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Workshop for HOL4 users
Kurt Lorenzen
Tue 25th - Wed 26th June 2024 About A workshop to bring together developers/users of
the HOL4 interactive theorem prover
. The hope is to: Understand the landscape of current HOL4 usage by hosting presentations…
April 17, 2024
‘More-Than-Moore’: Japanese Semiconductor Research
Becky Ellis
Work to push the limits of semiconductor miniaturization is thriving in academia, using Arm Academic Access IP at Kyoto University.
April 11, 2024
Accelerating at the Edge
Andrew Pickard
Telecom Paris have developed an accelerator for deep neural networks to run on Edge devices, so that data no longer needs to be processed in the cloud.
April 6, 2024
When is a brain not a brain?
Andrew Pickard
Duke university are using systolic arrays to accelerate Deep Neural Networks so that they can run on edge devices.
April 5, 2024
Breaking the bottleneck
Andrew Pickard
Andreas Gerstlauer, a Professor of Electrical and Computer Engineering specializing in embedded systems at The University of Texas Austin, explains how his team has worked with Arm technology to clear…
March 4, 2024
Apollo: Made to measure
Andrew Pickard
A researcher at Duke University developed a means of comprehensively measuring power consumption, on-chip, accurately, and in real time.
February 23, 2024
Processing with purpose
Andrew Pickard
A research team at UCLouvain in Belgium has designed an ultra-low power Arm-based SoC that reduces the requirement for batteries.
February 23, 2024
An injection of ingenuity
Andrew Pickard
A group of French researchers are collaborating on Arm IP to build defences against one particular type of attack, fault injection.
September 15, 2023
Overcoming resistance
Andrew Pickard
Improving the characteristics of interconnects as device dimensions scale smaller.
September 22, 2022
Hands-on experience at Singapore Management University
Andrew Pickard
SMU has been working on the SAP Next-Gen student project, to develop innovative sustainability solutions using SAP software and real-world IoT devices from Arm's partner ecosystem.
May 30, 2022
Cryptography: what is under the mask?
Andrew Pickard
Sorbonne Université has been using Arm processor source code for modelling and verification on the hardware at the micro-architectural level.
May 26, 2022
How about a short walk?
Ilias Vougioukas
Current solutions to improve virtual to physical translation performance are impractical. We present an alternative, where a small change has a significant impact.
March 10, 2022
SpiNNaker: Next-level thinking
Charlotte Christopherson
SpiNNaker1 connected a million mobile phone processors, operating in some ways like a brain. SpiNNaker2 will drive the next generation of AI.
January 31, 2022
Sparking potential for community development: Arm Education Kits now available on GitHub
Dipesh Patel
University Program materials are now even easier to access via GitHub. Use our resources, tools and more to spark the potential of your students.
January 24, 2022
Fast and accurate keyword spotting using Transformers
Axel Berg
On-device automatic speech recognition is now becoming feasible and is useful in scenarios without internet connection or when data privacy is a concern.
January 10, 2022
Smart Atomic Memory Operations and Advanced Sparse Data Structures at BSC
Andrea Kells
Read about two Arm-sponsored PhD students and their work into Smart Atomic Memory Operations and Advanced Sparse Data Structures at the Arm-BSC Centre of Excellence.
December 14, 2021
Speculative Vectorization with Selective Replay
Giacomo Gabrielli
Arm Research are investigating a hardware-software codesign solution to support auto-vectorization, called Speculative Vectorization with Selective Replay.
November 29, 2021
Radar SoC: detected at the cutting-edge
Charlotte Christopherson
Korea Electronics Technology Institute director Sungho Lee gives us the lowdown on their Radar SoC innovations – and how his team’s ambitions were enabled with Arm’s Cortex-M3 and NIC-400.
November 23, 2021
Fast power-modelling for accurate CPU power-introspection
Shidhartha Das
APOLLO achieves fast, yet accurate power-modelling for both design- and runtime power-introspection within the same unified framework.
November 9, 2021
FixyFPGA: Fully-parallel and fully-pipelined FPGA accelerator for sparse CNNs
Jae-sun Seo
Most conventional FPGA-based accelerators use off-chip memory for data transformation, then perform computation for a single-layer in a time-multiplexed manner. Throughput is often limited by the memory…
September 28, 2021
Scalable MTJ simulation: How to efficiently analyze stochasticity in MRAM (2/2)
Fernando García Redondo
In part-two we continue to explore the simulation, characterization, and analysis of MRAM stochasticity, sharing a compact model and framework.
August 2, 2021
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