Granted Patent
B2
US 12,488,343 · App. 18/240,319 · Granted Dec 2, 2025
Interoperable composite data units for use in distributed computing execution environments
Inventors:
Nicolas Fourrier (Auckland, NZ); Erin Zink (Phoenix, AZ); David McDonald (Auckland, NZ); Aaron McDonald (Auckland, NZ)
Assignee:
Futureverse Corporation Limited
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Abstract
Disclosed implementations provide executable data, such as artificial intelligence models that can be owned, traded, and used in various execution environments. By coupling a model with a strictly defined interface definition, the model can be executed in various execution environments that support the interface. Coupling the model with a non-fungible cryptographic token allows the model and other components to be owned and traded as a unit. The tradeable composite units have utility across multiple supported execution environments, such as video game environments, chat bot environments and financial trading environments. Additionally, the interface allows for the creation of pipelines and systems from multiple complementary composite units that can be used to train other models and composite units.
Claims (9)
1 . A non-transitory computer readable media for providing a computation model, comprising:
first execution data specifying predetermined tasks and an order in which the predetermined tasks are performed, whereby the execution data will cause a first execution environment to direct a first Artificial Intelligence (AI) model to perform the predetermined tasks in accordance with the order within the first execution environment;
an interface definition module including a pointer to an interface definition of a second execution environment, wherein the second execution environment includes second execution data specifying specified tasks and an order in which the specified tasks are performed, whereby the execution data causes a second AI model executing in a second execution environment to perform the specified tasks in accordance with the order to thereby modify the second AI model; and
a database pointer including a pointer to a database entry associated with the first execution data.
2 . The non-transitory computer readable media of claim 1 , wherein the interface definition specifies a finite set of inputs and outputs for the predetermined processing.
3 . The non-transitory computer readable media of claim 2 , wherein the database pointer points to a token stored on a decentralized ledger.
4 . The non-transitory computer readable media of claim 3 , wherein the token is a non-fungible token (NFT).
5 . The non-transitory computer readable media of claim 2 , wherein the database pointer points to a data field in a centralized database.
6 . The non-transitory computer readable media of claim 2 , wherein the execution data is stored one or more uni-dimensional matrices.
Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST
Recorded May 14, 2026
From: FUTUREVERSE CORPORATION LIMITED
To: FV ASSET SPV, LLC.
Reel/Frame 074658/0663 →
ASSIGNMENT OF ASSIGNOR'S INTEREST
Recorded Apr 2, 2024
From: FOURRIER, NICOLAS, DR.; ZINK, ERIN; MCDONALD, DAVID; MCDONALD, AARON
To: FUTUREVERSE CORPORATION LIMITED
Reel/Frame 066984/0831 →
ASSIGNMENT OF ASSIGNOR'S INTEREST
Recorded Dec 5, 2023
From: FOURRIER, NICOLAS, DR.; ZINK, ERIN; MCDONALD, DAVID; MCDONALD, AARON
To: FUTUREVERSE CORPORATION LIMITED
Reel/Frame 065772/0793 →
Continuity (3)
References Cited (133)
US 5402526A
· Bauman
· 1995
[cited by examiner]
US 7912560B2
· Hood et al.
· 2011
[cited by applicant]
US 9364759B2
· Kim
· 2016
[cited by applicant]
US 20150310423A1
· Desai et al.
· 2015
[cited by applicant]
US 20170147742A1
· Jayaraman et al.
· 2017
[cited by applicant]
US 20180314942A1
· Shinn et al.
· 2018
[cited by applicant]
US 20190232172A1
· Malan
· 2019
[cited by applicant]
US 20190236562A1
· Padmanabhan
· 2019
[cited by applicant]
US 20190299105A1
· Knight et al.
· 2019
[cited by applicant]
US 20190385136A1
· Blagov et al.
· 2019
[cited by applicant]
US 20220407702A1
· Jakobsson et al.
· 2022
[cited by applicant]
US 20230281601A9
· Doney
· 2023
[cited by applicant]
CA 3150262A1
· 2021
[cited by applicant]
CN 107169573A
· 2017
[cited by applicant]
KR 20200103275A
· 2020
[cited by applicant]
WO 2021046541A1
· 2021
[cited by applicant]
WO 2021097259A1
· 2021
[cited by applicant]
Talib, Manar Abu, et al. “A systematic literature review on hardware implementation of artificial intelligence algorithms.” The Journal of Supercomputing 77.2 (2021): pp. 1897-1938. (Year: 2021).
[cited by examiner]
Fernandez, Alberto, et al. “Evolutionary fuzzy systems for explainable artificial intelligence: Why, when, what for, and where to ?.” IEEE Computational intelligence magazine 14.1 (2019): pp. 69-81. (Year: 2019).
[cited by examiner]
Janiesch, Christian, Patrick Zschech, and Kai Heinrich. “Machine learning and deep learning.” Electronic markets 31.3 (2021): pp. 685-695. (Year: 2021).
[cited by examiner]
Netto, Marco AS, et al. “HPC cloud for scientific and business applications: taxonomy, vision, and research challenges.” ACM Computing Surveys (CSUR) 51.1 (2018): pp. 1-29. (Year: 2018).
[cited by examiner]
Russell, Stephen, Ira S. Moskowitz, and Adrienne Raglin. “Human information interaction, artificial intelligence, and errors.” Autonomy and artificial intelligence: a threat or savior ?. Cham: Springer International Pub…
[cited by examiner]
Huebscher, Markus C., and Julie A. McCann. “A survey of autonomic computing-degrees, models, and applications.” ACM Computing Surveys (CSUR) 40.3 (2008): pp. 1-28. (Year: 2008).
[cited by examiner]
“AI Protocol History. Evolution of the AI Protocol”; AI Protocol Whitepaper; downloaded from https://docs.aiprotocol.info/ai-protocol-history, pp. 1-2.
[cited by applicant]
Andersson, Per et al.: “Movie-an interactive environment for silicon compilation tools”, IEEE transactions on computer-aided design of integrated circuits and systems 8.6 (1989): pp. 693-701. (Year: 1989).
[cited by applicant]
Andrade, Henrique, et al.: “Optimizing the execution of multiple data analysis queries on parallel and distributed environments”, IEEE transactions on parallel and distributed systems 15.6 (2004): pp. 520-532. (Year: 20…
[cited by applicant]
Babichenko, Dmitriy et al.: “The Use of Agent-Based Models as Non-Player Characters in Serious Games”, 2020 IEEE 8th International Conference on Serious Games and Applications for Health (SeGAH). IEEE, 2020.pp. 1-8 (Yea…
[cited by applicant]
Balint, J. Timothy et al.: “Understanding everything NPCs can do: metrics for action similarity in non-player characters”, Proceedings of the 13th international conference on the foundations of digital games. 2018.pp. 1…
[cited by applicant]
Carey, Michael J., et al.: “Shoring up persistent applications”, Proceedings of the 1994 ACM SIGMOD international conference on Management of data. 1994.pp.383-394 (Year: 1994).
[cited by applicant]
Chiang, Mung et al.: “Fog and IoT: An overview of research opportunities”, IEEE Internet of things journal 3.6 (2016): pp. 854-864. (Year: 2016).
[cited by applicant]
Diaz, Guillermo et al.: “Evolutionary behavioral design of non-player characters in a FPS video game through particle swarm optimization”, 2019 13th International Conference on Software, Knowledge, Information Managemen…
[cited by applicant]
Dwyer, Matthew B. et al.: “Model checking graphical user interfaces using abstractions”, ACM SIGSOFT Software Engineering Notes 22.6 (1997): pp. 244-261. (Year: 1997).
[cited by applicant]
Epperly, Thomas, et al.: “Composite parallelism: Creating interoperability between PGAS languages, HPCS languages and message passing libraries”, Technical report LLNL-AR-499171, 2011.pp. 1-31 (Year: 2011).
[cited by applicant]
Etherscan.io; downloaded from https://etherscan.io/address/0xa189121eE045AEAA8DA80b72F7a1132e3B216237#code, pp. 1-6.
[cited by applicant]
Foerster, Jakob N., et al.: “Learning to Communicate with Deep Multi-Agent Reinforcement Learning”, arXiv:1605.06676v2 [cs.AI], May 24, 2016.
[cited by applicant]
GitHub—Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications. pp. 1-7.
[cited by applicant]
GitHub-openai/gym: A toolkit for developing and comparing reinforcement learning algorithms accessed on Jan. 24, 2025, pp. 1-5.
[cited by applicant]
Gym Documentation; 7 pages.
[cited by applicant]
Gymnasium: An API standard for reinforcement learning with a diverse collection of reference environments pp. 1-1.
[cited by applicant]
Hubbold, Roger, et al.: “GNU/MAVERIK: A micro-kernel for large-scale virtual environments”, Proceedings of the ACM symposium on Virtual reality software and technology. 1999. pp. 66-73 (Year: 1999).
[cited by applicant]
INFT // To the Young Artists of Cyberspace—Natively Digital—A Curated NFT Sale—2021—Sotheby's.
[cited by applicant]
International Preliminary Report on Patentability issued in PCT Patent Application No. PCT/IB2022/055797, dated Sep. 29, 2022.
[cited by applicant]
International Search Report and Written Opinion issued in PCT Patent Application No. PCT/IB2022/055797, dated Sep. 29, 2022.
[cited by applicant]
International Search Report and Written Opinion issued in PCT Patent Application No. PCT/IB2024/050941, dated Apr. 24, 2024.
[cited by applicant]
International Search Report and Written Opinion issued in PCT Patent Application No. PCT/IB2024/050944, dated Apr. 17, 2024.
[cited by applicant]
International Search Report and Written Opinion issued in PCT Patent Application No. PCT/US24/43724, dated Nov. 5, 2024.
[cited by applicant]
Kundu, Sajib, et al.: “Modeling virtualized applications using machine learning techniques”, Proceedings of the 8th ACM SIGPLAN/SIGOPS conference on Virtual Execution Environments. 2012. pp. 3-14 (Year: 2012).
[cited by applicant]
Ledeczi, Akos, et al.: “Composing domain-specific design environments”, Computer 34.11 (2001): pp. 44-51. (Year: 2001).
[cited by applicant]
McConaghy, Trent, et al.: “Towards an Ownership Layer for the Internet”, Ascribe GMBH, Version 1.03, Jun. 24, 2015.
[cited by applicant]
Mnih, V., et al.: “Human-level control through deep reinforcement learning”, Nature, vol. 518, Feb. 26, 2015.
[cited by applicant]
Multi-Agent_AI_DAO, “General-Purpose Decentralized Autonomous Organisation”, www.montreal.ai; 20 pages.
[cited by applicant]
Natella, Roberto, et al.: “Analyzing the effects of bugs on software interfaces”, IEEE Transactions on Software Engineering 46.3 (2018): pp. 280-301. (Year 2018).
[cited by applicant]
Ngu, Anne HH, et al.: “Semantic-based mashup of composite applications”, IEEE Transactions on Services Computing 3.1 (2010): pp. 2-15. (Year: 2010).
[cited by applicant]
Panagou, Eleni et al.: “Towards an open and decentralized case law curation ecosystem”, Plos one 15.10 (2020): pp. 1-30. (Year: 2020).
[cited by applicant]
Sekar, Ramachandran, et al.: “Model-carrying code: a practical approach for safe execution of untrusted applications”, ACM SIGOPS Operating Systems Review 37.5 (2003): pp. 15-28. (Year: 2003).
[cited by applicant]
Stripf, Timo, et al.: “A compilation-and simulation-oriented architecture description language for multicore systems”, 2012 IEEE 15th International Conference on Computational Science and Engineering. IEEE, 2012. pp. 38…
[cited by applicant]
Szekely, Pedro, et al.: “Declarative interface models for user interface construction tools: The Mastermind approach”, Engineering for Human-Computer Interaction: Proceedings of the IFIP TC2/WG2., Yellowstone Park, USA,…
[cited by applicant]
Tenorth, Moritz, et al.: “Understanding and executing instructions for everyday manipulation tasks from the world wide web”, 2010 ieee international conference on robotics and automation. IEEE, 2010.pp. 186-1491 (Year: …
[cited by applicant]
Vaswani, A., et al.: “Attention is all you need”, 31st Conference on Neural Information Processing Systems (NIPS 2017), arXiv:1706.03762v7 [cs.CL], Aug. 2, 2023.
[cited by applicant]
Yan, Ying, et al.: “Confidentiality support over financial grade consortium blockchain”, Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. 2020. pp. 2227-2240 (Year: 2020).
[cited by applicant]
Zyskind, Guy: “Efficient secure computation enabled by blockchain technology”, Diss. Massachusetts Institute on Technology, 2016. pp. 1-128 (Year: 2016).
[cited by applicant]
Buyya, Rajkumar, et al., “Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities.” 2009 international conference on high performance computing & simulatio…
[cited by applicant]
Chard, Ryan, et al. “DLHub: Model and data serving for science.” 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS). IEEE, 2019. pp. 283-292. (Year: 2019).
[cited by applicant]
Fisher, Michael, and Michael Wooldridge. “Executable temporal logic for distributed AI In.” Proceedings of the Twelfth International Workshop on Distributed Artificial Intelligence (IWDAI-93). 1993. pp. 131-142. (Year: …
[cited by applicant]
Flynn, Michael J., “Very high-speed computing systems.” Proceedings of the IEEE 54.12 (2005): pp. 1901-1909.
[cited by applicant]
McKeen, Frank, et al. “Innovative instructions and software model for isolated execution.” Hasp@ isca 10.1 (2013). pp. 1-8.
[cited by applicant]
Nilsson, Nils J. “A mobius automaton: An application of artificial intelligence techniques.” Proceedings of the 1st international joint conference on Artificial intelligence, IJCAI. vol. 69. 1969. pp. 509-520. (Year: 19…
[cited by applicant]
Anonymous: The Sandbox Whitepaper, The Sandbox, Oct. 29, 2020, Retrieved from the Internet: URL https://web.archive.org/web/20201029122558if_/https://installers.sandbox.game/The_Sandbox_Whitepaper_2020.pdf. retrieved on…
[cited by applicant]
Extended European Search Report at the European Patent Office issued in European Patent Application No. 22827810.7 / 4359988, dated Apr. 1, 2025.
[cited by applicant]
Guzzoni et al., “Active, A Tool for Building Intelligent User Interfaces.” ASC, 2007, pp. 1-6, Year: 2007.
[cited by applicant]
Guzzoni, et al., “Modeling Human-Agent Interaction with Active Ontologies.”, AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants, 2007, pp. 1-8, Year: 2007.
[cited by applicant]
Alverson, Gail A. et al., “Program structuring for effective parallel portability.” IEEE Transactions on Parallel and Distributed Systems 4.9 (1993): pp. 1041-1059. (Year: 1993).
[cited by applicant]
Steinwold, “AI + NFTs: What is an INFT?”, Apr. 6, 2021, Available at: https://andrewsteinwold.substack.com/p/ai-nfts-what-is-an-inft—10 pages.
[cited by applicant]