DETAILED ACTION
Claims 1-21 have been examined.
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 .
Claim Rejections - 35 U.S.C. § 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.
The invention, as taught in Claims 1-21, is directed to “mental steps” and “mathematical concepts” without significantly more.
The claims recite:
• a machine learning model
• selecting an input included in the series of sequential inputs
• determining background data for the selected input of the series of sequential inputs
• splitting the background data into at least a first sub-sequence and a second sub-sequence
• using the first sub-sequence and the second sub-sequence as a replacement for the selected input
• perturbed prediction outputs
• determining a relevance metric for the selected input
• demarcating the first sub-sequence and the second sub-sequence in response to a determination that the determined relevance metric is below a relevance threshold;
• pruning the background data including by grouping events in the second sub-sequence
• the second sub-sequence is considered a single sequential input for a subsequent explanation of the prediction output of the machine learning model;
• generating an explanation of the prediction output
• the explanation identifies…
• outputting at least a portion of the explanation of the prediction output of the machine learning model, wherein the prediction output is associated with a potential computer security vulnerability associated with non-legitimate account activity.
Claim 1
Step 1 inquiry: Does this claim fall within a statutory category?
The preamble of the claim recites “1. A method, comprising…” Therefore, it is a “method” (or “process”), which is a statutory category of invention. Therefore, the answer to the inquiry is: “YES”.
Step 2A (Prong One) inquiry:
Are there limitations in Claim 1 that recite abstract ideas?
YES. The following limitations in Claim 1 recite abstract ideas that fall within at least one of the groupings of abstract ideas enumerated in the 2019 PEG. Specifically, they are “mental steps” and “mathematical concepts”:
• a machine learning model
• selecting an input included in the series of sequential inputs
• determining background data for the selected input of the series of sequential inputs
• splitting the background data into at least a first sub-sequence and a second sub-sequence
• using the first sub-sequence and the second sub-sequence as a replacement for the selected input
• perturbed prediction outputs
• determining a relevance metric for the selected input
• demarcating the first sub-sequence and the second sub-sequence in response to a determination that the determined relevance metric is below a relevance threshold;
• pruning the background data including by grouping events in the second sub-sequence
• the second sub-sequence is considered a single sequential input for a subsequent explanation of the prediction output of the machine learning model;
• generating an explanation of the prediction output
• the explanation identifies…
• outputting at least a portion of the explanation of the prediction output of the machine learning model, wherein the prediction output is associated with a potential computer security vulnerability associated with non-legitimate account activity.
Step 2A (Prong Two) inquiry:
Are there additional elements or a combination of elements in the claim that apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that it is more than a drafting effort designed to monopolize the exception?
Applicant’s claims contain the following “additional elements”:
(1) A “receiving” of a series of sequential inputs and a prediction output
(2) An updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data
(1) A “receiving” of a series of sequential inputs and a prediction output” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(I)(2) recites in part:
2. A factual determination is required to support a conclusion that an additional element (or combination of additional elements) is well-understood, routine, conventional activity. Berkheimer v. HP, Inc., 881 F.3d 1360, 1368, 125 USPQ2d 1649, 1654 (Fed. Cir. 2018). However, this does not mean that a prior art search is necessary to resolve this inquiry. Instead, examiners should rely on what the courts have recognized, or those in the art would recognize, as elements that are well-understood, routine, conventional activity in the relevant field when making the required determination. For example, in many instances, the specification of the application may indicate that additional elements are well-known or conventional. See, e.g., Intellectual Ventures v. Symantec, 838 F.3d at 1317; 120 USPQ2d at 1359 ("The written description is particularly useful in determining what is well-known or conventional"); Internet Patents Corp. v. Active Network, Inc., 790 F.3d 1343, 1348, 115 USPQ2d 1414, 1418 (Fed. Cir. 2015) (relying on specification’s description of additional elements as "well-known", "common" and "conventional"); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 614, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) (Specification described additional elements as "either performing basic computer functions such as sending and receiving data, or performing functions ‘known’ in the art.").
Further, M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
i. Receiving or transmitting data over a network, e.g., using the Internet to gather data, Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 610, 118 USPQ2d 1744, 1745 (Fed. Cir. 2016) (using a telephone for image transmission); OIP Techs., Inc., v. Amazon.com, Inc., 788 F.3d 1359, 1363, 115 USPQ2d 1090, 1093 (Fed. Cir. 2015) (sending messages over a network); buySAFE, Inc. v. Google, Inc., 765 F.3d 1350, 1355, 112 USPQ2d 1093, 1096 (Fed. Cir. 2014) (computer receives and sends information over a network); …
Merely using the conventional computer to receive data is well known, understood, and conventional. Thus, it adds nothing significantly more to the judicial exception.
(2) A “updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
***
iv. Storing and retrieving information in memory, Versata Dev. Group, Inc. v. SAP Am., Inc., 793 F.3d 1306, 1334, 115 USPQ2d 1681, 1701 (Fed. Cir. 2015); OIP Techs., 788 F.3d at 1363, 115 USPQ2d at 1092-93;
This “updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)).
This “receiving” of a series of sequential inputs and a prediction output” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)).
The answer to the inquiry is “NO”, no additional elements integrate the claimed abstract idea into a practical application.
Step 2B inquiry:
Does the claim provide an inventive concept, i.e., does the claim recite additional element(s) or a combination of elements that amount to significantly more than the judicial exception in the claim?
Applicant’s claims contain the following “additional elements”:
(1) A “receiving” of a series of sequential inputs and a prediction output
A ““receiving” of a series of sequential inputs and a prediction output” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(I)(2) recites in part:
2. A factual determination is required to support a conclusion that an additional element (or combination of additional elements) is well-understood, routine, conventional activity. Berkheimer v. HP, Inc., 881 F.3d 1360, 1368, 125 USPQ2d 1649, 1654 (Fed. Cir. 2018). However, this does not mean that a prior art search is necessary to resolve this inquiry. Instead, examiners should rely on what the courts have recognized, or those in the art would recognize, as elements that are well-understood, routine, conventional activity in the relevant field when making the required determination. For example, in many instances, the specification of the application may indicate that additional elements are well-known or conventional. See, e.g., Intellectual Ventures v. Symantec, 838 F.3d at 1317; 120 USPQ2d at 1359 ("The written description is particularly useful in determining what is well-known or conventional"); Internet Patents Corp. v. Active Network, Inc., 790 F.3d 1343, 1348, 115 USPQ2d 1414, 1418 (Fed. Cir. 2015) (relying on specification’s description of additional elements as "well-known", "common" and "conventional"); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 614, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) (Specification described additional elements as "either performing basic computer functions such as sending and receiving data, or performing functions ‘known’ in the art.").
Further, M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
i. Receiving or transmitting data over a network, e.g., using the Internet to gather data, Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 610, 118 USPQ2d 1744, 1745 (Fed. Cir. 2016) (using a telephone for image transmission); OIP Techs., Inc., v. Amazon.com, Inc., 788 F.3d 1359, 1363, 115 USPQ2d 1090, 1093 (Fed. Cir. 2015) (sending messages over a network); buySAFE, Inc. v. Google, Inc., 765 F.3d 1350, 1355, 112 USPQ2d 1093, 1096 (Fed. Cir. 2014) (computer receives and sends information over a network); …
Merely using the conventional computer to receive data is well known, understood, and conventional. Thus, it adds nothing significantly more to the judicial exception.
Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)).
Therefore, the answer to the inquiry is “NO”, no additional elements provide an inventive concept that is significantly more than the claimed abstract ideas the claimed abstract idea into a practical application.
Claim 1 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 2
Claim 2 recites:
2. The method of claim 1, wherein using the background data as the replacement for the selected input to determine the plurality of perturbed prediction outputs includes selecting different groupings of the replacement for the selected input combined with one or more other inputs from the series of sequential inputs to utilize in a perturbation analysis.
Applicant’s Claim 2 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 2 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 3
Claim 3 recites:
3. The method of claim 2, wherein the different groupings is a sampling from a total number of possible groupings combining the replacement for the selected input with other inputs from the series of sequential inputs.
Applicant’s Claim 3 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 3 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 4
Claim 4 recites:
4. The method of claim 1, further comprising including one or more inputs of the series of sequential inputs in a single input group for purposes of determining the plurality of perturbed prediction outputs.
Applicant’s Claim 4 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 4 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 5
Claim 5 recites:
5. The method of claim 4, wherein the single input group includes a portion of the series of sequential inputs that includes an oldest input of the series of sequential inputs.
Applicant’s Claim 5 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 5 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 6
Claim 6 recites:
6. The method of claim 5, wherein the single input group has a size that is determined based on determining a dividing point in the series of sequential inputs at which a group of inputs from the oldest input to a more recent input causes the relevance metric computed for the group of inputs to fail to meet a specified threshold.
Applicant’s Claim 6 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 6 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 7
Claim 7 recites:
7. The method of claim 1, wherein determining the relevance metric for the selected input includes calculating a weighted average associated with the different perturbed prediction outputs.
Applicant’s Claim 7 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 7 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 8
Claim 8 recites:
8. The method of claim 1, further comprising receiving a plurality of features for each input of the series of sequential inputs.
Applicant’s Claim 8 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 8 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 9
Claim 9 recites:
9. The method of claim 8, further comprising selecting a feature included in the plurality of features and determining background data for the selected feature.
Applicant’s Claim 9 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 9 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 10
Claim 10 recites:
10. The method of claim 9, further comprising using the background data for the selected feature as a replacement for the selected feature to determine a feature-specific plurality of perturbed prediction outputs of the machine learning model.
Applicant’s Claim 10 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 10 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 11
Claim 11 recites:
11. The method of claim 10, further comprising calculating the relevance metric for the selected feature based at least in part on the feature-specific plurality of perturbed prediction outputs of the machine learning model.
Applicant’s Claim 11 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 11 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 12
Claim 12 recites:
12. The method of claim 1, further comprising selecting a cell of data associated with the series of sequential inputs, wherein the cell of data corresponds to a specific feature of a specific input of the series of sequential inputs, and determining background data for the selected cell.
Applicant’s Claim 12 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 12 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 13
Claim 13 recites:
13. The method of claim 12, further comprising using the background data for the selected cell as a replacement for the selected cell to determine a cell-specific plurality of perturbed prediction outputs of the machine learning model.
Applicant’s Claim 13 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 13 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 14
Claim 14 recites:
14. The method of claim 13, further comprising calculating the relevance metric for the selected cell based at least in part on the cell-specific plurality of perturbed prediction outputs of the machine learning model.
Applicant’s Claim 14 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 14 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 15
Claim 15 recites:
15. The method of claim 1, wherein the replacement for the selected input is determined based on calculating an average associated with data samples utilized to train the machine learning model.
Applicant’s Claim 15 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 15 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 16
Claim 16 recites:
16. The method of claim 1, wherein the prediction output of the machine learning model is associated with a transaction being analyzed for detection of account takeover, fraud, inappropriate account opening, money laundering, or other non-legitimate account activity.
Applicant’s Claim 16 merely teaches organizing human activity. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 16 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 17
Claim 17 recites:
17. The method of claim 1, wherein the machine learning model includes a recurrent neural network.
Applicant’s Claim 17 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 17 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 18
Claim 18 recites:
18. The method of claim 17, wherein the recurrent neural network is a long short-term memory network or a gated recurrent unit network.
Applicant’s Claim 18 merely teaches mathematical steps. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 18 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 19
Step 1 inquiry: Does this claim fall within a statutory category?
The preamble of the claim recites “19. A system, comprising…” Therefore, it is a “system” (or “apparatus”), which is a statutory category of invention. Therefore, the answer to the inquiry is: “YES”.
Step 2A (Prong One) inquiry:
Are there limitations in Claim 19 that recite abstract ideas?
YES. The following limitations in Claim 19 recite abstract ideas that fall within at least one of the groupings of abstract ideas enumerated in the 2019 PEG. Specifically, they are “mental steps” and “mathematical concepts”:
• a machine learning model
• selecting an input included in the series of sequential inputs
• determining background data for the selected input of the series of sequential inputs
• splitting the background data into at least a first sub-sequence and a second sub-sequence
• using the first sub-sequence and the second sub-sequence as a replacement for the selected input
• perturbed prediction outputs
• determining a relevance metric for the selected input
• demarcating the first sub-sequence and the second sub-sequence in response to a determination that the determined relevance metric is below a relevance threshold;
• pruning the background data including by grouping events in the second sub-sequence
• the second sub-sequence is considered a single sequential input for a subsequent explanation of the prediction output of the machine learning model;
• generating an explanation of the prediction output
• the explanation identifies…
• outputting at least a portion of the explanation of the prediction output of the machine learning model, wherein the prediction output is associated with a potential computer security vulnerability associated with non-legitimate account activity.
Step 2A (Prong Two) inquiry:
Are there additional elements or a combination of elements in the claim that apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that it is more than a drafting effort designed to monopolize the exception?
Applicant’s claims contain the following “additional elements”:
(1) A “receiving” of a series of sequential inputs and a prediction output
(2) one or more processors configured to
(3) updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data
(1) A “receiving” of a series of sequential inputs and a prediction output” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(I)(2) recites in part:
2. A factual determination is required to support a conclusion that an additional element (or combination of additional elements) is well-understood, routine, conventional activity. Berkheimer v. HP, Inc., 881 F.3d 1360, 1368, 125 USPQ2d 1649, 1654 (Fed. Cir. 2018). However, this does not mean that a prior art search is necessary to resolve this inquiry. Instead, examiners should rely on what the courts have recognized, or those in the art would recognize, as elements that are well-understood, routine, conventional activity in the relevant field when making the required determination. For example, in many instances, the specification of the application may indicate that additional elements are well-known or conventional. See, e.g., Intellectual Ventures v. Symantec, 838 F.3d at 1317; 120 USPQ2d at 1359 ("The written description is particularly useful in determining what is well-known or conventional"); Internet Patents Corp. v. Active Network, Inc., 790 F.3d 1343, 1348, 115 USPQ2d 1414, 1418 (Fed. Cir. 2015) (relying on specification’s description of additional elements as "well-known", "common" and "conventional"); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 614, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) (Specification described additional elements as "either performing basic computer functions such as sending and receiving data, or performing functions ‘known’ in the art.").
Further, M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
i. Receiving or transmitting data over a network, e.g., using the Internet to gather data, Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 610, 118 USPQ2d 1744, 1745 (Fed. Cir. 2016) (using a telephone for image transmission); OIP Techs., Inc., v. Amazon.com, Inc., 788 F.3d 1359, 1363, 115 USPQ2d 1090, 1093 (Fed. Cir. 2015) (sending messages over a network); buySAFE, Inc. v. Google, Inc., 765 F.3d 1350, 1355, 112 USPQ2d 1093, 1096 (Fed. Cir. 2014) (computer receives and sends information over a network); …
Merely using the conventional computer to receive data is well known, understood, and conventional. Thus, it adds nothing significantly more to the judicial exception.
This “receiving” of a series of sequential inputs and a prediction output” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)).
(2) A “one or more processors configured to” is a broad term which is described at a high level. M.P.E.P. § 2016.05(f) recites:
2106.05(f) Mere Instructions To Apply An Exception [R-10.2019]
Another consideration when determining whether a claim integrates a judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than a recitation of the words “apply it” (or an equivalent) or are more than mere instructions to implement an abstract idea or other exception on a computer. As explained by the Supreme Court, in order to make a claim directed to a judicial exception patent-eligible, the additional element or combination of elements must do “‘more than simply stat[e] the [judicial exception] while adding the words ‘apply it’”. Alice Corp. v. CLS Bank, 573 U.S. 208, 221, 110 USPQ2d 1976, 1982-83 (2014) (quoting Mayo Collaborative Servs. V. Prometheus Labs., Inc., 566 U.S. 66, 72, 101 USPQ2d 1961, 1965). Thus, for example, claims that amount to nothing more than an instruction to apply the abstract idea using a generic computer do not render an abstract idea eligible. Alice Corp., 573 U.S. at 223, 110 USPQ2d at 1983. See also 573 U.S. at 224, 110 USPQ2d at 1984 (warning against a § 101 analysis that turns on “the draftsman’s art”).
This “one or more processors configured to” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)).
(3) A “updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
***
iv. Storing and retrieving information in memory, Versata Dev. Group, Inc. v. SAP Am., Inc., 793 F.3d 1306, 1334, 115 USPQ2d 1681, 1701 (Fed. Cir. 2015); OIP Techs., 788 F.3d at 1363, 115 USPQ2d at 1092-93;
This “updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)).
The answer to the inquiry is “NO”, no additional elements integrate the claimed abstract idea into a practical application.
Step 2B inquiry:
Does the claim provide an inventive concept, i.e., does the claim recite additional element(s) or a combination of elements that amount to significantly more than the judicial exception in the claim?
Applicant’s claims contain the following “additional elements”:
(1) A “receiving” of a series of sequential inputs and a prediction output
(2) one or more processors configured to
(3) updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data
(1) A “receiving” of a series of sequential inputs and a prediction output” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(I)(2) recites in part:
2. A factual determination is required to support a conclusion that an additional element (or combination of additional elements) is well-understood, routine, conventional activity. Berkheimer v. HP, Inc., 881 F.3d 1360, 1368, 125 USPQ2d 1649, 1654 (Fed. Cir. 2018). However, this does not mean that a prior art search is necessary to resolve this inquiry. Instead, examiners should rely on what the courts have recognized, or those in the art would recognize, as elements that are well-understood, routine, conventional activity in the relevant field when making the required determination. For example, in many instances, the specification of the application may indicate that additional elements are well-known or conventional. See, e.g., Intellectual Ventures v. Symantec, 838 F.3d at 1317; 120 USPQ2d at 1359 ("The written description is particularly useful in determining what is well-known or conventional"); Internet Patents Corp. v. Active Network, Inc., 790 F.3d 1343, 1348, 115 USPQ2d 1414, 1418 (Fed. Cir. 2015) (relying on specification’s description of additional elements as "well-known", "common" and "conventional"); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 614, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) (Specification described additional elements as "either performing basic computer functions such as sending and receiving data, or performing functions ‘known’ in the art.").
Further, M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
i. Receiving or transmitting data over a network, e.g., using the Internet to gather data, Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 610, 118 USPQ2d 1744, 1745 (Fed. Cir. 2016) (using a telephone for image transmission); OIP Techs., Inc., v. Amazon.com, Inc., 788 F.3d 1359, 1363, 115 USPQ2d 1090, 1093 (Fed. Cir. 2015) (sending messages over a network); buySAFE, Inc. v. Google, Inc., 765 F.3d 1350, 1355, 112 USPQ2d 1093, 1096 (Fed. Cir. 2014) (computer receives and sends information over a network); …
Merely using the conventional computer to receive data is well known, understood, and conventional. Thus, it adds nothing significantly more to the judicial exception.
Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)).
(2) A “one or more processors configured to” is a broad term which is described at a high level. M.P.E.P. § 2016.05(f) recites:
2106.05(f) Mere Instructions To Apply An Exception [R-10.2019]
Another consideration when determining whether a claim integrates a judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than a recitation of the words “apply it” (or an equivalent) or are more than mere instructions to implement an abstract idea or other exception on a computer. As explained by the Supreme Court, in order to make a claim directed to a judicial exception patent-eligible, the additional element or combination of elements must do “‘more than simply stat[e] the [judicial exception] while adding the words ‘apply it’”. Alice Corp. v. CLS Bank, 573 U.S. 208, 221, 110 USPQ2d 1976, 1982-83 (2014) (quoting Mayo Collaborative Servs. V. Prometheus Labs., Inc., 566 U.S. 66, 72, 101 USPQ2d 1961, 1965). Thus, for example, claims that amount to nothing more than an instruction to apply the abstract idea using a generic computer do not render an abstract idea eligible. Alice Corp., 573 U.S. at 223, 110 USPQ2d at 1983. See also 573 U.S. at 224, 110 USPQ2d at 1984 (warning against a § 101 analysis that turns on “the draftsman’s art”).
Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)).
(3) A “updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
***
iv. Storing and retrieving information in memory, Versata Dev. Group, Inc. v. SAP Am., Inc., 793 F.3d 1306, 1334, 115 USPQ2d 1681, 1701 (Fed. Cir. 2015); OIP Techs., 788 F.3d at 1363, 115 USPQ2d at 1092-93;
Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)).
Therefore, the answer to the inquiry is “NO”, no additional elements provide an inventive concept that is significantly more than the claimed abstract ideas the claimed abstract idea into a practical application.
Claim 19 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 20
Step 1 inquiry: Does this claim fall within a statutory category?
The preamble of the claim recites “20. A computer program product embodied in a non-transitory computer readable medium and comprising computer instructions for…” Therefore, it is a “non-transitory computer readable medium” (or “product of manufacture”), which is a statutory category of invention. Therefore, the answer to the inquiry is: “YES”.
Step 2A (Prong One) inquiry:
Are there limitations in Claim 20 that recite abstract ideas?
YES. The following limitations in Claim 20 recite abstract ideas that fall within at least one of the groupings of abstract ideas enumerated in the 2019 PEG. Specifically, they are “mental steps” and “mathematical concepts”:
• a machine learning model
• selecting an input included in the series of sequential inputs
• determining background data for the selected input of the series of sequential inputs
• splitting the background data into at least a first sub-sequence and a second sub-sequence
• using the first sub-sequence and the second sub-sequence as a replacement for the selected input
• perturbed prediction outputs
• determining a relevance metric for the selected input
• demarcating the first sub-sequence and the second sub-sequence in response to a determination that the determined relevance metric is below a relevance threshold;
• pruning the background data including by grouping events in the second sub-sequence
• the second sub-sequence is considered a single sequential input for a subsequent explanation of the prediction output of the machine learning model;
• generating an explanation of the prediction output
• the explanation identifies…
• outputting at least a portion of the explanation of the prediction output of the machine learning model, wherein the prediction output is associated with a potential computer security vulnerability associated with non-legitimate account activity.
Step 2A (Prong Two) inquiry:
Are there additional elements or a combination of elements in the claim that apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that it is more than a drafting effort designed to monopolize the exception?
Applicant’s claims contain the following “additional elements”:
(1) A “receiving” of a series of sequential inputs and a prediction output
(2) updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data
(1) A “receiving” of a series of sequential inputs and a prediction output” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(I)(2) recites in part:
2. A factual determination is required to support a conclusion that an additional element (or combination of additional elements) is well-understood, routine, conventional activity. Berkheimer v. HP, Inc., 881 F.3d 1360, 1368, 125 USPQ2d 1649, 1654 (Fed. Cir. 2018). However, this does not mean that a prior art search is necessary to resolve this inquiry. Instead, examiners should rely on what the courts have recognized, or those in the art would recognize, as elements that are well-understood, routine, conventional activity in the relevant field when making the required determination. For example, in many instances, the specification of the application may indicate that additional elements are well-known or conventional. See, e.g., Intellectual Ventures v. Symantec, 838 F.3d at 1317; 120 USPQ2d at 1359 ("The written description is particularly useful in determining what is well-known or conventional"); Internet Patents Corp. v. Active Network, Inc., 790 F.3d 1343, 1348, 115 USPQ2d 1414, 1418 (Fed. Cir. 2015) (relying on specification’s description of additional elements as "well-known", "common" and "conventional"); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 614, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) (Specification described additional elements as "either performing basic computer functions such as sending and receiving data, or performing functions ‘known’ in the art.").
Further, M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
i. Receiving or transmitting data over a network, e.g., using the Internet to gather data, Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 610, 118 USPQ2d 1744, 1745 (Fed. Cir. 2016) (using a telephone for image transmission); OIP Techs., Inc., v. Amazon.com, Inc., 788 F.3d 1359, 1363, 115 USPQ2d 1090, 1093 (Fed. Cir. 2015) (sending messages over a network); buySAFE, Inc. v. Google, Inc., 765 F.3d 1350, 1355, 112 USPQ2d 1093, 1096 (Fed. Cir. 2014) (computer receives and sends information over a network); …
Merely using the conventional computer to receive data is well known, understood, and conventional. Thus, it adds nothing significantly more to the judicial exception.
This “receiving” of a series of sequential inputs and a prediction output” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)).
(2) A “updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
***
iv. Storing and retrieving information in memory, Versata Dev. Group, Inc. v. SAP Am., Inc., 793 F.3d 1306, 1334, 115 USPQ2d 1681, 1701 (Fed. Cir. 2015); OIP Techs., 788 F.3d at 1363, 115 USPQ2d at 1092-93;
This “updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)).
The answer to the inquiry is “NO”, no additional elements integrate the claimed abstract idea into a practical application.
Step 2B inquiry:
Does the claim provide an inventive concept, i.e., does the claim recite additional element(s) or a combination of elements that amount to significantly more than the judicial exception in the claim?
Applicant’s claims contain the following “additional elements”:
(1) A “receiving” of a series of sequential inputs and a prediction output
(2) updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data
(1) A “receiving” of a series of sequential inputs and a prediction output” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(I)(2) recites in part:
2. A factual determination is required to support a conclusion that an additional element (or combination of additional elements) is well-understood, routine, conventional activity. Berkheimer v. HP, Inc., 881 F.3d 1360, 1368, 125 USPQ2d 1649, 1654 (Fed. Cir. 2018). However, this does not mean that a prior art search is necessary to resolve this inquiry. Instead, examiners should rely on what the courts have recognized, or those in the art would recognize, as elements that are well-understood, routine, conventional activity in the relevant field when making the required determination. For example, in many instances, the specification of the application may indicate that additional elements are well-known or conventional. See, e.g., Intellectual Ventures v. Symantec, 838 F.3d at 1317; 120 USPQ2d at 1359 ("The written description is particularly useful in determining what is well-known or conventional"); Internet Patents Corp. v. Active Network, Inc., 790 F.3d 1343, 1348, 115 USPQ2d 1414, 1418 (Fed. Cir. 2015) (relying on specification’s description of additional elements as "well-known", "common" and "conventional"); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 614, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) (Specification described additional elements as "either performing basic computer functions such as sending and receiving data, or performing functions ‘known’ in the art.").
Further, M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
i. Receiving or transmitting data over a network, e.g., using the Internet to gather data, Symantec, 838 F.3d at 1321, 120 USPQ2d at 1362 (utilizing an intermediary computer to forward information); TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 610, 118 USPQ2d 1744, 1745 (Fed. Cir. 2016) (using a telephone for image transmission); OIP Techs., Inc., v. Amazon.com, Inc., 788 F.3d 1359, 1363, 115 USPQ2d 1090, 1093 (Fed. Cir. 2015) (sending messages over a network); buySAFE, Inc. v. Google, Inc., 765 F.3d 1350, 1355, 112 USPQ2d 1093, 1096 (Fed. Cir. 2014) (computer receives and sends information over a network); …
Merely using the conventional computer to receive data is well known, understood, and conventional. Thus, it adds nothing significantly more to the judicial exception.
Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)).
(2) A “updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data” is a broad term which is described at a high level. M.P.E.P. § 2106.05(d)(II) recites:
The courts have recognized the following computer functions as well‐understood, routine, and conventional functions when they are claimed in a merely generic manner (e.g., at a high level of generality) or as insignificant extra-solution activity.
***
iv. Storing and retrieving information in memory, Versata Dev. Group, Inc. v. SAP Am., Inc., 793 F.3d 1306, 1334, 115 USPQ2d 1681, 1701 (Fed. Cir. 2015); OIP Techs., 788 F.3d at 1363, 115 USPQ2d at 1092-93;
Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)).
Therefore, the answer to the inquiry is “NO”, no additional elements provide an inventive concept that is significantly more than the claimed abstract ideas the claimed abstract idea into a practical application.
Claim 20 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Claim 21
Claim 21 recites:
21. (New) The method of claim 14, further comprising:
forming a plurality of coalitions using at least one input of the series of sequential inputs;
randomly sampling a specified number of the plurality of coalitions;
combining at least two of the plurality of coalitions to reduce a computational cost of processing the plurality of coalitions compared with omitting the combining.
Applicant’s Claim 21 merely teaches the forming of “coalitions” (i.e., groups of input data), sampling the groups of data, and combining groups of input data. To illustrate this, paragraph [0022] recites the following:
[0022] An advantage of bringing the Shapley values framework into model interpretability is inheriting Shapley properties for model explanations, these being: local accuracy ensuring that the sum of all individual input attribution values is equal to the model's score; missingness dictating that missing inputs should have no impact on the model's score, and therefore their attribution must be null; and consistency ensuring that if an input's contribution to the model increases, then its attributed importance should not decrease. The Shapley value of each input represents the marginal contribution of that input toward the final prediction score. The marginal contribution of an input component i corresponds to forming a coalition (a grouping) of a number of input components without input component i, scoring it, and then adding input component i to that same coalition and scoring it again. The marginal contribution of input component i to the formed coalition will be the difference in score caused by adding input component i. In a traditional game theory sense, the Shapley value for input component i is calculated by determining an average of the marginal contributions of input component i across all possible coalitions that can be formed without input component i. For example, for a machine learning model that receives input components A, B, C, and D, the Shapley value for input component A (in the traditional game theory sense) would require calculating marginal contributions to the following coalitions: {B}, {B, C}, {B, D}, {B, C, D}, {C}, {C, D}, and {D}. A problem with calculating Shapley values in the traditional game theory sense is that the number of coalitions required increases exponentially with the number of input components to the machine learning model to the point of being computationally intractable for the number of input components typically received by machine learning models. Thus, in various embodiments, a sampling of N (a specified parameter) coalitions can be formed (representing N perturbations) instead of attempting to form every possible coalition. The sampling may be a random sampling. As used herein with respect to the disclosed techniques, Shapley values can refer to approximations of exact Shapley values based on a sampling of coalitions. Shapley values can also refer to exact Shapley values.
This does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).)
Claim 21 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101.
Response to Arguments
Applicant's arguments filed 18 DEC 2025 have been fully considered but they are not persuasive. Specifically, Applicant argues:
Argument 1
Claims 1-20 stand rejected under 35 U.S.C. §101 as patent ineligible. The present claims are patent eligible for at least the following reasons.
While the rejections are not necessarily agreed with, to facilitate matters, claim 1 has been amended to better clarify how event data is lumped together to reduce computational complexity. Claim 1 recites "updating computer memory to store the grouped events in the second sub-sequence, wherein reduced computer memory is used to store the grouped events compared with not pruning the background data." Support for the amendments may be found throughout the Specification, e.g., 17 and 37.
In Ex Parte Desjardins et al., Appeal 2024-, the Patent Trial and Appeal Board noted that
"[w]hen evaluating the claim as a whole, we discern at least the following limitation of independent claim 1 that reflects the improvement: 'adjust the first values of the plurality of parameters to optimize performance of the machine learning model on the second machine learning task while protecting performance of the machine learning model on the first machine learning task.' We are persuaded that constitutes an improvement to how the machine learning model itself operates."
Similarly, the above-highlighted features of claim 1 recites an improvement to the functioning of a computer associated with a machine learning model because reduced computer memory is used as a consequence of the recited method of pruning background data. Therefore, claim 1 is patent eligible.
The argued improvement is that the: “…event data is lumped together to reduce computational complexity…”
This is neither an improvement to the computer nor the machine learning system. It is an improvement to nonfunctional data, rather than any part of the actual system, itself.
Applicant's argument is unpersuasive.
The rejections stand.
Argument 2
Claim 1 recites that "the prediction output is associated with a potential computer security vulnerability associated with non-legitimate account activity." Support for the amendments may be found throughout the Specification, e.g., paragraph 19. A prediction output that could impact or identify a potential computer security vulnerability is an example of a practical application. Therefore, claim 1 is patent eligible for at least this additional reason.
Unspecified “associations” to the unspecified output data are not improvements to any technology.
Applicant's argument is unpersuasive.
The rejections stand.
Argument 3
Claims 2-18 and 21 depend from claim 1 and are therefore believed to be patent eligible for the same reasons described above. Claims 19 and 20 include features that make these claims patent eligible for the same reasons as claim 1.
Regarding independent Claims 19 and 20, similar arguments for similar claims are similarly unpersuasive.
The rejections stand.
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 inquiries concerning this communication or earlier communications from the examiner should be directed to Wilbert L. Starks, Jr., who may be reached Monday through Friday, between 8:00 a.m. and 5:00 p.m. EST. or via telephone at (571) 272-3691 or email: Wilbert.Starks@uspto.gov.
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/WILBERT L STARKS/
Primary Examiner, Art Unit 2122
WLS
28 MAR 2026