5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §103 only | 5 (100%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| THOMPSON, KYLE ALLMAN | 1 | 85.7% | +33.3% |
| GIROUX, GEORGE | 1 | 65.5% | +27.1% |
| SPRAUL III, VINCENT ANTON | 1 | 59.5% | +26.7% |
| HALES, BRIAN J | 1 | 78.2% | +31.3% |
| FACCENDA, GISEL GABRIELA | 1 | 50.0% | +45.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18180719 | METHOD AND SYSTEM FOR RELATIONAL GENERAL CONTINUAL LEARNING WITH MULTIPLE MEMORIES IN ARTIFICIAL NEURAL NETWORKS | THOMPSON, KYLE ALLMAN | 60d overdue |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18157476 | Method and System for Improving Continual Learning Through Error Sensitivity Modulation | SPRAUL III, VINCENT ANTON | 111d overdue |
| 18148257 | SPARSE CODING IN A DUAL MEMORY SYSTEM FOR LIFELONG LEARNING | HALES, BRIAN J | 70d overdue |
| 18180719 | METHOD AND SYSTEM FOR RELATIONAL GENERAL CONTINUAL LEARNING WITH MULTIPLE MEMORIES IN ARTIFICIAL NEURAL NETWORKS | THOMPSON, KYLE ALLMAN | 60d overdue |
| 18176251 | Method and System for Continual Learning in Artificial Neural Networks by Implicit-Explicit Regularization in the Function | GIROUX, GEORGE | 36d overdue |
| 18148211 | ARTIFICIAL COGNITIVE ARCHITECTURE INCORPORATING COGNITIVE COMPUTATION, INDUCTIVE BIAS AND MULTI-MEMORY SYSTEMS | FACCENDA, GISEL GABRIELA | 32d overdue |
| Art Unit | Apps |
|---|---|
| 2125 | 2 |
| 2128 | 1 |
| 2129 | 1 |
| 2127 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18180719 | METHOD AND SYSTEM FOR RELATIONAL GENERAL CONTINUAL LEARNING WITH MULTIPLE MEMORIES IN ARTIFICIAL NEURAL NETWORKS | THOMPSON, KYLE ALLMAN | 2125 | §103 | Non-Final OA | 60d overdue | Pending | Mar 08, 2023 |
| 18176251 | Method and System for Continual Learning in Artificial Neural Networks by Implicit-Explicit Regularization in the Function | GIROUX, GEORGE | 2128 | §103 | Non-Final OA | 36d overdue | Pending | Feb 28, 2023 |
| 18157476 | Method and System for Improving Continual Learning Through Error Sensitivity Modulation | SPRAUL III, VINCENT ANTON | 2129 | §103 | Non-Final OA | 111d overdue | Pending | Jan 20, 2023 |
| 18148257 | SPARSE CODING IN A DUAL MEMORY SYSTEM FOR LIFELONG LEARNING | HALES, BRIAN J | 2125 | §103 | Non-Final OA | 70d overdue | Pending | Dec 29, 2022 |
| 18148211 | ARTIFICIAL COGNITIVE ARCHITECTURE INCORPORATING COGNITIVE COMPUTATION, INDUCTIVE BIAS AND MULTI-MEMORY SYSTEMS | FACCENDA, GISEL GABRIELA | 2127 | §103 | Non-Final OA | 32d overdue | Pending | Dec 29, 2022 |
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