Current Progress In Artificial Intelligence
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Current Progress In Artificial Intelligence
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Author : Mick Benson
language : en
Publisher: Clanrye International
Release Date : 2018-02-09
Current Progress In Artificial Intelligence written by Mick Benson and has been published by Clanrye International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-09 with Computers categories.
The intelligence displayed by machines is known as artificial intelligence. It aims to advance the reasoning, processing and learning abilities of machines through statistical models, computational intelligence, etc. Artificial intelligence has applications in multiple industries such as healthcare, automotive, finance, etc. This book unfolds the innovative aspects of artificial intelligence that will be crucial for the progress of this field in the future. The extensive content of this book provides the readers with a thorough understanding of the subject. As this field is emerging at a rapid pace, the contents of this book will help the readers understand the modern concepts and applications of the subject.
The Roles Of Artificial Intelligence In Education
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Author : David McArthur
language : en
Publisher:
Release Date : 1993
The Roles Of Artificial Intelligence In Education written by David McArthur and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Artificial intelligence categories.
Artificial Intelligence Current Developments And Future Prospects
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Author : Jeremy Rogerson
language : en
Publisher:
Release Date : 2016-07-28
Artificial Intelligence Current Developments And Future Prospects written by Jeremy Rogerson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-28 with Computers categories.
Artificial intelligence is a field which is based on the belief that human intelligence can potentially be imitated by a machine. Its sole aim is to build intelligent machines that can perfectly accomplish tasks efficiently with intelligent behaviour. This is a highly specialized field of study which is employed in diverse disciplines. Artificial intelligence has many aspects like reasoning, knowledge, planning, learning and perception but its main focus is general intelligence. Due to its promising future, scientists across the globe are interested in this discipline. There has been rapid progress in this field and its applications are finding their way across multiple industries. This book provides students, researchers, experts and all associated with this field with the most advanced researches in this area to help them keep pace with the current progress in artificial intelligence.
Explainable Ai With Python
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Author : Leonida Gianfagna
language : en
Publisher: Springer Nature
Release Date : 2021-04-28
Explainable Ai With Python written by Leonida Gianfagna and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-28 with Computers categories.
This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches presented can be applied to almost all the current “machine learning” models: linear and logistic regression, deep learning neural networks, natural language processing and image recognition, among the others. Progress in Machine Learning is increasing the use of artificial agents to perform critical tasks previously handled by humans (healthcare, legal and finance, among others). While the principles that guide the design of these agents are understood, most of the current deep-learning models are "opaque" to human understanding. Explainable AI with Python fills the current gap in literature on this emerging topic by taking both a theoretical and a practical perspective, making the reader quickly capable of working with tools and code for Explainable AI. Beginning with examples of what Explainable AI (XAI) is and why it is needed in the field, the book details different approaches to XAI depending on specific context and need. Hands-on work on interpretable models with specific examples leveraging Python are then presented, showing how intrinsic interpretable models can be interpreted and how to produce “human understandable” explanations. Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are “opaque.” Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future. Taking a practical perspective, the authors demonstrate how to effectively use ML and XAI in science. The final chapter explains Adversarial Machine Learning and how to do XAI with adversarial examples.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Preparing For The Future Of Artificial Intelligence
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Author : Executive Office President
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2017-03-12
Preparing For The Future Of Artificial Intelligence written by Executive Office President and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-12 with categories.
Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors. A companion document lays out a strategic plan for Federally-funded research and development in AI. Additionally, in the coming months, the Administration will release a follow-on report exploring in greater depth the effect of AI-driven automation on jobs and the economy. The report was developed by the NSTC's Subcommittee on Machine Learning and Artificial Intelligence, which was chartered in May 2016 to foster interagency coordination, to provide technical and policy advice on topics related to AI, and to monitor the development of AI technologies across industry, the research community, and the Federal Government. The report was reviewed by the NSTC Committee on Technology, which concurred with its contents. The report follows a series of public-outreach activities spearheaded by the White House Office of Science and Technology Policy (OSTP) in 2016, which included five public workshops co-hosted with universities and other associations that are referenced in this report.
Preparing For The Future Of Artificial Intelligence
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Author : Committee on Technology National Science and Technology Council, Committee on Technology
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-10-30
Preparing For The Future Of Artificial Intelligence written by Committee on Technology National Science and Technology Council, Committee on Technology and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-30 with categories.
Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.
The Road To Conscious Machines
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Author : Michael Wooldridge
language : en
Publisher: Penguin UK
Release Date : 2020-03-05
The Road To Conscious Machines written by Michael Wooldridge and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-05 with Computers categories.
'A terrific book - essential reading for everyone seeking to make sense of Artificial Intelligence' Professor Sir Adrian Smith, Director and Chief Executive of the Alan Turing Institute In this myth-busting guide to AI past and present, one of the world's leading researchers shows why our fears for the future are misplaced. The ultimate dream of AI is to build machines that are like us: conscious and self-aware. While this remains a remote possibility, rapid progress in AI is already transforming our world. Yet the public debate is still largely centred on unlikely prospects, from sentient machines to dystopian robot takeovers. In this lively and clear-headed guide, Michael Wooldridge challenges the prevailing narrative, revealing how the hype distracts us from both the more immediate risks that this technology poses - from algorithmic bias to fake news - and the true life-changing potential of the field. The Road to Conscious Machines elucidates the discoveries of AI's greatest pioneers from Alan Turing to Demis Hassabis, and what today's researchers actually think and do. 'Nobody understands the past, the present, the promise and the peril of this new technology better than Michael Wooldridge. The definitive account' Matt Ridley, author of The Rational Optimist 'Effortlessly readable. The perfect guide to the history and future of AI' Tom Chivers, author of The AI Does Not Hate You
Artificial Intelligence In Science
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Author : Alistair Nolan
language : en
Publisher: Fondation Ipsen BookLab
Release Date : 2024-01-05
Artificial Intelligence In Science written by Alistair Nolan and has been published by Fondation Ipsen BookLab this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-05 with Science categories.
The rapid advances of artificial intelligence (AI) in recent years have led to numerous creative applications in science. Accelerating the productivity of science could be the most economically and socially valuable of all the uses of AI. Utilising AI to accelerate scientific productivity will support the ability of OECD countries to grow, innovate and meet global challenges, from climate change to new contagions. This publication is aimed at a broad readership, including policy makers, the public, and stakeholders in all areas of science. It is written in non-technical language and gathers the perspectives of prominent researchers and practitioners. The book examines various topics, including the current, emerging, and potential future uses of AI in science, where progress is needed to better serve scientific advancements, and changes in scientific productivity. Additionally, it explores measures to expedite the integration of AI into research in developing countries. A distinctive contribution is the book’s examination of policies for AI in science. Policy makers and actors across research systems can do much to deepen AI’s use in science, magnifying its positive effects, while adapting to the fast-changing implications of AI for research governance. ABOUT THE AUTHOR Alistair Nolan is a Senior Policy Analyst in the OECD’s Directorate for Science, Technology and Innovation. Prior to the OECD, Mr. Nolan led a range of industry-related analytic and technical assistance projects with the United Nations. Over a number of years at the OECD Alistair has been involved in work on skills and education assessment, entrepreneurship, private sector development and policy evaluation. Alistair is currently coordinating various streams of OECD work on artificial intelligence, and is overseeing the work on AI diffusion under the AI-WIPS project. Mr. Nolan oversaw preparation of the 2017 publication "The Next Production Revolution: Implications for Governments and Business", which examines a variety of emerging technologies, their impacts and policy implications, and which was referenced at the start of the 2017 G7 Taormina Action Plan. Mr. Nolan led work on 2020 publication "The Digitalisation of Science, Technology and Innovation : Key Developments and Policies", which among other topics addresses the role of AI in advanced production.
Preparing For The Future Of Artificial Intelligence
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Author : National Science and Technology Council (U.S.). Committee on Technology. Subcommittee on Machine Learning and Artificial Intelligence
language : en
Publisher:
Release Date : 2016
Preparing For The Future Of Artificial Intelligence written by National Science and Technology Council (U.S.). Committee on Technology. Subcommittee on Machine Learning and Artificial Intelligence and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Artificial intelligence categories.
As a contribution toward preparing the United States for a future in which Artificial Intelligence (AI) plays a growing role, we survey the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. We also make recommendations for specific further actions by Federal agencies and other actors.