Machine Learning Blog

Announcing an ML how-to guide which gives an end-to-end solution on using the Arm NN SDK. It acts as a great starting point for mobile app developers who want to trial the Arm NN SDK.

So you know your ML from your AI? Great. Want to know more about training and inference? Read on...

The next revision of the Armv8-A architecture will introduce Neon and SVE vector instruction designed to accelerate Neural Networks using the BFloat16 format.

Increasingly, intelligent applications are using neural networks at their core to deliver new functionality to users. These applications include language understanding and translation, image recognition…

One the primary research thrusts of our ML Research Lab is investigating ways to bring more machine learning applications to Arm's products, and to make existing applications more efficient.

An outline of different machine learning use cases on devices and what workloads take place on the CPU, GPU and NPU

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?

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.

MathWorks enables engineers to get started quickly and makes ML possible without having to become an expert. Learn about the power of MATLAB for deploying ML on Arm Cortex-A.

Introducing the Arm Mali-G77 GPU with new Valhall architecture that brings big-step change in premium mobile performance and efficiency.

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.

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.

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…

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.

Google partners with Arm to develop TensorFlow Lite Micro; uTensor – an inference library based on Arm Mbed and TensorFlow –  becomes part of the project.

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.

Discover why on-device machine learning is here to stay – and what it's already doing for you.

Mobile computing is on the rise, and currently moving into some really exciting new applications and form factors ­– augmented reality (AR) glasses, unmanned aerial vehicles (UAVs), automated driver assistance…