• Introducing the Arm Cortex-X Custom Program

    Stefan Rosinger
    Stefan Rosinger
    Read this introduction to the Arm Cortex-X Custom Program, outlining what the new program entails and providing details about the new Arm Cortex-X1 CPU which is part of the program.
    • May 26, 2020
  • Arm Mali-G78 GPU: Delivering True Immersive Entertainment on Mobile

    Stephen Barton
    Stephen Barton
    This blog goes through the key features and benefits of the Arm Mali-G78 GPU.
    • May 26, 2020
  • Even Faster Convolutions: Winograd Convolutions meet Integer Quantization and Architecture Search

    Javier Fernandez-Marques
    Javier Fernandez-Marques
    The design of deep learning (DL) neural network (NN) models targeting mobile devices has advanced rapidly over the last couple of years. Important computer vision tasks have led a community-wide transition…
    • April 29, 2020
  • SCALE-Sim: A cycle-accurate NPU simulator for your research experiments

    Paul Whatmough
    Paul Whatmough
    Architecture simulators are a key tool in the computer architecture toolbox. They provide a convenient model of real hardware at a level of abstraction that makes them faster and more flexible than low…
    • April 21, 2020
  • Train a TinyML model to recognize sounds that uses 23 kB of RAM

    Mary Bennion
    Mary Bennion
    Read about how to train a TinyML model to recognize sounds.
    • April 6, 2020
  • Total Compute: Providing the Compute Performance for Future Digital Immersion

    Ian Smythe
    Ian Smythe
    Introducing Total Compute and how it will provide the necessary performance for full digital immersion on next-generation devices.
    • April 6, 2020
  • Raspberry Pi for Computer Vision Review: CV for the Masses

    Karl Fezer
    Karl Fezer
    Read a review of Raspberry Pi for Computer Vision.
    • March 19, 2020
  • TinyML Review: The Next Big Thing

    Karl Fezer
    Karl Fezer
    I am reviewing a book on ML every month, starting with TinyML.
    • March 4, 2020
  • TinyML Applications Require New Network Architectures

    Urmish Thakker
    Urmish Thakker
    Researchers have studied neural network compression for quite some time. However, the need for always on compute has led to a recent trend towards executing these applications on even smaller IoT devices…
    • February 13, 2020
  • Arm Cortex-M55 and Ethos-U55 Processors: Extending the Performance of Arm’s ML Portfolio for Endpoint Devices

    Thomas Lorenser
    Thomas Lorenser
    The new Arm Cortex-M55 and Ethos-U55 processors significantly increase machine learning and signal processing performance efficiently for the next generation of AI-capable IoT devices. Read this blog to…
    • February 10, 2020
  • A Year of Discovery: Arm Research 2019

    Rhiannon Burleigh
    Rhiannon Burleigh
    2019 was yet another year of incredible technology discovery for Arm Research. Inspiring advancements have been made across the research community, and Arm Research has contributed to this. Our teams have…
    • January 6, 2020
  • An Introduction to Machine Learning on Mobile

    Pablo Hernandez Almudi
    Pablo Hernandez Almudi
    A blog about machine Learning that discuss some ideas and experiences that might get you interested in creating your own ML app.
    • December 16, 2019
  • Sparse Architecture Search (SpArSe): Democratizing and Enabling TinyML on Arm M-class

    Igor Fedorov
    Igor Fedorov
    Microcontrollers (MCUs) are the ubiquitous computer of our time, being tiny, cheap, and low power. Often powered by using solar cell, they are in your watch, fridge, and your car will contain about thirty…
    • December 2, 2019
  • Data Science Africa: Changing Lives Through Technology

    Karl Fezer
    Karl Fezer
    Data Science Africa (DSA) helps people and communities use applied ML and data science to tackle problems that directly affect them
    • November 29, 2019
  • Skipping RNN State-updates Without Retraining the Original Model

    Urmish Thakker
    Urmish Thakker
    Recurrent Neural Networks (RNNs) are used in tasks where the strict order of the input conveys certain information, and so are classed as an important algorithm. These networks are being deployed on resource…
    • November 25, 2019
  • Collaboration Case Study: Machine Learning Hardware with Harvard University

    Paul Whatmough
    Paul Whatmough
    University engagements play a significant role in our partnerships at Arm Research, helping us extend our reach and build understanding of technologies as they emerge. Harvard University is one of those…
    • November 18, 2019
  • Arm AIoT Dev Summit: 10 things you don’t want to miss

    Alessandro Grande
    Alessandro Grande
    Join the first Arm AIoT Dev Summit, 2 - 3 December in Mountain View, California to learn about today's breakthrough technologies in AI, IoT and robotics. Read this blog to discover what to expect from…
    • November 6, 2019
  • Using Arm v8 for Vision at the Edge

    Mary Bennion
    Mary Bennion
    Read about the work to maximize performance using the Arm v8 architecture. Specifically, by taking advantage of the NEON (DSP instruction) and a Floating-Point Unit (FPU).
    • October 31, 2019
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