Mind Training Like Ai

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Mind Training Like AI

Author : Alfonso Borello
Publisher : Villaggio Publishing Ltd.
ISBN 13 :
Total Pages : 81 pages
Book Rating : 4./5 ( download)

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Book Synopsis Mind Training Like AI by : Alfonso Borello

Download or read book Mind Training Like AI written by Alfonso Borello and published by Villaggio Publishing Ltd.. This book was released on with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine a world where minds are sculpted like AI: each individual undergoing a transformative process akin to neural network training. Here, the concept of "mind training like AI" takes center stage—a provocative notion challenging traditional views of learning and self-improvement. Picture human minds as dynamic entities, continuously evolving and adapting, shaped by the principles of artificial intelligence. In this realm, the boundaries between human cognition and machine learning blur, ushering in a new era of cognitive enhancement. Layers of knowledge, experiences, and insights intertwine to form a dynamic network of cognitive pathways. Minds become fluid, adaptive entities, responding to stimuli and feedback in real-time, much like the algorithms of AI. This work invites you to envision a future where the synergy between human intelligence and machine learning knows no bounds. It challenges conventional notions of human potential, offering a glimpse into the transformative power of mind training like AI. As we explore this concept further, we unlock the secrets of human cognition and chart a course towards unprecedented levels of intelligence and self-discovery.

T-Minus AI

Author : Michael Kanaan
Publisher : BenBella Books
ISBN 13 : 1950665135
Total Pages : 249 pages
Book Rating : 4.9/5 (56 download)

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Book Synopsis T-Minus AI by : Michael Kanaan

Download or read book T-Minus AI written by Michael Kanaan and published by BenBella Books. This book was released on 2020-08-25 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Late in 2017, the global significance of the conversation about artificial intelligence (AI) changed forever. China put the world on alert when it released a plan to dominate all aspects of AI across the planet. Only weeks later, Vladimir Putin raised a Russian red flag in response by declaring AI the future for all humankind, and proclaiming that, "Whoever becomes the leader in this sphere will become the ruler of the world." The race was on. Consistent with their unique national agendas, countries throughout the world began plotting their paths and hurrying their pace. Now, not long after, the race has become a sprint. Despite everything at stake, to most of us AI remains shrouded by a cloud of mystery and misunderstanding. Hidden behind complicated and technical jargon and confused by fantastical depictions of science fiction, the modern realities of AI and its profound implications are hard to decipher, but crucial to recognize. In T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power, author Michael Kanaan explains AI from a human-oriented perspective we can all finally understand. A recognized national expert and the U.S. Air Force's first Chairperson for Artificial Intelligence, Kanaan weaves a compelling new view on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning. Kanaan also dives into the global implications of AI by illuminating the cultural and national vulnerabilities already exposed and the pressing issues now squarely on the table. AI has already become China's all-purpose tool to impose its authoritarian influence around the world. Russia, playing catch up, is weaponizing AI through its military systems and now infamous, aggressive efforts to disrupt democracy by whatever disinformation means possible. America and like-minded nations are awakening to these new realities—and the paths they're electing to follow echo loudly the political foundations and, in most cases, the moral imperatives upon which they were formed. As we march toward a future far different than ever imagined, T-Minus AI is fascinating and crucially well-timed. It leaves the fiction behind, paints the alarming implications of AI for what they actually are, and calls for unified action to protect fundamental human rights and dignities for all.

Deep Learning for Coders with fastai and PyTorch

Author : Jeremy Howard
Publisher : O'Reilly Media
ISBN 13 : 1492045497
Total Pages : 624 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Deep Learning for Coders with fastai and PyTorch by : Jeremy Howard

Download or read book Deep Learning for Coders with fastai and PyTorch written by Jeremy Howard and published by O'Reilly Media. This book was released on 2020-06-29 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Artificial Intelligence

Author : Melanie Mitchell
Publisher : Farrar, Straus and Giroux
ISBN 13 : 0374715238
Total Pages : 216 pages
Book Rating : 4.3/5 (747 download)

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Book Synopsis Artificial Intelligence by : Melanie Mitchell

Download or read book Artificial Intelligence written by Melanie Mitchell and published by Farrar, Straus and Giroux. This book was released on 2019-10-15 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: “After reading Mitchell’s guide, you’ll know what you don’t know and what other people don’t know, even though they claim to know it. And that’s invaluable." –The New York Times A leading computer scientist brings human sense to the AI bubble No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

Rebooting AI

Author : Gary Marcus
Publisher : Vintage
ISBN 13 : 1524748269
Total Pages : 290 pages
Book Rating : 4.5/5 (247 download)

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Book Synopsis Rebooting AI by : Gary Marcus

Download or read book Rebooting AI written by Gary Marcus and published by Vintage. This book was released on 2019-09-10 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a robust artificial intelligence that can make our lives better. “Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” —Garry Kasparov, former world chess champion and author of Deep Thinking Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

Artificial Intelligence in Behavioral and Mental Health Care

Author : David D. Luxton
Publisher : Academic Press
ISBN 13 : 0128007923
Total Pages : 309 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Artificial Intelligence in Behavioral and Mental Health Care by : David D. Luxton

Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings

Ah! Why AI Keeps Making Things Up

Author : Alfonso Borello
Publisher : Villaggio Publishing Ltd.
ISBN 13 :
Total Pages : 65 pages
Book Rating : 4./5 ( download)

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Book Synopsis Ah! Why AI Keeps Making Things Up by : Alfonso Borello

Download or read book Ah! Why AI Keeps Making Things Up written by Alfonso Borello and published by Villaggio Publishing Ltd.. This book was released on 2024-04-18 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the Secrets of Artificial Creativity Dive into the enigmatic realm of artificial intelligence as we unravel the mysteries behind its unexpected and sometimes downright perplexing behavior. In "Why AI Keeps Making Things Up," we embark on a captivating journey through the fascinating world of AI's creative tendencies. Have you ever wondered why AI systems sometimes seem to veer off into the realm of imagination, conjuring up stories and scenarios that seem too surreal to be true? Through a careful examination of adversarial attacks, data corruption, bias and skew, data drift, and robustness issues, we uncover the hidden forces at play behind AI's imaginative creations. From deceptive adversaries seeking to distort AI's perception of reality to the subtle biases and distortions lurking within our training data, every chapter of this book offers fresh insights and eye-opening revelations. Through compelling case studies and real-world examples, we witness firsthand the impact of AI's creative quirks on industries ranging from finance and healthcare to entertainment and beyond. But fear not, for amid the chaos of AI's creative escapades, we also discover a glimmer of hope. Armed with robust mitigation strategies and forward-thinking approaches, we uncover pathways toward a future where AI's imaginative powers can be harnessed for good, unlocking new possibilities and transforming the way we interact with technology. Engaging, enlightening, and thought-provoking, "Why AI Keeps Making Things Up" is a must-read for anyone intrigued by the inner workings of artificial intelligence. Whether you're a seasoned AI practitioner, a curious enthusiast, or simply a lover of captivating stories, this book promises to challenge your perceptions and ignite your imagination. Are you ready to uncover the secrets of artificial creativity? Join us on this unforgettable expedition into the heart of AI's most intriguing mysteries. And don’t forget premium, for the ultimate crucial experiment.

The Smarter Screen

Author : Shlomo Benartzi
Publisher : Penguin
ISBN 13 : 0698194306
Total Pages : 258 pages
Book Rating : 4.6/5 (981 download)

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Book Synopsis The Smarter Screen by : Shlomo Benartzi

Download or read book The Smarter Screen written by Shlomo Benartzi and published by Penguin. This book was released on 2015-10-06 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A leading behavioral economist reveals the tools that will improve our decision making on screens Office workers spend the majority of their waking hours staring at screens. Unfortunately, few of us are aware of the visual biases and behavioral patterns that influence our thinking when we’re on our laptops, iPads, smartphones, or smartwatches. The sheer volume of information and choices available online, combined with the ease of tapping "buy," often make for poor decision making on screens. In The Smarter Screen, behavioral economist Shlomo Benartzi reveals a tool kit of interventions for the digital age. Using engaging reader exercises and provocative case studies, Benartzi shows how digital designs can influence our decision making on screens in all sorts of surprising ways. For example: • You’re more likely to add bacon to your pizza if you order online. • If you read this book on a screen, you’re less likely to remember its content. • You might buy an item just because it’s located in a screen hot spot, even if better options are available. • If you shop using a touch screen, you’ll probably overvalue the product you’re considering. • You’re more likely to remember a factoid like this one if it’s displayed in an ugly, difficult-to-read font. Drawing on the latest research on digital nudging, Benartzi reveals how we can create an online world that helps us think better, not worse.

The Alignment Problem: Machine Learning and Human Values

Author : Brian Christian
Publisher : W. W. Norton & Company
ISBN 13 : 039363583X
Total Pages : 459 pages
Book Rating : 4.3/5 (936 download)

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Book Synopsis The Alignment Problem: Machine Learning and Human Values by : Brian Christian

Download or read book The Alignment Problem: Machine Learning and Human Values written by Brian Christian and published by W. W. Norton & Company. This book was released on 2020-10-06 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them. Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us—and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole—and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they—and we—succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture—and finds a story by turns harrowing and hopeful.

The Myth of Artificial Intelligence

Author : Erik J. Larson
Publisher : Harvard University Press
ISBN 13 : 0674983513
Total Pages : 321 pages
Book Rating : 4.6/5 (749 download)

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Book Synopsis The Myth of Artificial Intelligence by : Erik J. Larson

Download or read book The Myth of Artificial Intelligence written by Erik J. Larson and published by Harvard University Press. This book was released on 2021-04-06 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.

Mind Mapping and Artificial Intelligence

Author : Jose Maria Guerrero
Publisher : Academic Press
ISBN 13 : 0128202424
Total Pages : 254 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Mind Mapping and Artificial Intelligence by : Jose Maria Guerrero

Download or read book Mind Mapping and Artificial Intelligence written by Jose Maria Guerrero and published by Academic Press. This book was released on 2022-10-22 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the near future, we will see an increase in the development and use of all sorts of AI applications. Some of the more promising areas will be Finance, Healthcare, IoT, Manufacturing, Journalism, and Cybersecurity. Many of these applications generate a great amount of complex information. Natural Language Understanding is one of the most clear examples. Traditional ways of visualizing complex information, namely linear text, web pages and hyperlink-based applications, have serious productivity problems. Users need a lot of time to visualize the information and have problems seeing the whole picture of the results. Mind mapping is probably the only way of reducing the problems inherent in these traditional ways of visualizing complex information. Most people have no clear idea about the advantages of mind mapping or the problems created by the traditional ways of visualizing complex information. The goal of Mind Mapping and Artificial Intelligence is to provide readers with an introduction to mind mapping and artificial intelligence, to the problems of using traditional ways of visualizing complex information and as an introduction to mind mapping automation and its integration into Artificial Intelligence applications such as NLU and others. As more applications of Artificial Intelligence are developed in the near future, the need for the improvement of the visualization of the information generated will increase exponentially. Information overload will soon also happen in AI applications. This will diminish the advantages of using AI. Author José Maria Guerrero is a long-time expert in mind mapping and visualization techniques. In this book he also introduces readers to MindManager mind mapping software, which can considerably reduce the problems associated with the interpretation of complex information generated by Artificial Intelligence software. - Provides coverage of the fundamentals of mind mapping and visualization applied to Artificial Intelligence applications - Includes coverage of the scientific bases for mind mapping for the visualization of complex information - Introduces MindManager software for mind mapping - Introduces the author's MindManager toolkit for the readers to use in development of new mind mapping applications - Includes case studies and real-world applications of MindManager for AI applications, including examples using IBM Watson NLU

Possible Minds

Author : John Brockman
Publisher : Penguin
ISBN 13 : 0525558004
Total Pages : 322 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Possible Minds by : John Brockman

Download or read book Possible Minds written by John Brockman and published by Penguin. This book was released on 2019-02-19 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science world luminary John Brockman assembles twenty-five of the most important scientific minds, people who have been thinking about the field artificial intelligence for most of their careers, for an unparalleled round-table examination about mind, thinking, intelligence and what it means to be human. "Artificial intelligence is today's story--the story behind all other stories. It is the Second Coming and the Apocalypse at the same time: Good AI versus evil AI." --John Brockman More than sixty years ago, mathematician-philosopher Norbert Wiener published a book on the place of machines in society that ended with a warning: "we shall never receive the right answers to our questions unless we ask the right questions.... The hour is very late, and the choice of good and evil knocks at our door." In the wake of advances in unsupervised, self-improving machine learning, a small but influential community of thinkers is considering Wiener's words again. In Possible Minds, John Brockman gathers their disparate visions of where AI might be taking us. The fruit of the long history of Brockman's profound engagement with the most important scientific minds who have been thinking about AI--from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram--Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures, such as computer scientist Stuart Russell, Skype co-founder Jaan Tallinn, and physicist Max Tegmark, are deeply concerned with the threat of AI, including the existential one, while others, notably robotics entrepreneur Rodney Brooks, philosopher Daniel Dennett, and bestselling author Steven Pinker, have a very different view. Serious, searching and authoritative, Possible Minds lays out the intellectual landscape of one of the most important topics of our time.

Artificial Intelligence and the Future of Us

Author : Frances Mahan
Publisher : iUniverse
ISBN 13 : 1532088353
Total Pages : 280 pages
Book Rating : 4.5/5 (32 download)

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Book Synopsis Artificial Intelligence and the Future of Us by : Frances Mahan

Download or read book Artificial Intelligence and the Future of Us written by Frances Mahan and published by iUniverse. This book was released on 2019-11-26 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this book, I want to spark the curiosity of you, the reader to imagine a future world unlike you have never seen before in movies or any other books you have read. Think of a future where everything you think and create with your imagination could become possible. This book is about using the gift of imagination as you go deep into the conscious levels of the mind to bring forth multiple ideas that will become a reality one day. As we, this new generation of Artificial Intelligence enthusiast use the mind to create the ultimate thinking machine and connect it to a brain, we see how this interaction with innovation creates unexpected results. Frances Mahan have a deep insatiable curiosity to understand, to learn and know how neuroscience and the powerful mysteries of the brain and its neurons influences how we think and communicate. She is eager to understand at a deep conscious level of her mind how the universe with the power of the conscious mind work together. Her interest to know more about the universe began when she went deep into a meditation and discover her ability to see beyond the now; She learned how it is possible for ideas to flow easily into the mind if we concentrate deeply at a conscious level in meditation. She was able to see images of the universe in a meditation with her eyes closed. A mystery she still pondering upon even today. The rest is in this book.

Transforming Special Education Through Artificial Intelligence

Author : Walters, Annette G.
Publisher : IGI Global
ISBN 13 :
Total Pages : 656 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Transforming Special Education Through Artificial Intelligence by : Walters, Annette G.

Download or read book Transforming Special Education Through Artificial Intelligence written by Walters, Annette G. and published by IGI Global. This book was released on 2024-10-25 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Special education encounters distinct challenges in delivering personalized and practical assistance to students with disabilities. Educators frequently require support to address the varied needs of these students, resulting in learning and development gaps. Moreover, early identification and catering to these needs can take time and effort, affecting students' long-term academic success. There is an urgent need for innovative solutions that can bridge these gaps and improve the educational experiences of students with disabilities. Transforming Special Education Through Artificial Intelligence offers a comprehensive exploration of how Artificial Intelligence (AI) can transform special education by providing personalized and individualized support for students with disabilities. Through case studies and real-life examples, we demonstrate how AI can analyze data to tailor learning experiences, and most importantly, identify learning difficulties early. This crucial aspect of AI can significantly enhance communication among stakeholders and reassure them about the potential of AI in improving educational outcomes for students with disabilities.

AI-Driven Learning and Engagement in Higher Education

Author : Tariq, Muhammad Usman
Publisher : IGI Global
ISBN 13 :
Total Pages : 478 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI-Driven Learning and Engagement in Higher Education by : Tariq, Muhammad Usman

Download or read book AI-Driven Learning and Engagement in Higher Education written by Tariq, Muhammad Usman and published by IGI Global. This book was released on 2024-09-25 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has rapidly emerged as a revolutionary force across various sectors, with a profound influence permeating the domain of higher education. AI in higher education encompasses a wide range of applications designed to enhance teaching methodologies, streamline administrative processes, and personalize learning experiences. The transformative potential of AI lies in its ability to process vast amounts of data, identify patterns, and make intelligent decisions, which can significantly improve educational outcomes. AI-Driven Learning and Engagement in Higher Education provides a comprehensive exploration of these themes and offers insights into the theoretical foundations, practical applications, and ethical implications of AI in education. Each chapter delves into specific aspects of AI integration, from personalized learning and intelligent tutoring systems to administrative automation and ethical considerations. Covering topics such as applied artificial intelligence, online learning, and student success, this book is an excellent resource for educators, administrators, policymakers, researchers, academicians, and more.

Author :
Publisher : IOS Press
ISBN 13 :
Total Pages : 4947 pages
Book Rating : 4./5 ( download)

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Book Synopsis by :

Download or read book written by and published by IOS Press. This book was released on with total page 4947 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial General Intelligence 2008

Author : P. Wang
Publisher : IOS Press
ISBN 13 : 1607503093
Total Pages : 520 pages
Book Rating : 4.6/5 (75 download)

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Book Synopsis Artificial General Intelligence 2008 by : P. Wang

Download or read book Artificial General Intelligence 2008 written by P. Wang and published by IOS Press. This book was released on 2008-02-18 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of Artificial Intelligence (AI) was initially directly aimed at the construction of ‘thinking machines’ – that is, computer systems with human-like general intelligence. But this task proved more difficult than expected. As the years passed, AI researchers gradually shifted focus to producing AI systems that intelligently approached specific tasks in relatively narrow domains. In recent years, however, more and more AI researchers have recognized the necessity – and the feasibility – of returning to the original goal of the field. Increasingly, there is a call to focus less on highly specialized ‘narrow AI’ problem solving systems, and more on confronting the difficult issues involved in creating ‘human-level intelligence’, and ultimately general intelligence that goes beyond the human level in various ways. Artificial General Intelligence (AGI), as this renewed focus has come to be called, attempts to study and reproduce intelligence as a whole in a domain independent way. Encouraged by the recent success of several smaller-scale AGI-related meetings and special tracks at conferences, the initiative to organize the very first international conference on AGI was taken, with the goal to give researchers in the field an opportunity to present relevant research results and to exchange ideas on topics of common interest. In this collection you will find the conference papers: full-length papers, short position statements and also the papers presented in the post conference workshop on the sociocultural, ethical and futurological implications of AGI.