• Accelerating Edge Computing with Arm Ethos-N78 and Artisan Physical IP on GLOBALFOUNDRIES’ 12LP+ Specialty Solution

    Lakshmi Jain
    Lakshmi Jain

    The innovation that lies ahead on the road to a trillion connected devices are nothing short of astonishing, as we push compute and artificial intelligence (AI) and machine learning (ML) capabilities from the cloud to the edge. To get there, engineers are…

    • 28 days ago
    • Processors
    • Machine Learning IP blog
  • Imagimob: The Fastest Path from Data Collection to Embedded AI Application

    Mary Bennion
    Mary Bennion

    ***All content in this blog written by Johan Malm, Ph.D. Johan is a specialist in numerical analysis and algorithm development. He works as a machine learning developer at Imagimob***

    We live in a world of data. Virtually everyone talks about data and…

    • 1 month ago
    • Processors
    • Machine Learning IP blog
  • Super Resolution on Arm NPU

    Alex Avramenko
    Alex Avramenko

    ***Content written in this blog by Alex Shang, Yabin Zheng, Mary Bennion, and Alex Avramenko***

    Background

    In the consumer electronics industry, high resolution has become widespread and is an expected feature that provides consumers with a better entertainment…

    • 3 months ago
    • Processors
    • Machine Learning IP blog
  • Using PSA Security Toolbox to protect ML on the edge

    Michael Vakulenko
    Michael Vakulenko

    Machine learning workloads are moving from datacenters onto edge devices for privacy and efficiency reasons. Machine learning deployments in datacenters can be protected using conventional cybersecurity measures. At the same time, running neural networks…

    • 4 months ago
    • Processors
    • Machine Learning IP blog
  • 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…

    • 5 months ago
    • Processors
    • Machine Learning IP blog
  • Arm Ethos-N78 NPU: Unprecedented Machine Learning Capability at your Fingertips

    Raviraj Mahatme
    Raviraj Mahatme

    Our everyday lives generate huge amounts of data and information – digital, biological, physical, and sensorial. With advances in AI, this data can be used to create incredible benefits for humankind. To realize this challenge and extract useful information…

    • 6 months ago
    • Processors
    • Processors blog
  • 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…

    • 9 months ago
    • Processors
    • Processors blog
  • An Introduction to Machine Learning on Mobile

    Pablo Hernandez Almudi
    Pablo Hernandez Almudi

    One of our goals at Arm is to enable more people to create and deploy their own machine learning (ML) enabled apps. Whether you are an experienced developer or if it is your first time venturing into the ML application world, this blog highlights some…

    • 11 months ago
    • Processors
    • Machine Learning IP blog
  • Using Arm v8 for Vision at the Edge

    Mary Bennion
    Mary Bennion

    When developing vision applications, the most common knowledge gap we encounter is a lack of understanding; regarding the performance required and what can be achieved with a given hardware architecture. The confusion partly stems from dissimilar benchmarks…

    • over 1 year ago
    • Processors
    • Machine Learning IP blog
  • Optimizing AI workloads with Ethos NPUs

    Dylan Zika
    Dylan Zika

    Today’s Artificial Intelligence (AI) use cases are moving beyond the hype, delivering real value to consumers with vision and voice-based use cases. Image classification requirements are exploding upward with real-time video processing at increased resolutions…

    • 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
  • How to implement voice and audio processing on Arm with Alango Technologies

    Chris Shore
    Chris Shore

    Picture your smart assistant at home: you say a command, and it recognizes your voice, processes what you’re saying and responds. This is an example of a multi-sensor device that requires signal processing. Designers of compelling voice communication…

    • over 1 year ago
    • Processors
    • Processors 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
  • 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
  • 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
  • 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
  • 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
  • Arm is changing machine learning experiences: Project Trillium

    Jem Davies
    Jem Davies

    Imagine you’re 30 meters down, diving above a reef surrounded by amazing-looking creatures and wondering what species the little yellow fish with the silver stripes is. You could fumble around for a fish chart, if you have one, but what you really want…

    • over 2 years ago
    • Processors
    • Processors blog
  • Arm ML Processor: Powering Machine Learning at the Edge

    Ian Forsyth
    Ian Forsyth

    It would be really amazing to have a personal assistant in my hands that is actually smart, truly understands my words and responds intelligently to resolve day-to-day tasks. The recent advancements in Machine Learning (ML) make me optimistic that such…

    • over 2 years ago
    • Processors
    • Processors blog
  • Running AlexNet on Raspberry Pi with Compute Library

    Gian Marco Iodice
    Gian Marco Iodice

    If you’d like to develop your Convolutional Neural Networks using just the Compute Library and a Raspberry Pi, this step-by-step guide will show you how… and it comes complete with all the tools you’ll need to get up and running.

    If…

    • 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
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