1396 results about "Artificial Intelligence System" patented technology

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.

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 method of generating a pseudo-3D user-adapted avatar by using artificial intelligence based on a method of converting a 2D image to the pseudo-3D image having visual and partial functions of a 3D model, and a method of performing a coordination simulation by applying the pseudo-3D coordination image generated by applying total clothes coordination information derived from the artificial intelligence to a user-adapted avatar. The pseudo-3D user-adapted avatar is generated by receiving primary size information and deriving secondary size information from an algorithm by using the primary size information. The pseudo-3D user-adapted avatar image suitable to the user's body shape is generated from the 2D standard avatar image. The pseudo-3D coordination image is generated, from the standard 2D image by using coordination-related information, by an artificial intelligence algorithm, and in response to a corrected pseudo-3D user-adapted avatar image, the generated pseudo-3D coordination image is displayed.

A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a training opportunity to understand and solve optimally. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized audio, video, graphics and animation used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiances in which navigation through the system is at a pace controlled by the learner. Multiple users or students can utilize the simulated environment simultaniously and interactively from mupltiple viewpoints. A dynamic feedback system is utilized theat narrowly tailors feedback and focuses it based on the performance and characteristics of the student to assist the student in reaching a predefined goal.

An artificially intelligent or rule-based system to assist teams or groups become more effective by improving the communication process between members of the team or group. The system helps members share information, negotiate more effectively and make better group decisions.

According to various embodiments of the present invention, user performance and/or motivation for a computing system may be maximized by optimizing one or more target components of a user interface of the computing system. The target components may be aspects of the user interface that is perceived by the user. One or more input features and one or more output features may be identified, and data regarding these input and output features may be gathered. This data may be compared with the results generated by a set of candidate artificial intelligence algorithms to determine which of them provides the best fit with the data collected. Then, the selected artificial intelligence algorithm may be applied to the user interface to iteratively change the target components over time until the optimal settings for each user are discovered.

Methods, systems, apparatus and processes for determining the lithology as well as the mineralogy of subterranean formations surrounding a borehole are described. According to the methods and processes, well log data measurements from neutron spectroscopy applications and associated tool response parameters are solved using an artificial intelligence system, such as an expert system, which in turn generates an appropriate discriminator and/or compositional model that estimates both general and specific lithology as well as the mineralogy constraints of the subterranean formation being analyzed. The methods exhibit good elemental correlation between conventional methods of lithology and mineralogy determination, and can provide numerous output data, including grain density and porosity data within zones of the formation.

The invention discloses a block chain-based online taxi-hailing service system. The system includes a traffic cloud database, a traffic cloud artificial intelligence system (TAI) and a mobile client. With the block chain-based online taxi-hailing service system adopted, a decentralized, trustless, collectively maintained, asymmetric cryptography reliable database basic infrastructure and underlying internet protocol can be provided for traffic cloud; and a mobile SaaS (Software-as-a-Service) application pattern, a distributed computing normal form and a group intelligence model which can establish high-degree connections for travelers based on time stamp, achieve travel resource allocation consensuses and provide services according to demands can be realized.

Methods and systems for artificial intelligence based medical image segmentation are disclosed. In a method for autonomous artificial intelligence based medical image segmentation, a medical image of a patient is received. A current segmentation context is automatically determined based on the medical image and at least one segmentation algorithm is automatically selected from a plurality of segmentation algorithms based on the current segmentation context. A target anatomical structure is segmented in the medical image using the selected at least one segmentation algorithm.

Optimizing and/or personalizing activities to a user through artificial intelligence and/or virtual reality.

Automatic roof identification systems and methods are described. Example embodiments include a roof estimation system configured to automatically detect a roof in a target image of a building having a roof. In one embodiment, automatically detecting a roof in a target image includes training one or more artificial intelligence systems to identify likely roof sections of an image. The artificial intelligence systems are trained on historical image data or an operator-specified region of interest within the target image. Then, a likely outline of the roof in the target image can be determined based on the trained artificial intelligence systems. The likely roof outline can be used to generate a roof estimate report. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

A method and apparatus for automating the acquisition, reconstruction, and generation of knowledgebases of associated ideas and using such knowledgebases in many applications including machine translation of human languages, search and retrieval of unstructured text, or other data, based on concept search, voice recognition, data compression, and artificial intelligence systems.

An articulated and animated toy capable of recognizing human users and selected inanimate objects and interacting therewith which includes a computer-based device having stored thereon encoded first human or human-like facial images, a video camera and video digitizer for acquiring data representative of a second human or human-like facial image, and software resident within said computer-based device for facial recognition, which includes Principal Component Analysis, Neural Networks, or another equivalent algorithm for comparing said first human or human-like facial images with said second human or human-like facial image and producing an output signal therefrom for use in identifying said human users. The apparatus can further include software for recognizing speech, generating speech and controlling animation of the articulated toy. In addition, said computer-based device is capable of learning and storing information pertaining to each of said human users such as name, age, sex, favorite color, etc., and to interact with each of said human users on an individual basis, providing entertainment tailored specifically to each of said human users.

A method is provided for representing and updating the state of a dialog involving a series of queries and commands to an artificial intelligence system. Each statement within the dialogue may be modeled as a relational tree spanning nodes corresponding to named entities within the statement. A data structure may be used to store each of these trees and to modify them as the dialog progresses. A subsequent statement in the dialog may be parsed and its contents used to update an ongoing search initiated within that dialog. Statements may be used for the update process despite being fragmentary or not corresponding to any predetermined grammar. An algorithm is disclosed for updating the trees within the data structure after a new statement is parsed.

A system for analyzing a vast amount of data representative of chemical structure and activity information and concisely providing conclusions about structure-to-activity relationships. A computer may adaptively learn new substructure descriptors based on its analysis of the input data. The computer may then apply each substructure descriptor as a filter to establish new groups of molecules that match the descriptor. From each new group of molecules, the computer may in turn generate one or more additional new groups of molecules. A result of the analysis in an exemplary arrangement is a tree structure that reflects pharmacophoric information and efficiently establishes through lineage what effect on activity various chemical substructures are likely to have. The tree structure can then be applied as a multi-domain classifier, to help a chemist classify test compounds into structural subclasses.

A Multimodality Brain Mapping System (MBMS), comprising one or more scopes (e.g., microscopes or endoscopes) coupled to one or more processors, wherein the one or more processors obtain training data from one or more first images and/or first data, wherein one or more abnormal regions and one or more normal regions are identified; receive a second image captured by one or more of the scopes at a later time than the one or more first images and/or first data and/or captured using a different imaging technique; and generate, using machine learning trained using the training data, one or more viewable indicators identifying one or abnormalities in the second image, wherein the one or more viewable indicators are generated in real time as the second image is formed. One or more of the scopes display the one or more viewable indicators on the second image.

The invention discloses a deep question-and-answer service providing method and device based on artificial intelligence. The method comprises the following steps: obtaining question information input by a user; according to the question information, obtaining the user demand information of the user; according to the user demand information, distributing the question information to at least one corresponding question-and-answer service module; and receiving a question-and-answer result returned from the at least one question-and-answer service module, and deciding the question-and-answer result to determine a final question-and-answer result. The deep question-and-answer service providing method and device, based on artificial intelligence, of the embodiment obtains the user demand information of the user through the question information input by the user, distributes the question information to the at least one deep question-and-answer module according to the user demand information, receives the question-and-answer result returned from the at least one question-and-answer service module, finally decides the question-and-answer result to determine the final question-and-answer result, and can aim at a deep problem of the user to provide an accurate question-and-answer result for the user to improve the use satisfaction degree of the user.

An artificial intelligence system is provided which makes use of a dual subroutine to adapt weights. Elastic Fuzzy Logic ("ELF") System is provided in which classical neural network learning techniques are combined with fuzzy logic techniques in order to accomplish artificial intelligence tasks such as pattern recognition, expert cloning and trajectory control. The system may be implemented in a computer provided with multiplier means and storage means for storing a vector of weights to be used as multiplier factors in an apparatus for fuzzy control.

The application presents a question and answer recommendation method based on artificial intelligence, a question and answer recommendation device and a computer device. The question and answer recommendation method based on artificial intelligence includes steps of receiving search terms input by a user, wherein the search terms are questions; matching the search terms with questions having answers in a question and answer knowledge base; if the terms in question and answer knowledge base are not matched with the search terms completely, calculating the semantic similarity between the search terms and the questions having answers in the question and answer knowledge base; judging if the question and answer knowledge base has a question of which semantic similarity with the search terms is larger than a preset threshold value; if it does, using the answer of which semantic similarity with the search terms is more than the preset threshold value as the answer of the search term, and recommending to a user. Answer recommendation is realized according to the semantic similarity, thus the meaning transfer risk is reduced and the interference by meaningless oral expression element is reduced.

An automated personal assistance system employing artificial intelligence technology that includes speech recognition and synthesis, situational awareness, pattern and behavioral recognition, and the ability to learn from the environment. Embodiments of the system include environmental and occupant sensors and environmental actuators interfaced to an assistance controller having the artificial intelligence technology incorporated therein to control the environment of the system. An embodiment of the invention is implemented as a vehicle which reacts to voice command for movement and operation of the vehicle and detects objects, obstructions, and distances. This invention provides the ability to monitor for the safety of operation and modify dangerous maneuvers as well as to learn locations in the environment and to automatically find its way to them. The system may also incorporate communication capability to convey patterns of environmental and occupant parameters and to a monitoring center.

A system, methods, computer program product, a web site and an Artificial Intelligence system for evaluating a patent document have been provided. According to the methods for patent evaluation of the embodiments of the invention, the patent document is characterized by a number of patent indices arranged into a hierarchy, each index reflecting a different aspect of the patent document. The indices are combined into a Patent Quality index, which is an integral characteristic of the patent document, according to a non-linear scale, which preferably satisfies certain predetermined rules derived from the best practices of qualified experts. In one of the embodiments, a bias associated with an expert, influencing the evaluation of a patent has been taken into account. A corresponding method for determining a monetary value of the patent document is also described. The system for patent evaluation comprises a Patent Quality and Monetary Value processing unit for implementing one of the methods, and respective input and output data means, including a friendly graphical user interface. The system is implemented to be accessible via a network. A corresponding web site having a link, causing a computer program associated with the web site, which performs one of the methods, to execute and to display the results of the execution on a screen, is described. An Artificial Intelligence (AI) system for analyzing and interpreting patent indices and a Visualization unit for color-coded visualization of the results of evaluation are also provided.

Systems and methods for an autonomous marketplace system consist of a server that extracts borrower data that includes financial, operational and business data. The system also extracts lender data from prospective lenders including financial data and a target profile for each prospective lender. It then generates, using artificial intelligence, an autonomous ranked match of prospective lenders, wherein the artificial intelligence is used to identify relationships between the borrower data and the prospective lender data to generate the autonomous ranked match based on a preference of the borrower and a correlation between the identified relationships. Upon the borrower entering an internet based chat room the identities of the prospective lenders are revealed. The borrower selects one or more prospective lenders to receive a finance request, and after selection by the borrower, the selected prospective lenders are first notified and informed of an existence of the finance request of the borrower.

A system, method, computer program product, and a web site for evaluating a patent document by using an Artificial Intelligence (AI) have been provided. According to the method for patent evaluation of the embodiment of the invention, the patent document is characterized by a number of patent indices arranged into a hierarchy, each index reflecting a different aspect of the patent document. The values of the patent indices are analyzed by an Artificial Intelligence (AI) system, which generates a verbal conclusion regarding the value of the patent document based on the performed analysis. If requested, a reason associated with the generated conclusion may also be generated. The AI system is a decision tree based AI system, which is implemented so as to be accessible via a network. A corresponding web site having a link, causing a computer program associated with the web site to perform the AI analysis of the patent indices and to display the results of the analysis on a computer screen, is also described. The value of the patent document may be additionally visualized by using a color coding of the patent document based on values of its patent indices.

An artificial intelligence data analytics system, including: a data analytics algorithm accessible by an analyst operable for receiving data from one or more sources, applying one or more analytical tools to the data, and displaying summary information to the analyst; an artificial intelligence algorithm accessible by the analyst operable for applying a preferred artificial intelligence methodology to the data and automatically triggering and executing an action on behalf of the analyst; and an artificial intelligence learning algorithm accessible by the analyst operable for statistically scoring a plurality of potential artificial intelligence methodologies to be used by the artificial intelligence algorithm, receiving a corresponding analyst preference as to the preferred artificial intelligence methodology, and causing the artificial intelligence algorithm to utilize the preferred artificial intelligence methodology.