Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19315849 | System and Method for Enterprise Hierarchical Persistent Cognitive Machines with Organizational Hierarchy Awareness and Compliance Integration | September 2025 | February 2026 | Allow | 5 | 1 | 0 | No | No |
| 19294125 | Mobile-Optimized Multi-Stage LLM with Federated Persistent Cognitive Architecture | August 2025 | February 2026 | Allow | 6 | 1 | 0 | No | No |
| 19260485 | PROCESSING HETEROGENEOUS GENERATIVE ARTIFICIAL INTELLIGENCE MODELS | July 2025 | October 2025 | Allow | 4 | 1 | 0 | Yes | No |
| 19239413 | PREDICTIVE MODELING FOR DEPENDENCY CONFIGURATION IN KNOWLEDGE-AUGMENTED NEURAL NETWORKS | June 2025 | November 2025 | Allow | 5 | 1 | 0 | No | No |
| 19226048 | IDENTIFYING AND REMEDIATING GAPS IN ARTIFICIAL INTELLIGENCE USE CASES USING A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL | June 2025 | October 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 19221862 | MODULAR SOC AI/ML INFERENCE ENGINE WITH DYNAMIC UPDATES USING A CENTRAL COLLECTING AND CONSOLIDATED LAYER-TO-LAYER DATA TRANSFER TOPOLOGY AT EACH NEURAL NETWORK LAYER | May 2025 | February 2026 | Allow | 8 | 1 | 0 | Yes | No |
| 19207355 | Validating Artificial Intelligence Model Outputs Using Hash Signatures and Chunk-Level Access Controls | May 2025 | June 2025 | Allow | 1 | 0 | 0 | Yes | No |
| 19204647 | METHOD AND DEVICE FOR OPTIMIZING NEURAL NETWORK MODEL | May 2025 | February 2026 | Allow | 9 | 1 | 0 | No | No |
| 19178873 | Mobile-Optimized Multi-Stage LLM with Autonomous Reasoning | April 2025 | March 2026 | Allow | 11 | 1 | 0 | No | No |
| 19093171 | SCHEDULING METHOD FOR A MULTI-LAYER CONVOLUTIONAL NEURAL NETWORK, ELECTRONIC DEVICE AND STORAGE MEDIUM | March 2025 | November 2025 | Allow | 7 | 1 | 0 | Yes | No |
| 19072823 | GENERATIVE ARTIFICIAL INTELLIGENCE FOR CONTENT GENERATION WITH SEARCHABLE REPOSITORY | March 2025 | September 2025 | Allow | 7 | 1 | 0 | Yes | No |
| 19063602 | MODULAR OPEN SYSTEM ARCHITECTURE FOR COMMON INTELLIGENCE PICTURE GENERATION | February 2025 | July 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 19042006 | NEURAL PROCESSING UNIT OPERABLE IN MULTIPLE MODES TO APPROXIMATE ACTIVATION FUNCTION | January 2025 | July 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 19015660 | VALIDATING VECTOR CONSTRAINTS OF OUTPUTS GENERATED BY MACHINE LEARNING MODELS | January 2025 | June 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 19015646 | VALIDATING VECTOR CONSTRAINTS OF OUTPUTS GENERATED BY MACHINE LEARNING MODELS | January 2025 | June 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 18985282 | INTEGER GATE LOGIC (IGL) ARTIFICIAL NEURAL NETWORK WITH PARRALLELIZATION AND INTERNAL VISUALIZATION CAPABILITIES | December 2024 | June 2025 | Allow | 6 | 1 | 0 | Yes | No |
| 18986400 | Method and System for Assessing Drug Efficacy Using Multiple Graph Kernel Fusion | December 2024 | July 2025 | Allow | 7 | 1 | 0 | No | No |
| 18983342 | VALIDATING AUTONOMOUS ARTIFICIAL INTELLIGENCE (AI) AGENTS USING GENERATIVE AI | December 2024 | July 2025 | Allow | 7 | 1 | 0 | Yes | No |
| 18935417 | MANAGING OPERATIONAL RESILIENCE OF SYSTEM ASSETS USING AN ARTIFICIAL INTELLIGENCE MODEL | November 2024 | November 2025 | Allow | 13 | 1 | 0 | Yes | No |
| 18907213 | APPARATUS AND METHOD FOR OPTIMIZING AN OPERATION USING A DEVIATION | October 2024 | July 2025 | Allow | 9 | 1 | 0 | Yes | No |
| 18905506 | DATA-DEPENDENT TRAINING FOR AUTOMATED KNOWLEDGE SYSTEM THAT COMPRISES A NEURAL NETWORK | October 2024 | March 2025 | Allow | 6 | 1 | 0 | No | No |
| 18889371 | Identifying and Remediating Gaps in Artificial Intelligence use Cases Using a Generative Artificial Intelligence Model | September 2024 | May 2025 | Allow | 8 | 1 | 0 | Yes | No |
| 18844254 | System, Method, and Computer Program Product for Saving Memory During Training of Knowledge Graph Neural Networks | September 2024 | June 2025 | Allow | 9 | 1 | 0 | Yes | No |
| 18818342 | DATA PREFILTERING FOR LARGE SCALE DATA CLASSIFICATION | August 2024 | March 2025 | Allow | 7 | 1 | 0 | Yes | No |
| 18815286 | METHOD AND APPARATUS FOR FEW-SHOT RELATION CLASSIFICATION AND FILTERING, AND DEVICE | August 2024 | April 2025 | Allow | 7 | 1 | 0 | Yes | No |
| 18798833 | MODULAR SOC AI/ML INFERENCE ENGINE WITH DYNAMIC UPDATES USING A HUB-AND-SPOKE TOPOLOGY AT EACH NEURAL NETWORK LAYER | August 2024 | May 2025 | Allow | 9 | 1 | 0 | Yes | No |
| 18792455 | Multimodal Generative AI Model Protection Using Sequential Sidecars | August 2024 | March 2025 | Allow | 8 | 2 | 0 | No | No |
| 18781938 | MACHINE LEARNING ARCHITECTURES WITH SUB-QUADRATIC ITERATOR MODULES | July 2024 | February 2025 | Allow | 6 | 1 | 0 | Yes | No |
| 18781012 | METHOD AND SYSTEM FOR GENERATING AT LEAST ONE PERSPECTIVE OF KNOWLEDGE GRAPH | July 2024 | May 2025 | Allow | 10 | 1 | 0 | Yes | No |
| 18776350 | INTEGER GATE LOGIC ARTIFICIAL NEURAL NETWORK | July 2024 | November 2024 | Allow | 4 | 1 | 0 | Yes | No |
| 18769001 | AA2CDS:Pre-trained Amino Acid-to-Codon Sequence Mapping Enabling Efficient Expression and Yield Optimization | July 2024 | April 2025 | Allow | 9 | 2 | 0 | Yes | No |
| 18754513 | Exploratory Recommender Method and System | June 2024 | April 2025 | Allow | 9 | 2 | 0 | No | No |
| 18754575 | Probabilistically Tunable Conversational Method and System | June 2024 | April 2025 | Allow | 10 | 1 | 0 | No | No |
| 18754550 | Vector-Based Search Method and System | June 2024 | March 2025 | Allow | 9 | 1 | 0 | No | No |
| 18742404 | DATA-DEPENDENT NODE-TO-NODE KNOWLEDGE SHARING BY REGULARIZATION IN DEEP LEARNING | June 2024 | August 2024 | Allow | 2 | 1 | 0 | No | No |
| 18732648 | METHOD, DEVICE, AND MEDIUM FOR PREDICTING FLUE DUST CONCENTRATION | June 2024 | April 2025 | Allow | 11 | 1 | 0 | No | No |
| 18653858 | VALIDATING VECTOR CONSTRAINTS OF OUTPUTS GENERATED BY MACHINE LEARNING MODELS | May 2024 | November 2024 | Allow | 7 | 1 | 1 | Yes | No |
| 18622207 | MACHINE LEARNING TECHNIQUES FOR GENERATING PREDICTIONS BASED ON INCOMPLETE DATA | March 2024 | April 2025 | Allow | 12 | 2 | 0 | Yes | No |
| 18604740 | DECONVOLUTION BY CONVOLUTIONS | March 2024 | January 2026 | Allow | 22 | 3 | 0 | Yes | No |
| 18596535 | USING EMBEDDING FUNCTIONS WITH A DEEP NETWORK | March 2024 | March 2026 | Allow | 24 | 1 | 0 | No | No |
| 18444267 | TRAINING NEURAL NETWORKS USING DISTRIBUTED BATCH NORMALIZATION | February 2024 | September 2025 | Abandon | 19 | 2 | 0 | Yes | No |
| 18418201 | SYSTEMS AND METHODS FOR RESPONDING TO PREDICTED EVENTS IN TIME-SERIES DATA USING SYNTHETIC PROFILES CREATED BY ARTIFICIAL INTELLIGENCE MODELS TRAINED ON NON-HOMOGENEOUS TIME-SERIES DATA | January 2024 | August 2024 | Allow | 6 | 1 | 0 | Yes | No |
| 18408716 | Schedule-Aware Tensor Distribution Module | January 2024 | January 2025 | Allow | 12 | 1 | 0 | Yes | No |
| 18406829 | SYSTEMS AND METHODS FOR COHORT-BASED PREDICTIONS IN CLUSTERED TIME-SERIES DATA IN ORDER TO DETECT SIGNIFICANT RATE-OF-CHANGE EVENTS | January 2024 | February 2025 | Allow | 13 | 1 | 0 | Yes | No |
| 18395172 | GENERATING VECTOR REPRESENTATIONS OF DOCUMENTS | December 2023 | March 2025 | Allow | 15 | 1 | 0 | Yes | No |
| 18523482 | Method and System for Assessing Drug Efficacy Using Multiple Graph Kernel Fusion | November 2023 | September 2024 | Allow | 10 | 1 | 0 | No | No |
| 18522075 | Systems and Methods of Sparsity Exploiting | November 2023 | June 2025 | Abandon | 19 | 1 | 0 | No | No |
| 18520641 | PRIVACY PRESERVING JOINT TRAINING OF MACHINE LEARNING MODELS | November 2023 | September 2025 | Abandon | 22 | 1 | 0 | No | No |
| 18563375 | ENHANCED LAYER 1-LAYER 2 (L1/L2) TRIGGERED MOBILITY (LTM) HANDOVER (HO) PROCEDURE | November 2023 | November 2025 | Allow | 24 | 0 | 0 | No | No |
| 18508519 | NEUROMORPHIC METHOD AND APPARATUS WITH MULTI-BIT NEUROMORPHIC OPERATION | November 2023 | March 2025 | Allow | 16 | 1 | 0 | No | No |
| 18503419 | SYSTEMS AND METHODS FOR PREVENTING MACHINE LEARNING MODELS FROM NEGATIVELY AFFECTING MOBILE DEVICES THROUGH INTERMITTENT THROTTLING | November 2023 | February 2026 | Abandon | 28 | 4 | 0 | Yes | No |
| 18501455 | TECHNOLOGY FOR LOWERING PEAK POWER OF NEURAL PROCESSING UNIT USING VARIABLE FREQUENCY | November 2023 | August 2024 | Allow | 9 | 2 | 0 | No | No |
| 18381022 | QUANTUM OPERATING SYSTEM UTILIZING MULTIPLE COMPILERS | October 2023 | June 2024 | Allow | 8 | 1 | 0 | No | No |
| 18478763 | SPLICING SITE CLASSIFICATION USING NEURAL NETWORKS | September 2023 | April 2024 | Allow | 7 | 1 | 0 | Yes | No |
| 18455026 | DEEP NEURAL NETWORK ARCHITECTURE USING PIECEWISE LINEAR APPROXIMATION | August 2023 | September 2024 | Allow | 13 | 0 | 0 | Yes | No |
| 18278723 | QUANTUM CONVOLUTION OPERATOR | August 2023 | April 2024 | Allow | 8 | 1 | 0 | No | No |
| 18354569 | SYSTEMS AND METHODS FOR AGGREGATING TIME-SERIES DATA STREAMS BASED ON POTENTIAL STATE CHARACTERISTICS FOLLOWING AGGREGATION | July 2023 | August 2024 | Allow | 13 | 2 | 0 | Yes | No |
| 18353698 | DATA-DEPENDENT NODE-TO-NODE KNOWLEDGE SHARING BY REGULARIZATION IN DEEP LEARNING | July 2023 | March 2024 | Allow | 8 | 1 | 0 | No | No |
| 18351778 | CROSS-CARRIER SCHEDULING TECHNIQUES FOR MULTIPLE DISCONTINUOUS RECEPTION GROUPS | July 2023 | July 2025 | Allow | 24 | 0 | 0 | No | No |
| 18220110 | SYSTEM AND METHOD FOR SAMPLE EVALUATION TO MIMIC TARGET PROPERTIES | July 2023 | November 2023 | Allow | 4 | 1 | 0 | No | No |
| 18219555 | DETERMINISTIC TRAINING OF MACHINE LEARNING MODELS | July 2023 | January 2024 | Allow | 7 | 1 | 0 | No | No |
| 18347992 | INITIAL ATTACH PRIORIZATION METHOD AND SYSTEM | July 2023 | July 2025 | Allow | 25 | 0 | 0 | No | No |
| 18341839 | NETWORK HANDOVER METHOD, TERMINAL DEVICE, AND ACCESS POINT DEVICE FOR PERFORMING HANDOVER BY REUSING AN ESTABLISHED PROTOCOL STACK LINK | June 2023 | February 2026 | Allow | 31 | 1 | 0 | No | No |
| 18268740 | System, Method, and Computer Program Product for Adaptive Feature Optimization During Unsupervised Training of Classification Models | June 2023 | November 2025 | Abandon | 28 | 4 | 0 | Yes | Yes |
| 18338744 | Stochastic Control with a Quantum Computer | June 2023 | October 2025 | Allow | 28 | 1 | 0 | No | No |
| 18267869 | NETWORK CONTROLLED SMALL GAP (NCSG) CONFIGURATIONS TO REDUCE INTERRUPTIONS DUE TO INTRA-RAT BANDWIDTH PART (BWP) TRANSITIONS | June 2023 | November 2025 | Allow | 29 | 1 | 0 | No | No |
| 18327850 | SYSTEMS AND METHODS FOR RESPONDING TO PREDICTED EVENTS IN TIME-SERIES DATA USING SYNTHETIC PROFILES CREATED BY ARTIFICIAL INTELLIGENCE MODELS TRAINED ON NON-HOMOGENEOUS TIME-SERIES DATA | June 2023 | February 2024 | Allow | 8 | 1 | 0 | No | No |
| 18325043 | Multi-mode Array Structure and Chip for In-memory Computing | May 2023 | December 2023 | Allow | 7 | 1 | 0 | No | No |
| 18251262 | BEAM SELECTION FOR WIRELESS COMMUNICATION NETWORK | May 2023 | January 2026 | Abandon | 32 | 1 | 0 | No | No |
| 18310405 | Method and Apparatus for Amplitude Estimation of Quantum Circuit, Storage Medium, and Electronic Apparatus | May 2023 | December 2023 | Allow | 7 | 1 | 0 | No | No |
| 18141296 | SYSTEMS AND METHODS FOR DATA STRUCTURE GENERATION BASED ON OUTLIER CLUSTERING | April 2023 | September 2023 | Allow | 4 | 1 | 0 | Yes | No |
| 18140633 | ARTIFICIAL INTELLIGENCE CHARACTER MODELS WITH MODIFIABLE BEHAVIORAL CHARACTERISTICS | April 2023 | May 2024 | Allow | 13 | 3 | 0 | Yes | No |
| 18305696 | METHOD AND DEVICE FOR SAVING ENERGY IN WIRELESS COMMUNICATION SYSTEM | April 2023 | February 2026 | Allow | 34 | 2 | 0 | No | No |
| 18303946 | INSTALLING WIRELESS RANGE EXTENDER WITHIN A CUSTOMER PREMISES OF A SERVICE PROVIDER NETWORK | April 2023 | November 2025 | Allow | 31 | 1 | 0 | No | No |
| 18301660 | METHODS FOR DEVELOPMENT OF A MACHINE LEARNING SYSTEM THROUGH LAYERED GRADIENT BOOSTING | April 2023 | August 2023 | Allow | 4 | 0 | 0 | No | No |
| 18299717 | NEURAL NETWORK HARDWARE ACCELERATOR DATA PARALLELISM | April 2023 | May 2024 | Allow | 13 | 1 | 0 | No | No |
| 18130257 | APPARATUS AND A METHOD FOR DIGITAL ASSET MAP GENERATION | April 2023 | November 2024 | Allow | 20 | 3 | 0 | Yes | No |
| 18295011 | METAFAAS ARCHITECTURE FOR TRAINING ON SERVERLESS INSTANCES | April 2023 | March 2026 | Allow | 36 | 1 | 0 | No | No |
| 18028566 | NEURAL NETWORK RETRAINING METHOD BASED ON AGING SENSING OF MEMRISTORS | March 2023 | June 2024 | Allow | 15 | 1 | 0 | Yes | No |
| 18124045 | CROP MONITORING SYSTEM AND METHOD THEREOF | March 2023 | August 2023 | Allow | 5 | 1 | 0 | No | No |
| 18123097 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR INTERFACING SOFTWARE ENGINES | March 2023 | January 2024 | Allow | 10 | 2 | 0 | Yes | No |
| 18245829 | Apparatus and Method for Controlling a Growth Environment of a Plant | March 2023 | November 2025 | Allow | 32 | 2 | 1 | Yes | No |
| 18122641 | UNCERTAINTY QUANTIFICATION FOR MACHINE LEARNING CLASSIFICATION MODELLING | March 2023 | December 2024 | Allow | 21 | 4 | 0 | Yes | No |
| 18120137 | TWO-DIMENSIONAL ARRAY-BASED NEUROMORPHIC PROCESSOR AND IMPLEMENTING METHOD | March 2023 | October 2023 | Allow | 8 | 1 | 0 | No | No |
| 18117986 | AUTOMATED FACTOR GENERATION FOR DECISION ENGINES | March 2023 | December 2023 | Allow | 10 | 2 | 0 | Yes | No |
| 18174498 | SYSTEMS AND METHODS FOR COHORT-BASED PREDICTIONS IN CLUSTERED TIME-SERIES DATA IN ORDER TO DETECT SIGNIFICANT RATE-OF-CHANGE EVENTS | February 2023 | November 2023 | Allow | 8 | 1 | 0 | Yes | No |
| 18110830 | FIRST-QUANTIZATION BLOCK ENCODING FOR QUANTUM EMULATION | February 2023 | January 2026 | Allow | 35 | 0 | 0 | No | No |
| 18020014 | CONSTRUCTING AND PROGRAMMING DRIVER GRAPHS IN QUANTUM HARDWARE FOR NON-STOQUASTIC QUANTUM OPTIMIZATION ANNEALING PROCESSES | February 2023 | April 2024 | Allow | 14 | 2 | 0 | Yes | No |
| 18161312 | System and Method for Improving Generalization in Neural Networks Using Selective Reinitialization | January 2023 | March 2026 | Abandon | 38 | 1 | 0 | No | No |
| 18099904 | SELECTION OF MACHINE LEARNING ALGORITHMS | January 2023 | August 2024 | Allow | 18 | 2 | 0 | No | No |
| 18098898 | SYSTEM AND METHOD FOR SAMPLE EVALUATION TO MIMIC TARGET PROPERTIES | January 2023 | June 2023 | Allow | 5 | 1 | 0 | No | No |
| 18152102 | METHOD AND APPARATUS FOR INFORMATION REPRESENTATION, EXCHANGE, VALIDATION, AND UTILIZATION THROUGH DIGITAL CONSOLIDATION | January 2023 | February 2024 | Allow | 13 | 1 | 1 | Yes | No |
| 18003685 | INTEGRATED CIRCUIT WITH DYNAMIC FUSING OF NEURAL NETWORK BRANCH STRUCTURES BY TOPOLOGICAL SEQUENCING | December 2022 | December 2025 | Allow | 36 | 1 | 0 | No | No |
| 18146075 | USING CONSISTENCY METADATA FOR FILTERING OF MACHINE LEARNING DATA ACROSS JOBS | December 2022 | December 2025 | Allow | 36 | 0 | 0 | No | No |
| 18087357 | CLIFFORD NEURAL LAYERS FOR MULTIVECTOR SYSTEM MODELING | December 2022 | March 2026 | Allow | 39 | 2 | 0 | Yes | No |
| 18145417 | LOCAL INTERPRETABILITY ARCHITECTURE FOR A NEURAL NETWORK | December 2022 | March 2026 | Allow | 38 | 1 | 0 | Yes | No |
| 18085926 | SYSTEM AND METHOD FOR DISTRIBUTING USER INTERFACE DEVICE CONFIGURATIONS | December 2022 | November 2025 | Allow | 34 | 0 | 0 | No | No |
| 18083082 | Temporally Sequenced Content Recommender Method and System | December 2022 | July 2025 | Allow | 31 | 2 | 0 | Yes | Yes |
| 18065441 | SYSTEMS AND METHODS FOR RESPONDING TO PREDICTED EVENTS IN TIME-SERIES DATA USING SYNTHETIC PROFILES CREATED BY ARTIFICIAL INTELLIGENCE MODELS TRAINED ON NON-HOMOGENOUS TIME SERIES-DATA | December 2022 | May 2023 | Allow | 5 | 1 | 0 | Yes | No |
| 18065393 | QUANTIZATION-AWARE TRAINING WITH NUMERICAL OVERFLOW AVOIDANCE FOR NEURAL NETWORKS | December 2022 | March 2026 | Allow | 39 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for art-unit 2125.
With a 28.3% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 36.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Art Unit 2125 is part of Group 2120 in Technology Center 2100. This art unit has examined 6,148 patent applications in our dataset, with an overall allowance rate of 79.4%. Applications typically reach final disposition in approximately 34 months.
Art Unit 2125's allowance rate of 79.4% places it in the 60% percentile among all USPTO art units. This art unit has an above-average allowance rate compared to other art units.
Applications in Art Unit 2125 receive an average of 1.70 office actions before reaching final disposition (in the 34% percentile). The median prosecution time is 34 months (in the 33% percentile).
When prosecuting applications in this art unit, consider the following:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.