Qualcomm launches artificial intelligence in processors Snapdragon

Most of the functions of the machine learning -such as voice recognition – currently rely on the cloud; the phone sends the data to the cloud where it is processed to meet then the results, and the ability to execute tasks and learn the machine on your phone instead of just relying on the cloud has become an important requirement; it will help the developers to improve the machine learning, therefore the Qualcomm launched the artificial intelligence engine is comprised of hardware and software developers can use it to the Internet or without it.

Implementation of the tasks of machine learning

Machine learning goes in two phases: training the conclusion, in the training phase: change machine learning algorithm unit (nervous often) on the models of the items to learn them (images, audio, etc.) with the IDs of the elements. In the stage of conclusion: the algorithm data to the other data. For example: if the definition of a machine learning system on the thousands of pictures of cats, in the stage of conclusion know the system a picture of a cat I didn’t know of before, and using the data training the system The definition of the content of the image. The stage of conclusion based on any processing unit including a CPU unit, the Processor, graphics processor, digital signal and drives a conclusion, such as unit neural processing in the Processor of Huawei Cairns 970, or declared a week before the company Arm. The fundamental difference of the use of processing units lies in the speed of completion of the stage of conclusion and the necessary energy. Means that there may be no need calling Processing Unit dedicated to the conclusion, which is the site of Qualcomm current. However, the performance and efficiency represent a powerful argument for the company, Arm and Huawei return.

Drive Qualcomm’s new AI

Artificial intelligence engine of the new Qualcomm believes a combination of hardware and software processors Snapdragon 845 835 820 660, accelerated with artificial intelligence. One of the components is a Processing Unit neural NPE designed to make it easier for developers to choose which cores to Snapdragon (processor Hexagon Vector, or processor graphics Adreno, or central processing unit Kryo) best suited to implement the tasks of artificial intelligence applied. And nerve Hexagon NN allow other developers to run the artificial intelligence algorithm on the Processor Hexagon Vector. Supports editor artificial intelligence a variety of platforms machine learning, including the platform Google Tensorflow and Facebook Caffe and Caffe2 to the side of the platform ONNX open. Also supports the software interface to network Android neural Android NN made available for the first time in Android oreo to give developers access to the hardware of the Snapdragon through the system. Qualcomm said that Shao my oneplus and vivo up Motorola Assos and ZTE and others within the hardware makers who will use the artificial intelligence engine in their future to improve the application of artificial intelligence. As software development partners with Qualcomm will benefit from the product as well. My company SenseTime and Face the trained neural network on the images the advantages of camera such as the impact of Booker and ratifying the face and explore the scene, and Elliptic Laps has developed a system of control gestures over voice using the artificial intelligence engine, and my ArcSoft وThundercomm they presented an algorithm for Camera mono and dual for Snapdragon. Source: 1and2

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