11843results 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.

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.

We describe a method of reinforcement learning for a subject system having multiple states and actions to move from one state to the next. Training data is generated by operating on the system with a succession of actions and used to train a second neural network. Target values for training the second neural network are derived from a first neural network which is generated by copying weights of the second neural network at intervals.

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 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.

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.

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.

The invention relates to generating a variable virtual world in accordance with user's potential needs. An information processing apparatus includes a processor. The processor causes an image of a first virtual world to be displayed on a display. The first virtual world includes predefined objects and an avatar selected by the user. The avatar is controlled to act in the first virtual world by the user. The processor analyzes the action of the avatar from the position of the avatar relative to the position of the object in the first virtual world to derive a feature of the user and determine a second virtual world including other objects in accordance with the derived feature. The processor causes an image of the second virtual world to be displayed on the display.