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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.
Machine Learning Blog
Improving federated learning with dynamic regularization
IoT devices collect and transmit data to the cloud, where it is then analyzed and ML models trained. Privacy challenges arise when users are reluctant to share their personal data.
June 11, 2021
What you missed at the second On-Device Intelligence Workshop
The workshop held in conjunction with MLSys 2021 brought researchers and practitioners together to discuss key issues, share new research results and practical tutorial material.
June 3, 2021
How Arm’s Total Compute solutions will power the next decade of compute
This blog provides detailed information about Arm's new Total Compute solutions and the advance compute, security and developer experiences that they will empower.
May 25, 2021
The foundation of Total Compute: First Armv9 Cortex CPUs
This blog introduces the first Armv9 CPUs for a wide variety of consumer device segments.
May 25, 2021
Mali for all occasions: New GPUs for all graphics workloads, use cases and consumer devices
This blog summarizes the new suite of Arm Mali GPUs that targets every single market segment for consumer compute.
May 25, 2021
Arm Research’s collaboration with the Cambridge ELLIS Unit
Arm Research is excited to be part of the Cambridge ELLIS Unit, focusing on two key elements: Bayesian statistics and Probabilistic ML.
May 21, 2021
TensorFlow and PyTorch container monthly releases by Arm
Arm is now releasing PyTorch and TensorFlow container images monthly. In this blog, let us look at what is available in our 21.04 release and what is coming in the future.
May 13, 2021
Managing the Peaks for Commercial-Grade SLAM
How do you enable your robot to navigate the complexities of world and be successful with the tasks & jobs you give them? Think about the elements that go into SLAM and learn about best practices for deployment…
April 20, 2021
How market and technology trends will define the set-top box evolution
This blog explores the key market and technology trends that will define the evolution of set-top box devices in the next three to five years.
April 19, 2021
The Evolving Nature of Work
The rise of Artificial Intelligence (AI) technology and the Internet-of-Things (IoT) is giving rise to a fourth industrial revolution which is already having a fundamental impact on the nature of work…
April 12, 2021
Ensuring your AI is sure: Any place, anywhere, anytime
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.
April 9, 2021
Improve PyTorch App Performance with Android NNAPI Support
This blog post is about sharing our experience in running PyTorch Mobile with NNAPI on various mobile devices. I hope that this will provide developers with a sense of how these models are executed on…
April 6, 2021
Moving the gym to your living room: Body pose tracking on your Smart TV
This blog explains how developers can create fitness and exercise applications on Smart TVs for the end-user.
March 29, 2021
Getting real-time CNN inference for AR on mobile
This blog explains how to get real time results with CNN inference for Augmented Reality (AR) on Mobile.
March 15, 2021
Using multiple labels improves neural network learning
A single label is not enough. Label diversity can be introduced by creating several labels for each training example in a way that the ordinal structure allows.
February 22, 2021
Building a mobile AR filter app in Unity
This blog describes the process for building an augmented reality (AR) filter mobile app in Unity.
February 11, 2021
Making the most of Arm NN for GPU inference: FP16 and FastMath
Roberto Lopez Mendez
This blog demonstrates how to significantly reduce memory usage and achieve a substantial inference speed-up through enabling new Arm NN features.
January 26, 2021
Profiling Arm NN Machine Learning applications running on Linux with Streamline
This blog article introduces how to profile and optimize machine learning applications running with the Arm NN inference engine.
January 20, 2021