Abstract: Refined searching based on detected object configurations is provided by training a machine learning model to identify non-naturally occurring object configurations, acquiring images of an initial search area based on scanning it using a camera-equipped autonomous aerial vehicle operating in accordance with an initial automated flight plan defining the initial search area, analyzing the acquired images using the trained machine learning model and identifying that an object configuration is a non-naturally occurring object configuration, then based on identifying the non-naturally occurring object configuration, refining the initial automated flight plan to obtain a modified automated flight plan defining a different search area as compared to the initial search area, and initiating autonomous aerial scanning of the different search area in accordance with the modified automated flight plan.

Abstract: Embodiments for managing virtual assistants are described. Information associated with a user in an internet of things (IoT) device environment having a plurality of IoT devices is received. A request from the user is received. In response to the receiving of the request, a first portion of a response to the request is caused to be rendered utilizing a first of the plurality of IoT devices. Movement of the user within the IoT device environment is detected. In response to the detecting of the movement of the user, a second portion of the response to the request is caused to be rendered utilizing a second of the plurality of IoT devices based on said detected movement of the user and said received information about the user.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for performing a validation of authentication credentials from a user. The method includes one or more processors receiving authentication credentials input in an authentication session, the authentication credentials including a username and a password. The method further includes one or more processors generating a hash of the password of the received authentication credentials. In response to determining that the received authentication credentials are not valid, the method further includes one or more processors determining whether the generated hash of the password matches a stored hash associated with the username of the received authentication credentials.

Abstract: Refined searching based on detected object configurations is provided by training a machine learning model to identify non-naturally occurring object configurations, acquiring images of an initial search area based on scanning it using a camera-equipped autonomous aerial vehicle operating in accordance with an initial automated flight plan defining the initial search area, analyzing the acquired images using the trained machine learning model and identifying that an object configuration is a non-naturally occurring object configuration, then based on identifying the non-naturally occurring object configuration, refining the initial automated flight plan to obtain a modified automated flight plan defining a different search area as compared to the initial search area, and initiating autonomous aerial scanning of the different search area in accordance with the modified automated flight plan.

Abstract: Aspects of the present invention disclose a method, computer program product, and system for performing a validation of authentication credentials from a user. The method includes one or more processors receiving authentication credentials input in an authentication session, the authentication credentials including a username and a password. The method further includes one or more processors generating a hash of the password of the received authentication credentials. In response to determining that the received authentication credentials are not valid, the method further includes one or more processors determining whether the generated hash of the password matches a stored hash associated with the username of the received authentication credentials.

Abstract: Embodiments for managing virtual assistants are described. Information associated with a user in an internet of things (IoT) device environment having a plurality of IoT devices is received. A request from the user is received. In response to the receiving of the request, a first portion of a response to the request is caused to be rendered utilizing a first of the plurality of IoT devices. Movement of the user within the IoT device environment is detected. In response to the detecting of the movement of the user, a second portion of the response to the request is caused to be rendered utilizing a second of the plurality of IoT devices based on said detected movement of the user and said received information about the user.