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Scalable MTJ simulation: Reliable and efficient compact models
Fernando García Redondo
In part-two of the scalable MTJ simulation, we share a compact model and framework for the efficient and scalable simulation of circuits with MRAMs.
July 28, 2021
PlasticArm: Realizing the full potential of the Internet of Things
Charlotte Christopherson
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…
July 21, 2021
Buried interconnects for signal routing
Rahul Mathur
Buried interconnects can help mitigate the interconnect resistance issue and augment the technology scaling roadmap for sub-5nm process nodes.
July 16, 2021
Neural network architectures for deploying TinyML applications on commodity microcontrollers
Colby Banbury
TinyML seeks to deploy ML algorithms on ultra low power systems, to enable us to intelligently select which data to transmit, improving energy efficiency.
June 29, 2021
Engineering a career as a woman in technology research
Rhiannon Burleigh
We share the experiences of four of our colleagues, offering professional advice for those starting their career, and aiding understanding of what it's like to be a women in engineering.
June 23, 2021
Eliminating memory barriers with the Execution Dependence Extension
Ilias Vougioukas
Our research explores how adding new explicit instructions which define their fine-grain ordering requirements could reduce the need for memory barriers.
June 18, 2021
Improving federated learning with dynamic regularization
Paul Whatmough
IoT devices collect and transmit data to the cloud, where it is then analyzed and ML models trained. Privacy challenges arise when users are reluctant to share their personal data.
June 11, 2021
What you missed at the second On-Device Intelligence Workshop
Paul Whatmough
The workshop held in conjunction with MLSys 2021 brought researchers and practitioners together to discuss key issues, share new research results and practical tutorial material.
June 3, 2021
Arm Research’s collaboration with the Cambridge ELLIS Unit
Partha Maji
Arm Research is excited to be part of the Cambridge ELLIS Unit, focusing on two key elements: Bayesian statistics and Probabilistic ML.
May 21, 2021
SMARTER: How can edge computing support shared infrastructure?
Alexandre Peixoto Ferreira
Our approach to creating a shared Edge computing framework borrows from the cloud, where a user allocates resources in each physical node it requests access to.
May 4, 2021
Addressing the hardware supply chain security challenge
Rhiannon Burleigh
With the proliferation of smart devices, we need to make sure we are protecting our data. But have you ever considered the threat to the hardware supply chain?
April 30, 2021
Collaborating without divulging secrets with Veracruz
Dominic Mulligan
Veracruz explores how novel, data-intensive distributed systems can be built using Strong Isolation Technologies and remote attestation.
April 27, 2021
University of Cambridge: CHERI blossoms
Andrea Kells
Looking at how to make computers fundamentally more secure, the University of Cambridge with DARPA created CHERI, making compartmentalization more efficient and scalable.
April 21, 2021
Simplifying persistent programming with microarchitectural support
William Wang
Hardware-based coherence has simplified concurrent programming, and our work shows the improvements in performance and programmability.
April 15, 2021
Ensuring your AI is sure: Any place, anywhere, anytime
Tiago Azevedo
It is important in industry to define what we see and how well we see it. This simple yet powerful idea has driven recent developments in the Arm Research ML Lab.
April 9, 2021
Barcelona Supercomputing Center: An Arm Research Centre of Excellence
Rhiannon Burleigh
The Barcelona Supercomputing Center – Arm Research Centre of Excellence was formed to recognize the leadership and hard work in pioneering Arm in HPC.
March 10, 2021
3D stacking for next-generation high performance energy efficient systems
Brian Cline
Project Trishul demonstrates the feasibility and readiness of high-density, face-to-face, wafer-bonded 3D stacking technologies for high performance, energy-efficient designs.
March 4, 2021
Using multiple labels improves neural network learning
Axel Berg
A single label is not enough. Label diversity can be introduced by creating several labels for each training example in a way that the ordinal structure allows.
February 22, 2021
Arizona State University: On the same frequency
Andrea Kells
As part of DARPA’s Domain-Specific System on Chip program, Arizona State University assembled a team of academics and industry partners to pioneer a new approach to software-enabled radio frequency.
February 16, 2021
M0N0: A flashback
Benoit Labbe
Designing any power-converter is a matter of compromises. For M0N0, we focused on efficiency at an extremely low output power - but how?
February 11, 2021
University of Bristol: A Centre of Excellence
Rhiannon Burleigh
The University of Bristol is committed to making a positive impact in society via their research. What are our sponsored students working on?
February 5, 2021
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