Abstract: Systems, methods, articles of manufacture, and computer program products to: train a prediction model using a machine learning process, the prediction model configured to estimate whether further application of a hyperparameter tuning technique will cause an improvement in at least one of the hyperparameters; select the hyperparameters using the tuning technique; apply the prediction model to determine if further adjustment of the hyperparameters is likely to improve the success metric; and terminate the tuning technique when: accuracy of the prediction model in predicting improvement in a hyperparameter is above a predetermined accuracy threshold, and the prediction model predicts that further application of the tuning technique will not result in an improvement to the hyperparameter; or the accuracy of the prediction model in predicting improvement in the parameter is below the predetermined accuracy threshold, and an accuracy of hyperparameter adjustment is determined to be below a predetermined adjustment

Abstract: The disclosed methods may receive a first request for access to a first system memory from a new user and a first justification, the first request includes first role information and first current access information of the new user, determine whether the first request is within a request cluster based on first role history information and current access history information. When the first request is within the request cluster, generate a matrix from the first role information and the first current access information, and determine using a first neural network, whether to grant the first request based on the matrix. When the first request is granted by the first neural network, determine, using a second neural network, whether the first justification is similar to first justification history information. When the first justification is similar to the first justification history information, grant the new user access to the first system memory.

Abstract: Disclosed embodiments may include a system for generating custom content. The system may generate a first webpage comprising first feature(s). The system may transmit the first webpage for display via a graphical user interface (GUI) of a user device. The system may iteratively, until a predetermined threshold is achieved: receive data corresponding to a first user; generate, by an encoder, encoded data based on the data; generate, by a decoder, second feature(s) based on the encoded data; modify the first webpage to generate a second webpage comprising the second feature(s); transmit the second webpage for display via the GUI of the user device; receive user feedback associated with the second webpage; and determine whether the user feedback exceeds the predetermined threshold. Responsive to the predetermined threshold being achieved, the system may transmit the latest version of the second webpage without requesting additional user feedback.

Abstract: Exemplary embodiments may provide an approach to converting multidimensional color data for an image encoded in a first color space into an intermediate form that is a single dimensional value. The exemplary embodiments may then decode the intermediate form value to produce an encoding of the color data that is encoded in a second color space that differs from the first color space. In this manner, the data for the image may be efficiently converted from an encoding in the first color space into an encoding in the second color space.

Abstract: Techniques to improve detection and security of images, including formation and detection of matrix-based images. A histogram may be used to determine a most prevalent plurality of colors associated with an environment. A related plurality of colors may be determined based on the most prevalent plurality of colors. A matrix barcode may be generated based on the related plurality of colors.

Abstract: System and devices for live captioning events is disclosed. The system may receive event calendar data and a first plurality of caption files and preselect a first caption file based on the event calendar data. The system may then access an audiovisual recorder of a user device, and receive a first feedback from the recorder. The system may then determine whether the first caption file matches the first feedback. When there is a match, the system may determine a first synchronization between the caption file and the feedback. When there is no match, the system may determine if there is a match with a second caption file of the first plurality of caption files and determine a second synchronization. When the second caption file does not match, the system may receive at least a third caption file over a mobile network and determine a third synchronization for display.

Abstract: Disclosed embodiments include systems and methods for providing a secure physical storage system. The system may receive a request to register a first physical storage box from an entity including location information and security information. The request can be validated by comparing the security information to a predetermined security threshold. The location information associated with the first physical storage box can be recorded to a blockchain. The first registration information can be received from a first user device. The first physical storage box can be assigned to the first user device and a first identity token associated with the first physical storage box. The assignment information associated with the first physical storage box can be recorded to the blockchain. A first identity token can be received from the first user device. Instructions can be transmitted to the first physical storage box to transition from a locked to an unlocked state.

Abstract: Disclosed embodiments may include a system for generating custom content. The system may generate a first webpage comprising first feature(s). The system may transmit the first webpage for display via a graphical user interface (GUI) of a user device. The system may iteratively, until a predetermined threshold is achieved: receive data corresponding to a first user; generate, by an encoder, encoded data based on the data; generate, by a decoder, second feature(s) based on the encoded data; modify the first webpage to generate a second webpage comprising the second feature(s); transmit the second webpage for display via the GUI of the user device; receive user feedback associated with the second webpage; and determine whether the user feedback exceeds the predetermined threshold. Responsive to the predetermined threshold being achieved, the system may transmit the latest version of the second webpage without requesting additional user feedback.

Abstract: Various embodiments are directed to a system that utilizes regular expression (regex) to recognize at least portions of characters, words, text, numbers, etc. in a structured or unstructured dataset, any patterns associated therewith, and/or similarities between the determined patterns. In examples, a regex-based pattern recognition platform may receive a dataset and determine whether at least a first regex pattern and a second regex pattern can be identified. The occurrences of the first and second regex patterns and the frequency of those occurrences may reveal something about the dataset itself or any patterns contained therein.

Abstract: Various embodiments are generally directed to techniques for embedding a data object into a multidimensional frame, such as for training an autoencoder to generate latent space representations of the data object based on the multidimensional frame, for instance. Additionally, in one or more embodiments latent space representations of data objects may be classified, such as with a machine learning algorithm. Some embodiments are particularly directed to embedding a data object comprising a plurality of object entries into a three-dimensional (3D) frame.

Abstract: Disclosed are examples for providing functions to receive a media file to be stored in a media repository. In the examples, a location in the media repository may be assigned to the media file. A media file address in a blockchain platform may be assigned to the media file. Metadata including the assigned location in the media repository and the assigned media file address in the blockchain platform may be added to the media file. A media file hash value may be generated by applying a hash function to the media file including the metadata. The media file hash value may be included in a message and uploaded to the assigned media file address in the blockchain platform as a transaction in the blockchain. An indication that the media file is uploaded to the media repository may be delivered to a subscriber device from which the media file was received.

Abstract: Techniques to improve operation of an augmented reality device and/or system utilizing fiducial markers and/or color space conversions are provided. In various embodiments, a color space of an object is altered based on a movement of the object in relation to an environment. The environment may include two or more segments with a distinct environment color space in relation to one another. The object may transition from one of the two or more environment segments into the other one of the two or more segments. The alteration is based on the transition from the color space of the one of the two or more environment segments into the other one of the two or more environment segments.

Abstract: Disclosed are examples for adjusting screen brightness based on screen content being presented on a display screen of a mobile device. The described examples may determine a time at which the screen content is to be evaluated. The screen content is categorized based on the evaluation. A category of the screen content may be input into a machine learning algorithm that may be used to determine whether a screen brightness adjustment is appropriate. If a screen brightness adjustment is appropriate, a degree of the screen brightness adjustment may be determined.

Abstract: Logic may assign a customer identification to a model to associate a first customer with the model to detect fraudulent transactions. Logic may determine one or more clusters to associate with the first customer based on characteristics associated with the first customer. Logic may associate one or more cluster identifications with the first customer. Each cluster identification may identify one cluster of the one or more clusters. Each cluster may identify a group of customers based on characteristics associated with the group of customers. Logic may cause the model to transmit to a customer device associated with the first customer. Logic may receive transaction data for a transaction for one customer of the group of customers associated with a first cluster. And logic may communicate modified transaction data to customer devices of more than one customer of the group of customers associated with the first cluster.

Abstract: Techniques to improve detection and security of images, including formation and detection of matrix-based images. Some techniques include logic to process image data, generate one or more colorspaces associated with that data, and perform colorspace conversions based on the generated colorspace. The logic may be further configured to generate an image based on the colorspace conversions, including but not limited to a matrix bar code. The logic may be further configured to apply one or both of an ultraviolet layer and an infrared layer to the image, e.g. matrix barcode, generated from the colorspace conversion(s). Other embodiments are described and claimed.

Abstract: Exemplary embodiments may use word embeddings to enhance scanning of programming code scripts for sensitive subject matter, such as confidential subject matter. The scanning may be performed by a neural network in some exemplary embodiments. The neural network initially may be trained on a corpus of programming code scripts to identify keywords relating to sensitive subject matter, such as passwords, tokens or credentials. The neural network may not only identify instances of the keywords but also may identify related terms as well. The output of the scan may be a ranked list of terms in the programming code script that may relate to sensitive subject matter.

Abstract: Techniques for providing a real-time service that protects personal data of clients from customer service agents are provided. Customer data that includes personal data indicative of sensitive information of a customer can be received from the customer. The personal data within the received customer data can be detected and a token that does not include the sensitive information of the customer can be generated. The personal data and the generated token can be stored along with data indicating a relationship between the token and the personal data. The personal data in the received customer data can be replaced by the token to form modified customer data. The modified customer data can be provided to a customer service representative. The token within the modified customer data can later be detected and associated with the personal data without revealing the personal data to the customer service representative.

Abstract: A non-transitory computer-readable storage medium storing computer-readable program code executable by a processor to receive a transaction request from a user interface, and receive a user-identifier from the user interface, and the user-identifier associated with a user. The program code may be executable to send a first non-audible sound signal to initiate a multifactor authentication process during a first interval, and send a second non-audible sound signal during a second interval, where the second non-audible sound signal comprises a predetermined frequency pattern, associated with the user. The program code may also be executable to receive a third non-audible sound signal, where the third non-audible sound signal, at least in part, is utilized to determine whether to complete the transaction request or not. The first non-audible sound signal, the second non-audible sound signal, and the third non-audible sound signal may comprise a frequency greater than 15 kHz.

Abstract: Systems and methods for dynamically concealing sensitive information in a shared screen session of a video conference are disclosed. The system may establish communication with one or more computing devices active in a video conference in which each computing device may switch between a screen share mode and a video mode. The system may determine that one or more articles of sensitive information are visible in a graphical user interface associated with a first computing device of the plurality of computing devices. The system may receive a first signal from the first computing device that indicates a first intent of a host associated with the first computing device to switch the screen share mode which includes sharing the first graphical user interface with the one or more computing devices during the video conference. In response to the first signal, the system may execute one or more privacy actions.

Abstract: Various embodiments are generally directed to provide a semi-local authentication scheme. A server can transmit one or more encryption mechanisms to a user device, which in turn can transmit the encrypted mechanisms to one or more secondary devices associated with the user device, where the user device and the secondary devices share a local connection. The secondary devices can transmit the one or more encrypted mechanism utilizing one or more one or more decryption mechanisms supplied by the server, and then transmit the result of the decryption, e.g. decrypted codes, back to the user device, which in turn can then transmit a final decrypted code or codes to the server. Upon confirming receipt of the decryption from the user device, the server can authorize access (via the user device) to one or more devices, networks, applications, and/or components.