• Predictions for a connected 2018

    Rob Aitken
    Rob Aitken

    2017 was the year Artificial Intelligence (AI) became pervasive in homes, thanks in part to aggressive ad campaigns from Amazon and Google declaring their digital home assistants the new must-have household appliances, bringing the consumer vision of…

    • over 2 years ago
    • Internet of Things
    • Internet of Things
  • New Arm Mali-G57 GPU: bringing high-fidelity gaming and immersive experiences to the mainstream

    Daniele Di Donato
    Daniele Di Donato

    We are excited to expand our Mali graphics portfolio with the new Arm Mali-G57 GPU, bringing a range of new features and immersive experiences to the mainstream market. Mali-G57 is the first mainstream GPU based on the new Valhall architecture, following…

    • 8 months ago
    • Graphics and Gaming
    • Graphics and Gaming blog
  • New Arm ML guide: Deploying a quantized TensorFlow Lite MobileNet V1 model

    Darren Doyle
    Darren Doyle

    We are very pleased to announce the launch of a machine learning how-to guide – Deploying a quantized TensorFlow Lite MobileNet V1 model.

    The guide provides an end-to-end solution on using the Arm NN SDK. It walks you through creating a program which…

    • 9 months ago
    • Processors
    • Machine Learning IP blog
  • Mali-G72 – Enabling tomorrow’s technology today

    Freddi Jeffries
    Freddi Jeffries

    You might have noticed that around this time of year we start to talk about our latest high end GPU. Well, 2017 is no different and we in the Arm Mali team are delighted to welcome Mali-G72 to the High Performance GPU roadmap.

    2017 Premium mobile GPU

    …
    • over 3 years ago
    • Graphics and Gaming
    • Graphics and Gaming blog
  • Why GPUs and Machine Learning are a Perfect Match

    Freddi Jeffries
    Freddi Jeffries

    Way back at the start of the year I asked you what you thought the hot topics of tech were going to be in 2017 and which would take the greatest forward leaps.  Whilst there was a lot of support for Virtual Reality (and not quite as much for Augmented…

    • over 2 years ago
    • Graphics and Gaming
    • Graphics and Gaming 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
  • New Valhall architecture for Arm Mali-G77 GPU brings big step-change in premium mobile

    Andy Craigen
    Andy Craigen

    At Arm it’s always a challenge topping previous year’s premium IP. In 2018, we launched the Arm Mali-G76 GPU which, at the time, boasted our highest ever GPU performance. Already Mali-G76 has seen great success, delivering on the performance…

    • over 1 year ago
    • Graphics and Gaming
    • Graphics and Gaming 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
  • Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs

    Charlotte Christopherson
    Charlotte Christopherson
    Partha Maji, Andrew Mundy, Ganesh Dasika, Jesse Beu, Matthew Mattina, Robert Mullins
    The Winograd or Cook-Toom class of algorithms help to reduce the overall compute complexity of many modern deep convolutional neural networks (CNNs). Although there has been…
    • Efficient Winograd or Cook-Toom Convolution Kernel Implementation on Widely Used Mobile CPUs.pdf
    • over 1 year ago
    • Arm Research
    • Resources
  • 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
  • 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
  • Arm NN: the Easy Way to Deploy Edge ML

    Steve Roddy
    Steve Roddy

    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…

    • over 1 year ago
    • Software Tools
    • Tools, Software and IDEs 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 1 year 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 1 year ago
    • Processors
    • Processors blog
  • Machine learning is a huge part of my life – but I didn’t realize this until I joined Arm

    Jack Melling
    Jack Melling

    Being over four months into my new job at Arm, I'm still learning about the company and all the many areas of technology that we're involved in. One of these areas is machine learning (ML). In my infinite naivety, and slight ignorance, this is something…

    • over 1 year ago
    • Graphics and Gaming
    • Graphics and Gaming 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 1 year ago
    • Processors
    • Processors blog
  • Mobile reimagined: Changing your world

    Freddi Jeffries
    Freddi Jeffries

    The rapid uptake and advancement of new and exciting use cases in the smartphone market means previous generation devices eventually won’t be able to run the advanced software workloads and immersive use-cases that are becoming increasingly common, and…

    • over 2 years ago
    • Graphics and Gaming
    • Graphics and Gaming blog
  • Arm ML Research Enables Augmented Reality Mobile Apps through Low-Power Machine Learning

    Paul Whatmough
    Paul Whatmough

    Augmented reality (AR) is a technology where virtual content is overlaid on top of the real world. If you’ve ever played with Snapchat “Lenses” on your mobile phone, to transform a selfie with a cartoon monocle or dog ears, you will…

    • over 2 years ago
    • Arm Research
    • Research Articles
  • Mainstream mobile: Bringing premium experiences to millions more consumers

    Freddi Jeffries
    Freddi Jeffries

    As we know, the content our smartphones need to handle is becoming increasingly complex. Gone are the days of the first simple, monochrome displays; even today’s mainstream and lower cost devices now need to support a rich, multi-layered user interface…

    • over 2 years ago
    • Graphics and Gaming
    • Graphics and Gaming blog
  • MWC18: A Smartphone Camera With a Brain

    Roberto Mijat
    Roberto Mijat

    Mobile continues to be a very dynamic industry, thriving with technical innovation, particularly around camera related technologies. In 2017 over 1.2 Trillion (that is 1,200,000,000,000) photos were taken with mobile devices. With over 1.5bn devices shipping…

    • over 2 years ago
    • Graphics and Gaming
    • Graphics and Gaming 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
>