Last updated: July 05, 2026

Application No. 18/358,983

COMPUTER-READABLE RECORDING MEDIUM STORING MACHINE LEARNING PROGRAM AND MACHINE LEARNING METHOD

Non-Final OA

Filed

Jul 26, 2023

Priority

Oct 17, 2022 — JP 2022-166277

Examiner

SPRAUL III, VINCENT ANTON

Art Unit

2129

Tech Center

2100 — Computer Architecture & Software

Assignee

Fujitsu Limited

OA Round

1 (Non-Final)

This examiner grants 61% of cases after interview

— +25.6% interview lift. A telephonic interview to clarify the technical implementation could significantly improve the outcome.

Based on 41 resolved cases, 2023–2026

Examiner Intelligence

SPRAUL III, VINCENT ANTON View full profile →

Grants 61% of resolved cases

Career Allowance Rate

25 granted / 41 resolved

+6.0% vs TC avg

Strong +26% interview lift

Without

With

+25.6%

Interview Lift

resolved cases with interview

Typical timeline

4y 4m

Avg Prosecution

18 currently pending

Career history

Total Applications

across all art units

Statute-Specific Performance

§101

2.6%

-37.4% vs TC avg

§103

93.9%

+53.9% vs TC avg

§102

1.0%

-39.0% vs TC avg

§112

1.5%

-38.5% vs TC avg

Black line = Tech Center average estimate • Based on career data from 41 resolved cases

Prosecution Timeline

Jul 26, 2023

Application Filed

Mar 30, 2026

Non-Final Rejection mailed (current)

Precedent Cases

Applications granted by this same examiner with similar technology

17/590,930

Patent 12670384

METHOD FOR DETERMINING CLASS OF DATA TO BE DETERMINED USING MACHINE LEARNING MODEL, INFORMATION PROCESSING DEVICE, AND COMPUTER PROGRAM

4y 4m to grant Granted Jun 30, 2026

19/204,644

Patent 12657462

METHOD AND DEVICE FOR TRAINING NEURAL NETWORK MODEL

1y 1m to grant Granted Jun 16, 2026

17/795,597

Patent 12651160

METHOD FOR TRAINING NEURAL NETWORK BY USING DE-IDENTIFIED IMAGE AND SERVER PROVIDING SAME

3y 10m to grant Granted Jun 09, 2026

17/163,396

Patent 12619905

FLEXIBLE EMBEDDING SYSTEMS AND METHODS FOR REAL-TIME COMPARISONS

5y 3m to grant Granted May 05, 2026

17/557,599

Patent 12608446

DETERMINING PERFORMANCE CHANGE WITHIN A DATASET WITH AN APPLIED CONDITION USING MACHINE LEARNING MODELS

4y 4m to grant Granted Apr 21, 2026

Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.

Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2

Expected OA Rounds

61%

Grant Probability

87%

With Interview (+25.6%)

4y 4m (~1y 4m remaining)

Median Time to Grant

Low

PTA Risk

Based on 41 resolved cases by this examiner. Grant probability derived from career allowance rate.