One of our goals at Arm is to enable more people to create and deploy their own machine learning (ML) enabled apps. Whether you are an experienced developer or if it is your first time venturing into the ML application world, this blog highlights some…

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…

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…

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…

Yesterday, at Google I/O, Google announced that they are partnering with Arm to develop TensorFlow Lite Micro and that uTensor – an inference library based on Arm Mbed and TensorFlow –  is becoming part of this new project. (See the Mbed b…

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…

In September 2018, Arm donated Arm NN software to Linaro as part of its Machine Intelligence Initiative. The donation was significant, with Arm NN being the product of 100-man years of effort. The uptake of Arm NN has already been huge, with our own estimations…

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…

Machine learning (ML) is no longer the new kid on the block. We’re almost all familiar with the concept of personal assistants, connected homes and a seemingly limitless torrent of gadgets that can improve our lives – as long as we have a data connection…

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…

When ancient man first got round to putting wheels under things, it’s unlikely that it was a lone genius having a eureka moment that gave birth to the ultimate Neolithic must-have. Like all technologies, the wheel was almost certainly a collaborative…

Mobile continues to be a very dynamic industry, thriving with technical innovation, particularly around camera related technologies. In 2017 over 1.2 Trillion (that is 1,200,000,000,000) photos were taken with mobile devices. With over 1.5bn devices shipping…