Machine Learning Blog

We're excited to announce some of our recent collaborations in mobile and camera tech, some of which we will be showcased at the MWC 2018.

We are launching Project Trillium to kickstart a new wave of invention in the world of artificial intelligence (AI), of which machine learning is a key part.

The Arm ML processor is a brand new design for the mobile and adjacent markets - such as smart cameras, AR/VR, drones, medical, consumer electronics

What would you do with a Cortex-M4, a neural network, some Lego and cable ties? Sebastian Förster built a small, four-legged robot and taught it to walk.

Develop your Convolutional Neural Networks using just the Compute Library and a Raspberry Pi with this step-by-step guide.

In this blog, I will try to use a sample Convolutional Neural Network (CNN) as an example to descript how to use Arm development solutions to enable Machine Learning (ML) on device.

Arm now supports Android Neural Networks API (NNAPI) with open-source, optimized NN operators that deliver serious performance uplift across CPUs and GPUs

Artificial Intelligence is still in the early stages of adoption, but it is clear that Machine Learning will move to the edge of the network to enable new use cases and drive innovation.

CMSIS-NN is a library of neural network kernels that maximizes the performance & efficiency of DNNs on Cortex-M-based platforms for smart IoT edge devices.

It is possible to optimize neural network architectures to fit within the memory and compute constraints of microcontrollers without sacrificing accuracy.

Our predictions about how the key themes of AI and Machine Learning (ML), IoT, security and blockchain are likely to begin to make a real difference in the way all of us interact with technology in 20…

Amiko Respiro smart asthma inhalers use machine learning and Arm low-power Cortex-M processors to montior and improve treatments - and change lives.

Part 2: Highlights from Data Science Africa 2017, sponsored by Arm. Great examples of IoT & Machine Learning deployed to solve real-world problems.

Part 1: ArmMbed is a gold sponsor of Data Science Africa 2017 in Arusha, Tanzania. Here's how we got there and why. Also featuring a smart office plant!

The 2017 Arm TechCon program features technical and keynote sessions on IoT, autonomous vehicles, artificial intelligence and machine learning and more.

We’ve talked about how the new Mali-G72 GPU is providing better than ever performance for on-device Machine Learning, but we haven’t talked much about why it’s so good so we’re going to look at that now…

ARM will be attending the High Performance Graphics 2017 event and will be holding a session on compression of Deep Neural Networks with ASTC. In this blog we discuss this in more detail.

Monday morning in Taipei and the public holiday for the Dragon Boat Festival doesn’t slow the momentum of the technology industry.