Technology area: Computing & Software
9 pending office actions • 8 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 30 patents granted in the last 365 days
DeepX Co., Ltd. has 9 pending office actions in Computing & Software. The matters involve 9 distinct examiners and 8 distinct art units, indicating nearly separate examiner assignments and limited repetition among technical groups.
BENNER, JANE WEI is the busiest examiner, with 1 pending matter. The available data does not identify a dominant examiner relationship. Counsel may therefore emphasize matter-specific prosecution histories, supported by a consistent explanation of the underlying technology across the closely distributed docket.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 + other | 1 (11%) |
| §103 only | 7 (78%) |
| Multi-statute (no §101) | 1 (11%) |
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 |
|---|---|---|---|
| BENNER, JANE WEI | 1 | 84.1% | +7.5% |
| LEE, JONATHAN S | 1 | 84.6% | +9.6% |
| CHEN, XUXING | 1 | 86.0% | +11.8% |
| SULLIVAN, TYLER | 1 | 67.4% | +29.4% |
| NGUYEN, AMANDA DANG | 1 | — | — |
| ILES, TYLER EDWARD | 1 | 50.0% | +71.4% |
| KWON, JUN | 1 | 42.0% | +43.4% |
| LEE, CHUN KUAN | 1 | 68.4% | +3.9% |
| MANG, VAN C | 1 | 75.2% | +26.8% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18918137 | ELECTRONIC DEVICE FOR SWITCHING MODE BY PROCESSING SENSING DATA AND SYSTEM USING THE SAME | CHEN, XUXING | 56d |
| 19300712 | ELECTRONIC DEVICE INCLUDING NPU AND DRAM FOR PERFORMING INFERENCE OF AN ARTIFICIAL NEURAL NETWORK | BENNER, JANE WEI | — |
| 19046901 | OBJECT DETECTION APPARATUS USING AN IMAGE PREPROCESSING ARTIFICIAL NEURAL NETWORK MODEL | LEE, JONATHAN S | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18031379 | A NEURAL PROCESSING UNIT COMPRISING A PROGRAMMED ACTIVATION FUNCTION EXECUTION UNIT | SULLIVAN, TYLER | — |
| 18742499 | METHOD AND STORAGE MEDIUM FOR QUANTIZATION AWARE RETRAINING FOR GRAPH-BASED NEURAL NETWORK MODEL USING SELF-DISTILLATION | NGUYEN, AMANDA DANG | — |
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 |
|---|---|---|---|
| 18918137 | ELECTRONIC DEVICE FOR SWITCHING MODE BY PROCESSING SENSING DATA AND SYSTEM USING THE SAME | CHEN, XUXING | 56d |
| 18031379 | A NEURAL PROCESSING UNIT COMPRISING A PROGRAMMED ACTIVATION FUNCTION EXECUTION UNIT | SULLIVAN, TYLER | — |
| 18639195 | METHOD AND STORAGE MEDIUM FOR QUANTIZING GRAPH-BASED NEURAL NETWORK MODEL WITH OPTIMIZED PARAMETERS | ILES, TYLER EDWARD | — |
| 18603346 | METHOD AND STORAGE MEDIUM FOR CONVERTING NON-GRAPH BASED ANN MODEL TO GRAPH BASED ANN MODEL | KWON, JUN | — |
| 17498752 | MEMORY SYSTEM OF AN ARTIFICIAL NEURAL NETWORK BASED ON A DATA LOCALITY OF AN ARTIFICIAL NEURAL NETWORK | MANG, VAN C | — |
| Art Unit | Apps |
|---|---|
| 2127 | 2 |
| 2139 | 1 |
| 2677 | 1 |
| 2176 | 1 |
| 2487 | 1 |
| 2122 | 1 |
| 2181 | 1 |
| 2126 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19300712 | ELECTRONIC DEVICE INCLUDING NPU AND DRAM FOR PERFORMING INFERENCE OF AN ARTIFICIAL NEURAL NETWORK | BENNER, JANE WEI | 2139 | §103 | Non-Final OA | — | Pending | Aug 15, 2025 |
| 19046901 | OBJECT DETECTION APPARATUS USING AN IMAGE PREPROCESSING ARTIFICIAL NEURAL NETWORK MODEL | LEE, JONATHAN S | 2677 | §103Other | Non-Final OA | — | Pending | Feb 06, 2025 |
| 18918137 | ELECTRONIC DEVICE FOR SWITCHING MODE BY PROCESSING SENSING DATA AND SYSTEM USING THE SAME | CHEN, XUXING | 2176 | §103Other | Non-Final OA | 56d | Pending | Oct 17, 2024 |
| 18031379 | A NEURAL PROCESSING UNIT COMPRISING A PROGRAMMED ACTIVATION FUNCTION EXECUTION UNIT | SULLIVAN, TYLER | 2487 | §103§112Other | Non-Final OA | — | Pending | Aug 20, 2024 |
| 18742499 | METHOD AND STORAGE MEDIUM FOR QUANTIZATION AWARE RETRAINING FOR GRAPH-BASED NEURAL NETWORK MODEL USING SELF-DISTILLATION | NGUYEN, AMANDA DANG | 2127 | §101§102§103Other | Non-Final OA | — | Pending | Jun 13, 2024 |
| 18639195 | METHOD AND STORAGE MEDIUM FOR QUANTIZING GRAPH-BASED NEURAL NETWORK MODEL WITH OPTIMIZED PARAMETERS | ILES, TYLER EDWARD | 2122 | §103 | Non-Final OA | — | Pending | Apr 18, 2024 |
| 18603346 | METHOD AND STORAGE MEDIUM FOR CONVERTING NON-GRAPH BASED ANN MODEL TO GRAPH BASED ANN MODEL | KWON, JUN | 2127 | §103Other | Non-Final OA | — | Pending | Mar 13, 2024 |
| 18594928 | Soc and system operated based on clock signals having different phases | LEE, CHUN KUAN | 2181 | §103Other | Non-Final OA | — | Pending | Mar 04, 2024 |
| 17498752 | MEMORY SYSTEM OF AN ARTIFICIAL NEURAL NETWORK BASED ON A DATA LOCALITY OF AN ARTIFICIAL NEURAL NETWORK | MANG, VAN C | 2126 | §103 | Non-Final OA | — | Pending | Oct 12, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialDeepX Co., Ltd. has 9 pending office actions as of October 2026, spread across 8 art units and 9 examiners.
Jane Wei Benner has the most, with 1 of DeepX Co., Ltd.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
