562 research outputs found

    China Becoming the First Artificial Intelligence Superpower Widens Tech Gap, Poses New Threats

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    President Xi Jinping declared in October 2017 “We will….speed-up development of intelligent military [AI], and improve combat capabilities for joint operations based on the network information system and the ability to fight under multi-dimensional conditions. China continued in 2017 and was among the first nations to advance in a national-AI development strategy that broadly address AI’s role in economic development.This presentation is focused on these technological developments of AI and what that means for the US. Presentation Time: Wednesday, 3-4 p.m

    Up Close and Personal: Ritual, Social Criticism, and the Russell Tribunal

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    This thesis attempts to provide a conception of the Russell Tribunal as an organization deeply rooted in ritual practice and social criticism. Contrary to prevailing views that describe the Tribunal as nothing more than a (failed) legal court or an organization that sought to engage with international law, this thesis argues that the Tribunal, far from an organization rooted in judging the legality of the Vietnam War, can actually be understood as an organization that sought to enhance the social criticism of its members

    An investigation into the effects of partitioning the facilities assignment problem by hierarchical clustering methods

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    This thesis considers the possibility of partitioning larger problems by clustering the facilities according to the hierarchy of their mutual flows. Two different methods of accomplishing this clustering are developed and evaluated. A model is developed to partition the problem by these methods and to use a branch and bound algorithm at two levels. One level arranges the clusters in an optional manner and the second level arranges the facilities within the clusters

    Cardiovascular disease epidemiology

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    Congress and Deregulation: Federal Legislative Issues Past, Present and Future.

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    I am Bill Robinson, and I am pinch-hitting for Mark La Fratta. Mark did something that caused him to have to go to Gary, I am not sure what it is. Perhaps, Mr. Brown will be able to tell us later on. In any event, it is a pleasure to be here. A couple of Saturdays ago, I was out sailing in an old boat I have, and we had wonderful winds. We were wasting in an area on the Rappahannock that I was not very familiar with, and we were just about to make our last tide in the fifth of six legs of the race, when we ran aground so badly, and so far, that it looked like one of those photographs after a hurricane, with the boat keeled over. Eventually, somebody came by and yelled over from his boat, It sure is a lot easier standing up at a podium in a courtroom, than what you are doing, is it not, my boy. It was a bailiff in the Federal Judge\u27s Courtroom in Richmond, and the general proposition he used was correct. And, it is with a little trepidation that I come because you all are experts at this, and the panelists are certainly experts, and I am simply going to be introducing them

    Development and Application of Predictor Model for Seasonal Variations in Skid Resistance (Ⅱ) ―Generalized Model―

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    This paper describes some of the findings of a research program to develop and validate a model for predicting minimum pavement skid resistance values from measurements taken at any time during the testing season. The model was developed by obtaining frequent skid resistance measurements during a season in several geographical areas in the United States, namely Pennsylvania (1976-1980), North Carolina and Tennessee (1979-1980), Massachusetts (1978-1980), and Florida (1979-1980). This model may be utilized to estimate the skid resistance at any time in the season from a measurement made during the same season, or to adjust skid resistance measurement made at any time during the season to the end-of-season level. To apply the model, the user should select the set of predictor coefficient values that pertains to the pavement type and geographical area of interest. The other information required is the average daily traffic (ADT), texture measurements (MTD and BPM) for each site, rainfall history, ambient temperature history in the vicinity of the site, and the date. The model developed here was applied for predicting the level of skid resistance at the end of the year (SN₆₄F) and for predicting the skid resistance at any day from a measurement taken on a different day. Based on these results, it is concluded that the generalized model is an effective analytical tool for estimating seasonally adjusted values of skid resistance
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