公开(公告)号：US11907885B1

公开(公告)日：2024-02-20

申请号：US17894418

申请日：2022-08-24

Applicant: Slate Technologies Inc.

Inventor： Senthil Manickavasgam Kumar

IPC: G06Q10/10 ,  G06Q10/06 ,  G06Q30/02 ,  G06Q30/06 ,  G06Q10/067 ,  G06N20/20 ,  G06Q10/0631

CPC classification number: G06Q10/067 ,  G06N20/20 ,  G06Q10/06315

Abstract: A method for simulating a scenario in a computing environment is described. The method includes determining a user intent of a user from an input received from the user for executing at least one intended task by the user, generating a feature set based on analyzing the user intent, and processing, based on the user intent, at least one data feed received from a database to select at least one plan of action for executing the at least one intended task. At least one plan of action is simulated in a graphical user interface as virtual or augmented reality based on the feature set to enable at least one of responding additionally received input from the user and the at least one intended task is performed according to the user intent.

公开(公告)号：US12159313B1

公开(公告)日：2024-12-03

申请号：US18655141

申请日：2024-05-03

Applicant: Slate Technologies Inc.

Inventor： Senthil Manickavasgam Kumar ,  Trevor Schick ,  Nic Brathwaite ,  Daniel Sullivan ,  Steven Weibach

IPC: G06Q40/06

Abstract: A method for generating computational predictions associated with a real-world entity is disclosed. The method comprises analyzing knowledge from a plurality of data sources; determining investment objectives associated with the real-world entity; applying, a plurality of ensembles of machine learning models to each of the plurality of data sources to conduct a combinatorial analysis of the plurality of data sources; generating, by colonies of Artificial Intelligence (AI) colonizers, intermediary outputs; analyzing the intermediary outputs in a weighted combination to generate weighted outputs; and assembling, by a supervisory algorithm, the weighted outputs based on the investment objectives to generate a computational prediction associated with the real-world entity.

公开(公告)号：US11531943B1

公开(公告)日：2022-12-20

申请号：US17683858

申请日：2022-03-01

Applicant: Slate Technologies Inc.

Inventor： Senthil Manickavasgam Kumar

IPC: G06Q10/06 ,  G06N20/20 ,  G06K9/62 ,  G06Q10/10

Abstract: Techniques to generate a digitally optimized schedule for a construction activity to meet a construction objective(s) of a construction project are disclosed. An artificial intelligence system receives a plurality of input data sets that impact the construction project. Each of the plurality of input data sets is processed to achieve the construction objective(s). The artificial intelligence system processes the plurality of input data sets using a respective ensemble of machine learning models. The artificial intelligence system generates machine learning validated intermediate output data sets corresponding to each of the plurality of input data sets. The artificial intelligence system implements a supervisory machine learning model to generate an optimized schedule for the construction activity based on the machine learning validated intermediate output data sets and the construction objective(s).

公开(公告)号：US11868933B2

公开(公告)日：2024-01-09

申请号：US17984468

申请日：2022-11-10

Applicant: Slate Technologies Inc.

Inventor： Senthil Manickavasgam Kumar

IPC: G06Q10/0631 ,  G06Q10/0633 ,  G06N20/20 ,  G06Q10/10 ,  G06F18/21

CPC classification number: G06Q10/06312 ,  G06F18/217 ,  G06N20/20 ,  G06Q10/0633 ,  G06Q10/103

Abstract: Techniques to generate a digitally optimized schedule for a construction activity to meet a construction objective(s) of a construction project are disclosed. An artificial intelligence system receives a plurality of input data sets that impact the construction project. Each of the plurality of input data sets is processed to achieve the construction objective(s). The artificial intelligence system processes the plurality of input data sets using a respective ensemble of machine learning models. The artificial intelligence system generates machine learning validated intermediate output data sets corresponding to each of the plurality of input data sets. The artificial intelligence system implements a supervisory machine learning model to generate an optimized schedule for the construction activity based on the machine learning validated intermediate output data sets and the construction objective(s).

公开(公告)号：US20230153716A1

公开(公告)日：2023-05-18

申请号：US17984468

申请日：2022-11-10

Applicant: Slate Technologies Inc.

Inventor： Senthil Manickavasgam Kumar

IPC: G06Q10/06 ,  G06Q10/10 ,  G06K9/62 ,  G06N20/20

CPC classification number: G06Q10/06312 ,  G06Q10/103 ,  G06Q10/0633 ,  G06K9/6262 ,  G06N20/20

Abstract: Techniques to generate a digitally optimized schedule for a construction activity to meet a construction objective(s) of a construction project are disclosed. An artificial intelligence system receives a plurality of input data sets that impact the construction project. Each of the plurality of input data sets is processed to achieve the construction objective(s). The artificial intelligence system processes the plurality of input data sets using a respective ensemble of machine learning models. The artificial intelligence system generates machine learning validated intermediate output data sets corresponding to each of the plurality of input data sets. The artificial intelligence system implements a supervisory machine learning model to generate an optimized schedule for the construction activity based on the machine learning validated intermediate output data sets and the construction objective(s).

公开(公告)号：US20240394422A1

公开(公告)日：2024-11-28

申请号：US18672340

申请日：2024-05-23

Applicant: Slate Technologies Inc.

Inventor： Senthil Manickavasagam Kumar

IPC: G06F30/12 ,  G06F30/27 ,  G06F111/18

Abstract: A system for generating virtual representations of architecture, engineering, and construction (AEC) smart constructs is disclosed. The system includes a controller that determines user intent based on an analysis of a user input and further determines project objective constraints based on an evaluation of project objectives. Knowledge units are computed based on a plurality of nodes and a plurality of interdependencies of a computational graph. The plurality of nodes corresponds to the user intent, and the plurality of interdependencies is established based on the project objectives. Based on the knowledge units, computational simulations for the user intent are performed. Further, virtual representations of the AEC smart constructs in a digital environment are generated based on the computational simulations. The computational simulations meet a defined criteria associated with the project objectives.

公开(公告)号：US11868686B2

公开(公告)日：2024-01-09

申请号：US18107653

申请日：2023-02-09

Applicant: Slate Technologies Inc.

Inventor： Senthil Manickavasagam Kumar ,  Daniel Sullivan ,  Joel Hutchines

IPC: G06F30/20 ,  G06F30/12 ,  G06F30/13 ,  G06F30/18

CPC classification number: G06F30/20 ,  G06F30/12 ,  G06F30/13 ,  G06F30/18

Abstract: A method for simulating a product in a computing environment includes analyzing data related to at least constructional representation, determining a requirement of prefabricating at least one custom construction artefact for a construction project based on the analysis of the data, determining at least one of: an intent or at least one objective associated with the at least one custom construction artefact, and enabling simulation of the at least custom construction artefact based on the determination of the intent or the at least one objective to render a digital representation of the product in a graphical user interface.

公开(公告)号：US20230315952A1

公开(公告)日：2023-10-05

申请号：US18116017

申请日：2023-03-01

Applicant: Slate Technologies Inc.

Inventor： Senthil Manickavasagam Kumar

IPC: G06F30/27 ,  G06Q10/10

CPC classification number: G06F30/27 ,  G06Q10/103 ,  G06F2111/04

Abstract: A method for creating a project manifest in a computing environment includes receiving a request related to a project, determining one or more project objectives related to the request, determining a set of constraints for the project, correlating the determined set of constraints with the one or more project objectives, evaluating the correlated set of constraints and the one or more project objectives to generate an optimized model, and creating a project manifest based on the optimized model for executing the project.

公开(公告)号：US20230281358A1

公开(公告)日：2023-09-07

申请号：US18107653

申请日：2023-02-09

Applicant: Slate Technologies Inc.

Inventor： Senthil Manickavasagam Kumar ,  Daniel Sullivan ,  Joel Hutchines

IPC: G06F30/20 ,  G06F30/18 ,  G06F30/13 ,  G06F30/12

CPC classification number: G06F30/20 ,  G06F30/18 ,  G06F30/13 ,  G06F30/12

Abstract: A method for simulating a product in a computing environment includes analyzing data related to at least constructional representation, determining a requirement of prefabricating at least one custom construction artefact for a construction project based on the analysis of the data, determining at least one of: an intent or at least one objective associated with the at least one custom construction artefact, and enabling simulation of the at least custom construction artefact based on the determination of the intent or the at least one objective to render a digital representation of the product in a graphical user interface.