by
Stirling, Wynn C.
Call Number
003.56 22
Publication Date
2003
Summary
This book outlines an alternative approach to mathematical decision making, using novel algorithms and techniques to more closely model the way humans make decisions. It will be of great interest to engineers, computer scientists and mathematicians working on artificial intelligence and expert systems.
Format:
Electronic Resources
Relevance:
0.0579
by
Wilks, Yorick, 1939-
Call Number
006.3 22
Publication Date
2010
Format:
Electronic Resources
Relevance:
0.0520
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by
Dumouchel, Paul, 1951- author.
Call Number
303.483 23
Publication Date
2017
Summary
Living with Robots recounts a foundational shift in the field of robotics, from artificial intelligence to artificial empathy, and foreshadows an inflection point in human evolution. Today's robots engage with human beings in socially meaningful ways, as therapists, trainers, mediators, caregivers, and companions. Social robotics is grounded in artificial intelligence, but the field's most probing questions explore the nature of the very real human emotions that social robots are designed to emulate. Social roboticists conduct their inquiries out of necessity--every robot they design incorporates and tests a number of hypotheses about human relationships. Paul Dumouchel and Luisa Damiano show that as roboticists become adept at programming artificial empathy into their creations, they are abandoning the conventional conception of human emotions as discrete, private, internal experiences. Rather, they are reconceiving emotions as a continuum between two actors who coordinate their affective behavior in real time. Rethinking the role of sociability in emotion has also led the field of social robotics to interrogate a number of human ethical assumptions, and to formulate a crucial political insight: there are simply no universal human characteristics for social robots to emulate. What we have instead is a plurality of actors, human and nonhuman, in noninterchangeable relationships. As Living with Robots shows, for social robots to be effective, they must be attentive to human uniqueness and exercise a degree of social autonomy. More than mere automatons, they must become social actors, capable of modifying the rules that govern their interplay with humans.--
Format:
Electronic Resources
Relevance:
0.0469
by
Saleh, Hyatt.
Call Number
006.31 23
Publication Date
2020
Summary
With this hands-on, self-paced guide, you'll explore crucial deep learning topics and discover the structure and syntax of PyTorch. Challenging activities and interactive exercises will keep you motivated and encourage you to build intelligent applications effectively.
Format:
Electronic Resources
Relevance:
0.0430
by
Auffarth, Ben.
Call Number
005.133 23
Publication Date
2020
Summary
If you are looking to build next-generation AI solutions for work or even for your pet projects, you'll find this cookbook useful. With the help of easy-to-follow recipes, this book will take you through the advanced AI and machine learning approaches and algorithms that are required to build smart models for problem-solving.
Format:
Electronic Resources
Relevance:
0.0409
by
Diver, Richard, author.
Call Number
004.6782 23
Publication Date
2020
Summary
Azure Sentinel is an intelligent security service from Azure where Microsoft's main focus on developing sentinel is to integrate and bring together cloud security and artificial intelligence into effect. Here readers will gain enough understanding to make the most of Azure services to secure their environment from modern cybersecurity threats.
Format:
Electronic Resources
Relevance:
0.0409
by
Valle, Rafael, 1985- author.
Call Number
006.31 23
Publication Date
2019
Summary
This book will explore deep learning and generative models, and their applications in artificial intelligence. You will learn to evaluate and improve your GAN models by eliminating challenges that are encountered in real-world applications. You will implement GAN architectures in various domains such as computer vision, NLP, and audio processing.
Format:
Electronic Resources
Relevance:
0.0409
by
Dop, Thomas, author.
Call Number
006.35 23
Publication Date
2020
Format:
Electronic Resources
Relevance:
0.0400
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