Machine Learning Blog

How to design a neural network so that the compiler is able to efficiently compress the weights of your ML model and benefit fully from the capabilities of the Ethos-U hardware?

Using the Unity ML-Agents Toolkit, we developed Candy Clash demo, the multi-agent system, where dozens of rabbit characters work as a team, aiming to crack their opponent's egg.

Using the Unity ML-Agents Toolkit, we developed Candy Clash demo, the multi-agent system, where dozens of rabbit characters work as a team, aiming to crack their opponent's egg.

Arm Virtual Hardware has transitioned from private to public beta and is now open to anyone with an Arm account to try out and use for commercial purposes. Find out more.

Keil MDK Version 6 delivers new features that are optimized for the entire Cortex-M and Ethos-U processor portfolio.

In this blog, we demonstrate how to analyze a Machine Learning model on a layer-by-layer basis.

Join DSP Concepts and Alif Semiconductor at Arm DevSummit 2022 to discuss ML techniques commonly used for audio. Discover the features and benefits of the Audio Weaver platform.

This blog provides detailed information about how to apply multi-agent reinforcement learning across Android devices.

This blog introduces how to deploy a PP-OCRv3 English text recognition model on Arm Cortex-M55 processor with Arm Virtual Hardware.

This is a series of blogs about training NPC's in games with ML Agents in Unity. This blog is part 3 of a three part series.

This is a series of blogs about training NPC's in games with ML Agents in Unity. This blog is part 2 of a three part series.

This is a series of blogs about training NPC's in games with ML Agents in Unity. This blog is part 1 of a three part series.

This blog explains how developers can implement style transfer for graphics post-processing on mobile, in particular neural style transfer.

In this blog post, read about advancements in ML with Arm NN 2021.

As first step to deploy your NN model on Ethos-U, Vela Compiler is open-source and easy-use. Try it out and embrace the improvement of ML ability brought by Ethos-U to embedded system.

On-device automatic speech recognition is now becoming feasible and is useful in scenarios without internet connection or when data privacy is a concern.

This year’s Arm DevSummit Developer Competition winner explains how his wildfire detection solution uses tech to tackle real-life sustainability issues.

This Blog mainly introduced how Paddle-Lite improves performance of mobile devices with Arm technology, especially for CPU and Mali GPU.