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1.发明公开公开(公告)号：US20240363222A1
公开(公告)日：2024-10-31
申请号：US18767306
申请日：2024-07-09
申请人： KPN INNOVATIONS LLC
发明人： Kenneth Neumann
摘要： An artificial intelligence system for generating educational inquiry responses from biological extractions and methods related thereto include a computing device designed and configured to retrieve a biological extraction pertaining to a user, identify, based on the biological extraction, at least a nutritional need of the user, receive at least an educational inquiry including a nutrition-related educational inquiry, select, based on the at least an educational inquiry, at least a machine-learning model, wherein selecting the at least a machine-learning model includes receiving biological extraction training data correlating exemplary biological extractions to exemplary nutritional support resources and training the at least a machine-learning model using the biological extraction training data, and generate, using the at least a machine-learning model and the at least a nutritional need of the user, an inquiry response including a plurality of nutritional support resources.
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2.发明公开公开(公告)号：US20240347170A1
公开(公告)日：2024-10-17
申请号：US18742769
申请日：2024-06-13
申请人： KPN INNOVATIONS LLC
发明人： Kenneth Neumann
摘要： A system for generating a vibrant compatibility plan using artificial intelligence, comprising a server configured to receive at least a composition datum from a user client device wherein the at least a composition datum includes at least an element of user body data and at least an element of desired dietary state data, select at least a correlated dataset, create at least an unsupervised machine-learning model including at least a hierarchical clustering model to output at least a compatible food element, generate at least a vibrant compatibility plan wherein the at least a vibrant compatibility plan further comprises a plurality of compatible food elements each containing at least a food element compatibility index value score as a function of the at least a hierarchical clustering model.
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公开(公告)号：US20240337496A1
公开(公告)日：2024-10-10
申请号：US18745618
申请日：2024-06-17
申请人： KPN INNOVATIONS LLC
发明人： Kenneth Neumann
IPC分类号： G01C21/34
CPC分类号： G01C21/343 , G01C21/3415
摘要： A system for path selection, the system comprising a computing device, wherein the computing device is configured to receive a plurality of alimentary elements and a plurality of destinations. Computing device may compute, using the plurality of alimentary elements and the plurality of destinations, a projected combination as a function of an objective function, wherein computing is based on completion time and destination. Computing device may determine a combination ranking by generating a batching objective function, wherein the function generates an output ranking according to at least a target criterion and selects a combination. Computing device may provide batching instructions to a user. Computing device may determine a predicted path for the plurality of alimentary elements wherein the predicted path is updated as a function of each alimentary element that has reached its destination. Computing device may provide the predicted path to a user.
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公开(公告)号：US12106195B2
公开(公告)日：2024-10-01
申请号：US17833651
申请日：2022-06-06
发明人： Kenneth Neumann
摘要： System and method for identifying enumerating cross-body degradations, the system comprising a computing device designed and configured to receive a biological extraction pertaining to a user, generate a first body degradation function, wherein generating the first body degradation function further includes mapping at least a biological extraction datum of the user to a current level of physiological integrity, determining an instantaneous rate of change of the current level of physiological integrity, and generating, as a function of the current level of physiological integrity and the instantaneous rate of change of the current level of physiological integrity, a first body degradation function, determine a second body degradation function, wherein the second body degradation function describes a rate of biological degradation that is statistically associated with the first body degradation function, and generate a body degradation packet as a function of the first body degradation function and the second body degradation function.
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公开(公告)号：US20240304304A1
公开(公告)日：2024-09-12
申请号：US18661324
申请日：2024-05-10
申请人： KPN INNOVATIONS LLC
发明人： Kenneth Neumann
CPC分类号： G16H20/60 , G06T7/0012 , G06T13/40 , G16H50/30 , G06T2207/20081 , G06T2207/20084
摘要： Described herein are systems and methods for determining a compatible substance. In some embodiments, a system may include a camera; a user interface; and a computing device configured to, using the camera, capture a first image; generate a first body measurement by training a body measurement machine learning model on a training dataset including a plurality of example images correlated to a plurality of example body measurements; and generating the first body measurement as a function of the first image using the trained body measurement machine learning model; determine a first compatible substance as a function of the first body measurement; and using the user interface, display the first compatible substance.
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公开(公告)号：US12079714B2
公开(公告)日：2024-09-03
申请号：US16502797
申请日：2019-07-03
申请人： Kenneth Neumann
发明人： Kenneth Neumann
IPC分类号： G06F16/30 , G06F16/9032 , G06N3/08 , G06N20/00 , G16H50/20 , G16H50/70 , G06F40/205
CPC分类号： G06N3/08 , G06F16/90332 , G06N20/00 , G16H50/20 , G16H50/70 , G06F40/205
摘要： In an aspect, an artificial intelligence advisory system for textual analysis. The system includes at least a server configured to receive at least a user datum from a user client device. The system includes an advisory module operating on the at least a server configured to receive at least an advisory input from an advisor client device and generate at least an advisory instruction set as a function of the at least a user input datum and the at least an advisory input. The system includes an artificial intelligence advisor operating on the at least a server configured to generate at least a textual output as a function of the at least an advisory instruction set and the at least a user input datum and receive at least a user input as a function of the at least a textual output.
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公开(公告)号：US12073375B2
公开(公告)日：2024-08-27
申请号：US18112028
申请日：2023-02-21
发明人： Harry Thomas Kloor
CPC分类号： G06Q20/24 , G06F21/10 , G06Q20/085 , H04L67/60
摘要： A method for using a line-of-credit digital content distribution platform is disclosed. The method includes receiving, from a user computing device, a request for initial access of a user to a digital content distribution platform, granting access to the digital content distribution platform based upon the request for initial access, providing the user with a line-of-credit usable by the user, wherein the line-of-credit includes a digital credit, providing an introductory digital credit to the user, receiving, from the user, an activity completed on the digital content distribution platform for the digital credit and increasing the line-of-credit as a function of the activity completed by the user.
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公开(公告)号：US12073296B2
公开(公告)日：2024-08-27
申请号：US17032066
申请日：2020-09-25
发明人： Kenneth Neumann
IPC分类号： G06N20/00 , A61B5/11 , A63B24/00 , A63B71/06 , G09B19/00 , G16H10/20 , G16H20/30 , G16H40/67 , G16H50/70
CPC分类号： G06N20/00 , A63B24/0075 , A63B71/0622 , G09B19/0038 , G16H10/20 , G16H20/30 , G16H40/67 , G16H50/70 , A61B5/1118 , A63B2024/0065 , A63B2071/0675 , A63B2220/836
摘要： A system for generating physical activity sets for a human subject, the system comprising a computing device configured to detect a signal from a wearable fitness device, determine an activity profile using an activity machine-learning model and the signal, generate using the activity profile, at least a physical activity set, wherein generating further comprising classifying the activity profile with corresponding activity profile data from a plurality of human subjects, wherein the corresponding activity profile data correlates activity profile data to at least a physical activity set, training a fitness machine-learning model using the corresponding activity profile data, generating the at least a physical activity set as a function of the activity profile data and the fitness machine-learning model, and generate a presentation of the activity profile and the at least a physical activity set using a graphical user interface.
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9.发明公开公开(公告)号：US20240203598A1
公开(公告)日：2024-06-20
申请号：US18591067
申请日：2024-02-29
申请人： KPN Innovations, LLC
发明人： Kenneth Neumann
摘要： A system for selecting an ameliorative output using artificial intelligence includes at least a server configured to receive at least a prognostic output. At least a server is configured to generate a plurality of ameliorative outputs as a function of at least a prognostic output wherein the plurality of ameliorative outputs include at least a short-term indicator and at least a long-term indicator. At least a server is configured to receive at least a user life element datum wherein the at least a user life element datum includes at least a user life quality response. At least a server is configured to generate a loss function of the plurality of short-term indicators and the plurality of long-term indicators using at least a user life element datum. At least a server is configured to select at least an ameliorative output from a plurality of ameliorative outputs to minimize the loss function.
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公开(公告)号：US20240197263A1
公开(公告)日：2024-06-20
申请号：US18591331
申请日：2024-02-29
申请人： KPN Innovations, LLC
发明人： Kenneth Neumann
CPC分类号： A61B5/7267 , A61B5/48 , A61B5/7246 , A61B5/7435 , A61B90/39 , G06N20/00 , G16H20/60 , G16H40/63
摘要： Described herein are systems and methods of generating a food compatibility datum. In some embodiments, a system may include a computing device configured to receive a plurality of physiological extractions of a subject, wherein the plurality of physiological extractions comprises at least an inflammation metric; receive a plurality of alimentary element consumption data wherein each alimentary element consumption datum of the plurality of plurality of alimentary element consumption data describes a consumption of the subject prior to a physiological extraction of the plurality of physiological extractions; generate a plurality of alimentary element compatibility data; identify an inflammatory alimentary element as a function of the plurality of alimentary element compatibility data; pair a medical professional with the subject as a function of the inflammatory alimentary element; and display the inflammatory alimentary element using a user interface at a display device.
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