USPTO Art Unit 2123 Prosecution Statistics

Art Unit Information

Art Unit: 2123
Group: 2120
Tech Center: 2100
Total Cases: 7,013
Last Active: January 2025

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
19040977TRAINING NODES OF A NEURAL NETWORK TO BE DECISIVEJanuary 2025June 2025Allow410NoNo
18790709TRAINING AN AUTOENCODER WITH A CLASSIFIERJuly 2024December 2024Allow400NoNo
18670279SYSTEM, NETWORK AND METHOD FOR SELECTIVE ACTIVATION OF A COMPUTING NETWORKMay 2024August 2024Allow200NoNo
18656636PROJECTING DATA TRENDS USING CUSTOMIZED MODELINGMay 2024July 2024Allow300NoNo
18637794METHODS AND SYSTEMS FOR ENHANCED SENSOR ASSESSMENTS FOR PREDICTING SECONDARY ENDPOINTSApril 2024May 2025Allow1320YesNo
18615984APPARATUS AND METHOD FOR LOCATION MONITORINGMarch 2024September 2024Allow610YesNo
18444906CUTOFF VALUE OPTIMIZATION FOR BIAS MITIGATING MACHINE LEARNING TRAINING SYSTEM WITH MULTI-CLASS TARGETFebruary 2024May 2024Allow300NoNo
18530798BAYESIAN NEURAL NETWORK POINT ESTIMATORDecember 2023December 2024Allow1220YesNo
18385143SYSTEMS AND METHODS OF GENERATIVE MACHINE-LEARNING GUIDED BY MODAL CLASSIFICATIONOctober 2023March 2024Allow510YesNo
18491817CROSS-MEDIA CORRESPONDING KNOWLEDGE GENERATION METHOD AND APPARATUSOctober 2023September 2024Allow1120NoNo
18381054APPARATUS AND METHOD FOR DATA INGESTION FOR USER SPECIFIC OUTPUTS OF ONE OR MORE MACHINE LEARNING MODELSOctober 2023June 2024Allow810YesNo
18471257GUIDED DIALOGUE USING LANGUAGE GENERATION NEURAL NETWORKS AND SEARCHSeptember 2023June 2025Allow2130YesNo
18468011ADDING A SPLIT DETECTOR COMPOUND NODE TO A DEEP NEURAL NETWORKSeptember 2023April 2024Allow710NoNo
18454907PROJECTING DATA TRENDS USING CUSTOMIZED MODELINGAugust 2023February 2024Allow610YesNo
18362488TECHNIQUES FOR DISEASE PREDICTION USING MACHINE LEARNING-IMPROVED SIMULATIONS AND FOR GENERATING DISPLAY ELEMENTS USING SIMULATION RESULTSJuly 2023December 2024Allow1730YesNo
18357680SCHEMA-BASED MACHINE LEARNING MODEL MONITORINGJuly 2023May 2025Allow2240YesNo
18336906NEURAL PROCESSOR WITH ACTIVATION COMPRESSIONJune 2023September 2024Allow1510NoNo
18267091AN ONLINE NEURON CLASSIFICATION METHOD BASED ON NEUROMORPHIC COMPUTINGJune 2023June 2024Allow1200NoNo
18208455BIAS MITIGATING MACHINE LEARNING TRAINING SYSTEM WITH MULTI-CLASS TARGETJune 2023October 2023Allow400NoNo
18196855LOCATING A DECISION BOUNDARY FOR COMPLEX CLASSIFIERMay 2023December 2024Allow2020NoYes
18143802ARTIFICIAL NEURAL NETWORK TRAINED TO REFLECT HUMAN SUBJECTIVE RESPONSESMay 2023June 2024Allow1410NoNo
18309470AUTOMATIC CLASSIFICATION OF DATA SENSITIVITY THROUGH MACHINE LEARNINGApril 2023July 2023Allow300NoNo
18141360COMPUTER ASSISTED PROGRAMMING USING AUTOMATED NEXT NODE RECOMMENDER FOR COMPLEX DIRECTED ACYCLIC GRAPHSApril 2023February 2024Allow1021YesNo
18140366UPDATE OF LOCAL FEATURES MODEL BASED ON CORRECTION TO ROBOT ACTIONApril 2023March 2024Allow1100NoNo
18032379AUTOMATICALLY GENERATING TRAINING DATA OF A TIME SERIES OF SENSOR DATAApril 2023April 2025Allow2440YesNo
18301401SYSTEM AND METHOD FOR RANDOM TAXONOMICAL MUTATIONApril 2023April 2025Abandon2430YesNo
18300007LEARNING WITH MOMENT ESTIMATION USING DIFFERENT TIME CONSTANTSApril 2023April 2024Allow1210NoNo
18031009Identification method of urban functional areas based on mixing degree of functions and integrated learningApril 2023May 2024Allow1320YesNo
18130335ATTENTION NEURAL NETWORKS WITH PARALLEL ATTENTION AND FEED-FORWARD LAYERSApril 2023November 2023Allow810YesNo
18191737NEURAL PROCESSING DEVICE AND METHOD FOR CONVERTING DATA THEREOFMarch 2023September 2024Allow1830NoNo
18124251METHOD AND SYSTEM FOR EVENT-TRIGGERED DISTRIBUTED REINFORCEMENT LEARNING FOR UNIT COMMITMENT OPTIMIZATION AND DISPATCHMarch 2023May 2024Abandon1420YesNo
18123158SYSTEMS AND METHODS FOR GENERATING A PROBATIONARY AUTOMATED-DECISIONING WORKFLOW IN A MACHINE LEARNING-TASK ORIENTED DIGITAL THREAT OR DIGITAL ABUSE MITIGATION SYSTEMMarch 2023November 2023Allow810NoNo
18185479MULTI-MODAL MACHINE LEARNING MEDICAL ASSESSMENTMarch 2023January 2024Allow1020YesNo
18122633DEEP LEARNING BASED CONTEXT EMBEDDING APPROACH FOR DETECTING DATA ENTRY ERRORSMarch 2023December 2024Allow2230YesNo
18184767MULTI-GRANULARITY PERCEPTION INTEGRATED LEARNING METHOD, DEVICE, COMPUTER EQUIPMENT AND MEDIUMMarch 2023June 2024Abandon1520NoNo
18105424DIAGNOSING AND TROUBLESHOOTING MAINTENANCE REPAIR REQUESTS USING AN ARTIFICIAL INTELLIGENCE-DRIVEN CHATBOTFebruary 2023June 2025Abandon2830YesNo
18163527METHOD OF COMPRESSING NEURAL NETWORK MODEL AND ELECTRONIC APPARATUS FOR PERFORMING THE SAMEFebruary 2023May 2023Allow400NoNo
18104707Method Of Selection And Optimization Of Auto-Encoder ModelFebruary 2023December 2024Abandon2340NoNo
18096854SYSTEM AND METHOD FOR EVALUATING THE PERFORMANCE AND USAGE OF A QUESTION ANSWERING COGNITIVE COMPUTING TOOLJanuary 2023May 2024Allow1610NoNo
18092635Method Of Training Object Prediction Models Using Ambiguous LabelsJanuary 2023June 2024Allow1730YesNo
18148225MACHINE LEARNING-BASED METHODS AND SYSTEMS FOR MODELING USER-SPECIFIC, ACTIVITY SPECIFIC ENGAGEMENT PREDICTING SCORESDecember 2022February 2024Allow1310NoNo
18147313DEEP NEURAL NETWORK WITH COMPOUND NODE FUNCTIONING AS A DETECTOR AND REJECTERDecember 2022June 2023Allow500NoNo
18068636SYSTEM FOR ENGAGEMENT OF HUMAN AGENTS FOR DECISION-MAKING IN A DYNAMICALLY CHANGING ENVIRONMENTDecember 2022November 2023Allow1120NoNo
18077022METHOD AND SYSTEM FOR ON-THE-FLY OBJECT LABELING VIA CROSS MODALITY VALIDATION IN AUTONOMOUS DRIVING VEHICLESDecember 2022March 2024Allow1530YesNo
18058937AUTOMATED KNOWLEDGE BASENovember 2022January 2024Allow1410NoNo
17992958GRAPH NEURAL NETWORK (GNN)-BASED PREDICTION SYSTEM FOR TOTAL ORGANIC CARBON (TOC) IN SHALENovember 2022November 2023Allow1220YesNo
18055031BIAS REDUCTION IN MACHINE LEARNING MODEL TRAINING AND INFERENCENovember 2022January 2024Allow1420YesNo
17982474COMPUTATION OF NEURAL NETWORK NODE BY NEURAL NETWORK INFERENCE CIRCUITNovember 2022August 2024Allow2110NoNo
18051906BIAS MITIGATING MACHINE LEARNING TRAINING SYSTEMNovember 2022June 2023Allow800NoNo
17977964PRIOR INJECTIONS FOR SEMI-LABELED SAMPLESOctober 2022February 2024Allow1510NoNo
18051308MACHINE LEARNING (ML) MODELING BY DNA COMPUTINGOctober 2022January 2024Allow1400NoNo
18049286CONTEXTUAL BANDITS-BASED ECOSYSTEM RECOMMENDER SYSTEM FOR SYNCHRONIZED PERSONALIZATIONOctober 2022June 2023Allow810YesNo
17919898System, Method, and Computer Program Product for Analyzing Multivariate Time Series Using a Convolutional Fourier NetworkOctober 2022October 2023Allow1220YesNo
17968077APPARATUS AND METHOD FOR PREDICTING DOWNHOLE CONDITIONSOctober 2022September 2024Allow2360YesNo
17967725Counterexample-Guided Update of a Motion PlannerOctober 2022December 2022Allow200NoNo
17967014CONSTRUCTION METHOD OF HUMAN-OBJECT-SPACE INTERACTION MODEL BASED ON KNOWLEDGE GRAPHOctober 2022September 2023Allow1110NoNo
17959939SYSTEM AND METHODS FOR PREDICTION COMMUNICATION PERFORMANCE IN NETWORKED SYSTEMSOctober 2022July 2024Allow2100NoNo
17959840DATA COLLECTION SYSTEM, DATA COLLECTION METHOD. AND DATA COLLECTION DEVICEOctober 2022December 2023Abandon1420YesNo
17959355SYSTEM AND METHOD FOR FLEET DRIVER BIOMETRIC TRACKINGOctober 2022October 2024Allow2430YesNo
17959439APPARATUS FOR BIAS ELIMINATED PERFORMANCE DETERMINATIONOctober 2022March 2024Allow1730YesNo
17954109DATA FLOW METHOD AND APPARATUS FOR NEURAL NETWORK COMPUTATION BY DETERMINING INPUT VARIABLES AND OUTPUT VARIABLES OF NODES OF A COMPUTATIONAL GRAPH OF A NEURAL NETWORKSeptember 2022February 2024Allow1620NoNo
17950028Graph Optimization Method and Apparatus for Neural Network ComputationSeptember 2022January 2024Allow1620NoYes
17909032METHOD FOR OPTIMIZING RESERVOIR OPERATION FOR MULTIPLE OBJECTIVES BASED ON GRAPH CONVOLUTIONAL NEURAL NETWORK AND NSGA-II ALGORITHMSeptember 2022June 2023Allow900NoNo
17896927DATA MANAGEMENT SUGGESTIONS FROM KNOWLEDGE GRAPH ACTIONSAugust 2022November 2023Allow1520YesNo
17895762Entropy-Based Techniques for Creation of Well-Balanced Computer Based Reasoning SystemsAugust 2022January 2024Allow1710NoNo
17821903NEURAL PROCESSING DEVICEAugust 2022May 2023Allow810NoNo
17904872MEASURING LOCAL CD UNIFORMITY USING SCATTEROMETRY AND MACHINE LEARNINGAugust 2022August 2024Allow2330YesYes
17888920PREDICTIVE LEARNER RECOMMENDATION PLATFORMAugust 2022January 2024Allow1730NoNo
17760023NETWORK ACCURACY QUANTIFICATION METHOD AND SYSTEM, DEVICE, ELECTRONIC DEVICE AND READABLE MEDIUMAugust 2022August 2023Allow1220NoNo
17815851GENERATING SYNTHETIC DATA EXAMPLES AS INTERPOLATION OF TWO DATA EXAMPLES THAT IS LINEAR IN THE SPACE OF RELATIVE SCORESJuly 2022February 2023Allow710NoNo
17810778IMITATION LEARNING FOR MACHINE LEARNING SYSTEMS WITH SYNTHETIC DATA GENERATORSJuly 2022November 2022Allow400NoNo
17853143APPARATUS AND METHOD FOR GENERATING A COMPILED ARTIFICIAL INTELLIGENCE (AI) MODELJune 2022February 2024Allow1950YesNo
17848239Real Time Detection of Cyber Threats Using Self-Referential Entity DataJune 2022January 2024Abandon1910NoNo
17788050SEMICONDUCTOR DEVICEJune 2022May 2025Allow3500NoNo
17840853EDUCATION LEARNING ENVIRONMENT AND METHODS FOR USING SAMEJune 2022May 2024Allow2340YesNo
17838722NEURAL CAPACITANCE: NEURAL NETWORK SELECTION VIA EDGE DYNAMICSJune 2022May 2025Allow3500NoNo
17838240COMPILING ASYMMETRICALLY-QUANTIZED NEURAL NETWORK MODELS FOR DEEP LEARNING ACCELERATIONJune 2022June 2025Allow3600NoNo
17837444BIAS MITIGATING MACHINE LEARNING TRAINING SYSTEMJune 2022August 2022Allow200NoNo
17838148SYSTEMS AND METHODS FOR CLINICAL DECISION SUPPORT FOR LIPID-LOWERING THERAPIES FOR CARDIOVASCULAR DISEASEJune 2022August 2023Allow1411YesNo
17837233SEMI-SUPERVISED METHOD AND APPARATUS FOR PUBLIC OPINION TEXT ANALYSISJune 2022March 2024Abandon2220YesNo
17781326Method, Apparatus, and Device for Updating Hard Disk Prediction Model, and MediumMay 2022July 2024Abandon2620NoNo
17780479Method and Device for Model Compression of Neural NetworkMay 2022November 2023Allow1710NoNo
17752950METHOD OF TRAINING A NEURAL NETWORK TO REFLECT EMOTIONAL PERCEPTION AND RELATED SYSTEM AND METHOD FOR CATEGORIZING AND FINDING ASSOCIATED CONTENTMay 2022December 2022Allow710NoNo
17664898ASYNCHRONOUS AGENTS WITH LEARNING COACHES AND STRUCTURALLY MODIFYING DEEP NEURAL NETWORKS WITHOUT PERFORMANCE DEGRADATIONMay 2022September 2022Allow400NoNo
17741614CLOUD BASED MACHINE LEARNINGMay 2022September 2024Allow2920NoNo
17740344METHOD AND ALGORITHM OF RECURSIVE DEEP LEARNING QUANTIZATION FOR WEIGHT BIT REDUCTIONMay 2022May 2023Allow1310YesNo
17715214RECOMMENDATION SYSTEM WITH IMPLICIT FEEDBACKApril 2022August 2022Allow510YesNo
17714454METHOD OF NEURAL NETWORK MODEL COMPUTATION-ORIENTED INTERMEDIATE REPRESENTATION BY CONSTRUCTING PHYSICAL COMPUTATION GRAPH, INFERRING INFORMATION OF INPUT AND OUTPUT TENSOR EDGES OF EACH NODE THEREIN, PERFORMING MEMORY OPTIMIZATION ON TENSOR EDGES, AND OPTIMIZING PHYSICAL COMPUTATION GRAPHApril 2022September 2023Allow1710NoNo
17707309SPARSITY HANDLING FOR MACHINE LEARNING MODEL FORECASTINGMarch 2022June 2022Allow300NoNo
17692491STDP WITH SYNAPTIC FATIGUE FOR LEARNING OF SPIKE-TIME-CODED PATTERNS IN THE PRESENCE OF PARALLEL RATE-CODINGMarch 2022January 2023Allow1000NoNo
17653006ASYNCHRONOUS AGENTS WITH LEARNING COACHES AND STRUCTURALLY MODIFYING DEEP NEURAL NETWORKS WITHOUT PERFORMANCE DEGRADATIONMarch 2022June 2022Allow300NoNo
17675617ANALOG SWITCHED-CAPACITOR NEURAL NETWORKFebruary 2022March 2024Allow2510NoNo
17673042COMPUTATION APPARATUS AND COMPRESSION METHODFebruary 2022April 2025Abandon3821YesNo
17672163MODIFYING MACHINE LEARNING MODELS TO IMPROVE LOCALITYFebruary 2022October 2023Allow2000NoNo
17589716SYSTEMS, METHODS, AND MEDIA FOR DECODING OBSERVED SPIKE COUNTS FOR SPIKING CELLSJanuary 2022April 2022Allow200NoNo
17572899INTEGRATED ARTIFICIAL NEURON DEVICEJanuary 2022December 2023Allow2310NoNo
17570673CIRCUIT ARCHITECTURE WITH BIASED RANDOMIZATIONJanuary 2022December 2023Allow2310NoNo
17566972Pulse-Width Modulated MultiplierDecember 2021March 2024Abandon2610NoNo
17557298BIAS MITIGATING MACHINE LEARNING TRAINING SYSTEMDecember 2021March 2022Allow300NoNo
17555535METHOD AND PLATFORM FOR PRE-TRAINED LANGUAGE MODEL AUTOMATIC COMPRESSION BASED ON MULTILEVEL KNOWLEDGE DISTILLATIONDecember 2021June 2022Allow600NoNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for art-unit 2123.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
196
Examiner Affirmed
141
(71.9%)
Examiner Reversed
55
(28.1%)
Reversal Percentile
27.1%
Lower than average

What This Means

With a 28.1% 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.

Strategic Value of Filing an Appeal

Total Appeal Filings
579
Allowed After Appeal Filing
168
(29.0%)
Not Allowed After Appeal Filing
411
(71.0%)
Filing Benefit Percentile
28.9%
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, 29.0% 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 2123 - Prosecution Statistics Summary

Executive Summary

Art Unit 2123 is part of Group 2120 in Technology Center 2100. This art unit has examined 7,013 patent applications in our dataset, with an overall allowance rate of 67.7%. Applications typically reach final disposition in approximately 42 months.

Comparative Analysis

Art Unit 2123's allowance rate of 67.7% places it in the 24% percentile among all USPTO art units. This art unit has a significantly lower allowance rate than most art units at the USPTO.

Prosecution Patterns

Applications in Art Unit 2123 receive an average of 2.11 office actions before reaching final disposition (in the 72% percentile). The median prosecution time is 42 months (in the 4% 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.