Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19113919 | DIGITAL FILTER CIRCUIT, DIGITAL FILTERING METHOD, AND STORAGE MEDIUM STORING DIGITAL FILTERING PROGRAM | March 2025 | December 2025 | Allow | 9 | 1 | 0 | No | No |
| 18638441 | VECTOR OPERATION ACCELERATION WITH CONVOLUTION COMPUTATION UNIT | April 2024 | October 2025 | Allow | 18 | 2 | 0 | Yes | No |
| 18609563 | APPARATUS AND METHOD FOR OPTIMIZATION USING DYNAMICALLY VARIABLE LOCAL PARAMETERS | March 2024 | February 2026 | Allow | 23 | 7 | 0 | Yes | No |
| 18486518 | SEMICONDUCTOR MEMORY DEVICE EMPLOYING PROCESSING IN MEMORY (PIM) AND METHOD OF OPERATING THE SEMICONDUCTOR MEMORY DEVICE | October 2023 | January 2026 | Allow | 27 | 3 | 0 | Yes | No |
| 17847491 | VECTOR-BY-MATRIX-MULTIPLICATION ARRAY UTILIZING ANALOG OUTPUTS | June 2022 | March 2026 | Allow | 44 | 1 | 0 | Yes | No |
| 17742477 | Quantum Trend-Detection Algorithm | May 2022 | February 2026 | Allow | 45 | 1 | 0 | Yes | No |
| 17770483 | COMBINATORIAL OPTIMIZATION PROBLEM PROCESSING APPARATUS, COMBINATORIAL OPTIMIZATION PROBLEM PROCESSING METHOD, AND PROGRAM | April 2022 | January 2026 | Allow | 45 | 1 | 0 | Yes | No |
| 17770518 | METHOD FOR DETERMINING THE STATE OF A SYSTEM AND DEVICE IMPLEMENTING SAID METHODS | April 2022 | March 2026 | Abandon | 47 | 1 | 0 | No | No |
| 17586373 | RENDERING A SCENE USING A REDUCED MEMORY REPRESENTATION OF A POLYNOMIAL FUNCTION TO DETERMINE AN OUTPUT VALUE APPROXIMATING A MATHEMATICAL FUNCTION | January 2022 | December 2025 | Allow | 47 | 2 | 0 | No | No |
| 17507185 | COMPUTATION OF DISCRETE FOURIER TRANSFORMATION (DFT) USING NON-VOLATILE MEMORY ARRAYS | October 2021 | February 2026 | Allow | 52 | 1 | 0 | Yes | No |
| 17389362 | Device and Method of Handling a Modular Multiplication | July 2021 | January 2026 | Allow | 54 | 3 | 1 | Yes | No |
| 17376105 | CIRCUITS, METHODS, AND ARTICLES OF MANUFACTURE FOR HYPER-DIMENSIONAL COMPUTING SYSTEMS AND RELATED APPLICATIONS | July 2021 | March 2026 | Allow | 56 | 2 | 1 | Yes | No |
| 17309935 | SIGN-BASED PARTIAL REDUCTION OF MODULAR OPERATIONS IN ARITHMETIC LOGIC UNITS | July 2021 | February 2026 | Allow | 56 | 5 | 0 | Yes | Yes |
| 17293611 | SUPERVISED INFINITE BINARY MATRIX GENERATION DEVICE, METHOD, AND PROGRAM | May 2021 | November 2025 | Abandon | 55 | 2 | 0 | No | No |
| 17292067 | INTEGRATED MEMORY SYSTEM FOR HIGH PERFORMANCE BAYESIAN AND CLASSICAL INFERENCE OF NEURAL NETWORKS | May 2021 | November 2025 | Allow | 55 | 2 | 1 | Yes | No |
| 17194571 | PROCESSING DEVICE AND ELECTRONIC DEVICE HAVING THE SAME | March 2021 | January 2026 | Allow | 58 | 1 | 0 | Yes | No |
| 17163617 | ANALOG VECTOR-MATRIX MULTIPLICATION CIRCUIT | February 2021 | April 2022 | Allow | 15 | 1 | 0 | Yes | No |
| 17161716 | INTEGRATED CIRCUIT FOR MODULAR MULTIPLICATION OF TWO INTEGERS FOR A CRYPTOGRAPHIC METHOD, AND METHOD FOR THE CRYPTOGRAPHIC PROCESSING OF DATA BASED ON MODULAR MULTIPLICATION | January 2021 | October 2025 | Allow | 56 | 2 | 0 | Yes | Yes |
| 17051429 | PROCESSING UNIT, METHOD AND COMPUTER PROGRAM FOR MULTIPLYING AT LEAST TWO MULTIPLICANDS | October 2020 | September 2022 | Allow | 23 | 1 | 0 | Yes | No |
| 17076548 | DEVICE FOR COMPUTING THE INNER PRODUCT OF VECTORS | October 2020 | September 2022 | Allow | 23 | 1 | 0 | No | No |
| 17023541 | PHYSICAL-EVENT-BASED, RANDOM-NUMBER-GENERATION-AND-USE APPARATUS AND METHOD | September 2020 | November 2025 | Abandon | 60 | 4 | 0 | No | No |
| 16948195 | FLOATING POINT COMPUTATION FOR HYBRID FORMATS | September 2020 | January 2026 | Abandon | 60 | 5 | 0 | Yes | Yes |
| 17004228 | ARITHMETIC DEVICE | August 2020 | July 2022 | Allow | 23 | 1 | 0 | No | No |
| 17001060 | EFFICIENT HARDWARE IMPLEMENTATION OF THE EXPONENTIAL FUNCTION USING HYPERBOLIC FUNCTIONS | August 2020 | May 2022 | Allow | 20 | 0 | 0 | Yes | No |
| 16943334 | MEMORY DEVICE AND COMPUTING DEVICE USING THE SAME | July 2020 | June 2022 | Allow | 22 | 2 | 0 | No | No |
| 16925650 | MULTIPLE-DIGIT BINARY IN-MEMORY MULTIPLIER DEVICES | July 2020 | May 2022 | Allow | 23 | 1 | 0 | Yes | No |
| 16915937 | MULTIPLE BUSSES WITHIN A SYSTOLIC ARRAY PROCESSING ELEMENT | June 2020 | April 2022 | Allow | 21 | 1 | 0 | Yes | No |
| 16862722 | LOW AREA MULTIPLY AND ACCUMULATE UNIT | April 2020 | September 2022 | Allow | 29 | 1 | 0 | No | No |
| 16756581 | RANDOM NUMBER GENERATING CIRCUIT AND RANDOM NUMBER GENERATING METHOD | April 2020 | May 2022 | Allow | 25 | 2 | 0 | No | No |
| 16847505 | DIFFERENTIAL MIXED SIGNAL MULTIPLIER WITH THREE CAPACITORS | April 2020 | February 2022 | Allow | 22 | 1 | 0 | No | No |
| 16807562 | COMPUTE-IN-MEMORY (CIM) BINARY MULTIPLIER | March 2020 | February 2022 | Allow | 23 | 1 | 0 | No | No |
| 16795652 | INFORMATION PROCESSING APPARATUS AND METHOD FOR CONTROLLING SAMPLING APPARATUS | February 2020 | March 2022 | Allow | 25 | 3 | 0 | Yes | No |
| 16725378 | Iterative Estimation Hardware | December 2019 | March 2022 | Allow | 27 | 2 | 0 | Yes | No |
| 16623842 | COMPUTATION DEVICE, COMPUTATION METHOD, AND PROGRAM | December 2019 | October 2022 | Allow | 34 | 3 | 0 | No | No |
| 16691033 | SEMICONDUCTOR MEMORY DEVICE EMPLOYING PROCESSING IN MEMORY (PIM) AND METHOD OF OPERATING THE SEMICONDUCTOR MEMORY DEVICE | November 2019 | September 2022 | Allow | 33 | 1 | 0 | Yes | No |
| 16682011 | CONVOLUTIONAL OPERATION DEVICE WITH DIMENSIONAL CONVERSION | November 2019 | July 2022 | Allow | 32 | 1 | 0 | No | No |
| 16663848 | Solving Optimization Problems Using a Hybrid Computer System | October 2019 | December 2022 | Allow | 38 | 2 | 0 | Yes | No |
| 16604363 | Neural Network Circuit | October 2019 | September 2022 | Allow | 35 | 1 | 0 | Yes | No |
| 16603906 | PSEUDO SPECKLE PATTERN GENERATION DEVICE, PSEUDO SPECKLE PATTERN GENERATION METHOD, OBSERVATION DEVICE, AND OBSERVATION METHOD | October 2019 | September 2022 | Allow | 35 | 1 | 1 | Yes | No |
| 16592509 | METHODS TO COMPRESS RANGE DOPPLER MAP (RDM) VALUES FROM FLOATING POINT TO DECIBELS (DB) | October 2019 | September 2022 | Allow | 35 | 2 | 0 | Yes | No |
| 16578507 | MEMORY DEVICE AND COMPUTING DEVICE USING THE SAME | September 2019 | December 2021 | Allow | 27 | 2 | 0 | No | No |
| 16572783 | OPTIMIZATION PROBLEM ARITHMETIC METHOD AND OPTIMIZATION PROBLEM ARITHMETIC APPARATUS | September 2019 | May 2022 | Allow | 32 | 2 | 0 | No | No |
| 16569077 | OPTIMIZATION APPARATUS, METHOD IMPLEMENTED BY OPTIMIZATION APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR STORING PROGRAM | September 2019 | May 2022 | Allow | 32 | 3 | 0 | Yes | No |
| 16569643 | OPTIMIZATION PROBLEM ARITHMETIC METHOD AND OPTIMIZATION PROBLEM ARITHMETIC DEVICE | September 2019 | October 2021 | Allow | 25 | 1 | 0 | No | No |
| 16536663 | CONDITION CODE ANTICIPATOR FOR HEXADECIMAL FLOATING POINT | August 2019 | August 2022 | Allow | 36 | 3 | 0 | Yes | No |
| 16469604 | METHOD FOR HANDLING MULTIDIMENSIONAL DATA | June 2019 | October 2022 | Abandon | 41 | 2 | 1 | Yes | No |
| 16469074 | METHOD AND DEVICE FOR RECOGNIZING AN EVENT | June 2019 | April 2022 | Abandon | 34 | 2 | 0 | No | No |
| 16435248 | ELECTRONIC SYSTEM FOR COMPUTING ITEMS OF AN OUTER PRODUCT MATRIX | June 2019 | April 2022 | Allow | 34 | 3 | 0 | Yes | No |
| 16435048 | FLOATING-POINT DOT-PRODUCT HARDWARE WITH WIDE MULTIPLY-ADDER TREE FOR MACHINE LEARNING ACCELERATORS | June 2019 | November 2021 | Allow | 29 | 1 | 1 | Yes | No |
| 16432358 | ULTRA-LOW PRECISION FLOATING-POINT FUSED MULTIPLY-ACCUMULATE UNIT | June 2019 | July 2022 | Allow | 38 | 3 | 0 | No | No |
| 16426482 | DEVICE FOR HIGH DIMENSIONAL COMPUTING COMPRISING AN ASSOCIATIVE MEMORY MODULE | May 2019 | October 2021 | Allow | 29 | 1 | 0 | Yes | No |
| 16425792 | Radix-23 Fast Fourier Transform for an Embedded Digital Signal Processor | May 2019 | December 2021 | Abandon | 30 | 1 | 0 | No | No |
| 16416417 | RANDOM NUMBER GENERATOR USING MULTIPLE ENTROPY SOURCES AND A METHOD FOR GENERATING RANDOM NUMBERS | May 2019 | August 2021 | Allow | 27 | 2 | 0 | No | No |
| 16414810 | MEMORY DEVICE AND MATRIX PROCESSING UNIT UTILIZING THE MEMORY DEVICE | May 2019 | September 2021 | Allow | 28 | 1 | 0 | No | No |
| 16401128 | ARITHMETIC PROCESSING APPARATUS, CONTROL METHOD, AND RECORDING MEDIUM | May 2019 | October 2021 | Abandon | 30 | 1 | 0 | No | No |
| 16395345 | FUNCTION APPROXIMATION | April 2019 | February 2022 | Allow | 34 | 2 | 0 | Yes | No |
| 16393413 | System and Method for Computing Oscillating Functions | April 2019 | June 2022 | Abandon | 38 | 2 | 0 | No | No |
| 16382006 | COMPUTER ARCHITECTURE FOR EMULATING A QUADRILATERAL LATTICE CORRELITHM OBJECT GENERATOR IN A CORRELITHM OBJECT PROCESSING SYSTEM | April 2019 | December 2021 | Allow | 32 | 0 | 0 | Yes | No |
| 16369629 | USING FUZZY-JBIT LOCATION OF FLOATING-POINT MULTIPLY-ACCUMULATE RESULTS | March 2019 | January 2021 | Allow | 22 | 0 | 0 | No | No |
| 16369743 | INTERLEAVED PIPELINE OF FLOATING-POINT ADDERS | March 2019 | November 2021 | Allow | 31 | 2 | 0 | Yes | No |
| 16367193 | APPARATUS AND METHOD FOR CONTROLLING COMPLEX MULTIPLY-ACCUMULATE CIRCUITRY | March 2019 | June 2022 | Allow | 39 | 3 | 1 | Yes | No |
| 16366941 | METHOD AND APPARATUS FOR APPROXIMATION USING POLYNOMIALS | March 2019 | January 2022 | Allow | 34 | 3 | 0 | Yes | No |
| 16334145 | Method for Environmental Resistant True Random Number Generation | March 2019 | October 2022 | Abandon | 43 | 4 | 0 | Yes | No |
| 16333579 | PARALLEL, BLOCK-BASED DATA ENCODING AND DECODING USING MULTIPLE COMPUTATIONAL UNITS | March 2019 | December 2021 | Allow | 33 | 2 | 1 | No | No |
| 16353836 | Calculator Having Number Keys For 3.663 And 6.336 | March 2019 | April 2021 | Allow | 25 | 1 | 0 | No | No |
| 16352764 | SOFTMAX CIRCUIT | March 2019 | December 2020 | Allow | 21 | 0 | 0 | No | No |
| 16299596 | DYNAMIC SIGNAL PROCESSING | March 2019 | January 2022 | Allow | 34 | 4 | 0 | Yes | No |
| 16299435 | DATA PROCESSING APPARATUS, DATA PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM | March 2019 | December 2021 | Abandon | 33 | 2 | 0 | Yes | No |
| 16351357 | DIGITAL FILTERING FOR A SIGNAL WITH TARGET AND SECONDARY SIGNAL BANDS | March 2019 | August 2022 | Allow | 41 | 4 | 0 | Yes | No |
| 16299322 | CONVERSION CIRCUITRY | March 2019 | November 2021 | Allow | 32 | 3 | 0 | No | No |
| 16299625 | CALCULATING DEVICE, CALCULATION PROGRAM, RECORDING MEDIUM, AND CALCULATION METHOD | March 2019 | July 2021 | Allow | 28 | 2 | 0 | Yes | No |
| 16191767 | PARTITIONING SPARSE MATRICES BASED ON SPARSE MATRIX REPRESENTATIONS FOR CROSSBAR-BASED ARCHITECTURES | November 2018 | August 2022 | Abandon | 45 | 1 | 0 | No | No |
| 16099479 | XIU-ACCUMULATING REGISTER, XIU-ACCUMULATING REGISTER CIRCUIT, AND ELECTRONIC DEVICE | November 2018 | July 2022 | Abandon | 45 | 2 | 0 | No | No |
| 15908780 | NEUROMORPHIC SYSTEMS FOR COMPUTING CHARACTERISTICS OF A SET | February 2018 | March 2026 | Allow | 60 | 6 | 0 | Yes | Yes |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner DUONG, HUY.
With a 25.0% 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.
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, 20.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the bottom 25% across the USPTO, indicating that filing appeals is less effective here than in most other areas.
⚠ 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.
Examiner DUONG, HUY works in Art Unit 2182 and has examined 65 patent applications in our dataset. With an allowance rate of 81.5%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 33 months.
Examiner DUONG, HUY's allowance rate of 81.5% places them in the 53% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by DUONG, HUY receive 1.95 office actions before reaching final disposition. This places the examiner in the 48% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.
The median time to disposition (half-life) for applications examined by DUONG, HUY is 33 months. This places the examiner in the 46% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +17.8% benefit to allowance rate for applications examined by DUONG, HUY. This interview benefit is in the 59% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.
When applicants file an RCE with this examiner, 33.9% of applications are subsequently allowed. This success rate is in the 74% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 46.2% of cases where such amendments are filed. This entry rate is in the 70% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
When applicants request a pre-appeal conference (PAC) with this examiner, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 7% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
This examiner withdraws rejections or reopens prosecution in 42.9% of appeals filed. This is in the 9% percentile among all examiners. Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.
When applicants file petitions regarding this examiner's actions, 200.0% are granted (fully or in part). This grant rate is in the 98% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 12% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 3.8% of allowed cases (in the 77% percentile). Per MPEP § 714.14, a Quayle action indicates that all claims are allowable but formal matters remain. This examiner frequently uses Quayle actions compared to other examiners, which is a positive indicator that once substantive issues are resolved, allowance follows quickly.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
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.