Abstract: Techniques for providing to a user with an anonymous user signature on a message in a distributed decentralized network are presented. The techniques use a hardware security module and a certificate authority. The certificate authority: obtains a credential that includes a certificate for the user, where the certificate includes a user public key and a plurality of user attributes; receives a request for a signature on the message, where the request includes an indication of a subset of the plurality of user attributes to be revealed; accesses from the hardware security module a user secret key; and provides to the user at least the message signed by the user secret key and a zero-knowledge proof that establishes that the message is signed by the user secret key corresponding to the user public key in the credential without revealing the plurality of user attributes.

Abstract: A device may receive, in near-real time, unstructured data associated with an application or a system, and may extract textual data from the unstructured data. The device may parse the textual data to generate parsed textual data, and may perform natural language processing on the parsed textual data to generate processed textual data. The device may process the processed textual data, with a clustering model, to identify topical data associated with the processed textual data, and may process the topical data, with a classification model, to group the topical data into categories. The device may generate a knowledge graph based on the categories, and may store the knowledge graph in a data structure. The knowledge graph may enable the device to provide answers to questions associated with the application or the system.

Abstract: Techniques for providing to a user with an anonymous user signature on a message in a distributed decentralized network are presented. The techniques use a hardware security module and a certificate authority. The certificate authority: obtains a credential that includes a certificate for the user, where the certificate includes a user public key and a plurality of user attributes; receives a request for a signature on the message, where the request includes an indication of a subset of the plurality of user attributes to be revealed; accesses from the hardware security module a user secret key; and provides to the user at least the message signed by the user secret key and a zero-knowledge proof that establishes that the message is signed by the user secret key corresponding to the user public key in the credential without revealing the plurality of user attributes.

Abstract: Techniques for providing to a user with an anonymous user signature on a message in a distributed decentralized network are presented. The techniques use a hardware security module and a certificate authority. The certificate authority: obtains a credential that includes a certificate for the user, where the certificate includes a user public key and a plurality of user attributes; receives a request for a signature on the message, where the request includes an indication of a subset of the plurality of user attributes to be revealed; accesses from the hardware security module a user secret key; and provides to the user at least the message signed by the user secret key and a zero-knowledge proof that establishes that the message is signed by the user secret key corresponding to the user public key in the credential without revealing the plurality of user attributes.

Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.

Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.

Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.

Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.

Abstract: Techniques for providing to a user with an anonymous user signature on a message in a distributed decentralized network are presented. The techniques use a hardware security module and a certificate authority. The certificate authority: obtains a credential that includes a certificate for the user, where the certificate includes a user public key and a plurality of user attributes; receives a request for a signature on the message, where the request includes an indication of a subset of the plurality of user attributes to be revealed; accesses from the hardware security module a user secret key; and provides to the user at least the message signed by the user secret key and a zero-knowledge proof that establishes that the message is signed by the user secret key corresponding to the user public key in the credential without revealing the plurality of user attributes.

Abstract: A device may receive, in near-real time, unstructured data associated with an application or a system, and may extract textual data from the unstructured data. The device may parse the textual data to generate parsed textual data, and may perform natural language processing on the parsed textual data to generate processed textual data. The device may process the processed textual data, with a clustering model, to identify topical data associated with the processed textual data, and may process the topical data, with a classification model, to group the topical data into categories. The device may generate a knowledge graph based on the categories, and may store the knowledge graph in a data structure. The knowledge graph may enable the device to provide answers to questions associated with the application or the system.

Abstract: Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.