Blogs

Arm is fully committed to providing the IP, software development tools, test libraries and documentation required for successful, efficient development of a wide range of applications.

Building on the popularity of Arm-based SoCs in markets such as automotive, industrial and healthcare, we announce Arm’s highly optimized runtime software components for use in safety-related and safety…

In the coming years the IoT presents an enormous opportunity to transform society by unlocking and unleashing a world of data that until now has been uncollected or unused.

Functional safety is a foundational pillar for Arm in designing our purpose-built IP for automotive, which requires us to take an end-to-end approach and design with the entire vehicle in mind.

Space is sexy again for the first time in a generation. The demand to get SmallSats in space is very high and the number that will be put into orbit is constrained by the limited launch capacity.

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

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.

Securing embedded systems has become a critical task for developers. It is nearly impossible to turn on the news and not hear about yet another major security breach.

Synopsys is proud to have collaborated with Arm on the development of this new AMBA 5 AXI5 and ACE5 specification and also deliver the first source code test suite and Verification IP (VIP) for these new…

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.

This article provides some confidence that the Linaro deliverables can be adapted when a project is a little different from the default assumptions.

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

This tutorial explains how to create a simple SystemC model using Cycle Model Studio and run it with a Verilog testbench using EDA partner simulators.

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 is happy to announce the release of the next generation of AMBA 5 ACE5 and AXI5 protocols.

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

Nordic announces the nRF9160 System-in-Package (SiP) - the very first chip to implement the Arm Cortex-M33 processor (with TrustZone) and Arm CryptoCell-310.

In this post we demonstrate how to use Arm's Compiler 6 toolchain to build an executable image for the AEMv8 Base Platform Model.

We have invested in our online training platform, further developed online content and invested in a ‘Classroom training in the digital age’ training programme. Find out more in this blog

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.