Holistic computing systems and methods for creating and providing inventor-technical solutions, particularly inventive solutions.

Abstract

The present invention, a machine for inventing, hereinafter referred to as "Inventor," relates to a holistic computing system and method for evaluating and using existing technical and scientific disclosures in all kinds of documents, including patentable and non-patentable existing art and prior art known in patentability, to create and provide useful new solutions in the form of methods and devices, including but not limited to patentable subject matter, and for carrying out solutions / inventions.

Claims

1. A holistic computing system (100) for creating and providing new technological and scientific solutions, comprising: a. A first database containing technical and / or scientific publications (122); b. An algorithm database (132) that includes and provides a set of algorithms to be applied by the system (100) for the purpose of analyzing and evaluating the data of the first database (122) for the purposes of feature engineering and machine and deep learning; c. An invention module (130) adapted to operate the first database (122); d. A system manager (134) adapted to receive a request (135) which causes the system to provide a solution in response to the request (135). A holistic computing system (100) equipped with the following features.

2. The holistic computing system (100) according to claim 1, further comprising a result classifier (150) adapted to evaluate and predict the probability of success in patenting the obtained findings.

3. A holistic computing system (100) according to claim 1 or 2, further comprising a modular supercomputing infrastructure.

4. The holistic computing system (100) according to any one of claims 1 to 3, wherein the result simulator (140) is adapted to execute a simulation algorithm provided by a deep learning simulation algorithm database.

5. A holistic computing system (100) according to any one of claims 1 to 4, comprising a grant manager (160) adapted to receive legal requirements for patentability of the findings from a legal database (124) and to match the findings with the help of a grant algorithm, taking into account the prior art in the first database (122).

6. The holistic computing system (100) according to claim 5 further includes a grant module (160) comprising a patent drafting algorithm (164) adapted to produce a draft of a predefined document of a patent application.

7. The holistic computing system (100) according to claim 6, wherein the granting module (160) is adapted to file a patent application with the Japan Patent Office (166).

8. The holistic computing system (100) according to any one of claims 1 to 7, wherein the first database (122) is a self-learning database and includes information from existing databases of scientific and technical papers, patents, books and all kinds of accessible data sources.

9. The modular supercomputer infrastructure (110) comprises a plurality of first computing elements (112) configured to perform arithmetic calculations with first precision, and one or more second computing elements (114) configured to perform arithmetic calculations with second precision, the holistic computing system (100) according to any one of claims 1 to 8.

10. The plurality of first computing elements (112) include at least one of a group of components, the group including: a processing node, a multicore processor, a general-purpose central processing unit, a scalar processor, a multiscalar processor, a processor core, a system on a chip, a computer, and a workstation, according to claim 9, the holistic computing system (100).

11. The holistic computing system (100) according to claim 9 or 10, wherein the one or more second computing elements (114) include at least one from a group of components, the group including: a GPU, an FPU, an FPGA, an ASIC, a neural processing unit, a tensor processing unit, and a parallel processor.

12. The holistic computing system (100) according to any one of claims 9 to 11, wherein the first accuracy is higher than the second accuracy.

13. The holistic computing system (100) according to any one of claims 1 to 12, wherein the modular supercomputer infrastructure (110) comprises at least one quantum computing element (116).

14. The holistic computing system (100) according to any one of claims 9 to 13, wherein the system manager (130) is configured to assign a first part of a computing task to one or more of the plurality of first computing elements (112) and to assign a second part of the computing task to one or more of the plurality of second computing elements (114).

15. The holistic computing system (100) according to claim 14, wherein the computational task is training or inference of a deep learning neural network.

16. A method for creating and providing new technical and scientific solutions using a holistic computing system, wherein the holistic computing system includes a first database (232) containing technical and / or scientific publications, an AI function (201), and the method is as follows: a. A step of receiving a user request (210), wherein the user request (210) includes one or more information items from a group of information items, the group of information items includes: a description of a subject area (212), a description of an existing solution (214), a description of a problem arising from the existing solution (216), and a description of a specific task (218); b. Step of analyzing the content of the user request (210); c. A step of abstracting the user request (210) using the AI ​​function (201); d. A step of retrieving information about the user request abstracted from the first database (232); e. A step of fine-tuning the AI ​​function (201) using the abstracted information on the user request retrieved from the first database (232); f. A step of generating a solution based on one or more information items of the user request (210) using the fine-tuned AI function; g. A step of retrieving information about the solution generated using the fine-tuned AI function from the first database (232); h. A step of determining the similarity between the solution generated using the fine-tuned AI function and the information retrieved from the first database relating to the solution generated using the fine-tuned AI function; i. If the similarity exceeds a predetermined threshold, the fine-tuned AI function is further fine-tuned using information about the solution generated using the fine-tuned AI function, and steps f) to h) are repeated based on the further fine-tuned AI function; j. Step of outputting the generated solution Methods that include...

17. The method according to claim 16, wherein the step of analyzing the content of the user request (210) includes the step of using the AI ​​function to generate one or more information items from the group of information not provided in the user request (210).

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