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One of our goals at Arm is to enable more people to create and deploy their own machine learning (ML) enabled apps. Whether you are an experienced developer or if it is your first time venturing into the ML application world, this blog highlights some…

When developing vision applications, the most common knowledge gap we encounter is a lack of understanding; regarding the performance required and what can be achieved with a given hardware architecture. The confusion partly stems from dissimilar benchmarks…

At Arm we’re often asked by partners, developers and other interested parties within the complex and huge machine learning (ML) ecosystem which processors are best at performing specific ML actions on different devices. As described in this Arm…

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…