Google- Movidius Joint Ventured Phones Will Analyze Visions With Human Rationality

By Staff Writer

Jan 29, 2016 04:07 AM EST

Movidius, the San Mateo, California-based chip designer, has announced collaborating with Google to speed up adoption of deep machine learning technology within mobile devices. Through this adoption, Google's next generation digital devices will be able to recognize vision like humans. The chip maker has announced the tie up on Thursday.

Movidius specializes on machine vision and deep learning technology. Insertion of these two features may bring more intelligence to the mobile devices. The new partners intend to incorporate machine intelligence locally on a phone rather to depend on cloud processing, according to a Movidius statement furnished in AndroidCentral website.

Google will arrange license for Movidius compact, the cheap and low power chips following the partnership deal. In return, Movidius will allow Google to use its complex neural network technology. Movidius is developing its reputation in visual intelligence, reports USA Today.

Google will handle licensing the Myriad 2 family of VPU chips from Movidius. This sort of tiny chips enables low power, advanced computer vision processing. This will be a valuable component mobilize Google's growing list of products utilizing machine learning, according to a report published in TechCrunch.

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.

© 2024 VCPOST, All rights reserved. Do not reproduce without permission.

Join the Conversation

Real Time Analytics