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Principles of Artificial Intelligence

Principles of Artificial Intelligence
Author: Nils J. Nilsson
Publisher: Morgan Kaufmann
Total Pages: 493
Release: 2014-06-28
Genre: Computers
ISBN: 1483295869
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A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of the control strategies used. Principles of Artificial Intelligenceevolved from the author's courses and seminars at Stanford University and University of Massachusetts, Amherst, and is suitable for text use in a senior or graduate AI course, or for individual study.

Principles of Artificial Intelligence

Principles of Artificial Intelligence
Author: Nils J. Nilsson
Publisher: Springer Science & Business Media
Total Pages: 504
Release: 1982-05-01
Genre: Computers
ISBN: 9783540113409
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Previous treatments of Artificial Intelligence (AI) divide the subject into its major areas of application, namely, natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, intelligent data retrieval systems, etc. The major difficulty with this approach is that these application areas are now so extensive, that each could, at best, be only superficially treated in a book of this length. Instead, I have attempted here to describe fundamental AI ideas that underlie many of these applications. My organization of these ideas is not, then, based on the subject matter of their application, but is, instead, based on general computational concepts involving the kinds of data structures used, the types of operations performed on these data struc tures, and the properties of con'trol strategies used by AI systems. I stress, in particular, the important roles played in AI by generalized production systems and the predicate calculus. The notes on which the book is based evolved in courses and seminars at Stanford University and at the University of Massachusetts at Amherst. Although certain topics treated in my previous book, Problem solving Methods in Artificial Intelligence, are covered here as well, this book contains many additional topics such as rule-based systems, robot problem-solving systems, and structured-object representations.

The Principles of Deep Learning Theory

The Principles of Deep Learning Theory
Author: Daniel A. Roberts
Publisher: Cambridge University Press
Total Pages: 473
Release: 2022-05-26
Genre: Computers
ISBN: 1316519333
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This volume develops an effective theory approach to understanding deep neural networks of practical relevance.

Principles and Methods of Explainable Artificial Intelligence in Healthcare

Principles and Methods of Explainable Artificial Intelligence in Healthcare
Author: Victor Hugo C. De Albuquerque
Publisher: Medical Information Science Reference
Total Pages: 325
Release: 2022
Genre:
ISBN: 9781668437919
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"This book focuses on the Explainable Artificial Intelligence (XAI) for healthcare, providing a broad overview of state-of-art approaches for accurate analysis and diagnosis, and encompassing computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, medical imaging data that assist in earlier prediction"--

Artificial Intelligence

Artificial Intelligence
Author: Masoud Yazdani
Publisher: Chapman & Hall
Total Pages: 380
Release: 1986
Genre: Computers
ISBN:
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Principles of Responsible Management Education (PRME) in the Age of Artificial Intelligence (AI)

Principles of Responsible Management Education (PRME) in the Age of Artificial Intelligence (AI)
Author: Agata Stachowicz-Stanusch
Publisher: Information Age Publishing
Total Pages:
Release: 2021
Genre: Artificial intelligence
ISBN: 9781648025440
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"Artificial intelligence (AI) technologies are one of the top investment priorities in these days. We may expect that by 2030, some 800 million jobs will have disappeared and taken over by machines, and artificial intelligence will reach human levels by around 2029. Follow that out further to 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold. The time of machines requires new forms of work and new ways of business education. This book is authored by a range of international experts with a diversity of backgrounds and perspectives hopefully bringing us closer to the responses for the questions like how may AI be used /or is a threat for PRME implementation, how will AI impact the business education world or what we should teach in business school in the time of AI (what the 'right' set of future skills is)? In our book, we will try to address the following questions: 1. How will AI impact the business education world? 2. How may AI be used /or is it a threat for PRME implementation? 3. What we should teach (what the 'right' set of future skills is)? 4. How should we teach (the way in which schools should teach and assess them)? 5. Where should we teach (what implications does AI have for today's education infrastructure)?"--

Artificial Intelligence in Society

Artificial Intelligence in Society
Author: OECD
Publisher: OECD Publishing
Total Pages: 152
Release: 2019-06-11
Genre:
ISBN: 9264545190
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The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.

Principles of Quantum Artificial Intelligence

Principles of Quantum Artificial Intelligence
Author: Andreas Wichert
Publisher: World Scientific Publishing Company
Total Pages: 0
Release: 2014
Genre: Artificial intelligence
ISBN: 9789814566742
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In this book, we introduce quantum computation and its application to AI. We highlight problem solving and knowledge representation framework. Based on information theory, we cover two main principles of quantum computation -- Quantum Fourier transform and Grover search. Then, we indicate how these two principles can be applied to problem solving and finally present a general model of a quantum computer that is based on production systems.

AI Crash Course

AI Crash Course
Author: Hadelin de Ponteves
Publisher: Packt Publishing Ltd
Total Pages: 361
Release: 2019-11-29
Genre: Computers
ISBN: 1838645551
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Unlock the power of artificial intelligence with top Udemy AI instructor Hadelin de Ponteves. Key FeaturesLearn from friendly, plain English explanations and practical activitiesPut ideas into action with 5 hands-on projects that show step-by-step how to build intelligent softwareUse AI to win classic video games and construct a virtual self-driving carBook Description Welcome to the Robot World ... and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. What you will learnMaster the basics of AI without any previous experienceBuild fun projects, including a virtual-self-driving car and a robot warehouse workerUse AI to solve real-world business problemsLearn how to code in PythonDiscover the 5 principles of reinforcement learningCreate your own AI toolkitWho this book is for If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level).