This open access book presents how cutting-edge digital technologies like Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies facilitate banks, FinTechs, and financial institutions to collect, process, analyze, and fully leverage the very large amounts of data that are nowadays produced and exchanged in the sector. To this end, the book also introduces some of the most popular Big Data, AI and Blockchain applications in the sector, including novel applications in the areas of Know Your Customer (KYC), Personalized Wealth Management and Asset Management, Portfolio Risk Assessment, as well as variety of novel Usage-based Insurance applications based on Internet-of-Things data. Most of the presented applications have been developed, deployed and validated in real-life digital finance settings in the context of the European Commission funded INFINITECH project, which is a flagship innovation initiative for Big Data and AI in digital finance. This book is ideal for researchers and practitioners in Big Data, AI, banking and digital finance. Introduces the latest advances in Big Data and AI in Digital Finance that enable scalable, effective, and real-time analytics; Explains the merits of Blockchain technology in digital finance, including applications beyond the blockbuster cryptocurrencies; Presents practical applications of cutting edge digital technologies in the digital finance sector; Illustrates the regulatory environment of the financial sector and presents technical solutions that boost compliance to applicable regulations; This book is open access, which means that you have free and unlimited access.
AI苏醒: 科幻电影的思想实验室
A novel type of vector algebra can be constructed for these ordered pairs of vectors , which are then referred to as dual vectors ( Brand , 1947 ) . It is directly analogous to the usual vector algebra , but with a new kind of dot ...
Specifically, UTOOLS imports MOSS import/export files produced by MOSS, ARC-INFO, or other GIS systems, ERDAS GIS files, USGS DEMs, ASCII flat-files, and database files produced by Dbase, Rbase, and other DMBS. 30) User-designed inputs: ...
See, for example, Laird, Rosenbloom and Newell [4] and Newell [8]. These researchers claim that certain empirical results on human acquisition of cognitive skills, such as the so-called power law of learning, can be explained by taking ...
"After AI: Strategies to Survive & Thrive" examines ways to actively promote the natural human attributes that give us that advantage: the stuff that makes us MORE THAN MACHINES.
"Updated edition of popular textbook on Artificial Intelligence. This edition specific looks at ways of keeping artificial intelligence under control"--
... Motorola Manufacturing Systems , Boynton Beach , Florida . “ Good robotic systems can handle these tasks and help Motorola achieve Six Sigma quality . " S 5 Micromechanical manipulators , molecular robotics , nanorobotics are names ...
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Randomization and Approximation Techniques in Computer Science: Second International Workshop, RANDOM '98, Barcelona, Spain, October 8-10, 1998 : Proceedings
And what Davies fears is the inability of a system which ( prima facie ) lacks such recurrent abstractions to meet the demand of strict causal systematicity of inferential transitions . The upshot of it all , according to Davies ( 1991 ...