USPTO Art Unit 2127 Prosecution Statistics

Art Unit Information

Art Unit: 2127
Group: 2120
Tech Center: 2100
Total Cases: 6,152
Last Active: March 2025

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
19109594Device And Method For Measuring A Plurality Of Blood Parameters By Artificial IntelligenceMarch 2025June 2025Allow400YesNo
19046748SYSTEMS AND METHODS FOR INTELLIGENT GENERATION AND ASSESSMENT OF CANDIDATE LESS DISCRIMINATORY ALTERNATIVE MACHINE LEARNING MODELSFebruary 2025April 2025Allow200YesNo
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
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
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
18800900PROMPT ROUTING SYSTEM AND METHODAugust 2024March 2025Allow710YesNo
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
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
18665210EXPERIMENTAL CONTENT GENERATION LEARNING MODEL FOR RAPID MACHINE LEARNING IN A DATA-CONSTRAINED ENVIRONMENTMay 2024July 2024Allow200YesNo
18661377GRADIENT ADVERSARIAL TRAINING OF NEURAL NETWORKSMay 2024May 2025Allow1200YesNo
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
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
18611405ENSEMBLE MACHINE LEARNING SYSTEMS AND METHODSMarch 2024July 2024Allow410NoNo
18599955SYSTEMS AND METHODS FOR ALIGNING LARGE MULTIMODAL MODELS (LMMs) OR LARGE LANGUAGE MODELS (LLMs) WITH DOMAIN-SPECIFIC PRINCIPLESMarch 2024September 2024Allow610YesNo
18600520APPARATUS AND METHOD FOR DETERMINING A PROJECTED OCCURRENCEMarch 2024July 2024Allow510YesNo
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 2025Allow1210YesNo
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
18404365QUANTUM STATISTIC MACHINEJanuary 2024September 2024Allow900YesNo
18403712REASONING ENGINE SERVICESJanuary 2024February 2025Allow1411YesNo
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
18529014STANDARD ERROR FOR DEEP LEARNING MODEL OUTCOME ESTIMATORDecember 2023October 2024Allow1010NoNo
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
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
18386015TRAINING ENCODER MODEL AND/OR USING TRAINED ENCODER MODEL TO DETERMINE RESPONSIVE ACTION(S) FOR NATURAL LANGUAGE INPUTNovember 2023April 2025Allow1710YesNo
18494986DROP IMPACT PREDICTION METHOD AND SYSTEM FOR HEAVY EQUIPMENT AIRDROP BASED ON NEURAL NETWORKOctober 2023February 2024Allow410YesNo
18493524Detecting and Correcting Anomalies in Computer-Based Reasoning SystemsOctober 2023September 2024Allow1000YesNo
18379743SYSTEM, NETWORK AND METHOD FOR SELECTIVE ACTIVATION OF A COMPUTING NETWORKOctober 2023August 2024Allow1000YesNo
18483998METHODS, SYSTEMS, APPARATUSES, AND DEVICES FOR SIFRIAN-BASED NEURAL NETWORK TRAININGOctober 2023January 2024Allow310NoNo
18483294CLUSTERING, EXPLAINABILITY, AND AUTOMATED DECISIONS IN COMPUTER-BASED REASONING SYSTEMSOctober 2023June 2024Allow800YesNo
18377899DEEP LEARNING WITH JUDGMENTOctober 2023November 2024Allow1330YesNo
18479161TECHNOLOGY FOR LOWERING INSTANTANEOUS POWER CONSUMPTION OF NEURAL PROCESSING UNITOctober 2023November 2024Allow1410NoNo
18374256SYSTEM AND METHOD FOR REAL-TIME CHAT AND DECISION-MAKING IN LARGE GROUPS USING HYPER-CONNECTED HUMAN POPULATIONS OVER A COMPUTER NETWORKSeptember 2023April 2025Abandon1810NoNo
18459605NEURAL PROCESSING UNIT BEING OPERATED BASED ON PLURAL CLOCK SIGNALS HAVING MULTI-PHASESSeptember 2023February 2024Allow510NoNo
18458783QUANTUM CIRCUIT OPTIMIZATIONAugust 2023April 2024Allow800YesNo
18239152CAMERA VIEW AND SCREEN SCRAPING FOR INFORMATION EXTRACTION FROM IMAGING SCANNER CONSOLESAugust 2023June 2025Allow2230YesNo
18453837Controlled Adaptive OptimizationAugust 2023March 2025Allow1920NoNo
18264052STRUCTURED GRAPH CONVOLUTIONAL NETWORKS WITH STOCHASTIC MASKS FOR NETWORK EMBEDDINGSAugust 2023December 2023Allow400NoNo
18223982LOCAL TRAINING OF NEURAL NETWORKSJuly 2023October 2024Allow1510YesNo
18355008METHOD AND APPARATUS FOR PERFORMING CONVOLUTION OPERATION FOR OPTIMIZING ARITHMETIC INTENSITY OF DEVICEJuly 2023November 2024Allow1610YesNo
18353404TECHNOLOGY FOR LOWERING INSTANTANEOUS POWER CONSUMPTION OF NEURAL PROCESSING UNITJuly 2023November 2023Allow410NoNo
18222424SYSTEMS AND METHODS FOR ENHANCING INFERENTIAL ACCURACY OF AN ARTIFICIAL NEURAL NETWORK DURING TRAINING ON A MIXED-SIGNAL INTEGRATED CIRCUITJuly 2023September 2024Allow1410NoNo
18351440DATA-EFFICIENT REINFORCEMENT LEARNING FOR CONTINUOUS CONTROL TASKSJuly 2023March 2025Allow2020YesNo
18347408Explainable and Automated Decisions in Computer-Based Reasoning SystemsJuly 2023March 2024Allow900YesNo
18217290METROLOGY IN THE PRESENCE OF CMOS UNDER ARRAY (CUA) STRUCTURES UTILIZING MACHINE LEARNING AND PHYSICAL MODELINGJune 2023April 2025Allow2100YesNo
18215784NON-INTRUSIVE LOAD MONITORING METHOD AND DEVICE BASED ON TEMPORAL ATTENTION MECHANISMJune 2023August 2023Allow200YesNo
18340715Systems and Methods Enabling Baseline Prediction CorrectionJune 2023February 2024Allow810NoNo
18268665OPTICAL NEURAL NETWORK, DATA PROCESSING METHOD AND APPARATUS BASED ON SAME, AND STORAGE MEDIUMJune 2023February 2024Allow810NoNo
18267786HUMAN MOBILITY PREDICTION METHOD BASED ON GENERATIVE ADVERSARIAL NETWORKJune 2023May 2025Abandon2310NoNo
18324858COMPUTING IN MEMORY WITH ARTIFICIAL NEURONSMay 2023July 2025Abandon2540YesNo
18199642CLIENT INTEREST PROFILES AND EMBEDDINGS FOR A RESEARCH ORGANIZATIONMay 2023March 2024Allow1020YesNo
18198869SYSTEM, NETWORK AND METHOD FOR SELECTIVE ACTIVATION OF A COMPUTING NETWORKMay 2023September 2023Allow410YesNo
18318302TRAINING MULTI-TASK NEURAL NETWORK WHILE MINIMIZING CATASTROPHIC FORGETTINGMay 2023November 2023Allow610YesNo
18196470ARCHITECTURES, SYSTEMS AND METHODS HAVING SEGREGATED SECURE AND PUBLIC FUNCTIONSMay 2023January 2024Allow810YesNo
18311670HARDWARE-ASSISTED GRADIENT OPTIMIZATION USING STREAMED GRADIENTSMay 2023March 2025Allow2210YesNo
18141737DISPARITY MITIGATION IN MACHINE LEARNING-BASED PREDICTIONS FOR DISTINCT CLASSES OF DATA USING DERIVED INDISCERNIBILITY CONSTRAINTS DURING NEURAL NETWORK TRAININGMay 2023September 2023Allow510NoNo
18308526METHODS TO ESTIMATE EFFECTIVENESS OF A MEDICAL TREATMENTApril 2023April 2025Allow2400NoNo
18307748NEURAL NETWORK FOR PROCESSING APTAMER DATAApril 2023February 2025Allow2110YesNo
18306888NEURAL TREESApril 2023August 2024Allow1610YesNo
18295972AUTOMATIC XAI (AUTOXAI) WITH EVOLUTIONARY NAS TECHNIQUES AND MODEL DISCOVERY AND REFINEMENTApril 2023August 2024Allow1710NoNo
18130517CONDENSED MEMORY NETWORKSApril 2023April 2025Abandon2420YesNo
18030127SELF-ADAPTIVE MULTI-MODEL APPROACH IN REPRESENTATION FEATURE SPACE FOR PROPENSITY TO ACTIONApril 2023June 2024Abandon1520NoNo
18126557SPATIO-TEMPORAL CONSISTENCY EMBEDDINGS FROM MULTIPLE OBSERVED MODALITIESMarch 2023January 2025Allow2220NoNo
18186503QUANTUM STATE CLASSIFIER USING RESERVOIR COMPUTINGMarch 2023March 2025Allow2410YesNo
18184543NEURAL PROCESSING DEVICEMarch 2023December 2023Allow920NoNo
18181529Detecting and Correcting Anomalies in Computer-Based Reasoning SystemsMarch 2023July 2023Allow400YesNo
18180754TRAINING MACHINE LEARNING MODELS BY DETERMINING UPDATE RULES USING NEURAL NETWORKSMarch 2023December 2024Allow2120NoNo
18043155GENERATION METHOD, PROGRAM, INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND TRAINED MODELFebruary 2023March 2024Allow1220YesNo
18114587SELF SELECT MEMORY CELL BASED ARTIFICIAL SYNAPSEFebruary 2023March 2024Allow1310NoNo

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
146
Examiner Affirmed
99
(67.8%)
Examiner Reversed
47
(32.2%)
Reversal Percentile
49.0%
Lower than average

What This Means

With a 32.2% 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
408
Allowed After Appeal Filing
131
(32.1%)
Not Allowed After Appeal Filing
277
(67.9%)
Filing Benefit Percentile
46.6%
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 2127 - Prosecution Statistics Summary

Executive Summary

Art Unit 2127 is part of Group 2120 in Technology Center 2100. This art unit has examined 6,152 patent applications in our dataset, with an overall allowance rate of 76.3%. Applications typically reach final disposition in approximately 36 months.

Comparative Analysis

Art Unit 2127's allowance rate of 76.3% places it in the 45% 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 1.86 office actions before reaching final disposition (in the 53% percentile). The median prosecution time is 36 months (in the 17% 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.