Mobile blog

LightweightM2M is a device management protocol designed for sensor networks and the demands of a machine-to-machine (M2M) environment. The OMA SpecWorks LwM2M v1.1 specification was released earlier this…

Arm NN makes it easy to move NN workloads around an SoC, reducing the need for processor-specific optimization and facilitating software portability.

This blog provides details about how machine learning at the edge is helping to save reindeer this Christmas through a reindeer cam that alerts train drivers when reindeer stray onto the train lines in…

This blog outlines the key consumer views, opinions and attitudes towards AR and VR following a survey by tech analyst firm TECHnalysis and how Arm Mali-G76 can support the growth of the AR and VR markets…

The blog discusses the move to 64-bit on Android for new apps and app updates, and what developers need to consider before the transition deadline of August 2019.

Following outstanding reviews from leading tech media outlets this blog takes a look at some of the key features of the new Huawei Mate 20 and Mate 20 Pro and explains how the Arm Mali-G76 GPU is helping…

The importance of mobile depth data to achieve virtual-to-real interactions in AR/MR is analyzed. Current state of mobile depth sensors and alternatives are presented.

This blog explains the process of implementing indoor navigation using only Unity and the Google ARCore SDK with today’s handsets.

A summary of the key discussion points from the 'Revolutionizing the PC experience' Tech Panel at TechCon with representatives from Arm, Microsoft and Qualcomm.

Arm’s face verification system is a real-time proof of concept that achieves 98.36% accuracy, running efficiently on Arm machine learning-optimized platforms.

Key performance measures of battery life, instant on and connectivity for Windows 10 Always Connected PCs were benchmarked in a new whitepaper. This blog outlines the key findings.

Arm TechCon is next week, October 16 – 18. Visit the Arm booth, #525, to see demonstrations from Arm and a few of our ecosystem partners.

KDDI Research will exhibit its latest 5G research result at the Arm booth of Arm TechCon 2018.

As more people use their mobile devices for a range of everyday online tasks, from shopping to banking, the security threat to smartphones and other connected devices is only likely to increase.

Being over four months into my new job at Arm, I'm still learning about the company and all the many areas of technology that we're involved in. One of these areas is machine learning (ML).

I believe there will be 5 areas where SLAM technology will improve and fundamentally change the lives of consumers and businesses in the near future. Let me explain how SLAM could transform each one.

SLAM is one of a number of key areas that will be made possible through Augmented Reality and Virtual Reality. SLAM promises to be transformative - but what is it?

After writing Streamline performance analyzer for Android application profiling it turns out some Android devices restrict the use of TCP sockets and this causes gatord to fail in daemon mode. Local capture…