[PDF] Machine Learning And Artificial Intelligence Download

Machine Learning and Artificial Intelligence PDF
Author: A.J. Tallón-Ballesteros
Publisher: IOS Press
Release Date: 2020-12-15
Size: 69.28 MB
Format: PDF
Category : Computers
Languages : en
Pages : 480
View: 2592

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Machine Learning And Artificial Intelligence

Book by A.J. Tallón-Ballesteros, Machine Learning And Artificial Intelligence Books available in PDF, EPUB, Mobi Format. Download Machine Learning And Artificial Intelligence books, Machine learning and artificial intelligence are already widely applied to facilitate our daily lives, as well as scientific research, but with the world currently facing a global COVID-19 pandemic, their capacity to provide an important tool to support those searching for a way to combat the novel corona virus has never been more important. This book presents the proceedings of the International Conference on Machine Learning and Intelligent Systems (MLIS 2020), which was due to be held in Seoul, Korea, from 25-28 October 2020, but which was delivered as an online conference on the same dates due to COVID-19 restrictions. MLIS 2020 was the latest in a series of annual conferences that aim to provide a platform for exchanging knowledge about the most recent scientific and technological advances in the field of machine learning and intelligent systems. The annual conference also strengthens links within the scientific community in related research areas. The book contains 53 papers, selected from more than 160 submissions and presented at MLIS 2020. Selection was based on the results of review and scored on: originality, scientific/practical significance, compelling logical reasoning and language. Topics covered include: data mining, image processing, neural networks, human health, natural language processing, video processing, computational intelligence, expert systems, human-computer interaction, deep learning, and robotics. Offering a current overview of research and developments in machine learning and artificial intelligence, the book will be of interest to all those working in the field.




[PDF] The Economics Of Artificial Intelligence Download

The Economics of Artificial Intelligence PDF
Author: Ajay Agrawal
Publisher: National Bureau of Economic Re
Release Date: 2019
Size: 75.34 MB
Format: PDF
Category : Business & Economics
Languages : en
Pages : 648
View: 3509

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The Economics Of Artificial Intelligence

Book by Ajay Agrawal, The Economics Of Artificial Intelligence Books available in PDF, EPUB, Mobi Format. Download The Economics Of Artificial Intelligence books, Advances in artificial intelligence (AI) highlight the potential of this technology to affect productivity, growth, inequality, market power, innovation, and employment. This volume seeks to set the agenda for economic research on the impact of AI. It covers four broad themes: AI as a general purpose technology; the relationships between AI, growth, jobs, and inequality; regulatory responses to changes brought on by AI; and the effects of AI on the way economic research is conducted. It explores the economic influence of machine learning, the branch of computational statistics that has driven much of the recent excitement around AI, as well as the economic impact of robotics and automation and the potential economic consequences of a still-hypothetical artificial general intelligence. The volume provides frameworks for understanding the economic impact of AI and identifies a number of open research questions. Contributors: Daron Acemoglu, Massachusetts Institute of Technology Philippe Aghion, Collège de France Ajay Agrawal, University of Toronto Susan Athey, Stanford University James Bessen, Boston University School of Law Erik Brynjolfsson, MIT Sloan School of Management Colin F. Camerer, California Institute of Technology Judith Chevalier, Yale School of Management Iain M. Cockburn, Boston University Tyler Cowen, George Mason University Jason Furman, Harvard Kennedy School Patrick Francois, University of British Columbia Alberto Galasso, University of Toronto Joshua Gans, University of Toronto Avi Goldfarb, University of Toronto Austan Goolsbee, University of Chicago Booth School of Business Rebecca Henderson, Harvard Business School Ginger Zhe Jin, University of Maryland Benjamin F. Jones, Northwestern University Charles I. Jones, Stanford University Daniel Kahneman, Princeton University Anton Korinek, Johns Hopkins University Mara Lederman, University of Toronto Hong Luo, Harvard Business School John McHale, National University of Ireland Paul R. Milgrom, Stanford University Matthew Mitchell, University of Toronto Alexander Oettl, Georgia Institute of Technology Andrea Prat, Columbia Business School Manav Raj, New York University Pascual Restrepo, Boston University Daniel Rock, MIT Sloan School of Management Jeffrey D. Sachs, Columbia University Robert Seamans, New York University Scott Stern, MIT Sloan School of Management Betsey Stevenson, University of Michigan Joseph E. Stiglitz. Columbia University Chad Syverson, University of Chicago Booth School of Business Matt Taddy, University of Chicago Booth School of Business Steven Tadelis, University of California, Berkeley Manuel Trajtenberg, Tel Aviv University Daniel Trefler, University of Toronto Catherine Tucker, MIT Sloan School of Management Hal Varian, University of California, Berkeley




[PDF] Ethics Of Artificial Intelligence Download

Ethics of Artificial Intelligence PDF
Author: S. Matthew Liao
Publisher: Oxford University Press, USA
Release Date: 2020
Size: 75.60 MB
Format: PDF
Category : Business & Economics
Languages : en
Pages : 542
View: 3300

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Ethics Of Artificial Intelligence

Book by S. Matthew Liao, Ethics Of Artificial Intelligence Books available in PDF, EPUB, Mobi Format. Download Ethics Of Artificial Intelligence books, "Featuring seventeen original essays on the ethics of Artificial Intelligence (AI) by some of the most prominent AI scientists and academic philosophers today, this volume represents the state-of-the-art thinking in this fast-growing field and highlights some of the central themes in AI and morality such as how to build ethics into AI, how to address mass unemployment as a result of automation, how to avoiding designing AI systems that perpetuate existing biases, and how to determine whether an AI is conscious. As AI technologies progress, questions about the ethics of AI, in both the near-future and the long-term, become more pressing than ever. Should a self-driving car prioritize the lives of the passengers over the lives of pedestrians? Should we as a society develop autonomous weapon systems that are capable of identifying and attacking a target without human intervention? What happens when AIs become smarter and more capable than us? Could they have greater than human moral status? Can we prevent superintelligent AIs from harming us or causing our extinction? At a critical time in this fast-moving debate, thirty leading academics and researchers at the forefront of AI technology development come together to explore these existential questions, including Aaron James (UC Irvine), Allan Dafoe (Oxford), Andrea Loreggia (Padova), Andrew Critch (UC Berkeley), Azim Shariff (Univ. of British Columbia), Carrick Flynn (Oxford), Cathy O'Neil (O'Neil Risk Consulting & Algorithmic Auditing), Eliezer Yudkowsky (Machine Intelligence Research Institute), Eric Schwitzgebel (UC Riverside), Frances Kamm (Rutgers), Francesca Rossi (IBM), Hanna Gunn (UC Merced), Iyad Rahwan (MIT), Jessica Taylor (Median Group), JF Bonnefon (Centre National de la Recherche Scientifique), K. Brent Venable (Tulane), Kate Devlin (King's College London), Mara Garza (UC Riverside), Nicholas Mattei (Tulane), Nick Bostrom (Oxford), Patrick LaVictoire (Lyft), Peter Asaro (The New School), Peter Railton (Michigan), S. Matthew Liao (NYU), Shannon Vallor (Santa Clara), Stephen Wolfram (Wolfram Research), Steve Petersen (Niagara), Stuart Russell (UC Berkeley), Susan Schneider (Univ. of Connecticut), Wendell Wallach (Yale)"--




[PDF] A Concise Bibliography Of The Literature On Artificial Intelligence Download

A Concise Bibliography of the Literature on Artificial Intelligence PDF
Author: Alice M. Pierce
Publisher:
Release Date: 1959
Size: 50.87 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 18
View: 7162

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A Concise Bibliography Of The Literature On Artificial Intelligence

Book by Alice M. Pierce, A Concise Bibliography Of The Literature On Artificial Intelligence Books available in PDF, EPUB, Mobi Format. Download A Concise Bibliography Of The Literature On Artificial Intelligence books,




[PDF] Managing And Understanding Artificial Intelligence Solutions Download

Managing and Understanding Artificial Intelligence Solutions PDF
Author: Hildesheim Wolfgang
Publisher: Beuth Verlag GmbH
Release Date: 2020-12-01
Size: 48.67 MB
Format: PDF
Category : Technology & Engineering
Languages : en
Pages : 64
View: 7571

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Managing And Understanding Artificial Intelligence Solutions

Book by Hildesheim Wolfgang, Managing And Understanding Artificial Intelligence Solutions Books available in PDF, EPUB, Mobi Format. Download Managing And Understanding Artificial Intelligence Solutions books, KI ist ein weltweiter Megatrend. Bedeutung, Leistung und Komplexität von KI-Lösungen nehmen rasant zu und daher wächst auch der Bedarf, einen Überblick über die relevanten KI-Lösungen zu behalten und die damit verbundenen Prioritäten und Risiken zu managen. Das vorgestellte AI Methods, Capabilities and Criticality Grid (AI-MC2-Grid) stellt eine Methode und ein Werkzeug dar, um diesen Überblick zu gewinnen und die KI-Lösungen zu verwalten. Nutzer des AI-MC2-Grid können Manager, Entwickler und Anwender von KI-Lösungen sein, aber auch Investoren, Politiker und Regelsetzer, die den Markt verstehen und bestimmte KI-Lösungen verwalten wollen.Das AI-MC2-Grid besteht aus drei Dimensionen: KI-Methoden, KI-Fähigkeiten und die Kritikalität einer KI-Lösung. Jede diskutierte KI-Lösung kann in diese drei Dimensionen eingeordnet werden, so dass ähnliche KI-Lösungen verglichen werden können. Alternativ können komplexe KI-Lösungen anhand ihrer Komponenten analysiert werden. KI-Methoden entsprechen dabei typischen KI-Algorithmen, während KI-Fähigkeiten typischen Prozessschritten zum Aufbau intelligenter Workflows beschreiben. Sind die relevanten KI-Methoden und KI-Fähigkeiten einer bestimmten KI-Lösung gefunden, können Leistung, Folgen und mögliche Risiken und Alternativen diskutiert werden. Basierend auf der Klassifizierung stellt das Schadenspotenzial von Künstlicher Intelligenz eine bestimmte Stufe der Kritikalität dar. In diesem Zuge steigen mit zunehmender Kritikalität auch die Anforderungen an Tests, Kalibrierung, Inspektion, Kontrolle und Zertifizierung. Das AI-MC2-Grid eine leistungsfähige Methode und ein Werkzeug, um alle Arten von kommenden Normen und Standards von KI-Lösungen zu definieren und zu verwalten.Aus diesem guten Grund steht das AI-MC2-Grid im Mittelpunkt der Deutschen Normungsroadmap für Künstlichen Intelligenz, die als Werkzeug zur Unterstützung der Entwicklung und des Managements zukünftiger KI-Standards und -Normen




[PDF] Artificial Intelligence Download

Artificial Intelligence PDF
Author: John G. Swanson
Publisher:
Release Date: 1988
Size: 48.61 MB
Format: PDF, ePub, Mobi
Category : Artificial intelligence
Languages : en
Pages : 116
View: 7598

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Artificial Intelligence

Book by John G. Swanson, Artificial Intelligence Books available in PDF, EPUB, Mobi Format. Download Artificial Intelligence books,




[PDF] Artificial Intelligence Projects A Complete Guide 2020 Edition Download

Artificial Intelligence Projects A Complete Guide   2020 Edition PDF
Author: Gerardus Blokdyk
Publisher: 5starcooks
Release Date: 2020-05-15
Size: 77.43 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 310
View: 6343

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Artificial Intelligence Projects A Complete Guide 2020 Edition

Book by Gerardus Blokdyk, Artificial Intelligence Projects A Complete Guide 2020 Edition Books available in PDF, EPUB, Mobi Format. Download Artificial Intelligence Projects A Complete Guide 2020 Edition books, What are the rough order estimates on cost savings/opportunities that Artificial intelligence projects brings? What are your current levels and trends in key Artificial intelligence projects measures or indicators of product and process performance that are important to and directly serve your customers? How is the value delivered by Artificial intelligence projects being measured? To what extent does management recognize Artificial intelligence projects as a tool to increase the results? Who should make the Artificial intelligence projects decisions? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Artificial Intelligence Projects investments work better. This Artificial Intelligence Projects All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Artificial Intelligence Projects Self-Assessment. Featuring 962 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Artificial Intelligence Projects improvements can be made. In using the questions you will be better able to: - diagnose Artificial Intelligence Projects projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Artificial Intelligence Projects and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Artificial Intelligence Projects Scorecard, you will develop a clear picture of which Artificial Intelligence Projects areas need attention. Your purchase includes access details to the Artificial Intelligence Projects self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Artificial Intelligence Projects Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.




[PDF] Artificial Intelligence Download

Artificial Intelligence PDF
Author: Fellow the Stanford Center for Legal Informatics Jerry Kaplan
Publisher: Oxford University Press
Release Date: 2016-01-25
Size: 77.84 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 192
View: 4441

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Artificial Intelligence

Book by Fellow the Stanford Center for Legal Informatics Jerry Kaplan, Artificial Intelligence Books available in PDF, EPUB, Mobi Format. Download Artificial Intelligence books, Over the coming decades, Artificial Intelligence will profoundly impact the way we live, work, wage war, play, seek a mate, educate our young, and care for our elderly. It is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans. Whether we regard them as conscious or unwitting, revere them as a new form of life or dismiss them as mere clever appliances, is beside the point. They are likely to play an increasingly critical and intimate role in many aspects of our lives. The emergence of systems capable of independent reasoning and action raises serious questions about just whose interests they are permitted to serve, and what limits our society should place on their creation and use. Deep ethical questions that have bedeviled philosophers for ages will suddenly arrive on the steps of our courthouses. Can a machine be held accountable for its actions? Should intelligent systems enjoy independent rights and responsibilities, or are they simple property? Who should be held responsible when a self-driving car kills a pedestrian? Can your personal robot hold your place in line, or be compelled to testify against you? If it turns out to be possible to upload your mind into a machine, is that still you? The answers may surprise you.




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