Qualcomm has unveiled its new smartphone, the Snapdragon 845, which focuses on enhanced camera capabilities and artificial intelligence, and is likely to be found in many of next year's leading phones.
Will be the processor manufactured in accordance with the technology 10 nm used in the previous processor, but it will feature a renewed structure where will come new features such as video imaging accurately 4 so with technology Dynamic Range High (HD R), and the processing of improved processes of artificial intelligence, as well as performance and improve energy consumption upgrade Which we see every year with each new processor.
Qualcomm said it focused on the new processor on artificial intelligence, submerging, improved security, connectivity and performance. Intrusion here mainly means the ability of the processor to capture and manipulate the world around the user with high accuracy and superior quality in order to achieve more realistic results.
The Snappadragone 845 will include the Adreno 630 graphics processor, the Creeo 385 CPU, the X20 LTE modem and the Spectra 280 image processor.
Tim Leeland, the company's graphics director, explains that the image signal processor allows ultra-HD video to be recorded at 60 frames per second.
Qualcomm believes that the Sfardragone 845 will score a score of more than 100 points on the Dexomark website, which specializes in testing the quality of smart phone cameras, but that depends on how each handset employs the new processor features.
At the level of artificial intelligence, the company said that Snabdragon 845 focuses on the allocation of nucleated, in the sense that it will appoint tasks for different nuclei in which to implement them based on the amount of energy that you need, as the processor will be able to carry out the tasks of artificial intelligence at a rate three times faster than the previous processor.
The new processor will support the advantages of artificial intelligence in photography, such as the effects of industrial "bokeh" using a single camera, face recognition and unlocking of the phone, as well as accelerate the performance and accuracy of smart digital assistance.
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