Arm Community » Machine Learning Blog
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Arm technology is at the heart of a computing and connectivity revolution that is transforming the way people live and businesses operate. The Arm Community makes it easier to design on Arm with discussions, articles, and information to help deliver an Arm-based design efficiently through collaboration. Here, you'll get all the latest updates & news on Machine Learning.
Arm Community » Machine Learning Blog
3M ago
Large Language Models (LLMs), a form of generative AI inference, can now run on the majority of mobile devices built on the Arm CPU. This blog explains how and why ..read more
Arm Community » Machine Learning Blog
5M ago
Calling all developers who want to maximize their neural network performance! We present the Arm MLIA, the work leading up to it and why it matters ..read more
Arm Community » Machine Learning Blog
7M ago
Current state of quantization on mobile (Android) is presented. Post-Training Quantization and Quantization Aware Training (QAT) in TFLite are discussed ..read more
Arm Community » Machine Learning Blog
7M ago
Arm has worked with Meta to introduce support for Arm platforms in ExecuTorch ..read more
Arm Community » Machine Learning Blog
8M ago
During the Game Developer Conference (GDC) in March 2023, we showcased our multi-agent demo called Candy Clash, which is a mobile game containing 100 intelligent agents ..read more
Arm Community » Machine Learning Blog
8M ago
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 ..read more
Arm Community » Machine Learning Blog
10M ago
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 ..read more
Arm Community » Machine Learning Blog
11M ago
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 ..read more
Arm Community » Machine Learning Blog
11M ago
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 ..read more
Arm Community » Machine Learning Blog
11M ago
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 ..read more