Artificial Intelligence in Society Artificial Intelligenceartificial in Society
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Innovation in Ecosystem Business Models: an Application to Maas and Autonomous Vehicles in Urban Mobility System
Innovation in ecosystem business models : An application to MaaS and Autonomous vehicles in urban mobility system Rodrigo Gandia To cite this version: Rodrigo Gandia. Innovation in ecosystem business models : An application to MaaS and Autonomous vehicles in urban mobility system. Economics and Finance. Université Paris-Saclay; University of Lavras, UFLA (Brésil), 2020. English. NNT : 2020UPASC018. tel-02895349 HAL Id: tel-02895349 https://tel.archives-ouvertes.fr/tel-02895349 Submitted on 9 Jul 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Innovation in Ecosystem Business Models: An Application to MaaS and Autonomous Vehicles in Urban Mobility System Thèse de doctorat de l'université Paris-Saclay École doctorale n° 573 Interfaces : approches interdisciplinaires, fon- dements, applications et innovation (Interfaces) Spécialité de doctorat : Ingénierie des systèmes complexes Unité de recherche : Université Paris-Saclay, CentraleSupélec, Laboratoire Genie Industriel, 91190, Gif-sur-Yvette, France. Référent : CentraleSupélec Thèse présentée et -
At Least in Biophysical Novelties Amihud Gilead
The Twilight of Determinism: At Least in Biophysical Novelties Amihud Gilead Department of Philosophy, Eshkol Tower, University of Haifa, Haifa 3498838 Email: [email protected] Abstract. In the 1990s, Richard Lewontin referred to what appeared to be the twilight of determinism in biology. He pointed out that DNA determines only a little part of life phenomena, which are very complex. In fact, organisms determine the environment and vice versa in a nonlinear way. Very recently, biophysicists, Shimon Marom and Erez Braun, have demonstrated that controlled biophysical systems have shown a relative autonomy and flexibility in response which could not be predicted. Within the boundaries of some restraints, most of them genetic, this freedom from determinism is well maintained. Marom and Braun have challenged not only biophysical determinism but also reverse-engineering, naive reductionism, mechanism, and systems biology. Metaphysically possibly, anything actual is contingent.1 Of course, such a possibility is entirely excluded in Spinoza’s philosophy as well as in many philosophical views at present. Kant believed that anything phenomenal, namely, anything that is experimental or empirical, is inescapably subject to space, time, and categories (such as causality) which entail the undeniable validity of determinism. Both Kant and Laplace assumed that modern science, such as Newton’s physics, must rely upon such a deterministic view. According to Kant, free will is possible not in the phenomenal world, the empirical world in which we 1 This is an assumption of a full-blown metaphysics—panenmentalism—whose author is Amihud Gilead. See Gilead 1999, 2003, 2009 and 2011, including literary, psychological, and natural applications and examples —especially in chemistry —in Gilead 2009, 2010, 2013, 2014a–c, and 2015a–d. -
Sheila Simmenes.Pdf (1.637Mb)
Distant Music An autoethnographic study of global songwriting in the digital age. SHEILA SIMMENES SUPERVISOR Michael Rauhut University of Agder, 2020 Faculty of Fine Arts Department of Popular music 2 Abstract This thesis aims to explore the path to music creation and shed a light on how we may maneuver songwriting and music production in the digital age. As a songwriter in 2020, my work varies from being in the same physical room using digital communication with collaborators from different cultures and sometimes even without ever meeting face to face with the person I'm making music with. In this thesis I explore some of the opportunities and challenges of this process and shine a light on tendencies and trends in the field. As an autoethnographic research project, this thesis offers an insight into the songwriting process and continuous development of techniques by myself as a songwriter in the digital age, working both commercially and artistically with international partners across the world. The thesis will aim to supplement knowledge on current working methods in songwriting and will hopefully shine a light on how one may improve as a songwriter and topliner in the international market. We will explore the tools and possibilities available to us, while also reflecting upon what challenges and complications one may encounter as a songwriter in the digital age. 3 4 Acknowledgements I wish to express my gratitude to my supervisor Michael Rauhut for his insight, expertise and continued support during this work; associate professor Per Elias Drabløs for his kind advice and feedback; and to my artistic supervisor Bjørn Ole Rasch for his enthusiasm and knowledge in the field of world music and international collaborations. -
Vision-Based Positioning for Internet-Of-Vehicles Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Chu-Song Chen, Ming-Hsuan Yang, and Yi-Ping Hung
http://ieeexplore.ieee.org/Xplore Vision-Based Positioning for Internet-of-Vehicles Kuan-Wen Chen, Chun-Hsin Wang, Xiao Wei, Qiao Liang, Chu-Song Chen, Ming-Hsuan Yang, and Yi-Ping Hung Abstract—This paper presents an algorithm for ego-positioning Structure by using a low-cost monocular camera for systems based on from moon the Internet-of-Vehicles (IoV). To reduce the computational and For local model memory requirements, as well as the communication load, we construc,on tackle the model compression task as a weighted k-cover problem for better preserving the critical structures. For real-world vision-based positioning applications, we consider the issue of large scene changes and introduce a model update algorithm to For image collec,on address this problem. A large positioning dataset containing data collected for more than a month, 106 sessions, and 14,275 images is constructed. Extensive experimental results show that sub- meter accuracy can be achieved by the proposed ego-positioning algorithm, which outperforms existing vision-based approaches. (a) Index Terms—Ego-positioning, model compression, model up- date, long-term positioning dataset. Download local 3D Upload newly scene model acquired images for model update I. INTRODUCTION NTELLIGENT transportation systems have been exten- I sively studied in the last decade to provide innovative and proactive services for traffic management and driving safety issues. Recent advances in driving assistance systems mostly For image matching provide stand-alone solutions to these issues by using sensors and posi1oning limited to the line of sight. However, many vehicle accidents occur because of other vehicles or objects obstructing the (b) view of the driver. -
Artificial Intelligence in Health Care: the Hope, the Hype, the Promise, the Peril
Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril Michael Matheny, Sonoo Thadaney Israni, Mahnoor Ahmed, and Danielle Whicher, Editors WASHINGTON, DC NAM.EDU PREPUBLICATION COPY - Uncorrected Proofs NATIONAL ACADEMY OF MEDICINE • 500 Fifth Street, NW • WASHINGTON, DC 20001 NOTICE: This publication has undergone peer review according to procedures established by the National Academy of Medicine (NAM). Publication by the NAM worthy of public attention, but does not constitute endorsement of conclusions and recommendationssignifies that it is the by productthe NAM. of The a carefully views presented considered in processthis publication and is a contributionare those of individual contributors and do not represent formal consensus positions of the authors’ organizations; the NAM; or the National Academies of Sciences, Engineering, and Medicine. Library of Congress Cataloging-in-Publication Data to Come Copyright 2019 by the National Academy of Sciences. All rights reserved. Printed in the United States of America. Suggested citation: Matheny, M., S. Thadaney Israni, M. Ahmed, and D. Whicher, Editors. 2019. Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril. NAM Special Publication. Washington, DC: National Academy of Medicine. PREPUBLICATION COPY - Uncorrected Proofs “Knowing is not enough; we must apply. Willing is not enough; we must do.” --GOETHE PREPUBLICATION COPY - Uncorrected Proofs ABOUT THE NATIONAL ACADEMY OF MEDICINE The National Academy of Medicine is one of three Academies constituting the Nation- al Academies of Sciences, Engineering, and Medicine (the National Academies). The Na- tional Academies provide independent, objective analysis and advice to the nation and conduct other activities to solve complex problems and inform public policy decisions. -
Optimized Route Network Graph As Map Reference for Autonomous Cars Operating on German Autobahn
Optimized Route Network Graph as Map Reference for Autonomous Cars Operating on German Autobahn Paul Czerwionka, Miao Wang Artificial Intelligence Group Institute of Computer Science Freie Universitat¨ Berlin, Germany Abstract— This paper describes several optimization tech- mapping errors are more crucial when driving at high speeds, niques used to create an adequate route network graph for performing lane changes or overtaking maneuvers. autonomous cars as a map reference for driving on German An universal format to define such digital road maps has autobahn or similar highway tracks. We have taken the Route Network Definition File Format (RNDF) specified by DARPA been issued by the Defense Advanced Research Projects and identified multiple flaws of the RNDF for creating digital Agency (DARPA) for its autonomous vehicle competitions in maps for autonomous vehicles. Thus, we introduce various desert terrain in 2004 and 2005, and in urban environments enhancements to it to form a digital map graph called RND- in 2007. The Grand Challenges 2004 and 2005 used a route FGraph, which is well suited to map almost any urban trans- definition data format (RDDF) which consists of a list of portation infrastructure. We will also outline and show results of fast optimizations to reduce the graph size. The RNDFGraph longitudes, latitudes, speed limits, and corridor widths that has been used for path-planning and trajectory evaluation by define the course boundary. It was later updated to a route the behavior module of our two autonomous cars “Spirit of network definition file (RNDF) for the Urban Challenge Berlin” and “MadeInGermany”. We have especially tuned the including stop signs, parking spots and intersections. -
Artificial General Intelligence and Classical Neural Network
Artificial General Intelligence and Classical Neural Network Pei Wang Department of Computer and Information Sciences, Temple University Room 1000X, Wachman Hall, 1805 N. Broad Street, Philadelphia, PA 19122 Web: http://www.cis.temple.edu/∼pwang/ Email: [email protected] Abstract— The research goal of Artificial General Intelligence • Capability. Since we often judge the level of intelligence (AGI) and the notion of Classical Neural Network (CNN) are of other people by evaluating their problem-solving capa- specified. With respect to the requirements of AGI, the strength bility, some people believe that the best way to achieve AI and weakness of CNN are discussed, in the aspects of knowledge representation, learning process, and overall objective of the is to build systems that can solve hard practical problems. system. To resolve the issues in CNN in a general and efficient Examples: various expert systems. way remains a challenge to future neural network research. • Function. Since the human mind has various cognitive functions, such as perceiving, learning, reasoning, acting, I. ARTIFICIAL GENERAL INTELLIGENCE and so on, some people believe that the best way to It is widely recognized that the general research goal of achieve AI is to study each of these functions one by Artificial Intelligence (AI) is twofold: one, as certain input-output mapping. Example: various intelligent tools. • As a science, it attempts to provide an explanation of • Principle. Since the human mind seems to follow certain the mechanism in the human mind-brain complex that is principles of information processing, some people believe usually called “intelligence” (or “cognition”, “thinking”, that the best way to achieve AI is to let computer systems etc.). -
Artificial Intelligence: Distinguishing Between Types & Definitions
19 NEV. L.J. 1015, MARTINEZ 5/28/2019 10:48 AM ARTIFICIAL INTELLIGENCE: DISTINGUISHING BETWEEN TYPES & DEFINITIONS Rex Martinez* “We should make every effort to understand the new technology. We should take into account the possibility that developing technology may have im- portant societal implications that will become apparent only with time. We should not jump to the conclusion that new technology is fundamentally the same as some older thing with which we are familiar. And we should not hasti- ly dismiss the judgment of legislators, who may be in a better position than we are to assess the implications of new technology.”–Supreme Court Justice Samuel Alito1 TABLE OF CONTENTS INTRODUCTION ............................................................................................. 1016 I. WHY THIS MATTERS ......................................................................... 1018 II. WHAT IS ARTIFICIAL INTELLIGENCE? ............................................... 1023 A. The Development of Artificial Intelligence ............................... 1023 B. Computer Science Approaches to Artificial Intelligence .......... 1025 C. Autonomy .................................................................................. 1026 D. Strong AI & Weak AI ................................................................ 1027 III. CURRENT STATE OF AI DEFINITIONS ................................................ 1029 A. Black’s Law Dictionary ............................................................ 1029 B. Nevada ..................................................................................... -
Ingenuity in Mathematics Ross Honsberger 10.1090/Nml/023
AMS / MAA ANNELI LAX NEW MATHEMATICAL LIBRARY VOL 23 Ingenuity in Mathematics Ross Honsberger 10.1090/nml/023 INGENUITY IN MATHEMAmCS NEW MATHEMATICAL LIBRARY PUBLISHED BY THEMATHEMATICAL ASSOCIATION OF AMERICA Editorial Committee Basil Gordon, Chairman (1975-76) Anneli Lax, Editor University of California, L.A. New York University Ivan Niven (1 975-77) University of Oregon M. M. Schiffer (1975-77) Stanford University The New Mathematical Library (NML) was begun in 1961 by the School Mathematics Study Group to make available to high school students short expository books on various topics not usually covered in the high school syllabus. In a decade the NML matured into a steadily growing series of some twenty titles of interest not only to the originally intended audience, but to college students and teachers at all levels. Previously published by Random House and L. W. Singer, the NML became a publication series of the Mathematical Association of America (MAA) in 1975. Under the auspices of the MAA the NML will continue to grow and will remain dedicated to its original and expanded purposes. INGENUITY IN MATHEMATICS by Ross Honsberger University of Waterloo, Canada 23 MATHEMATICAL ASSOCIATION OF AMERICA Illustrated by George H. Buehler Sixth Printing © Copyright 1970, by the Mathematical Association of America A11 rights reserved under International and Pan-American Copyright Conventions. Published in Washington by The Mathematical Association of America Library of Congress Catalog Card Number: 77-134351 Print ISBN 978-0-88385-623-9 Electronic ISBN 978-0-88385-938-4 Manufactured in the United States of America Note to the Reader his book is one of a series written by professional mathematicians Tin order to make some important mathematical ideas interesting and understandable to a large audience of high school students and laymen. -
Television Advertising Insights
Lockdown Highlight Tous en cuisine, M6 (France) Foreword We are delighted to present you this 27th edition of trends and to the forecasts for the years to come. TV Key Facts. All this information and more can be found on our This edition collates insights and statistics from dedi cated TV Key Facts platform www.tvkeyfacts.com. experts throughout the global Total Video industry. Use the link below to start your journey into the In this unprecedented year, we have experienced media advertising landscape. more than ever how creative, unitive, and resilient Enjoy! / TV can be. We are particularly thankful to all participants and major industry players who agreed to share their vision of media and advertising’s future especially Editors-in-chief & Communications. during these chaotic times. Carine Jean-Jean Alongside this magazine, you get exclusive access to Coraline Sainte-Beuve our database that covers 26 countries worldwide. This country-by-country analysis comprises insights for both television and digital, which details both domestic and international channels on numerous platforms. Over the course of the magazine, we hope to inform you about the pandemic’s impact on the market, where the market is heading, media’s social and environmental responsibility and all the latest innovations. Allow us to be your guide to this year’s ACCESS OUR EXCLUSIVE DATABASE ON WWW.TVKEYFACTS.COM WITH YOUR PERSONAL ACTIVATION CODE 26 countries covered. Television & Digital insights: consumption, content, adspend. Australia, Austria, Belgium, Brazil, Canada, China, Croatia, Denmark, France, Finland, Germany, Hungary, India, Italy, Ireland, Japan, Luxembourg, The Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, UK and the US. -
Safety of Artificial Superintelligence
Environment. Technology. Resources. Rezekne, Latvia Proceedings of the 12th International Scientific and Practical Conference. Volume II, 180-183 Safety of Artificial Superintelligence Aleksejs Zorins Peter Grabusts Faculty of Engineering Faculty of Engineering Rezekne Academy of Technologies Rezekne Academy of Technologies Rezekne, Latvia Rezekne, Latvia [email protected] [email protected] Abstract—The paper analyses an important problem of to make a man happy it will do it with the fastest and cyber security from human safety perspective which is usu- cheapest (in terms of computational resources) without ally described as data and/or computer safety itself with- using a common sense (for example killing of all people out mentioning the human. There are numerous scientific will lead to the situation that no one is unhappy or the predictions of creation of artificial superintelligence, which decision to treat human with drugs will also make him could arise in the near future. That is why the strong neces- sity for protection of such a system from causing any farm happy etc.). Another issue is that we want computer to arises. This paper reviews approaches and methods already that we want, but due to bugs in the code computer will presented for solving this problem in a single article, analy- do what the code says, and in the case of superintelligent ses its results and provides future research directions. system, this may be a disaster. Keywords—Artificial Superintelligence, Cyber Security, The next sections of the paper will show the possible Singularity, Safety of Artificial Intelligence. solutions of making superintelligence safe to humanity. -
Liability Law for Present and Future Robotics Technology Trevor N
Liability Law for Present and Future Robotics Technology Trevor N. White and Seth D. Baum Global Catastrophic Risk Institute http://gcrinstitute.org * http://sethbaum.com Published in Robot Ethics 2.0, edited by Patrick Lin, George Bekey, Keith Abney, and Ryan Jenkins, Oxford University Press, 2017, pages 66-79. This version 10 October 2017 Abstract Advances in robotics technology are causing major changes in manufacturing, transportation, medicine, and a number of other sectors. While many of these changes are beneficial, there will inevitably be some harms. Who or what is liable when a robot causes harm? This paper addresses how liability law can and should account for robots, including robots that exist today and robots that potentially could be built at some point in the near or distant future. Already, robots have been implicated in a variety of harms. However, current and near-future robots pose no significant challenge for liability law: they can be readily handled with existing liability law or minor variations thereof. We show this through examples from medical technology, drones, and consumer robotics. A greater challenge will arise if it becomes possible to build robots that merit legal personhood and thus can be held liable. Liability law for robot persons could draw on certain precedents, such as animal liability. However, legal innovations will be needed, in particular for determining which robots merit legal personhood. Finally, a major challenge comes from the possibility of future robots that could cause major global catastrophe. As with other global catastrophic risks, liability law could not apply, because there would be no post- catastrophe legal system to impose liability.