Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2122 2152
This examiner grants 14% of resolved cases
Jacob Zachary Sussman Moss serves in Tech Center 2100 and Art Unit 2122. Across 14 resolved cases, the examiner maintains an allowance rate of 14.3 percent. This 14.3 percent rate suggests a challenging environment for applicants seeking to secure patent grants in this specific art unit. The 14 resolved cases provide an initial indication of the examiner's standards for patentability.
However, the data reveals an interview lift of 24.2 percent. This 24.2 percent lift indicates that conducting an interview may improve the probability of allowance compared to the base rate. Practitioners should account for a median days to allowance of 1392 when planning their prosecution strategy, as this reflects the duration for successful outcomes. Given the base allowance rate, the 24.2 percent lift suggests that direct communication is an effective tool for navigating this examiner's docket and potentially managing the 1392-day timeline. Applicants should prioritize interviews to improve their odds.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17680928 | METHOD FOR DISCRIMINATING CLASS OF DATA TO BE DISCRIMINATED USING MACHINE LEARNING MODEL, INFORMATION PROCESSING DEVICE, AND COMPUTER PROGRAM | Final Rejection | SEIKO EPSON CORPORATION |
| 18265346 | LEARNING APPARATUS, LEARNING METHOD, ANOMALY DETECTION APPARATUS, ANOMALY DETECTION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM | Final Rejection | NEC Corporation |
| 18169598 | LEARNING SYSTEM AND METHOD | Final Rejection | KABUSHIKI KAISHA TOSHIBA |
| 18591304 | COMMUNICATION METHOD AND APPARATUS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 17851712 | On-The-Fly Feeding of Personalized or Domain-Specific Submodels | Non-Final OA | Google LLC |
| 18193234 | MULTIDIMENSIONAL SPACE DECOMPOSITION FOR TRANSFORMER NEURAL NETWORKS | Final Rejection | QUALCOMM Incorporated |
| 18154429 | MACHINE LEARNING MODEL ARCHITECTURE COMBINING MIXTURE OF EXPERTS AND MODEL ENSEMBLING | Non-Final OA | QUALCOMM Incorporated |
| 18365808 | SYSTEMS AND METHODS FOR CONVOLUTIONAL NEURAL NETWORK AND TRANSFORMER-BASED TIME SERIES MODELING | Final Rejection | JPMORGAN CHASE BANK, N.A. |
| 18194014 | PROVIDING MONITORED DEVICE PARAMETERS TO A KNOWLEDGE BASE SYSTEM FOR USE IN SERVICE ACTION DETERMINATION | Final Rejection | Lenovo Enterprise Solutions (Singapore) Pte Ltd. |
| 18470121 | APPARATUS, METHOD, AND COMPUTER PROGRAM | Non-Final OA | Nokia Solutions and Networks Oy |
| 18450571 | METHOD FOR REMOVING BRANCHES FROM TRAINED DEEP LEARNING MODELS | Non-Final OA | MEDIATEK INC. |
| 18062673 | GENERATING CAUSAL ASSOCIATION RANKINGS USING DYNAMIC EMBEDDINGS | Non-Final OA | International Business Machines Corporation |
| 18070775 | INTERPRETATION METHOD FOR NEURAL NETWORK MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM | Final Rejection | BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD. |
| 18582734 | CONTROL DEVICE | Non-Final OA | Hitachi, Ltd. |
| 17910431 | MULTIMODAL OBJECT CLASSIFICATION APPARATUS, METHOD, AND COMPUTER-READABLE MEDIUM | Non-Final OA | RAKUTEN GROUP, INC. |
| 18309890 | ENTITY LINKING FOR RESPONSE GENERATION IN CONVERSATIONAL AI SYSTEMS AND APPLICATIONS | Final Rejection | NVIDIA Corporation |
| 17453265 | TRAINING CLASSIFICATION MACHINE LEARNING MODELS WITH IMBALANCED TRAINING SETS | Non-Final OA | Optum, Inc. |
| 18174000 | INTELLIGENT SYSTEMATIC AGENT: AN ENSEMBLE OF DEEP LEARNING AND EVOLUTIONARY STRATEGIES | Final Rejection | PwC Product Sales LLC |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy