Research Collaboration and Enablement

Who wants to build a robot? Robots can be expensive, time consuming and challenging to get right. For those of us who want to focus on the software systems without having to build a robot, there are simulators…

PlasticArm is bringing the possibility of seamlessly embedding billions of extremely low-cost, ultra-thin, conformable microprocessors into everyday objects – a significant leap forward in realising the…

Today Arm announced the M‑profile vector extensions (MVE) for the Armv8‑M, which started in Arm’s research group several years ago when we were asked to increase the DSP performance of Arm Cortex‑M processors…

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…

The Transactional Memory Extension (TME) is part of Arm’s A-profile Future Architecture Technologies program, which provides advanced information on unreleased versions of the architecture.

The size and computational complexity of neural network models continues to grow exponentially. However, the increase in computational requirements presents a major challenge to their adoption. Could Residue…

In the first post in a three-part series, Greg Yeric, Arm Research Fellow, shares his thoughts on three-dimensional integrated circuits and the potential impact of this technology across a variety of areas…

This blog is a companion to my keynote at Arm TechCon on 10 October, 2019.  I am publishing a blog form because I cover a LOT of ground in that 20 minute talk, and there are i...

In this paper, Nigel Stephens and his colleagues from groups across Arm introduce the Arm Scalable Vector Extension (SVE). SVE is the culmination of a multi-year project run between Arm Research and Arm…

Arm has had a long history of research into distributed systems. We have previously focused that research on applying Arm technology to HPC, but in recent years we’ve also been looking at various forms…

One the primary research thrusts of our ML Research Lab is investigating ways to bring more machine learning applications to Arm's products, and to make existing applications more efficient.

Beatwise execution is at the heart of Helium technology. In the second part of a four-part series, we explore how new M-profile vector extensions efficiently handle different data formats.

In the second of a three-part series exploring three-dimensional integrated circuits, Arm Research Fellow Greg Yeric moves onto what the future could hold for this technology.

In the final part of his blog series, Greg builds on his discussion of 3D-SIC and 3D-SoC to talk about 3D at the transitor level, and how leveraging the third dimension could help advance the power, performance…

Arm Research are pleased to announce the release of our first Research Starter Kit (RSK): System Modeling using gem5, available to download now for free.

As the Internet of Things (IoT) continues to revolutionise our daily lives, the demand for smaller, smarter, and more diverse flexible technology has never been greater. A new collaborative project is…

A number of technological challenges are posed by Augmented Reality (AR) on mobile devices. This blog reviews these, and presents a paper from Arm Research ML Group that seeks to address these challenges…

Between 17-19 September 2018, over 350 researchers, academics and industry experts gathered at Robinson College in Cambridge, UK to discuss the latest trends, opportunities and challenges in computing…

11-13 September 2017 | Robinson College, Cambridge UK In September 2016 Arm Research held the first Arm Research Summit in Cambridge, attracting over 200 attendees. Following the success of the inaugural…

Over the last few years, there’s been a terrific amount of interest in artificial intelligence, and specifically the branch of machine learning known as 'deep learning'. This post provides a brief overview…

As reported earlier this month, the Arm Research Summit is returning to Cambridge, following the success of 2016. Hosted at Robinson College between 11-13 September 2017, this technical conference will…