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…

I know, I know… it’s been a while since I wrote my last Arm Compute Library blog, but I promise that your patience will be rewarded. There’s a whole host of freshly integrated functions, features and performance optimizations that I want to share with…

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…

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…

Machine learning (ML) is no longer the new kid on the block. We’re almost all familiar with the concept of personal assistants, connected homes and a seemingly limitless torrent of gadgets that can improve our lives – as long as we have a data connection…

Now is the time to register for Arm TechCon 2018, happening October 16-18 at the San Jose Convention Center. The agenda for the conference is now available and includes over 70 hours of sessions with seven technical tracks.

Accelerating & Optimizing Machine…

How Facebook Artificial Intelligence and the Arm Compute Library are working together to enable optimal ML applications

Once upon a time, machine learning (ML) on your smartphone meant predictive text or simple speech and face recognition, often sharing…

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…

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…

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…

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…

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…

We are pleased to announce the latest quarterly public release of the Compute Library, version 17.9. In this blog, I will highlight some of the new features and functions that we have added.

What is in this new release

The key additions you will find in…

Hi folks!

Here we are! For the first hands-on guide of the new Computer Vision and Machine Learning software library developed at Arm: Compute Library!

Compute Library is a rich collection of functions for image processing, computer vision and machine…

Not long has passed since we made the Compute Library publicly available on March 14th. Today we are pleased to announce the second public release of the library, adding many new functions to accelerate computer vision and machine learning on Arm Cortex…

Emerging technologies like machine learning (ML), virtual reality (VR), augmented reality (AR), and computer vision (CV) are providing fantastic opportunities for innovation and business growth across the whole Arm ecosystem and in all market segments…