Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 11 patents granted in the last 365 days
Anhui Cambricon Information Technology Co., Ltd. maintains a patent portfolio in the Computing & Software technology area. The portfolio currently has 3 pending office actions. This activity is distributed across 3 distinct examiners, showing a diversified prosecution effort within the software sector.
The busiest examiner for the company is VICARY, KEITH E, who is currently managing 1 pending office action. The workload is spread across distinct art units. This distribution indicates that the company is pursuing multiple technological paths simultaneously, with each matter receiving attention from different specialized units within the patent office.
For a patent practitioner, this decentralized structure suggests that the company is navigating multiple specialized areas. Success in one matter may not necessarily predict outcomes in others, requiring a tailored approach for each application. The lack of concentration under a single examiner means that the company must manage multiple examiner relationships concurrently.
Based on the USPTO statutory response window for each pending office action. 3 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. 3 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 |
|---|---|
| §101 only | 1 (33%) |
| §101 + other | 1 (33%) |
| Multi-statute (no §101) | 1 (33%) |
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 |
|---|---|---|---|
| VICARY, KEITH E | 1 | 57.7% | +40.3% |
| MAC, GARY | 1 | 40.9% | +38.3% |
| WAJE, CARLO C | 1 | 68.3% | +33.4% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17619781 | VECTOR EXTENSION IN NEURAL NETWORKS | VICARY, KEITH E | 17d overdue |
| 17619816 | CONVERTER FOR CONVERTING DATA TYPE, CHIP, ELECTRONIC DEVICE, AND METHOD FOR CONVERTING DATA TYPE | WAJE, CARLO C | 4d overdue |
| 17622647 | METHOD AND APPARATUS FOR ADJUSTING QUANTIZATION PARAMETER OF RECURRENT NEURAL NETWORK, AND RELATED PRODUCT | MAC, GARY | 21d |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17619781 | VECTOR EXTENSION IN NEURAL NETWORKS | VICARY, KEITH E | 17d overdue |
| 17619816 | CONVERTER FOR CONVERTING DATA TYPE, CHIP, ELECTRONIC DEVICE, AND METHOD FOR CONVERTING DATA TYPE | WAJE, CARLO C | 4d overdue |
| 17622647 | METHOD AND APPARATUS FOR ADJUSTING QUANTIZATION PARAMETER OF RECURRENT NEURAL NETWORK, AND RELATED PRODUCT | MAC, GARY | 21d |
| Art Unit | Apps |
|---|---|
| 2183 | 1 |
| 2127 | 1 |
| 2151 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17619781 | VECTOR EXTENSION IN NEURAL NETWORKS | VICARY, KEITH E | 2183 | §102§112 | Non-Final OA | 17d overdue | Pending | Oct 03, 2022 |
| 17622647 | METHOD AND APPARATUS FOR ADJUSTING QUANTIZATION PARAMETER OF RECURRENT NEURAL NETWORK, AND RELATED PRODUCT | MAC, GARY | 2127 | §101 | Final Rejection | 21d | Pending | Dec 23, 2021 |
| 17619816 | CONVERTER FOR CONVERTING DATA TYPE, CHIP, ELECTRONIC DEVICE, AND METHOD FOR CONVERTING DATA TYPE | WAJE, CARLO C | 2151 | §101§112 | Non-Final OA | 4d overdue | Pending | Dec 16, 2021 |
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