Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2122 2127 2174
This examiner grants 42% of resolved cases
Asher H. Jablon works in Tech Center 2100 and Art Unit 2122. The examiner has 97 resolved cases with an allowance rate of 42.3 percent. This rate indicates the likelihood of success for applications reaching a final resolution. The median days to allowance is 1619, which is the duration for the prosecution process. Practitioners should consider this 1619-day figure when evaluating the time commitment required to secure a patent with this examiner.
The interview lift is 43.4 percent, suggesting that interviews are an effective strategy for improving outcomes. Practitioners should use the 43.4 percent lift to overcome the 42.3 percent base allowance rate. With 97 resolved cases, the examiner's profile is well-defined by these statistics. The 1619-day median timeline requires a proactive approach, and the high interview lift provides a clear path for resolving issues. These metrics offer a framework for navigating the examination process and improving the probability of a grant in Art Unit 2122.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 19380869 | Persistent Cognitive Machine with Reversible Navigation in Dynamic Latent Manifolds | Non-Final OA | AtomBeam Technologies Inc. |
| 16207350 | COMPUTER-READABLE RECORDING MEDIUM, ABNORMALITY CANDIDATE EXTRACTION METHOD, AND ABNORMALITY CANDIDATE EXTRACTION APPARATUS BY ANALYZING TIME SERIES DATA TO DETECT A CHANGE | Non-Final OA | FUJITSU LIMITED |
| 18268655 | METHODS AND APPARATUSES OF DETERMINING FOR CONTROLLING A MULTI-AGENT REINFORCEMENT LEARNING ENVIRONMENT | Final Rejection | Telefonaktiebolaget LM Ericsson (publ) |
| 18007707 | LEARNING METHOD, LEARNING APPARATUS AND PROGRAM | Final Rejection | NTT, Inc. |
| 17924054 | SYSTEMS AND METHODS FOR TRAINING AND/OR DEPLOYING A DEEP NEURAL NETWORK | Final Rejection | InterDigital CE Patent Holdings |
| 17655773 | APPROXIMATED OBJECTIVE FUNCTION FOR MONTE CARLO ALGORITHM | Final Rejection | Microsoft Technology Licensing, LLC |
| 17223183 | TIME-ALIGNED RECONSTRUCTION RECURRENT NEURAL NETWORK FOR MULTI-VARIATE TIME-SERIES | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18138969 | NEURAL NETWORK FOR GENERATING BOTH NODE EMBEDDINGS AND EDGE EMBEDDINGS FOR GRAPHS | Final Rejection | Salesforce, Inc. |
| 18471570 | DYNAMIC CAUSAL DISCOVERY IN IMITATION LEARNING | Non-Final OA | NEC Laboratories America, Inc. |
| 18471558 | DYNAMIC CAUSAL DISCOVERY IN IMITATION LEARNING | Non-Final OA | NEC Laboratories America, Inc. |
| 17877081 | DYNAMIC CAUSAL DISCOVERY IN IMITATION LEARNING | Final Rejection | NEC Laboratories America, Inc. |
| 17535550 | AUTOMATIC ACQUISITION OF ELECTROPHYSICAL DATA POINTS USING AUTOMATED SETTING OF SIGNAL REJECTION CRITERIA BASED ON BIG DATA ANALYSIS | Non-Final OA | Biosense Webster (Israel) Ltd. |
| 18227394 | JOINT TRAINING ALGORITHM AND HYPER-PARAMETER OPTIMIZATION IN FEDERATED LEARNING SYSTEMS | Final Rejection | Rensselaer Polytechnic Institute |
| 18436474 | SYSTEMS AND METHODS FOR RESPONDING TO LATENCY IN OUTPUT FROM A GENERATIVE MODEL | Non-Final OA | Shopify Inc. |
| 17862779 | APPARATUS AND METHOD WITH NEURAL NETWORK TRAINING BASED ON KNOWLEDGE DISTILLATION | Non-Final OA | Seoul National University R&DB Foundation |
| 18436562 | MACHINE LEARNING TECHNIQUES FOR SYNTHESIZING MULTI-MODAL DATASETS | Non-Final OA | Optum, Inc. |
| 17131546 | ARTIFICIAL INTELLIGENCE VIA HARDWARE-ASSISTED TOURNAMENT | Non-Final OA | Advanced Micro Devices, Inc. |
| 15219172 | TOPOLOGICAL DATA ANALYSIS FOR IDENTIFICATION OF MARKET REGIMES FOR PREDICTION | Non-Final OA | Ayasdi AI LLC |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy