• 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…

    • 28 days ago
    • Processors
    • Processors 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…

    • 9 months ago
    • Processors
    • Machine Learning IP blog
  • Getting started with deep learning models on Arm Cortex-A with MATLAB

    Jason Andrews
    Jason Andrews

    Today, I’ve teamed up with Ram Cherukuri of MathWorks to provide an overview of the MathWorks toolchain for machine learning (ML) and the deployment of embedded ML inference on Arm Cortex-A using the Arm Compute Library.

    MathWorks enables engineers…

    • over 1 year ago
    • Software Tools
    • Tools, Software and IDEs 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
  • 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
  • Machine Learning: PlatformIO and CMSIS-NN

    RajeshSiraskar
    RajeshSiraskar

    Hi,

    I am trying to get started with Machine Learning and the ARM Cortex-M4 processors.

    I've been struggling to get started with neural-networks to work with the PlatformIO environment

    Does anyone here have experience with that please?

    Rajesh

    • over 1 year ago
    • Open Source Software and Platforms
    • Machine Learning forum
  • 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 1 year ago
    • Processors
    • Processors blog
  • Arm NN:在移动和嵌入式设备上无缝构建和运行机器学习应用程序

    Song Bin 宋斌
    Song Bin 宋斌

    原文地址:https://community.arm.com/tools/b/blog/posts/arm-nn-sdk

    最近,我们宣布推出神经网络机器学习(ML) 软件 Arm NN,这是一项关键技术,可在基于 Arm 的高能效平台上轻松构建和运行机器学习应用程序。

    实质上,该软件桥接了现有神经网络框架(例如 TensorFlow 或 Caffe)与在嵌入式 Linux 平台上运行的底层处理硬件(例如 CPU、GPU 或新型 Arm 机器学习处理器)。这样,开发人员能够继续使用他们首选的框架和工具…

    • over 2 years ago
    • 中文社区
    • 中文社区博客
  • 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
  • Arm NN: Build and Run ML Apps Seamlessly on Mobile and Embedded Devices

    Tim Hartley
    Tim Hartley

    Recently, we announced our neural network machine learning (ML) software, Arm NN, a key piece of technology that makes it much, much easier to build and run ML applications on power-efficient, Arm-based platforms.

    In essence, the software provides a bridge…

    • over 2 years ago
    • Software Tools
    • Tools, Software and IDEs blog
  • Using Arm development solutions to bring On-Device Machine Learning inference to embedded world

    odinlmshen
    odinlmshen

    Machine Learning (ML) is moving to edge no doubt. A lot of embedded devices want to have edge computing capability to provide more advanced services, like voice recognition for smart speaker and face detection on surveillance camera. Constructing a solid…

    • over 2 years ago
    • Software Tools
    • Tools, Software and IDEs 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
  • Machine Learning moving to the Network edge to improve next generation services

    Jim Wallace
    Jim Wallace

    Artificial intelligence (AI) is a technology that is already impacting our lives, from recognizing who’s in our photos on social media to spotting patterns in medical data, defining the evolution of self-driving cars and running real-time fraud detection…

    • 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
  • Arm support for Android NNAPI gives >4x performance boost

    Robert Elliott
    Robert Elliott

    The launch of Arm support for the Android Neural Networks API (NNAPI) sees the release of open-source, optimized neural network operators that deliver significant performance uplift across CPUs and GPUs.

    Back in May at Google I/O, we heard the first public…

    • over 2 years ago
    • Open Source Software and Platforms
    • Android blog