Listed by the USPTO as LAHAM BAUZO, ALVARO SALIM
Tech Center 3600 • Art Units: 2123 2126 2146 2148 2196 3625
This examiner grants 50% of resolved cases
LAHAM BAUZO, ALVARO SALIM is assigned to tech center 3600 and art unit 2123. The profile contains 8 resolved cases, a 50.0% allowance rate, and a median of 1387 days to allowance.
The recorded interview lift is 100.0%, indicating a strong positive association in this small case set. The listed companies are International Business Machines Corporation, Microsoft Technology Licensing, LLC, and Samsung Electronics Co., Ltd. The associated firms are CANTOR COLBURN LLP, Harrity & Harrity, LLP, and Jefferson IP Law, LLP.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18429690 | METHOD AND ELECTRONIC DEVICE FOR NEURO-SYMBOLIC LEARNING OF ARTIFICIAL INTELLIGENCE MODEL | Non-Final OA | Samsung Electronics Co., Ltd. |
| 17662868 | APPARATUS OF MACHINE LEARNING, MACHINE LEARNING METHOD, AND INFERENCE APPARATUS | Final Rejection | Canon Kabushiki Kaisha |
| 17949745 | METHOD AND SYSTEM FOR AUTOMATIC IMPROVEMENT OF CORRUPTION ROBUSTNESS | Final Rejection | Robert Bosch GmbH |
| 18265637 | INFORMATION PROCESSING DEVICE, HYPOTHESIS GENERATION METHOD, PROGRAM, AND RECORDING MEDIUM | Final Rejection | NEC CORPORATION |
| 17952848 | DATA PROCESSING METHOD AND DEVICE FOR HYBRID PARALLISM | Non-Final OA | HUAWEI TECHNOLOGIES CO., LTD. |
| 18486653 | EFFICIENT DECODING USING LARGE AND SMALL GENERATIVE ARTIFICIAL INTELLIGENCE MODELS | Final Rejection | QUALCOMM Incorporated |
| 18429585 | SELF-IMPROVING ARTIFICIAL INTELLIGENCE PROGRAMMING | Non-Final OA | QUALCOMM Technologies, Inc. |
| 18459233 | GAI TO APP INTERFACE ENGINE | Final Rejection | Microsoft Technology Licensing, LLC |
| 18010233 | SYSTEMS AND METHODS FOR ENCODING/DECODING A DEEP NEURAL NETWORK | Non-Final OA | Interdigital CE Patent Holdings, SAS |
| 18617767 | DEFENSE AGAINST POISONING GENERATIVE MODELS | Non-Final OA | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18521318 | OBSERVABLE BACKPROPAGATION FOR IMPROVING THE DEPTH OF A QUANTUM SIMULATION | Final Rejection | International Business Machines Corporation |
| 18217091 | COUNTERFACTUAL PREDICTION AND INTERPRETABLE POLICY LEARNING FROM OBSERVATIONAL DATA USING PRESCRIPTIVE RELU NETWORKS | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 18598143 | SYSTEMS AND METHODS FOR REDUCING HISTORICAL DATA-BASED BIAS IN MACHINE LEARNING MODELS | Non-Final OA | Verizon Patent and Licensing Inc. |
| 18478048 | PHYSICAL AUGMENTATION OF PATIENT DATA FOR MEDICAL APPLICATIONS | Non-Final OA | Carl Zeiss Meditec AG |
| 18278473 | CONTINUAL LEARNING NEURAL NETWORK SYSTEM TRAINING FOR CLASSIFICATION TYPE TASKS | Final Rejection | DeepMind Technologies Limited |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy50.0% of resolved applications examined by Alvaro Salim Laham Bauzo were allowed (8 resolved cases), compared with 38.8% across Art Unit 2123 over the last five years.
This examiner's interview lift is +100.0 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Alvaro Salim Laham Bauzo took 1,387 days on average from filing to allowance.
Alvaro Salim Laham Bauzo examines applications in Art Unit 2123 in Tech Center 3600 (Transportation, E-Commerce & Mechanical Systems).
