Abstract: A method is provided that can include activating at least two wireless communication channels in parallel, between a first wireless transceiver and a second wireless transceiver. Each of the at least two wireless communication channels can operate at a different radio carrier frequency, and the first wireless transceiver may be part of a first vehicle. The method can also include transmitting, by the first wireless transceiver, common information in parallel on the at least two wireless communication channels to the second wireless transceiver and deactivating the at least two wireless communication channels.

Abstract: The present disclosure provides a system for processing ultramafic material. The system may comprise a reactor for accelerating weathering of said ultramafic material. The reactor may comprise one or more chambers comprising one or more microbes, biological medicators, or enzymatic accelerants to facilitate the weathering of the ultramafic material.

Abstract: The present disclosure generally relates to displaying information related to a physical activity. In some embodiments, methods and user interfaces for managing the display of information related to a physical activity are described.

Abstract: Systems, methods, and other embodiments associated with computer distress-call detection and authentication are described. In one embodiment, a method includes detecting a human voice in audio content of a radio signal. Speech is recognized in the human voice to transform the human voice into text and vocal metrics. Feature scores are generated that represent features of the recognized speech based at least in part on the vocal metrics. The human voice is then classified as either a hoax distress call or an authentic distress call based on the feature scores. An alert is then presented indicating that the human voice is one of the hoax distress call or the authentic distress call.

Abstract: A fairness metric of decisions pertaining to a plurality of candidates indicated in a data set is estimated. Using a Hamiltonian Monte Carlo sampling algorithm, sample sets corresponding to random variables of a null model and an alternate model are obtained. A respective kernel density estimator is fitted on at least some sample sets, and importance sampling is implemented on additional samples generated using the kernel density estimators. The estimated fairness metric is provided via one or more programmatic interfaces.

Abstract: Herein is described an unsupervised learning method to discover topics and reduce the dimensionality of documents by designing and simulating a stochastic cellular automaton. A key formula that appears in many inference methods for LDA is used as the local update rule of the cellular automaton. Approximate counters may be used to represent counter values being tracked by the inference algorithms. Also, sparsity may be used to reduce the amount of computation needed for sampling a topic for particular words in the corpus being analyzed.

Abstract: Meaningful words or phrases may be extracted from the information and used as tags. Weights may be determined for the tags, and tag clouds may be generated for the items. The tag clouds may be stored to a data store. Information specifying a tag cloud may be received. Recommended items for which the tag clouds most closely match the specified tag cloud may be identified. Standard vector space distance calculations, for example the cosine distance between the tag clouds, may be used to determine cloud similarity. The results may be filtered to optimize relevance, novelty and familiarity in accordance with preferences of the user. The recommended items may be displayed to a user interface. Users may interact with the user interface to steer the recommendations towards more relevant content.

Abstract: Herein is described an unsupervised learning method to discover topics and reduce the dimensionality of documents by designing and simulating a stochastic cellular automaton. A key formula that appears in many inference methods for LDA is used as the local update rule of the cellular automaton. Approximate counters may be used to represent counter values being tracked by the inference algorithms. Also, sparsity may be used to reduce the amount of computation needed for sampling a topic for particular words in the corpus being analyzed.

Abstract: Systems, methods, and other embodiments associated with generating suggested shortcuts are described. In one embodiment, a method includes identifying a user that accesses an intranet portal and tracking navigation paths taken by the user within the intranet portal. The navigation paths are stored in a user profile associated with the user, where the navigation paths indicate a sequence of visited locations and a destination location for the sequence. When the user visits a location within the intranet portal, a list of suggested destination locations are generated as navigation shortcuts to allow the user to directly access a desired destination.

Abstract: Method and apparatus for transparent, steerable recommendations. A steerable recommender uses tag clouds including descriptive tags and associated weights to generate recommendations. Users may dynamically interact with the recommender via a user interface to steer the recommendations. A tag cloud for an item is displayed, items for which associated tag clouds are most similar to the displayed tag cloud are identified, and the items are displayed as recommendations. The strength of similarity of the items to the displayed tag cloud may be displayed. The user may modify a tag cloud, for example by changing the weight of a tag or by adding or removing a tag, and the recommendations may be automatically updated to reflect the modification. A recommended item may be selected to display the tag cloud corresponding to the item. A user may select a user interface element to request information on why a particular item was recommended.

Abstract: Systems, methods, and other embodiments associated with generating suggested shortcuts are described. In one embodiment, a method includes identifying a user that accesses an intranet portal and tracking navigation paths taken by the user within the intranet portal. The navigation paths are stored in a user profile associated with the user, where the navigation paths indicate a sequence of visited locations and a destination location for the sequence. When the user visits a location within the intranet portal, a list of suggested destination locations are generated as navigation shortcuts to allow the user to directly access a desired destination.

Abstract: A method for accessing a file system including computing a first numerical similarity score for a first stored document and a second numerical similarity score for a second stored document by comparing a plurality of weighted active terms with a plurality of weighted indexed terms, determining a document order of the first stored document followed by the second stored document based on the first numerical similarity score exceeding the second numerical similarity score, generating a list of similar documents including the first stored document followed by the second stored document based on the document order, and displaying, in a file system interface and on the computer display, the list of similar documents while an active document is open in an active document interface.

Abstract: A method for searching and resource discovery in a distributed enterprise (DE), the method including: generating a first classifier for a first repository in the DE; generating a second classifier for a second repository in the DE, where the second classifier has a vector element identifying a location of the second repository; submitting a copy of the second classifier to a web server of the first repository; obtaining a resource at the first repository after submitting the copy of the second classifier; matching the resource to the copy of a second classifier; sending a copy of the resource to the second repository using the vector element; and storing the copy of the resource in the second repository.

Abstract: A method for accessing a file system including computing a first numerical similarity score for a first stored document and a second numerical similarity score for a second stored document by comparing a plurality of weighted active terms with a plurality of weighted indexed terms, determining a document order of the first stored document followed by the second stored document based on the first numerical similarity score exceeding the second numerical similarity score, generating a list of similar documents including the first stored document followed by the second stored document based on the document order, and displaying, in a file system interface and on the computer display, the list of similar documents while an active document is open in an active document interface.

Abstract: A method for accessing a file system that includes creating a document index for an active document, identifying a similarity score for each of a plurality of stored documents to generate a list of similar documents, wherein the similarity score is computed by comparing the document index for the active document with a search index for the plurality of stored documents, and displaying the list of similar documents in a file system interface.

Abstract: A vehicle control system includes a steering mechanism adapted to be operatively connected to associated wheels of a vehicle. A position sensor is operatively connected to the steering mechanism to generate a signal representative of a position of the steering mechanism. A filter device receives the steering position signal and generates a filtered output. The electronic control unit is operable to generate a control signal based at least in part upon the filtered steering position signal. A vehicle control subsystem is in communication with the electronic control unit and is responsive to the control signal. A vehicle system is controlled by monitoring the position of a steering mechanism of a vehicle, determining a rate of change of the position of the steering mechanism, filtering the rate of change, comparing the filtered rate of change to a threshold value, and controlling a vehicle system based upon the comparison.

Abstract: Meaningful words or phrases may be extracted from the information and used as tags. Weights may be determined for the tags, and tag clouds may be generated for the items. The tag clouds may be stored to a data store. Information specifying a tag cloud may be received. Recommended items for which the tag clouds most closely match the specified tag cloud may be identified. Standard vector space distance calculations, for example the cosine distance between the tag clouds, may be used to determine cloud similarity. The results may be filtered to optimize relevance, novelty and familiarity in accordance with preferences of the user. The recommended items may be displayed to a user interface. Users may interact with the user interface to steer the recommendations towards more relevant content.

Abstract: Method and apparatus for transparent, steerable recommendations. A steerable recommender uses tag clouds including descriptive tags and associated weights to generate recommendations. Users may dynamically interact with the recommender via a user interface to steer the recommendations. A tag cloud for an item is displayed, items for which associated tag clouds are most similar to the displayed tag cloud are identified, and the items are displayed as recommendations. The strength of similarity of the items to the displayed tag cloud may be displayed. The user may modify a tag cloud, for example by changing the weight of a tag or by adding or removing a tag, and the recommendations may be automatically updated to reflect the modification. A recommended item may be selected to display the tag cloud corresponding to the item. A user may select a user interface element to request information on why a particular item was recommended.

Abstract: A method for searching and resource discovery in a distributed enterprise (DE), the method including: generating a first classifier for a first repository in the DE; generating a second classifier for a second repository in the DE, where the second classifier has a vector element identifying a location of the second repository; submitting a copy of the second classifier to a web server of the first repository; obtaining a resource at the first repository after submitting the copy of the second classifier; matching the resource to the copy of a second classifier; sending a copy of the resource to the second repository using the vector element; and storing the copy of the resource in the second repository.

Abstract: A media playlist is generated from a set of two or more seed media selections as well as the desired number of selections in the playlist. The seed selections represent waypoints in “media space”. A playlist is generated by finding a path of “stepping stone” selections between the waypoints, with the constraints that no selection is presented more than once and the maximum distance between stepping stones is minimized. In one embodiment, an “endless” playlist by adding a final path from the last playlist selection back to a selection that is nearest the first selection, but has not been presented yet. In still another embodiment, a separate set of “avoid” selections is maintained. When generating the playlist, given a set of paths that meet the aforementioned path generation constraints, paths will be selected that maximize the distance from the set of “avoid” selections.