Invention Grant
- Patent Title: Machine-learned operating system and processor
-
Application No.: US17241436Application Date: 2021-04-27
-
Publication No.: US12073729B2Publication Date: 2024-08-27
- Inventor: John W. Borghese , Ryan M. Murphy , Ella M. Atkins
- Applicant: Rockwell Collins, Inc.
- Applicant Address: US IA Cedar Rapids
- Assignee: Rockwell Collins, Inc.
- Current Assignee: Rockwell Collins, Inc.
- Current Assignee Address: US IA Cedar Rapids
- Agency: Suiter Swantz IP
- Main IPC: G08G5/00
- IPC: G08G5/00 ; B64C39/02 ; G06N20/00

Abstract:
A computing device may include operational processors, configured to execute a set of program instructions, wherein the set of program instructions is configured to cause the operational processors to: receive input signals indicative of input conditions; determine input conditions based input signals; determine output signals based on the determined input conditions; and provide determined output signals. The computing device may further include machine-learning processors, wherein the machine-learning processors are configured to develop machine-learning analyzers, wherein the machine-learning analyzers are configured to: identify operational parameters of the operational processors; determine modifications to the set of program instructions, wherein the modifications satisfy a selected quality metric; and provide the modifications to the operational processors.
Public/Granted literature
- US20220343770A1 MACHINE-LEARNED OPERATING SYSTEM AND PROCESSOR Public/Granted day:2022-10-27
Information query