57 results about "Human intelligence" patented technology

A novel system for a new kind of electronic news gathering and videography is described. In particular, a camera that captures light passing through the center of a lens of an eye of the user is described. Such an electronic newsgathering system allows the eye itself to, in effect, function as a camera. In wearable embodiments of the invention, a journalist wearing the apparatus becomes, after adaptation, an entity that seeks, without conscious thought or effort, an optimal point of vantage and camera orientation. Moreover, the journalist can easily become part of a human intelligence network, and draw upon the intellectual resources and technical photographic skills of a large community. Because of the journalist's ability to constantly see the world through the apparatus of the invention, which may also function as an image enhancement device, the apparatus behaves as a true extension of the journalist's mind and body, giving rise to a new genre of documentary video. In this way, it functions as a seamless communications medium that uses a reality-based user-interface.

Although self-driving vehicles excel under “normal” driving conditions, they sometimes struggle with new situations that often would not be overly difficult for a person. Several embodiments described herein enable a hybrid approach that leverages the exceptional abilities of self-driving vehicles while soliciting human interaction in select situations. The resulting combination of machine intelligence and human intelligence significantly enlarges the potential of self-driving vehicles in a manner that will enable self-driving vehicles to become widespread much faster than would otherwise be the case.

An interactive voice and data response system that directs input to a voice, text, and web-capable software-based router, which is able to intelligently respond to the input by drawing on a combination of human agents, advanced speech recognition and expert systems, connected to the router via a TCP / IP network. The digitized input is broken down into components so that the customer interaction is managed as a series of small tasks rather than one ongoing conversation. The router manages the interactions and keeps pace with a real-time conversation. The system utilizes both speech recognition and human intelligence for purposes of interpreting customer utterance or customer text. The system may use more than one human agent, or both human agents and speech recognition software, to interpret simultaneously the same component for error-checking and interpretation accuracy.

A method and apparatus are proposed for allocating a plurality of human intelligence tasks (HIT) to corresponding human workers. An optimization problem is formulated which incorporates the objectives of reducing the time taken for the HITs to be completed, and of improving the quality of HIT results. The method and apparatus are able to provide solutions to the optimization problem in polynomial time, and to provide theoretical guarantees on the optimality of the solution. The optimization problem is formulated using a measure of a target workload for each worker and a measure of each worker's current situation.

An interactive voice and data response system then directs input to a voice, text, and web-capable software-based router, which is able to intelligently respond to the input by drawing on a combination of human agents, advanced speech recognition and expert systems, connected to the router via a TCP / IP network. The digitized input is broken down into components so that the customer interaction is managed as a series of small tasks rather than one ongoing conversation. The router manages the interactions and keeps pace with a real-time conversation. The system utilizes both speech recognition and human intelligence for purposes of interpreting customer utterance or customer text. The system may use more than one human agent, or both human agents and speech recognition software, to interpret simultaneously the same component for error-checking and interpretation accuracy.

An improved process for forecasting product demand to be used within inventory management and / or production planning systems. This improved process overcomes the limitations of the prior art by providing an optimal combination of automated statistical data processing and human intelligence, in one interactive system. The new method provides an efficient means for an operator to incorporate much information, known to the operator, that would otherwise be missed by the systems of the prior art. It allows the operator to analyze information very quickly by viewing graphs drawn on a graphical user interface and to make changes very quickly using that same graphical user interface. The method relies on the use of edit markings / symbols drawn on the display portion of the graphical user interface. These edit markings / symbols are used to make changes to the parameters forming the basis for a product demand forecast. The markings / symbols are recognized by the forecast software algorithm and a new forecast is generated based on the revised parameters.

The invention belongs to the field of network security visual analysis and relates to a website abnormal access behavior detection method based on the visual analysis. The method includes the steps of carrying out preprocessing on log data of a web server, utilizing a visual method to display position, time and content information of the data, utilizing an animation effect to display access events, carrying out clustering analysis on access users, carrying out acquisition and calculation on data attributes, and carrying out pattern discovery on abnormal access behaviors through combination of observation to visual results and clustering results and manual analysis. Compared with a traditional pure-machine computation method, the website abnormal access behavior detection method based on the visual analysis is capable of enabling a user to understand more clearly and visually, fully utilizes human intelligence, finds good balance between intelligent degree and human involvement, and is favorable for improving efficiency of solving problems.

This invention is a method, system and process creating a machine readable language of medical billing codes from medical records by artificial intelligence and human intelligence both. The software related engine is achieved by converting difficult billing code numbers into and from easy code letters. Also, this software makes scheduling easier, with reappointments and sends letters by electronic means, messaging, voice over internet protocol and wireless connections using an unique implementation of other applications in combination with this novel medical software operation.

The invention discloses the technology of brain-like computing virtualization. Brain-like computing means the computing technology to mimic human brain and generate human intelligence automatically with computer software. Here the unconscious engine and conscious engine are used to define human left and right brain, while the virtualization technology is used for software to run on future hardware, such as quantum computer and molecular computer. The applied domain areas include quantum gate and adiabatic quantum simulation, brain-like autonomic computing, traditional multi-core-cluster performance service, software development / service delivery systems, and mission-critical business continuity / disaster recovery.

Systems and computer-implemented methods include a validation phase in which validation projects are submitted to an online crowdsourcing system. The validation projects each have different combinations of the two validation control parameters, payment per human intelligence task (“HIT”) and number of solutions per HIT. By analyzing the solutions for the validation projects, final control parameters can be selected from the validation project having the best combination of high quality, low cost, and short time to completion. The final control parameters can be submitted along with a final project to the online crowdsourcing system. In addition, a novel outlier detection algorithm enables the system to detect outlier workers based on the distribution of non-experts' agreement probabilities, reject outlier workers' results, and thus save labeling cost.

A system allowing human intelligence and artificial intelligence to participate in the solving of a problem together, in real time, allowing the human to tag a data set of complex interactions to indicate where the failures are and to develop a system based on this dataset that learns heuristic rules to detect when a failure is likely and to automatically request further human assistance.

Described is a system for supporting human intelligence analysis. The system detects changes in social relations among users within a dynamic information network and enables understanding of a current social situation in the dynamic information network through multiple integrated modules. An active network mining module identifies incomplete data that is related to at least one change in the social relations and resolves conflicting and missing data in the dynamic information network. A relevant network discovery module constructs a relevant network from hidden relations within the dynamic information network. An information-aware social network module constructs an information-aware social network using the relevant network, then classifies and prioritizes items of interest to provide an assessment of a current social situation to a user.

A game engine is configured to accept human intelligence tasks as in-game content and present the in-game content to the game player. A method performed by the game engine enables performance of human intelligence tasks, such as visual discrimination, in a video game context. The game engine may receive a definition of human intelligence tasks from one or more remote sources. The game engine may present the human intelligence tasks to multiple video game participants as in-game content. The game engine defines and enables game play rules for the in-game content. The game play rules set parameters for the multiple video game participants to perform the human intelligence tasks to achieve desired results. The game engine may award each of the multiple video game participants an improved game score upon successful performance of the human intelligence tasks in accordance with the game play rules. The game engine may measure success by consistency in responses between different participants or trials.

The invention discloses a multi-strategy route planning method of a mobile robot based on a semantic map. Techniques such as a generalized Voronoi graph (GVG), conditional random field (CRF) inference and a morphological open and close operation are integrated in the method, noise elimination and semantic entitlement and the like on a map built by a common simultaneous localization and mapping (SLAM) algorithm are achieved, finally different route planning algorithms which are suitable for corresponding area features are applied to areas with different semantic meanings in the semantic map, and mixed use of the multi-strategy route planning algorithms is achieved. Based on semantic map planning navigation, not only is the superiority of a route used by a robot improved at the algorithm level, so that the capacity of the robot for selecting a route is inclined toward human intelligence more, but the multi-strategy route planning method lays a technical foundation for a good man-machine interaction of future robots.

The invention relates to a network management and control method and a module thereof. By means of various technologies, complex network management and control application related elements are systematically arranged, analysis is conducted from different dimensions, and a network management and control system architecture model with application-level services capable of being referenced is set; sensing and application scenarios, users, cloud services and the like are better combined, comprehensive sensing, initial intelligent processing, reliable transmission and other problems are optimized,fusion of the physical world and the digital world is better achieved, and human intelligence is materialized and extended.

Described is a technique for managing a workflow of human intelligence tasks based on task performance. When a large batch of tasks is performed continuously by a worker, task performance may decline. To lessen these consequences and improve overall task performance, the techniques described herein may adjust the type of tasks provided during a workflow. These adjustments may include providing a workflow interruption in the form of a different type of task or a break activity. These interruptions may switch between conceptual and perceptual activities in order to refresh the user and aid in alleviating the negative consequences of repetitive tasks such as physical and cognitive fatigue.

The invention aims at overcoming the defect that a traditional trajectory planning method applied to a guided missile having turning capability, for example a boosting glided missile, has inadaptability and provides a trajectory planning method. According to the trajectory planning method, human intelligence factors are introduced, trajectory characteristics are directly designed based on an analytic curve, control quantity and restraint conditions are inversely calculated, the intension of a designer and the planning process of a computer are organically integrated through a rough draft interaction technique, the vision of the trajectory planning process is remarkably improved, and the boosting glided missile trajectory planning efficiency under complicated constraint is improved.

A system and method of recording utterances for building Named Entity Recognition (“NER”) models, which are used to build dialog systems in which a computer listens and responds to human voice dialog. Utterances to be uttered may be provided to users through their mobile devices, which may record the user uttering (e.g., verbalizing, speaking, etc.) the utterances and upload the recording to a computer for processing. The use of the user's mobile device, which is programmed with an utterance collection application (e.g., configured as a mobile app), facilitates the use of crowd-sourcing human intelligence tasking for widespread collection of utterances from a population of users. As such, obtaining large datasets for building NER models may be facilitated by the system and method disclosed herein.

This invention is a method creating a machine readable language of medical billing codes from medical records by artificial intelligence and human intelligence both. The software related engine is achieved by converting difficult billing code numbers into and from easy code letters. Also, this software makes scheduling easier, with reappointments and sends letters by electronic means, messaging, voice over internet protocol and wireless connections using an unique implementation of other applications in combination with this novel medical software operation.

The present invention relates to a method for measuring human intelligence using a neurobiogical model. The invention provides a method which enables neurometric IQ to be measured by processing the MRI and fMRI images of subjects to determine cortical thicknesses and brain activation levels, determining structural IQ (sIQ) and functional IQ (fIQ) from the cortical thicknesses and the brain activation levels, and using the structural IQ (sIQ) and the functional IQ (fIQ) as predictors to measure the neurometric IQ of the subject. According to the present invention, the concept of a neurometric IQ (nIQ) model is established and can assist in easily assessing individual differences in general cognitive ability. These results suggest that general cognitive ability can be explained by two different neural bases or traits: facilitation of neural circuits and accumulation of crystallized knowledge.

The invention discloses a human living body detection method based on human brain intelligence and man-machine interaction. The human living body detection method comprises the following steps: randomly transferring an instruction subject which is pre-configured in an instruction database in advance, and randomly setting a response mode; acquiring user response information and verifying the response mode and a response result; and if the response mode and the response result of the instruction subject are matched successfully, judging that a response user is a human living body. According to the method, the subject is appointed randomly to enable the user to answer in regulated time by the randomly-appointed response mode, and the transmitted instruction subject can be answered through the brain thinking of the user, so that an impostor can not adopt manners such as pure voice and / or video synthesis or editing and the like to cheat a human living body detection system. According to the human living body detection method, lawless persons can be effectively prevented from carrying out impersonation attacks through various means, so that the human living body detection system becomes more effective and reliable.

Systems and methods for amplifying the intelligence of networked human populations, maximizing the accuracy of collaborative forecasts and group insights. This includes systems and methods for sending and presenting a forecasting query for a future event to a plurality of participants, each using a networked computing device, the forecasting query describing a future event to be collaboratively predicted by the population of human participants. An initial forecast response is collected from each participant and analyzed by a central server. A plurality of unique overlapping subsets of responses are determined by the server. Unique overlapping subsets of unique initial forecast responses are then displayed, at substantially the same time, on each computing device. A second forecast response is collected from each participant and a final forecast is determined.

The invention discloses an outer skeleton type arm joint information detection device, relates to a man-machine interaction device for robot control, and provides a detection device used for detecting information of joints of the human arms so as to solve the problem that an existing man-machine interaction interface can neither timely, efficiently and accurately express the control consciousness of a human on a robot nor meet the requirement of the human for controlling the flexibility of joints of the robot. The device is characterized in that depending on the design of outer skeletons of the human arms, all the joints are ingeniously connected, and angle information of the arms can be accurately and reliably collected in real time; the device can be adapted to arms in different sizes, and therefore the device can be applied to the robot control field. The human brain is brought into full play, and planning or decision making which can not be completed by the robot easily in an unknown space environment or task is completed by the human. Both the capacity of the robot for coping with a severe environment and the human intelligence are brought into play, and therefore interaction between the human and the robot is achieved.

A system and method of recording utterances for building Named Entity Recognition (“NER”) models, which are used to build dialog systems in which a computer listens and responds to human voice dialog. Utterances to be uttered may be provided to users through their mobile devices, which may record the user uttering (e.g., verbalizing, speaking, etc.) the utterances and upload the recording to a computer for processing. The use of the user's mobile device, which is programmed with an utterance collection application (e.g., configured as a mobile app), facilitates the use of crowd-sourcing human intelligence tasking for widespread collection of utterances from a population of users. As such, obtaining large datasets for building NER models may be facilitated by the system and method disclosed herein.

The invention provides a mobile robot brain-computer cooperative control method and a system based on a Petri network. A sharing control strategy is combined with internal and external information ofa brain-computer interface system, a Petri net model of a brain-controlled robot system is constructed, the cooperation and conflict problems of human intelligence and machine intelligence are solved,and brain-computer cooperative control of the mobile robot is achieved. In Petri net modeling of a brain-controlled robot system, a control library is added to describe external input of the system,and the Petri net modeling process is simplified through a Petri net synthesis method. According to the method, the model of the brain-controlled robot system is established through the Petri networkmethod, the structure and dynamic characteristics of the whole system are described, the method can be used for designing, verifying and executing a shared control strategy, and the applicability of the brain-controlled robot system in a complex environment is improved.

The invention relates to a man-machine interaction device controlled by a robot, and in particular to a finger movement detection device based on the Hall effect. The detection device for detecting information of human hand joints is provided for solving the problems that the control consciousness of people on the robot cannot be expressed in time, efficiently and accurately through an existing man-machine interaction interface, and the control requirement for the flexibility of all joints of the robot cannot be met. The finger movement detection device is technically characterized in that based on the design of the outer skeleton on the human hand, the joints are connected ingeniously, finger information can be accurately and reliably collected in real time, and the device can adapt to the sizes of different hands so as to be used for the field of control over the robot. The brain of the human can give a full play, and plans and decisions which are hard to make for the robot in unknown space environments or tasks are achieved by the human. The capacity of the robot for handling with severe environments is achieved, human intelligence is brought into play, and organic interaction between the human and the robot is achieved.