by
Shi, Zhongzhi.
Call Number
006.3 22
Publication Date
2011
Summary
Artificial intelligence is a branch of computer science and a discipline in the study of machine intelligence, that is, developing intelligent machines or intelligent systems imitating, extending and augmenting human intelligence through artificial means and techniques to realize intelligent behavior. Advanced Artificial Intelligence consists of 16 chapters. The content of the book is novel. It reflects the research updates in this field and especially summarizes the author's scientific efforts over many years. The book discusses the methods and key technology from theory, algorithm, system and applications related to artificial intelligence. This book can be regarded as a textbook for senior students or graduate students in the information field and related tertiary specialities. It is also suitable as a reference book for relevant scientific and technical personnel.
Format:
Electronic Resources
Relevance:
143756.2969
by
Haigh, Karen.
Call Number
623.043 23
Publication Date
2021
Summary
This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization.
Format:
Electronic Resources
Relevance:
143753.4688
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by
Hefft, Daniel.
Call Number
664.024
Publication Date
2023
Summary
This book gives readers a practical introduction to machine learning and sensing techniques, their design and ultimately specific applications that could improve food production. It shows how these sensing and computing systems are suitable for process implementation in food factories.
Format:
Electronic Resources
Relevance:
134470.7188
by
Campesato, Oswald, author.
Call Number
006.3 23
Publication Date
2020
Summary
Introducing advanced beginners to basic machine learning and deep learning concepts and algorithms, this book is intended to be a fast-paced introduction to various core features of machine learning and deep learning, with code samples that are included in a university course. --
Format:
Electronic Resources
Relevance:
126780.4922
by
Shukla, Ashutosh Kumar.
Call Number
664.07
Publication Date
2020
Format:
Electronic Resources
Relevance:
120272.1875
by
Payne, Kenneth, 1974- author.
Call Number
355.02 23
Publication Date
2018
Summary
This book is about the psychological and biological bases of strategy making in war as they have evolved in humans over our history as a species. The book is also a cautionary preview of how Artificial Intelligence (AI) will revolutionize strategy more than any development in the last three thousand years of military history. Machines will make important decisions about war on both sides, and they may do so without input from humans. Kenneth Payne describes strategy as an evolved package of conscious and unconscious behaviors with roots in our primate ancestry. Human-made strategy is influenced by emotion as well as reason, with both positive and negative results. The strategic implications of AI are profound because they depart radically from the biological basis of human intelligence. Rather than being just another tool of war, AI will exponentially speed up decisionmaking, make choices humans might not make, and force faster actions and reactions. This book is a fascinating examination of the psychology of strategy-making from prehistoric times, through the ancient world, and into the modern age. It also offers a concerning preview of a future when humans cede at least some control over their destiny.
Format:
Electronic Resources
Relevance:
114673.3906
by
Catalonian Conference on AI (8th : 2005 : Alghero, Italy)
Call Number
006.3 22
Publication Date
2005
Summary
Provides a representative selection of papers promoting synergies in the research community and includes papers on: Neural Networks, Computer Vision, Applications, Machine Learning, Reasoning, Planning and Robotics, and Multi-Agent Systems. These papers are useful to those computer scientists' or engineers' interested in Artificial Intelligence.
Format:
Electronic Resources
Relevance:
114661.9063
by
Haleṿi, Gavriʼel.
Call Number
345.0252 23
Publication Date
2013
Format:
Electronic Resources
Relevance:
109799.9688
by
Rondeau, Thomas Warren.
Call Number
621.384 22
Publication Date
2009
Format:
Electronic Resources
Relevance:
105488.3594
by
Wichert, Andrzej, author.
Call Number
004.1 23
Publication Date
2014
Format:
Electronic Resources
Relevance:
101654.6484
by
Carter, Matt, 1975-
Call Number
006.31 22
Publication Date
2007
Summary
Could a computer have a mind? What kind of machine would this be? Exactly what do we mean by 'mind' anyway? The notion of the 'intelligent' machine, whilst continuing to feature in numerous entertaining and frightening fictions, has also been the focus of a serious and dedicated research tradition. Reflecting on these fictions, and on the research tradition that pursues 'Artificial Intelligence', raises a number of vexing philosophical issues. Minds and Computers introduces readers to these issues by offering an engaging, coherent, and highly approachable interdisciplinary introduction to the.
Format:
Electronic Resources
Relevance:
98208.2734
by
Rasskin-Gutman, Diego.
Call Number
794.1019 23
Publication Date
2009
Format:
Electronic Resources
Relevance:
98205.4922
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