Qualcomm plans to add a deep learning technology for mobile phones

May

4

2016

The company launched Qualcomm Qualcomm development tools software SDK technology deep learning Deep Learning for mobile phones to enable these devices to identify the persons and the elements and the movements and expressions of the faces.

And require deep learning techniques such as face recognition, having a neural complex networks, and a large number of servers with high specifications, but the code from Qualcomm development tools do not require the presence of all of these resources, but can benefit from simple resources provided by phone devices.

The company said that deep learning technology will reach devices that contain a processor Snap Dragon Snapdragon 820 such as the Samsung Galaxy S 7 Samsung Galaxy S7 and LG G 5 LG G5 due to the containment of the processor on the motor neuronal processing processor Snap Dragon Snapdragon Neural Processing Engine SDK software development tools .

The company announced that its software development tools containing operational time, IT run-time that you are taking advantage of the processor to provide smart phones to implement the tasks of deep learning, such as trace elements and identify sounds, also can use the software development tools in robots and self-driving cars and drones Drones.

The development tools code from Qualcomm is part of the computing cognitive Zarot platform Zeroth cognitive computing platform that emerged in 2013 when Qualcomm offered a robot able to take the right decisions concerning trends and mobility based on user entries, was then start using Zarot technology in mobile devices. Qualcomm is expected to expand the scope of deep learning technology work to include the security sector and protection, such as surveillance cameras in addition to health care and insurance sectors.

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