Listed by the USPTO as JABLON, ASHER H.
Tech Center 2100 • Art Units: 2122 2127 2174
This examiner grants 42% of resolved cases
Asher H. Jablon is an examiner in Tech Center 2100 and Art Unit 2122. The examiner has 98 resolved cases and an allowance rate of 41.8 percent. A high interview lift of 42.6 percent suggests that interviews are very effective, as they correlate with a much higher probability of allowance compared to the 41.8 percent baseline. This suggests that direct communication is a primary driver of success in this docket.
The median days to allowance is 1610. NEC Laboratories America Inc., AtomBeam Technologies Inc., and Toyota Motor Corporation are the top companies. Ahmann Kloke LLP, Barclay Damon LLP, and Cantor Colburn LLP are the leading firms. The 98 resolved cases provide the statistical basis for these metrics. Practitioners should prepare for a median pendency of 1610 days. The 41.8 percent allowance rate and 42.6 percent interview lift are the most critical factors for practitioners to consider when prosecuting applications.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18268655 | METHODS AND APPARATUSES OF DETERMINING FOR CONTROLLING A MULTI-AGENT REINFORCEMENT LEARNING ENVIRONMENT | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18758574 | INFORMATION PROCESSING SYSTEM | Non-Final OA | Toyota Jidosha Kabushiki Kaisha |
| 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 |
| 17344013 | MACHINE LEARNING ERROR REPORTING | Final Rejection | QUALCOMM Incorporated |
| 18007707 | LEARNING METHOD, LEARNING APPARATUS AND PROGRAM | Non-Final OA | NTT, Inc. |
| 18138969 | NEURAL NETWORK FOR GENERATING BOTH NODE EMBEDDINGS AND EDGE EMBEDDINGS FOR GRAPHS | Final Rejection | Salesforce, Inc. |
| 17655773 | APPROXIMATED OBJECTIVE FUNCTION FOR MONTE CARLO ALGORITHM | Final Rejection | Microsoft Technology Licensing, LLC |
| 17924054 | SYSTEMS AND METHODS FOR TRAINING AND/OR DEPLOYING A DEEP NEURAL NETWORK | Final Rejection | InterDigital CE Patent Holdings |
| 17223183 | TIME-ALIGNED RECONSTRUCTION RECURRENT NEURAL NETWORK FOR MULTI-VARIATE TIME-SERIES | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 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. |
| 17131546 | ARTIFICIAL INTELLIGENCE VIA HARDWARE-ASSISTED TOURNAMENT | Non-Final OA | Advanced Micro Devices, Inc. |
| 18436474 | SYSTEMS AND METHODS FOR RESPONDING TO LATENCY IN OUTPUT FROM A GENERATIVE MODEL | Non-Final OA | Shopify Inc. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy41.8% of resolved applications examined by Asher H. Jablon were allowed (98 resolved cases), compared with 31.6% across Art Unit 2122 over the last five years.
This examiner's interview lift is +42.6 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Asher H. Jablon took 1,610 days on average from filing to allowance.
Asher H. Jablon examines applications in Art Unit 2122 in Tech Center 2100 (Computing & Software).
