Artificial Intelligence For Science A Deep Learning Revolution
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Artificial Intelligence For Science
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Author : Alok Nidhi Choudhary
language : en
Publisher: World Scientific Publishing Company
Release Date : 2022-12
Artificial Intelligence For Science written by Alok Nidhi Choudhary and has been published by World Scientific Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12 with Computers categories.
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources -- telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.
Artificial Intelligence For Science A Deep Learning Revolution
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Author : Alok Choudhary
language : en
Publisher: World Scientific
Release Date : 2023-03-21
Artificial Intelligence For Science A Deep Learning Revolution written by Alok Choudhary and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France. These sources generate many petabytes moving to exabytes of data per year. Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks. Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.
Automated Machine Learning
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Author : Frank Hutter
language : en
Publisher: Springer
Release Date : 2019-05-17
Automated Machine Learning written by Frank Hutter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-17 with Computers categories.
This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
Artificial Intuition
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Author : Carlos Perez
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-01-15
Artificial Intuition written by Carlos Perez 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 2018-01-15 with categories.
I challenge you to find a field as interesting and exciting as Deep Learning. This book is a spin-off from my previous book "The Deep Learning AI Playbook." The Playbook was meant for a professional audience. This is targeted to a much wider audience. There are two kinds of audiences, those looking to explore and those looking to optimize. There are two ways to learn, learning by exploration and learning by exploitation. This book is about exploration into the emerging field of Deep Learning. It's more like a popular science book and less of a business book. It's not going to provide any practical advice of how to use or deploy Deep Learning. However, it's a book that will explore this new field in many more perspectives. So at the very least, you'll walk away with the ability to hold a very informative and impressive conversation about this unique subject. It's my hope that having less constraints on what I can express can lead to a more insightful and novel book. There are plenty of ideas that are either too general or too speculative to fit within a business oriented book. With a business book, you always want to manage expectations. Artificial Intelligence is one of those topics that you want to keep speaking in a conservative manner. That's one reason I felt the need for this book. Perhaps the freedom to be more liberal can give readers more ideas as where this field is heading. Also, it's not just business that needs to understand Deep Learning. We are all going to be profoundly impacted by this new kind of Artificial Intelligence and it is critical we all develop at least a good intuition of how it will change the world.The images in the front cover are all generated using Deep Learning technology.
Artificial Intelligence And The Fourth Industrial Revolution
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Author : Utpal Chakraborty
language : en
Publisher: CRC Press
Release Date : 2022-05-25
Artificial Intelligence And The Fourth Industrial Revolution written by Utpal Chakraborty and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-25 with Computers categories.
This book presents the overall technology spectrum in artificial intelligence (AI) and the Fourth Industrial Revolution, which is set to revolutionize the world. It discusses their various aspects and related case studies from industry, academics, administration, law, finance, and accounting as well as educational technology. The contributors, who are experts in their respective fields and from industry and academia, focus on a gesture-recognition prototype for specially abled people; jurisprudential approach to AI and legal reasoning; automated chatbot for autism spectrum disorder using AI assistance; Big Data analytics and Internet of Things (IoT); role of AI in advancement of drug discovery; development, opportunities, and challenges of the Fourth Industrial Revolution; legal, ethical, and policy implications of AI; Internet of Health Things for smart healthcare and digital wellbeing; machine learning and computer vision; computer vision-based system for automation and industrial applications; AI-IoT in home-based healthcare; and AI in super-precision human brain and spine surgery. Buttressed with comprehensive theoretical, methodological, well-established, and validated empirical examples, the book covers the interests of a broad audience from basic science to engineering and technology experts and learners. It will be greatly helpful for CEOs, entrepreneurs, academic leaders, researchers, and students of engineering, biomedicine, and master’s programs in science as well as the vast workforce and students with technical or non-technical backgrounds. It also serves common public interest by presenting new methods to improve the quality of life in general, with a better integration into society.
On The Path To Ai
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Author : Thomas D. Grant
language : en
Publisher: Springer Nature
Release Date : 2020-06-02
On The Path To Ai written by Thomas D. Grant and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-02 with Social Science categories.
This open access book explores machine learning and its impact on how we make sense of the world. It does so by bringing together two ‘revolutions’ in a surprising analogy: the revolution of machine learning, which has placed computing on the path to artificial intelligence, and the revolution in thinking about the law that was spurred by Oliver Wendell Holmes Jr in the last two decades of the 19th century. Holmes reconceived law as prophecy based on experience, prefiguring the buzzwords of the machine learning age—prediction based on datasets. On the path to AI introduces readers to the key concepts of machine learning, discusses the potential applications and limitations of predictions generated by machines using data, and informs current debates amongst scholars, lawyers and policy makers on how it should be used and regulated wisely. Technologists will also find useful lessons learned from the last 120 years of legal grappling with accountability, explainability, and biased data.
Artificial Intelligence And Industry 5 0
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Author :
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2025-03-01
Artificial Intelligence And Industry 5 0 written by and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.
Artificial Intelligence and Industry 5.0 is a textbook that bridges theoretical foundations of AI with its applications in the emerging areas of Industry 5.0. The book is written to provide a foundation for machine learning and deep learning with their applications in natural sciences by providing worked-out examples and exercises. The book takes a balanced approach between the theoretical basis for machine learning and its applications. It covers topics including artificial neural networks, machine learning, supervised and unsupervised learning, deep learning, convolution neural networks, and recurrent neural networks. Besides, the book also includes topics such as pattern recognition, natural language processing and metaheuristic algorithms which will give readers to understand some of the vital areas where AI plays a significant role. The well-explained algorithms and pseudocodes for each topic help students to apply them in their relevant field. The book, besides discussing the topics prescribed in the syllabus, is enriched with the research experience of the authors from different fields, including Theoretical or Computational Chemistry, Bioinformatics, and Computer Sciences, and various training programs conducted for the students/research community. This book is a result of 6 years of group discussions that took place with the groups of eminent professors and researchers in the field. For brief lectures/PPTs, the readers can visit PHI Learning Centre or https://github.com/gnsastry/ACDS-Lectures . KEY FEATURES • Includes topics prescribed in the syllabus as well as the latest research in the field. • The book provides a mathematical foundation and learning techniques in Artificial Intelligence, Machine Learning and Deep Learning. • Each chapter comprises a set of worked-out examples and exercises which are focused on the key concepts. • The book is organized with fundamental concepts and applications in natural sciences, healthcare, drug discovery, environmental sustainability, and more. TARGET AUDIENCE • B.Tech Computer Science and Engineering • B.Tech AI and ML • B.Tech all branches for elective course
Artificial Intelligence In Science Challenges Opportunities And The Future Of Research
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2023-06-26
Artificial Intelligence In Science Challenges Opportunities And The Future Of Research written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-26 with 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.
Deep Learning
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Author : John D. Kelleher
language : en
Publisher: MIT Press
Release Date : 2019-09-10
Deep Learning written by John D. Kelleher and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-10 with Computers categories.
An accessible introduction to the artificial intelligence technology that enables computer vision, speech recognition, machine translation, and driverless cars. Deep learning is an artificial intelligence technology that enables computer vision, speech recognition in mobile phones, machine translation, AI games, driverless cars, and other applications. When we use consumer products from Google, Microsoft, Facebook, Apple, or Baidu, we are often interacting with a deep learning system. In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains that deep learning enables data-driven decisions by identifying and extracting patterns from large datasets; its ability to learn from complex data makes deep learning ideally suited to take advantage of the rapid growth in big data and computational power. Kelleher also explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art. He describes the most important deep learning architectures, including autoencoders, recurrent neural networks, and long short-term networks, as well as such recent developments as Generative Adversarial Networks and capsule networks. He also provides a comprehensive (and comprehensible) introduction to the two fundamental algorithms in deep learning: gradient descent and backpropagation. Finally, Kelleher considers the future of deep learning—major trends, possible developments, and significant challenges.
Ai Personalized Medicine Therapy
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Author : Joohee Pradhan
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-02-05
Ai Personalized Medicine Therapy written by Joohee Pradhan and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-05 with Computers categories.
Discover how artificial intelligence is revolutionizing healthcare with this book, edited by Dr Joohee Pradhan and Dr Ajay Kumar Shukla. This insightful book highlights the groundbreaking applications of AI in medical treatment, from precision diagnostics and drug discovery to robotic surgeries and telemedicine. It explores the transformative potential of technologies like machine learning and natural language processing to deliver personalized, efficient, and cost-effective care. Addressing both the promise and the challenges, the book examines critical topics such as AI-driven decision support, remote patient monitoring, and the ethical considerations of data privacy and algorithmic bias. Bridging the gap between innovation and real-world applications, this book is an essential resource for healthcare professionals, researchers, and technology enthusiasts looking to understand and harness AI’s potential in medicine. Transform the way you think about healthcare with this comprehensive and forward-looking exploration of AI’s role in shaping the future.