USPTO Art Unit 2182 Prosecution Statistics

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
19277258Quantization and Low Precision AI ProcessorJuly 2025January 2026Allow610YesNo
19182479DEVICE AND METHOD FOR OPERATION OF DATAApril 2025September 2025Allow510NoNo
19176288SYSTEM HAVING MULTIPLE BUSES AND METHOD FOR CONTROLLING PROCESSING CORE IN THE SYSTEMApril 2025August 2025Allow410NoNo
19113919DIGITAL FILTER CIRCUIT, DIGITAL FILTERING METHOD, AND STORAGE MEDIUM STORING DIGITAL FILTERING PROGRAMMarch 2025December 2025Allow910NoNo
19057696DEVICE AND METHOD OF COMPUTING AN OUTPUT VALUE OF A MATHEMATICAL FUNCTION, AND METHOD OF DESIGNING AN INTEGRATED CIRCUIT FOR THE SAMEFebruary 2025September 2025Allow711YesNo
19051126ADAPTIVE MODEL UPDATING ALGORITHM FOR PROBABILISTIC ANALYSIS OF COMPLEX ENGINEERING STRUCTURESFebruary 2025September 2025Allow710NoNo
19031488METHOD AND APPARATUS FOR ARRANGING SPARSE SENSOR EMBEDDED WITH PHYSICAL INFORMATION, AND DEVICEJanuary 2025July 2025Allow610NoNo
19028818MATRIX DECOMPOSITION STRUCTURE OF TWO-CHANNEL QUADRATURE MIRROR FILTER BANK AND COEFFICIENT DESIGN METHOD THEREOFJanuary 2025June 2025Allow510YesNo
19005765CALCULATOR CAPABLE OF OUTPUTTING RESULTS BASED ON HANDWRITTEN FORMULASDecember 2024April 2025Allow410NoNo
19002782RVV1.0 Extension-Based FFT Butterfly Operation Method for Complex SequencesDecember 2024February 2026Abandon1420NoNo
18991935DECODER-ONLY TRANSFORMER MODEL FOR TIME SERIES DATADecember 2024May 2025Allow400NoNo
18991130SYSTEM AND METHOD FOR PREPROCESSING AND CONDITIONING COSMIC RAY DATA FOR RANDOMNESS GENERATIONDecember 2024March 2025Allow300NoNo
18969422TECHNIQUES FOR GENERATING SYNTHETIC DATADecember 2024May 2025Allow510NoNo
18967676Method for Implementing Formal Verification of Optimized Multiplier via SCA-SAT SynergyDecember 2024March 2025Allow300NoNo
18965917CONSTRAINED SOLUTION WITH PREFERENCES TO SOLVE COMBINATORIAL PROBLEMS IN NEURAL NETWORKSDecember 2024June 2025Allow610NoNo
18963209CONVOLUTION OPERATION METHOD, CONVOLUTION OPERATION APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUMNovember 2024May 2025Allow610YesNo
18958186METHOD FOR INSTRUCTION REWRITING, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUMNovember 2024January 2025Allow200NoNo
18922976TENSOR PARALLEL GROUPOctober 2024April 2025Allow610NoNo
18922350PROCESS-IN-MEMORY ARCHITECTURE BASED ON RESISTIVE RANDOM ACCESS MEMORY AND MATRIX DECOMPOSITION ACCELERATION ALGORITHMOctober 2024January 2025Allow300NoNo
18901245Collective communication optimization method for global high-degree vertices, and applicationSeptember 2024July 2025Allow1010NoNo
18851656MULTIPLIER, MULTIPLY-ACCUMULATE CIRCUIT, OPERATIONAL CIRCUIT, PROCESSOR, AND CALCULATION APPARATUSSeptember 2024May 2025Allow810YesNo
18896556MATRIX MULTIPLICATION HARDWARE ARCHITECTURESeptember 2024January 2025Allow300NoNo
18892274PROCESSING DEVICE USING HETEROGENEOUS FORMAT INPUTSeptember 2024March 2025Allow610NoNo
18892280PROCESSING DEVICE USING DYNAMIC BIT SHIFTSeptember 2024December 2024Allow300YesNo
18846855MULTIPLIER, MULTIPLY-ACCUMULATE CIRCUIT, AND CONVOLUTION OPERATION UNITSeptember 2024June 2025Allow920NoNo
18821329RANDOM DATA GENERATION SYSTEM AND METHODAugust 2024December 2024Allow300NoNo
18793225RESTRUCTURING MATRIX PROCESSING ON A COMPUTING DEVICEAugust 2024December 2024Allow400NoNo
18833896DYNAMIC MAXIMAL CLIQUE ENUMERATION DEVICE AND METHOD BASED ON FPGA WITH HBMJuly 2024March 2025Allow800YesNo
18761402NEUROMORPHIC DEVICE AND DRIVING METHOD THEREOFJuly 2024July 2025Allow1210NoNo
18762439CALCULATION CONTROL FOR HYBRID COMPUTING OF HAMILTONIAN EIGENSOLUTIONSJuly 2024March 2025Allow910NoNo
18308172Multiply-Accumulate CircuitJune 2024October 2024Abandon1710NoNo
18753107MULTI-DIMENSIONAL FFT COMPUTATION PIPELINED HARDWARE ARCHITECTURE USING RADIX-3 AND RADIX-2² BUTTERFLIESJune 2024January 2026Allow1910NoNo
18751662MIXED-PRECISION MULTIPLY-AND-ACCUMULATION TREE STRUCTURE TO MAXIMIZE MEMORY BANDWIDTH USAGE FOR COMPUTATIONAL ACCELERATION OF GENERATIVE LARGE LANGUAGE MODELJune 2024October 2024Allow400NoNo
18750874CALCULATION CONTROL FOR HYBRID COMPUTING OF HAMILTONIAN EIGENSOLUTIONSJune 2024January 2025Allow710NoNo
18750830FLEXIBLE COMPUTE ENGINE MICROARCHITECTUREJune 2024December 2024Allow610YesNo
18746561PROCESSING CORE WITH DATA ASSOCIATIVE ADAPTIVE ROUNDINGJune 2024April 2025Allow1010NoNo
18744738DYNAMIC SOFTWARE INTERFACE TRANSLATION FOR COMPUTING IN A HETEROGENEOUS ENVIRONMENTJune 2024August 2024Allow200NoNo
18744211METHOD AND SYSTEM FOR WEIGHT MEMORY MAPPING FOR STREAMING OPERATION OF GIANT GENERATIVE ARTIFICAL INTELLIGENCE HARDWAREJune 2024August 2024Allow200NoNo
18740201METHOD AND SYSTEM FOR PERFORMING MULTI-DEVICE BASED INFERENCE FOR LARGE LANGUAGE MODELJune 2024December 2024Allow610NoNo
18717956VECTOR SHUFFLING METHOD, PROCESSOR AND ELECTRONIC DEVICEJune 2024May 2025Allow1110NoNo
18716082ENCRYPTED COMPUTATION COMPRISING A BLIND ROTATIONJune 2024August 2025Allow1520NoNo
18679915SPLIT ACCUMULATOR WITH A SHARED ADDERMay 2024February 2025Allow910NoNo
18678520PROCESSING-IN-MEMORY MEMORY DEVICE AND METHOD FOR PERFORMING INDIRECT ADDRESSING IN THE SAMEMay 2024June 2025Allow1200NoNo
18675736FAST PREDICTION PROCESSORMay 2024April 2025Allow1010NoNo
18713854SPATIOTEMPORAL DYNAMIC SYSTEM SOFT SENSING METHOD FOR AUTOMATICALLY DETERMINING PARTIAL DIFFERENTIAL EQUATION (PDE) STRUCTUREMay 2024September 2025Abandon1620NoNo
18710933SECURE MULTI-PARTY COMPUTATIONSMay 2024December 2024Allow710NoNo
18650280INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAMApril 2024July 2024Allow200NoNo
18638469LOW LATENCY MATRIX MULTIPLY UNITApril 2024September 2025Allow1720YesNo
18638441VECTOR OPERATION ACCELERATION WITH CONVOLUTION COMPUTATION UNITApril 2024October 2025Allow1820YesNo
18637783METHODS AND SYSTEMS FOR ENHANCED SENSOR ASSESSMENTS FOR PREDICTING SECONDARY ENDPOINTSApril 2024July 2024Allow200NoNo
18702318CAR PROCESSOR WITH PQC ENCRYPTION SUPPORTApril 2024April 2025Allow1210YesNo
18636640Vector Computation Unit in a Neural Network ProcessorApril 2024December 2024Allow810NoNo
18633703Computational Primitives Using A Matrix Multiplication AcceleratorApril 2024April 2025Allow1210NoNo
18626599MACHINE LEARNING ARCHITECTURE SUPPORT FOR BLOCK SPARSITYApril 2024April 2025Allow1210NoNo
18623567SYSTEMS AND METHODS FOR CREATING DETERMINATIONS SYSTEMSApril 2024June 2024Allow300NoNo
18620217BASE PLUS OFFSET ADDRESSING FOR LOAD/STORE MESSAGESMarch 2024February 2025Allow1100YesNo
18614947EXPOSING VALID BYTE LANES AS VECTOR PREDICATES TO CPUMarch 2024April 2025Allow1210NoNo
18693524ORDER-PRESERVING METHOD AND SYSTEM FOR MULTIPLE SETS OF LOAD STORE QUEUES OF PROCESSOR AND RELATED DEVICEMarch 2024December 2024Allow810YesNo
18609563APPARATUS AND METHOD FOR OPTIMIZATION USING DYNAMICALLY VARIABLE LOCAL PARAMETERSMarch 2024February 2026Allow2370YesNo
18603800Multiple Mode Arithmetic CircuitMarch 2024July 2025Allow1620YesNo
18598567Systems and Methods for Optimized Data Storage and Analysis Based on Cognitive EmulationMarch 2024April 2024Allow200NoNo
18588604ADDER CIRCUIT USING LOOKUP TABLESFebruary 2024November 2024Allow800NoNo
18588615SWITCHING A PREDICTED BRANCH TYPE FOLLOWING A MISPREDICTION OF A NUMBER OF LOOP ITERATIONSFebruary 2024May 2025Allow1500YesNo
18588383STORING LOAD PREDICTIONSFebruary 2024May 2025Allow1500YesNo
18584678SET OPERATIONS USING MULTI-CORE PROCESSING UNITFebruary 2024February 2025Allow1210NoNo
18582520METHODS FOR PERFORMING PROCESSING-IN-MEMORY OPERATIONS, AND RELATED SYSTEMSFebruary 2024February 2025Allow1210NoNo
18444695PIPELINE ARCHITECTURE FOR BITWISE MULTIPLIER-ACCUMULATOR (MAC)February 2024May 2025Allow1510NoNo
18441119CORRECTLY ROUNDED TABLE-BASED COMPUTATION OF LOGARITHMIC FUNCTIONFebruary 2024January 2026Allow2350YesNo
18434294Circuit and Method for Resource ArbitrationFebruary 2024February 2025Allow1310NoNo
18426504MECHANISM TO PERFORM SINGLE PRECISION FLOATING POINT EXTENDED MATH OPERATIONSJanuary 2024April 2025Abandon1420NoNo
18425726METHODS AND SYSTEMS FOR IMPLEMENTING A CONVOLUTION TRANSPOSE LAYER OF A NEURAL NETWORKJanuary 2024August 2024Allow600NoNo
18421487Tensor Automatic DifferentiationJanuary 2024June 2024Allow510YesNo
18417868Performing Multiple Bit Computation and Convolution in MemoryJanuary 2024April 2025Allow1510YesNo
18415159NEURAL NETWORK ACTIVATION COMPRESSION WITH NON-UNIFORM MANTISSASJanuary 2024December 2024Allow1100NoNo
18413776INTER-PROCESS SERVING OF MACHINE LEARNING FEATURES FROM MAPPED MEMORY FOR MACHINE LEARNING MODELSJanuary 2024April 2025Allow1410NoNo
18412846System Having a Hybrid Threading Processor, a Hybrid Threading Fabric Having Configurable Computing Elements, and a Hybrid Interconnection NetworkJanuary 2024September 2024Allow800YesNo
18408309MULTIPLY ACCUMULATE (MAC) UNIT WITH SPLIT ACCUMULATORJanuary 2024March 2024Allow200NoNo
18408296MULTIPLY ACCUMULATE (MAC) UNIT WITH SPLIT ACCUMULATORJanuary 2024March 2024Allow300YesNo
18406346HIGH PERFORMANCE PROCESSOR FOR LOW-WAY AND HIGH-LATENCY MEMORY INSTANCESJanuary 2024May 2025Allow1610NoNo
18404878INTEGRATED CIRCUIT CHIP APPARATUSJanuary 2024February 2025Allow1410NoNo
18402606COMPUTER PROCESSOR FOR HIGHER PRECISION COMPUTATIONS USING A MIXED-PRECISION DECOMPOSITION OF OPERATIONSJanuary 2024March 2025Allow1410NoNo
18401571RECONFIGURABLE ARITHMETIC ENGINE CIRCUITDecember 2023August 2024Allow800YesNo
18399381FLOATING-POINT DECOMPOSITION CIRCUITRY WITH DYNAMIC PRECISIONDecember 2023July 2025Allow1810YesNo
18397664SYSTEMS AND METHODS FOR PERFORMING 16-BIT FLOATING-POINT MATRIX DOT PRODUCT INSTRUCTIONSDecember 2023February 2025Allow1310NoNo
18395836SMALL MULTIPLIER AFTER INITIAL APPROXIMATION FOR OPERATIONS WITH INCREASING PRECISIONDecember 2023September 2024Allow900NoNo
18391662BILEVEL COORDINATED OPTIMIZATION METHOD FOR FIXED AND MOBILE CHARGING FACILITIES ON HIGHWAYSDecember 2023April 2024Allow400YesNo
18544313APPARATUS AND METHOD FOR PROCESSING FLOATING-POINT NUMBERSDecember 2023November 2024Allow1110NoNo
18542688METHOD TO COMPARE BETWEEN A FIRST NUMBER AND A SECOND NUMBERDecember 2023July 2024Allow700NoNo
18540669NEURAL NETWORK PROCESSING USING SPECIALIZED DATA REPRESENTATIONDecember 2023March 2025Allow1510NoNo
18538172HYBRID ANALOG-DIGITAL MATRIX PROCESSORSDecember 2023August 2024Allow800NoNo
18533711MAINTAINING APPROXIMATE UNIFORMITY OF AGING OF EQUIVALENT PROCESSING CIRCUITS IN A PIPELINE STAGE(S) IN A PROCESSORDecember 2023August 2025Allow2110YesNo
18533372PROCESSING WITH COMPACT ARITHMETIC PROCESSING ELEMENTDecember 2023January 2025Allow1320NoNo
18532546SYSTEM AND METHODS FOR CONSTRUCTING SINGLE-STAGE N-SORTERS AND N-FILTERSDecember 2023June 2024Allow610YesNo
18531734DATA PROCESSING APPARATUS AND RELATED PRODUCTSDecember 2023March 2025Allow1610NoNo
18530192Methods and Apparatus for Job Scheduling in A Programmable Mixed-Radix DFT/IDFT ProcessorDecember 2023November 2024Allow1210NoNo
18528541TOPOLOGICAL SCHEDULINGDecember 2023July 2024Allow801NoNo
18528086RESISTIVE AND DIGITAL PROCESSING CORESDecember 2023October 2024Allow1000NoNo
18523627MULTI-MODE ARCHITECTURE FOR UNIFYING MATRIX MULTIPLICATION, 1X1 CONVOLUTION AND 3X3 CONVOLUTIONNovember 2023February 2024Allow200NoNo
18523615SYSTEMS AND METHODS FOR PERFORMING MATRIX MULTIPLICATION WITH A PLURALITY OF PROCESSING ELEMENTSNovember 2023March 2024Allow400YesNo
18519531Integer Matrix Multiplication Engine Using PipeliningNovember 2023October 2024Allow1010NoNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for art-unit 2182.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
184
Examiner Affirmed
133
(72.3%)
Examiner Reversed
51
(27.7%)
Reversal Percentile
25.3%
Lower than average

What This Means

With a 27.7% 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
513
Allowed After Appeal Filing
163
(31.8%)
Not Allowed After Appeal Filing
350
(68.2%)
Filing Benefit Percentile
47.8%
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, 31.8% 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 2182 - Prosecution Statistics Summary

Executive Summary

Art Unit 2182 is part of Group 2180 in Technology Center 2100. This art unit has examined 9,489 patent applications in our dataset, with an overall allowance rate of 81.1%. Applications typically reach final disposition in approximately 30 months.

Comparative Analysis

Art Unit 2182's allowance rate of 81.1% places it in the 67% 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 2182 receive an average of 1.80 office actions before reaching final disposition (in the 42% percentile). The median prosecution time is 30 months (in the 54% 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 shorter 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.