USPTO Art Unit 2122 Prosecution Statistics

Art Unit Information

Art Unit: 2122
Group: 2120
Tech Center: 2100
Total Cases: 5,119
Last Active: May 2025

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
19223986TIME-SERIES DATA FEATURIZATIONMay 2025September 2025Allow410YesNo
19087299DATA PROCESSING METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUMMarch 2025October 2025Allow710NoNo
19046731SYSTEMS AND METHODS FOR FACILITATING DATA ACCESS BASED ON CRYPTOGRAPHIC DATA GENERATED USING FEDERATED LEARNINGFebruary 2025August 2025Allow600YesNo
18982085METHODS, ARCHITECTURES AND SYSTEMS FOR PROGRAM DEFINED SYSTEMSDecember 2024July 2025Allow710NoNo
18814869Hybrid Quantum/NonQuantum Approach to NP-Hard Combinatorial OptimizationAugust 2024June 2025Allow910YesNo
18763705SYSTEMS AND METHODS FOR DEVELOPING A KNOWLEDGE BASE COMPRISED OF MULTI-MODAL DATA FROM MYRIAD SOURCESJuly 2024January 2025Allow610NoNo
18757208SPIKE ANALYSIS WITH CONTEXTUALLY INFORMED SPIKE EXPLANATIONS GENERATED BY USE OF LARGE LANGUAGE MODELSJune 2024March 2026Allow2030YesNo
18609844APPARATUS AND METHOD FOR LOCAL OPTIMIZATION USING UNSUPERVISED LEARNINGMarch 2024March 2025Allow1230YesNo
18420423SYSTEMS, METHODS, AND COMPUTER READABLE MEDIA FOR VISUALIZATION OF SEMANTIC INFORMATION AND INFERENCE OF TEMPORAL SIGNALS INDICATING SALIENT ASSOCIATIONS BETWEEN LIFE SCIENCE ENTITIESJanuary 2024April 2025Abandon1410YesNo
18419807SYSTEM AND METHOD FOR ESTABLISHING CONTEXTUAL LINKS BETWEEN DATA IN A CONSTRUCTION ENVIRONMENTJanuary 2024December 2024Allow1110YesNo
18406073Rejecting Biased Data Using A Machine Learning ModelJanuary 2024April 2025Abandon1510NoNo
18393780METHODS, ARCHITECTURES AND SYSTEMS FOR PROGRAM DEFINED SYSTEMSDecember 2023July 2024Allow710NoNo
18541047ARCHITECTURES, SYSTEMS AND METHODS FOR PROGRAM DEFINED TRANSACTION SYSTEM AND DECENTRALIZED CRYPTOCURRENCY SYSTEMDecember 2023March 2024Allow300YesNo
18514482SYSTEMS AND METHODS FOR PERFORMING QUANTUM EVOLUTION IN QUANTUM COMPUTATIONNovember 2023September 2025Allow2210NoNo
18505492ENCODING AND RECONSTRUCTING INPUTS USING NEURAL NETWORKSNovember 2023November 2025Allow2410NoNo
18466751PREDICTING LIKELIHOODS OF CONDITIONS BEING SATISFIED USING NEURAL NETWORKSSeptember 2023April 2024Allow700NoNo
18353121LONG-TERM STREAMFLOW FORECAST METHOD AND SYSTEM BASED ON PROCESS-DATA SYNERGIC DRIVEJuly 2023November 2023Allow400NoNo
18350675PERFORMANCE METRICS OF RUN-TIME PREDICTIONS OF AUTOMATED MACHINE LEARNING (AUTOML) MODELS RUN ON ACTUAL HARDWARE PROCESSORSJuly 2023October 2023Allow300NoNo
18217510Internet Of Things (IOT) Big Data Artificial Intelligence Expert System Information Management And Control Systems And MethodsJune 2023June 2024Allow1100YesNo
18215297SUPERVISORY SYSTEMS FOR GENERATIVE ARTIFICIAL INTELLIGENCE MODELSJune 2023February 2024Allow810NoNo
18339658ELECTRO-OPTICAL DEVICES AND METHODS FOR IDENTIFYING AND INDUCING TOPOLOGICAL STATES FORMED AMONG INTERCONNECTING NEURAL MODULESJune 2023April 2024Allow1000YesNo
18334235Systems and Methods for Providing User Experiences on Smart Assistant SystemsJune 2023September 2024Abandon1500NoNo
18321632AUTOMATIC SEISMIC FACIES IDENTIFICATION METHOD BASED ON COMBINATION OF SELF-ATTENTION MECHANISM AND U-SHAPE NETWORK ARCHITECTUREMay 2023December 2023Allow710NoNo
18313050System and Method for Predicting Fine-Grained Adversarial Multi-Agent MotionMay 2023June 2025Allow2540YesNo
18137972MODEL INTERPRETATIONApril 2023May 2024Allow1310YesNo
18137940ENVIRONMENTAL CONDITION-BASED RISK LEVELApril 2023July 2025Allow2620YesNo
18137812DISTRIBUTED MACHINE LEARNING SYSTEMS INCLUDING GENERATION OF SYNTHETIC DATAApril 2023September 2025Allow2930NoNo
18132509Discriminative Cosine Embedding in Machine LearningApril 2023July 2024Allow1510NoNo
18122338INTEGRATED HOSPITAL LOGISTICS MANAGEMENT SYSTEM USING AI TECHNOLOGY, AND INTEGRATED HOSPITAL LOGISTICS MANAGEMENT METHOD USING SAMEMarch 2023July 2023Allow400NoNo
18184011FEDERATED MACHINE LEARNING IN ADAPTIVE TRAINING SYSTEMSMarch 2023September 2023Allow600NoNo
18116303INTERACTIVE ELECTRONIC DEVICE FOR PERFORMING FUNCTIONS OF PROVIDING RESPONSES TO QUESTIONS FROM USERS AND REAL-TIME CONVERSATION WITH THE USERS USING MODELS LEARNED BY DEEP LEARNING TECHNIQUE AND OPERATING METHOD THEREOFMarch 2023March 2024Abandon1220NoNo
18168794KNOWLEDGE TRANSFER BETWEEN RECURRENT NEURAL NETWORKSFebruary 2023July 2024Allow1720YesNo
18163156DATA DRIVEN APPROACHES TO IMPROVE UNDERSTANDING OF PROCESS-BASED MODELS AND DECISION MAKINGFebruary 2023February 2026Allow3610YesNo
18162291FUNCTION CREATION FOR DATABASE EXECUTION OF DEEP LEARNING MODELJanuary 2023November 2023Allow1010NoNo
18099289ARCHITECTURES, SYSTEMS AND METHODS FOR PROGRAM DEFINED SYSTEMJanuary 2023April 2024Abandon1420NoNo
18098270SYSTEM AND METHOD FOR VARYING VERBOSITY OF RESPONSE IN A GROUP COMMUNICATION USING ARTIFICIAL INTELLIGENCEJanuary 2023March 2026Allow3810NoNo
18097721APPARATUS AND METHOD FOR OPERATION OF A SUPERVISORY PLATFORMJanuary 2023June 2024Abandon1730YesNo
18095421Dynamically Updatable Rules Engine, and Corresponding Systems and Methods of UseJanuary 2023March 2025Allow2610YesNo
18150495TRUSTED DECISION SUPPORT SYSTEM AND METHODJanuary 2023October 2024Abandon2110NoNo
18149586COMPUTER-IMPLEMENTED METHOD FOR CONTINUAL LEARNING OF MULTIPLE TASKS SEQUENTIALLY USING A DEEP NEURAL NETWORK TOGETHER WITH A PLURALITY OF TASK-ATTENTION MODULESJanuary 2023March 2026Abandon3810NoNo
18086646CORRELATION RECURRENT UNIT FOR IMPROVING PREDICTION PERFORMANCE OF TIME-SERIES DATA AND CORRELATION RECURRENT NEURAL NETWORKDecember 2022March 2026Allow3910NoNo
18082522SYSTEM AND METHOD FOR AUTOMATIC BUILDING OF LEARNING MACHINES USING LEARNING MACHINESDecember 2022December 2025Allow3630YesNo
18081403Adaptive Optimization with Improved ConvergenceDecember 2022September 2024Allow2130YesNo
18071806REGULARIZING MACHINE LEARNING MODELSNovember 2022November 2023Allow1210YesNo
17928155PROCESSING DEVICE, PROCESSING METHOD AND PROCESSING PROGRAMNovember 2022February 2026Abandon3810NoNo
18058433CLASSIFICATION DEVICE CONFIGURED TO EXECUTE CLASSIFICATION PROCESSING USING LEARNING MACHINE MODEL, METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING COMPUTER PROGRAMNovember 2022March 2026Abandon3910NoNo
17988089SYNAPSE MEMORYNovember 2022September 2024Allow2210NoNo
17985061NEURAL NETWORK ACCELERATOR WITH PARAMETERS RESIDENT ON CHIPNovember 2022March 2023Allow500YesNo
17978025Systems and Methods for Neural Networks Allocating CapitalOctober 2022June 2025Abandon3210NoNo
18049995TRAINING NEURAL NETWORKS TO GENERATE STRUCTURED EMBEDDINGSOctober 2022June 2023Allow710NoNo
17972561GRADING APPARATUS AND METHOD BASED ON DIGITAL DATAOctober 2022February 2026Abandon4010NoNo
18046301RUNTIME RECONFIGURABLE NEURAL NETWORK PROCESSOR COREOctober 2022March 2024Allow1810NoNo
17963535STORAGE MEDIUM, ADJUSTMENT METHOD, AND INFORMATION PROCESSING APPARATUSOctober 2022March 2026Abandon4110NoNo
17932941CONSTRAINED MASKING FOR SPARSIFICATION IN MACHINE LEARNINGSeptember 2022February 2026Allow4120YesNo
17945623METHOD AND SYSTEM FOR CREATING AN ENSEMBLE OF NEURAL NETWORK-BASED CLASSIFIERS THAT OPTIMIZES A DIVERSITY METRICSeptember 2022March 2026Allow4210YesNo
17940768METHOD AND SYSTEM FOR INFERRING DEVICE FINGERPRINTSeptember 2022October 2025Allow3700NoNo
17929541NOISE COMMUNICATION FOR FEDERATED LEARNINGSeptember 2022December 2025Allow3910YesNo
17908025SYSTEM, METHOD AND NON-TRANSITORY COMPUTER READABLE MEDIUM FOR CONVOLUTIONAL NEURAL NETWORK MODEL OPTIMIZATION TARGETING BLACKBOX HARDWAREAugust 2022March 2026Allow4210YesNo
17897421Parallel Development and Deployment for Machine Learning ModelsAugust 2022May 2024Allow2110NoNo
17802921Semi-Supervised Machine Learning Method and System Suitable for Identification of Patient Subgroups in Electronic Healthcare RecordsAugust 2022December 2025Abandon4010NoNo
17895910METHODS AND SYSTEMS FOR LEARNING ONLINE TO PREDICT TIME-SERIES DATAAugust 2022January 2026Abandon4110NoNo
17893416Method, device and computer readable storage medium for estimating SOC of lithium batteryAugust 2022September 2024Abandon2540YesNo
17890953Distributed Machine Learning Systems, Apparatus, And MethodsAugust 2022February 2023Allow610NoNo
17797996FINE-GRAINED STOCHASTIC NEURAL ARCHITECTURE SEARCHAugust 2022March 2026Abandon4310YesNo
17815744INTEGRATED MACHINE LEARNING AND RULES PLATFORM FOR IMPROVED ACCURACY AND ROOT CAUSE ANALYSISJuly 2022March 2023Allow810YesNo
17869095FEDERATED CONTINUAL LEARNINGJuly 2022March 2026Allow4310NoNo
17809677Sparsified Training of Convolutional Neural NetworksJune 2022January 2026Allow4320NoNo
17842917KNOWLEDGE INFERENCE ENGINE SYSTEM AND METHOD OF IMPLEMENTATIONJune 2022September 2022Allow300NoNo
17839947STRUCTURE TRANSFORMATION DEVICE, STRUCTURE TRANSFORMATION METHOD, AND COMPUTER READABLE MEDIUMJune 2022March 2026Abandon4510NoNo
17829403STORAGE MEDIUM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUSJune 2022September 2025Abandon3910NoNo
17824556SYSTEM, METHOD, AND COMPUTER-READABLE MEDIA FOR LEAKAGE CORRECTION IN GRAPH NEURAL NETWORK BASED RECOMMENDER SYSTEMSMay 2022March 2026Allow4520NoNo
17778696ANOMALY DETECTION APPARATUS, ANOMALY DETECTION METHOD AND PROGRAMMay 2022August 2025Abandon3910NoNo
17747722SYSTEMS AND METHODS FOR SPARSE CONVOLUTION OF UNSTRUCTURED DATAMay 2022March 2026Allow4520NoNo
17777499COMMAND GENERATION APPARATUS, COMMAND GENERATION METHOD AND PROGRAMMay 2022January 2026Abandon4410NoNo
17662697Knowledge Space AnalyticsMay 2022December 2022Allow700NoNo
17774513METHOD FOR PROCESSING INPUT DATAMay 2022January 2026Abandon4410NoNo
17730518VIDEO AUGMENTATION APPARATUS AND A METHOD FOR ITS USEApril 2022August 2023Allow1620YesNo
17727861Systems, Methods, and Computer Program Products for Determining Uncertainty from a Deep Learning Classification ModelApril 2022February 2026Allow4620YesNo
17723611GENERATION METHOD, COMPUTER-READABLE RECORDING MEDIUM STORING GENERATION PROGRAM, AND INFORMATION PROCESSING APPARATUSApril 2022December 2025Abandon4310NoNo
17717547INTERACTIVE MACHINE-LEARNING FRAMEWORKApril 2022January 2026Allow4520YesNo
17717490ARCHITECTURES, SYSTEMS AND METHODS FOR PROGRAM DEFINED TRANSACTION SYSTEM AND DECENTRALIZED CRYPTOCURRENCY SYSTEMApril 2022June 2022Allow200NoNo
17766668SCORING MODEL LEARNING DEVICE, SCORING MODEL, AND DETERMINATION DEVICEApril 2022February 2026Abandon4610NoNo
17704721REINFORCEMENT LEARNING USING ADVANTAGE ESTIMATESMarch 2022January 2026Allow4640NoYes
17761145LEARNING APPARATUS, LEARNING METHOD AND PROGRAMMarch 2022October 2025Abandon4310NoNo
17686263Computer-Implemented Method of Synaptic Consolidation and Experience Replay in a Dual Memory ArchitectureMarch 2022February 2026Abandon4810NoNo
17685559ENCODING AND RECONSTRUCTING INPUTS USING NEURAL NETWORKSMarch 2022August 2023Allow1710NoNo
17686276Consistency-Regularization Based Approach for Mitigating Catastrophic Forgetting in Continual LearningMarch 2022July 2025Abandon4010NoNo
17677620AUTOMATIC MACHINE LEARNING SYSTEM, METHOD, AND DEVICEFebruary 2022March 2026Abandon4920YesNo
17635819ADVERSARIAL BANDIT CONTROL LEARNING FRAMEWORK FOR SYSTEM AND PROCESS OPTIMIZATION, SEGMENTATION, DIAGNOSTICS AND ANOMALY TRACKINGFebruary 2022January 2026Abandon4710NoNo
17633968INFORMATION PROCESSING DEVICE AND ELECTRONIC APPARATUS EQUIPPED WITH SAMEFebruary 2022February 2026Abandon4810NoNo
17633402RECOGNITION SYSTEM, MODEL PROCESSING APPARATUS, MODEL PROCESSING METHOD, AND RECORDING MEDIUM FOR INTEGRATING MODELS IN RECOGNITION PROCESSINGFebruary 2022November 2025Allow4510YesNo
17591022MACHINE LEARNING ARTIFICIAL INTELLIGENCE SYSTEM FOR PREDICTING HOURS OF OPERATIONFebruary 2022November 2023Allow2210NoNo
17649510Rejecting Biased Data Using A Machine Learning ModelJanuary 2022April 2025Abandon3930NoNo
17576301METHOD AND SYSTEM FOR GENERATING TRAINING DATA FOR A MACHINE-LEARNING ALGORITHMJanuary 2022March 2026Allow5020NoNo
17576443CHURN PREDICTION WITH MACHINE LEARNINGJanuary 2022October 2024Abandon3340YesNo
17623601ENGINE SURGE FAULT PREDICTION SYSTEM AND METHOD BASED ON FUSION NEURAL NETWORK MODELDecember 2021February 2026Abandon5020NoNo
17564189SYSTEM AND METHOD FOR RECOMMENDING CONTENTS BASED ON DEEP NEURAL NETWORKDecember 2021November 2025Abandon4710NoNo
17563656SYSTEMS, METHODS AND APPARATUS FOR GENERATING MUSIC RECOMMENDATIONS BASED ON COMBINING SONG AND USER INFLUENCERS WITH CHANNEL RULE CHARACTERIZATIONSDecember 2021October 2023Allow2210NoNo
17563924DEEP LEARNING MODELS PROCESSING TIME SERIES DATADecember 2021February 2026Allow5020NoNo
17559750BINARY EXPANSION FOR AI AND MACHINE LEARNING ACCELERATIONDecember 2021October 2025Abandon4510NoNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for art-unit 2122.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
113
Examiner Affirmed
83
(73.5%)
Examiner Reversed
30
(26.5%)
Reversal Percentile
20.0%
Lower than average

What This Means

With a 26.5% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is in the bottom 25% across the USPTO, indicating that appeals face significant challenges here.

Strategic Value of Filing an Appeal

Total Appeal Filings
370
Allowed After Appeal Filing
133
(35.9%)
Not Allowed After Appeal Filing
237
(64.1%)
Filing Benefit Percentile
69.7%
Higher than average

Understanding Appeal Filing Strategy

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, 35.9% 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.

Strategic Recommendations

⚠ 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 2122 - Prosecution Statistics Summary

Executive Summary

Art Unit 2122 is part of Group 2120 in Technology Center 2100. This art unit has examined 5,119 patent applications in our dataset, with an overall allowance rate of 69.0%. Applications typically reach final disposition in approximately 39 months.

Comparative Analysis

Art Unit 2122's allowance rate of 69.0% places it in the 29% percentile among all USPTO art units. This art unit has a below-average allowance rate compared to other art units.

Prosecution Patterns

Applications in Art Unit 2122 receive an average of 2.06 office actions before reaching final disposition (in the 64% percentile). The median prosecution time is 39 months (in the 16% percentile).

Strategic Considerations

When prosecuting applications in this art unit, consider the following:

  • The art unit's allowance rate suggests a more challenging examination environment compared to the USPTO average.
  • With more office actions than average, plan for relatively streamlined prosecution.
  • The median prosecution time is longer than average and should be factored into your continuation and client communication strategies.
  • Review individual examiner statistics within this art unit to identify examiners with particularly favorable or challenging prosecution patterns.

Important Disclaimer

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.