• BFloat16 processing for Neural Networks on Armv8-A

    Nigel Stephens
    Nigel Stephens

    Neural Networks are a key component of Machine Learning (ML) applications. Project Trillium, Arm’s heterogeneous ML platform, provides a range of technologies in this field, including instructions that accelerate such applications running on CPUs based…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • AI Basics: Training vs Inference – What’s the Difference?

    Hellen Norman
    Hellen Norman

    Imagine you have a dog. Let’s call her Bingo. You’d like Bingo to fetch her leash whenever you say, “Walkies!” So what do you do? You train her. Maybe you wave the leash and say, “Walkies!” Next time, you might repeat the command word, while pointing…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • Powering the Edge: How Will YOU Do ML?

    Dylan Zika
    Dylan Zika

    The Arm ML processor, designed to deliver the highest throughput and most efficient processing for on-device inference, is based on a brand new architecture. Arm's Dylan Zika explains how the development team set about defining requirements and building…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • What’s the best IP for machine learning workloads – CPU, GPU or NPU?

    Sylwester Bala
    Sylwester Bala

    At Arm we’re often asked by partners, developers and other interested parties within the complex and huge machine learning (ML) ecosystem which processors are best at performing specific ML actions on different devices. As described in this Arm…

    • over 1 year ago
    • Processors
    • Processors blog
  • New online training course - Machine Learning using Arm

    NickT
    NickT

    We are very pleased to announce a new online training topic - Machine Learning using Arm.

    About the course

    This training topic covers essential information on Arm’s IP solutions for optimizing Machine Learning (ML) applications for Arm hardware. The…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • Arm Ethos-N ML Inference Processors: Powering Exciting User Experiences on Edge Devices

    Ian Forsyth
    Ian Forsyth

    OK. Quick survey: How many connected devices do you own?

    Whether you’re a gadget addict or just an average Josephine, I’m not sticking my neck out too far if I guess that you own more today than you did five years ago. From smartphones and tablets to…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • New Arm Cortex-A77 CPU continues path towards compute performance leadership

    Stefan Rosinger
    Stefan Rosinger

    Following the great success of last year’s Arm Cortex-A76 CPU, we are excited to launch the third generation DynamIQ ‘big’ core Arm Cortex-A77 CPU. It is the second in the family of high-performance, highly efficient CPU products built…

    • over 1 year ago
    • Processors
    • Processors blog
  • Save up to 60%, register for Arm TechCon 2019!

    Katie Ontiveros
    Katie Ontiveros

    In 2016, SoftBank founder and CEO Masayoshi Son took to the Arm TechCon stage to paint a bold vision of a world of a trillion connected devices. It’s a goal the industry has worked feverishly toward ever since.

    What earth-shaking insights await…

    • over 1 year ago
    • Processors
    • Processors 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
  • Technical Webinar: ML on Arm Cortex-A FAQ

    Jason Andrews
    Jason Andrews

    If you missed the recent technical webinar, Machine Learning on Arm Cortex-A –  it's now available on demand. This showed how developers can move neural network (NN) workloads around an SoC quickly and easily using Arm NN, facilitating software portability…

    • over 1 year ago
    • Processors
    • Processors blog
  • How Arm NN is improving the ML experience on over 250 million devices

    Ray Hwang
    Ray Hwang

    In September 2018, Arm donated Arm NN software to Linaro as part of its Machine Intelligence Initiative. The donation was significant, with Arm NN being the product of 100-man years of effort. The uptake of Arm NN has already been huge, with our own estimations…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • Living on the Edge: Why On-Device ML is Here to Stay

    Hellen Norman
    Hellen Norman

    It’s no secret that data is big business – and there’s no shortage of it. Google claims that, on average, it now processes over 40,000 search queries every second, which equates to over 3.5 billion searches per day, worldwide – or 1.2 trillion searches…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • AI vs ML – What’s the Difference?

    Hellen Norman
    Hellen Norman

    Nowadays you can’t turn on the news without hearing talk of artificial intelligence (AI) and machine learning (ML) – they’re the buzzwords that just won’t die. And with good reason: they’re already transforming our lives in areas as disparate as finance…

    • over 1 year ago
    • Processors
    • Processors blog
  • Be the next speaker at Arm TechCon 2019

    Elan Tanzer
    Elan Tanzer

    Arm is pleased to announce the opening of the Call for Papers  for its international event Arm TechCon taking place October 8-10, 2019. 

    Hosted at San Jose Convention Center in San Jose, CA, Arm TechCon 2019 will welcome thousands of people from all around…

    • over 1 year ago
    • Processors
    • Processors blog
  • Getting started with Arm Helium: The new vector extension for the M-Profile Architecture

    Simon Craske
    Simon Craske

    Arm has announced the latest version of the Armv8-M architecture, known as Armv8.1-M, including the new M-Profile Vector Extension (MVE). The vector extension brings up to 15 times performance uplift to machine learning (ML) functions, and up to 5 times uplift…

    • over 1 year ago
    • Processors
    • Processors blog
  • How machine learning at the edge is helping to save Rudolph this Christmas

    Jack Melling
    Jack Melling

    Obviously, Father Christmas – or Santa Claus or whatever else he’s known as – is real. Whoever tells you otherwise is either misinformed or simply a liar. However, he can only deliver all of the presents for children around the world in just one evening…

    • over 1 year ago
    • Processors
    • Processors blog
  • Arm-based Innovations from Chip to Cloud – See Us at Arm TechCon 2018

    Desiree Joplin
    Desiree Joplin

    Arm TechCon 2018 is nearly here, taking place October 16 – 18. Visit the Arm booth, #525, to see demonstrations from Arm and a few of our ecosystem partners. Together we are creating better possibilities and want to share the latest innovations from chip…

    • over 2 years ago
    • Processors
    • Processors blog
  • New CryptoCell Security IP reduces Time-to-Market and meets Chinese Crypto Standards

    Udi Maor
    Udi Maor

    Over the past few years security has become a prominent issue for our partners and their customers. However, OEMs, silicon providers (SiPs) and developers still encounter a number of challenges - as I discussed in my previous blog outlining the Trusted…

    • over 2 years ago
    • Processors
    • Processors blog
  • Dealing with Security Threats: Trusted Execution Challenges in Mobile and Beyond

    Udi Maor
    Udi Maor

    As more people use their mobile devices for a range of everyday online tasks, from shopping to banking, the security threat to smartphones and other connected devices is only likely to increase. In fact, according to 2017 research by Dimensional Rese…

    • over 2 years ago
    • Processors
    • Processors blog
  • Arm Always-On Mobile Face Unlock Achieves Over 98% Accuracy

    Konstantinos Monachopoulos
    Konstantinos Monachopoulos

    Face verification has long been considered one of the greatest challenges in the field of computer vision, so we're proud to have designed a face verification system that achieves 98.36% accuracy on the Labeled Faces in the Wild database. It’s a real…

    • over 2 years ago
    • Processors
    • Processors blog
  • Arm DynamIQ: Expanding the possibilities for artificial intelligence

    Nandan Nayampally
    Nandan Nayampally

    In the past four years alone, we have witnessed an amazing expansion of compute. Go inside the numbers of the recent 100 billion Arm-based chips milestone and you will see that 50 billion were shipped by our partners from 2013 to 2017, which demonstrates…

    • over 3 years ago
    • Processors
    • Processors blog
  • 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 2 years ago
    • Processors
    • Processors blog
  • Deploy State-of-the-Art Deep Learning on Edge Devices in Minutes

    Amir Alush
    Amir Alush

    Deploying advanced deep learning algorithms on edge devices – especially for computer vision applications like autonomous vehicles and IoT – requires special capabilities. At Brodmann17, our mission is to create practical, neural-network based…

    • over 2 years ago
    • Processors
    • Processors blog
  • Open standards: Enabling high performance infrastructure systems with CCIX

    Jim Wallace
    Jim Wallace

    Authors: Kevin Yee, Cadence, and Jim Wallace, Arm

    Unless you’re a hermit or have been living off the grid for the last few years, you can’t help but know about the explosion in big data – the increase in data size and networking bandwidth due to video…

    • over 2 years ago
    • Processors
    • Processors blog
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