Artificial Intelligence

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Melanie Mitchell
Genre : Computers

Summary : “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.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Nils J. Nilsson
Genre : Computers

Summary : This new book, by one of the most respected researchers in Artificial Intelligence, features a radical new 'evolutionary' organization that begins with low level intelligent behavior and develops complex intelligence as the book progresses.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Philip L. Frana
Genre :

Summary :

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Shahab D. Mohaghegh
Genre : Computers

Summary : Artificial Intelligence (AI) is defined as the simulation of human intelligence through the mimicking of the human brain for analysis, modeling, and decision‐making. Science and engineering problem solving requires modeling of physical phenomena, and humans approach the solution of scientific and engineering problems differently from other problems. Artificial Intelligence for Science and Engineering Applications addresses the unique differences in how AI should be developed and used in science and engineering. Through the inclusion of definitions and detailed examples, this book describes the actual and realistic requirements as well as what characteristics must be avoided for correct and successful science and engineering applications of AI. This book: Offers a brief history of AI and covers science and engineering applications Explores the modeling of physical phenomena using AI Discusses explainable AI (XAI) applications Covers the ethics of AI in science and engineering Features real‐world case studies Offering a probing view into the unique nature of scientific and engineering exploration, this book will be of interest to generalists and experts looking to expand their understanding of how AI can better tackle and advance technology and developments in scientific and engineering disciplines.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Enamul Haque
Genre : Computers

Summary : The era of artificial intelligence has arrived. You, who only felt far from artificial intelligence, and the growing dream trees, are now inseparable from artificial intelligence. What does AI have to do with me? Isn't it a distant future that has nothing to do with me, not a scientist, a technician, or a computer programmer? Well, Artificial intelligence is not a story of someone who has nothing to do with it, but the fact is, it is now everyone's story. AI is already deeply infiltrating everyone's life. The question is no longer whether we use technology or not; it's about working together in a better way. Surrounding technologies like Siri, Alexa, or Cortana are seamlessly integrated into our interactions. We walk into the room, turn on the lights, play songs, change the room temperature, keep track of shopping lists, book a ride at the airport, or remind ourselves to take the proper medication on time. It is now necessary to look at artificial intelligence from a broader and larger perspective. You should not just hang on to complex deep learning algorithms and think only through science and technology but through the eyes of emotions and humanities. These days, elementary school students learn English and coding at school. Tomorrow's elementary school students will learn AI. Of course, not everyone needs to be an AI expert. But if you don't understand AI, you will be left out of the trend of changing times. AI comes before English and coding. This is because artificial intelligence is the language and tool of the future. This book opens your door to the most critical understanding needed of AI and other relevant disruptive technologies. Artificial intelligence will significantly change societal structures and the operations of companies. The next generation of employees needs to be trained as a workforce before entering the job market, and the existing workforce is regularly recharged and skilled. There is plenty on this for reskilling too. This is the most definitive compendium of AI, The Internet of Things, Machine Learning, Deep Learning, Data Science, Big Data, Cloud Computing, Neural networks, Robotics, the future of work and the future of intelligent industries.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Francesco Corea
Genre : Technology & Engineering

Summary : This book deals with artificial intelligence (AI) and its several applications. It is not an organic text that should be read from the first page onwards, but rather a collection of articles that can be read at will (or at need). The idea of this work is indeed to provide some food for thoughts on how AI is impacting few verticals (insurance and financial services), affecting horizontal and technical applications (speech recognition and blockchain), and changing organizational structures (introducing new figures or dealing with ethical issues). The structure of the chapter is very similar, so I hope the reader won’t find difficulties in establishing comparisons or understanding the differences between specific problems AI is being used for. The first chapter of the book is indeed showing the potential and the achievements of new AI techniques in the speech recognition domain, touching upon the topics of bots and conversational interfaces. The second and thirds chapter tackle instead verticals that are historically data-intensive but not data-driven, i.e., the financial sector and the insurance one. The following part of the book is the more technical one (and probably the most innovative), because looks at AI and its intersection with another exponential technology, namely the blockchain. Finally, the last chapters are instead more operative, because they concern new figures to be hired regardless of the organization or the sector, and ethical and moral issues related to the creation and implementation of new type of algorithms.

Please Disable Adblock to Show Download Link
DOWNLOAD
Author : Sikandar Ali
Genre : Medical

Summary : With the latest advancements in Artificial intelligence (AI), it has reshaped the way how industry sectors perform their business operations. The health care industry has been no exception and has shown monumental advancements in the areas of diagnosis including, cancer diagnosis, triage of crucial findings, identification of acute abnormalities, support for radiologists in prioritising cases involving life-threatening conditions, diagnosis of cardiac arrhythmias, prediction of stroke outcomes, and management of chronic diseases. The sector has benefitted from innovative telehealth serves and robust record management, which helps in maintain volumes of data centrally that is readily available. This Research Topic aims to provide a platform for researchers to disseminate cutting-edge research that investigates and explores the potential of artificial intelligence technologies in healthcare sector with a focus on computer vision, deep learning, machine learning, medical imaging, sensor data, and clinical data analysis. The research topic will enable researchers to collaborate globally and investigate the challenges of employing artificial intelligence, while considering privacy and security, and ethical implications in the healthcare sector. This collection aims to demonstrate how AI can significantly improve patient outcomes, therapy personalization, and diagnostic accuracy by engaging recent developments in deep learning, machine learning, medical imaging, and sensor data analysis. Moreover, it caters for novelty in healthcare focusing on AI applications and approaches. Furthermore, novel theoretical contributions based on fundamental, general topics related to medical imaging, healthcare, medical diagnosis are encouraged for submission. This Research Topic encourages submissions that address a wide range of themes, within the scope of AI in healthcare sector, including (but not limited to): • AI algorithms for medical imaging • AI based medical diagnostics systems • Machine learning and deep learning for medical imaging • Wearable health applications • Computational pathology • Whole slide image analysis using AI • Applications of sensor data analysis using AI in patient monitoring • Advances in computer vision for medical applications