20240012789. SYSTEM OF EVALUATING DATA PRODUCTION PROCESSORS FOR DATA PRODUCTION, PROCESSING, AND TRANSFER TASKS USING NEURAL NETWORKS simplified abstract (Unknown Organization)
SYSTEM OF EVALUATING DATA PRODUCTION PROCESSORS FOR DATA PRODUCTION, PROCESSING, AND TRANSFER TASKS USING NEURAL NETWORKS
Organization Name
Inventor(s)
Gibran Ali Malik of Jamaica NY (US)
Gibran Ali Malik of Jamaica NY (US)
SYSTEM OF EVALUATING DATA PRODUCTION PROCESSORS FOR DATA PRODUCTION, PROCESSING, AND TRANSFER TASKS USING NEURAL NETWORKS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240012789 titled 'SYSTEM OF EVALUATING DATA PRODUCTION PROCESSORS FOR DATA PRODUCTION, PROCESSING, AND TRANSFER TASKS USING NEURAL NETWORKS
Simplified Explanation
The patent application describes a system and method for evaluating processors. Here is a simplified explanation of the abstract:
- The system uses a neural network to receive primary data created by data producing processors, such as graphical or audio data.
- The neural network is configured to predict processor evaluations based on the primary data.
- The processor evaluations derived from the neural network are blended with evaluations obtained from processors requesting the primary data.
- A modified average of the blended evaluations is taken over a continuing series to obtain processor performance evaluations.
- These performance evaluations are then used to match data producing processors with data requesting processors.
Potential Applications:
- This technology can be used in the field of computer hardware to evaluate and match processors based on their performance.
- It can be applied in industries that heavily rely on processors, such as gaming, multimedia production, and data analysis.
Problems Solved:
- The system solves the problem of accurately evaluating processors by using a combination of neural network predictions and evaluations from other processors.
- It addresses the challenge of matching data producing processors with data requesting processors based on their performance.
Benefits:
- The system provides a more comprehensive and accurate evaluation of processors by incorporating neural network predictions.
- It enables efficient matching of processors, ensuring optimal performance in data processing tasks.
- The technology can lead to improved performance in various industries that rely on processors.
Original Abstract Submitted
a system and method of evaluating processors by first operating a neural network to receive primary data created by data producing processors, including graphical or audio data, as an input layer, with the neural network configured to predict processor evaluations, then blending processor evaluations derived from the neural network with evaluations obtained from processors requesting the primary data, then taking a modified average of a continuing series of blended evaluations to obtain processor performance evaluations. the processor performance evaluations are then used to match data producing processors with data requesting processors.
