Machine Learning Blog

This blog post describes the steps to develop tiny Machine Learning (ML) software by using TensorFlow Lite for Microcontrollers (TFLu) on the Corstone-310 platform.

Part 2 explores the challenges of porting such a complex pipeline to Android, with insight on key design choices to facilitate the process.

This blog investigates how to extend AI’s capability to recreate songs with lyrics in another language using open-source ML models available today.

With Arm’s vast microprocessor ecosystem at its foundation, the world is entering a new era of Tiny ML. Professor Vijay Janapa Reddi walks us through this emerging field.

The Corstone-320 FVP emulation platform offers a powerful foundation for developing advanced ML applications. Learn how to develop and test ML applications without physical hardware.

Edwin talks about an Arm Developer Program Workshop at Ashesi University, Ghana for Arm technology and AI using PyTorch.

Nairobi's hardware development scene is discussed by Arm Ambassador, Kevin Odero.

This blog post describes how to implement the same matrix-matrix multiplication algorithm using three different Arm technologies: Neon, SVE, and SME.

Learn how Arm and our Partners enable developers and the IoT software ecosystem to deliver smart, energy efficient ML edge devices.

This blog post shows the results of a research project into speaker identification using a DNN. Learn more about the key performance results, and future applications in AI tasks.

This blog is the second half of a two-part blog for SME Instructions. See link to Part 1 in the note at the top of this blog post.

This blog series provides an introduction to the Arm Scalable Matrix Extension (SME) including SVE and SVE2.

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.

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.

How developers can optimize their AI models for Arm Ethos-U NPUs using the NVIDIA TAO Toolkit.

Arm has worked with Meta to introduce support for Arm platforms in ExecuTorch.

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.

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.