Prosecution Insights
Last updated: July 17, 2026
Application No. 18/289,292

GENERATING AND GLOBALLY TUNING APPLICATION-SPECIFIC MACHINE LEARNING ACCELERATORS

Non-Final OA
Filed
Nov 02, 2023
Priority
May 03, 2021 — nonprovisional of PCTUS2021030416
Examiner
KINSAUL, DANIEL W
Art Unit
2121
Tech Center
2100 — Computer Architecture & Software
Assignee
Google LLC
OA Round
1 (Non-Final)
65%
Grant Probability
Favorable
1-2
OA Rounds
1y 1m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 65% — above average
65%
Career Allowance Rate
143 granted / 220 resolved
+10.0% vs TC avg
Strong +44% interview lift
Without
With
+43.7%
Interview Lift
resolved cases with interview
Typical timeline
3y 9m
Avg Prosecution
1 currently pending
Career history
222
Total Applications
across all art units

Statute-Specific Performance

§101
0.3%
-39.7% vs TC avg
§103
87.1%
+47.1% vs TC avg
§102
3.5%
-36.5% vs TC avg
§112
1.7%
-38.3% vs TC avg
Black line = Tech Center average estimate • Based on career data from 220 resolved cases

Prosecution Timeline

Nov 02, 2023
Application Filed
May 07, 2026
Non-Final Rejection mailed (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 9678992
NULL
6y 0m to grant Granted Jun 13, 2017
Patent 9514476
NULL
5y 7m to grant Granted Dec 06, 2016
Patent 9507875
NULL
4y 9m to grant Granted Nov 29, 2016
Patent 9507857
NULL
3y 8m to grant Granted Nov 29, 2016
Patent 9503402
NULL
1y 12m to grant Granted Nov 22, 2016
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
65%
Grant Probability
99%
With Interview (+43.7%)
3y 9m (~1y 1m remaining)
Median Time to Grant
Low
PTA Risk
Based on 220 resolved cases by this examiner. Grant probability derived from career allowance rate.

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