Prosecution Insights
Prosecution Insights
Tech Center 3700 • Art Units: 2100 2111 2123 2129 2182 3791
This examiner grants 67% of resolved cases
Maggie T. Maido is an examiner in Tech Center 3700, Art Unit 2100. The examiner has 55 resolved cases. The allowance rate is 67.3 percent, which indicates a generally positive outcome for applicants. This 67.3 percent rate suggests that about two-thirds of the applications processed by this examiner are granted.
The interview lift is 29.1 percent. This metric shows that interviews are effective, providing an increase in the probability of allowance. The median days to allowance is 1483 days. This 1483-day timeline is a relatively long duration for successful applications to reach the allowance stage.
With 55 resolved cases, the 67.3 percent allowance rate is a key figure for practitioners. The 29.1 percent interview lift is an important consideration for prosecution strategy in Art Unit 2100. The 1483 days median pendency should be used to set realistic expectations for the time required to obtain a patent grant.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18333675 | VECTORIZATION PROCESS AND FEATURE STORE FOR VECTOR STORAGE | Final Rejection | The Toronto-Dominion Bank |
| 18023559 | LEARNING SYSTEM, LEARNING METHOD, AND COMPUTER PROGRAM | Final Rejection | NEC Corporation |
| 17236957 | VIRTUAL TELLER SYSTEMS AND METHODS | Final Rejection | Nant Holdings IP, LLC |
| 18598592 | COMMUNICATION METHOD AND APPARATUS | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18030175 | DECENTRALIZED TRAINING METHOD SUITABLE FOR DISPARATE TRAINING SETS | Final Rejection | KONINKLIJKE PHILIPS N.V. |
| 17936522 | IDENTIFYING PERFORMANCE DEGRADATION IN MACHINE LEARNING MODELS BASED ON COMPARISON OF ACTUAL AND PREDICTED RESULTS | Non-Final OA | Capital One Services, LLC |
| 18464996 | NEURAL DIRECTED ACYCLIC GRAPH (DAG) SCHEDULING VIA ONE-SHOT PRIORITY SAMPLING | Final Rejection | QUALCOMM Incorporated |
| 18325298 | SPARSITY-BASED REDUCTION OF GATE SWITCHING IN DEEP NEURAL NETWORK ACCELERATORS | Non-Final OA | Intel Corporation |
| 18688950 | DYNAMIC ML MODEL SELECTION | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 17774201 | METHODS AND APPARATUS FOR MACHINE LEARNING MODEL LIFE CYCLE | Final Rejection | Telefonaktiebolaget LM Ericsson (publ) |
| 18362727 | APPARATUS, METHOD AND COMPUTER PROGRAM | Final Rejection | Nokia Technologies Oy |
| 18103007 | NEURAL NETWORK INFERENCE UNDER HOMOMORPHIC ENCRYPTION | Final Rejection | International Business Machines Corporation |
| 18071965 | IDENTIFYING UNKOWN DECISION MAKING FACTORS FROM COMMUNICATIONS DATA | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18222844 | DYNAMIC WEB COMPONENT WITH CONFIGURABLE CONTENT | Final Rejection | ServiceNow, Inc. |
| 18423834 | RETRIEVAL STRATEGY SELECTION OPTIMIZATION USING REINFORCEMENT LEARNING | Non-Final OA | Roku, Inc. |
| 17110061 | Threshold Variation Compensation of Neurons in Spiking Neural Networks | Final Rejection | Seoul National University R&DB Foundation |
| 18313419 | EXPOSING A MACHINE LEARNING MODEL IN A NEAR REAL TIME RIC | Final Rejection | Dell Products L.P. |
| 17378616 | Machine Learning Systems and Methods for Using an Orthogonality Heuristic to Identify an Ignored Labeling Target | Final Rejection | Fortinet. Inc. |
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