• Introducing Arm’s AI Virtual Tech Sessions for Software Developers

    Mary Bennion
    Mary Bennion

    Turn back the clocks three months and the events industry was in turmoil. Leading industry events across the globe were being canceled or scaled-down significantly, and the next opportunity of a face-to-face event was very uncertain. But now, our industry…

    • 15 days ago
    • Processors
    • Machine Learning IP blog
  • Caffe model used for CMSIS-NN GRU example

    Seema
    Seema

    Hi,

    Is it possible to provide the caffe model (.protext and .caffemodel) for "CMSIS/NN/Examples/ARM/arm_nn_examples/gru/", similar to the one provided for cifar10 example under https://github.com/ARM-software/ML-examples/tree/master/cmsisnn…

    • 2 months ago
    • Community Help
    • Community Help forum
  • Arm Cortex-M55 and Ethos-U55 Processors: Extending the Performance of Arm’s ML Portfolio for Endpoint Devices

    Thomas Lorenser
    Thomas Lorenser

    The advent of artificial intelligence (AI) is creating a wealth of opportunities ranging from better user experiences with consumer products to automated quality control on factory floors – and this list of AI-driven use-cases is growing exponentially…

    • 4 months ago
    • Processors
    • Processors blog
  • The Future for Voice is On-device: Q&A with Arm Innovator & CTO of Snips, Joseph Dureau

    Alessandro Grande
    Alessandro Grande

    We live in a world where voice-based products have significantly changed the way we communicate with technology. It is predicted that smart assistant devices in the home will grow by 1.6 billion units in 2022 in the US alone. Soon, you will be able to…

    • 11 months ago
    • Innovation
    • Innovation blog
  • Accelerating innovation: transforming businesses through smart sensing and AI

    Chris Shore
    Chris Shore

    The way we interact with technology is changing through the power of artificial intelligence (AI) and machine learning (ML). New ML platforms such as voice assistants and smart wearables are revolutionizing how people and technology interact. ML models…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • Why Google’s TF Lite Micro Makes ML on Arm Even Easier

    Hellen Norman
    Hellen Norman

    Yesterday, at Google I/O, Google announced that they are partnering with Arm to develop TensorFlow Lite Micro and that uTensor – an inference library based on Arm Mbed and TensorFlow –  is becoming part of this new project. (See the Mbed b…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • Machine Vision on an Arm Cortex-M Processor

    Rachel Cracknell
    Rachel Cracknell

    Hear from Arm Innovator, Kwabena Agyeman to learn how to do low-power deep learning on the OpenMV Cam H7.

    • https://www.youtube.com/watch?v=PpnaNeQ0DSE&t=25s
    • View
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    • over 1 year ago
    • Innovation
    • Videos & Files
  • After Embedded World: What’s Next for Embedded ML?

    Dylan Zika
    Dylan Zika

    There’s no denying that Embedded World (EW) is a whirlwind – 1000 exhibits, 35,000 visitors and over 2,000 industry participants – but now that it’s all over and the dust has settled, I wanted to take a moment to reflect on its impact, and consider the…

    • over 1 year ago
    • System
    • Embedded blog
  • Innovator Pavilion at Arm TechCon

    Rachel Cracknell
    Rachel Cracknell
    October 16, 2018 08:00 AM to October 18, 2018 01:00 PM Coordinated Universal Time
    San Jose Convention Center
    Join us at Arm TechCon for machine learning workshops and tech talks, an interactive drone-cage plus the opportunity to explore the latest developments from the Arm Innovators Here's what you can expect: 1. The Innovator Pavilion The Innovator...
    • over 1 year ago
    • Innovation
    • Innovation events
  • Deploying a Convolutional Neural Network on Cortex-M with CMSIS-NN

    odinlmshen
    odinlmshen

    Overview

    This blog is for embedded software developers who want to apply Machine Learning (ML) on Arm Cortex-M. We will show you how to deploy a trained Neural Network (NN) model (using Caffe as an example) on those constrained platforms with the Arm…

    • over 1 year ago
    • Processors
    • Processors blog
  • Showcasing Arm-based IoT Solutions at Google Next '18

    Rod Crawford
    Rod Crawford

    The Google Cloud Next ‘18 conference in San Francisco is less than a week away, and with the release of Google Cloud IoT Core managed service earlier this year, there is likely to be a strong emphasis on securely connecting IoT devices at potentially…

    • over 1 year ago
    • Internet of Things
    • Internet of Things
  • Machine Learning Silicon Isn’t One Size Fits All

    Freddi Jeffries
    Freddi Jeffries

    These days, just about everyone in the technology industry is talking Artificial Intelligence (AI) and Machine Learning (ML). There’s a huge amount of excitement and a rush to be the first to get it right. What you might have noticed in this dialogue…

    • over 2 years ago
    • Processors
    • Processors blog
  • Teaching Scratchy to Walk with Neural Networks

    Hellen Norman
    Hellen Norman

    What would you do with a Cortex-M4, a motor or two, some lego and a few cable ties? Well, if you’re Sebastian Förster, an embedded systems developer based in Germany, the answer is a small, four-legged robot that you’d teach to walk using neural networks…

    • over 2 years ago
    • Processors
    • Processors blog
  • New CMSIS-NN Neural Network Kernels Boost Efficiency in Microcontrollers by ~5x

    Vikas Chandra
    Vikas Chandra

    Neural Networks are becoming increasingly popular in always-on IoT edge devices performing data analytics right at the source, reducing latency as well as energy consumption for data communication. CMSIS-NN is a collection of efficient neural network…

    • over 2 years ago
    • Processors
    • Processors blog
  • How to Achieve High-Accuracy Keyword Spotting on Cortex-M Processors

    Vikas Chandra
    Vikas Chandra

    It IS possible to optimize neural network architectures to fit within the memory and compute constraints of microcontrollers – without sacrificing accuracy. We explain how, and explore the potential of depthwise separable convolutional neural networks…

    • over 2 years ago
    • Processors
    • Processors blog
  • Embedded machine learning in asthma inhalers changes lives

    Peter Ferguson
    Peter Ferguson

    My son has had asthma since he was three years old. Ben is now 10, and during that time, it’s been fascinating to experience the challenges associated with asthma technique and medication from a parent’s perspective.  

    For example: it’s advised…

    • over 2 years ago
    • System
    • Embedded blog
  • Machine learning in low-power devices brings sound recognition to the smart home market

    Thomas Lorenser
    Thomas Lorenser

    The Smart Home market is now at an inflection point. Early devices in the market were connected to the internet but were typically single-function, often lacking connectivity to other devices and with closed APIs, denying the user the ability to design…

    • over 3 years ago
    • Processors
    • Processors blog
  • White Paper: DSP capabilities of Cortex-M4 and Cortex-M7

    Thomas Lorenser
    Thomas Lorenser

    As we see the spectacular growth in the number of autonomous, intelligent, and connected devices (i.e. smart embedded, the Internet of Things, or IoT), which are required to operate in a low-power environment, manufacturers are increasingly turning to…

    • over 3 years ago
    • Processors
    • Processors blog