USPTO Art Unit 2125 Prosecution Statistics

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
18905506DATA-DEPENDENT TRAINING FOR AUTOMATED KNOWLEDGE SYSTEM THAT COMPRISES A NEURAL NETWORKOctober 2024March 2025Allow610NoNo
18889371Identifying and Remediating Gaps in Artificial Intelligence use Cases Using a Generative Artificial Intelligence ModelSeptember 2024May 2025Allow810YesNo
18844254System, Method, and Computer Program Product for Saving Memory During Training of Knowledge Graph Neural NetworksSeptember 2024June 2025Allow910YesNo
18815286METHOD AND APPARATUS FOR FEW-SHOT RELATION CLASSIFICATION AND FILTERING, AND DEVICEAugust 2024April 2025Allow710YesNo
18792455Multimodal Generative AI Model Protection Using Sequential SidecarsAugust 2024March 2025Allow820NoNo
18781938MACHINE LEARNING ARCHITECTURES WITH SUB-QUADRATIC ITERATOR MODULESJuly 2024February 2025Allow610YesNo
18776350INTEGER GATE LOGIC ARTIFICIAL NEURAL NETWORKJuly 2024November 2024Allow410YesNo
18769001AA2CDS:Pre-trained Amino Acid-to-Codon Sequence Mapping Enabling Efficient Expression and Yield OptimizationJuly 2024April 2025Allow920YesNo
18754575Probabilistically Tunable Conversational Method and SystemJune 2024April 2025Allow1010NoNo
18754513Exploratory Recommender Method and SystemJune 2024April 2025Allow920NoNo
18754550Vector-Based Search Method and SystemJune 2024March 2025Allow910NoNo
18742404DATA-DEPENDENT NODE-TO-NODE KNOWLEDGE SHARING BY REGULARIZATION IN DEEP LEARNINGJune 2024August 2024Allow210NoNo
18732648METHOD, DEVICE, AND MEDIUM FOR PREDICTING FLUE DUST CONCENTRATIONJune 2024April 2025Allow1110NoNo
18653858VALIDATING VECTOR CONSTRAINTS OF OUTPUTS GENERATED BY MACHINE LEARNING MODELSMay 2024November 2024Allow711YesNo
18418201SYSTEMS AND METHODS FOR RESPONDING TO PREDICTED EVENTS IN TIME-SERIES DATA USING SYNTHETIC PROFILES CREATED BY ARTIFICIAL INTELLIGENCE MODELS TRAINED ON NON-HOMOGENEOUS TIME-SERIES DATAJanuary 2024August 2024Allow610YesNo
18408716Schedule-Aware Tensor Distribution ModuleJanuary 2024January 2025Allow1210YesNo
18406829SYSTEMS AND METHODS FOR COHORT-BASED PREDICTIONS IN CLUSTERED TIME-SERIES DATA IN ORDER TO DETECT SIGNIFICANT RATE-OF-CHANGE EVENTSJanuary 2024February 2025Allow1310YesNo
18395172GENERATING VECTOR REPRESENTATIONS OF DOCUMENTSDecember 2023March 2025Allow1510YesNo
18523482Method and System for Assessing Drug Efficacy Using Multiple Graph Kernel FusionNovember 2023September 2024Allow1010NoNo
18522075Systems and Methods of Sparsity ExploitingNovember 2023June 2025Abandon1910NoNo
18508519NEUROMORPHIC METHOD AND APPARATUS WITH MULTI-BIT NEUROMORPHIC OPERATIONNovember 2023March 2025Allow1610NoNo
18501455TECHNOLOGY FOR LOWERING PEAK POWER OF NEURAL PROCESSING UNIT USING VARIABLE FREQUENCYNovember 2023August 2024Allow920NoNo
18381022QUANTUM OPERATING SYSTEM UTILIZING MULTIPLE COMPILERSOctober 2023June 2024Allow810NoNo
18478763SPLICING SITE CLASSIFICATION USING NEURAL NETWORKSSeptember 2023April 2024Allow710YesNo
18455026DEEP NEURAL NETWORK ARCHITECTURE USING PIECEWISE LINEAR APPROXIMATIONAugust 2023September 2024Allow1300YesNo
18278723QUANTUM CONVOLUTION OPERATORAugust 2023April 2024Allow810NoNo
18354569SYSTEMS AND METHODS FOR AGGREGATING TIME-SERIES DATA STREAMS BASED ON POTENTIAL STATE CHARACTERISTICS FOLLOWING AGGREGATIONJuly 2023August 2024Allow1320YesNo
18353698DATA-DEPENDENT NODE-TO-NODE KNOWLEDGE SHARING BY REGULARIZATION IN DEEP LEARNINGJuly 2023March 2024Allow810NoNo
18220110SYSTEM AND METHOD FOR SAMPLE EVALUATION TO MIMIC TARGET PROPERTIESJuly 2023November 2023Allow410NoNo
18219555DETERMINISTIC TRAINING OF MACHINE LEARNING MODELSJuly 2023January 2024Allow710NoNo
18327850SYSTEMS AND METHODS FOR RESPONDING TO PREDICTED EVENTS IN TIME-SERIES DATA USING SYNTHETIC PROFILES CREATED BY ARTIFICIAL INTELLIGENCE MODELS TRAINED ON NON-HOMOGENEOUS TIME-SERIES DATAJune 2023February 2024Allow810NoNo
18325043Multi-mode Array Structure and Chip for In-memory ComputingMay 2023December 2023Allow710NoNo
18310405Method and Apparatus for Amplitude Estimation of Quantum Circuit, Storage Medium, and Electronic ApparatusMay 2023December 2023Allow710NoNo
18141296SYSTEMS AND METHODS FOR DATA STRUCTURE GENERATION BASED ON OUTLIER CLUSTERINGApril 2023September 2023Allow410YesNo
18140633ARTIFICIAL INTELLIGENCE CHARACTER MODELS WITH MODIFIABLE BEHAVIORAL CHARACTERISTICSApril 2023May 2024Allow1330YesNo
18301660METHODS FOR DEVELOPMENT OF A MACHINE LEARNING SYSTEM THROUGH LAYERED GRADIENT BOOSTINGApril 2023August 2023Allow400NoNo
18299717NEURAL NETWORK HARDWARE ACCELERATOR DATA PARALLELISMApril 2023May 2024Allow1310NoNo
18130257APPARATUS AND A METHOD FOR DIGITAL ASSET MAP GENERATIONApril 2023November 2024Allow2030YesNo
18028566NEURAL NETWORK RETRAINING METHOD BASED ON AGING SENSING OF MEMRISTORSMarch 2023June 2024Allow1510YesNo
18124045CROP MONITORING SYSTEM AND METHOD THEREOFMarch 2023August 2023Allow510NoNo
18123097SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR INTERFACING SOFTWARE ENGINESMarch 2023January 2024Allow1020YesNo
18122641UNCERTAINTY QUANTIFICATION FOR MACHINE LEARNING CLASSIFICATION MODELLINGMarch 2023December 2024Allow2140YesNo
18120137TWO-DIMENSIONAL ARRAY-BASED NEUROMORPHIC PROCESSOR AND IMPLEMENTING METHODMarch 2023October 2023Allow810NoNo
18117986AUTOMATED FACTOR GENERATION FOR DECISION ENGINESMarch 2023December 2023Allow1020YesNo
18174498SYSTEMS AND METHODS FOR COHORT-BASED PREDICTIONS IN CLUSTERED TIME-SERIES DATA IN ORDER TO DETECT SIGNIFICANT RATE-OF-CHANGE EVENTSFebruary 2023November 2023Allow810YesNo
18020014CONSTRUCTING AND PROGRAMMING DRIVER GRAPHS IN QUANTUM HARDWARE FOR NON-STOQUASTIC QUANTUM OPTIMIZATION ANNEALING PROCESSESFebruary 2023April 2024Allow1420YesNo
18099904SELECTION OF MACHINE LEARNING ALGORITHMSJanuary 2023August 2024Allow1820NoNo
18098898SYSTEM AND METHOD FOR SAMPLE EVALUATION TO MIMIC TARGET PROPERTIESJanuary 2023June 2023Allow510NoNo
18152102METHOD AND APPARATUS FOR INFORMATION REPRESENTATION, EXCHANGE, VALIDATION, AND UTILIZATION THROUGH DIGITAL CONSOLIDATIONJanuary 2023February 2024Allow1311YesNo
18065441SYSTEMS AND METHODS FOR RESPONDING TO PREDICTED EVENTS IN TIME-SERIES DATA USING SYNTHETIC PROFILES CREATED BY ARTIFICIAL INTELLIGENCE MODELS TRAINED ON NON-HOMOGENOUS TIME SERIES-DATADecember 2022May 2023Allow510YesNo
18009341ENHANCED DYNAMIC RANDOM ACCESS MEMORY (EDRAM)-BASED COMPUTING-IN-MEMORY (CIM) CONVOLUTIONAL NEURAL NETWORK (CNN) ACCELERATORDecember 2022August 2023Allow900NoNo
18061100DAG MODIFICATION MODULE, PROCESSING DEVICE INCLUDING SAME, AND DAG MODIFICATION METHOD OF PROCESSING DEVICEDecember 2022February 2025Abandon2760YesNo
17993463SYSTEM AND METHOD OF DETERMINING AND EXECUTING DEEP TENSOR COLUMNS IN NEURAL NETWORKSNovember 2022February 2024Allow1510YesNo
17992814OPTIMIZATION METHOD AND APPARATUS FOR COMPILING COMPUTATION GRAPHNovember 2022December 2024Abandon3520YesYes
17992822MEMORY OPTIMIZATION METHOD AND APPARATUS FOR NEURAL NETWORK COMPILATIONNovember 2022December 2024Abandon3520YesYes
17985257NEURAL PROCESSING UNIT FOR BINARIZED NEURAL NETWORKNovember 2022August 2023Allow920NoNo
18051510SYSTEM, SERVER AND METHOD FOR PREDICTING ADVERSE EVENTSOctober 2022April 2024Allow1811NoNo
18051217PRIVACY-PRESERVING LABELING AND CLASSIFICATION OF EMAILOctober 2022February 2025Allow2740YesNo
18050694SYSTEMS AND METHODS FOR SYNTHETIC DATABASE QUERY GENERATIONOctober 2022May 2025Allow3030YesNo
17972466USING EMBEDDING FUNCTIONS WITH A DEEP NETWORKOctober 2022December 2023Allow1310YesNo
17959827DATA COLLECTION SYSTEM, DATA COLLECTION DEVICE, DATA ACQUISITION DEVICE, AND DATA COLLECTION METHODOctober 2022November 2023Abandon1320YesNo
17958701SYSTEM AND METHOD FOR IMPROVING USER ENGAGEMENT BASED ON USER SESSION ANALYSISOctober 2022October 2024Allow2530YesNo
17937060RECURRENT NEURAL NETWORK AND TRAINING PROCESS FOR SAMESeptember 2022September 2023Allow1210YesNo
17910443NEURAL NETWORK MODEL, METHOD, ELECTRONIC DEVICE, AND READABLE MEDIUMSeptember 2022July 2023Allow1010NoNo
17909003METHOD FOR OPTIMALLY SELECTING FLOOD-CONTROL OPERATION SCHEME BASED ON TEMPORAL CONVOLUTIONAL NETWORKSeptember 2022February 2024Abandon1820YesNo
17892542SYSTEMS AND METHODS FOR CORRELATING CUTANEOUS ACTIVITY WITH HUMAN PERFORMANCEAugust 2022February 2024Allow1850YesNo
17888547METHOD FOR CAUSAL INFERENCE BASED ON COLLECTIVE MOVEMENTS OF ACTIVE GROUPAugust 2022October 2023Abandon1420NoNo
17889186SYSTEMS AND METHODS FOR GENERATING A CHATBOTAugust 2022March 2023Allow710YesNo
17800176SPIKING NEURAL NETWORK-BASED DATA PROCESSING METHOD, COMPUTING CORE CIRCUIT, AND CHIPAugust 2022November 2023Allow1520NoNo
17760398DATA-DEPENDENT NODE-TO-NODE KNOWLEDGE SHARING BY REGULARIZATION IN DEEP LEARNINGAugust 2022April 2023Allow810YesNo
17875223ELECTRICAL NETWORKS USING ANALYTIC LOSS GRADIENTS FOR DESIGN, ANALYSIS AND MACHINE LEARNINGJuly 2022November 2023Allow1620YesNo
17874876TOOL FOR FACILITATING EFFICIENCY IN MACHINE LEARNINGJuly 2022January 2024Allow1810NoNo
17793732NEURAL NETWORK ACCELERATING METHOD AND DEVICE WITH EFFICIENT USAGE OF TOTAL VIDEO MEMORY SIZE OF GPUSJuly 2022March 2023Allow800NoNo
17811648SYSTEMS AND METHODS FOR DEVELOPING BRAIN COMPUTER INTERFACEJuly 2022February 2023Allow710NoNo
17859721SYSTEMS AND METHODS FOR PIPELINED HETEROGENEOUS DATAFLOW FOR ARTIFICIAL INTELLIGENCE ACCELERATORSJuly 2022June 2025Allow3500NoNo
17852521Method and System for Assessing Drug Efficacy Using Multiple Graph Kernel FusionJune 2022August 2023Allow1420YesNo
17849292SYSTEMS AND METHODS TO IDENTIFY DOCUMENT TRANSITIONS BETWEEN ADJACENT DOCUMENTS WITHIN DOCUMENT BUNDLESJune 2022August 2023Allow1410NoNo
17848316Methods and Apparatus for Accessing External Memory in a Neural Network Processing SystemJune 2022February 2024Allow1940YesNo
17786564Brain-inspired cognitive learning methodJune 2022December 2023Allow1810YesNo
17841252MACHINE LEARNING MODELS FOR AUTOMATED SUSTAINABILITY DATA SOURCE INGESTION AND PROCESSINGJune 2022August 2023Abandon1410NoNo
17838756SYSTEM TO MONITOR AND PROCESS WATER-RELATED DATAJune 2022March 2024Allow2120YesNo
17806143LOW POWER HARDWARE ARCHITECTURE FOR HANDLING ACCUMULATION OVERFLOWS IN A CONVOLUTION OPERATIONJune 2022August 2024Allow2660YesNo
17827130Systems and Methods for Machine-Learned Models Having Convolution and AttentionMay 2022April 2023Allow1120YesNo
17825774Classical and Quantum Algorithms for Orthogonal Neural NetworksMay 2022August 2023Allow1410NoNo
17738436SYSTEM, METHOD, AND COMPUTER DEVICE FOR TRANSISTOR-BASED NEURAL NETWORKSMay 2022December 2022Allow710YesNo
17728590RISK ASSESSMENT WITH AUTOMATED ESCALATION OR APPROVALApril 2022August 2022Allow400NoNo
17726563METHOD FOR ADAPTING DEEP LEARNING FRAMEWORK TO HARDWARE DEVICE BASED ON UNIFIED BACKEND ENGINEApril 2022June 2023Allow1420YesNo
17767247QUANTUM COMPUTING BASED HYBRID SOLUTION STRATEGIES FOR LARGE-SCALE DISCRETE-CONTINUOUS OPTIMIZATION PROBLEMSApril 2022May 2023Allow1310YesNo
17706734METHOD FOR EXECUTION OF COMPUTATIONAL GRAPH IN NEURAL NETWORK MODEL AND APPARATUS THEREOFMarch 2022July 2023Allow1520NoNo
17705129NEURAL NETWORK LEARNING FOR THE PREVENTION OF FALSE POSITIVE AUTHORIZATIONSMarch 2022June 2024Allow2710YesNo
17656625NEURAL PROCESSING DEVICE AND METHOD FOR PRUNING THEREOFMarch 2022December 2023Allow2140YesNo
17655838SYSTEMS AND METHODS FOR REDUCING PROBLEMATIC CORRELATIONS BETWEEN FEATURES FROM MACHINE LEARNING MODEL DATAMarch 2022June 2025Allow3810YesNo
17694738METHOD AND SYSTEM FOR PROCESSING MULTI-REQUEST APPLICATIONSMarch 2022June 2024Abandon2710NoNo
17642266NEURAL NETWORK MAPPING METHOD AND APPARATUSMarch 2022July 2023Allow1720YesNo
17689185NEURAL BREGMAN DIVERGENCES FOR DISTANCE LEARNINGMarch 2022April 2023Allow1430YesNo
17676685OMNICHANNEL INTELLIGENT NEGOTIATION ASSISTANTFebruary 2022October 2022Allow820YesNo
17674117NOISE CONTRASTIVE ESTIMATION FOR COLLABORATIVE FILTERINGFebruary 2022March 2025Abandon3730YesYes
17633186SEPARATION OF STATES OF MECHANICAL PRESSES BY ANALYZING TRAINED PATTERNS IN A NEURAL NETWORKFebruary 2022July 2024Allow2950NoNo
17589887USING MACHINE LEARNING AND HISTORICAL EVENT DATA TO LEVERAGE PREDICTED ODDS FOR FUTURE EVENTSJanuary 2022June 2022Allow510YesNo
17582663Computer System and Method for Detecting Anomalies in Multivariate DataJanuary 2022September 2024Allow3250NoNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for art-unit 2125.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
93
Examiner Affirmed
65
(69.9%)
Examiner Reversed
28
(30.1%)
Reversal Percentile
39.0%
Lower than average

What This Means

With a 30.1% 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
248
Allowed After Appeal Filing
89
(35.9%)
Not Allowed After Appeal Filing
159
(64.1%)
Filing Benefit Percentile
65.8%
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 2125 - Prosecution Statistics Summary

Executive Summary

Art Unit 2125 is part of Group 2120 in Technology Center 2100. This art unit has examined 5,731 patent applications in our dataset, with an overall allowance rate of 79.4%. Applications typically reach final disposition in approximately 34 months.

Comparative Analysis

Art Unit 2125's allowance rate of 79.4% places it in the 56% percentile among all USPTO art units. This art unit has an above-average allowance rate compared to other art units.

Prosecution Patterns

Applications in Art Unit 2125 receive an average of 1.71 office actions before reaching final disposition (in the 40% percentile). The median prosecution time is 34 months (in the 25% percentile).

Strategic Considerations

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

  • The art unit's allowance rate suggests a more favorable examination environment compared to the USPTO average.
  • With fewer 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.