDABoard.com
    • Electro-Tech-Online.com
  • Engineering Training Days
  • Advertise
  • Subscribe

Maxim captures LEAP Award in Embedded Computing

October 14, 2021 By Aimee Kalnoskas Leave a Comment

Executing AI inferences at less than 1/100th the energy of other embedded solutions to dramatically improve run-time for battery-powered AI applications, helped earn Maxim Integrated’s MAX78000 low-power, neural network, accelerated MCU a LEAP Award in Embedded Computing.

LEAP AwardsMore than 100 entries were received for the annual competition which celebrates the most innovative and forward-thinking products serving the design engineering space. This year’s winners were chosen by an independent judging panel of 12 engineering and academic professionals.

The MAX78000’s 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 FPGAs or GPUs.

By integrating a dedicated neural network accelerator with a pair of microcontroller cores, the MAX78000 overcomes poor latency and energy performance typical of other low-power MCUs used to implement simple neural networks by enabling machines to see and hear complex patterns with local, low-power AI processing that executes in real-time. Applications such as machine vision, audio and facial recognition can be made more efficient since the MAX78000 can execute inferences at less than 1/100th energy required by a microcontroller. At the heart of the MAX78000 is specialized hardware designed to minimize the energy consumption and latency of convolutional neural networks (CNN). This hardware runs with minimal intervention from any microcontroller core, making operation extremely streamlined. Energy and time are only used for the mathematical operations that implement a CNN. To get data from the external world into the CNN engine efficiently, customers can use one of the two integrated microcontroller cores: the ultra-low power Arm Cortex-M4 core, or the even lower power RISC-V core.

We’ve cut the power cord for AI at the edge,” said Kris Ardis, executive director for the Micros, Security and Software Business Unit at Maxim Integrated. “Battery-powered IoT devices can now do much more than just simple keyword spotting. We’ve changed the game in the typical power, latency and cost tradeoff, and we’re excited to see a new universe of applications that this innovative technology enables.”

The judges commented: “Very impressed by executing AI inferences at less than 1/100th the energy of other embedded solutions, improving run-time for battery-powered AI applications.” Congratulations!

You may also like:


  • Measuring the performance of AI and its impact on society…
  • green artificial intelligence
    How “green” is your Artificial Intelligence?
  • artificial intelligence benchmarks
    Benchmarking AI from the edge to the cloud
  • artificial intelligence
    Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing

  • The AI-enabled MCUs: Basic design venues

Filed Under: Accelerators, Applications, Artificial intelligence, Embedded, Featured, LEAP, microcontroller, Neural Networking Tagged With: maximintegrated

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Primary Sidebar

Featured Contributions

Five challenges for developing next-generation ADAS and autonomous vehicles

Securing IoT devices against quantum computing risks

RISC-V implementation strategies for certification of safety-critical systems

What’s new with Matter: how Matter 1.4 is reshaping interoperability and energy management

Edge AI: Revolutionizing real-time data processing and automation

More Featured Contributions

EE TECH TOOLBOX

“ee
Tech Toolbox: Internet of Things
Explore practical strategies for minimizing attack surfaces, managing memory efficiently, and securing firmware. Download now to ensure your IoT implementations remain secure, efficient, and future-ready.

EE Learning Center

EE Learning Center

EE ENGINEERING TRAINING DAYS

engineering
“bills
“microcontroller
EXPAND YOUR KNOWLEDGE AND STAY CONNECTED
Get the latest info on technologies, tools and strategies for EE professionals.

RSS Current EDABoard.com discussions

  • How to calculate Gate Driver's propagation delay time?
  • Bidirectional data bus
  • Editing posts
  • avoiding mixer compression when acting as a phase detector
  • Crude Powerline FSK comms literally shorts the power bus at a certain frequency?

RSS Current Electro-Tech-Online.com Discussions

  • RS485 bus: common ground wire needed or not?
  • Kawai KDP 80 Electronic Piano Dead
  • Good Eats
  • What part is this marked .AC ?
  • Photo interrupter Connections

DesignFast

Design Fast Logo
Component Selection Made Simple.

Try it Today
design fast globle

Footer

Microcontroller Tips

EE World Online Network

  • 5G Technology World
  • EE World Online
  • Engineers Garage
  • Analog IC Tips
  • Battery Power Tips
  • Connector Tips
  • DesignFast
  • EDA Board Forums
  • Electro Tech Online Forums
  • EV Engineering
  • Power Electronic Tips
  • Sensor Tips
  • Test and Measurement Tips

Microcontroller Tips

  • Subscribe to our newsletter
  • Advertise with us
  • Contact us
  • About us

Copyright © 2025 · WTWH Media LLC and its licensors. All rights reserved.
The material on this site may not be reproduced, distributed, transmitted, cached or otherwise used, except with the prior written permission of WTWH Media.

Privacy Policy