The two companies have collaborated earlier on Google's Project Tango. This project helps phones and tablets to understand their locations and nature of movement through space. Lenovo has announced in the CES 2016 launching its first Tango phone for consumers during this summer.

Computer vision is the ability for computing devices to view, interpret and understand images both symbolically and in context. But to extrapolate beyond just comparing pixels and familiar features and understanding the essence, is a whole different level of computing.

Our human brains are habituated doing this innately and naturally and are capable of understanding complex symbolism. Programming and storing these features in chips are different matters altogether.

The Myriad 2 chips supported by machine learning, are attempting this sort of operation with a very small footprint and considerable power consumption savings. But neither company has commented on exactly what kind of mobile devices will be using the new hardware.

Another big advantage of the chip is its significant local power processing. This will enable a host of complex actions to take place resident on devices while they are disconnected. These instantaneous computer vision capabilities will enable users to experience low latency on the mobile devices.

Movidius specializes on machine vision and deep learning technology. Insertion of these two features may bring more intelligence to the mobile devices. Allured with these features, Google and Movidius have reached to a partnership agreement. Under the agreement, Google will use chips developed by Movidius and thus will become able to incorporate some human rationalities in its mobile devices.