At the heart of everything, we do at Arm is the need to deliver performance with efficiency. We need the performance improvements to enable and improve the range of digital immersion use-cases on mobile devices. These cover common productivity, communication…

Today’s mobile devices act as hub for everything we do with thousands of different use-cases and millions of apps. The modern smartphone, for instance, not only makes phone calls and sends messages. It emails, takes photos, records and streams videos…

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…

Today, I’ve teamed up with Ram Cherukuri of MathWorks to provide an overview of the MathWorks toolchain for machine learning (ML) and the deployment of embedded ML inference on Arm Cortex-A using the Arm Compute Library.

MathWorks enables engineers…

Following the great success of last year’s Arm Cortex-A76 CPU, we are excited to launch the third generation DynamIQ ‘big’ core Arm Cortex-A77 CPU. It is the second in the family of high-performance, highly efficient CPU products built…

I know, I know… it’s been a while since I wrote my last Arm Compute Library blog, but I promise that your patience will be rewarded. There’s a whole host of freshly integrated functions, features and performance optimizations that I want to share with…

If you missed the recent technical webinar, Machine Learning on Arm Cortex-A –  it's now available on demand. This showed how developers can move neural network (NN) workloads around an SoC quickly and easily using Arm NN, facilitating software portability…

There’s no denying that Embedded World (EW) is a whirlwind – 1000 exhibits, 35,000 visitors and over 2,000 industry participants – but now that it’s all over and the dust has settled, I wanted to take a moment to reflect on its impact, and consider the…

Obviously, Father Christmas – or Santa Claus or whatever else he’s known as – is real. Whoever tells you otherwise is either misinformed or simply a liar. However, he can only deliver all of the presents for children around the world in just one evening…

Now is the time to register for Arm TechCon 2018, happening October 16-18 at the San Jose Convention Center. The agenda for the conference is now available and includes over 70 hours of sessions with seven technical tracks.

Accelerating & Optimizing Machine…

In the past four years alone, we have witnessed an amazing expansion of compute. Go inside the numbers of the recent 100 billion Arm-based chips milestone and you will see that 50 billion were shipped by our partners from 2013 to 2017, which demonstrates…

These days, just about everyone in the technology industry is talking Artificial Intelligence (AI) and Machine Learning (ML). There’s a huge amount of excitement and a rush to be the first to get it right. What you might have noticed in this dialogue…

The launch of Arm support for the Android Neural Networks API (NNAPI) sees the release of open-source, optimized neural network operators that deliver significant performance uplift across CPUs and GPUs.

Back in May at Google I/O, we heard the first public…

Emerging technologies like machine learning (ML), virtual reality (VR), augmented reality (AR), and computer vision (CV) are providing fantastic opportunities for innovation and business growth across the whole Arm ecosystem and in all market segments…