Future augmented reality (AR) devices execute workloads that create immersive experiences - a synergy between real and virtual worlds. Just like our current mobile devices, it is not enough to perform just a single task efficiently, so a collection of…

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…

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…

Machine Learning (ML) is moving to edge no doubt. A lot of embedded devices want to have edge computing capability to provide more advanced services, like voice recognition for smart speaker and face detection on surveillance camera. Constructing a solid…