11910results about "Artificial life" patented technology

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Techniques are disclosed for using a combination of explicit and implicit user context modeling techniques to identify and provide appropriate computer actions based on a current context, and to continuously improve the providing of such computer actions. The appropriate computer actions include presentation of appropriate content and functionality. Feedback paths can be used to assist automated machine learning in detecting patterns and generating inferred rules, and improvements from the generated rules can be implemented with or without direct user control. The techniques can be used to enhance software and device functionality, including self-customizing of a model of the user's current context or situation, customizing received themes, predicting appropriate content for presentation or retrieval, self-customizing of software user interfaces, simplifying repetitive tasks or situations, and mentoring of the user to promote desired change.

A mobile robot guest for interacting with a human resident performs a room-traversing search procedure prior to interacting with the resident, and may verbally query whether the resident being sought is present. Upon finding the resident, the mobile robot may facilitate a teleconferencing session with a remote third party, or interact with the resident in a number of ways. For example, the robot may carry on a dialogue with the resident, reinforce compliance with medication or other schedules, etc. In addition, the robot incorporates safety features for preventing collisions with the resident; and the robot may audibly announce and / or visibly indicate its presence in order to avoid becoming a dangerous obstacle. Furthermore, the mobile robot behaves in accordance with an integral privacy policy, such that any sensor recording or transmission must be approved by the resident.

Systems and methods for discovery and classification of denial of service attacks in a distributed computing system may employ local agents on nodes thereof to detect resource-related events. An information later agent may determine if events indicate attacks, perform clustering analysis to determine if they represent known or unknown attack patterns, classify the attacks, and initiate appropriate responses to prevent and / or mitigate the attack, including sending warnings and / or modifying resource pool(s). The information layer agent may consult a knowledge base comprising information associated with known attack patterns, including state-action mappings. An attack tree model and an overlay network (over which detection and / or response messages may be sent) may be constructed for the distributed system. They may be dynamically modified in response to changes in system configuration, state, and / or workload. Reinforcement learning may be applied to the tuning of attack detection and classification techniques and to the identification of appropriate responses.

The present invention provides a highly scalable architecture for a three-dimensional graphical, multi-user, interactive virtual world system. In a preferred embodiment a plurality of users interact in the three-dimensional, computer-generated graphical space where each user executes a client process to view a virtual world from the perspective of that user. The virtual world shows avatars representing the other users who are neighbors of the user viewing the virtual word. In order that the view can be updated to reflect the motion of the remote user's avatars, motion, information is transmitted to a central server process which provides positions updates to client processes for neighbors of the user at that client process. The client process also uses an environment database to determine which background objects to render as well as to limit the movement of the user's avatar.

Methods and systems for determining a suitability for a mobile client to display information are disclosed. For example, a method for determining a suitability for a mobile client to receive a targeted content message includes generating user profile data by the mobile client, receiving a set of target profile data associated with the targeted content message, the set of target profile data being descriptive of the targeted content message, comparing the user profile data with the target set of profile data to produce a set of confidence-level data, a target set of profile data describing the content of a respective targeted-content message, and storing the targeted content message in the mobile client based upon the set of confidence-level data.

System and method for behavior based control of an autonomous vehicle. Actuators (e.g., linkages) manipulate input devices (e.g., articulation controls and drive controls, such as a throttle lever, steering gear, tie rods, throttle, brake, accelerator, or transmission shifter) to direct the operation of the vehicle. Behaviors that characterize the operational mode of the vehicle are associated with the actuators. The behaviors include action sets ranked by priority, and the action sets include alternative actions that the vehicle can take to accomplish its task. The alternative actions are ranked by preference, and an arbiter selects the action to be performed and, optionally, modified.

The invention provides a man-machine interaction method and device based on artificial intelligence and terminal equipment. The man-machine interaction method based on artificial intelligence comprises the steps of receiving multi-modal input signals, wherein the multi-modal input signals comprise voice signals, image signals and / or environment sensor signals input by a user; determining the intention of the user according to the multi-modal input signals; processing the intention of the user and feeding the processing result back to the user. The man-machine interaction method and device based on artificial intelligence and the terminal equipment can achieve the good man-machine interaction function and high-functioning and high-accompany type intelligent man-machine interaction.

A mobile robot guest for interacting with a human resident performs a room-traversing search procedure prior to interacting with the resident, and may verbally query whether the resident being sought is present. Upon finding the resident, the mobile robot may facilitate a teleconferencing session with a remote third party, or interact with the resident in a number of ways. For example, the robot may carry on a dialogue with the resident, reinforce compliance with medication or other schedules, etc. In addition, the robot incorporates safety features for preventing collisions with the resident; and the robot may audibly announce and / or visibly indicate its presence in order to avoid becoming a dangerous obstacle. Furthermore, the mobile robot behaves in accordance with an integral privacy policy, such that any sensor recording or transmission must be approved by the resident.

A control system and method generate torque comments for motion of a target system in response to observations of a source system. Constraints and balance control may be provided for more accurate representation of the motion as replicated by the target system.

A conversation-simulating system facilitates simulating an intelligent conversation with a human user. During operation, the system can receive a user-statement from the user during a simulated conversation, and generates a set of automatic-statements that each responds to the user-statement. The system then determines a set of behavior-characteristics for the user, and computes relevance scores for the automatic-statements based on the behavior-characteristics. Each relevance score indicates an outcome quality that the user is likely to perceive for the automatic-statement as a response to the user-statement. The system selects an automatic-statement that has a highest relevance score from the set of automatic-statements, and provides the selected automatic-statement to the user.

According to one embodiment, a method comprises conducting an analysis for anomalous behavior on application software and generating a video of a display output produced by the application software. The video is to be displayed on an electronic device contemporaneously with display of one or more events detected by the analysis being performed on the application software.

A method for indicating a responding virtual assistant from one of a plurality of virtual assistants is disclosed. The method includes receiving a spoken query from a user of an electronic device. The method includes determining whether the spoken query addresses a particular one of a plurality of virtual assistants on the electronic device. The method includes polling a first set of the virtual assistants with the spoken query in response to the spoken query not addressing a particular one of the plurality of virtual assistants. The method further includes presenting a response to the spoken query with an indicator of a virtual assistant providing the response. An apparatus and computer program product are also disclosed, which perform the method.

Methods and systems for determining a suitability for a mobile client to display information are disclosed. A particular exemplary method includes receiving a plurality of sets of one or more first keywords on a mobile client, each set of first keywords associated with one or more respective first messages, monitoring user interaction of the respective first messages on the mobile client, performing learning operations on the mobile client with the first keywords based on monitored user interaction to estimate a set of keyword interest weights, receiving a set of target keywords associated with a target message, and displaying the target message on the mobile client based on the estimated keyword interest weights.

Among other things, embodiments of the present disclosure provide systems and methods for modifying avatar components of avatar datasets for multiple users, generating avatars based on the datasets, and displaying multiple avatars on a display screen of a graphical user interface.

Systems and methods are provided for training an artificial intelligence system including the use of one or more human subject responses to stimuli as input to the artificial intelligence system. Displays are oriented to the human subjects to present the stimuli to the human subjects. Detectors monitor the reaction of the human subjects to the stimuli, the detectors including at least motion detectors, the detectors providing an output. An analysis system is coupled to receive the output of the detectors, the analysis system provides an output corresponding to whether the reaction of the human subjects was positive or negative. A neural network utilizes the output of the analysis system, generating a positive weighting for training of the neural network when the output of the analysis system was positive, and a negative weighting for training of the neural network when the output of the analysis system was negative.

The present invention provides a highly scalable architecture for a three-dimensional graphical, multi-user, interactive virtual world system. In a preferred embodiment a plurality of users interact in the three-dimensional, computer-generated graphical space where each user executes a client process to view a virtual world from the perspective of that user. The virtual world shows avatars representing the other users who are neighbors of the user viewing the virtual word. In order that the view can be updated to reflect the motion of the remote user's avatars, motion information is transmitted to a central server process which provides positions updates to client processes for neighbors of the user at that client process. The client process also uses an environment database to determine which background objects to render as well as to limit the movement of the user's avatar.

A method and social media platform are provided for hosting social media. A virtual social venue is provided comprising a virtual three-dimensional representation of a structure and a virtual representation of a screen, billboard, window, or other viewing surface within the structure. The viewing surface is operable to host, run and display a widget previously operating within an internet browser.

An exemplary method for using a virtual assistant may include, at an electronic device configured to transmit and receive data, receiving a user request for a service from a virtual assistant; determining at least one task to perform in response to the user request; estimating at least one performance characteristic for completion of the at least one task with the electronic device, based on at least one heuristic; based on the estimating, determining whether to execute the at least one task at the electronic device; in accordance with a determination to execute the at least one task at the electronic device, causing the execution of the at least one task at the electronic device; in accordance with a determination to execute the at least one task outside the electronic device: generating executable code for carrying out the least one task; and transmitting the executable code from the electronic device.

A facial expression recognition system that uses a face detection apparatus realizing efficient learning and high-speed detection processing based on ensemble learning when detecting an area representing a detection target and that is robust against shifts of face position included in images and capable of highly accurate expression recognition, and a learning method for the system, are provided. When learning data to be used by the face detection apparatus by Adaboost, processing to select high-performance weak hypotheses from all weak hypotheses, then generate new weak hypotheses from these high-performance weak hypotheses on the basis of statistical characteristics, and select one weak hypothesis having the highest discrimination performance from these weak hypotheses, is repeated to sequentially generate a weak hypothesis, and a final hypothesis is thus acquired. In detection, using an abort threshold value that has been learned in advance, whether provided data can be obviously judged as a non-face is determined every time one weak hypothesis outputs the result of discrimination. If it can be judged so, processing is aborted. A predetermined Gabor filter is selected from the detected face image by an Adaboost technique, and a support vector for only a feature quantity extracted by the selected filter is learned, thus performing expression recognition.