Tech Center 2800 • Art Units: 2123 2125 2127 2812
This examiner grants 61% of resolved cases
| App # | Title | Status | Assignee |
|---|---|---|---|
| 18142170 | ELECTRONIC DEVICE FOR PERFORMING CONVOLUTION CALCULATION AND OPERATION METHOD THEREFOR | Final Rejection | SAMSUNG ELECTRONICS CO., LTD. |
| 17523977 | METHOD AND APPARATUS WITH ELECTRONIC MEMORY COPYING OF A NATURAL NEURAL NETWORK | Non-Final OA | SAMSUNG ELECTRONICS CO., LTD. |
| 17946409 | COMPILING OF TASKS FOR STREAMING OPERATIONS AT NEURAL PROCESSOR | Final Rejection | Apple Inc. |
| 18563594 | METHOD AND DEVICE FOR TESTING DEEP LEARNING MODEL AND COMPUTER STORAGE MEDIUM | Non-Final OA | BOE TECHNOLOGY GROUP CO., LTD. |
| 18458220 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM | Non-Final OA | KABUSHIKI KAISHA TOSHIBA |
| 18153655 | Method and Device Used for Providing and Evaulating a Sensor Model for Change Point Detection | Final Rejection | Robert Bosch GmbH |
| 17893050 | DEVICE AND METHOD FOR TRAINING A NEURAL NETWORK FOR IMAGE ANALYSIS | Non-Final OA | Robert Bosch GmbH |
| 17589542 | ATTENTION NEURAL NETWORKS WITH SPARSE ATTENTION MECHANISMS | Final Rejection | Google LLC |
| 17198624 | IDENTIFYING TRENDS USING EMBEDDING DRIFT OVER TIME | Non-Final OA | Capital One Services, LLC |
| 18227758 | APPROXIMATE CONFUSION MATRIX FOR MULTI-LABEL CLASSIFICATION | Non-Final OA | Oracle International Corporation |
| 18084234 | NEURON CIRCUIT WITH SYNAPTIC WEIGHT LEARNING | Final Rejection | Electronics and Telecommunications Research Institute |
| 18526214 | METHOD OF ASSESSING INPUT-OUTPUT DATASETS USING NEIGHBORHOOD CRITERIA IN THE INPUT SPACE AND THE OUTPUT SPACE | Final Rejection | Siemens Mobility GmbH |
| 18271686 | DEVICE, METHOD, AND SYSTEM FOR WEIGHTED KNOWLEDGE TRANSFER | Final Rejection | HITACHI, LTD. |
| 18269734 | TRAINING OF A MACHINE LEARNING MODEL | Final Rejection | Telefonaktiebolaget LM Ericsson (publ) |
| 18035333 | MANAGING TRAINING OF A MACHINE LEARNING MODEL | Non-Final OA | Telefonaktiebolaget LM Ericsson (publ) |
| 18677751 | SYSTEM AND METHOD OF PROTECTION AGAINST EMBEDDING INVERSION ATTACK IN RETRIEVAL AUGMENTED GENERATION | Non-Final OA | Rubrik, Inc. |
| 18343836 | System and method for training an artificial intelligent system based on entity rules, regulation rules, and core values | Final Rejection | Bank of America Corporation |
| 18098061 | TECHNIQUES FOR PRUNING NEURAL NETWORKS | Non-Final OA | NVIDIA Corporation |
| 16913160 | INTERACTION DETERMINATION USING ONE OR MORE NEURAL NETWORKS | Final Rejection | Nvidia Corporation |
| 16428760 | TRAINING A NEURAL NETWORK USING SELECTIVE WEIGHT UPDATES | Non-Final OA | NVIDIA Corporation |
| 18151548 | METHOD AND SYSTEM TO ESTIMATE PERFORMANCE OF SESSION BASED RECOMMENDATION MODEL LAYERS ON FPGA | Non-Final OA | Tata Consultancy Services Limited |
| 18477873 | ERROR MITIGATED NETWORKS OF FEED-FORWARD OPERATIONS | Non-Final OA | International Business Machines Corporation |
| 18178240 | NOISE LEARNING IN DYNAMIC QUANTUM CIRCUITS | Non-Final OA | International Business Machines Corporation |
| 17962330 | TRAINING A BIDIRECTIONAL ENCODER REPRESENTATIONS FROM TRANSFORMERS (BERT) MODEL TO GENERATE A SOFTWARE REPRESENTATION FROM AN INTERMEDIATE REPRESENTATION OF A SOFTWARE PACKAGE | Non-Final OA | International Business Machines Corporation |
| 17452517 | ADAPTIVE DRIFT DFETECTION AND PERFORMANCE MANAGEMENT FOR NON-STATIONARY DATA PROCESSING SYSTEMS | Final Rejection | INTERNATIONAL BUSINESS MACHINES CORPORATION |
| 17654333 | NON-TRANSITORY COMPUTER READABLE MEDIUM, INFORMATION PROCESSING APPARATUS, AND METHOD OF GENERATING A LEARNING MODEL FOR CLASSIFYING DATA BY CHARACTERIZING THE DATA WITH ONE LABEL AMONG A PLURALITY OF LABELS | Non-Final OA | YOKOGAWA ELECTRIC CORPORATION |
| 18648325 | SERVER APPARATUS FOR DRIVING ASSISTANCE AND METHOD OF CONTROLLING THE SAME | Non-Final OA | HL KLEMOVE CORP. |
| 17428395 | AUTOMATIC OPTIMIZATION OF MACHINE LEARNING ALGORITHMS IN THE PRESENCE OF TARGET DATASETS | Non-Final OA | Urugus S.A. |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy