Learning Energy Promises Hope And Hype In The Context Of Machine Learning

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Learning Energy. Promises, Hope and Hype in the Context of Machine Learning

Author : Stefan Raß
Publisher : GRIN Verlag
ISBN 13 : 3346377547
Total Pages : 11 pages
Book Rating : 4.3/5 (463 download)

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Book Synopsis Learning Energy. Promises, Hope and Hype in the Context of Machine Learning by : Stefan Raß

Download or read book Learning Energy. Promises, Hope and Hype in the Context of Machine Learning written by Stefan Raß and published by GRIN Verlag. This book was released on 2021-03-30 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic Paper from the year 2020 in the subject Sociology - Miscellaneous, grade: 1,3, University of Vienna, language: English, abstract: The concept of ‘hype’ is widely used in the business and public sphere and serves as a way to characterize increasing expectations of developments in technological fields. This paper seeks to analyze a ‘hype in the making’ by closing in on a case at the intersection of data science and energy. Following the previous body of literature qualitative as well as quantitative indicators are taken into account in order to assess the promises, hope and hype of the optimization of datacenters through machine learning. The analysis concludes that this techonogy is nearing its peak of expectation but shows favorable signs for activities after disappointment.

The Frontiers of Machine Learning

Author : The Royal Society
Publisher : National Academies Press
ISBN 13 : 0309471974
Total Pages : 33 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis The Frontiers of Machine Learning by : The Royal Society

Download or read book The Frontiers of Machine Learning written by The Royal Society and published by National Academies Press. This book was released on 2018-02-09 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of machine learning continues to advance at a rapid pace owing to increased computing power, better algorithms and tools, and greater availability of data. Machine learning is now being used in a range of applications, including transportation and developing automated vehicles, healthcare and understanding the genetic basis of disease, and criminal justice and predicting recidivism. As the technology advances, it promises additional applications that can contribute to individual and societal well-being. The Raymond and Beverly Sackler U.S.-U.K. Scientific Forum "The Frontiersâ€¨ of Machine Learning" took place on January 31 and February 1, 2017, at the Washington, D.C., headquarters of the National Academies of Sciences, Engineering, and Medicine. Participants included industry leaders, machine learning researchers, and experts in privacy and the law, and this report summarizes their high-level interdisciplinary discussions.

Machine Learning

Author :
Publisher :
ISBN 13 : 9781782522591
Total Pages : 125 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Machine Learning by :

Download or read book Machine Learning written by and published by . This book was released on 2017 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine

Author : Tao Zeng
Publisher : Frontiers Media SA
ISBN 13 : 2889635546
Total Pages : 393 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine by : Tao Zeng

Download or read book Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine written by Tao Zeng and published by Frontiers Media SA. This book was released on 2020-03-30 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Healthcare

Author : Chinmay Chakraborty
Publisher : Springer Nature
ISBN 13 : 9811681503
Total Pages : 493 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Intelligent Healthcare by : Chinmay Chakraborty

Download or read book Intelligent Healthcare written by Chinmay Chakraborty and published by Springer Nature. This book was released on 2022-06-02 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning. This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: Ø Immersive technologies in healthcare Ø Internet of medical things Ø Federated learning algorithms Ø Explainable AI in Pervasive Healthcare Ø New management principles using biomedical data Ø Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Elements of Causal Inference

Author : Jonas Peters
Publisher : MIT Press
ISBN 13 : 0262037319
Total Pages : 289 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Elements of Causal Inference by : Jonas Peters

Download or read book Elements of Causal Inference written by Jonas Peters and published by MIT Press. This book was released on 2017-11-29 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.

Deep Learning

Author : Li Deng
Publisher :
ISBN 13 : 9781601988140
Total Pages : 212 pages
Book Rating : 4.9/5 (881 download)

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Book Synopsis Deep Learning by : Li Deng

Download or read book Deep Learning written by Li Deng and published by . This book was released on 2014 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks

Understanding Medical Education

Author : Tim Swanwick
Publisher : John Wiley & Sons
ISBN 13 : 1119373859
Total Pages : 600 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Understanding Medical Education by : Tim Swanwick

Download or read book Understanding Medical Education written by Tim Swanwick and published by John Wiley & Sons. This book was released on 2018-10-02 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Created in partnership with the Association for the Study of Medical Education (ASME), this completely revised and updated new edition of Understanding Medical Education synthesizes the latest knowledge, evidence and best practice across the continuum of medical education. Written and edited by an international team, this latest edition continues to cover a wide range of subject matter within five broad areas – Foundations, Teaching and Learning, Assessment and Selection, Research and Evaluation, and Faculty and Learners – as well as featuring a wealth of new material, including new chapters on the science of learning, knowledge synthesis, and learner support and well-being. The third edition of Understanding Medical Education: Provides a comprehensive and authoritative resource summarizing the theoretical and academic bases to modern medical education practice Meets the needs of all newcomers to medical education whether undergraduate or postgraduate, including those studying at certificate, diploma or masters level Offers a global perspective on medical education from leading experts from across the world Providing practical guidance and exploring medical education in all its diversity, Understanding Medical Education continues to be an essential resource for both established educators and all those new to the field.

Precision Medicine and Artificial Intelligence

Author : Michael Mahler
Publisher : Academic Press
ISBN 13 : 032385432X
Total Pages : 300 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Precision Medicine and Artificial Intelligence by : Michael Mahler

Download or read book Precision Medicine and Artificial Intelligence written by Michael Mahler and published by Academic Press. This book was released on 2021-03-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large datasets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine

Interpretable Machine Learning

Author : Christoph Molnar
Publisher : Lulu.com
ISBN 13 : 0244768528
Total Pages : 320 pages
Book Rating : 4.2/5 (447 download)

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Book Synopsis Interpretable Machine Learning by : Christoph Molnar

Download or read book Interpretable Machine Learning written by Christoph Molnar and published by Lulu.com. This book was released on 2020 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.

The Hype Machine

Author : Sinan Aral
Publisher : Currency
ISBN 13 : 0525574522
Total Pages : 417 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis The Hype Machine by : Sinan Aral

Download or read book The Hype Machine written by Sinan Aral and published by Currency. This book was released on 2020-09-15 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: A landmark insider’s tour of how social media affects our decision-making and shapes our world in ways both useful and dangerous, with critical insights into the social media trends of the 2020 election and beyond “The book might be described as prophetic. . . . At least two of Aral’s three predictions have come to fruition.”—New York NAMED ONE OF THE BEST BOOKS OF THE YEAR BY WIRED • LONGLISTED FOR THE PORCHLIGHT BUSINESS BOOK AWARD Social media connected the world—and gave rise to fake news and increasing polarization. It is paramount, MIT professor Sinan Aral says, that we recognize the outsize effect social media has on us—on our politics, our economy, and even our personal health—in order to steer today’s social technology toward its great promise while avoiding the ways it can pull us apart. Drawing on decades of his own research and business experience, Aral goes under the hood of the most powerful social networks to tackle the critical question of just how much social media actually shapes our choices, for better or worse. He shows how the tech behind social media offers the same set of behavior influencing levers to everyone who hopes to change the way we think and act—from Russian hackers to brand marketers—which is why its consequences affect everything from elections to business, dating to health. Along the way, he covers a wide array of topics, including how network effects fuel Twitter’s and Facebook’s massive growth, the neuroscience of how social media affects our brains, the real consequences of fake news, the power of social ratings, and the impact of social media on our kids. In mapping out strategies for being more thoughtful consumers of social media, The Hype Machine offers the definitive guide to understanding and harnessing for good the technology that has redefined our world overnight.

Technology and the Intelligence Community

Author : Margaret E. Kosal
Publisher : Springer
ISBN 13 : 3319752324
Total Pages : 287 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Technology and the Intelligence Community by : Margaret E. Kosal

Download or read book Technology and the Intelligence Community written by Margaret E. Kosal and published by Springer. This book was released on 2018-03-19 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume examines the role of technology in gathering, assimilating and utilizing intelligence information through the ages. Pushing the boundaries of existing works, the articles contained here take a broad view of the use and implementation of technology and intelligence procedures during the cold war era and the space race, the September 2011 attacks, and more recent cyber operations. It looks at the development of different technologies, procedural implications thereof, and the underlying legal and ethical implications. The findings are then used to explore the future trends in technology including cyber operations, big data, open source intelligence, smart cities, and augmented reality. Starting from the core aspects of technical capabilities the articles dig deeper, exploring the hard and soft infrastructure of intelligence gathering procedures and focusing on the human and bureaucratic procedures involved therein. Technology and innovation have played an important role in determining the course of development of the intelligence community. Intelligence gathering for national security, however, is not limited only to the thread of technical capabilities but is a complex fabric of organizational structures, systemic undercurrents, and the role of personnel in key positions of decision making. The book’s findings and conclusions encompass not just temporal variation but also cut across a diverse set of issue areas. This compilation is uniquely placed in the interdisciplinary space combining the lessons from key cases in the past to current developments and implementation of technology options.

Edge Intelligence in the Making

Author : Sen Lin
Publisher : Springer Nature
ISBN 13 : 3031023803
Total Pages : 17 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Edge Intelligence in the Making by : Sen Lin

Download or read book Edge Intelligence in the Making written by Sen Lin and published by Springer Nature. This book was released on 2022-06-01 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the explosive growth of mobile computing and Internet of Things (IoT) applications, as exemplified by AR/VR, smart city, and video/audio surveillance, billions of mobile and IoT devices are being connected to the Internet, generating zillions of bytes of data at the network edge. Driven by this trend, there is an urgent need to push the frontiers of artificial intelligence (AI) to the network edge to fully unleash the potential of IoT big data. Indeed, the marriage of edge computing and AI has resulted in innovative solutions, namely edge intelligence or edge AI. Nevertheless, research and practice on this emerging inter-disciplinary field is still in its infancy stage. To facilitate the dissemination of the recent advances in edge intelligence in both academia and industry, this book conducts a comprehensive and detailed survey of the recent research efforts and also showcases the authors' own research progress on edge intelligence. Specifically, the book first reviews the background and present motivation for AI running at the network edge. Next, it provides an overview of the overarching architectures, frameworks, and emerging key technologies for deep learning models toward training/inference at the network edge. To illustrate the research problems for edge intelligence, the book also showcases four of the authors' own research projects on edge intelligence, ranging from rigorous theoretical analysis to studies based on realistic implementation. Finally, it discusses the applications, marketplace, and future research opportunities of edge intelligence. This emerging interdisciplinary field offers many open problems and yet also tremendous opportunities, and this book only touches the tip of iceberg. Hopefully, this book will elicit escalating attention, stimulate fruitful discussions, and open new directions on edge intelligence.

Bulletin of the Atomic Scientists

Author :
Publisher :
ISBN 13 :
Total Pages : 56 pages
Book Rating : 4./5 ( download)

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Book Synopsis Bulletin of the Atomic Scientists by :

Download or read book Bulletin of the Atomic Scientists written by and published by . This book was released on 1993-06 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Popular Mechanics

Author :
Publisher :
ISBN 13 :
Total Pages : 140 pages
Book Rating : 4./5 ( download)

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Book Synopsis Popular Mechanics by :

Download or read book Popular Mechanics written by and published by . This book was released on 2000-01 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.

Machine Learning in Industry

Author : Shubhabrata Datta
Publisher : Springer Nature
ISBN 13 : 3030758478
Total Pages : 202 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Machine Learning in Industry by : Shubhabrata Datta

Download or read book Machine Learning in Industry written by Shubhabrata Datta and published by Springer Nature. This book was released on 2021-07-24 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers different machine learning techniques such as artificial neural network, support vector machine, rough set theory and deep learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different applications of machine learning techniques for industrial problems. The book includes several case studies, helping researchers in academia and industries aspiring to use machine learning for solving practical industrial problems.