Nvidia corporation (20250068132). Manufacturing Multi-Component Objects Using Artificial Intelligence: Difference between revisions
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==Inventor(s)== | |||
[[:Category:Elad Mentovich of Tel Aviv (IL)|Elad Mentovich of Tel Aviv (IL)]][[Category:Elad Mentovich of Tel Aviv (IL)]] | |||
[[:Category:Siddha Ganju of Santa Clara CA (US)|Siddha Ganju of Santa Clara CA (US)]][[Category:Siddha Ganju of Santa Clara CA (US)]] | |||
[[:Category:Jeff Whitmer of San Jose CA (US)|Jeff Whitmer of San Jose CA (US)]][[Category:Jeff Whitmer of San Jose CA (US)]] | |||
[[:Category:Ryan Albright of Beaverton OR (US)|Ryan Albright of Beaverton OR (US)]][[Category:Ryan Albright of Beaverton OR (US)]] | |||
[[:Category:Tahir Cader of Spokane Valley WA (US)|Tahir Cader of Spokane Valley WA (US)]][[Category:Tahir Cader of Spokane Valley WA (US)]] | |||
[[:Category:Ron Chao of San Diego CA (US)|Ron Chao of San Diego CA (US)]][[Category:Ron Chao of San Diego CA (US)]] | |||
==Manufacturing Multi-Component Objects Using Artificial Intelligence== | |||
This abstract first appeared for US patent application 20250068132 titled 'Manufacturing Multi-Component Objects Using Artificial Intelligence | |||
==Original Abstract Submitted== | |||
methods are described herein for manufacturing multi-component objects using artificial intelligence. the present invention may be directed to a method that includes determining an actual value of a first attribute of a first component of an object and determining, using a machine learning model and based on the actual value of the first attribute, an optimized value for a second attribute of a second component that is functionally interrelated to the first component in the object. the method may include selecting, from a plurality of second components each having a value for the second attribute within a tolerance range, a second component having the optimized value for the second attribute. the method may further include manufacturing the object using the first component and the selected second component. | |||
[[Category:G05B13/02]] | |||
[[Category:G06F1/20]] | |||
[[Category:CPC_G05B13/0265]] |
Latest revision as of 06:49, 17 March 2025
Manufacturing Multi-Component Objects Using Artificial Intelligence
Organization Name
Inventor(s)
Elad Mentovich of Tel Aviv (IL)
Siddha Ganju of Santa Clara CA (US)
Jeff Whitmer of San Jose CA (US)
Ryan Albright of Beaverton OR (US)
Tahir Cader of Spokane Valley WA (US)
Manufacturing Multi-Component Objects Using Artificial Intelligence
This abstract first appeared for US patent application 20250068132 titled 'Manufacturing Multi-Component Objects Using Artificial Intelligence
Original Abstract Submitted
methods are described herein for manufacturing multi-component objects using artificial intelligence. the present invention may be directed to a method that includes determining an actual value of a first attribute of a first component of an object and determining, using a machine learning model and based on the actual value of the first attribute, an optimized value for a second attribute of a second component that is functionally interrelated to the first component in the object. the method may include selecting, from a plurality of second components each having a value for the second attribute within a tolerance range, a second component having the optimized value for the second attribute. the method may further include manufacturing the object using the first component and the selected second component.
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