Machine Learning Blog

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).

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.

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…

In this blog, Masaaki Tokuyama, Founder & CEO, AnchorZ Inc. describes a different approach to device security by using biometrics combined with user behavior.

Read this blog written by Chris Rogers, CEO SensiML.

Read about super resolution on Arm NPU, content written by Alex Shang, Yabin Zheng, Mary Bennion, and Alex Avramenko. Background In the consumer electronics industry, high resolution has become widespread…

We hear lots of predictions about how autonomous devices will change our lives. Find out in this blog how Endpoint AI will unlock the next generation of IoT applications.

In this blog, written by Vikrant Tomar, Sam Myer and Kirsten Joe of Fluent.ai, read about multilingual speech recognition for Arm Cortex MCUs.

In this blog, read about Platform Security Architecture (PSA) and the Security Architecture Toolbox used to protect Machine Learning (ML) models on the edge.

In this blog, read about what COVID-Net is doing in embedded healthcare.

Neural networks are becoming widely used in computer interaction, but in real-world scenarios we see errors. We’ve recently completed research into edge distillation to solve this problem.

The story behind our flexible processors paper started with how to make billions of everyday things smart.