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Arm NN: Build and Run ML Apps Seamlessly on Mobile…
Arm NN SDK, a key piece of technology that makes it much, much easier to build and run ML applications on power-efficient, Arm-based platforms.
Arm Launches Machine Learning Developer Community
Arm’s new Machine Learning developer site is poised to become a valuable resource hub and accessible knowledge base for developers working on all types of computing platforms
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Machine Learning Blog
Research Articles:
Sparse Architecture Search (SpArSe): Democratizing and Enabling TinyML on Arm M-class
Igor Fedorov
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…
December 2, 2019
Research Articles:
Skipping RNN State-updates Without Retraining the Original Model
Urmish Thakker
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…
November 25, 2019
Research Articles:
Collaboration Case Study: Machine Learning Hardware with Harvard University
Paul Whatmough
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…
November 18, 2019
Machine Learning IP blog:
Using Arm v8 for Vision at the Edge
Mary Bennion
Read about the work to maximize performance using the Arm v8 architecture. Specifically, by taking advantage of the NEON (DSP instruction) and a Floating-Point Unit (FPU).
October 31, 2019
Machine Learning IP blog:
TensorFlow World PyBadge
Matthew Du Puy
TensorFlow is powering everything from data centers to edge devices, across industries. With TensorFlow 2.0 and the evolving ecosystem of tools and libraries, it is doing it all so much easier. At this…
October 28, 2019
Machine Learning IP blog:
Optimizing AI workloads with Ethos NPUs
Dylan Zika
The new Ethos-N NPU series addresses the performance needs of the most demanding ML use cases to deliver a superlative UX without compromising battery life.
October 23, 2019
Graphics and Gaming blog:
New Arm Mali-G57 GPU: bringing high-fidelity gaming and immersive experiences to the mainstream
Daniele Di Donato
Blog explores the features of the brand new Arm Mali-G57 GPU for mainstream smartphones and home appliances
October 23, 2019
Machine Learning IP blog:
New Arm ML guide: Deploying a quantized TensorFlow Lite MobileNet V1 model
Darren Doyle
Announcing an ML how-to guide which gives an end-to-end solution on using the Arm NN SDK. It acts as a great starting point for mobile app developers who want to trial the Arm NN SDK.
September 10, 2019
Machine Learning IP blog:
AI Basics: Training vs Inference – What’s the Difference?
Hellen Norman
So you know your ML from your AI? Great. Want to know more about training and inference? Read on...
September 10, 2019
Machine Learning IP blog:
BFloat16 processing for Neural Networks on Armv8-A
Nigel Stephens
The next revision of the Armv8-A architecture will introduce Neon and SVE vector instruction designed to accelerate Neural Networks using the BFloat16 format.
August 29, 2019
Research Articles:
Alpha-Blending: Quantizing networks without using the STE
Matthew Mattina
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…
August 16, 2019
Research Articles:
Taking Constrained ML to the Next Level
Charlotte Christopherson
One the primary research thrusts of our ML Research Lab is investigating ways to bring more machine learning applications to Arm's products, and to make existing applications more efficient.
August 6, 2019
Processors blog:
What’s the best IP for machine learning workloads – CPU, GPU or NPU?
Sylwester Bala
An outline of different machine learning use cases on devices and what workloads take place on the CPU, GPU and NPU
July 30, 2019
Machine Learning IP blog:
Powering the Edge: How Will YOU Do ML?
Dylan Zika
You’ve got a great little edge device, and you’re keen to add machine learning capabilities to assist local decision-making. So, what do you do next?
July 30, 2019
Machine Learning IP blog:
New online training course - Machine Learning using Arm
NickT
Arm is pleased to announce a new online training topic, Machine Learning using Arm. It covers Arm’s IP solutions for optimizing ML applications for Arm hardware.
July 9, 2019
Tools, Software and IDEs blog:
Getting started with deep learning models on Arm Cortex-A with MATLAB
Jason Andrews
MathWorks enables engineers to get started quickly and makes ML possible without having to become an expert. Learn about the power of MATLAB for deploying ML on Arm Cortex-A.
June 10, 2019
Graphics and Gaming blog:
New Valhall architecture for Arm Mali-G77 GPU brings big step-change in premium mobile
Andy Craigen
Introducing the Arm Mali-G77 GPU with new Valhall architecture that brings big-step change in premium mobile performance and efficiency.
May 27, 2019
Machine Learning IP blog:
Arm Ethos-N ML Inference Processors: Powering Exciting User Experiences on Edge Devices
Ian Forsyth
CPUs and GPUs are ML powerhouses in their own right, but the Arm ML processor delivers the most efficient processing for an exciting UX on edge devices.
May 27, 2019
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