USPTO Art Unit 2127 Prosecution Statistics

Art Unit Information

Art Unit: 2127
Group: 2120
Tech Center: 2100
Total Cases: 6,166
Last Active: October 2025

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
19360280ATTENTION NEURAL NETWORKS WITH LINEAR UNITSOctober 2025December 2025Allow200YesNo
19253802METHOD AND SYSTEM FOR NEURAL NETWORK CONFIDENCE REGULATION VIA TEMPERING FACTORJune 2025November 2025Allow400YesNo
19250334NEURAL-SYMBOLIC HYBRID SYSTEM FOR DIRECT BINARY DOCUMENT SYNTHESIS WITH INTEGRATED CONSTRAINT SATISFACTION AND HARDWARE ACCELERATIONJune 2025December 2025Allow501NoNo
19244450SYSTEMS AND METHODS OF SENSOR DATA FUSIONJune 2025September 2025Allow310YesNo
19241593DETECTION METHOD, SYSTEM, MEDIUM AND DEVICE BASED ON MULTI-SPECTRAL DATA FUSIONJune 2025August 2025Allow200YesNo
19237528AUTOMATED TECHNOLOGIES FOR ASSESSING AND CERTIFYING THE SAFETY OF AI-BASED PRODUCTS BASED ON MACHINE LEARNING ANALYSISJune 2025July 2025Allow200YesNo
19203278ANALOG AI COMPUTING ARCHITECTUREMay 2025July 2025Allow310NoNo
19196841SYSTEMS, METHODS, AND GRAPHICAL USER INTERFACES FOR MITIGATING BIAS IN A MACHINE LEARNING-BASED DECISIONING MODELMay 2025December 2025Allow811YesNo
19194437GRADIENT-BASED MODEL MERGINGApril 2025December 2025Allow720YesNo
19175902TOPOLOGICAL ORDER DETERMINATION IN CAUSAL GRAPHSApril 2025June 2025Allow200YesNo
19087062AI-ENHANCED ENTROPY MEASUREMENT SYSTEM FOR RANDOMNESS EVALUATIONMarch 2025September 2025Allow611NoNo
19085323ARTIFICIAL INTELLIGENCE MODEL GENERATED USING AGENTIC WORKFLOW SYSTEM AND METHOD FOR ARTIFICIAL INTELLIGENCE MODEL ALIGNED WITH DOMAIN-SPECIFIC PRINCIPLESMarch 2025December 2025Allow910YesNo
19109594Device And Method For Measuring A Plurality Of Blood Parameters By Artificial IntelligenceMarch 2025June 2025Allow400YesNo
19058350MACHINE LEARNING ROBUSTNESS THROUGH SENSIBLE DECISION BOUNDARIESFebruary 2025March 2026Allow1320NoNo
19057448PROPAGATING AUTHORED PACKAGES TO ASSET MANAGEMENT PLATFORMSFebruary 2025December 2025Allow1020YesNo
19050755DETECTING AND REDUCING BIAS IN MACHINE LEARNING MODELSFebruary 2025August 2025Allow610YesNo
19049186Stochastically Activated Neural Network with Training System and MethodFebruary 2025August 2025Allow610YesNo
19046748SYSTEMS AND METHODS FOR INTELLIGENT GENERATION AND ASSESSMENT OF CANDIDATE LESS DISCRIMINATORY ALTERNATIVE MACHINE LEARNING MODELSFebruary 2025April 2025Allow200YesNo
19033441AUTOMATED TECHNOLOGIES FOR ASSESSING AND CERTIFYING THE SAFETY OF AI-BASED PRODUCTS BASED ON MACHINE LEARNING ANALYSISJanuary 2025April 2025Allow300YesNo
19026469ENSEMBLE MACHINE LEARNING SYSTEMS AND METHODSJanuary 2025March 2026Allow1321YesNo
19016241SYSTEMS AND METHODS OF SENSOR DATA FUSIONJanuary 2025May 2025Allow410YesNo
19008444AGENTIC WORKFLOW SYSTEM AND METHOD FOR GENERATING SYNTHETIC DATA FOR TRAINING OR POST TRAINING ARTIFICIAL INTELLIGENCE MODELS TO BE ALIGNED WITH DOMAIN-SPECIFIC PRINCIPLESJanuary 2025February 2025Allow200YesNo
19005923HARDWARE-AWARE AUTOMATED MACHINE LEARNING (AUTOML) MODEL CREATION AND OPTIMIZATIONDecember 2024July 2025Allow610YesNo
18984272HYPERPARAMETER TUNING IN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) MODELSDecember 2024June 2025Allow510YesNo
18969830METHOD AND SYSTEM FOR USING AI MODELS TO OPTIMIZE A GOALDecember 2024May 2025Allow510YesNo
18947502TOPOLOGICAL ORDER DETERMINATION IN CAUSAL GRAPHSNovember 2024April 2025Allow510YesNo
18944178SYSTEMS AND METHODS FOR GENERATING CUSTOMIZED AI MODELSNovember 2024April 2025Allow610YesNo
18945298BUILDING AUTOMATION SYSTEM WITH SUSTAINABILITY TRACKING FEATURESNovember 2024October 2025Allow1110YesNo
18934779EXPERIMENTAL CONTENT GENERATION LEARNING MODEL FOR RAPID MACHINE LEARNING IN A DATA-CONSTRAINED ENVIRONMENTNovember 2024January 2025Allow200YesNo
18853426APPARATUS AND METHOD FOR IMPROVED INSPECTION AND/OR MAINTENANCE MANAGEMENTOctober 2024February 2025Allow400NoNo
18845907Method, System, and Computer Program Product for Ensemble Learning With RejectionSeptember 2024March 2025Allow600NoNo
18845615System, Method, and Computer Program Product for Reducing Dataset Biases in Natural Language Inference Tasks Using Unadversarial TrainingSeptember 2024February 2025Allow500YesNo
18824828SYSTEMS AND METHODS FOR OUTLIER DETECTION AND FEATURE TRANSFORMATION IN MACHINE LEARNING MODEL TRAININGSeptember 2024November 2024Allow200YesNo
18819333AUTONOMOUS, WORLD-BUILDING, LIFELONG LEARNING AGENTS AND COMPUTING ENGINES FOR GENERAL-PURPOSE INTELLIGENCEAugust 2024March 2025Allow600NoNo
18812021GENERATING VISUAL FRAMEWORKS TO EXAMINE RESULTS OF ALGORITHMIC DECISIONSAugust 2024August 2025Allow1220YesNo
18811340NETWORK FOR DETECTING EDGE CASES FOR USE IN TRAINING AUTONOMOUS VEHICLE CONTROL SYSTEMSAugust 2024January 2026Allow1720YesYes
18811610Policy-Based Control of Multimodal Machine Learning Model via Activation AnalysisAugust 2024February 2026Allow1810YesNo
18800900PROMPT ROUTING SYSTEM AND METHODAugust 2024March 2025Allow710YesNo
18786758NEURAL NETWORK OPTIMIZATION DEVICE FOR EDGE DEVICE MEETING ON-DEMAND INSTRUCTION AND METHOD USING THE SAMEJuly 2024February 2026Allow1920YesNo
18774585METHOD AND APPARATUS FOR TRAINING FEW-SHOT EVENT DETECTION MODEL BASED ON MULTILINGUAL PROMPT LEARNINGJuly 2024January 2025Allow610YesNo
18764967SYSTEMS, METHODS, AND GRAPHICAL USER INTERFACES FOR MITIGATING BIAS IN A MACHINE LEARNING-BASED DECISIONING MODELJuly 2024April 2025Allow911YesNo
18759617LAYERED MULTI-PROMPT ENGINEERING FOR PRE-TRAINED LARGE LANGUAGE MODELSJune 2024September 2025Allow1530YesNo
18750973PERFORMING TASKS USING GENERATIVE NEURAL NETWORKSJune 2024October 2025Allow1630YesNo
18742948TRAINING OPTIMIZATION FOR LOW MEMORY FOOTPRINTJune 2024October 2025Allow1620YesNo
18741000SYSTEMS AND METHODS FOR INTELLIGENT GENERATION AND ASSESSMENT OF CANDIDATE LESS DISCRIMINATORY ALTERNATIVE MACHINE LEARNING MODELSJune 2024December 2024Allow610YesNo
18734466SCALABLE TENSOR-NETWORK-BASED NOISE MITIGATION FOR NEAR-TERM QUANTUM COMPUTINGJune 2024June 2025Allow1320YesNo
18733296Dynamic Simulation AnalyticsJune 2024December 2024Allow710YesNo
18732399METHOD FOR UPDATING A NODE MODEL THAT RESISTS DISCRIMINATION PROPAGATION IN FEDERATED LEARNINGJune 2024September 2024Allow300NoNo
18672889SYSTEMS AND METHODS FOR MANAGING, DISTRIBUTING AND DEPLOYING A RECURSIVE DECISIONING SYSTEM BASED ON CONTINUOUSLY UPDATING MACHINE LEARNING MODELSMay 2024April 2025Allow1100YesNo
18669364Systems and Methods Enabling Baseline Prediction CorrectionMay 2024December 2025Abandon1910NoNo
18665210EXPERIMENTAL CONTENT GENERATION LEARNING MODEL FOR RAPID MACHINE LEARNING IN A DATA-CONSTRAINED ENVIRONMENTMay 2024July 2024Allow200YesNo
18660605METHODS AND DEVICES IN PERFORMING A VISION TESTING PROCEDURE ON A PERSONMay 2024December 2025Allow1940YesNo
18661377GRADIENT ADVERSARIAL TRAINING OF NEURAL NETWORKSMay 2024May 2025Allow1200YesNo
18659042METHOD AND APPARATUS FOR MULTI-LABEL CLASS CLASSIFICATION BASED ON COARSE-TO-FINE CONVOLUTIONAL NEURAL NETWORKMay 2024February 2026Allow2220YesNo
18646104SYSTEMS AND METHODS FOR ALIGNING LARGE MULTIMODAL MODELS (LMMs) OR LARGE LANGUAGE MODELS (LLMs) WITH DOMAIN-SPECIFIC PRINCIPLESApril 2024November 2024Allow610YesNo
18646669VIRTUAL ASSISTANT IN A COMMUNICATION SESSIONApril 2024March 2025Allow1110NoNo
18643815TRAINING METHOD AND DEVICE BASED ON IMPROVED PROTOGRAPH NEURAL DECODERApril 2024August 2024Allow410NoNo
18643787MULTI-PARTY MACHINE LEARNING USING A DATABASE CLEANROOMApril 2024September 2025Allow1710YesNo
18642669PERFORMING PROCESSING-IN-MEMORY OPERATIONS RELATED TO PRE-SYNAPTIC SPIKE SIGNALS, AND RELATED METHODS AND SYSTEMSApril 2024December 2025Allow2010NoNo
18641245SYSTEMS AND METHODS FOR INTRACORTICAL BRAIN MACHINE INTERFACE DECODINGApril 2024April 2025Allow1200YesNo
18638585GUARDRAIL MACHINE LEARNING MODEL FOR AUTOMATED SOFTWAREApril 2024November 2024Allow710NoNo
18637184METHODS, SYSTEMS, APPARATUSES, AND DEVICES FOR FACILITATING SIFR OPTIMIZER-BASED EFFICIENT NEURAL NETWORK TRAININGApril 2024August 2024Allow410NoNo
18700030SYSTEMS AND METHODS FOR NOISE-RESISTANT QUANTUM COMMUNICATION USING HYPERENTANGLEMENTApril 2024September 2024Allow500NoNo
18627258COMPUTER-BASED SYSTEMS CONFIGURED TO AUTOMATICALLY GENERATE A INTERACTION SESSION BASED ON AN INTERNAL IDENTIFICATION TOKEN AND METHODS OF USE THEREOFApril 2024July 2024Allow300YesNo
18621529CONFIGURING 360-DEGREE VIDEO WITHIN A VIRTUAL CONFERENCING SYSTEMMarch 2024November 2025Allow2020YesNo
18696993DEEP NEURAL NETWORK CHECKPOINT OPTIMIZATION SYSTEM AND METHOD BASED ON NON-VOLATILE MEMORYMarch 2024October 2025Allow1900NoNo
18611405ENSEMBLE MACHINE LEARNING SYSTEMS AND METHODSMarch 2024July 2024Allow410NoNo
18600520APPARATUS AND METHOD FOR DETERMINING A PROJECTED OCCURRENCEMarch 2024July 2024Allow510YesNo
18599955SYSTEMS AND METHODS FOR ALIGNING LARGE MULTIMODAL MODELS (LMMs) OR LARGE LANGUAGE MODELS (LLMs) WITH DOMAIN-SPECIFIC PRINCIPLESMarch 2024September 2024Allow610YesNo
18597238METHOD AND SYSTEM FOR COLLABORATIVE DELIBERATION OF A PROMPT ACROSS PARALLEL SUBGROUPSMarch 2024January 2026Abandon2220NoNo
18595047NPU AND SOC BEING OPERATED BASED ON TWO OR MORE DIFFERENT CLOCK SIGNALSMarch 2024January 2025Allow1110NoNo
18594926UNDOING APPLICATION OPERATION(S) VIA USER INTERACTION(S) WITH AN AUTOMATED ASSISTANTMarch 2024April 2025Allow1420NoNo
18686563Method, System, and Computer Program Product for Synthetic Oversampling for Boosting Supervised Anomaly DetectionFebruary 2024July 2024Allow400YesNo
18584802AMPLIFIED COLLECTIVE INTELLIGENCE IN LARGE POPULATIONS USING DEADBANDS AND NETWORKED SUB-GROUPSFebruary 2024February 2025Allow1220YesNo
18441958NEURAL PROCESSING DEVICEFebruary 2024February 2025Allow1210NoNo
18431680TRAINING MULTI-TASK NEURAL NETWORK WHILE MINIMIZING CATASTROPHIC FORGETTINGFebruary 2024March 2025Allow1310YesNo
18429937SEMICONDUCTOR DEVICE AND ELECTRONIC DEVICEFebruary 2024April 2025Allow1400NoNo
18428299CREATING A MACHINE LEARNING POLICY BASED ON EXPRESS INDICATORSJanuary 2024September 2024Allow800YesNo
18424764METHOD FOR DISTRIBUTING WORK POINTS TO A PLURALITY OF TASK-PERFORMING ROBOTSJanuary 2024May 2024Allow300NoNo
18412519METHOD FOR CONSTRUCTING TARGET PREDICTION MODEL IN MULTICENTER SMALL SAMPLE SCENARIO AND PREDICTION METHODJanuary 2024February 2025Allow1310NoNo
18408072REACTION COMPENSATED RESULT SELECTIONJanuary 2024November 2024Allow1010NoNo
18405440CIRCUIT FOR EXECUTING STATEFUL NEURAL NETWORKJanuary 2024July 2025Allow1810NoNo
18404365QUANTUM STATISTIC MACHINEJanuary 2024September 2024Allow900YesNo
18403712REASONING ENGINE SERVICESJanuary 2024February 2025Allow1411YesNo
18400767COMPOUND MODEL SCALING FOR NEURAL NETWORKSDecember 2023August 2025Allow2010NoNo
18397159DISPARITY MITIGATION IN MACHINE LEARNING-BASED PREDICTIONS FOR DISTINCT CLASSES OF DATA USING DERIVED INDISCERNIBILITY CONSTRAINTS DURING NEURAL NETWORK TRAININGDecember 2023May 2024Allow510NoNo
18393349Counterfactual Policy Evaluation of Model PerformanceDecember 2023January 2025Allow1310YesNo
18544245UNIVERSAL TRANSFORMERSDecember 2023September 2025Allow2130YesNo
18540251METHOD OF PROCESSING CONTENT AND ELECTRONIC DEVICE THEREOFDecember 2023November 2025Allow2330YesNo
18538536ANONYMOUS TRAINING OF A LEARNING MODELDecember 2023January 2026Abandon2510NoNo
18529014STANDARD ERROR FOR DEEP LEARNING MODEL OUTCOME ESTIMATORDecember 2023October 2024Allow1010NoNo
18518412SYSTEM AND METHOD FOR FAULT DETECTION OF COMPONENTS USING INFORMATION FUSION TECHNIQUENovember 2023October 2025Allow2210YesNo
18516405System, Apparatus and Method for Supporting Formal Verification of Informal Inference on a ComputerNovember 2023November 2025Abandon2410NoNo
18514202VERIFYING THE PROVENANCE OF A MACHINE LEARNING SYSTEMNovember 2023April 2024Allow510YesNo
18511672METHOD FOR DETERMINING AN UNCERTAINTY LEVEL OF DEEP REINFORCEMENT LEARNING NETWORK AND DEVICE IMPLEMENTING SUCH METHODNovember 2023May 2024Allow610YesNo
18510050PROVIDING USER INTERFACES BASED ON USE CONTEXTS AND MANAGING PLAYBACK OF MEDIANovember 2023September 2025Allow2250YesNo
18510542USER INTERFACES FOR CUSTOMIZING GRAPHICAL OBJECTSNovember 2023October 2025Allow2320YesNo
18387799ARTIFICIAL INTELLIGENCE BASED TRANSACTIONS CONTEXTUALIZATION PLATFORMNovember 2023April 2025Allow1830YesNo
18503108PREDICTING USER STATE USING MACHINE LEARNINGNovember 2023May 2025Allow1810NoNo
18386950MINI PROGRAM DATA BINDING METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUMNovember 2023May 2025Allow1820YesNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for art-unit 2127.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
169
Examiner Affirmed
116
(68.6%)
Examiner Reversed
53
(31.4%)
Reversal Percentile
45.1%
Lower than average

What This Means

With a 31.4% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings
445
Allowed After Appeal Filing
139
(31.2%)
Not Allowed After Appeal Filing
306
(68.8%)
Filing Benefit Percentile
44.9%
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, 31.2% 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 2127 - Prosecution Statistics Summary

Executive Summary

Art Unit 2127 is part of Group 2120 in Technology Center 2100. This art unit has examined 6,166 patent applications in our dataset, with an overall allowance rate of 75.4%. Applications typically reach final disposition in approximately 37 months.

Comparative Analysis

Art Unit 2127's allowance rate of 75.4% places it in the 46% 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 2127 receive an average of 1.91 office actions before reaching final disposition (in the 51% percentile). The median prosecution time is 37 months (in the 23% 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.