Machine Learning Blog

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.

This blog describes the process for building an augmented reality (AR) filter mobile app in Unity.

This blog demonstrates how to significantly reduce memory usage and achieve a substantial inference speed-up through enabling new Arm NN features.

This blog article introduces how to profile and optimize machine learning applications running with the Arm NN inference engine.

In this blog, learn how to start your development with a free Ethos-U55 platform.

Arm and MLCommons, a global engineering consortium are working together to push industry benchmarks and best practices for AI.

What is TVM? A quick guide on why developers focused on ML Deployment should be aware.

In this blog, read about how to accelerate Edge Computing with Arm Ethos-N78 and Artisan.

Read about Arm Ethos-U65 and the expansion of Artificial Intelligence (AI).

Read the announcement of the new Machine Learning how-to guide - Add a new operator to Arm NN.

To help companies find the breakthrough innovations needed to support the Global Goals, the UNGC set up the Young SDG Innovator Program, which our colleagues in Arm joined.

This blog explores how to make the most of Arm NN for GPU inference through the new OpenCL Tuner.

This blog describes what smart pruning is and how it improves machine learning performance on mobile.

This blog explains exactly what Arm means when it talks about 'digital immersion' experiences, how they benefit the end-user and how digital immersion will evolve in the future.

For present-day microprocessors, it is even more challenging to identify bugs. Using (ML) to efficiently identify bugs, we've seen a 25% increase in efficiency than the default verification workflow. …

In this blog, read about Hivemall with Next Best Action (NBA) and how to build scalable solutions.

We are generating, storing, and processing more and more data. Find out in this blog how computational storage generates insights and value from that data.

The size and computational complexity of neural network models continues to grow exponentially. However, the increase in computational requirements presents a major challenge to their adoption. Could Residue…