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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.
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Machine Learning Blog
It is time for natively flexible processors
Emre Ozer
The story behind our flexible processors paper started with how to make billions of everyday things smart.
July 13, 2020
Scalable Hyperparameter Tuning for AutoML
Mohit Aggarwal
Mango is an open source Python library for hyperparameter optimization, built for AutoML systems. Developed by Arm Research, Mango presents many useful features.
July 7, 2020
Unlocking the power of collaborative learning on Arm MCUs
Mary Bennion
Read this blog from Alexander Eroma, head of Intelligence at Octonion about collaborative learning with Arm MCUs.
July 6, 2020
TinyML: TVM Taming the Final (ML) Frontier
Mary Bennion
In this blog, read about TinyML and the optimization of TVM.
June 8, 2020
Introducing Arm’s AI Virtual Tech Sessions for Software Developers
Mary Bennion
Join Arm's AI virtual tech talk series covering the latest trends in machine learning development, including deployment, optimization, best practices, as well as new ML technologies shaping the industry…
June 8, 2020
Introducing the Arm Cortex-X Custom Program
Stefan Rosinger
Read this introduction to the Arm Cortex-X Custom Program, outlining what the new program entails and providing details about the new Arm Cortex-X1 CPU which is part of the program.
May 26, 2020
Arm Ethos-N78 NPU: Unprecedented Machine Learning Capability at your Fingertips
Raviraj Mahatme
This blog explores the key features and benefits of the Arm Ethos-N78 NPU.
May 26, 2020
Arm Cortex-A78 CPU: Sustained Performance for Greater Digital Immersion
Vincent Risson
This blog explores the key features and benefits of the Arm Cortex-A78 CPU.
May 26, 2020
Arm Mali-G78 GPU: Delivering True Immersive Entertainment on Mobile
Stephen Barton
This blog goes through the key features and benefits of the Arm Mali-G78 GPU.
May 26, 2020
Even Faster Convolutions: Winograd Convolutions meet Integer Quantization and Architecture Search
Javier Fernandez-Marques
The design of deep learning (DL) neural network (NN) models targeting mobile devices has advanced rapidly over the last couple of years. Important computer vision tasks have led a community-wide transition…
April 29, 2020
SCALE-Sim: A cycle-accurate NPU simulator for your research experiments
Paul Whatmough
Architecture simulators are a key tool in the computer architecture toolbox. They provide a convenient model of real hardware at a level of abstraction that makes them faster and more flexible than low…
April 21, 2020
Train a TinyML model to recognize sounds that uses 23 kB of RAM
Mary Bennion
Read about how to train a TinyML model to recognize sounds.
April 6, 2020
Total Compute: Providing the Compute Performance for Future Digital Immersion
Ian Smythe
Introducing Total Compute and how it will provide the necessary performance for full digital immersion on next-generation devices.
April 6, 2020
TinyML Applications Require New Network Architectures
Urmish Thakker
Researchers have studied neural network compression for quite some time. However, the need for always on compute has led to a recent trend towards executing these applications on even smaller IoT devices…
February 13, 2020
Arm Cortex-M55 and Ethos-U55 Processors: Extending the Performance of Arm’s ML Portfolio for Endpoint Devices
Thomas Lorenser
The new Arm Cortex-M55 and Ethos-U55 processors significantly increase machine learning and signal processing performance efficiently for the next generation of AI-capable IoT devices. Read this blog to…
February 10, 2020
A Year of Discovery: Arm Research 2019
Rhiannon Burleigh
2019 was yet another year of incredible technology discovery for Arm Research. Inspiring advancements have been made across the research community, and Arm Research has contributed to this. Our teams have…
January 6, 2020
An Introduction to Machine Learning on Mobile
Pablo Hernandez Almudi
A blog about machine Learning that discuss some ideas and experiences that might get you interested in creating your own ML app.
December 16, 2019
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
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