We are very pleased to announce the launch of a machine learning how-to guide – Deploying a quantized TensorFlow Lite MobileNet V1 model.
The guide provides an end-to-end solution on using the Arm NN SDK. It walks you through creating a program which…
OK. Quick survey: How many connected devices do you own?
Whether you’re a gadget addict or just an average Josephine, I’m not sticking my neck out too far if I guess that you own more today than you did five years ago. From smartphones and tablets to…
Machine learning (ML) is no longer the new kid on the block. We’re almost all familiar with the concept of personal assistants, connected homes and a seemingly limitless torrent of gadgets that can improve our lives – as long as we have a data connection…
Augmented reality (AR) is a technology where virtual content is overlaid on top of the real world. If you’ve ever played with Snapchat “Lenses” on your mobile phone, to transform a selfie with a cartoon monocle or dog ears, you will…
It would be really amazing to have a personal assistant in my hands that is actually smart, truly understands my words and responds intelligently to resolve day-to-day tasks. The recent advancements in Machine Learning (ML) make me optimistic that such…
Recently, we announced our neural network machine learning (ML) software, Arm NN, a key piece of technology that makes it much, much easier to build and run ML applications on power-efficient, Arm-based platforms.
In essence, the software provides a bridge…
The launch of Arm support for the Android Neural Networks API (NNAPI) sees the release of open-source, optimized neural network operators that deliver significant performance uplift across CPUs and GPUs.
Back in May at Google I/O, we heard the first public…
