When the University of Michigan partnered with Arm Research on a project for DARPA, there was a remaining technical gap the team needed to bridge, and Arm Research knew the ideal partner.
Integrated reciprocal conversion with selective direct operation for energy harvesting systems
Powering a trillion wireless sensor nodes each using a small lithium coin cell would require approximately 109,000 metric tons of Lithium - nearly three times the annual worldwide production.
Watch the Arm Research Summit live!
The Arm Research Summit is just around the corner, taking place between 17-19 September in Cambridge, UK. If you missed out on tickets to the event, you can watch it live on YouTube across all three days…
Efficient Hardware for Mobile Computer Vision via Transfer Learning
Mobile computing is on the rise, and currently moving into some really exciting new applications and form factors – augmented reality (AR) glasses, unmanned aerial vehicles (UAVs), automated driver assistance…
Arm Research Summit 2020 | Global Technology Challenges
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…
Collaboration Case Study: Machine Learning Hardware with Harvard University
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…
CRISPR Gene-Editing Technology at the Arm Research Summit
In this blog series, we take a look back at some of the highlights from last year's Arm Research Summit. Interested in attending this year? Find out more here.
Alasdair Russell from Cancer Research…
New Arm-based computing system to enable deep space missions
In space, radiation can disrupt or even destroy electronic circuits, which makes radiation-hardened, multi-processor, high-reliability computing systems essential for deep space exploration. In a project…
Efficient Bug Discovery with Machine Learning for Hardware Verification
For present-day microprocessors, it is even more challenging to identify bugs. Using (ML) to efficiently identify bugs, we've seen a 25% increase in efficiency than the default verification workflow. …
Scalable Hyperparameter Tuning for AutoML
Mango is an open source Python library for hyperparameter optimization, built for AutoML systems. Developed by Arm Research, Mango presents many useful features.
Arm Researcher wins IEEE ComSoc Award in Parliament | STEM for Britain 2020
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…
Wireless 3D Integration – Making Stacking Silicon as Easy as Stacking Lego (2/2)
The previous instalment of this blog discussed the benefits that contactless - or wireless - 3D integration can offer in an Internet of Things (IoT) context. But how are they designed? This blog dives…
Bridging the Gap Between Arm Physical IP and Academic Research
Logic IP, such as Standard Cell (SC) libraries, are the foundation for the entire backend design and optimization flow in modern application-specific integrated circuit designs. Arm has long been building high…
Tasking Lives Up To Its Promises
Tasking could help overcome a major resource underutilization issue in High-Performance Computing, When parallel applications partition and distribute compute and data across processors in the system,…
Skipping RNN State-updates Without Retraining the Original Model
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…
Mbed Secure Device Access: Enhancing IoT device management with user authentication and fine-grained access control
The current specification for LwM2M is not a good fit when the server itself is a constrained IoT device and when user authentication together with fine grained dynamic access control is demanded. Complementing…
Running Trusted Firmware-A on gem5
Arm has prioritised security, introducing TrustZone. A key component of TrustZone is the Secure Monitor, providing context switching between REE and TEE.
Improving firmware updates for Internet of Things devices – The IETF SUIT Hackathon
The Internet Engineering Task Force met in London from March 17th – 23rd for the first face-to-face meeting of the IETF Software Updates group for Internet of Things (SUIT). The SUIT working group is chartered…
Hardware Side-Channels: Can Performance and Security Coexist?
The year 2018 will be remembered in computing history for the discovery of the Spectre and Meltdown exploits. With understandable focus in this domain from both academia and industry, we ask whether security
Power Delivery for High-Performance Mobile Systems (1/3)
Power delivery is a well-known challenge for high-end enterprise server and desktop-class systems. Guaranteeing a tolerance on the supply rails even while delivering a high current at low supply voltages…
The Arm Research Workshop on Novel Algorithms
Arm Research is responsible for delivering a clear vision of disruptive and emerging technologies, and how they may affect our future. This disruptive technology landscape is used to develop our research…