USPTO Art Unit 2121 Prosecution Statistics

Art Unit Information

Art Unit: 2121
Group: 2120
Tech Center: 2100
Total Cases: 9,343
Last Active: December 2024

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18990145SYSTEMS AND METHODS OF SENSOR DATA FUSIONDecember 2024April 2025Allow410YesNo
18863245VCSEL-based Coherent Scalable Deep LearningNovember 2024April 2025Allow510YesNo
18807491METHOD AND SYSTEM FOR IMPROVING MACHINE LEARNING OPERATION BY REDUCING MACHINE LEARNING BIASAugust 2024February 2025Allow610YesNo
18726756STROKE PREDICTION MULTI-ARCHITECTURE STACKED ENSEMBLE SUPERMODELJuly 2024March 2025Allow800NoNo
18675062Machine Learning Model Understanding As-A-ServiceMay 2024April 2025Allow1010NoNo
18669419SYSTEMS AND METHODS FOR MACHINE LEARNING USING A NETWORK OF DECISION-MAKING NODESMay 2024March 2025Allow1010NoNo
18654681BATCH SELECTION POLICIES FOR TRAINING MACHINE LEARNING MODELS USING ACTIVE LEARNINGMay 2024January 2025Allow810YesNo
18638513FRAMEWORK FOR CAUSAL LEARNING OF NEURAL NETWORKSApril 2024February 2025Abandon1010NoNo
18590879Defect Prediction OperationFebruary 2024February 2025Allow1210NoNo
18442718SYSTEM AND METHOD FOR MIMICKING A NEURAL NETWORK WITHOUT ACCESS TO THE ORIGINAL TRAINING DATASET OR THE TARGET MODELFebruary 2024February 2025Allow1200NoNo
18538066TOPOLOGICAL ORDER DETERMINATION USING MACHINE LEARNINGDecember 2023June 2025Abandon1820YesNo
18514663DYNAMIC ARTIFICIAL INTELLIGENCE / MACHINE LEARNING MODEL UPDATE, OR RETRAIN AND UPDATE, IN DIGITAL PROCESSES AT RUNTIMENovember 2023February 2025Allow1510NoNo
18497031SYSTEM AND METHOD FOR REAL-TIME ARTIFICIAL INTELLIGENCE SITUATION DETERMINATION BASED ON DISTRIBUTED DEVICE EVENT DATAOctober 2023April 2025Allow1810NoNo
18479775PROGRESSIVE NEURAL NETWORKSOctober 2023June 2025Allow2120YesNo
18464935ROTATING DATA FOR NEURAL NETWORK COMPUTATIONSSeptember 2023September 2024Allow1200NoNo
18450263CLASSIFYING USER BEHAVIOR AS ANOMALOUSAugust 2023March 2025Abandon1910NoNo
18272747SYSTEM AND METHOD FOR THE DISCOVERING EFFICIENT RANDOM NEURAL NETWORKSJuly 2023September 2024Allow1400NoNo
18222379FRAMEWORK FOR CAUSAL LEARNING OF NEURAL NETWORKSJuly 2023July 2024Abandon1210YesNo
18352631SYSTEMS AND METHODS FOR ASSESSING AND MITIGATING PERSONAL HEALTH HAZARDS IN AN INDOOR ENVIRONMENT FOR A PLURALITY OF OCCUPANTSJuly 2023June 2025Abandon2330YesNo
18336531HIERARCHICAL TOURNAMENT-BASED MACHINE LEARNING PREDICTIONSJune 2023December 2024Allow1810NoNo
18325744REAL TIME CONTEXT DEPENDENT DEEP LEARNINGMay 2023October 2024Allow1610NoNo
18324349THING MACHINEMay 2023September 2024Abandon1610NoNo
18312692MACHINE LEARNING TECHNIQUE FOR AUTOMATIC MODELING OF MULTIPLE-VALUED OUTPUTSMay 2023January 2025Allow2100YesNo
18312797EMPIRICAL MODELING WITH GLOBALLY ENFORCED GENERAL CONSTRAINTSMay 2023July 2024Allow1500NoNo
18140636AGENT-BASED TRAINING OF ARTIFICIAL INTELLIGENCE CHARACTER MODELSApril 2023February 2025Allow2260YesNo
18140629RELATIONSHIP GRAPHS FOR ARTIFICIAL INTELLIGENCE CHARACTER MODELSApril 2023April 2025Allow2440YesNo
18034287METHOD FOR IMPLEMENTING ADAPTIVE STOCHASTIC SPIKING NEURON BASED ON FERROELECTRIC FIELD EFFECT TRANSISTORApril 2023August 2023Allow400NoNo
18136394CLASSIFICATION OF DANGEROUS GOODS VIA MACHINE LEARNINGApril 2023August 2024Allow1600NoNo
18132635MACHINE LEARNING BASED FUNCTION TESTINGApril 2023September 2024Allow1710NoNo
18192744SYSTEM AND METHOD FOR ENHANCED DISTRIBUTION OF DATA TO COMPUTE NODESMarch 2023March 2024Allow1210YesNo
18184778SELECTION OF PAULI STRINGS FOR VARIATIONAL QUANTUM EIGENSOLVERMarch 2023June 2025Allow2720YesNo
18119450WIND POWER PREDICTION METHOD AND SYSTEM BASED ON DEEP DETERMINISTIC POLICY GRADIENT ALGORITHMMarch 2023August 2023Allow510NoNo
18116487PROSPECTIVE MEDIA CONTENT GENERATION USING NEURAL NETWORK MODELINGMarch 2023July 2024Allow1610NoNo
18112582DEEP LEARNING FOR CREDIT CONTROLSFebruary 2023April 2024Allow1420NoNo
18158166SYSTEMS AND METHODS FOR USING CONTRASTIVE PRE-TRAINING TO GENERATE TEXT AND CODE EMBEDDINGSJanuary 2023April 2024Allow1520NoNo
18151039QUANTUM COMPUTING DEVICE USING TWO GATE TYPES TO PREVENT FREQUENCY COLLISIONS IN SUPERCONDUCTING QUANTUM COMPUTERSJanuary 2023April 2023Allow300NoNo
18084948METHOD AND APPARATUS FOR GENERATING FIXED-POINT QUANTIZED NEURAL NETWORKDecember 2022March 2025Allow2740YesNo
18068408SCALABLE NEUTRAL ATOM BASED QUANTUM COMPUTINGDecember 2022June 2024Allow1810YesNo
18064708MONITORING CONSTRUCTION OF A STRUCTUREDecember 2022December 2023Abandon1210NoNo
18072969MEMORY OPTIMIZATION METHOD AND DEVICE ORIENTED TO NEURAL NETWORK COMPUTINGDecember 2022October 2024Abandon2220YesYes
17993108APPARATUS AND METHOD FOR GENERATING AN ACTIVITY ARTICLENovember 2022May 2025Abandon3050YesNo
17992769SYSTEMS AND METHODS FOR REDUCING MANUFACTURING FAILURE RATESNovember 2022December 2023Allow1310YesNo
17984986METHODS AND APPARATUS TO GENERATE COMPUTER-TRAINED MACHINE LEARNING MODELS TO CORRECT COMPUTER-GENERATED ERRORS IN AUDIENCE DATANovember 2022March 2025Abandon2810NoNo
17984754APPARATUS AND METHOD FOR CREATING NON-FUNGIBLE TOKENS (NFTS) FOR FUTURE USER EXPERIENCESNovember 2022March 2024Allow1620YesNo
17979479HIERARCHICAL TOURNAMENT-BASED MACHINE LEARNING PREDICTIONSNovember 2022March 2023Allow400NoNo
17919312LARGE DEEP LEARNING MODEL TRAINING METHOD AND SYSTEM, DEVICE AND MEDIUMOctober 2022September 2024Abandon2340YesNo
17966288METHOD AND SYSTEM FOR EXPLORING A PERSONAL INTEREST SPACEOctober 2022January 2024Allow1510NoNo
17964916SYSTEMS AND METHODS FOR QUANTUM COMPUTING BASED SAMPLE ANALYSISOctober 2022June 2023Allow800NoNo
17820106Performance Score Determiner for Binary Signal ClassifiersAugust 2022July 2023Abandon1010NoNo
17800172METHOD AND APPARATUS FOR CONVERTING NUMERICAL VALUES INTO SPIKES, ELECTRONIC DEVICE AND STORAGE MEDIUMAugust 2022July 2023Allow1110NoNo
17888230ADVERSARIAL TRAINING OF NEURAL NETWORKSAugust 2022January 2023Allow500NoNo
17887022METHOD AND APPARATUS FOR EVALUATING JOINT TRAINING MODELAugust 2022February 2025Abandon3040YesNo
17870733CLASSIFYING USER BEHAVIOR AS ANOMALOUSJuly 2022March 2023Allow800NoNo
17860035TRAINING AN ENCRYPTED FILE CLASSIFIERJuly 2022December 2024Abandon2940YesNo
17858070Dynamic Subsystem Operational Sequencing to Concurrently Control and Distribute Supervised Learning Processor Training and Provide Predictive Responses to Input DataJuly 2022April 2023Allow900NoNo
17855323OBTAINING A GENERATED DATASET WITH A PREDETERMINED BIAS FOR EVALUATING ALGORITHMIC FAIRNESS OF A MACHINE LEARNING MODELJune 2022April 2023Allow1010YesNo
17789392CLASSIFICATION MODEL TRAINING METHOD, SYSTEM, ELECTRONIC DEVICE AND STRORAGE MEDIUMJune 2022July 2023Allow1320NoNo
17850826System and Methods for Customizing Neural NetworksJune 2022April 2024Abandon2220NoNo
17839010METHODS AND APPARATUS FOR DISTRIBUTED TRAINING OF A NEURAL NETWORKJune 2022December 2023Allow1810YesNo
17833088METHOD AND APPARATUS OF EXECUTING DYNAMIC GRAPH FOR NEURAL NETWORK COMPUTATIONJune 2022November 2023Allow1720NoNo
17804253Progressive Objective Addition in Multi-objective Heuristic Systems and MethodsMay 2022August 2023Allow1510NoNo
17824312TIME-FACTORED PERFORMANCE PREDICTIONMay 2022July 2023Allow1420YesNo
17748173Pattern Identification in Time-Series Social Media Data, and Output-Dynamics Engineering for a Dynamic System Having One or More Multi-Scale Time-Series Data SetsMay 2022March 2025Abandon3440NoNo
17746690BOT BUILDER DIALOG MAPMay 2022March 2024Allow2240YesNo
17663663ARTIFICIAL INTELLIGENT SYSTEMS AND METHODS FOR IDENTIFYING A DRUNK PASSENGER BY A CAR HAILING ORDERMay 2022December 2024Abandon3110NoNo
17714570AI-BASED INPUT OUTPUT EXPANSION ADAPTER FOR A TELEMATICS DEVICE AND METHODS FOR UPDATING AN AI MODEL THEREONApril 2022March 2023Allow1220NoNo
17712380SELF-REGULATING POWER MANAGEMENT FOR A NEURAL NETWORK SYSTEMApril 2022April 2023Allow1310NoNo
17711880ARTIFICIAL INTELLIGENCE-BASED USE CASE MODEL RECOMMENDATION METHODS AND SYSTEMSApril 2022March 2023Allow1220YesNo
17689914Machine Learning-Based Media Content PlacementMarch 2022May 2025Allow3810NoNo
17672370SELECTION OF PAULI STRINGS FOR VARIATIONAL QUANTUM EIGENSOLVERFebruary 2022January 2023Allow1100NoNo
17588704Cognitive PersonasJanuary 2022June 2023Allow1610NoNo
17587658THING MACHINEJanuary 2022April 2023Allow1500NoNo
17626453MACHINE LEARNING FOR SPLICE IMPROVEMENTJanuary 2022May 2024Allow2920YesYes
17572487CONVOLUTIONAL NEURAL NETWORK TUNING SYSTEMS AND METHODSJanuary 2022December 2024Abandon3540YesNo
17646776UTILIZING MACHINE LEARNING TO PERFORM A MERGER AND OPTIMIZATION OPERATIONJanuary 2022November 2024Abandon3440YesNo
17563379HARDWARE ACCELERATOR TEMPLATE AND DESIGN FRAMEWORK FOR IMPLEMENTING RECURRENT NEURAL NETWORKSDecember 2021September 2024Abandon3340YesNo
17549966CONFIGURABLE GENERIC LANGUAGE UNDERSTANDING MODELSDecember 2021January 2024Abandon2520YesNo
17548070Data Drift Impact In A Machine Learning ModelDecember 2021December 2023Allow2440YesNo
17531337CLINICAL DECISION SUPPORT SYSTEM USING PHENOTYPIC FEATURESNovember 2021February 2025Allow3930YesNo
17520919ROTATING DATA FOR NEURAL NETWORK COMPUTATIONSNovember 2021April 2023Allow1800NoNo
17506294APPARATUS AND METHOD FOR FORECASTED PERFORMANCE LEVEL ADJUSTMENT AND MODIFICATIONOctober 2021January 2023Allow1510NoNo
17506521MACHINE LEARNING TECHNIQUES FOR ENVIRONMENTAL DISCOVERY, ENVIRONMENTAL VALIDATION, AND AUTOMATED KNOWLEDGE REPOSITORY GENERATIONOctober 2021November 2024Allow3780YesNo
17506619Convolutional Self-encoding Fault Monitoring Method Based on Batch ImagingOctober 2021March 2023Abandon1720NoNo
17503922SYSTEMS AND METHODS FOR LEGAL DOCUMENT GENERATIONOctober 2021February 2023Allow1620YesNo
17499616EXAMPLE-DRIVEN MACHINE LEARNING SCHEME FOR DIALOG SYSTEM ENGINESOctober 2021January 2024Allow2730YesNo
17495707PROCESSING AND RE-USING ASSISTED SUPPORT DATA TO INCREASE A SELF-SUPPORT KNOWLEDGE BASEOctober 2021August 2023Allow2210YesNo
17491466SYSTEM AND METHOD FOR REAL-TIME ARTIFICIAL INTELLIGENCE SITUATION DETERMINATION BASED ON DISTRIBUTED DEVICE EVENT DATASeptember 2021July 2023Allow2230YesNo
17449287Processing Data Batches in a Multi-Layer NetworkSeptember 2021June 2025Allow4510YesNo
17481977METHOD AND COMPUTER PROGRAM PRODUCT FOR TRAINING A PAIRWISE CLASSIFIER FOR USE IN ENTITY RESOLUTION IN LARGE DATA SETSSeptember 2021June 2022Allow920NoNo
17482197DEVICE FOR ASSESSING AND MANAGING A HEALTH IMPACT OF AN INDOOR ENVIRONMENT AT A SITE LOCATIONSeptember 2021May 2022Allow810YesNo
17479180Organizing Neural NetworksSeptember 2021September 2023Allow2410NoNo
17468702MODEL DEPLOYMENT METHOD, MODEL DEPLOYMENT DEVICE AND TERMINAL EQUIPMENTSeptember 2021March 2022Allow710NoNo
17468360BEHAVIOR ANALYSIS USING DISTRIBUTED REPRESENTATIONS OF EVENT DATASeptember 2021April 2024Allow3120NoNo
17404153REAL TIME CONTEXT DEPENDENT DEEP LEARNINGAugust 2021February 2023Allow1810NoNo
17402151MANAGEMENT METHOD OF MACHINE LEARNING MODEL FOR NETWORK DATA ANALYTICS FUNCTION DEVICEAugust 2021May 2025Allow4510NoNo
17399217PREDICTIVE CLASSIFICATION MODEL FOR AUTO-POPULATION OF TEXT BLOCK TEMPLATES INTO AN APPLICATIONAugust 2021April 2025Allow4410YesNo
17392299Method and System of Performing Diagnostic FlowchartAugust 2021February 2025Allow4320YesYes
17392937Systems and Methods for Debugging Neural Networks with Coverage Guided FuzzingAugust 2021November 2023Abandon2720NoNo
17371721TECHNOLOGY FOR ANALYZING SENSOR DATA TO DETECT CONFIGURATIONS OF VEHICLE OPERATIONJuly 2021September 2024Allow3810NoNo
17372267AUTOMATIC DISCOVERY OF AUTOMATED DIGITAL SYSTEMS THROUGH LINK SALIENCEJuly 2021December 2023Allow2950YesNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for art-unit 2121.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
136
Examiner Affirmed
105
(77.2%)
Examiner Reversed
31
(22.8%)
Reversal Percentile
9.4%
Lower than average

What This Means

With a 22.8% 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
546
Allowed After Appeal Filing
175
(32.1%)
Not Allowed After Appeal Filing
371
(67.9%)
Filing Benefit Percentile
46.1%
Lower 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, 32.1% 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.

Strategic Recommendations

⚠ 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 2121 - Prosecution Statistics Summary

Executive Summary

Art Unit 2121 is part of Group 2120 in Technology Center 2100. This art unit has examined 9,343 patent applications in our dataset, with an overall allowance rate of 71.1%. Applications typically reach final disposition in approximately 37 months.

Comparative Analysis

Art Unit 2121's allowance rate of 71.1% places it in the 31% 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 2121 receive an average of 1.96 office actions before reaching final disposition (in the 63% percentile). The median prosecution time is 37 months (in the 14% 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.