Recurrent Neural Networks (RNNs) are an important class of algorithms. They are used in tasks where the strict order of the input conveys certain information, for example, natural language processing (NLP) and time-series based data. Increasingly, these…

This December, software developers, data scientists, researchers and industry experts will meet at the Computer History Museum in Mountain View, California for the first Arm AIoT Dev Summit. The Summit will take place between the 2^nd and 3^rd December…

Partnerships are important to us at Arm. We are an ecosystem company, which means that we strive to work together with partner companies for mutual success. This philosophy extends to Arm Research, where partnerships allow us to extend our reach further…

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. Increasingly complex demands have driven the development of smart sensors to monitor…

When developing vision applications, the most common knowledge gap we encounter is a lack of understanding; regarding the performance required and what can be achieved with a given hardware architecture. The confusion partly stems from dissimilar benchmarks…

TensorFlow is powering everything from data centers to edge devices, across industries from finance to advanced healthcare. And now, with TensorFlow 2.0 and the evolving ecosystem of tools and libraries, it is doing it all so much easier. At this year…

We are excited to expand our Mali graphics portfolio with the new Arm Mali-G57 GPU, bringing a range of new features and immersive experiences to the mainstream market. Mali-G57 is the first mainstream GPU based on the new Valhall architecture, following…

Today’s Artificial Intelligence (AI) use cases are moving beyond the hype, delivering real value to consumers with vision and voice-based use cases. Image classification requirements are exploding upward with real-time video processing at increased resolutions…

We are very pleased to announce the launch of a machine learning how-to guide – Deploying a quantized TensorFlow Lite MobileNet V1 model.

The guide provides an end-to-end solution on using the Arm NN SDK. It walks you through creating a program which…

Neural Networks are a key component of Machine Learning (ML) applications. Project Trillium, Arm’s heterogeneous ML platform, provides a range of technologies in this field, including instructions that accelerate such applications running on CPUs based…

Imagine you have a dog. Let’s call her Bingo. You’d like Bingo to fetch her leash whenever you say, “Walkies!” So what do you do? You train her. Maybe you wave the leash and say, “Walkies!” Next time, you might repeat the command word, while pointing…

Increasingly, intelligent applications are using neural networks at their core to deliver new functionality to users. These applications include language understanding and translation, image recognition, and object tracking and localization. Furthermore…

The Arm ML Research Lab explores cutting edge techniques and state-of-the-art algorithms. One of our primary research thrusts is investigating ways to bring more machine learning applications to Arm's products, and make existing applications more efficient

The Arm ML processor, designed to deliver the highest throughput and most efficient processing for on-device inference, is based on a brand new architecture. Arm's Dylan Zika explains how the development team set about defining requirements and building…

At Arm we’re often asked by partners, developers and other interested parties within the complex and huge machine learning (ML) ecosystem which processors are best at performing specific ML actions on different devices. As described in this Arm…

We live in a world where voice-based products have significantly changed the way we communicate with technology. It is predicted that smart assistant devices in the home will grow by 1.6 billion units in 2022 in the US alone. Soon, you will be able to…

We are very pleased to announce a new online training topic - Machine Learning using Arm.

About the course

This training topic covers essential information on Arm’s IP solutions for optimizing Machine Learning (ML) applications for Arm hardware. The…