System and method for providing artificial intelligence architectures to people with disabilities

    公开(公告)号:US11645733B2

    公开(公告)日:2023-05-09

    申请号:US16902568

    申请日:2020-06-16

    摘要: A system is configured for converting an unstandardized architecture diagram into a braille language diagram is disclosed. The system receives the unstandardized architecture diagram which includes a plurality of architecture components. The system receives a standardized model that includes features to depict the architecture components of the unstandardized architecture diagram in a standard format. The system determines the architecture components, their connections, and their sequences from the unstandardized architecture diagram. The system determines the features to depict the architecture components of the unstandardized architecture diagram in the standard format. The system applies the identified features on the identified architecture components in the unstandardized architecture diagram. The system determines a standardized graphical representation of the unstandardized architecture diagram. The system converts the standardized graphical representation of the unstandardized architecture diagram into a braille language diagram.

    System for dynamic generation of a transmission interface bridge for computing platforms

    公开(公告)号:US11593450B2

    公开(公告)日:2023-02-28

    申请号:US16886994

    申请日:2020-05-29

    摘要: Systems, computer program products, and methods are described herein for system for dynamic generation of a transmission interface bridge for computing platforms. The present invention is configured to retrieve information associated with a first user interface associated with a first computing device; initiate a GCN algorithm on the first user interface; generate a graphical representation of the first user interface; transform the graphical representation of the first user interface into one or more code blocks associated with HTML and/or CSS; load the one or more code blocks on a cross-platform GUI platform logic; initiate an embedding of the cross-platform GUI platform with an emulator high level language application programming interface (EHLLAPI) to emulate the first user interface by superimposing the second user interface over the first user interface; transmit control signals configured to cause a second computing device to display, using the cross-platform GUI platform logic, the second user interface.

    Intelligent recognition and extraction of numerical data from non-numerical graphical representations

    公开(公告)号:US11557107B2

    公开(公告)日:2023-01-17

    申请号:US16238240

    申请日:2019-01-02

    摘要: Embodiments of the invention are directed to systems, methods, and computer program products for a unique platform for analyzing, classifying, extracting, and processing information from graphical representations. Embodiments of the inventions are configured to provide an end to end automated solution for extracting data from graphical representations and creating a centralized database for providing graphical attributes, image skeletons, and other metadata information integrated with a graphical representation classification training layer. The invention is designed to receive a graphical representation for analysis, intelligently identify and extract objects and data in the graphical representation, and store the data attributes of the graphical representation in an accessible format in an automated fashion.

    System for preserving image and acoustic sensitivity using reinforcement learning

    公开(公告)号:US11551448B2

    公开(公告)日:2023-01-10

    申请号:US17060124

    申请日:2020-10-01

    摘要: Systems, computer program products, and methods are described herein for preserving image and acoustic sensitivity using reinforcement learning. The present invention is configured to initiate a file editing engine on the audiovisual file to separate the audiovisual file into a video component and an audio component; initiate a convolutional neural network (CNN) algorithm on the video component to identify one or more sensitive portions in the one or more image frames; initiate an audio word2vec algorithm on the audio component to identify one or more sensitive portions in the audio component; initiate a masking algorithm on the one or more image frames and the audio component; generate a masked video component and a masked audio component based on at least implementing the masking action policy; and bind, using the file editing engine, the masked video component and the masked audio component to generate a masked audiovisual file.

    Intelligent server migration platform

    公开(公告)号:US11546415B2

    公开(公告)日:2023-01-03

    申请号:US16919170

    申请日:2020-07-02

    摘要: Systems, methods and apparatus are provided for an intelligent server platform using genetic algorithms to execute a server migration based on fitness. The platform may locate hardware and software artifacts and map functional relationships between artifacts. Artifacts may be clustered based on interdependency to ensure that functionally related artifacts are migrated as a unit. The platform may apply a fitness protocol to generate a fitness score for each cluster and select clusters based on fitness score. The platform may apply a crossover protocol to optimize selected clusters for compliance with enterprise standards. The platform may iterate through the crossover protocol and modify a convergence goal based on populations of successive generations. The platform may rank artifacts and generate a protocol for migration. The platform may execute the migration in accordance with the migration protocol.

    Electronic system for management of image processing models

    公开(公告)号:US11481633B2

    公开(公告)日:2022-10-25

    申请号:US16531833

    申请日:2019-08-05

    摘要: Embodiments of the invention are directed to systems, methods, and computer program products for an electronic system for management of image processing model database. The system is configured for versioning machine-learning neural-network based image processing models and identifying and tracking mutations in hyper parameters amongst versions of image processing models. The system is configured to determine that a second image processing model is a version of a first image processing model. The system is further configured to map the mutations in hyper parameters between the first plurality of hyper parameters of the first image processing model and the second plurality of hyper parameters associated with the second image processing model.