Machine Learning Blog

In this blog post, learn how the Arm Developer Advocacy team is exploring how machine learning can enable a sign-to-speech translator for video conferencing.

A deep dive into a practical, ML-powered approach to temporal super sampling.

Build next-gen mobile AI apps with SME2—no code changes needed. Accelerate performance across devices using top AI frameworks and runtimes.

A year of Arm KleidiAI in XNNPack brings major ML performance boosts—no code changes needed. Transparent, seamless acceleration on Arm CPUs.

In this blog post, we perform a study of the GNN architecture and the new TF-GNN API and determine whether GNNs are a viable approach for implementing physics simulations.

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.