AI and ML blog

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.

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.

In this guest blog post, from Kentaro Niikura, read about how Renesas is implementing an advancement in AI.

How to convert models to run Ethos-U55 and Ethos-U65 for models trained in PyTorch.

This blog discusses the growth of smartwatches and how Arm is delivering processor power and efficiency capabilities for these devices.

Demand for compute is increasing, yet carbon emissions must be reduced. Machine learning can make workflows more efficient, reducing their carbon footprint.

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…

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…

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…

This blog explains how developers can create fitness and exercise applications on Smart TVs for the end-user.

This blog explains how to get real time results with CNN inference for Augmented Reality (AR) on Mobile.

This blog describes the process for building an augmented reality (AR) filter mobile app in Unity.

This blog demonstrates how to significantly reduce memory usage and achieve a substantial inference speed-up through enabling new Arm NN features.

This blog article introduces how to profile and optimize machine learning applications running with the Arm NN inference engine.

This blog is trying to showcase an X-RAY classification model for detecting a COVID-19 vs Healthy patients using the CovidX database.

Arm and MLCommons, a global engineering consortium are working together to push industry benchmarks and best practices for AI.

What is TVM? A quick guide on why developers focused on ML Deployment should be aware.

In this blog, read about how to accelerate Edge Computing with Arm Ethos-N78 and Artisan.

Read about Arm Ethos-U65 and the expansion of Artificial Intelligence (AI).

Learn how to collect data and deploy to an embedded device. This blog will show you how to do this for headphones with gesture recognition features using the world's smallest radar system by Acconeer

This blog explores how to make the most of Arm NN for GPU inference through the new OpenCL Tuner.