Abstract: An automatic updating apparatus includes a traffic receiver that receives numbers per unit time of the access of more than one menu displayed in a screen and calculates rates of variability with respect to the numbers of the access to each menu, and a menu updating unit that updates a menu display in the screen based on the rates of variability.

Abstract: A mobile personal-computing device may categorize a selected contact by collecting from the user information related to the selected contact's behavior and/or personality style. After obtaining communication hints for effectively communicating with similarly categorized individuals. The mobile personal-computing device modifies a remote or local contacts database such that when the user communicates with the selected contact, the mobile personal-computing device will automatically provide the communication hints to the user.

Abstract: A method, system, and computer program product for interactive searching with executable suggestions provides a search engine and data management technology that determine what a user is looking for, analyze the data in a database, and present immediately useful suggestions for finding the right information. Executable suggestions are presented that enable a user to further narrow or broaden a search intelligently and adaptively in real-time. Each executable suggestion describes a search and corresponding search criteria and provides information on the actual search results a user will obtain according to this search criteria. In one embodiment of the present invention, a system has a suggestion engine and one or more suggestion spaces.

Abstract: A method, system, and computer program product for interactive searching with executable suggestions provides a search engine and data management technology that determine what a user is looking for, analyze the data in a database, and present immediately useful suggestions for finding the right information. Executable suggestions are presented that enable a user to further narrow or broaden a search intelligently and adaptively in real-time. Each executable suggestion describes a search and corresponding search criteria and provides information on the actual search results a user will obtain according to this search criteria. In one embodiment of the present invention, a system has a suggestion engine and one or more suggestion spaces.

Abstract: Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. Retrieval system of cognitive memory uses autoassociative neural networks and techniques for pre-processing query pattern to establish relationship between query pattern and sought stored pattern, to locate sought pattern, and to retrieve it and ancillary data.

Abstract: A read-only management object is created to contain information relating to firmware components that can be updated. This information includes a component identifier, a component version and a user-friendly name for the component. The information also includes a state identifier that indicates a state of a device that includes firmware components. Information from the management object can be used by other components as part of a firmware update process. An update management object is dynamically created to deliver an update package to the device. The update package can contain updates to multiple firmware components.

Abstract: Item selections along with user inputs are leveraged to provide users with automated item tagging. Further user interaction with additional windows and other interfacing techniques are not required to tag the item. In one example, a user selects items and begins typing a tag which is automatically associated with the selected items without further user action. Tagging suggestions can also be supplied based on a user's selection, be dynamically supplied based on a user's input action, and/or be formulated automatically based on user data and/or tags and the like associated with selections by an external source. Machine learning can also be utilized to facilitate in tag determination. This increases the value of the tagged items by providing greater item access flexibility and allowing multiple associations (or tags) with each item.

Abstract: A navigation system and method uses loops as opposed to existing search techniques to more expeditiously find routes on a map from a starting point to a destination. Roads on a map are traced to form one or more continuous loops. Information regarding the loops is stored for future reference. A starting point and at least one destination are specified, and loops that connect the loops containing the starting point and destination are determined. A route is then formulated from the starting point to the destination using road segments or intersections where the identified loops are mutually contiguous. A list is generated including the loops and the road segments associated therewith. The road segments of an initial loop are examined and, if a road segment or intersection common to a next loop is identified, the road segments of that loop are examined, and so on, until a route from the starting point to the destination is found.

Abstract: A method, system, and computer program product for interactive searching with executable suggestions are provided. The present invention provides a search engine and data management technology that can understand what users are looking for, understand the data in a database, and present immediately useful suggestions for finding the right information. Executable suggestions are presented that enable a user to further narrow or broaden a search intelligently and adaptively in real-time. Each executable suggestion describes a search and corresponding search criteria and provides information on the actual search results a user will obtain according to this search criteria. In one embodiment of the present invention, a system has a suggestion engine and one or more suggestion spaces.

Abstract: Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. Retrieval system of cognitive memory uses autoassociative neural networks and techniques for pre-processing query pattern to establish relationship between query pattern and sought stored pattern, to locate sought pattern, and to retrieve it and ancillary data.

Abstract: Designs for cognitive memory systems storing input data, images, or patterns, and retrieving it without knowledge of where stored when cognitive memory is prompted by query pattern that is related to sought stored pattern. Retrieval system of cognitive memory uses autoassociative neural networks and techniques for pre-processing query pattern to establish relationship between query pattern and sought stored pattern, to locate sought pattern, and to retrieve it and ancillary data.

Abstract: A decision tree, representing a knowledge base, is segmented into at least two decision tree portions. The lower portion includes the tree entry point and is stored in a memory element with a faster access time than the upper portion, which includes the terminating element of the decision tree. Thus during the process of reading the tree entries for comparing them with the search object, the search entries in the lower portion of the tree can be read faster than the search entries in the upper portion, resulting in a faster traversal through the entire decision tree.

Abstract: 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 business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner.

Abstract: A method of analyzing an evolution of a biological system comprising the steps of determining a series of variables upon which a state of the biological system depends, mapping the variables to an n-dimensional space, and wherein the evolution of the biological system is monitored utilising a trajectory formed from sets of the variables which define the states of the biological system at different times, thereby using time as a parameter in the n-dimensional space in a manner such that every point on the trajectory corresponds to at least one value of time.

Abstract: A method, apparatus and computer product that enables a processor associated with a node in a computer system having various nodes, the nodes having sensors which provide data, and the nodes being connected by a communications facility acquiring local data from the sensor and remote data from other nodes via the data transfer facility. The nodes process data from a local sensor at the node and from remote sensors at other nodes; and analyze the local data, data from other nodes and local decisions made at and received from other nodes to make a local decision for action at the node. A local decision made at a node is in turn communicated to other nodes.

Abstract: The invention concerns an interactive method for communicating data to users (1) of a communication network (3). Each user (1) is provided with a computer equipment (2) connected to the electronic communication network (3). The method uses at least a virtual object (6).

Abstract: Grating profile data is classified using a cluster generator to generate a plurality of clusters of grating profile data points from a data space containing grating profile data points. The cluster generator associates profile shape data to each cluster, and links the associated profile shape data to the grating profiles belonging to each cluster.

Abstract: A method for handling e-mail messages includes defining a set of rules, and applying the set of rules to received e-mail messages. Importance ratings are assigned to the received e-mail messages based upon the application of the set of rules, and actions taken by a user with respect to the received e-mail messages are monitored. The method further includes modifying the set of rules based upon the monitored actions taken with respect to the received e-mail messages.

Abstract: A system and method for generating a user profile for a user based on a static profile and a dynamic profile of the user. The static profile includes factual user information. The dynamic profile includes dynamic rules which correspond to transactional information of the user. The method and system compresses the dynamic rules into aggregated rules so that the user can view a comparatively small number of the aggregated rules and select the desired rules from the aggregated rules based on user-desired criteria. The dynamic rules associated with the particular user are matched to the selected desired aggregated rules to generate the dynamic profile. The static and dynamic profile are then combined to form the user profile. The system and method can be used in conjunction with a Personal Shopping Assistant system and a Personal Intelligent Digital Assistant system.

Abstract: Image features are generated by performing wavelet transformations at sample points on images stored in electronic form. Multiple wavelet transformations at a point are combined to form an image feature vector. A prototypical set of feature vectors, or atoms, is derived from the set of feature vectors to form an “atomic vocabulary.” The prototypical feature vectors are derived using a vector quantization method (e.g., using neural network self-organization techniques) in which a vector quantization network is also generated. The atomic vocabulary is used to define new images. Meaning is established between atoms in the atomic vocabulary. High-dimensional context vectors are assigned to each atom. The context vectors are then trained as a function of the proximity and co-occurrence of each atom to other atoms in the image. After training, the context vectors associated with the atoms that comprise an image are combined to form a summary vector for the image.

Abstract: A computer operated apparatus estimates values needed by an optimizer in a database management system (DBMS). The DBMS has one or more tables for storing data, each table having zero or more columns of user-definable data types and zero or more associated user-defined routines (UDRs). The apparatus has a feature vector extractor connected to the database tables for converting the UDR inputs into a base type representation. A neural network receives the feature vector and generates estimated values which are provided to the optimizer of the DBMS. The neural network can be trained periodically using randomly generated queries, or it can be trained dynamically by capturing data generated during a query. During operation, the optimizer dynamically invokes the neural network to generate estimates such as selectivity and cost per call for determining optimum query search sequence.

Abstract: A method of automatically extracting metadata from a document. The method of the invention provides a computer readable document that includes blocks comprised of words, an authority list that includes common uses of a set of words, and a neural network trained to extract metadata from groupings of data called compounds. Compounds are created with one compound describing each of the blocks. Each compound includes the words making up the block, descriptive information about the blocks, and authority information associated with some of the words. The descriptive information may include such items as bounding box information, describing the size and position of the block, and font information, describing the size and type of font the words of the block use. The authority information is located by comparing each the words from the block to the authority list.

Abstract: A method and system for dynamically synthesizing a computer program based on user context data is provided. In accordance with the invention, a request is received to generate a computer program for an identified user. In response, an incomplete definition of the computer program, from which portions of the definition are omitted, is retrieved. For each portion of the computer program omitted from the incomplete definition of the computer program, a plurality of possible versions of the omitted portion are accessed. Each possible version produces a different behavior in the computer program when it is added to the computer program. Further, each possible version has one or more conditions that may be evaluated against user attributes for the identified user to determine whether the possible version is acceptable for the user. Next, for each possible version of each omitted portion, the conditions of the possible version are evaluated to determine whether the possible version is acceptable for the user.