Nvidia corporation (20240264588). ARTIFICIAL-INTELLIGENCE-BASED MANUFACTURING simplified abstract

ARTIFICIAL-INTELLIGENCE-BASED MANUFACTURING

Organization Name

nvidia corporation

Inventor(s)

Ron Chao of San Diego CA (US)

Liang-I Lin of Milpitas CA (US)

Tuan Ong of Santa Clara CA (US)

Elad Mentovich of Tel Aviv (IL)

Siddha Ganju of Santa Clara CA (US)

Dinesh Krishnaswamy of San Jose CA (US)

Fisher Liu of Shenzhen (CN)

Lei Huang of Shenzhen (CN)

Nicholas Girard Page of San Jose CA (US)

ARTIFICIAL-INTELLIGENCE-BASED MANUFACTURING - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240264588 titled 'ARTIFICIAL-INTELLIGENCE-BASED MANUFACTURING

The patent application describes methods for artificial intelligence-based manufacturing, where a series of steps are taken to achieve a target value of an attribute for manufacturing an object. Actual values of attributes achieved by each step are measured, and machine learning models are used to determine target values for subsequent steps based on the actual values achieved so far.

• The method involves performing an initial step in a series of steps to achieve a target value of an attribute for manufacturing an object.
• Actual values of attributes achieved by each step are measured to determine the effectiveness of the manufacturing process.
• Machine learning models are used to predict target values for attributes in subsequent steps based on the actual values achieved so far.
• Each step is performed to achieve the target value of the respective attribute, and actual values are measured after each step to assess the progress.

Potential Applications: - This technology can be applied in various manufacturing processes to optimize production efficiency and quality. - It can be used in industries such as automotive, electronics, and aerospace for precision manufacturing.

Problems Solved: - Helps in achieving precise target values of attributes in manufacturing processes. - Improves the overall efficiency and accuracy of manufacturing operations.

Benefits: - Enhances the quality of manufactured products. - Reduces production time and costs. - Enables adaptive manufacturing processes based on real-time data.

Commercial Applications: Title: AI-Based Manufacturing Optimization for Enhanced Production Efficiency This technology can be utilized by manufacturing companies to streamline their production processes, improve product quality, and reduce operational costs. It can also be integrated into existing manufacturing systems to enhance automation and decision-making capabilities.

Questions about AI-Based Manufacturing Optimization: 1. How does this technology improve the efficiency of manufacturing processes? 2. What are the potential cost savings associated with implementing AI-based manufacturing optimization?

Original Abstract Submitted

methods are described herein for artificial-intelligence-based manufacturing. the present invention may include performing an initial step in a series of steps to achieve a target value of an attribute, where the series of steps is for manufacturing an object, and, after performing the initial step, measuring an actual value of the attribute achieved by the initial step. the method may include, for each subsequent step in the series, providing actual values of attributes achieved by preceding steps in the series to a respective machine learning model to determine a respective target value for a respective attribute to be achieved by the respective step. the method may also include, for each step, performing the respective step to achieve the respective target value of the respective attribute and, after performing the respective step, measuring a respective actual value of the respective attribute achieved by the respective step.