Tech Center 2100 • Art Units: 2124 2145 2147 2148 2151
This examiner grants 20% of resolved cases
Benjamin Matthew Rohd has a sample of 5 resolved cases in Tech Center 2100 and Art Unit 2124. The allowance rate is 20.0 percent, and the median days to allowance is 1528. These early metrics suggest a challenging environment with a wait of over four years for a grant. Practitioners should be aware that with only 5 resolved cases, these statistics are preliminary and may change as more data becomes available.
The interview lift is 100.0 percent. This indicates that in the few instances where an interview occurred, it was successful in moving the case toward allowance. However, the 20.0 percent base rate and the 1528-day median pendency remain the primary benchmarks for now. In Tech Center 2100, applicants should monitor this examiner's docket closely as more resolutions are reached. While the current data set is thin, the interview lift suggests that direct communication could be a tool for overcoming the initial difficulties observed in these 5 resolved cases in Art Unit 2124.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18193781 | METHOD AND DEVICE WITH ENSEMBLE MODEL FOR DATA LABELING | Final Rejection | SAMSUNG ELECTRONICS CO., LTD. |
| 18125554 | MULICAST AND SIMULCAST IN NEURAL ENGINES | Final Rejection | Apple Inc. |
| 18281497 | QUANTUM GENERATIVE ADVERSARIAL NETWORKS WITH PROVABLE CONVERGENCE | Non-Final OA | Google LLC |
| 18427467 | SYSTEMS AND METHODS FOR APPROXIMATION OF SHAPLEY VALUES IN MEMORY-CONSTRAINED ENVIRONMENTS | Non-Final OA | JPMORGAN CHASE BANK, N.A. |
| 18047783 | METHOD AND APPARATUS FOR TRAINING A MODEL | Final Rejection | Cloud Intelligence Assets Holding (Singapore) Private Limited |
| 18085555 | HYPERUNIFORM AND NEARLY HYPERUNIFORM NEURAL NETWORKS | Non-Final OA | International Business Machines Corporation |
| 18065296 | DOMAIN KNOWLEDGE-BASED EVALUATION OF MACHINE LEARNING MODELS | Final Rejection | International Business Machines Corporation |
| 18096444 | MACHINE LEARNING MODELS WITH INTEGRATED UNCERTAINTY | Non-Final OA | Cypress Semiconductor Corporation |
| 17888819 | INTERDEPENDENT CAUSAL NETWORKS FOR ROOT CAUSE LOCALIZATION | Final Rejection | NEC Laboratories America, Inc. |
| 17586667 | SYSTEM AND METHOD FOR MULTI-MODAL TRANSFORMER-BASED CATAGORIZATION | Final Rejection | Rakuten Group, Inc. |
| 18450745 | SMALL MOLECULE GENERATION USING MACHINE LEARNING MODELS | Non-Final OA | NVIDIA Corporation |
| 18090685 | APPARATUS FOR DETERMINING THE NUMBER OF LAYERS OF GRAPH NEURAL NETWORK BY USING REINFORCEMENT LEARNING MODEL, METHOD FOR DETERMINING THE NUMBER OF LAYERS OF GRAPH NEURAL NETWORK BY USING REINFORCEMENT LEARNING MODEL, AND RECORDING MEDIUM STORING INSTRUCTIONS TO PERFORM METHOD FOR DETERMINING THE NUMBER OF LAYERS OF GRAPH NEURAL NETWORK BY USING REINFORCEMENT LEARNING MODEL | Final Rejection | Research & Business Foundation SUNGKYUNKWAN UNIVERSITY |
| 17723047 | SYSTEM AND METHOD FOR IDENTIFICATION OF VIDEO CONTENT IN QUIC-BASED PACKET DATA NETWORKS | Final Rejection | AT&T Intellectual Property I, L.P. |
| 18267363 | SOLVING MIXED INTEGER PROGRAMS USING NEURAL NETWORKS | Non-Final OA | DeepMind Technologies Limited |
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