METHOD AND APPARATUS WITH DATA PROCESSING

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METHOD AND APPARATUS WITH DATA PROCESSING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18736241 titled 'METHOD AND APPARATUS WITH DATA PROCESSING

The abstract of this patent application describes a processor-implemented data processing method that involves normalizing input data of an activation function with a division operation, determining dividend data from a memory, accumulating divisor data, and determining output data of the activation function.

The method involves normalizing input data of an activation function with a division operation.
Dividend data corresponding to the dividend of the division operation is determined by reading a value from a first lookup table addressed by the normalized input data.
Divisor data corresponding to the divisor of the division operation is determined by accumulating the dividend data.
Output data of the activation function corresponding to the output of the division operation is determined by reading a value from a second lookup table addressed by the dividend data and the divisor data.

Potential Applications: - This technology could be applied in various fields such as artificial intelligence, machine learning, and signal processing. - It can be used in developing advanced mathematical models and algorithms.

Problems Solved: - This technology simplifies the process of determining output data of an activation function involving division operations. - It streamlines the calculation process and improves efficiency in data processing tasks.

Benefits: - Increased accuracy and precision in determining output data of activation functions. - Enhanced performance and speed in data processing operations. - Simplified implementation of complex mathematical operations.

Commercial Applications: Title: Advanced Data Processing Method for Mathematical Models This technology has commercial applications in industries such as finance, healthcare, and telecommunications where complex data processing and analysis are required. It can be used to optimize algorithms, improve predictive modeling, and enhance decision-making processes.

Prior Art: Researchers and developers can explore prior art related to data processing methods, activation functions, and division operations in the fields of computer science, mathematics, and artificial intelligence.

Frequently Updated Research: Stay updated on the latest advancements in data processing methods, mathematical modeling, and algorithm optimization to leverage the full potential of this technology.

Questions about the Technology: 1. How does this data processing method improve efficiency in mathematical modeling tasks? 2. What are the potential implications of this technology in the field of artificial intelligence and machine learning?

Original Abstract Submitted

A processor-implemented data processing method includes: normalizing input data of an activation function comprising a division operation; determining dividend data corresponding to a dividend of the division operation by reading, from a memory, a value of a first lookup table addressed by the normalized input data; determining divisor data corresponding to a divisor of the division operation by accumulating the dividend data; and determining output data of the activation function corresponding to an output of the division operation obtained by reading, from the memory, a value of a second lookup table addressed by the dividend data and the divisor data.