Machine Learning Blog

In this blog, read about TinyML and the optimization of TVM.

Join Arm's AI virtual tech talk series covering the latest trends in machine learning development, including deployment, optimization, best practices, as well as new ML technologies shaping the industry…

This blog explores the key features and benefits of the Arm Ethos-N78 NPU.

This blog explores the key features and benefits of the Arm Cortex-A78 CPU.

Read this introduction to the Arm Cortex-X Custom Program, outlining what the new program entails and providing details about the new Arm Cortex-X1 CPU which is part of the program.

This blog goes through the key features and benefits of the Arm Mali-G78 GPU.

The design of deep learning (DL) neural network (NN) models targeting mobile devices has advanced rapidly over the last couple of years. Important computer vision tasks have led a community-wide transition…

Architecture simulators are a key tool in the computer architecture toolbox. They provide a convenient model of real hardware at a level of abstraction that makes them faster and more flexible than low…

Read about how to train a TinyML model to recognize sounds.

Researchers have studied neural network compression for quite some time. However, the need for always on compute has led to a recent trend towards executing these applications on even smaller IoT devices…

The new Arm Cortex-M55 and Ethos-U55 processors significantly increase machine learning and signal processing performance efficiently for the next generation of AI-capable IoT devices. Read this blog to…

2019 was yet another year of incredible technology discovery for Arm Research. Inspiring advancements have been made across the research community, and Arm Research has contributed to this. Our teams have…

A blog about machine Learning that discuss some ideas and experiences that might get you interested in creating your own ML app.

Microcontrollers (MCUs) are the ubiquitous computer of our time, being tiny, cheap, and low power. Often powered by using solar cell, they are in your watch, fridge, and your car will contain about thirty…

Recurrent Neural Networks (RNNs) are used in tasks where the strict order of the input conveys certain information, and so are classed as an important algorithm. These networks are being deployed on resource…

University engagements play a significant role in our partnerships at Arm Research, helping us extend our reach and build understanding of technologies as they emerge. Harvard University is one of those…

Read about the work to maximize performance using the Arm v8 architecture. Specifically, by taking advantage of the NEON (DSP instruction) and a Floating-Point Unit (FPU).

TensorFlow is powering everything from data centers to edge devices, across industries. With TensorFlow 2.0 and the evolving ecosystem of tools and libraries, it is doing it all so much easier. At this…