Prosecution Insights
Last updated: August 18, 2026
Application No. 19/303,981

Neural Network Representation Formats

Final Rejection §101
Filed
Aug 19, 2025
Priority
Oct 01, 2019 — EU 19200928.0 +2 more
Examiner
HICKS, AUSTIN JAMES
Art Unit
2142
Tech Center
2100 — Computer Architecture & Software
Assignee
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.
OA Round
2 (Final)
75%
Grant Probability
Favorable
3-4
OA Rounds
2y 2m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 75% — above average
75%
Career Allowance Rate
313 granted / 418 resolved
+19.9% vs TC avg
Strong +26% interview lift
Without
With
+25.8%
Interview Lift
resolved cases with interview
Typical timeline
3y 2m
Avg Prosecution
57 currently pending
Career history
467
Total Applications
across all art units

Statute-Specific Performance

§101
13.1%
-26.9% vs TC avg
§103
54.0%
+14.0% vs TC avg
§102
16.4%
-23.6% vs TC avg
§112
14.1%
-25.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 418 resolved cases

Office Action

§101
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Response to Arguments Applicant's arguments filed 6/15/2026 have been fully considered but they are not persuasive. Applicant argues that “this is a concrete data structure…” Remarks 12-14. Examiner disagrees. The data structure and algorithm for encoding/decoding are mathematical relationships. The data structure also doesn’t improve the functioning of a computer, like in Enfish. This method of encoding neural network parameters wouldn’t necessarily improve the functioning of a neural network either, because the encoding could be lossy or inefficient and nothing in the claimed algorithm forces the encoding to be better than just sending the neural network as a normal stream of packets. This is not necessarily an improvement to the technology of computers, neural networks, or video processing neural networks. Applicant argues the claims are tied to a specific hardware and a specific technological field. Remarks 15. The claims are merely linked to generic computer parts and “picture and/or video analysis”. Claim 23. This does amount to significantly more and it does not integrate the abstract idea into a practical application. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-17, 19, 23 and 26-27 are rejected under 35 U.S.C. 101 because the claimed invention is directed to an abstract idea of a mathematical relationship without significantly more. The claims recite encoding and decoding neural network parameters using different algorithms. This judicial exception is not integrated into a practical application because the additional elements of the neural network being configured for “picture and/or video processing” and control data enabling “improved efficient execution” of a neural network merely linked to computer technology and image processing. The claims do not include additional elements that are sufficient to amount to significantly more than the judicial exception because claim elements such as apparatus, computer and digital storage medium are generic computer parts. Conclusion THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Austin Hicks whose telephone number is (571)270-3377. The examiner can normally be reached Monday - Thursday 8-4 PST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Mariela Reyes can be reached at (571) 270-1006. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /AUSTIN HICKS/Primary Examiner, Art Unit 2142
Read full office action

Prosecution Timeline

Aug 19, 2025
Application Filed
Oct 24, 2025
Response after Non-Final Action
Mar 17, 2026
Non-Final Rejection mailed — §101
Jun 15, 2026
Response Filed
Jul 15, 2026
Final Rejection mailed — §101 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

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Patent 12687906
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Patent 12645389
COMPUTATIONAL STORAGE DEVICE FOR DEEP-LEARNING RECOMMENDATION SYSTEM AND METHOD OF OPERATING THE SAME
4y 0m to grant Granted Jun 02, 2026
Patent 12639558
NEURAL NETWORK PROCESSOR SYSTEM AND METHODS OF OPERATING AND FORMING THEREOF
4y 3m to grant Granted May 26, 2026
Patent 12626157
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3y 7m to grant Granted May 12, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
75%
Grant Probability
99%
With Interview (+25.8%)
3y 2m (~2y 2m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 418 resolved cases by this examiner. Grant probability derived from career allowance rate.

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