Listed by the USPTO as MILLER, ALEXANDRIA JOSEPHINE
Tech Center 2100 • Art Units: 2142 2147
This examiner grants 24% of resolved cases
Alexandria Josephine Miller works in Art Unit 2142 of Tech Center 2100. She has 34 resolved cases and an allowance rate of 23.5 percent. This rate suggests a challenging prosecution environment where most applications do not reach allowance. The median days to allowance for her cases is 1446.
There is a very high interview lift of 72.7 percent, which is a massive increase over the 23.5 percent allowance rate. This data point suggests that interviews are almost essential for success in her docket. The 1446-day median timeline indicates a lengthy prosecution process that practitioners must account for in their planning.
Her top companies are Robert Bosch GmbH, Rakuten Symphony Inc., and Google LLC. The top firms include SUGHRUE MION, PLLC, Dority & Manning, P.A. and Red Hat, Inc., and Kim & Stewart LLP- VMware. These representatives have navigated the 34 resolved cases and the 1446-day median pendency to address the 23.5 percent allowance rate.
| App # | Title | Status | Assignee |
|---|---|---|---|
| 17487497 | METHOD AND SYSTEM FOR PROBABLY ROBUST CLASSIFICATION WITH MULTICLASS ENABLED DETECTION OF ADVERSARIAL EXAMPLES | Final Rejection | Robert Bosch GmbH |
| 17375556 | METHOD AND DEVICE FOR THE FUSION OF SENSOR SIGNALS USING A NEURAL NETWORK | Non-Final OA | Robert Bosch GmbH |
| 17899728 | Hardware-Aware Progressive Training Of Machine Learning Models | Non-Final OA | Google LLC |
| 18091410 | QUANTIZATION METHOD TO IMPROVE THE FIDELITY OF RULE EXTRACTION ALGORITHMS FOR USE WITH ARTIFICIAL NEURAL NETWORKS | Final Rejection | Fujitsu Limited |
| 17744456 | COMPUTER-BASED TECHNIQUES FOR LEARNING COMPOSITIONAL REPRESENTATIONS OF 3D POINT CLOUDS | Final Rejection | NVIDIA CORPORATION |
| 18060705 | DISTRIBUTED TRAINING METHOD BASED ON END-TO-END ADAPTION, AND DEVICE | Final Rejection | BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD. |
| 17704866 | SELF INSTANTIATING ALPHA NETWORK | Non-Final OA | RED HAT, INC. |
| 18762333 | TRAINING NEURAL NETWORKS ON ARBITRARILY LARGE DATA FILES | Non-Final OA | SRI International |
IP Author analyzes examiner patterns and generates tailored response strategies with the highest chance of allowance.
Build Your Strategy23.5% of resolved applications examined by Alexandria Josephine Miller were allowed (34 resolved cases), compared with 23.4% across Art Unit 2142 over the last five years.
This examiner's interview lift is +72.7 percentage points: the difference in allowance rate between resolved applications that had an examiner interview and those that did not.
Applications allowed by Alexandria Josephine Miller took 1,446 days on average from filing to allowance.
Alexandria Josephine Miller examines applications in Art Unit 2142 in Tech Center 2100 (Computing & Software).
