The next revision of the Armv8-A architecture will introduce Neon and SVE vector instruction designed to accelerate Neural Networks using the BFloat16 format.
The addition of Clavister to the Arm ecosystem is another demonstration of a forward-looking software vendor who sees the advantage of Arm-based technology in the changing world of networking infrastructure…
This blog offers an overview of the Arm SCMI white paper and specification. It outlines improved power and performance management of a SoC, as well as enhanced system control functionality using SCMI.
Arm is pleased to announce a new online training topic, Machine Learning using Arm. It covers Arm’s IP solutions for optimizing ML applications for Arm hardware.
Picture your smart assistant at home: you say a command, and it recognizes your voice, processes what you’re saying and responds. This is an example of a multi-sensor device that requires signal processing…
Arm has been working with partner companies to release Electron 6 to support Windows on Arm PC devices, which will provide a significant boost to the Windows on Arm ecosystem.
Introducing the Arm Cortex-A77 CPU which provides a significant performance boost for next generation devices and continues Arm's path towards compute performance leadership.
CPUs and GPUs are ML powerhouses in their own right, but the Arm ML processor delivers the most efficient processing for an exciting UX on edge devices.
In 2016, SoftBank founder and CEO Masayoshi Son took to the Arm TechCon stage to paint a bold vision of a world of a trillion connected devices. It’s a goal the industry has worked feverishly toward ever…
Learn how RelChip developed an Arm Cortex-M based microcontroller with the widest operating temperature range in the world to be used for applications in extreme conditions, from geothermal to aerospace…
Machine learning is changing the way we interact with technology. Arm's Chris Shore talks to Imagimob about their intelligent software solutions with actionable insights in real-time.
Find out how NeoWine turned to the Arm DesignStart program to create a secure encryption ASIC and high performance MCU for drones, based on the Arm Cortex-M0 and Cortex-M3 processors.
Google partners with Arm to develop TensorFlow Lite Micro; uTensor – an inference library based on Arm Mbed and TensorFlow – becomes part of the project.
Machine Learning on Arm Cortex-A, a technical webinar from Arm, is now available on demand. It shows developers how to move neural network workloads around an SoC quickly and easily using Arm NN.