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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
Machine Learning Blog
Living on the Edge: Why On-Device ML is Here to Stay
Discover why on-device machine learning is here to stay – and what it's already doing for you.
Efficient Hardware for Mobile Computer Vision via Transfer Learning
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…
AI vs ML – What’s the Difference?
AI and ML are NOT the same thing. Want to know the difference? Read on…
After Embedded World: What’s Next for Embedded ML?
There’s no denying that Embedded World (EW) is a whirlwind – 1000 exhibits, 35,000 visitors and over 2,000 industry participants – but now that it’s all over and the dust has settled, I wanted to take…
Be the next speaker at Arm TechCon 2019
Arm is pleased to announce the opening of the Call for Papers for its international event Arm TechCon taking place October 8-10, 2019.
Case study: Start-up uses DesignStart Pro to create proof of concept, securing $16m in funding
Find out how this start-up uses Arm DesignStart to create proof of concept and secures $16m in funding
Mobile World Congress 2019: Secret Accounts, Robot Teachers and Retiring at 73
MWC has chosen the theme of Intelligent Connectivity this year. At face value, it is an obvious choice given the explosion of what I call the Fifth Wave of Computing i.e. the combined impact of IoT, AI…
Getting started with Arm Helium: The new vector extension for the M-Profile Architecture
Arm announces Armv8.1-M, the latest version of the Armv8-M architecture, including the new M-Profile Vector Extension (MVE). Arm Helium is the MVE for the Arm Cortex-M processor series.
Arm NN: the Easy Way to Deploy Edge ML
Arm NN makes it easy to move NN workloads around an SoC, reducing the need for processor-specific optimization and facilitating software portability.
Raspberry Pi Robots Bring ML to the Classroom
Discover how an exciting Arm machine learning tutorial helped teenagers build their own robots based on Raspberry Pi Zeros.
How machine learning at the edge is helping to save Rudolph this Christmas
This blog provides details about how machine learning at the edge is helping to save reindeer this Christmas through a reindeer cam that alerts train drivers when reindeer stray onto the train lines in…
A look inside the Cortex-A5 CPU, available through DesignStart
Arm expanded its fast-access IP program to include the Linux-capable Arm Cortex-A5 processor. Find out the four big aspects that make Cortex-A5 DesignStart stand out and what is included in the program…
The Arm Research Workshop on Novel Algorithms
Arm Research is responsible for delivering a clear vision of disruptive and emerging technologies, and how they may affect our future. This disruptive technology landscape is used to develop our research…
Giving a flexible edge to the IoT
As the Internet of Things (IoT) continues to revolutionise our daily lives, the demand for smaller, smarter, and more diverse flexible technology has never been greater. A new collaborative project is…
Arm Always-On Mobile Face Unlock Achieves Over 98% Accuracy
Arm’s face verification system is a real-time proof of concept that achieves 98.36% accuracy, running efficiently on Arm machine learning-optimized platforms.
Arm-based Innovations from Chip to Cloud – See Us at Arm TechCon 2018
Arm TechCon is next week, October 16 – 18. Visit the Arm booth, #525, to see demonstrations from Arm and a few of our ecosystem partners.
New CryptoCell Security IP reduces Time-to-Market and meets Chinese Crypto Standards
New Arm CryptoCell Security IP provides a number of benefits to meet complex security challenges, including reducing Time-to-Market for Arm's partners and meeting Chinese Crypto Standards.
Dealing with Security Threats: Trusted Execution Challenges in Mobile and Beyond
As more people use their mobile devices for a range of everyday online tasks, from shopping to banking, the security threat to smartphones and other connected devices is only likely to increase.