Movidius is working with Google to accelerate the adoption of deep learning within mobile devices. As part of the agreement, Google will source Movidius processors alongside the entire Movidius software development environment. In turn, Google will contribute to Movidius? neural network technology roadmap.

This agreement enables Google to deploy its neural computation engine on Movidius' ultra-low-power platform, introducing a new way for machine intelligence to run locally on devices. Local computation allows for data to stay on device and properly function without internet connection and with fewer latency issues. This means future products can have the ability to understand images and audio with incredible speed and accuracy.

In essence, technology like facial and spatial recognition and being able to interpret and learn from this data is the type of thing Google would love to do with its forthcoming devices.

Google will utilize Movidius? latest flagship chip ? the MA2450. The is the most powerful iteration of the Myriad 2 family of vision processors, providing a series of improvements over the first-generation Myriad 2 VPU announced last year, the MA2100.

The chip has 12 cores, and is able to perform low power, advanced computer vision processing.