Artificial Intelligence Foundations

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Artificial Intelligence And Machine Learning Foundations

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Author : Andrew Lowe
language : en
Publisher: BCS, the Chartered Institute for IT
Release Date : 2024-10-28

Artificial Intelligence And Machine Learning Foundations written by Andrew Lowe and has been published by BCS, the Chartered Institute for IT this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-28 with Computers categories.

In alignment with BCS AI Foundation and Essentials certificates, this introductory guide provides the understanding you need to start building artificial intelligence (AI) capability into your organisation. You will learn how AI is being utilised today to support products, services, science and engineering, and how it is likely to be used in the future to balance the talents of humans and machines. You will explore robotics and machine learning within the context of AI, and discover how the challenges AI presents are being addressed. You will delve into the theory behind AI and machine learning projects, examining techniques for learning from data, the use of neural networks and why algorithms are so important in the development of a new AI agent or system.

Artificial Intelligence Foundations

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Author : Andrew Lowe
language : en
Publisher: BCS, The Chartered Institute for IT
Release Date : 2020-08-24

Artificial Intelligence Foundations written by Andrew Lowe and has been published by BCS, The Chartered Institute for IT this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with categories.

In line with the BCS AI Foundation and Essentials certificates, this book guides you through the world of AI. You will learn how AI is being utilised today, and how it is likely to be used in the future. You will explore robotics and machine learning within the context of AI, and discover how the challenges AI presents are being addressed.

Artificial Intelligence Foundations

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Author : Doug Rose
language : en
Publisher: Independently Published
Release Date : 2019-03-31

Artificial Intelligence Foundations written by Doug Rose and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-31 with Computers categories.

This tutorial provides introductory knowledge on Artificial Intelligence. It would come to a great help if you are about to select Artificial Intelligence as a course subject. You can briefly know about the areas of AI in which research is prospering.This tutorial is prepared for the students at beginner level who aspire to learn Artificial Intelligence.

Artificial Intelligence

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Author : David L. Poole
language : en
Publisher: Cambridge University Press
Release Date : 2017-09-25

Artificial Intelligence written by David L. Poole and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-25 with Computers categories.

Artificial Intelligence presents a practical guide to AI, including agents, machine learning and problem-solving simple and complex domains.

Artificial Intelligence Foundations Machine Learning

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Author :
language : en
Publisher:
Release Date : 2018

Artificial Intelligence Foundations Machine Learning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.

Learn how to use machine learning to make better decisions and find patterns in your data.

Engineering Mathematics And Artificial Intelligence

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Author : Herb Kunze
language : en
Publisher: CRC Press
Release Date : 2023-07-26

Engineering Mathematics And Artificial Intelligence written by Herb Kunze and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Computers categories.

The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AI/ML and provides an overview of the current research streams. Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for researchers, practitioners, engineers, and AI consultants.

Knowledge Graphs For Explainable Artificial Intelligence Foundations Applications And Challenges

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Author : Freddy Lécué
language : en
Publisher: SAGE Publications Limited
Release Date : 2020-05-06

Knowledge Graphs For Explainable Artificial Intelligence Foundations Applications And Challenges written by Freddy Lécué and has been published by SAGE Publications Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-06 with Computers categories.

The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form. This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI. The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.

Generative Ai Foundations Developments And Applications

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Author : Kannan, Rajkumar
language : en
Publisher: IGI Global
Release Date : 2025-03-26

Generative Ai Foundations Developments And Applications written by Kannan, Rajkumar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Computers categories.

In recent years, the field of generative artificial intelligence (AI) has witnessed remarkable advancements, transforming various domains from art and music to language and healthcare. Advanced techniques, such as conditional generation, style transfer, and unsupervised learning, showcase the cutting-edge research shaping the field. The ability of generative AI models to create novel content autonomously has sparked immense interest and innovation. Future directions provide speculations for potential breakthroughs, challenges, and opportunities for further research and innovation. Generative AI Foundations, Developments, and Applications serves as a resource to understanding generative AI across various domains including natural language processing, computer vision, and drug discovery. It explores the theoretical foundations, latest developments, and practical applications of generative AI. Covering topics such as prompt engineering, multimodal data fusion, and natural language processing, this book is an excellent resource for computer scientists, computer engineers, practitioners, professionals, researchers, scholars, academicians, and more.

Artificial Intelligence Foundations Applications And Future Directions

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Author : Ahmet Gürkan YÜKSEK•
language : en
Publisher: Livre de Lyon
Release Date : 2025-03-23

Artificial Intelligence Foundations Applications And Future Directions written by Ahmet Gürkan YÜKSEK• and has been published by Livre de Lyon this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-23 with Computers categories.

Foundations Of Artificial Intelligence

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Author : David Kirsh
language : en
Publisher: MIT Press
Release Date : 1992

Foundations Of Artificial Intelligence written by David Kirsh and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.

In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position.Have the classical methods and ideas of AI outlived their usefulness? Foundations of Artificial Intelligence critically evaluates the fundamental assumptions underpinning the dominant approaches to AI. In the 11 contributions, theorists historically associated with each position identify the basic tenets of their position. They discuss the underlying principles, describe the natural types of problems and tasks in which their approach succeeds, explain where its power comes from, and what its scope and limits are. Theorists generally skeptical of these positions evaluate the effectiveness of the method or approach and explain why it works - to the extent they believe it does - and why it eventually fails.ContentsFoundations of AI: The Big Issues, D. Kirsh - Logic and Artificial Intelligence, N. J. Nilsson - Rigor Mortis: A Response to Nilsson's 'Logic and Artificial Intelligence, ' L. Birnbaum - Open Information Systems Semantics for Distributed Artificial Intelligence, C. Hewitt - Social Conceptions of Knowledge and Action: DAI Foundations and Open Systems Semantics, L. Gasser - Intelligence without Representation, R. A. Brooks - Today the Earwig, Tomorrow Man? D. Kirsh - On the Thresholds of Knowledge, D. B. Lenat, E. A. Feigenbaum - The Owl and the Electric Encyclopedia, B. C. Smith - A Preliminary Analysis of the Soar Architecture as a Basis for General Intelligence, P. S. Rosenbloom, J. E. Laird, A. Newell, R. McCarl - Approaches to the Study of Intelligence, D. A. Norman