Prosecution Insights
Prosecution Insights
Tech Center 2100 • Art Units: 2128
This examiner grants 51% of resolved cases
Shamcy Alghazzy is an examiner in Tech Center 2100 and Art Unit 2128. He has managed 71 resolved cases, and his allowance rate is 50.7 percent. This percentage reflects the proportion of his cases that reach a grant rather than abandonment. The 71 resolved cases provide a data set for evaluating his prosecution outcomes and understanding the typical results for applications on his docket.
The interview lift for this examiner is 4.1 percent. This figure represents the change in the likelihood of an allowance when an interview occurs during the prosecution of an application. Practitioners can use this 4.1 percent lift to decide whether to request a formal discussion with the examiner. The data shows that interviews are associated with a small positive shift in the probability of a grant compared to the 50.7 percent baseline.
The median days to allowance is 1614. This number indicates the middle point of the time distribution for cases that result in a patent grant. For applications in Art Unit 2128, this 1614 median day figure serves as a timeline for the duration of the process. Practitioners should use these statistics to inform their strategy and manage expectations regarding the timing of a grant.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17947985 | STATE-DEPENDENT ACTION SPACE QUANTIZATION | Non-Final OA | Google LLC |
| 18415594 | ROBOT SYSTEM AND METHOD FOR LEARNING ONE OR MORE NEW SEMANTIC RELATIONS IN A KNOWLEDGE BASE OF PHYSICAL SKILLS | Non-Final OA | Honda Motor Co., Ltd. |
| 17143548 | DEVICE DROP DETECTION USING MACHINE LEARNING | Final Rejection | Hand Held Products, Inc. |
| 17214583 | ARCHITECTURE FOR MACHINE LEARNING (ML) ASSISTED COMMUNICATIONS NETWORKS | Non-Final OA | QUALCOMM Incorporated |
| 17254150 | TECHNIQUES TO DETECT FUSIBLE OPERATORS WITH MACHINE LEARNING | Final Rejection | INTEL CORPORATION |
| 17449165 | ADAPTIVE AGGREGATION FOR FEDERATED LEARNING | Final Rejection | SIEMENS HEALTHINEERS AG |
| 17086073 | EXPLAINERS FOR MACHINE LEARNING CLASSIFIERS | Non-Final OA | Amazon Technologies, Inc. |
| 18514391 | PARTIAL GRAPH PATH PREDICTION AND NEXT TOKEN PREDICTION JOINT TRAINING ALGORITHM FOR GENERATIVE LANGUAGE MODELS | Non-Final OA | Oracle International Corporation |
| 18624700 | INTERPRETING COMMANDS BASED ON AI-ASSISTED GENERATION OF COMMAND CONSTRUCTIONS | Non-Final OA | Microsoft Technology Licensing, LLC |
| 16367565 | METRIC VALUE CALCULATION FOR CONTINUOUS LEARNING SYSTEM | Non-Final OA | International Business Machines Corporation |
| 17117153 | HYBRID ENSEMBLE APPROACH FOR IOT PREDICTIVE MODELLING | Final Rejection | Caterpillar Inc. |
| 17361974 | DETECTION OF ABNORMAL BEHAVIOUR OF DEVICES FROM ASSOCIATED UNLABELED SENSOR OBSERVATIONS | Final Rejection | Tata Consultancy Services Limited |
| 17513684 | EFFICIENT MEMORY USE OPTIMIZATION FOR NEURAL NETWORK DEPLOYMENT AND EXECUTION | Final Rejection | Cypress Semiconductor Corporation |
| 16969964 | SEARCH SYSTEM, SEARCH METHOD, AND PROGRAM | Final Rejection | RAKUTEN GROUP, INC. |
| 18225674 | TEMPORALLY STABLE DATA RECONSTRUCTION WITH AN EXTERNAL RECURRENT NEURAL NETWORK | Final Rejection | NVIDIA Corporation |
| 18414927 | Training Deep Learning Models based on Characteristics of Accelerators for Improved Energy Efficiency in Accelerating Computations of the Models | Non-Final OA | Micron Technology, Inc. |
| 17144299 | Evaluating Supervised Learning Models Through Comparison of Actual and Predicted Model Outputs | Final Rejection | Bank of America Corporation |
| 18154407 | FEDERATED GLOBAL BATCH NORMALIZATION WITH SECURE AGGREGATION FOR FEDERATED LEARNING | Final Rejection | Dell Products L.P. |
| 17238287 | INTELLIGENT SUPPORT FRAMEWORK | Final Rejection | Dell Products L.P. |
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