Prosecution Insights
Prosecution Insights
Tech Center 4100 • Art Units: 2123 2124 2189 2194 4100
This examiner grants 72% of resolved cases
Casey R. Garner examines applications in Tech Center 4100 and Art Unit 2123. He has managed 277 resolved cases, resulting in an allowance rate of 71.5 percent. This 71.5 percent allowance rate indicates a favorable probability of success for applications reaching a final disposition. The volume of 277 resolved cases provides a reliable foundation for evaluating his examination performance.
The interview lift for Garner is 15.9 percent. This 15.9 percent lift suggests that conducting an interview is a beneficial strategy for increasing the probability of allowance compared to cases without an interview. While the 71.5 percent allowance rate is already high, the 15.9 percent lift indicates that direct engagement can help resolve outstanding issues more effectively. Practitioners should consider an interview as a key tactic for advancing prosecution in Art Unit 2123.
The median time to allowance is 1326 days. This 1326 day duration represents the typical timeframe from filing to patent issuance. Applicants can use this 1326 day median to set realistic expectations for their prosecution timeline. With 277 resolved cases, this timing metric offers a clear guide for planning and budgeting.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18127528 | PROCESSING OF ASYMMETRICALLY QUANTIZED INPUT AND KERNEL COEFFICIENTS IN NEURAL NETWORK PROCESSOR | Non-Final OA | Apple Inc. |
| 18415578 | STATE CLASSIFICATION METHOD, STATE CLASSIFICATION DEVICE, AND STATE CLASSIFICATION PROGRAM | Non-Final OA | SEIKO EPSON CORPORATION |
| 18198037 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM | Non-Final OA | NEC Corporation |
| 18069822 | MODAL INFORMATION COMPLETION METHOD, APPARATUS, AND DEVICE | Non-Final OA | Huawei Cloud Computing Technologies Co., Ltd. |
| 17644179 | DEVICE AND METHOD TO IMPROVE REINFORCEMENT LEARNING WITH SYNTHETIC ENVIRONMENT | Final Rejection | Robert Bosch GmbH |
| 18512592 | MEDICAL INFORMATION PROCESSING APPARATUS AND METHOD | Non-Final OA | Canon Kabushiki Kaisha |
| 18312584 | METHODS, APPARATUS, AND ARTICLES OF MANUFACTURE TO RE-PARAMETERIZE MULTIPLE HEAD NETWORKS OF AN ARTIFICIAL INTELLIGENCE MODEL | Non-Final OA | Intel Corporation |
| 18681470 | METHODS AND SYSTEMS FOR DETERMINING PHYSICAL PROPERTIES VIA MACHINE LEARNING | Non-Final OA | THE REGENTS OF THE UNIVERSITY OF CALIFORNIA |
| 18109283 | COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND THERMAL ANALYSIS DEVICE | Non-Final OA | Fujitsu Limited |
| 18405069 | CLASSICAL-QUANTUM HYBRID ALGORITHM FOR SOLVING HIGHER-ORDER MIXED INTEGER PROGRAMMING PROBLEMS | Non-Final OA | International Business Machines Corporation |
| 18140130 | IMPUTING MISSING VALUES IN A DATASET IN THE PRESENCE OF DATA QUALITY DISPARITY | Non-Final OA | International Business Machines Corporation |
| 18640865 | DISPLAYING OUTPUT DATA FROM A DRIVER ATTENTION MODEL ON A DISPLAY | Non-Final OA | Micron Technology, Inc. |
| 18632708 | ARTIFICIAL NEURAL NETWORK TRAINING FOR MEAN TIME TO FAILURE PREDICTIONS | Non-Final OA | Micron Technology, Inc. |
| 18598738 | METHODS AND SYSTEMS FOR POWER MANAGEMENT IN A PATTERN RECOGNITION PROCESSING SYSTEM | Non-Final OA | Micron Technology, Inc. |
| 18410272 | METHOD FOR TRAINING DEEP LEARNING MODEL USING SELF-KNOWLEDGE DISTILLATION ALGORITHM, INFERRING APPARATUS USING DEEP LEARNING MODEL, AND STORAGE MEDIUM STORING INSTRUCTIONS TO PERFORM METHOD FOR TRAINING DEEP LEARNING MODEL | Non-Final OA | Research & Business Foundation SUNGKYUNKWAN UNIVERSITY |
| 18318204 | TRAINING AND APPLYING A MACHINE LEARNING MODEL FOR PREDICTING POLYMER EXTRUDATE MELT PROPERTY VALUES | Final Rejection | Chevron Phillips Chemical Company LP |
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