$GTCH Typically, such a system includes parallel computation machine that is exclusively designed to increase neural network and other AI algorithms processing efficiency. A high level of processing optimization can be achieved by using a combination of AI programming with specifically designed hardware for it. GBT evaluates adapting its AI algorithms with accelerating hardware targeting to significantly boost its xCalibre imaging performance. This combined system is planned to be self-optimized. A neural network program that is running with a supporting, parallel computing hardware, that will be capable of processing massive amounts of data through iterative optimization. GBT will evaluate the use of specific hardware including Graphics Processing Units (GPUs), Multicore Processors and Spatial Accelerators. xCalibre’s cognitive capabilities enable it to accumulate knowledge exactly as a human would do, which requires vast amount of computing power. GBT believes that a hardware AI accelerator that will work in conjunction with xCalibre’s imaging, can enable much faster data processing, enabling HD/UHD real time image and video processing.
https://www.nasdaq.com/press-release/gbt-cons...me-pattern
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