AI Computing Systems

AI Computing Systems
Author: Yunji Chen
Publisher: Elsevier
Total Pages: 450
Release: 2022-10-12
Genre: Computers
ISBN: 0323953980

AI Computing Systems: An Application Driven Perspective adopts the principle of "application-driven, full-stack penetration" and uses the specific intelligent application of "image style migration" to provide students with a sound starting place to learn. This approach enables readers to obtain a full view of the AI computing system. A complete intelligent computing system involves many aspects such as processing chip, system structure, programming environment, software, etc., making it a difficult topic to master in a short time. - Provides an in-depth analysis of the underlying principles behind the use of knowledge in intelligent computing systems - Centers around application-driven and full-stack penetration, focusing on the knowledge required to complete this application at all levels of the software and hardware technology stack - Supporting experimental tutorials covering key knowledge points in each chapter provide practical guidance and formalization tools for developing a simple AI computing system

Smart Technologies and Fundamental Rights

Smart Technologies and Fundamental Rights
Author: John-Stewart Gordon
Publisher: Value Inquiry Book
Total Pages: 384
Release: 2020-12-10
Genre: Philosophy
ISBN: 9789004436732

"Smart Technologies and Fundamental Rights covers a broad range of vital topics that highlight the ethical, socio-political, and legal challenges as well as technical issues of AI with respect to fundamental rights. Either humanity will greatly profit from the use of AI in almost all domains in human life that may eventually lead to a much better and more humane society. Or, it could be the case that people may misuse AI for idiosyncratic purposes as well as intelligent machines may turn against human beings. Therefore, we should be extremely cautious with respect to the technological development of AI because we might not be able to control the machines once they reached a certain level of sophistication"--

Artificial Intelligence for Cloud and Edge Computing

Artificial Intelligence for Cloud and Edge Computing
Author: Sanjay Misra
Publisher: Springer Nature
Total Pages: 358
Release: 2022-01-13
Genre: Computers
ISBN: 3030808211

This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. With this book, readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals.

The Elements of Computing Systems

The Elements of Computing Systems
Author: Noam Nisan
Publisher:
Total Pages: 343
Release: 2008
Genre: Computers
ISBN: 0262640686

This title gives students an integrated and rigorous picture of applied computer science, as it comes to play in the construction of a simple yet powerful computer system.

Artificial Unintelligence

Artificial Unintelligence
Author: Meredith Broussard
Publisher: MIT Press
Total Pages: 247
Release: 2019-01-29
Genre: Computers
ISBN: 026253701X

A guide to understanding the inner workings and outer limits of technology and why we should never assume that computers always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it's just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can't pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.

An Intelligence in Our Image

An Intelligence in Our Image
Author: Osonde A. Osoba
Publisher: Rand Corporation
Total Pages: 45
Release: 2017-04-05
Genre: Computers
ISBN: 0833097636

Machine learning algorithms and artificial intelligence influence many aspects of life today. This report identifies some of their shortcomings and associated policy risks and examines some approaches for combating these problems.

Cognitive Computing for Human-Robot Interaction

Cognitive Computing for Human-Robot Interaction
Author: Mamta Mittal
Publisher: Academic Press
Total Pages: 420
Release: 2021-08-13
Genre: Computers
ISBN: 0323856470

Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: - Introduces several new contributions to the representation and management of humans in autonomous robotic systems; - Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; - Engages with the potential repercussions of cognitive computing and HRI in the real world. - Introduces several new contributions to the representation and management of humans in an autonomous robotic system - Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society - Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Web, Artificial Intelligence and Network Applications

Web, Artificial Intelligence and Network Applications
Author: Leonard Barolli
Publisher: Springer
Total Pages: 1217
Release: 2019-03-14
Genre: Technology & Engineering
ISBN: 3030150356

The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of Web Computing, Intelligent Systems and Internet Computing. As the Web has become a major source of information, techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play key roles in many of today’s prominent Web applications such as e-commerce and computer security. Moreover, the outcome of Web services delivers a new platform for enabling service-oriented systems. The emergence of large scale distributed computing paradigms, such as Cloud Computing and Mobile Computing Systems, has opened many opportunities for collaboration services, which are at the core of any Information System. Artificial Intelligence (AI) is an area of computer science that build intelligent systems and algorithms that work and react like humans. The AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning. They have the potential to become enabling technologies for the future intelligent networks. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important for the future development and innovation of Web and Internet applications.

Funding a Revolution

Funding a Revolution
Author: National Research Council
Publisher: National Academies Press
Total Pages: 300
Release: 1999-02-11
Genre: Computers
ISBN: 0309062780

The past 50 years have witnessed a revolution in computing and related communications technologies. The contributions of industry and university researchers to this revolution are manifest; less widely recognized is the major role the federal government played in launching the computing revolution and sustaining its momentum. Funding a Revolution examines the history of computing since World War II to elucidate the federal government's role in funding computing research, supporting the education of computer scientists and engineers, and equipping university research labs. It reviews the economic rationale for government support of research, characterizes federal support for computing research, and summarizes key historical advances in which government-sponsored research played an important role. Funding a Revolution contains a series of case studies in relational databases, the Internet, theoretical computer science, artificial intelligence, and virtual reality that demonstrate the complex interactions among government, universities, and industry that have driven the field. It offers a series of lessons that identify factors contributing to the success of the nation's computing enterprise and the government's role within it.