Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2141 2173 2178
This examiner grants 52% of resolved cases
Nicholas Hasty is an examiner in Tech Center 2100, assigned to Art Unit 2141. He has handled 352 resolved cases, and his allowance rate is 51.7 percent. This rate indicates the balance between allowed and abandoned cases in his docket. The 352 resolved cases offer a basis for analyzing his prosecution style. The 51.7 percent rate serves as a baseline for practitioner expectations.
The interview lift for Hasty is 32.2 percent, which is a positive delta. This lift suggests that interviews are an effective tool for overcoming rejections relative to the 51.7 percent baseline. Direct communication appears to be a way to resolve issues in his docket. The median time to allowance is 1635 days, which is a duration for successful cases. Practitioners should be prepared for the 1635 days timeline and use the 32.2 percent lift to potentially resolve issues more efficiently in Art Unit 2141. These figures are key for planning.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17681237 | PREDICTING OCCURRENCES OF TARGETED CLASSES OF EVENTS USING TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES | Non-Final OA | The Toronto-Dominion Bank |
| 16917588 | ELECTRONIC DATA PLATFORM FOR A TESTING ENVIRONMENT | Non-Final OA | TOYOTA RESEARCH INSTITUTE, INC. |
| 17880339 | NON-TRANSITORY COMPUTER READABLE MEDIUM, INFORMATION PROCESSING APPARATUS, METHOD FOR PROCESSING INFORMATION | Non-Final OA | FUJIFILM Business Innovation Corp. |
| 17680984 | MACHINE LEARNING APPARATUS, ABNORMALITY DETECTION APPARATUS, AND ABNORMALITY DETECTION METHOD | Non-Final OA | KABUSHIKI KAISHA TOSHIBA |
| 18378250 | MEETING INFORMATION MANAGEMENT SYSTEM, MEETING INFORMATION MANAGEMENT METHOD, RECORDING MEDIUM STORING MEETING INFORMATION MANAGEMENT PROGRAM | Non-Final OA | SHARP KABUSHIKI KAISHA |
| 17449298 | OUT-OF-DOMAIN DETECTION FOR IMPROVED AI PERFORMANCE | Final Rejection | SIEMENS HEALTHINEERS AG |
| 18671148 | MACHINE LEARNING BASED APPROACH FOR TARGETED ITEM RECOMMENDATIONS BASED ON LATENT RELATIONSHIPS AMONG USER FEATURES AND ITEMS OF DIFFERENT TYPES | Non-Final OA | INTUIT INC. |
| 18458704 | DOCUMENT PROCESSING METHOD AND APPARATUS, AND DEVICE AND MEDIUM | Final Rejection | BEIJING ZITIAO NETWORK TECHNOLOGY CO., LTD. |
| 17295347 | METHOD AND MACHINE LEARNING MANAGER FOR HANDLING PREDICTION OF SERVICE CHARACTERISTICS | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18099799 | DATA PROCESSING SYSTEMS FOR DATA TRANSFER RISK IDENTIFICATION AND RELATED METHODS | Non-Final OA | OneTrust, LLC |
| 17114436 | USING A DEEP LEARNING BASED SURROGATE MODEL IN A SIMULATION | Non-Final OA | International Business Machines Corporation |
| 18501745 | GENERATING ALTERNATIVE EXAMPLES FOR CONTENT | Final Rejection | Adobe Inc. |
| 18623782 | AUTOMATIC METADATA GENERATION DURING MACHINE LEARNING MODEL TRAINING | Non-Final OA | NVIDIA Corporation |
| 18627203 | ON-DEVICE MACHINE LEARNING MODEL | Non-Final OA | T-Mobile Innovations LLC |
| 18483287 | WORKSPACE MANAGEMENT FOR IMPROVED MODEL | Final Rejection | Optum, Inc. |
| 18499830 | DYNAMIC PERSONA ASSIGNMENT FOR OPTIMIZATION OF NEAR END AND EDGE DEVICES | Non-Final OA | DELL PRODUCTS L.P. |
| 18762756 | SYSTEM AND METHOD FOR MANAGING DATA SHARE REQUESTS | Non-Final OA | Synchrony Bank |
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