Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18991935 | DECODER-ONLY TRANSFORMER MODEL FOR TIME SERIES DATA | December 2024 | May 2025 | Allow | 4 | 0 | 0 | No | No |
| 18991130 | SYSTEM AND METHOD FOR PREPROCESSING AND CONDITIONING COSMIC RAY DATA FOR RANDOMNESS GENERATION | December 2024 | March 2025 | Allow | 3 | 0 | 0 | No | No |
| 18896556 | MATRIX MULTIPLICATION HARDWARE ARCHITECTURE | September 2024 | January 2025 | Allow | 3 | 0 | 0 | No | No |
| 18821329 | RANDOM DATA GENERATION SYSTEM AND METHOD | August 2024 | December 2024 | Allow | 3 | 0 | 0 | No | No |
| 18308172 | Multiply-Accumulate Circuit | June 2024 | October 2024 | Abandon | 17 | 1 | 0 | No | No |
| 18751662 | MIXED-PRECISION MULTIPLY-AND-ACCUMULATION TREE STRUCTURE TO MAXIMIZE MEMORY BANDWIDTH USAGE FOR COMPUTATIONAL ACCELERATION OF GENERATIVE LARGE LANGUAGE MODEL | June 2024 | October 2024 | Allow | 4 | 0 | 0 | No | No |
| 18740201 | METHOD AND SYSTEM FOR PERFORMING MULTI-DEVICE BASED INFERENCE FOR LARGE LANGUAGE MODEL | June 2024 | December 2024 | Allow | 6 | 1 | 0 | No | No |
| 18710933 | SECURE MULTI-PARTY COMPUTATIONS | May 2024 | December 2024 | Allow | 7 | 1 | 0 | No | No |
| 18633703 | Computational Primitives Using A Matrix Multiplication Accelerator | April 2024 | April 2025 | Allow | 12 | 1 | 0 | No | No |
| 18626599 | MACHINE LEARNING ARCHITECTURE SUPPORT FOR BLOCK SPARSITY | April 2024 | April 2025 | Allow | 12 | 1 | 0 | No | No |
| 18582520 | METHODS FOR PERFORMING PROCESSING-IN-MEMORY OPERATIONS, AND RELATED SYSTEMS | February 2024 | February 2025 | Allow | 12 | 1 | 0 | No | No |
| 18444695 | PIPELINE ARCHITECTURE FOR BITWISE MULTIPLIER-ACCUMULATOR (MAC) | February 2024 | May 2025 | Allow | 15 | 1 | 0 | No | No |
| 18421487 | Tensor Automatic Differentiation | January 2024 | June 2024 | Allow | 5 | 1 | 0 | Yes | No |
| 18404878 | INTEGRATED CIRCUIT CHIP APPARATUS | January 2024 | February 2025 | Allow | 14 | 1 | 0 | No | No |
| 18540669 | NEURAL NETWORK PROCESSING USING SPECIALIZED DATA REPRESENTATION | December 2023 | March 2025 | Allow | 15 | 1 | 0 | No | No |
| 18533372 | PROCESSING WITH COMPACT ARITHMETIC PROCESSING ELEMENT | December 2023 | January 2025 | Allow | 13 | 2 | 0 | No | No |
| 18498892 | Attribution Analysis | October 2023 | April 2024 | Allow | 6 | 1 | 0 | Yes | No |
| 18384529 | REDUCED DOT PRODUCT COMPUTATION CIRCUIT | October 2023 | January 2025 | Allow | 15 | 1 | 0 | No | No |
| 18237887 | LSTM CIRCUIT WITH SELECTIVE INPUT COMPUTATION | August 2023 | March 2025 | Allow | 19 | 1 | 0 | No | No |
| 18363408 | DYNAMIC QUANTIZATION OF NEURAL NETWORKS | August 2023 | December 2024 | Allow | 17 | 1 | 0 | Yes | No |
| 18219918 | SYSTEMS AND METHODS FOR DIRECT RANDOM INFORMATION GENERATION FROM QUANTUM RANDOM EVENTS | July 2023 | July 2024 | Allow | 12 | 2 | 0 | No | No |
| 18338901 | DECIMAL FLOATING-POINT INSTRUCTION IN A ROUND-FOR-REROUND MODE | June 2023 | December 2024 | Allow | 18 | 1 | 0 | Yes | No |
| 18201000 | METHOD AND APPARATUS FOR IMPLEMENTING ON CHIP QUANTUM RANDOM NUMBER GENERATOR USING BETA DECAY | May 2023 | April 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 17925367 | A METHOD AND ARCHITECTURE FOR PERFORMING MODULAR ADDITION AND MULTIPLICATION SEQUENCES | March 2023 | December 2024 | Allow | 25 | 1 | 0 | Yes | No |
| 18119590 | Neural Network Architecture Using Single Plane Filters | March 2023 | July 2024 | Allow | 16 | 1 | 0 | No | No |
| 18174021 | INCREASED PRECISION NEURAL PROCESSING ELEMENT | February 2023 | July 2024 | Allow | 17 | 1 | 0 | Yes | No |
| 17787394 | A FAST MULTIPLE CORE METHOD AND SYSTEM FOR CHAINING ISOGENY COMPUTATIONS | February 2023 | January 2025 | Allow | 31 | 1 | 0 | No | No |
| 18107471 | Histogram-Based Per-Layer Data Format Selection for Hardware Implementation of Deep Neural Network | February 2023 | March 2024 | Allow | 14 | 1 | 0 | No | No |
| 18105159 | EXPLOITING ACTIVATION SPARSITY IN DEEP NEURAL NETWORKS | February 2023 | August 2024 | Allow | 19 | 2 | 0 | Yes | No |
| 18102020 | PROCESSING WITH COMPACT ARITHMETIC PROCESSING ELEMENT | January 2023 | July 2023 | Allow | 5 | 2 | 0 | No | No |
| 18150859 | Systems and Methods for Quantum Tomography Using an Ancilla | January 2023 | April 2024 | Allow | 16 | 2 | 0 | Yes | No |
| 18073972 | PROCESSING WITH COMPACT ARITHMETIC PROCESSING ELEMENT | December 2022 | September 2023 | Allow | 9 | 1 | 0 | No | No |
| 17967733 | ADAPTIVE MATRIX MULTIPLICATION ACCELERATOR FOR MACHINE LEARNING AND DEEP LEARNING APPLICATIONS | October 2022 | July 2024 | Allow | 21 | 1 | 0 | No | No |
| 17932537 | SYSTOLIC ARRAY INCLUDING FUSED MULTIPLY ACCUMULATE WITH EFFICIENT PRENORMALIZATION AND EXTENDED DYNAMIC RANGE | September 2022 | April 2024 | Allow | 19 | 1 | 0 | Yes | No |
| 17943078 | FLOATING POINT ACCUMULATER WITH A SINGLE LAYER OF SHIFTERS IN THE SIGNIFICAND FEEDBACK | September 2022 | May 2025 | Allow | 32 | 1 | 0 | Yes | No |
| 17942991 | FLOATING-POINT ACCUMULATOR | September 2022 | January 2024 | Allow | 16 | 0 | 0 | No | No |
| 17894431 | USING A LOW-BIT-WIDTH DOT PRODUCT ENGINE TO SUM HIGH-BIT-WIDTH NUMBERS | August 2022 | June 2025 | Abandon | 34 | 1 | 0 | No | No |
| 17862510 | DISAGGREGATION SYSTEM | July 2022 | February 2023 | Allow | 7 | 1 | 0 | Yes | No |
| 17855391 | HIGH THROUGHPUT MATRIX PROCESSOR WITH SUPPORT FOR CONCURRENTLY PROCESSING MULTIPLE MATRICES | June 2022 | January 2024 | Allow | 19 | 1 | 0 | No | No |
| 17841601 | COUNTER BASED MULTIPLY-AND-ACCUMULATE CIRCUIT FOR NEURAL NETWORK | June 2022 | April 2024 | Allow | 22 | 0 | 0 | No | No |
| 17737925 | Calculating a Floating-Point Function using Multiple Lookup Tables | May 2022 | February 2025 | Allow | 33 | 1 | 0 | Yes | No |
| 17728829 | Multiplier-Accumulator Processing Pipelines and Processing Component, and Methods of Operating Same | April 2022 | December 2023 | Allow | 20 | 1 | 0 | No | No |
| 17719942 | Multiplier-Accumulator Processing Pipelines and Processing Component, and Methods of Operating Same | April 2022 | September 2023 | Allow | 17 | 0 | 0 | No | No |
| 17716239 | SEMICONDUCTOR DEVICE COMPRISING OPERATION CIRCUITS AND A SWITCH CIRCUIT | April 2022 | August 2024 | Allow | 29 | 2 | 0 | No | No |
| 17711857 | Floating-Point Dynamic Range Expansion | April 2022 | March 2024 | Allow | 24 | 1 | 0 | No | No |
| 17697742 | Interpolating a Sample Position Value by Interpolating Surrounding Interpolated Positions | March 2022 | August 2024 | Allow | 29 | 1 | 0 | No | No |
| 17696595 | UNIVERSAL INTERFEROMETER AND SYSTEMS AND METHODS FOR UNIVERSAL THREE-DIMENSIONAL QUANTUM RANDOM NUMBER GENERATION | March 2022 | July 2022 | Allow | 4 | 0 | 0 | No | No |
| 17688853 | INTEGRATED CIRCUIT CHIP APPARATUS | March 2022 | October 2023 | Allow | 19 | 1 | 0 | No | No |
| 17688844 | INTEGRATED CIRCUIT CHIP APPARATUS | March 2022 | October 2023 | Allow | 19 | 1 | 0 | No | No |
| 17577454 | MAC Processing Pipeline having Activation Circuitry, and Methods of Operating Same | January 2022 | July 2025 | Allow | 41 | 0 | 0 | No | No |
| 17623741 | METHOD FOR IMPLEMENTING DOT PRODUCT OPERATION, ELECTRONIC DEVICE AND STORAGE MEDIUM | December 2021 | May 2024 | Abandon | 28 | 1 | 0 | No | No |
| 17560950 | CIRCUITRY FOR HIGH-BANDWIDTH, LOW-LATENCY MACHINE LEARNING | December 2021 | October 2023 | Allow | 21 | 1 | 0 | No | No |
| 17559475 | SYSTEMS AND METHOD FOR DETERMINING FREQUENCY COEFFICIENTS OF SIGNALS | December 2021 | November 2023 | Allow | 23 | 2 | 0 | Yes | No |
| 17550177 | WEIGHT VALUE DECODER OF NEURAL NETWORK INFERENCE CIRCUIT | December 2021 | February 2024 | Allow | 26 | 0 | 0 | No | No |
| 17534376 | FLOATING POINT MULTIPLY-ADD, ACCUMULATE UNIT WITH EXCEPTION PROCESSING | November 2021 | April 2022 | Allow | 5 | 1 | 0 | No | No |
| 17527324 | SPARSE MATRIX MULTIPLICATION ACCELERATION MECHANISM | November 2021 | February 2024 | Allow | 27 | 2 | 0 | No | No |
| 17522063 | Evaluating a Mathematical Function in a Computational Environment | November 2021 | January 2024 | Allow | 26 | 1 | 0 | No | No |
| 17522062 | DIRECTED ACYCLIC GRAPH MACHINE LEARNING SYSTEM | November 2021 | May 2022 | Allow | 7 | 2 | 0 | Yes | No |
| 17499331 | PROCESSING-IN-MEMORY (PIM) DEVICES | October 2021 | June 2025 | Allow | 44 | 1 | 0 | No | No |
| 17481064 | MACHINE LEARNING ARCHITECTURE SUPPORT FOR BLOCK SPARSITY | September 2021 | January 2024 | Allow | 28 | 2 | 0 | Yes | No |
| 17473319 | ELIMINATION OF ROUNDING ERROR ACCUMULATION | September 2021 | July 2023 | Allow | 22 | 1 | 0 | No | No |
| 17465558 | FLOATING POINT MULTIPLY-ADD, ACCUMULATE UNIT WITH COMBINED ALIGNMENT CIRCUITS | September 2021 | February 2022 | Allow | 6 | 1 | 0 | No | No |
| 17463544 | MIXED-PRECISION NEURAL NETWORK ACCELERATOR TILE WITH LATTICE FUSION | August 2021 | April 2025 | Allow | 44 | 1 | 0 | Yes | No |
| 17434356 | TRUE RANDOM NUMBER GENERATOR | August 2021 | March 2025 | Allow | 43 | 0 | 0 | No | No |
| 17410752 | PROCESSING-IN-MEMORY (PIM) DEVICES | August 2021 | June 2025 | Allow | 46 | 1 | 0 | No | No |
| 17431479 | BRAIN-LIKE COMPUTING CHIP AND COMPUTING DEVICE | August 2021 | August 2022 | Allow | 12 | 0 | 0 | No | No |
| 17402443 | ELECTROMECHANICAL APPARATUS, SYSTEM, AND METHOD FOR GENERATING TRUE RANDOM NUMBERS | August 2021 | May 2022 | Allow | 9 | 1 | 0 | Yes | No |
| 17399939 | PROCESSING-IN-MEMORY (PIM) DEVICES | August 2021 | January 2025 | Allow | 41 | 0 | 0 | No | No |
| 17397241 | FLOATING POINT MULTIPLY-ADD, ACCUMULATE UNIT WITH CARRY-SAVE ACCUMULATOR | August 2021 | April 2022 | Allow | 8 | 1 | 0 | No | No |
| 17428586 | GENERATION OF CERTIFIED RANDOM NUMBERS USING AN UNTRUSTED QUANTUM COMPUTER | August 2021 | January 2025 | Allow | 42 | 1 | 0 | Yes | No |
| 17387294 | OPTIMIZATION PROCESSING UNIT UTILIZING DIGITAL OSCILLATORS | July 2021 | December 2024 | Allow | 41 | 1 | 0 | No | No |
| 17386165 | FRACTIONAL DELAY FILTER FOR A DIGITAL SIGNAL PROCESSING SYSTEM | July 2021 | November 2024 | Allow | 39 | 1 | 0 | No | No |
| 17424254 | MEMORY-INTEGRATED NEURAL NETWORK | July 2021 | August 2024 | Allow | 36 | 0 | 0 | No | No |
| 17423711 | EVALUATION DEVICE, EVALUATION METHOD, AND RECORDING MEDIUM | July 2021 | August 2024 | Allow | 37 | 1 | 0 | Yes | No |
| 17375197 | PROCESSOR, METHOD OF OPERATING THE PROCESSOR, AND ELECTRONIC DEVICE INCLUDING THE SAME | July 2021 | February 2025 | Allow | 43 | 1 | 0 | Yes | No |
| 17372658 | NEURAL PROCESSOR AND CONTROL METHOD OF NEURAL PROCESSOR | July 2021 | April 2025 | Allow | 45 | 1 | 0 | No | No |
| 17370346 | DIGITAL FILTER CIRCUIT, MEASUREMENT INSTRUMENT, AND SIGNAL PROCESSING METHOD | July 2021 | August 2024 | Allow | 38 | 1 | 0 | No | No |
| 17369036 | NEURAL NETWORK OPERATION METHOD AND APPARATUS WITH MAPPING ORDERS | July 2021 | January 2025 | Allow | 43 | 1 | 0 | No | No |
| 17367633 | DECODERS FOR ANALOG NEURAL MEMORY IN DEEP LEARNING ARTIFICIAL NEURAL NETWORK | July 2021 | May 2024 | Allow | 35 | 1 | 1 | No | No |
| 17368523 | Methods and apparatuses for high performance and accuracy fixed-point scale implementation | July 2021 | March 2025 | Allow | 44 | 1 | 0 | No | No |
| 17367389 | Implementing Fundamental Computational Primitives Using A Matrix Multiplication Accelerator (MMA) | July 2021 | December 2023 | Allow | 29 | 1 | 0 | No | No |
| 17367097 | PROCESSING WITH COMPACT ARITHMETIC PROCESSING ELEMENT | July 2021 | March 2022 | Allow | 8 | 1 | 0 | No | No |
| 17367071 | PROCESSING WITH COMPACT ARITHMETIC PROCESSING ELEMENT | July 2021 | March 2022 | Allow | 9 | 2 | 0 | No | No |
| 17367051 | PROCESSING WITH COMPACT ARITHMETIC PROCESSING ELEMENT | July 2021 | March 2022 | Allow | 9 | 2 | 0 | No | No |
| 17359036 | HIGH PRECISION DECOMPOSABLE DSP ENTITY | June 2021 | September 2024 | Allow | 38 | 0 | 0 | No | No |
| 17304803 | SYSTOLIC ARRAY HAVING SUPPORT FOR OUTPUT SPARSITY | June 2021 | April 2025 | Allow | 46 | 2 | 0 | No | No |
| 17339895 | Methods and Circuits of Spatial Alignment | June 2021 | October 2024 | Allow | 40 | 2 | 0 | Yes | No |
| 17299044 | DATA ANALYSIS APPARATUS, METHOD, AND COMPUTER READABLE METHOD | June 2021 | March 2025 | Allow | 45 | 2 | 0 | No | No |
| 17334816 | Multiplier-Accumulator Unit Element with Binary Weighted Charge Transfer Capacitors | May 2021 | February 2024 | Allow | 33 | 0 | 0 | No | No |
| 17324557 | MULTIPLY OPERATION CIRCUIT, MULTIPLY AND ACCUMULATE CIRCUIT, AND METHODS THEREOF | May 2021 | December 2024 | Allow | 43 | 1 | 0 | No | No |
| 17323373 | Implementing Fixed-Point Polynomials in Hardware Logic | May 2021 | June 2023 | Allow | 25 | 1 | 0 | No | No |
| 17316639 | REDUCED DOT PRODUCT COMPUTATION CIRCUIT | May 2021 | June 2023 | Allow | 25 | 1 | 0 | No | No |
| 17245801 | HARDWARE ACCELERATION FOR COMPUTING EIGENPAIRS OF A MATRIX | April 2021 | February 2025 | Allow | 46 | 1 | 0 | Yes | No |
| 17240573 | PHOTONICS PROCESSOR ARCHITECTURE | April 2021 | November 2024 | Allow | 43 | 2 | 1 | No | No |
| 17237919 | METHOD AND MONITORING SYSTEM FOR PROVIDING SIGNAL LEVEL PERFORMANCE INFORMATION | April 2021 | January 2025 | Allow | 44 | 1 | 0 | No | No |
| 17230107 | FILTERING METHOD AND DEVICE OF FILTER, FILTER AND STORAGE MEDIUM | April 2021 | November 2024 | Abandon | 43 | 1 | 0 | No | No |
| 17229742 | REDUCING COMPUTATIONS FOR DATA INCLUDING PADDING | April 2021 | December 2023 | Allow | 32 | 3 | 0 | Yes | No |
| 17227323 | Neuro-Processing Circuit Using Three-Dimensional Memory to Store Look-Up Table of Activation Function | April 2021 | October 2024 | Abandon | 42 | 2 | 0 | No | No |
| 17217776 | SYSTEMS AND METHODS FOR EFFICIENT MATRIX MULTIPLICATION | March 2021 | October 2024 | Allow | 43 | 2 | 0 | Yes | No |
| 17214779 | DATA COMPRESSOR FOR APPROXIMATION OF MATRICES FOR MATRIX MULTIPLY OPERATIONS | March 2021 | April 2024 | Allow | 37 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner YAARY, MICHAEL D.
With a 60.0% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.
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, 53.3% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner YAARY, MICHAEL D works in Art Unit 2182 and has examined 622 patent applications in our dataset. With an allowance rate of 94.4%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 26 months.
Examiner YAARY, MICHAEL D's allowance rate of 94.4% places them in the 84% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by YAARY, MICHAEL D receive 1.32 office actions before reaching final disposition. This places the examiner in the 26% 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 YAARY, MICHAEL D is 26 months. This places the examiner in the 60% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +4.5% benefit to allowance rate for applications examined by YAARY, MICHAEL D. This interview benefit is in the 28% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 34.5% of applications are subsequently allowed. This success rate is in the 71% 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 73.6% of cases where such amendments are filed. This entry rate is in the 92% percentile among all examiners. Strategic Recommendation: This examiner is highly receptive to after-final amendments compared to other examiners. Per MPEP § 714.12, after-final amendments may be entered "under justifiable circumstances." Consider filing after-final amendments with a clear showing of allowability rather than immediately filing an RCE, as this examiner frequently enters such amendments.
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 6% 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 66.7% of appeals filed. This is in the 43% percentile among all examiners. Of these withdrawals, 20.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 45.9% are granted (fully or in part). This grant rate is in the 51% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
Examiner's Amendments: This examiner makes examiner's amendments in 1.3% of allowed cases (in the 71% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 13% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
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.