COGNITIVE SCALE, INC.Download PDFPatent Trials and Appeals BoardJul 2, 20212020002348 (P.T.A.B. Jul. 2, 2021) Copy Citation UNITED STATES PATENT AND TRADEMARK OFFICE UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O. Box 1450 Alexandria, Virginia 22313-1450 www.uspto.gov APPLICATION NO. FILING DATE FIRST NAMED INVENTOR ATTORNEY DOCKET NO. CONFIRMATION NO. 14/729,545 06/03/2015 Matthew Sanchez COGSC-14-025.1 1088 33438 7590 07/02/2021 TERRILE, CANNATTI & CHAMBERS, LLP P.O. BOX 203518 AUSTIN, TX 78720 EXAMINER PARK, GRACE A ART UNIT PAPER NUMBER 2157 NOTIFICATION DATE DELIVERY MODE 07/02/2021 ELECTRONIC Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. Notice of the Office communication was sent electronically on above-indicated "Notification Date" to the following e-mail address(es): USPTO@dockettrak.com celeste@tcciplaw.com tmunoz@tcciplaw.com PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte MATTHEW SANCHEZ and DILUM RANATUNGA Appeal 2020-002348 Application 14/729,545 Technology Center 2100 Before ROBERT E. NAPPI, MARC S. HOFF, and MICHAEL T. CYGAN, Administrative Patent Judges. CYGAN, Administrative Patent Judge. DECISION ON APPEAL STATEMENT OF THE CASE Pursuant to 35 U.S.C. § 134(a), Appellant1 appeals from the Examiner’s decision to reject claims 1–14. Appeal Br. 9–13. We have jurisdiction under 35 U.S.C. § 6(b). We AFFIRM. 1 We use the word “Appellant” to refer to “applicant” as defined in 37 C.F.R. § 1.42. Appellant identifies the real party in interest as Cognitive Scale, Inc. Appeal Br. 1. Appeal 2020-002348 Application 14/729,545 2 CLAIMED SUBJECT MATTER The claimed subject matter generally relates to performing cognitive inference and learning operations. Spec. ¶ 2. The claimed cognitive computing approach has “more in common with the structure of the human brain than with the architecture of contemporary, instruction-driven computers.” Id. ¶ 28. The claimed subject matter incorporates knowledge into a cognitive graph, which is “a representation of expert knowledge, associated with individuals and groups over a period of time, to depict relationships between people, places, and things using words, ideas, audio and images.” Id. ¶ 46. Cognitive insights are produced by processing cognitive graphs through collaborative efforts of a graph query engine and an insight engine. Id. ¶ 61. The graph query engine performs various natural language processing to process queries. Id. The insight engine applies an algorithm to the cognitive graph to generate the cognitive insight. Id. Independent claim 1 is illustrative: 1. A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub- Appeal 2020-002348 Application 14/729,545 3 graph for incorporation into a cognitive graph, the cognitive graph comprising a machine-readable formalism for knowledge representation that provides a common framework allowing data and knowledge to be shared, the cognitive graph being stored within a repository of cognitive graphs, the repository of cognitive graphs comprising a plurality of application cognitive graphs, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine comprising an insight engine and a graph query engine, the insight engine encapsulating a predetermined algorithm, the predetermined algorithm being applied to the cognitive graph to generate a result, the insight engine operating collaboratively with the graph query engine to generate a cognitive insight, the insight engine comprising an insight agent; processing an application cognitive graph of the plurality of application cognitive graphs, the processing the application cognitive graph providing a plurality of individual cognitive insights for a user, the application cognitive graph being associated with a predetermined cognitive application, the insight agent using the application cognitive graph as a data source to provide the plurality of individual insights; and, generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights, the generating orchestrating the insight agent to generate the composite cognitive insight from the plurality of individual cognitive insights. Appeal Br. 9–10 (Claims App.). Independent claim 7 recites a non- transitory, computer-readable storage medium having limitations similar to that of claim 1. Id. at 11–12. Dependent claims 2–6 and 8–14 each incorporate the limitations of their respective independent claims. Id. at 10– 13. Appeal 2020-002348 Application 14/729,545 4 REFERENCES Name Reference Date Sukumar et al. (“Sukumar”) US 2014/0156591 A1 June 5, 2014 Sharp et al. (“Sharp”) US 2014/0181204 A1 June 26, 2014 REJECTIONS I. Claims 1, 3, 7, and 9 are provisionally rejected on the ground of nonstatutory double patenting as being unpatentable over claim 1 of U.S. Application number 14/734,493 and claim 3 of U.S. Application Number 14/734,490. II. Claims 1–14 are rejected under 35 U.S.C. § 101 as being ineligible subject matter. III. Claims 1, 3–7, and 9–14 are rejected under 35 U.S.C. § 102(a)(2) as being anticipated by Sukumar. IV. Claims 2 and 8 are rejected under 35 U.S.C. § 103 as being obvious over the combination of Sukumar and Sharp. OPINION I. Double Patenting Appellant has not argued substantive error in the Examiner’s double patenting rejection of claims 1, 3, 7, and 9 over claim 1 of U.S. Application number 14/734,493 and claim 3 of U.S. Application Number 14/734,490. Final Act. 4. However, because the Examiner’s rejection is provisional, we do not reach it. See Ex parte Moncla, 95 USPQ2d 1884, 1885 (BPAI 2010) Appeal 2020-002348 Application 14/729,545 5 (holding that it is premature to address a provisional rejection) (precedential). II. Subject Matter Eligibility 1. Principles of Law Patent-eligible subject matter is defined in 35 U.S.C. § 101 of the Patent Act, which recites: 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. There is, however, an implicit, longstanding exception to patent- eligible subject matter in 35 U.S.C. § 101: “[l]aws of nature, natural phenomena, and abstract ideas are not patentable.” Alice Corp. v. CLS Bank Int’l, 573 U.S. 208, 216 (2014) (citation omitted). This exception precludes patenting of “the basic tools of scientific and technological work” from which all inventions spring. Id. at 216–17 (quotation marks and citation omitted). Invention or discovery under § 101 is distinguished as being the application of such tools to an end otherwise satisfying the requirements of the patent statutes. See Gottschalk v. Benson, 409 U.S. 63, 67 (1972). The Supreme Court has established a framework for this eligibility determination. Where a claim is directed towards a law of nature, natural phenomena, or abstract idea, the elements of the claim as a whole must ensure that the claim, in practice, amounts to significantly more than a patent on the law of nature, natural phenomena, or abstract idea itself. Alice, 573 U.S. at 217–18. In applying this eligibility analysis, our reviewing court has stated, “the decisional mechanism courts now apply is to examine earlier cases in which a similar or parallel descriptive nature can be seen[,] . . . the Appeal 2020-002348 Application 14/729,545 6 classic common law methodology for creating law when a single governing definitional context is not available.” Amdocs (Isr.) Ltd. v. Openet Telecom, Inc., 841 F.3d 1288, 1294 (Fed. Cir. 2016) (citation omitted). To address the growing body of precedent, the USPTO recently published revised examination guidance on the application of § 101. 2019 Revised Patent Subject Matter Eligibility Guidance, 84 Fed. Reg. 50, 50 (Jan. 7, 2019) (hereinafter “2019 Guidance”); October 2019 Update: Subject Matter Eligibility (hereinafter “October 2019 Update”) (available at https://www.uspto.gov/sites/default/files/documents/peg_oct_2019_update.p df). The 2019 Guidance seeks to improve the clarity of the subject matter eligibility analysis and improve consistency of this analysis across the USPTO. 2019 Guidance, 84 Fed. Reg. at 50. The guidance within these documents has been incorporated into the June 2020 version of the MPEP, hereinafter referred to as “USPTO guidance” or by particular section of the MPEP. “Subject Matter Eligibility,” available at https://www.uspto.gov/ patent/laws-and-regulations/examination-policy/subject-matter-eligibility. Under USPTO guidance, we first look to whether the claim is directed to a judicial exception because: (1) the claim recites a law of nature, natural phenomenon, or abstract idea, the last of which includes certain groupings, identified as mathematical concepts, certain methods of organizing human activity and mental processes; and (2) the claim as a whole fails to recite additional elements that integrate the judicial exception into a practical application (see MPEP § 2106.05(a)–(c), (e)–(h)). Appeal 2020-002348 Application 14/729,545 7 Only if a claim (1) recites a judicial exception and (2) does not integrate that exception into a practical application, do we then look to whether the claim: adds a specific limitation beyond the judicial exception that are not “well-understood, routine, conventional” in the field (see MPEP § 2106.05(d)); or instead, simply appends well-understood, routine, conventional activities previously known to the industry, specified at a high level of generality, to the judicial exception. See MPEP § 2106.05. 2. Analysis We have reviewed the Examiner’s subject matter eligibility rejection in the Final Action (Final Act.) in light of Appellant’s contentions in the Appeal Brief (Appeal Br.) that the Examiner has erred. We have further considered the discussion in the Examiner’s Answer (Ans.) and in the Reply Brief (Reply Br.). We are not persuaded by Appellant’s contention of Examiner error in rejecting claims 1–14 under 35 U.S.C. § 101. We begin with claim 1. a. “Recites an Abstract Idea” The eligibility inquiry begins with determining whether the claim recites a judicial exception such as an abstract idea, at Step 2A Prong 1 of USPTO guidance. MPEP § 2106.04(II)(A). i. Examiner’s Findings The Examiner has found claim 1 to recite an abstract idea through the claimed operations of the computer code, amounting to all of claim 1 except for the features of processor, data bus, and storage medium, identified as generic computer components, and the operations of “receiving streams of Appeal 2020-002348 Application 14/729,545 8 data from a plurality of data sources,” “the cognitive graph being stored within a repository of cognitive graphs, the repository of cognitive graphs comprising a plurality of application cognitive graphs,” and “generate a result,” identified as mere data gathering and data output comprising insignificant extra-solution activity. Final Act. 5; Ans. 6–7. The Examiner, relying on the Specification, construes “cognitive insight” as “an insight that is the result of a cognitive process.” Ans. 4 (citing Spec. ¶¶ 4, 36, 38, 40, 41, 51). Further, the Examiner construes the terms “cognitive platform,” “cognitive engine,” “insight engine,” and “insight agent” as “modules of the cognitive inference and learning system.” Id. The Examiner finds the claimed operations of the computer code to cover mental operations, for example, “a human can organize data into a graph representation in his/her mind. Additionally, a human can apply an algorithm to the organized data to produce one or more cognitive insights, which essentially refers to understanding things with the mind.” Final Act. 5; see Ans. 4–6. ii. Appellant’s Arguments Appellant argues that the claims do not recite an abstract idea. Appeal Br. 4–5. Appellant argues that the claimed “insight agent” is a “software entity that uses a cognitive graph as a data source to generate individual cognitive insights.” Reply Br. 3. Appellant also argues that the functions being performed cannot be practically performed solely within a human mind. Id. Appeal 2020-002348 Application 14/729,545 9 iii. Analysis We agree that the Examiner-identified “cognitive” operations fall within the mental activity exception to patent-eligible subject matter. These operations are characterized by the Examiner as akin to “making a mental note or annotation,” “mentally imagining or drawing a small, easily understandable graph that can be incorporated into another graph,” “applying an algorithm to a graph,” “thinking about something and making an observation about it,” “looking at a graph and coming up with observations about the graph and mentally associating the graph with an application,” and “mak[ing] a new deduction based on other deductions.” Ans. 4–5. These operations are the types of “observation, evaluation, judgment, [and] opinion” that are characteristic of ineligible mental processes. See MPEP § 2106.04(a)(2)(III). Appellant has not provided persuasive reasons establishing Examiner error in these findings, instead providing only a conclusory allegation that such cannot be practically and solely performed within a human mind. Reply Br. 3. However, the Specification describes the “cognitive inference and learning system (CILS) operations” as being implemented “to mimic cognitive processes associated with the human brain.” Spec. ¶ 109. Appellant has not pointed to any claimed operations that are performed in a distinct manner from performance in the human mind so as to persuasively show that the claimed process could not be practically performed in the human mind. Accordingly, we agree with the Examiner that the claim recites an ineligible mental process. Under our controlling guidance, consistent with Court precedent, claim 1 satisfies Step 2A, Prong 1, such that the claim recites an abstract idea. Appeal 2020-002348 Application 14/729,545 10 b. “Directed to an Abstract Idea” Having determined that claim 1 recites an abstract idea, we next determine, under Step 2A, Prong 2 of USPTO guidance, whether the claims are directed to that abstract idea, or whether the claims have additional elements that integrate the abstract idea into a practical application of that abstract idea. MPEP § 2106.04. i. Examiner’s Findings The Examiner finds the additional elements of processor, data bus, and storage medium to be recited at a high level of generality such that it amounts to no more than an instruction to apply the mental operations using generic computer components, and do not impose meaningful limits on practicing the mental operations. Final Act. 5–6. The Examiner further finds operations of “receiving streams of data from a plurality of data sources,” “the cognitive graph being stored within a repository of cognitive graphs, the repository of cognitive graphs comprising a plurality of application cognitive graphs,” and “generate a result,” identified as mere data gathering and data output comprising insignificant extra-solution activity. Final Act. 5; Ans. 6–7. ii. Appellant’s Arguments Appellant further argues that the claims do not recite matter falling within the mental organization of human activity grouping because the claims as a whole are not directed solely to a method of organizing human activity. Reply Br. 1. Appellant argues that claim 1 provides the practical application “of generating a cognitive insight which is composed of a plurality of cognitive insights.” Appeal Br. 5. Appellant further argues that the combination of limitations is used in a specific manner in that Appeal 2020-002348 Application 14/729,545 11 the claims include the limitations of a cognitive inference and learning system which includes a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine comprising an insight engine and a graph query engine, the insight engine encapsulating a predetermined algorithm, the predetermined algorithm being applied to the cognitive graph to generate a result, the insight engine operating collaboratively with the graph query engine to generate a cognitive insight, the insight engine comprising an insight agent. Reply Br. 3. iii. Analysis USPTO guidance provides considerations, drawn from prior court precedent, that indicate that an additional element or combination of elements may have integrated a recited abstract idea into a practical application. MPEP § 2106.04(d)(I). One such consideration is whether the abstract idea is applied or used in some meaningful way beyond generally linking the use of the abstract idea to a particular technological environment, such that the claim as a whole is more than a drafting effort designed to monopolize the exception. Id. A contrary consideration, advanced by the Examiner, is whether the additional element(s) amount to a mere instruction to implement the abstract idea on a computer or to otherwise instruct the computer to “apply [the abstract idea].” Id. Under this framework, we analyze the additional elements in claim 1. Claim 1 contains, in addition to the abstract idea, a computer processor, data bus, and storage medium. Ans. 6. The Examiner characterizes these features as generic, and we agree that the Specification is consistent with that characterization. See Spec. ¶¶ 21–26. The Examiner further characterizes of “receiving streams of data from a plurality of data sources,” “the cognitive graph being stored within a repository of cognitive Appeal 2020-002348 Application 14/729,545 12 graphs, the repository of cognitive graphs comprising a plurality of application cognitive graphs,” and “generate a result,” identified as mere data gathering and data output comprising insignificant extra-solution activity. Final Act. 5; Ans. 6–7. We agree that the Specification is consistent with that characterization. See Spec. ¶¶ 53, 74–75, 90–92, 101. We are not persuaded by Appellant’s argument that the claimed configuration of “cognitive platform,” “cognitive engine,” “insight engine,” and “insight agent” in the “claimed cognitive inference and learning system to generate the composite cognitive insight” is more than merely linking the identified abstract idea to a generic computer system. Reply Br. 3. The Examiner construes these terms as “modules of the cognitive inference and learning system.” Ans. 4. Because the claimed “cognitive platform,” “cognitive engine,” “insight engine,” and “insight agent” are not described having a particular structure, such as through § 112(f) claim form, these terms are claimed by their function only, and therefore do not provide a particular machine structure so as to constitute additional structural elements beyond their functioning as part of the identified abstract idea. Appellant has not contended, nor do we determine, any improvement to the functioning of a computer or other technology, or application of the abstract idea beyond linking the use of the abstract idea to a computerized environment. Instead, we agree with the Examiner’s finding that the claimed subject matter merely uses the computer as a tool to perform the claimed abstract idea. Final Act. 6; Ans. 6. Accordingly, we are not persuaded by Appellant’s arguments that claim 1 integrates the identified abstract idea into a practical application of that idea. Based upon our controlling guidance and court precedent, we Appeal 2020-002348 Application 14/729,545 13 determine that claim 1 is directed towards the recited abstract idea, and that the recited abstract idea is not integrated into a practical application of that idea. c. Significantly More than the Abstract Idea Having determined that claim 1 is directed to an abstract idea, we next determine, under Step 2B of the 2019 Guidance, whether the claims amount to significantly more than the abstract idea itself. 84 Fed. Reg. at 56. A determination that the claims are significantly more may be indicated where additional limitations, either alone or in combination, are not well- understood, routine, conventional activity in the field. Id. The Examiner finds the additional elements to be limitations that are generic computer elements providing conventional computer functions. Final Act. 6; Ans. 4 (citing Spec ¶ 2). Appellant does not present any arguments that claim 1 is eligible due to considerations under Step 2B. See Appeal Br. 5; Reply Br. 4 (“Accordingly, the claims should be found to be eligible under Step 2A of the Revised Guidelines.”). i. Analysis With respect to the conventionality of the additional elements, the courts have found conventional the use of computers to perform generic tasks involving obtaining and comparing data, and issuing automated instructions. Alice, 573 U.S. at 224–26. The conventionality of generic computer components for transmitting data, storing and retrieving data in a memory, and updating data in a log, is also supported by USPTO guidance. MPEP § 2105.05(d)(II). Accordingly, we are not persuaded that claim 1, as a whole, recites significantly more than the recited abstract idea. Appeal 2020-002348 Application 14/729,545 14 In view of the foregoing, under USPTO Guidance, informed by our governing case law concerning 35 U.S.C. § 101, Appellant has not shown the Examiner erred in concluding claim 1 is directed to a judicial exception, i.e., an abstract idea, without significantly more. We therefore affirm the Examiner’s subject matter eligibility rejection of claim 1. Because Appellant argues claims 2–14 on the same grounds as claim 1, we affirm the Examiner’s rejection of claims 1–14. 37 C.F.R. § 41.37(c)(1)(iv). III. Anticipation Rejection over Sukumar As noted in Section II, supra, the Examiner, relying on the Specification, construes “cognitive insight” as “an insight that is the result of a cognitive process.” Ans. 4 (citing Spec. ¶¶ 4, 36, 38, 40, 41, 51). Further, the Examiner construes the terms “cognitive platform,” “cognitive engine,” “insight engine,” and “insight agent” as “modules of the cognitive inference and learning system.” Id. The Examiner finds each limitation of claim 1 to be disclosed by Sukumar. Final Act. 6–8. The Examiner makes specific findings as to how each of the limitations in the claim are disclosed, in the claimed manner, by Sukumar. Id.; Ans. 7–9. For example, the Examiner finds the claimed “cognitive inference and learning system executing on a hardware processor of an information processing system” to be disclosed by Sukumar’s described unified data integration system. Final Act. 7–8; Ans. 11 (citing Sukumar ¶ 54). The Examiner further finds the claimed functions of the cognitive inference and learning system to be disclosed by Sukumar, including providing a cognitive computing function (Sukumar’s unified data integration system analyzes data, Sukumar paragraph 22), comprising a cognitive platform comprising a cognitive engine (the system performs data Appeal 2020-002348 Application 14/729,545 15 analysis, Sukumar paragraph 22) and a graph query engine (the system performs metadata searching, Sukumar paragraphs 19 and 22), the insight engine operating collaboratively with the graph query engine to generate a cognitive insight, the cognitive engine comprising an insight engine, the insight engine comprising an insight agent (Sukumar’s unified data integration system generates schema-level hypotheses that make content connections between previously unknown data sources either automatically, based on pre-programmed rules, or through machine learning, paragraph 22). Id. The Examiner further explains: Paragraph 22 discloses that the unified data integration system analyzes data to generate link hypotheses based on pre- programmed rules or through machine learning. Paragraph 54 discloses that the unified data integration system may be formed from combinations of structure and functions and implemented in or interfaced with many ways and in many different combinations of hardware, software, or both. In other words, the unified data integration system (i.e., cognitive inference and learning system) may be implemented using hardware (i.e., cognitive platform) that executes software for analyzing data (i.e., cognitive engine) and generating link hypotheses (i.e., insight engine). Therefore, Sukumar clearly teaches “a cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine comprising an insight engine, the insight engine comprising an insight agent.” Ans. 11. Appellant argues that Sukumar does not disclose processing an application cognitive graph in the claimed manner, and does not disclose generating a composite cognitive insight in the claimed manner, and does not disclose a cognitive inference and learning system as claimed. Appeal Br. 6–7; Reply Br. 4–5. Appellant acknowledges the Examiner’s specific Appeal 2020-002348 Application 14/729,545 16 citations to portions of Sukumar as teaching each limitation, but alleges without further explanation that these portions do not disclose the claim limitations. Appeal Br. 7; Reply Br. 4–5. We are not persuaded by Appellant’s argument. The Examiner has provided specific findings, for which Appellant provides no more than conclusory assertions of error. We have reviewed the specific findings in view of the assertions of error, and we are not persuaded that the Examiner has erred by failing to show Sukumar to disclose each of the claim limitations in the claimed configuration. Therefore, we affirm the Examiner’s anticipation rejection of claim 1. Because Appellant argues claims 3–7 and 9–14 on the same grounds as claim 1, we affirm the Examiner’s rejection of claims 1, 3–7, and 9–14. 37 C.F.R. § 41.37(c)(1)(iv). IV. Obviousness Rejection over Sukumar and Sharp Claims 2 and 8 further recite: the plurality of individual cognitive insights used when composing the composite cognitive insight are related to a particular composite cognitive insight session, the cognitive insight session comprising a plurality of queries over a period of time, the plurality of queries being stored within a cognitive session graph associated with the session. The Examiner finds each additional limitation of claims 2 and 8 to be taught by Sukumar in view of Sharp. Final Act. 6–8. The Examiner makes specific findings as to how each of the limitations in the claim are disclosed, in the claimed manner, by Sukumar. Id.; Ans. 7–9. For example, the Examiner finds “the plurality of individual cognitive insights used when composing the composite cognitive insight are related to a particular composite cognitive insight session” to be taught by Sukumar’s description Appeal 2020-002348 Application 14/729,545 17 of limiting results to a specific field or a particular search. Final Act. 10 (citing Sukumar ¶¶ 19, 20). The Examiner finds “the cognitive insight session comprising a plurality of queries over a period of time” to be taught by Sukumar’s description of results being “based on the queries and the analytical artifacts created when processing the data” and Sharp’s description of a 24 hour window for tracking queries. Id. (citing Sukumar ¶ 22; Sharp ¶ 70). The Examiner finds “the plurality of queries being stored within a cognitive session graph associated with the session” to be taught by Sharp’s description of keeping track of queries and associating them with different metrics, such as popularity and click-through. Id. at 11 (citing Sharp ¶ 70). Appellant argues that Sukumar does not disclose processing an application cognitive graph in the claimed manner, and does not disclose the additional claimed features of claims 2 and 8. Appeal Br. 7–8. Appellant acknowledges the Examiner’s specific citations to portions of Sukumar and Sharp as teaching each limitation, but alleges without further explanation that these portions do not disclose the claim limitations. We are not persuaded by Appellant’s argument. The Examiner has provided specific findings, for which Appellant provides no more than conclusory assertions of error. We have reviewed the specific findings in view of the assertions of error, and we are not persuaded that the Examiner has erred by failing to show the combination of Sukumar and Sharp to teach or suggest each of the claim limitations in the claimed configuration. Therefore, we affirm the Examiner’s obviousness rejection of claims 2 and 8. Appeal 2020-002348 Application 14/729,545 18 CONCLUSION For the above-described reasons, we affirm the Examiner’s rejection of claims 1–14 as being ineligible subject matter under 35 U.S.C. § 101. We further affirm the Examiner’s anticipation rejection of claims 1, 3–7, and 9– 14, and the Examiner’s obviousness rejection of claims 2 and 8. DECISION SUMMARY In summary: Claim(s) Rejected 35 U.S.C. § Reference(s)/Basis Affirmed Reversed 1, 3, 7, 9 Provisional Nonstatutory Double Patenting2 1–14 101 Eligibility 1–14 1, 3–7, 9– 14 102 Sukumar 1, 3–7, 9–14 2, 8 103 Sukumar, Sharp 2, 8 Overall Outcome 1–14 No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § 1.136(a). See 37 C.F.R. § 1.136(a)(1)(iv). AFFIRMED 2 As explained above, we do not reach the Examiner’s provisional rejection of claims 1, 3, 7, and 9 for nonstatutory double patenting. Copy with citationCopy as parenthetical citation