How to Measure AI: Trends, Challenges and Implications
AMT 2013 is the most comprehensive conference focused on the various aspects of advances in Advanced Measurement and Test. The conference provides a chance for academic and industry professionals to discuss recent progress in the area of Advanced Measurement and Test. The goal of AMT2013 is to bring together the researchers from academia and industry as well as practitioners to share ideas, problems and solutions relating to the multifaceted aspects of Advanced Measurement and Test.
A new computer architecture named object-attribute is offered in the article. Computer of the architecture have all necessary properties for Artificial Intelligence: abstraction of data and program, height concurrency, isomorphism of data and program (i.e. possibility of painless changing of program and data structures), training and self-training of computer system, dataflow, integration of data and program, generation of object description from simple description to complex description, implementation of distribute computer system.
Child maltreatment is a problem that has longer recognition in the northern hemisphere and in high-income countries. Recent work has highlighted the nearly universal nature of the problem in other countries but demonstrated the lack of comparability of studies because of the variations in definitions and measures used. The International Society for the Prevention of Child Abuse and Neglect has developed instrumentation that may be used with cross-cultural and cross-national benchmarking by local investigators.
Before the global economic meltdown, both the International Accounting Standards Board (IASB) and the Financial Accounting Standards Board (FASB) had begun a joint project to revise and improve their standards on accounting for financial instruments. The global economic crisis highlighted the contemporaneous complication that the existing accounting model for financial instruments is inadequate for complex economic environment. Therefore to support well-functioning global capital markets many interested parties such bankers, financial fnalists and high-level governing bodies urged the IASB and FASB to develop single converged financial reporting model for financial instruments that provides investors with the most useful, transparent, and relevant information. As a result, the IASB issued the exposure draft ED/2012/4 Classification and measurement: limited amendments to IFRS 9 in November 2012 and the FASB presented Tentative Model for the Classification and Measurement of Financial Instruments. Thus Boards have taken significant moves to reach convergence between IFRSs and US GAAP, however an examination of the current requirements in these documents detectes that differences still exist.
An IT security vulnerability can be considered as an inherent weakness in a target system that could be exploited by a threat source. The underlying hypothesis in our proposal is that each identified attribute associated with the target entity to be controlled should show the highest quality satisfaction level as an elementary indicator. The higher the quality indicator value achieved per each attribute, the lower the vulnerability indicator value and therefore the potential impact from the risk standpoint. In the present work, we discuss the added value of supporting the IT security and risk assessment areas with measurement and evaluation (M&E) methods and strategy, which are based on metrics and indicators. Also we illustrate excerpts of an M&E case study for characteristics and attributes of Security, and their potential risk assessment.
This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.