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Foley, AL, United States

« Fleet of 150 Renault ZOE EVs for smart solar charging project | Main | Kawasaki Heavy and Shell to partner on technologies for transporting liquefied hydrogen by sea » US Transportation Secretary Anthony Foxx, joined by Barbara Bennett, President and COO of Paul G. Allen’s Vulcan Inc. and Rick Clemmer CEO of NXP Semiconductors, announced the seven finalists for the US Department of Transportation’s (USDOT) Smart City Challenge. (Earlier post.) The USDOT has pledged up to $40 million (funding subject to future appropriations) to one city to help it define what it means to be a “Smart City “and become the country’s first city to fully integrate innovative technologies—self-driving cars, connected vehicles, and smart sensors—into their transportation network. The finalists are: Austin, TX; Columbus, OH; Denver, CO; Kansas City, MO; Pittsburgh, PA; Portland, OR; and San Francisco, CA. Secretary Foxx was joined by representatives of the seven city finalists, including Austin Mayor Steve Adler, Columbus Mayor Andrew Ginther, Kansas City Mayor Sly James, Pittsburgh Mayor Bill Peduto, and Portland Mayor Charlie Hales for the announcement at the C3 Connected Mobility Showcase being held during the South by Southwest conference (SXSW). When the challenge was issued in December 2015, the Department’s launch partner, Paul G. Allen’s Vulcan Inc., announced its intent to award up to $10 million to the winning city to support electric vehicle deployment and other carbon emission reduction strategies. In this second phase of the competition, the seven finalists will receive a $100,000 grant to further develop their proposals. Whereas the first phase called for a high-level overview, the winning city will be selected based on their ability to “think big”, and provide a detailed roadmap on how they will integrate innovative technologies to prototype the future of transportation in their city. The Department will work with each city to connect them with existing partnerships and support their final proposal with technical assistance. In addition to announcing the seven finalists, Secretary Foxx also announced a new Smart City Challenge partnership with Amazon Web Services (AWS), a secure cloud services platform, which will provide solution architecture and best practices guidance to the finalists to help them leverage AWS services for Smart City solutions, as well as award $1 Million of credits to the Challenge winner for AWS Cloud services and AWS Professional Services. Furthermore, AWS will collaborate with US DOT on efforts to engage the startup community, and bring their ideas to the finalists. The credits, support, and collaboration will help the winning city design and build a Smart City on the AWS Cloud. Other partners that have already joined the Smart City Challenge include: The Department developed the Smart City Challenge as a response to the trends identified in the Beyond Traffic draft report. The report, issued last year, revealed that the US’ aging infrastructure is not equipped to deal with a significantly growing population in regions throughout the country. It also identified a need to increase mobility options in developing mega-regions—specifically mid-sized cities. The winning city will be announced in June 2016.

Vulcan Inc. | Date: 2014-01-31

Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (CRS) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

The current application is directed to methods, and to systems employing the methods, that allow built-in indexing methods for facts, to additionally be applied to rules within a logic-programming system. The methods and systems to which the current application is directed convert an original set of rules into an equivalent set of fact/rule pairs. In addition, a new set of rules may be directly encoded as a new set of fact/rule pairs by these methods and systems. The equivalent set of fact/rule pairs implement the original set of rules, preserving the meaning of the original rules, but the equivalent set of fact/rule pairs are indexed by built-in indexing methods for facts. The new fact/rule pairs are also indexed by built-in indexing methods for facts.

Embodiments of the present invention include information services, methods and systems to facilitate gathering and management of information by home users and professional users of information gathering, processing, and distribution services, and user interfaces through which users communicate with information services. In one embodiment of the present invention, a central information gathering, processing, and distribution service provides a simple, but robust and highly functional, interface to remote home users and professional users to allow the home users and professional users to continuously receive updated information gleaned from continuous searching of the Internet and other information sources by the information service. The interface allows users to define, refine, and stably store interests that define information searches continuously carried out, on behalf of the user, by the information gathering, processing, and distribution service. The information service discovers and stores user preferences, interests, and bookmarked URLs and other information in a way that allows users within communities of users to share their stored interests, bookmarked information, and preferences among themselves.

Embodiments of the present invention are directed to flexible, user-adapted, continuous searching, on behalf of a particular user, for points of interest relevant to the users current location within a specifically computed personal region of interest. In a general case, the personal region of interest is computed as a function of the users level of disposition towards the searched-for points of interest. The level of disposition towards the searched-for points of interest may, in turn, be based on two or more of the users location, the current date and time, a history of the users interaction with the POI-searching system, including user-initiated searches and user selections from displayed search results, a user profile developed for, and continuously updated on behalf of, the user, and a current context for the search, as specified by a search query or by other context-specifying means. The personal region of interest generally defines an abstract area, volume, or hypervolume within which method and system embodiments of the present invention search for points of interest.

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