Some embodiments of the present disclosure relate to systems, devices, and methods for making recommendations to users for, individually or together, goods, services, and information/media (e.g., audio, video, publications), as well as verifying the veracity of data/information, based upon an emotional impact of such goods/services and/or media/information on the user, other users, and/or other individuals, as well some embodiments directed to systems, devices, and methods for treating one or more brain functions, including neurological conditions and episodes associated therewith by determining (and optionally providing) media (e.g., audio, but in some embodiments, any of audio, textual information, and video), which may be referred to as optimal medical media (“OMM”).

Some embodiments of the present disclosure relate to systems, devices, and methods for making recommendations to users for, individually or together, goods, services, and information/media (e.g., audio, video, publications), as well as verifying the veracity of data/information, based upon an emotional impact of such goods/services and/or media/information on the user, other users, and/or other individuals, as well some embodiments directed to systems, devices, and methods for treating one or more brain functions, including neurological conditions and episodes associated therewith by determining (and optionally providing) media (e.g., audio, but in some embodiments, any of audio, textual information, and video), which may be referred to as optimal medical media (“OMM”).

The present invention relates to a computer implemented system for animating a virtual object or digital entity. It has particular relevance to animation using biologically based models, or behavioural models particularly neurobehavioural models. There is provided a plurality of modules having a computational element and a graphical element. The modules are arranged in a required structure and have at least one variable and being associated with at least one connector. The connectors link variables between modules across the structure, and the modules together provide a neurobehavioural model. There is also provided a method of controlling a digital entity in response to an external stimulus.

A refrigerator comprises a storage compartment configured to store food, a temperature detector configured to detect an internal temperature of the storage compartment, a cooler configured to supply cool air to the storage compartment, a microphone configured to receive a speech, a display configured to display information, at least one processor configured to be electrically connected to the temperature detector, the microphone, and the display; and a memory configured to be electrically connected to the at least one processor. The memory stores at least one instructions configured to, when a first speech including a food name is recognized via the microphone, allow the processor to display a food list, which comprises food information corresponding to the food name and an identification mark identifying the food information, on the display, and configured to, when a second speech referring to the identification mark is recognized via the microphone, allow the processor to display food purchase information corresponding to the identification mark, on the display.

Embodiments of the present disclosure are directed to a method and an apparatus for generating training data for a visual question answering (VQA) system, and a computer readable medium. The method for generating training data for a visual question answering system includes: obtaining a first set of training data of the visual question answering system, the first set of training data comprising a first question for an image in the visual question answering system and a first answer corresponding to the first question; obtaining information related to the image; generating a second question corresponding to the first answer based on the information to obtain a second set of training data for the image in the visual question answering system, the second set of training data comprising the second question and the first answer.

An automated robot design pipeline facilitates the overall process of designing robots that perform various desired behaviors. The disclosed pipeline includes four stages. In the first stage, a generative engine samples a design space to generate a large number of robot designs. In the second stage, a metric engine generates behavioral metrics indicating a degree to which each robot design performs the desired behaviors. In the third stage, a mapping engine generates a behavior predictor that can predict the behavioral metrics for any given robot design. In the fourth stage, a design engine generates a graphical user interface (GUI) that guides the user in performing behavior-driven design of a robot. One advantage of the disclosed approach is that the user need not have specialized skills in either graphic design or programming to generate designs for robots that perform specific behaviors or express various emotions.

Provided is a method for controlling privileges for an intelligent industrial assistant. The method may include receiving a first input from a user. The first input may include a first natural language input and first biometric data. An identity of the user may be determined based on the first biometric data. A role associated with the user may be determined based on the identity of the user. A request of the user may be determined based on the natural language input. The request may be associated with at least one acceptable role. A determination may be made whether the role associated with the user matches at least one of the acceptable role(s). A system and computer program product are also disclosed.

A system for training a neurome that emulates a brain of a user comprises a non-invasive brain interface assembly configured for detecting neural activity of the user in response to analog instances of a plurality of stimuli peripherally input into the brain of the user from at least one source of content, memory configured for storing a neurome configured for outputting a plurality of determined brain states of an avatar in response to inputs of the digital instances of the plurality of stimuli, and a neurome training processor configured for determining a plurality of brain states of the user based on the detected neural activity of the user, and modifying the neurome based on the plurality of determined brain states of the user and the plurality of determined brain states of the avatar.

A system for training a neurome that emulates a brain of a user comprises a non-invasive brain interface assembly configured for detecting neural activity of the user in response to analog instances of a plurality of stimuli peripherally input into the brain of the user from at least one source of content, memory configured for storing a neurome configured for outputting a plurality of determined brain states of an avatar in response to inputs of the digital instances of the plurality of stimuli, and a neurome training processor configured for determining a plurality of brain states of the user based on the detected neural activity of the user, and modifying the neurome based on the plurality of determined brain states of the user and the plurality of determined brain states of the avatar.

Systems and methods for both technical and non-technical users to create content for interactive synthetic characters are provided. In some embodiments, a conversation editor may be configured to create a traversable script for an interactive synthetic character by receiving a set of conversation rules from a user. These rules can be used to match certain words or phrases that a user speaks or types, or to monitor for a physical movement of the user or synthetic character. Each conversation rule can include responses to be performed by the interactive synthetic character. The responses can include, for example, producing audible or textual speech for the synthetic character, performing one or more animations, playing one or more sound effects, retrieving data from one or more data sources, and the like. A traversable script can be generated from the set of conversation rules that when executed by the synthetic character allows for the dynamic interactions. In some embodiments, the traversable script can be navigated by a state engine using one or more navigational directives associated with the conversation rules.