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AI and ML blog

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  • Usability, performance, and new technologies for Machine Learning: Arm NN in 2021

    James Conroy
    James Conroy
    In this blog post, read about advancements in ML with Arm NN 2021.
    • February 2, 2022
  • Vela Complier: The first step to deploy your NN model on the Arm Ethos-U microNPU

    Liliya Wu
    Liliya Wu
    As first step to deploy your NN model on Ethos-U, Vela Complier is open-source and easy-use. Try it out and embrace the improvement of ML ability brought by Ethos-U to embedded system.
    • January 17, 2022
  • Optimize a ML model for fast inference on Ethos-U microNPU

    Elham Harirpoush
    Elham Harirpoush
    This blog post explains how to optimize a trained deep neural network model to run on Ethos-U55 and Ethos-U65.
    • January 11, 2022
  • Arm DevSummit: Sustainable Innovation – Jewel Beetle’s Wildfire Detection Solution

    pmallick
    pmallick
    This year’s Arm DevSummit Developer Competition winner explains how his wildfire detection solution uses tech to tackle real-life sustainability issues.
    • December 6, 2021
  • Paddle-Lite improves performance of mobile devices with Arm technology

    Liliya Wu
    Liliya Wu
    This Blog mainly introduced how Paddle-Lite improves performance of mobile devices with Arm technology, especially for CPU and Mali GPU.
    • December 3, 2021
  • Enabling customer specific configurations of Arm Virtual Hardware for Total Solutions for IoT

    ParagBeeraka
    ParagBeeraka
    See how Himax Technologies has demonstrated the successful utilization of the Arm Virtual Hardware based on Corstone-300 and configured its projects to the target platforms.
    • December 2, 2021
  • The future of smart cameras is 64-bit processing

    ParagBeeraka
    ParagBeeraka
    Learn more about how the future of smart camera technology will bring with it profound transformations in the way we interact with each other and the world around us.
    • November 30, 2021
  • Arm ML Embedded Evaluation Kit

    Elham Harirpoush
    Elham Harirpoush
    Build and deploy embedded machine learning applications for Arm Cortex-M55 CPU and Arm Ethos-U55 NPU with Arm ML Embedded Evaluation Kit.
    • November 22, 2021
  • Using Arm Streamline for profiling ML workloads

    Pavel Rudko
    Pavel Rudko
    Learn more about how to use Arm Streamline to profile different machine learning workloads for your applications.
    • November 18, 2021
  • Unrolling RNN models for Arm Ethos-U55 and U65

    Richard Burton
    Richard Burton
    This blog will show you how to train and quantize a recurrent neural network using TensorFlow, then unroll it ready for deployment on Arm Ethos-U55.
    • November 5, 2021
  • On-device face recognition with RGB camera on DTVs

    Connor Wang
    Connor Wang
    On-device face recognition with RGB cameras on digital televisions (DTVs) is set to become an increasingly important feature for users. Read more in this post.
    • November 1, 2021
  • Image recognition on Arm powered microcontrollers

    Karl Fezer
    Karl Fezer
    In this blog we present a TinyML image recognition demo, on an Arm Cortex-M processor, using TensorFlow along with CMSIS-NN for optimized performance.
    • October 27, 2021
  • Advancing interactive intelligence

    Kentaro Niikura
    Kentaro Niikura
    In this guest blog post, from Kentaro Niikura, read about how Renesas is implementing an advancement in AI.
    • October 13, 2021
  • PyTorch to TensorFlow Lite for deploying on Arm Ethos-U55 and U65

    Richard Burton
    Richard Burton
    How to convert models to run Ethos-U55 and Ethos-U65 for models trained in PyTorch.
    • September 28, 2021
  • The growing power and influence of smartwatches

    Martin Bradley
    Martin Bradley
    This blog discusses the growth of smartwatches and how Arm is delivering processor power and efficiency capabilities for these devices.
    • September 27, 2021
  • Targeting carbon net zero through workflow efficiency

    Stephan Waldert
    Stephan Waldert
    Demand for compute is increasing, yet carbon emissions must be reduced. Machine learning can make workflows more efficient, reducing their carbon footprint.
    • August 3, 2021
  • Porting SSE to Neon: Are libraries the way forward?

    Ben Clark
    Ben Clark
    Moving from SSE to Arm Neon is a transition many developers are looking to make, with many already making the jump to Neon. In this blog we look at an easier way to achieve this process, and the steps…
    • July 1, 2021
  • Managing the Peaks for Commercial-Grade SLAM

    Mary Bennion
    Mary Bennion
    How do you enable your robot to navigate the complexities of world and be successful with the tasks & jobs you give them? Think about the elements that go into SLAM and learn about best practices for deployment…
    • April 20, 2021
  • Improve PyTorch App Performance with Android NNAPI Support

    Koki Mitsunami
    Koki Mitsunami
    This blog post is about sharing our experience in running PyTorch Mobile with NNAPI on various mobile devices. I hope that this will provide developers with a sense of how these models are executed on…
    • April 6, 2021
  • Moving the gym to your living room: Body pose tracking on your Smart TV

    Mina Dimova
    Mina Dimova
    This blog explains how developers can create fitness and exercise applications on Smart TVs for the end-user.
    • March 29, 2021
  • Getting real-time CNN inference for AR on mobile

    Pavel Rudko
    Pavel Rudko
    This blog explains how to get real time results with CNN inference for Augmented Reality (AR) on Mobile.
    • March 15, 2021
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