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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
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.
Facebook and Arm ML: Going Beyond the Perfect Selfie
Facebook Artificial Intelligence and Arm Compute Library are working together to enable optimal machine learning applications.
Machine learning is a huge part of my life – but I didn’t realize this until I joined Arm
Being over four months into my new job at Arm, I'm still learning about the company and all the many areas of technology that we're involved in. One of these areas is machine learning (ML).
Quick and Easy Speech Transcription with Cloud-Based ML
This guide shows you how to set up client-server speech transcription deployed as a service running on cloud-hosted Arm servers for just $3.
Develop machine learning applications on Cortex-A at Arm TechCon 2018
Arm TechCon 2018 is coming. One highlight is a hands-on workshop with Cortex-A CPU and Mali Graphics technology: Accelerating and Optimizing Machine Learning on Arm Cortex-A, on October 17.
Accelerating ML Collaboration with Arm NN and Linaro
Arm is donating the Arm NN inference engine and software developer kit to Linaro’s Machine Intelligence Initiative, and opening it to external contributions.
A Deep Learning Survival Guide for Computer Architects
Over the last few years, there’s been a terrific amount of interest in artificial intelligence, and specifically the branch of machine learning known as 'deep learning'. This post provides a brief overview…
Deploying Convolutional Neural Network on Cortex-M with CMSIS-NN
This tutorial is for embedded software developers who want to apply Machine Learning on Arm Cortex-M with CMSIS-NN.
Showcasing Arm-based IoT Solutions at Google Next '18
Join Arm at Google Next '18 conference to see the latest secure client platforms, along with low-power machine learning at the edge.
Arm invests in SWIM.AI to enable machine learning and data analysis at the edge
Arm recently invested in SWIM.AI’s Series B to accelerate developers in creating the apps that will define the edge computing era.
AR and ML using Google ARCore, Arm NN in Unity running on mobile devices
This blog shares our experience developing our AR and ML demo using Google ARCore and Arm NN in Unity. Throughout this guide I'll point out the most important steps.
Deploy State-of-the-Art Deep Learning on Edge Devices in Minutes
Deploying advanced deep learning algorithms on edge devices, especially for computer vision applications like autonomous vehicles and IoT, requires special capabilities.
Open standards: Enabling high performance infrastructure systems with CCIX
Designers looking for an open HP cache-coherent chip to chip accelerator interface with an easy migration path from today’s PCIe should consider CCIX for their next SoC.
Mobile reimagined: Changing your world
The uptake and advancement of new use cases in the smartphone market means previous generation devices eventually won’t be able to run the advanced workloads and use-cases that are becoming increasingly…