Research Collaboration and Enablement

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.

Increasingly, intelligent applications are using neural networks at their core to deliver new functionality to users. These applications include language understanding and translation, image recognition…

Andreas Burg, Associate Professor at EPFL, joined us at last year's Research Summit to discuss Gain Cell eDRAM as an alternative to conventional SRAM memories.

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.

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…

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…

Members of Arm Research explore the numerous challenges facing our industry and, outline the direction for Research in the near future.

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…

M0N0 is advertised at 10nW shutdown power, but it is not all sleeping power. There is a piece of circuit constantly monitoring your battery, ensuring there is enough energy stored for M0N0 to perform…

Arm DesignStart for Academia offers easy access to the Cortex-M0 and Cortex-M3 processors for teaching (DesignStart Eval), research (DesignStart Pro Academic), and commercialization (DesignStart Pro).

Our partnership with the University of Cambridge extends to their PhD students. From soft robotic applications to Armv8-A system-level semantics, get to know them and their research.

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

Arm Research are investigating a hardware-software codesign solution to support auto-vectorization, called Speculative Vectorization with Selective Replay.

Our collaboration with the University of Edinburgh supports fundamental research questions across a wide range of computer science.

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…

Sorbonne Université has been using Arm processor source code for modelling and verification on the hardware at the micro-architectural level.

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.

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…

Over 560 delegates from 47 countries, 14 hours of content from 20 talks and one 3D platform. Catch up on the Arm Research Summit 2020, including all talk recordings.

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…

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…