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This paper introduces the risks associated with the development of Artificial General Intelligence (AGI), gives an overview of the major organizations involved in the study of AGI risk, and examines current actions being taken with respect to AGI risk management. It then discusses possible AGI public policy options and their likely outcomes, and finally recommends a set of policies designed to decrease the risk presented by AGI.

Standardizing Vietnamese address

Problème 1 tfjm 2019

The efficiency of a query execution plan depends on the accuracy of the selectivity estimates given to the query optimiser by the cost model. The cost model makes simplifying assumptions in order to produce said estimates in a timely manner. These assumptions lead to selectivity estimation errors that have dramatic effects on the quality of the resulting query execution plans. A convenient assumption that is ubiquitous among current cost models is to assume that attributes are independent with each other. However, it ignores potential correlations which can have a huge negative impact on the accuracy of the cost model. In this paper we attempt to relax the attribute value independence assumption without unreasonably deteriorating the accuracy of the cost model. We propose a novel approach based on a particular type of Bayesian networks called Chow-Liu trees to approximate the distribution of attribute values inside each relation of a database. Our results on the TPC-DS benchmark show that our method is an order of magnitude. more precise than other approaches whilst remaining reasonably efficient in terms of time and space.

O privire generala asupra eficientei algoritmilor de sortare elementari in programare

Kumar Saurav's Resume

Senior QA Engineer Resume

Shreyasi Hazra's CV. Created wit the

The Swift Programming Language