Prosecution Insights
Prosecution Insights
Tech Center 3600 • Art Units: 2128 2141 2145 2148 2183 3629
This examiner grants 63% of resolved cases
Corey Matthew Sackalosky is an examiner in Tech Center 3600 and Art Unit 2128. The examiner has 45 resolved cases. The allowance rate for these matters is 62.2%. This metric provides a baseline for the likelihood of securing a patent grant during prosecution. The 62.2% rate is a primary data point for evaluating the probability of success in this specific Art Unit.
The interview lift is 29.3%. This value measures the increase in the probability of allowance following an interview. A lift of 29.3% indicates that engaging in a direct dialogue with the examiner can be a productive strategy. Practitioners should weigh this 29.3% figure when deciding whether to request a formal interview for their 45 resolved cases.
The median days to allowance is 1527. This figure represents the typical time span from filing to the issuance of a patent. A median of 1527 days informs the scheduling and budget expectations for applicants. This 1527 days duration is a factor in the overall prosecution timeline.
In Tech Center 3600, the examiner's 62.2% allowance rate and 45 resolved cases define the current landscape. The interview lift serves as a tool for navigating the prosecution process toward a grant.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18190745 | MACHINE LEARNING TECHNIQUES FOR PREDICTIVE MULTI-VARIATE TEMPORAL FEATURE IMPACT DETERMINATIONS | Final Rejection | Wells Fargo Bank, N.A. |
| 18184174 | SYSTEMS AND METHODS FOR GENERATING PREDICTIVE OUTCOMES FOR SCENARIOS USING GENERATIVE ARTIFICIAL INTELLIGENCE | Final Rejection | Wells Fargo Bank, N.A. |
| 18333554 | MACHINE LEARNING METHOD, INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING APPARATUS, SERVER, AND PROGRAM | Final Rejection | FUJIFILM Corporation |
| 18099364 | SYSTEMS, APPARATUSES, METHODS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE DEVICES FOR TRAINING ARTIFICIAL-INTELLIGENCE MODELS USING ADAPTIVE DATA-SAMPLING | Final Rejection | Huawei Technologies Co., Ltd. |
| 18016350 | SELECTING A TRAINING DATASET WITH WHICH TO TRAIN A MODEL | Final Rejection | KONINKLIJKE PHILIPS N.V. |
| 17731691 | METHOD AND SYSTEM FOR SPECTROSCOPIC PREDICTION OF SUBSURFACE PROPERTIES USING MACHINE LEARNING | Non-Final OA | Saudi Arabian Oil Company |
| 18034176 | APPARATUS AND METHOD FOR EVALUATING PERFORMANCE OF DEVICE AND STORAGE MEDIUM | Final Rejection | MITSUBISHI HEAVY INDUSTRIES, LTD. |
| 18429282 | MACHINE LEARNING FOR TABULAR DATA | Non-Final OA | Fujitsu Limited |
| 17322467 | DATA SUMMARIZATION FOR TRAINING MACHINE LEARNING MODELS | Non-Final OA | FUJITSU LIMITED |
| 18430289 | MACHINE LEARNING DEVELOPMENT USING LANGUAGE MODELS | Non-Final OA | MICROSOFT TECHNOLOGY LICENSING, LLC |
| 18644621 | IMPROVEMENT TOOL RECOMMENDATION ENGINE | Non-Final OA | State Farm Mutual Automobile Insurance Company |
| 17348246 | AUTOMATICALLY AND EFFICIENTLY GENERATING SEARCH SPACES FOR NEURAL NETWORK | Non-Final OA | Lemon Inc. |
| 18248917 | Method and Apparatus for Neural Network Based on Energy-Based Latent Variable Models | Final Rejection | Tsinghua University |
| 18788527 | NEURAL NETWORK ARCHITECTURE USING CONVOLUTION ENGINES | Non-Final OA | Imagination Technologies Limited |
| 18197347 | RESOURCE FORECASTING USING ARTIFICIAL INTELLIGENCE TECHNIQUES | Final Rejection | Dell Products L.P. |
| 17814055 | EFFICIENT SAMPLING OF EDGE-WEIGHTED QUANTIZATION FOR FEDERATED LEARNING | Non-Final OA | Dell Products L.P. |
| 17580251 | DOMAIN BATCH BALANCING FOR TRAINING A MACHINE LEARNING ALGORITHM WITH DATA FROM MULTIPLE DATASETS | Non-Final OA | GM Cruise Holdings LLC |
| 17343119 | COMPUTERIZED SYSTEM AND METHOD FOR GENERATING A MODIFIED PREDICTION MODEL FOR PREDICTING USER ACTIONS AND RECOMMENDING CONTENT | Non-Final OA | VERIZON MEDIA INC. |
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