From Algorithms to Thinking Machines | The New Digital Power

Domenico Talia

ISBN 13: 9798400708572

Editorial: ACM Books, 2023

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

From Algorithms to Thinking Machines | The New Digital Power

Editor

ACM Books

Fecha de publicaci�n

2023

Idioma

Ingl�s

ISBN 13

9798400708572

Encuadernaci�n

Buch

Estado

Neu

Dimensiones

Peso

772 gramos

Cat�logos de vendedores

B�cher

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Sinopsis

This book introduces and provides an analysis of the basic concepts of algorithms, data, and computation and discusses the role of algorithms in ruling and shaping our world. It provides a clear understanding of the power and impact on humanity of the pervasive use of algorithms.

From Algorithms to Thinking Machines combines a layman’s approach with a well-founded scientific description to discuss both principles and applications of algorithms, Big Data, and machine intelligence. The book provides a clear and deep description of algorithms, software systems, data-driven applications, machine learning, and data science concepts, as well as the evolution and impact of artificial intelligence.

After introducing computing concepts, the book examines the relationships between algorithms and human work, discussing how jobs are being affected and how computers and software programs are influencing human life and the labor sphere. Topics such as value alignment, collective intelligence, Big Data impact, automatic decision methods, social control, and political uses of algorithms are illustrated and discussed at length without excessive technical detail. Issues related to how corporations, governments, and autocratic regimes are exploiting algorithms and machine intelligence methods to influence people, laws, and markets are extensively addressed. Ethics principles in software programming and human value insertion into artificial intelligence algorithms are also discussed.

Acerca del autor

Domenico Talia is a professor of computer engineering at the University of Calabria and an honorary professor at Amity University. His research interests include big data analysis, cloud computing, machine learning, social data mining, parallel and distributed data analysis, mobile computing, and parallel programming. Talia has published 12 books and more than 400 research papers, and is a senior member of ACM and IEEE.

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