Abstract: Systems, methods and non-transitory computer readable media for generating and operating artificial entities are provided. Some disclosed embodiments may involve receiving information related to a source individual; generating an artificial entity associated with the source individual based on the received information; receiving data reflecting an interaction with the artificial entity; and determining a manner for the artificial entity to respond to the interaction based on the collected information.

Abstract: Systems, methods and non-transitory computer readable media for generation of user interfaces from free text are provided. In some examples, an input in a natural language may be received. The input may be associated with a desire of an individual to create a new user interface. Further, a particular design style may be determined. The input in the natural language may be analyzed to obtain at least two user interface elements based on the particular design style. The input in the natural language may be analyzed to obtain a layout for the at least two user interface elements. A particular draft of the new user interface that includes the at least two user interface elements may be generated based on the layout. The particular draft of the new user interface may be presented to the individual.

Abstract: Systems, methods and non-transitory computer readable media for generating personalized videos from textual information are provided. An indication of a preference of a user is obtained. Further, textual information for generating a personalized video is obtained from the user. At least one characteristic of a character is selected based on the preference of the user. An artificial neural network, the textual information and the selected at least one characteristic of the character is used to generate the personalized video depicting the character with the selected at least one characteristic.

Abstract: Systems, methods and non-transitory computer readable media for generating media streams are provided. The generation of the media streams involves receiving an input media stream including an individual speaking in a first language; determining from the input media stream a set of speech-related characteristics associated with the individual; generating, using the set of speech-related characteristics associated with the individual, a synthesized voice for the individual; and producing an output media stream comprising for each set of words spoken by the individual in the first language in the input media stream a translation set of words in a target language using the synthesized voice.

Abstract: Systems, methods and non-transitory computer readable media for learning to personalize user interfaces are provided. A plurality of historic digital experience records may be accessed, each may be associated with an historic digital experience of a respective individual with a respective user interface and may associate a characteristic of the respective individual with a design of the respective user interface and a respective level of success. The plurality of records may be analyzed to determine a mathematical mapping of individuals to a mathematical space. Digital data associated with an individual may be analyzed using the mathematical mapping to identify a mathematical object. The mathematical object may be used to generate a version of a design of a particular user interface. Digital signals may be transmitted to a computing device associated with the individual to cause it to present the particular user interface based on the version of the design.

Abstract: Systems, methods and non-transitory computer readable media for processing audio and visually presenting information are provided. Audio data may be obtained. The audio data may be analyzed to obtain textual information. The audio data may be analyzed to associate different portions of the textual information with different speakers. Each portion of the textual information may be presented in a presentation region associated with the speaker associated with the portion of the textual information. The audio data may be analyzed to identify a nonverbal sound. A textual description of the nonverbal sound may be generated.

Abstract: Systems, methods and non-transitory computer readable media for generating personalized videos with selective replacement of characters are provided. An input video including at least a depiction of two or more persons may be obtained. A personalized profile associated with a user may be obtained. The input video may be analyzed to determine at least one property for each person of a group of at least two persons of the two or more persons depicted in the input video. The personalized profile and the determined properties may be used to select a first person of the group of at least two persons, where the group of at least two persons also includes a second person. The input video may be used to generate an output video including the depiction of the second person and a depiction of an avatar replacing at least part of the depiction of the first person.

Abstract: Systems, methods and non-transitory computer readable media for generation of user interfaces from free text are provided. In some examples, a textual input in a natural language and/or a sketch may be received. The textual input and/or the sketch may be associated with a desire of an individual to create a new user interface. Further, the textual input and/or the sketch may be analyzed to obtain at least two user interface elements. Further, the textual and/or the sketch input may be analyzed to obtain a layout for the at least two user interface elements. Further, a particular draft of the new user interface that includes the at least two user interface elements based on the layout may be generated. Further, the particular draft of the new user interface may be presented to the individual in a form that enables the individual to modify the new user interface.

Abstract: Systems, methods and non-transitory computer readable media for generating personalized videos from textual information are provided. An indication of a preference of a user is obtained. Further, textual information for generating a personalized video is obtained from the user. At least one characteristic of a character is selected based on the preference of the user. An artificial neural network, the textual information and the selected at least one characteristic of the character is used to generate the personalized video depicting the character with the selected at least one characteristic.

Abstract: Systems, methods and non-transitory computer readable media for artificially generating translated media streams are provided. A media stream of an individual speaking in an origin language may be received. The individual may be associated with a particular voice. The received media stream may be analyzed to determine characteristics of the particular voice of the individual. A synthesized voice may be determined based on the determined characteristics of the particular voice of the individual. The synthesized voice may sound substantially identical to the particular voice. A translated media stream that includes, for each word spoken in the origin language in the media stream, a respective at least one word in the target language articulated using the synthesized voice, may be generated.

Abstract: Systems, methods and non-transitory computer readable media for processing audio and visually presenting information are provided. Audio data captured from an environment of a wearer of a wearable apparatus may be obtained. The audio data may be analyzed to obtain textual information. The audio data may be analyzed to associate different portions of the textual information with different speakers. A head mounted display system may be used to present each portion of the textual information in a presentation region associated with the speaker associated with the portion of the textual information. In one example, it may be determined that a part of the textual information is associated with speech that do not involve the user, and presenting the part may be avoided. In one example, a part of the textual information may be associated with speech produced by a user, and presenting the part may be avoided.

Abstract: Systems, methods and non-transitory computer readable media for learning to personalize user interfaces are provided. A plurality of historic digital experience records may be accessed, each may be associated with an historic digital experience of a respective individual with a respective user interface and may associate a characteristic of the respective individual with a design of the respective user interface and a respective level of success. The plurality of records may be analyzed to determine a mathematical mapping of individuals to a mathematical space. Digital data associated with an individual may be analyzed using the mathematical mapping to identify a mathematical object. The mathematical object may be used to generate a version of a design of a particular user interface. Digital signals may be transmitted to a computing device associated with the individual to cause it to present the particular user interface based on the version of the design.

Abstract: Systems, methods and non-transitory computer readable media for personalizing robotic interactions are provided. For example, a digital data record associated with a relation between a specific digital character and a particular character may be accessed. Further, an input in a natural language may be received from the particular character. Further, a conversational artificial intelligence model may be used to analyze the digital data record and the input to determine a desired movement for a specific portion of a specific body. The specific body may be associated with the specific digital character. Further, digital signals may be generated. The digital signals may be configured to cause the specific portion of the specific body to undergo the desired movement during an interaction of the specific digital character with the particular character.

Abstract: Systems, methods and non-transitory computer readable media for audio analysis for media content generation are provided. For example, a conversational artificial intelligence model may be accessed. Further, audio data may be received. The audio data may include an input from an entity in a natural language. The input may include at least a first part and a second part. The first part may be associated with a first at least one suprasegmental feature, and the second part may be associated with a second at least one suprasegmental feature. Further, the conversational artificial intelligence model may be used to analyze the audio data to generate a media content. The media content may be based on the first at least one suprasegmental feature and the second at least one suprasegmental feature. Further, the media content may be used in a communication with the entity.

Abstract: Systems, methods and non-transitory computer readable media for generating and operating artificial entities are provided. Some disclosed embodiments may involve receiving information related to a source individual; generating an artificial entity associated with the source individual based on the received information; receiving data reflecting an interaction with the artificial entity; and determining a manner for the artificial entity to respond to the interaction based on the collected information.

Abstract: Systems, methods and non-transitory computer readable media for generating personalized videos from textual information are provided. An indication of a preference of a user is obtained. Further, textual information for generating a personalized video is obtained from the user. At least one characteristic of a character is selected based on the preference of the user. An artificial neural network, the textual information and the selected at least one characteristic of the character is used to generate the personalized video depicting the character with the selected at least one characteristic.

Abstract: Systems, methods and non-transitory computer readable media for image analysis for personal interaction are provided. Audio data may be received. The audio data may include an input from an entity in a natural language. The input may include at least a first part and a second part. Further, image data may be received. The image data may depict a particular movement. The particular movement may be a movement of a particular portion of a particular body. The particular movement and the first part may be concurrent. The particular body may be associated with the entity. Further, a conversational artificial intelligence model may be used to analyze the audio data and the image data to generate a response in the natural language to the input. The response may be based on the input and the particular movement. Further, the generated response may be provided to the entity.

Abstract: Systems, methods and non-transitory computer readable media for artificially generating translated media streams are provided. A media stream of an individual speaking in an origin language may be received. The individual may be associated with a particular voice. The received media stream may be analyzed to determine characteristics of the particular voice of the individual. A synthesized voice may be determined based on the determined characteristics of the particular voice of the individual. The synthesized voice may sound substantially identical to the particular voice. A translated media stream that includes, for each word spoken in the origin language in the media stream, a respective at least one word in the target language articulated using the synthesized voice, may be generated.

Abstract: Systems, methods and non-transitory computer readable media for generating dialogs for narrative works of art are provided. A trigger for generating a textual content of a dialog between a first character and a second character for a narrative work of art may be received. Contextual information associated with the dialog, first information associated with the first character, and second information associated with the second character may be received. The contextual information and the first information may be analyzed to generate a first portion of the dialog associated with the first character. The contextual information, the second information and the first portion of the dialog may be analyzed to generate a second portion of the dialog associated with the second character. The contextual information, the first information, the first portion and the second portion may be analyzed to generate a third portion of the dialog associated with the first character.

Abstract: Systems, methods and non-transitory computer readable media for facilitating visual formatting of text through natural language are provided. A textual content in a natural language may be presented in an initial visual format. A selection of a first portion of the textual content may be received. A first and second textual inputs in the natural language may be received. The first textual input may be analyzed to select a first visual format. The second textual input may be analyzed to select a second portion of the textual content and a second visual format. The presentation of the textual content may be altered. In the altered presentation, the first portion may be presented in the first visual format, the second portion may be presented in the second visual format, and a third portion of the textual content may be presented in the initial visual format.