Prosecution Insights
Prosecution Insights
Tech Center 2600 • Art Units: 2122 2123 2124 2129 2198 2671
This examiner grants 44% of resolved cases
Examiner Ben M. Rifkin works in Tech Center 2600 and Art Unit 2122. The examiner has 328 resolved cases, providing a solid foundation for analyzing prosecution behavior. The allowance rate is 44.2%, which indicates a challenging environment for applicants. This 44.2% rate suggests that practitioners should be prepared for a detailed and potentially difficult examination process.
The interview lift is 17.1%. This figure shows that interviews provide a notable benefit, increasing the likelihood of an allowance. While the lift is not as high as some other examiners, the 17.1% increase still represents a valuable strategic option for advancing a case toward a successful conclusion.
The median days to allowance is 1822. This is a relatively long pendency, and practitioners should communicate this 1822-day timeline to clients to manage expectations. The 328 resolved cases suggest that the examiner's trends are consistent in Art Unit 2122. Given the long median pendency and the moderate interview lift, a focused prosecution strategy that includes early communication may be beneficial for navigating this environment.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17337140 | PREDICTING FUTURE EVENTS OF PREDETERMINED DURATION USING ADAPTIVELY TRAINED ARTIFICIAL-INTELLIGENCE PROCESSES | Non-Final OA | The Toronto-Dominion Bank |
| 18351729 | Self-Enhancing Knowledge Model | Final Rejection | ABB Schweiz AG |
| 18428925 | CLASSIFIER TRAINING USING SYNTHETIC TRAINING DATA SAMPLES | Non-Final OA | MASTERCARD INTERNATIONAL INCORPORATED |
| 18595673 | METHOD FOR PROVIDING A NEURAL NETWORK ON A DATA PROCESSING DEVICE | Non-Final OA | Robert Bosch GmbH |
| 17435866 | STATE CONTROL DEVICE, LEARNING DEVICE, STATE CONTROL METHOD, LEARNING METHOD, AND PROGRAM | Final Rejection | Sony Interactive Entertainment Inc. |
| 19274396 | CENTRALIZED PLATFORM FOR ENHANCED AUTOMATED MACHINE LEARNING USING DISPARATE DATASETS | Non-Final OA | Amazon Technologies, Inc. |
| 18216271 | SYNTHETIC DATA GENERATION FOR MACHINE LEARNING MODELS | Non-Final OA | Amazon Technologies, Inc. |
| 17604780 | AUDIO SESSION CLASSIFICATION | Final Rejection | Hewlett-Packard Development Company, L.P. |
| 17734510 | FEDERATED LEARNING | Final Rejection | Nokia Technologies Oy |
| 18432700 | SUPPRESSION OF CORRELATED NOISE IN QUANTUM COMPUTERS | Non-Final OA | International Business Machines Corporation |
| 17210803 | DETECT FIELD INTERACTIONS BASED ON RANDOM TREE STUMPS | Non-Final OA | International Business Machines Corporation |
| 16194621 | SEMI-AUTOMATED CORRECTION OF POLICY RULES | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17663240 | METHOD AND SYSTEM FOR EXPLAINABLE MACHINE LEARNING USING DATA AND PROXY MODEL BASED HYBRID APPROACH | Non-Final OA | Tata Consultancy Services Limited |
| 17573498 | AUTOMATED DATASET GENERATION FOR MACHINE LEARNING | Final Rejection | SAP SE |
| 17455241 | COLUMN-DISTRIBUTED TREE-BASED DATA MINING ENGINES FOR BIG DATA IN CLOUD SYSTEMS | Final Rejection | SAP SE |
| 18370619 | DETECTING TASK-RELATED PATTERNS USING ARTIFICIAL INTELLIGENCE TECHNIQUES | Final Rejection | Dell Products L.P. |
| 17205632 | SYSTEMS AND METHODS FOR CALCULATING VALIDATION LOSS FOR MODELS IN DECENTRALIZED MACHINE LEARNING | Final Rejection | Hewlett Packard Enterprise Development LP |
| 17623132 | METHOD AND SYSTEM FOR GENERATING AI TRAINING HIERARCHICAL DATASET INCLUDING DATA ACQUISITION CONTEXT INFORMATION | Final Rejection | Korea Electronics Technology Institute |
| 17387090 | GENERATING HYPOTHESES IN DATA SETS | Final Rejection | Georgetown University |
| 18753083 | METHODS AND SYSTEMS FOR TRAINING MEDICAL MACHINE-LEARNING MODELS | Non-Final OA | Polyview Health, Inc. |
| 18584259 | MACHINE LEARNING MODEL GENERATOR | Final Rejection | Aixplain, Inc. |
| 17219723 | MACHINE LEARNING MODEL AGGREGATOR | Final Rejection | aixplain, Inc. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy