Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19009560 | ACCELERATED TRAINING OF NEURAL NETWORKS WITH REGULARIZATION LINKS | January 2025 | March 2025 | Allow | 2 | 0 | 0 | No | No |
| 18923458 | METHOD AND SYSTEM FOR LOCAL COMPRESSION OF ARTIFICIAL INTELLIGENCE MODEL | October 2024 | March 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 18672589 | Predicting Likelihood of Request Classifications Using Deep Learning | May 2024 | November 2024 | Allow | 6 | 1 | 0 | No | No |
| 18632180 | HIGH-DENSITY NEUROMORPHIC COMPUTING ELEMENT | April 2024 | February 2025 | Allow | 10 | 1 | 0 | No | No |
| 18601269 | APPARATUS AND METHOD FOR TRAINING A TUNABLE DATA STRUCTURE TO PREDICT INTERNAL RIBOSOME ENTRY SITE (IRES) ACTIVITY | March 2024 | August 2024 | Allow | 5 | 1 | 0 | Yes | No |
| 18690017 | MODEL GRADIENT UPDATE METHOD AND DEVICE | March 2024 | April 2025 | Allow | 13 | 1 | 0 | No | No |
| 18587242 | TARGETED INCREMENTAL GROWTH WITH CONTINUAL LEARNING IN DEEP NEURAL NETWORKS | February 2024 | September 2024 | Allow | 7 | 1 | 0 | No | No |
| 18586080 | GENERATING AND DISPLAYING CUSTOMIZED AVATARS IN MEDIA OVERLAYS | February 2024 | January 2025 | Allow | 11 | 1 | 0 | No | No |
| 18431472 | Method, Device and Equipment for Selecting Key Geological Parameters of a To-Be-Prospected Block | February 2024 | October 2024 | Abandon | 8 | 2 | 0 | Yes | No |
| 18394205 | SYSTEMS AND METHODS FOR BLIND MULTIMODAL LEARNING | December 2023 | February 2025 | Allow | 14 | 1 | 0 | No | No |
| 18544625 | SYSTEM AND METHOD FOR INTEGRATING USER FEEDBACK INTO WEBSITE BUILDING SYSTEM SERVICES | December 2023 | November 2024 | Allow | 11 | 1 | 0 | No | No |
| 18541901 | NATURAL LANGUAGE PROCESSING SYSTEM AND METHOD FOR DOCUMENTS | December 2023 | October 2024 | Allow | 10 | 1 | 0 | No | No |
| 18530909 | NEURAL PROCESSING UNIT BEING OPERATED ACCORDING TO DYNAMICALLY CALIBRATED PHASE OF CLOCK SIGNAL | December 2023 | June 2024 | Allow | 6 | 1 | 0 | No | No |
| 18517658 | METHODS AND SYSTEMS FOR PROVIDING SUBTITLES | November 2023 | October 2024 | Allow | 11 | 1 | 0 | No | No |
| 18510755 | COUNTER BASED RESISTIVE PROCESSING UNIT FOR PROGRAMMABLE AND RECONFIGURABLE ARTIFICIAL-NEURAL-NETWORKS | November 2023 | July 2025 | Allow | 20 | 1 | 0 | No | No |
| 18497893 | PRIVATE ARTIFICIAL INTELLIGENCE (AI) MODEL OF A USER FOR USE BY AN AUTONOMOUS PERSONAL COMPANION | October 2023 | April 2025 | Allow | 18 | 1 | 0 | Yes | No |
| 18495902 | MACHINE LEARNING FOR NUTRIENT QUANTITY ESTIMATION IN SCORE-BASED DIETS AND METHODS OF USE THEREOF | October 2023 | April 2025 | Abandon | 18 | 1 | 0 | No | No |
| 18378649 | METHOD FOR GENERATING PROGRAMMABLE ACTIVATION FUNCTION AND APPARATUS USING THE SAME | October 2023 | March 2025 | Allow | 17 | 1 | 0 | No | No |
| 18377796 | SYSTEMS AND METHODS FOR CREATING AND MANAGING SMART HYPERLINKS | October 2023 | October 2024 | Allow | 12 | 1 | 0 | No | No |
| 18476679 | CLASSIFYING TYPES OF SENSITIVE EVENTS FOR DATA LOSS PREVENTION | September 2023 | September 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 18475125 | DOCUMENT PARSER AND GENERATOR | September 2023 | August 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 18461473 | FLEET AND ASSET MANAGEMENT FOR EDGE COMPUTING OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE WORKLOADS DEPLOYED FROM CLOUD TO EDGE | September 2023 | June 2024 | Allow | 9 | 2 | 1 | Yes | No |
| 18451153 | SYSTEMS AND METHODS FOR STRUCTURE AND HEADER EXTRACTION | August 2023 | October 2024 | Allow | 14 | 2 | 0 | Yes | No |
| 18449970 | ESTIMATING OUTPUT CONFIDENCE FOR BLACK-BOX API | August 2023 | November 2024 | Allow | 15 | 1 | 0 | No | No |
| 18362508 | LARGE LANGUAGE MODEL REGULATION SYSTEMS AND METHODS | July 2023 | January 2025 | Abandon | 18 | 3 | 0 | Yes | No |
| 18226858 | System, Method, and Computer Program Product for Implementing a Hybrid Deep Neural Network Model to Determine a Market Strategy | July 2023 | May 2024 | Allow | 10 | 1 | 0 | No | No |
| 18271301 | System, Method, and Computer Program Product for Dynamic Node Classification in Temporal-Based Machine Learning Classification Models | July 2023 | September 2024 | Allow | 14 | 2 | 0 | Yes | No |
| 18348052 | CONTEXTUAL BANDIT FOR MULTIPLE MACHINE LEARNING MODELS FOR CONTENT DELIVERY | July 2023 | November 2024 | Allow | 16 | 3 | 0 | Yes | No |
| 18333870 | DEEP LEARNING WITH JUDGMENT | June 2023 | August 2023 | Allow | 2 | 0 | 0 | No | No |
| 18209188 | TRADE PLATFORM WITH REINFORCEMENT LEARNING | June 2023 | August 2024 | Allow | 15 | 1 | 0 | No | No |
| 18207043 | PROCESSING MACHINE LEARNING ATTRIBUTES | June 2023 | April 2025 | Allow | 22 | 4 | 0 | Yes | No |
| 18329418 | TRANSPOSING NEURAL NETWORK MATRICES IN HARDWARE | June 2023 | September 2024 | Allow | 15 | 1 | 0 | No | No |
| 18206050 | ENABLING SECURE AUTO-FILLING OF INFORMATION | June 2023 | September 2024 | Allow | 16 | 2 | 0 | Yes | No |
| 18205441 | FOLDABLE DISPLAY APPARATUS AND METHOD OF MANUFACTURING THE SAME | June 2023 | June 2024 | Allow | 13 | 1 | 0 | No | No |
| 18327527 | IMPROVING A DEEP NEURAL NETWORK WITH NODE-TO-NODE RELATIONSHIP REGULARIZATION | June 2023 | February 2024 | Allow | 8 | 1 | 0 | No | No |
| 18324453 | DETERMINING JOURNALIST RISK OF A DATASET USING POPULATION EQUIVALENCE CLASS DISTRIBUTION ESTIMATION | May 2023 | April 2025 | Abandon | 23 | 3 | 0 | Yes | No |
| 18320507 | SYSTEMS AND METHODS FOR PRESENTING WEB APPLICATION CONTENT | May 2023 | August 2024 | Allow | 14 | 2 | 0 | Yes | No |
| 18313072 | Processing Sensor Data with Multi-Model System on Resource-Constrained Device | May 2023 | March 2025 | Abandon | 23 | 2 | 0 | Yes | No |
| 18310658 | AUTOMATED SYSTEMS FOR MACHINE LEARNING MODEL DEVELOPMENT, ANALYSIS, AND REFINEMENT | May 2023 | October 2023 | Allow | 5 | 2 | 0 | Yes | No |
| 18308784 | METHOD AND SYSTEM FOR DETERMINING CONVERTER TAPPING QUANTITY | April 2023 | January 2024 | Allow | 9 | 2 | 0 | No | No |
| 18309106 | PARTITIONING SENSOR BASED DATA TO GENERATE DRIVING PATTERN MAP | April 2023 | May 2024 | Allow | 12 | 1 | 0 | No | No |
| 18138984 | DEEP LEARNING IN BIPARTITE MEMRISTIVE NETWORKS | April 2023 | March 2025 | Allow | 23 | 2 | 0 | No | No |
| 18138425 | MANAGEMENT APPARATUS FOR MONITORING AND/OR CONTROLLING A FACILITY DEVICE | April 2023 | December 2023 | Allow | 7 | 1 | 0 | No | No |
| 18303134 | NEURAL NETWORK FOR PROCESSING GRAPH DATA | April 2023 | May 2024 | Allow | 13 | 1 | 0 | No | No |
| 18133800 | SYSTEM AND METHOD FOR DEVICE IDENTIFICATION AND UNIQUENESS | April 2023 | March 2024 | Allow | 11 | 1 | 0 | No | No |
| 18132929 | HARDWARE IMPLEMENTATION OF A CONVOLUTIONAL NEURAL NETWORK | April 2023 | November 2023 | Allow | 7 | 1 | 0 | No | No |
| 18194759 | METHOD AND SYSTEM FOR ASSET GENERATION | April 2023 | July 2024 | Allow | 15 | 2 | 0 | Yes | No |
| 18181948 | DEEP LEARNING WITH JUDGMENT | March 2023 | May 2023 | Allow | 2 | 0 | 0 | No | No |
| 18116170 | STRUCTURE-BASED DEEP GENERATIVE MODEL FOR BINDING SITE DESCRIPTORS EXTRACTION AND DE NOVO MOLECULAR GENERATION | March 2023 | March 2025 | Allow | 25 | 4 | 0 | Yes | No |
| 18022985 | METHOD AND SYSTEM FOR CONSTRUCTING NEURAL NETWORK ARCHITECTURE SEARCH FRAMEWORK, DEVICE, AND MEDIUM | February 2023 | November 2024 | Abandon | 21 | 2 | 0 | No | No |
| 18111471 | HIGH-DENSITY NEUROMORPHIC COMPUTING ELEMENT | February 2023 | January 2024 | Allow | 11 | 0 | 0 | Yes | No |
| 18110430 | SEMICONDUCTOR DEVICE INCLUDING TRANSISTOR AND LIGHT-EMITTING ELEMENT | February 2023 | March 2024 | Allow | 13 | 1 | 0 | No | No |
| 18167670 | System and Method for Entangled State Identification Using Metadata | February 2023 | September 2024 | Allow | 19 | 1 | 0 | No | No |
| 18162204 | PROVISION OF COMPUTER RESOURCES BASED ON LOCATION HISTORY | January 2023 | April 2024 | Allow | 15 | 1 | 0 | No | No |
| 18103483 | EVALUATING MACHINE LEARNING MODEL PERFORMANCE BY LEVERAGING SYSTEM FAILURES | January 2023 | July 2023 | Allow | 6 | 1 | 0 | Yes | No |
| 18156168 | EXPLAINABLE TRANSDUCER TRANSFORMERS | January 2023 | June 2023 | Allow | 5 | 0 | 0 | No | No |
| 18155129 | NERVOUS SYSTEM EMULATOR ENGINE AND METHODS USING SAME | January 2023 | September 2024 | Allow | 20 | 0 | 0 | No | No |
| 18005620 | NEURAL NETWORK COMPRESSION METHOD, APPARATUS AND DEVICE, AND STORAGE MEDIUM | January 2023 | March 2024 | Allow | 14 | 1 | 0 | No | No |
| 18154551 | COMPUTERIZED ASSISTANCE USING ARTIFICIAL INTELLIGENCE KNOWLEDGE BASE | January 2023 | April 2024 | Allow | 15 | 1 | 0 | Yes | No |
| 18015976 | Systems, Methods, and Computer Program Products for Generating Node Embeddings | January 2023 | September 2024 | Allow | 20 | 3 | 0 | Yes | No |
| 18095724 | PORTABLE FLUID SENSORY DEVICE WITH LEARNING CAPABILITIES | January 2023 | January 2025 | Abandon | 24 | 2 | 1 | No | No |
| 18151180 | SYSTEM, METHOD, AND APPARATUS FOR IDENTIFYING AND PREVIEWING RESPONSES TO QUESTIONS ACROSS DIFFERENT QUESTIONNAIRES | January 2023 | July 2024 | Allow | 19 | 2 | 0 | Yes | No |
| 18012938 | SYSTEM AND METHOD FOR ACCELERATING RNN NETWORK, AND STORAGE MEDIUM | December 2022 | August 2023 | Allow | 8 | 1 | 0 | No | No |
| 18067749 | MICROSCOPE CONTROL ARRANGEMENT | December 2022 | December 2024 | Abandon | 24 | 2 | 0 | Yes | No |
| 18081721 | Controller training based on historical data | December 2022 | March 2024 | Allow | 15 | 1 | 0 | Yes | No |
| 18077506 | FONT LIBRARY GENERATION METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM | December 2022 | May 2025 | Abandon | 29 | 4 | 0 | Yes | No |
| 18061697 | GRAPH CONVOLUTIONAL NETWORKS WITH MOTIF-BASED ATTENTION | December 2022 | September 2024 | Allow | 22 | 2 | 0 | Yes | No |
| 18070195 | GENERATING, USING A MACHINE LEARNING MODEL, REQUEST AGNOSTIC INTERACTION SCORES FOR ELECTRONIC COMMUNICATIONS, AND UTILIZATION OF SAME | November 2022 | June 2025 | Allow | 30 | 2 | 0 | Yes | No |
| 17990242 | MACHINE LEARNING-BASED SYSTEMS AND METHODS FOR IDENTIFYING AND RESOLVING CONTENT ANOMALIES IN A TARGET DIGITAL ARTIFACT | November 2022 | July 2024 | Abandon | 20 | 2 | 1 | No | No |
| 17986532 | APPARATUS AND METHOD FOR DETERMINING DESIGN PLAN COMPLIANCE USING MACHINE LEARNING | November 2022 | March 2024 | Allow | 16 | 3 | 0 | Yes | No |
| 17981243 | SCALABLE SYSTEMS AND METHODS FOR CURATING USER EXPERIENCE TEST RESULTS | November 2022 | July 2023 | Allow | 9 | 2 | 0 | Yes | No |
| 17922582 | AUTOMATED MACHINE LEARNING: A UNIFIED, CUSTOMIZABLE, AND EXTENSIBLE SYSTEM | October 2022 | September 2023 | Allow | 10 | 2 | 0 | No | No |
| 17976679 | LEAN PARSING: A NATURAL LANGUAGE PROCESSING SYSTEM AND METHOD FOR PARSING DOMAIN-SPECIFIC LANGUAGES | October 2022 | March 2024 | Allow | 17 | 1 | 0 | Yes | No |
| 18050092 | AUTOMATED DATA CLASSIFICATION ERROR CORRECTION THROUGH SPATIAL ANALYSIS USING MACHINE LEARNING | October 2022 | July 2023 | Allow | 9 | 1 | 0 | Yes | No |
| 17975198 | CONTROL METHOD BASED ON ADAPTIVE NEURAL NETWORK MODEL FOR DISSOLVED OXYGEN OF AERATION SYSTEM | October 2022 | May 2023 | Allow | 7 | 2 | 0 | No | No |
| 17973344 | AUTOMATIC IDENTIFICATION OF LESSONS-LEARNED INCIDENT RECORDS | October 2022 | January 2025 | Allow | 27 | 5 | 0 | Yes | No |
| 18049106 | SYSTEM FOR DEEP LEARNING USING KNOWLEDGE GRAPHS | October 2022 | January 2025 | Allow | 26 | 2 | 0 | Yes | No |
| 17971586 | COMPUTER NETWORK ARCHITECTURE WITH MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE AND ACTIVE UPDATES OF OUTCOMES | October 2022 | April 2023 | Allow | 6 | 1 | 0 | No | No |
| 17971453 | Machine Learning Systems, Methods, Components, and Software for Recommending and Ordering Independent Medical Examinations | October 2022 | March 2025 | Abandon | 29 | 1 | 0 | No | No |
| 17968688 | METHOD AND APPARATUS FOR COMPRESSING NEURAL NETWORK MODEL | October 2022 | September 2023 | Allow | 11 | 1 | 0 | No | No |
| 18046906 | COMPUTER-IMPLEMENTED OR HARDWARE-IMPLEMENTED METHOD OF ENTITY IDENTIFICATION, A COMPUTER PROGRAM PRODUCT AND AN APPARATUS FOR ENTITY IDENTIFICATION | October 2022 | April 2023 | Allow | 6 | 1 | 0 | No | No |
| 17962348 | Activation Functions for Deep Neural Networks | October 2022 | April 2025 | Allow | 30 | 3 | 0 | No | No |
| 17960705 | MACHINE LEARNING SYSTEMS FOR PROCESSING MULTI-MODAL PATIENT DATA | October 2022 | March 2023 | Allow | 5 | 1 | 0 | Yes | No |
| 17959004 | PERFORMANCE MANAGER TO AUTONOMOUSLY EVALUATE REPLACEMENT ALGORITHMS | October 2022 | May 2023 | Allow | 7 | 0 | 0 | No | No |
| 17955763 | MACHINE LEARNING DRIVEN EXPERIMENTAL DESIGN FOR FOOD TECHNOLOGY | September 2022 | July 2024 | Abandon | 22 | 1 | 0 | No | No |
| 17953517 | METHOD FOR MULTI-TASK-BASED PREDICTING MASSIVEUSER LOADS BASED ON MULTI-CHANNEL CONVOLUTIONAL NEURAL NETWORK | September 2022 | June 2023 | Abandon | 9 | 1 | 0 | No | No |
| 17913079 | BRAIN MACHINE INTERFACE DECODING METHOD BASED ON SPIKING NEURAL NETWORK | September 2022 | November 2023 | Allow | 14 | 1 | 0 | No | No |
| 17933339 | QUANTUM ASSISTED OPTIMIZATION | September 2022 | November 2024 | Allow | 26 | 2 | 0 | Yes | No |
| 17932860 | METEOROLOGICAL BIG DATA FUSION METHOD BASED ON DEEP LEARNING | September 2022 | April 2023 | Allow | 7 | 1 | 0 | Yes | No |
| 17940798 | MACHINE LEARNING FOR NUTRIENT QUANTITY ESTIMATION IN SCORE-BASED DIETS AND METHODS OF USE THEREOF | September 2022 | June 2023 | Allow | 9 | 2 | 0 | Yes | No |
| 17939351 | SYSTEMS AND METHODS FOR BLIND MULTIMODAL LEARNING | September 2022 | August 2023 | Allow | 11 | 1 | 0 | No | No |
| 17901629 | IDENTIFYING TARGET REGIONS IN A COGNITIVE RESERVOIR SYSTEM | September 2022 | June 2025 | Allow | 34 | 2 | 0 | Yes | Yes |
| 17821910 | TRANSFERRING INFORMATION THROUGH KNOWLEDGE GRAPH EMBEDDINGS | August 2022 | June 2025 | Allow | 34 | 0 | 0 | No | No |
| 17799933 | PURE INTEGER QUANTIZATION METHOD FOR LIGHTWEIGHT NEURAL NETWORK (LNN) | August 2022 | December 2023 | Allow | 16 | 2 | 0 | Yes | No |
| 17876947 | QUBIT-IMPLEMENTED ROLE-BASED ACCESS CONTROL | July 2022 | June 2025 | Allow | 35 | 0 | 0 | No | No |
| 17816167 | NEURAL ARCHITECTURE SEARCH SYSTEM USING TRAINING BASED ON A WEIGHT-RELATED METRIC | July 2022 | March 2023 | Allow | 8 | 1 | 0 | Yes | No |
| 17795233 | NEURAL HASHING FOR SIMILARITY SEARCH | July 2022 | June 2023 | Allow | 10 | 1 | 0 | No | No |
| 17814684 | DRIFT DETECTION IN STATIC PROCESSES | July 2022 | June 2023 | Allow | 11 | 2 | 0 | Yes | No |
| 17869708 | COMPUTER-DECISION SUPPORT FOR PREDICTING AND MANAGING NON-ADHEARANCE TO TREATMENT | July 2022 | September 2024 | Allow | 26 | 4 | 0 | Yes | No |
| 17864172 | SYSTEMS AND METHODS FOR TRAINING MATRIX-BASED DIFFERENTIABLE PROGRAMS | July 2022 | May 2025 | Abandon | 34 | 2 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for art-unit 2128.
With a 29.3% 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, 32.3% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is below the USPTO average, suggesting that filing an appeal has limited effectiveness in prompting favorable reconsideration.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Art Unit 2128 is part of Group 2120 in Technology Center 2100. This art unit has examined 7,653 patent applications in our dataset, with an overall allowance rate of 64.9%. Applications typically reach final disposition in approximately 42 months.
Art Unit 2128's allowance rate of 64.9% places it in the 20% percentile among all USPTO art units. This art unit has a significantly lower allowance rate than most art units at the USPTO.
Applications in Art Unit 2128 receive an average of 2.28 office actions before reaching final disposition (in the 83% percentile). The median prosecution time is 42 months (in the 4% 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.