Arm Research Collaboration's Centres of Excellence represent our collaborative links with academia, supporting cutting-edge research. The University of Southampton is one of these Centres where we part…

As cloud computing has become more pervasive, services providing new run-time options and programming models have emerged. The final part of the SMARTER series explore EdgeFaaS, with features including…

Academic researchers can now get free access to Arm Cortex-A5 for academic use, including full subsystem RTL to open up new research opportunities.

Part four of the SMARTER series, edge devices are typically behind firewalls, making it impossible to connect to them with SSH. Deploying an application to a remote edge device may show problems once the…

Part three of the SMARTER blog, smarter-device-manager enables containers deployed using Kubernetes to access devices available on the node. A capability essential for IoT applications running at the edge…

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…

Part two of the SMARTER blog series, decentralizing applications from data centers to machines closer to where valuable data is collected has become an catalyst for rethinking the way we manage application…

The decreasing cost and power consumption of intelligent, interconnected, and interactive devices at the edge of the internet are creating opportunities to instrument our cities, factories, farms and environment…

STEM for Britain is an annual poster competition for early-career researchers in science, technology, engineering and maths. This year, Ben Fletcher was selected to present his research in the finals to…

In the current technology scaling paradigm, semiconductor device physics and conductor parasitics are fundamentally limiting microprocessor performance beyond the 7nm process node. There are two major…

The Arm Research Summit 2020 is tackling challenges and identifying opportunities in how technology can address ever-more complex global challenges facing our industry. With a broad focus across improving…

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…

Following many years of collaboration on a range of research projects, Arm Research and the University of Bristol have established an Arm Centre of Excellence. Six months in, the Centre of Excellence is…

The Arm Research Summit has been engaging academics, industry experts and researchers since 2016, promoting collaboration in a research led environment. Overtime the Summit has grown and developed, seeing…

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…

The Arm Research Enablement team announced some exciting new initiatives at the Arm Research Summit 2020, focusing on the needs of the academic research community. Enablement are dedicated to working closely…

IoT sensor nodes place severe energy constraints on computing platforms. Duty-cycling helps to reduce the power of the sensor node to save energy, but requires an ultra-low-power timer for reliable timed…

The Arm Research Summit fuels collaboration, research and innovation with delegates from a range of research, academic and industrial backgrounds. The Arm Research Summit 2020 will take place online, 9…

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…