• AI Basics: Training vs Inference – What’s the Difference?

    Hellen Norman
    Hellen Norman
    So you know your ML from your AI? Great. Want to know more about training and inference? Read on...
    • September 10, 2019
  • BFloat16 processing for Neural Networks on Armv8-A

    Nigel Stephens
    Nigel Stephens
    The next revision of the Armv8-A architecture will introduce Neon and SVE vector instruction designed to accelerate Neural Networks using the BFloat16 format.
    • August 29, 2019
  • Arm and Clavister partnership brings security to the edge

    Shai Tsur
    Shai Tsur
    The addition of Clavister to the Arm ecosystem is another demonstration of a forward-looking software vendor who sees the advantage of Arm-based technology in the changing world of networking infrastructure…
    • August 19, 2019
  • New Arm online training course: Introduction to the AMBA ACE protocol

    NickT
    NickT
    Arm announces a new online training topic, An introduction to the AMBA ACE protocol. Learn about the course in this blog.
    • August 15, 2019
  • Improved Power Management and System Control through SCMI

    Souvik Chakravarty
    Souvik Chakravarty
    This blog offers an overview of the Arm SCMI white paper and specification. It outlines improved power and performance management of a SoC, as well as enhanced system control functionality using SCMI.
    • August 5, 2019
  • Memory Tagging Extension: Enhancing memory safety through architecture

    Steve Bannister
    Steve Bannister
    Arm takes a look at security threats through not addressing memory safety and how Arm's Armv8.5-A Memory Tagging Extension (MTE) can help.
    • August 5, 2019
  • What’s the best IP for machine learning workloads – CPU, GPU or NPU?

    Sylwester Bala
    Sylwester Bala
    An outline of different machine learning use cases on devices and what workloads take place on the CPU, GPU and NPU
    • July 30, 2019
  • Powering the Edge: How Will YOU Do ML?

    Dylan Zika
    Dylan Zika
    You’ve got a great little edge device, and you’re keen to add machine learning capabilities to assist local decision-making. So, what do you do next?
    • July 30, 2019
  • 5G: transforming user experiences on devices

    Nicola Logli
    Nicola Logli
    Arm explores the user experiences on consumer devices that will be transformed by 5G.
    • July 9, 2019
  • New online training course - Machine Learning using Arm

    NickT
    NickT
    Arm is pleased to announce a new online training topic, Machine Learning using Arm. It covers Arm’s IP solutions for optimizing ML applications for Arm hardware.
    • July 9, 2019
  • Arm joins Trusted Computing Group, driving towards secure devices everywhere

    Stuart Yoder
    Stuart Yoder
    Arm joins Trusted Computing Group (TCG) in order to enable secure computing through open standards and specifications.
    • June 19, 2019
  • 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…
    • June 18, 2019
  • Boosting the Windows on Arm ecosystem with native port for Electron 6

    Rahoul Varma
    Rahoul Varma
    Arm has been working with partner companies to release Electron 6 to support Windows on Arm PC devices, which will provide a significant boost to the Windows on Arm ecosystem.
    • May 30, 2019
  • New Arm Cortex-A77 CPU continues path towards compute performance leadership

    Stefan Rosinger
    Stefan Rosinger
    Introducing the Arm Cortex-A77 CPU which provides a significant performance boost for next generation devices and continues Arm's path towards compute performance leadership.
    • May 27, 2019
  • Arm Ethos-N ML Inference Processors: Powering Exciting User Experiences on Edge Devices

    Ian Forsyth
    Ian Forsyth
    CPUs and GPUs are ML powerhouses in their own right, but the Arm ML processor delivers the most efficient processing for an exciting UX on edge devices.
    • May 27, 2019
  • 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…
    • May 20, 2019
  • Case study: RelChip turns up the heat with Arm DesignStart

    Chris Shore
    Chris Shore
    Learn how RelChip developed an Arm Cortex-M based microcontroller with the widest operating temperature range in the world to be used for applications in extreme conditions, from geothermal to aerospace…
    • May 20, 2019
  • Accelerating innovation: transforming businesses through smart sensing and AI

    Chris Shore
    Chris Shore
    Machine learning is changing the way we interact with technology. Arm's Chris Shore talks to Imagimob about their intelligent software solutions with actionable insights in real-time.
    • May 14, 2019
  • Case study: accelerated chip design for drones and cameras with Arm DesignStart

    Chris Shore
    Chris Shore
    Find out how NeoWine turned to the Arm DesignStart program to create a secure encryption ASIC and high performance MCU for drones, based on the Arm Cortex-M0 and Cortex-M3 processors.
    • May 13, 2019
  • Why Google’s TF Lite Micro Makes ML on Arm Even Easier

    Hellen Norman
    Hellen Norman
    Google partners with Arm to develop TensorFlow Lite Micro; uTensor – an inference library based on Arm Mbed and TensorFlow –  becomes part of the project.
    • May 9, 2019
  • Technical Webinar: ML on Arm Cortex-A FAQ

    Jason Andrews
    Jason Andrews
    Machine Learning on Arm Cortex-A, a technical webinar from Arm, is now available on demand. It shows developers how to move neural network workloads around an SoC quickly and easily using Arm NN.
    • May 7, 2019
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