• 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
  • 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
  • 10 things you should know about LwM2M

    Hannes Tschofenig
    Hannes Tschofenig

    LightweightM2M is a device management protocol designed for sensor networks and the demands of a machine-to-machine (M2M) environment. Through their LwM2M specification,OMA SpecWorks have helped to address the need for a common standard for managing lightweight…

    • over 1 year ago
    • Arm Research
    • Research Articles
  • 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