Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2124 4100
This examiner grants 62% of resolved cases
Pedro Jesus Morales works in Tech Center 4100 and Art Unit 2124, with 13 resolved cases. His allowance rate is 61.5 percent. This 61.5 percent rate indicates a moderate success rate for applicants, though the sample size of 13 cases should be noted. Practitioners can expect a fair examination process with a reasonable chance of a grant based on this initial data.
The interview lift is a significant 55.6 percent. This 55.6 percent lift suggests that interviews are extremely effective in moving cases toward allowance with this examiner. Even with only 13 cases resolved, the high lift is a strong signal that practitioners should prioritize verbal communication. The 61.5 percent allowance rate is likely to be much higher for those who engage in an interview.
The median days to allowance is 1351. This 1351-day timeline is quite long, indicating a slow path to patent issuance. Applicants should prepare for a lengthy prosecution cycle. Given the 1351-day median pendency, leveraging the 55.6 percent interview lift early on is a critical strategy to avoid further delays and capitalize on the examiner's receptiveness to direct discussion.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18623622 | PROCESSING MODEL OUTPUTS | Non-Final OA | Wells Fargo Bank, N.A. |
| 17663517 | PREDICTION SYSTEM, PREDICTION METHOD, AND NON-TRANSITORY STORAGE MEDIUM | Final Rejection | TOYOTA JIDOSHA KABUSHIKI KAISHA |
| 17955896 | NEURAL NETWORK SYSTEM FOR GESTURE, WEAR, ACTIVITY, OR CARRY DETECTION ON A WEARABLE OR MOBILE DEVICE | Final Rejection | Snap Inc. |
| 18127272 | SYSTEMS AND METHODS FOR WEIGHTED FEDERATED LEARNING IN A HYBRID OPERATING ROOM ENVIRONMENT | Non-Final OA | KONINKLIJKE PHILIPS N.V. |
| 17841009 | JOINT TRAINING OF NETWORK ARCHITECTURE SEARCH AND MULTI-TASK DENSE PREDICTION MODELS FOR EDGE DEPLOYMENT | Non-Final OA | Deere & Company |
| 18190937 | SYSTEMS AND METHODS FOR GENERATING RECOMMENDATIONS FOR CAUSES OF LABELING DETERMINATIONS THAT ARE GENERATED BY NON-DIFFERENTIABLE ARTIFICIAL INTELLIGENCE MODELS | Non-Final OA | Capital One Services, LLC |
| 18088074 | PROCESSING EVENT DATA BASED ON MACHINE LEARNING | Non-Final OA | The Johns Hopkins University |
| 18332683 | COMPUTER MEMORY ACCESS FOR MACHINE LEARNING MODELS | Non-Final OA | Microsoft Technology Licensing, LLC |
| 17978587 | HARDWARE-AWARE GENERATION OF MACHINE LEARNING MODELS | Final Rejection | Microsoft Technology Licensing, LLC |
| 17967165 | AUTOMATIC CONTENT CLASSIFICATION AND AUDITING | Final Rejection | International Business Machines Corporation |
| 17455293 | PERFORMANCE OPTIMIZATION OF COMPLEX INDUSTRIAL SYSTEMS AND PROCESSES | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18628089 | Systems, Methods, And Devices For Customizable Computing Platforms | Non-Final OA | Salesforce, Inc. |
| 18427304 | METADATA DRIVEN PROMPT GROUNDING FOR GENERATIVE ARTIFICIAL INTELLIGENCE APPLICATIONS | Non-Final OA | Salesforce, Inc. |
| 18382763 | USING SPECIAL TOKENS FOR SECURE PROMPT TEMPLATE INPUT TO LANGUAGE MODELS | Non-Final OA | Nvidia Corporation |
| 18582460 | EPISODIC OFF-POLICY EVALUATION OF JOINT ACTIONS FOR A MACHINE-LEARNED POLICY FOR AN ONLINE SYSTEM | Non-Final OA | Maplebear Inc. |
| 18438584 | SYSTEM AND METHOD FOR DYNAMIC ALLOCATION OF CONTAINER SESSION NETWORK RESOURCES VIA A MACHINE LEARNING MODEL | Non-Final OA | BANK OF AMERICA CORPORATION |
| 18240824 | METHOD, ELECTRONIC DEVICE, AND PROGRAM PRODUCT FOR GENERATING MACHINE LEARNING MODEL | Final Rejection | Dell Products L.P. |
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