IEEE EAD First Edition Committees List Table of Contents (1 January 2019)
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A Century Long Commitment to Assessing Artificial Intelligence and Its Impact on Society1 Barbara J
A Century Long Commitment to Assessing Artificial Intelligence and Its Impact on Society1 Barbara J. Grosz, Harvard University, Inaugural Chair of the AI100 Standing Committee Peter Stone, University of Texas at Austin, Chair of the Inaugural AI100 Study Panel The Stanford One Hundred Year Study on Artificial Intelligence, a project that launched in December 2014, is designed to be a century-long periodic assessment of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society. Colloquially referred to as "AI100", the project issued its first report in September 2016. A Standing Committee works with the Stanford Faculty Director of AI100 in overseeing the project and designing its activities. A little more than two years after the first report appeared, we reflect on the decisions made in shaping it, the process that produced it, its major conclusions, and reactions subsequent to its release. The inaugural AI100 report [4], which is titled “Artificial Intelligence and Life in 2030,” examines eight domains of human activity in which AI technologies are already starting to affect urban life. In scope, it encompasses domains with emerging products enabled by AI methods and ones raising concerns about technological impact generated by potential AI-enabled systems. The Study Panel members who authored the report and the AI100 Standing Committee, which is the body that directs the AI100 project, intend for it to act as a catalyst, spurring conversations on how we as a society might shape and share the potentially powerful technologies that AI could enable. In addition to influencing researchers and guiding decisions in industry and governments, the report aims to provide the general public with a scientifically and technologically accurate portrayal of the current state of AI and its potential. -
“Reflections on the Status and Future of Artificial Intelligence”
STATEMENT OF: ERIC HORVITZ TECHNICAL FELLOW AND DIRECTOR MICROSOFT RESEARCH—REDMOND LAB MICROSOFT CORPORATION BEFORE THE COMMITTEE ON COMMERCE SUBCOMMITTEE ON SPACE, SCIENCE, AND COMPETITIVENESS UNITED STATES SENATE HEARING ON THE DAWN OF ARTIFICIAL INTELLIGENCE NOVEMBER 30, 2016 “Reflections on the Status and Future of Artificial Intelligence” NOVEMBER 30, 2016 1 Chairman Cruz, Ranking Member Peters, and Members of the Subcommittee, my name is Eric Horvitz, and I am a Technical Fellow and Director of Microsoft’s Research Lab in Redmond, Washington. While I am also serving as Co-Chair of a new organization, the Partnership on Artificial Intelligence, I am speaking today in my role at Microsoft. We appreciate being asked to testify about AI and are committed to working collaboratively with you and other policymakers so that the potential of AI to benefit our country, and to people and society more broadly can be fully realized. With my testimony, I will first offer a historical perspective of AI, a definition of AI and discuss the inflection point the discipline is currently facing. Second, I will highlight key opportunities using examples in the healthcare and transportation industries. Third, I will identify the important research direction many are taking with AI. Next, I will attempt to identify some of the challenges related to AI and offer my thoughts on how best to address them. Finally, I will offer several recommendations. What is Artificial Intelligence? Artificial intelligence (AI) refers to a set of computer science disciplines aimed at the scientific understanding of the mechanisms underlying thought and intelligent behavior and the embodiment of these principles in machines that can deliver value to people and society. -
Robotics Laboratory List
Robotics List (ロボット技術関連コースのある大学) Robotics List by University Degree sought English Undergraduate / Graduate Admissions Office No. University Department Professional Keywords Application Deadline Degree in Lab links Schools / Institutes or others Website Bachelor Master’s Doctoral English Admissions Master's English Graduate School of Science and Department of Mechanical http://www.se.chiba- Robotics, Dexterous Doctoral:June and December ○ http://www.em.eng.chiba- 1 Chiba University ○ ○ ○ Engineering Engineering u.jp/en/ Manipulation, Visual Recognition Master's:June (Doctoral only) u.jp/~namiki/index-e.html Laboratory Innovative Therapeutic Engineering directed by Prof. Graduate School of Science and Department of Medical http://www.tms.chiba- Doctoral:June and December ○ 1 Chiba University ○ ○ Surgical Robotics ○ Ryoichi Nakamura Engineering Engineering u.jp/english/index.html Master's:June (Doctoral only) http://www.cfme.chiba- u.jp/~nakamura/ Micro Electro Mechanical Systems, Micro Sensors, Micro Micro System Laboratory (Dohi http://global.chuo- Graduate School of Science and Coil, Magnetic Resonance ○ ○ Lab.) 2 Chuo University Precision Mechanics u.ac.jp/english/admissio ○ ○ October Engineering Imaging, Blood Pressure (Doctoral only) (Doctoral only) http://www.msl.mech.chuo-u.ac.jp/ ns/ Measurement, Arterial Tonometry (Japanese only) Method Assistive Robotics, Human-Robot Communication, Human-Robot Human-Systems Laboratory http://global.chuo- Graduate School of Science and Collaboration, Ambient ○ http://www.mech.chuo- 2 Chuo University -
Design and Control of a Large Modular Robot Hexapod
Design and Control of a Large Modular Robot Hexapod Matt Martone CMU-RI-TR-19-79 November 22, 2019 The Robotics Institute School of Computer Science Carnegie Mellon University Pittsburgh, PA Thesis Committee: Howie Choset, chair Matt Travers Aaron Johnson Julian Whitman Submitted in partial fulfillment of the requirements for the degree of Master of Science in Robotics. Copyright © 2019 Matt Martone. All rights reserved. To all my mentors: past and future iv Abstract Legged robotic systems have made great strides in recent years, but unlike wheeled robots, limbed locomotion does not scale well. Long legs demand huge torques, driving up actuator size and onboard battery mass. This relationship results in massive structures that lack the safety, portabil- ity, and controllability of their smaller limbed counterparts. Innovative transmission design paired with unconventional controller paradigms are the keys to breaking this trend. The Titan 6 project endeavors to build a set of self-sufficient modular joints unified by a novel control architecture to create a spiderlike robot with two-meter legs that is robust, field- repairable, and an order of magnitude lighter than similarly sized systems. This thesis explores how we transformed desired behaviors into a set of workable design constraints, discusses our prototypes in the context of the project and the field, describes how our controller leverages compliance to improve stability, and delves into the electromechanical designs for these modular actuators that enable Titan 6 to be both light and strong. v vi Acknowledgments This work was made possible by a huge group of people who taught and supported me throughout my graduate studies and my time at Carnegie Mellon as a whole. -
Letters to the Editor
Articles Letters to the Editor Research Priorities for is a product of human intelligence; we puter scientists, innovators, entrepre - cannot predict what we might achieve neurs, statisti cians, journalists, engi - Robust and Beneficial when this intelligence is magnified by neers, authors, professors, teachers, stu - Artificial Intelligence: the tools AI may provide, but the eradi - dents, CEOs, economists, developers, An Open Letter cation of disease and poverty are not philosophers, artists, futurists, physi - unfathomable. Because of the great cists, filmmakers, health-care profes - rtificial intelligence (AI) research potential of AI, it is important to sionals, research analysts, and members Ahas explored a variety of problems research how to reap its benefits while of many other fields. The earliest signa - and approaches since its inception, but avoiding potential pitfalls. tories follow, reproduced in order and as for the last 20 years or so has been The progress in AI research makes it they signed. For the complete list, see focused on the problems surrounding timely to focus research not only on tinyurl.com/ailetter. - ed. the construction of intelligent agents making AI more capable, but also on Stuart Russell, Berkeley, Professor of Com - — systems that perceive and act in maximizing the societal benefit of AI. puter Science, director of the Center for some environment. In this context, Such considerations motivated the “intelligence” is related to statistical Intelligent Systems, and coauthor of the AAAI 2008–09 Presidential Panel on standard textbook Artificial Intelligence: a and economic notions of rationality — Long-Term AI Futures and other proj - Modern Approach colloquially, the ability to make good ects on AI impacts, and constitute a sig - Tom Dietterich, Oregon State, President of decisions, plans, or inferences. -
New Method for Robotic Systems Architecture
NEW METHOD FOR ROBOTIC SYSTEMS ARCHITECTURE ANALYSIS, MODELING, AND DESIGN By LU LI Submitted in partial fulfillment of the requirements For the degree of Master of Science Thesis Advisor: Dr. Roger Quinn Department of Mechanical and Aerospace Engineering CASE WESTERN RESERVE UNIVERSITY August 2019 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of Lu Li candidate for the degree of Master of Science. Committee Chair Dr. Roger Quinn Committee Member Dr. Musa Audu Committee Member Dr. Richard Bachmann Date of Defense July 5, 2019 *We also certify that written approval has been obtained for any proprietary material contained therein. ii Table of Contents Table of Contents ................................................................................................................................................ i List of Tables ....................................................................................................................................................... ii List of Figures .................................................................................................................................................... iii Copyright page .................................................................................................................................................. iv Preface ..................................................................................................................................................................... v Acknowledgements -
IEEE Annual Report- 2017
THE 2017 IEEE TABLE OF PRESIDENT’S COIN CONTENTS Initiated by 2016 President Barry Shoop, the IEEE President’s Coin 1 MESSAGE FROM THE IEEE PRESIDENT is given to individuals in recognition of their dedication to IEEE. For me, one of the most interesting aspects is the embodiment of the President’s unique design and story. 3 INSPIRING CHANGE. EMPOWERING PEOPLE. “Find Your Reason, Purpose and Passion” 5 GROWING GLOBAL AND INDUSTRY PARTNERSHIPS The front of my coin features a personal motto, inspired by my daughter - “Find Your Reason, Purpose and Passion,” along with the mission of IEEE. 9 GROWING AWARENESS OF IEEE The back highlights five areas of IEEE activities in the outer ring and different facets of IEEE in the center. 15 EXPANDING IEEE’S PRESENCE AROUND THE WORLD The Wi-Fi symbol denotes IEEE’s leadership in standards. 21 ADVANCING TECHNOLOGY FOR THE FUTURE The image next to that represents engineering in medicine and biology. The skyline signifies Smart Cities and IEEE’s global nature. 27 REWARDING EXCELLENCE The circuit diagram symbolizes our computer and electronic engineering disciplines. The plant is for 31 ENCOURAGING OUTREACH AND DRIVING RESEARCH IEEE’s power and energy fields and sustainability initiatives. The sine wave stands for our many communications domains. 35 ELEVATING ENGAGEMENT My favorite icon is the group of people with one individual who is a little different, showing IEEE 39 IEEE BOARD OF DIRECTORS AND MANAGEMENT COUNCIL members welcoming me as a female engineer. With each coin I presented, came the feeling of pride 41 MESSAGE FROM THE TREASURER AND REPORT and humbleness to serve our great institution. -
Curriculum Vitae
6/14/21 CURRICULUM VITAE Edward Hance Shortliffe, MD, PhD, MACP, FACMI, FIAHSI [work] Chair Emeritus and Adjunct Professor, Department of Biomedical Informatics Vagelos College of Physicians and Surgeons, Columbia University in the City of New York [email protected] – https://www.dbmi.columbia.edu/people/edward-shortliffe/ Adjunct Professor of Biomedical Informatics College of Health Solutions Arizona State University, Phoenix, AZ [email protected] – https://isearch.asu.edu/profile/1098580 Adjunct Professor, Department of Healthcare Policy and Research (Health Informatics) Weill Cornell Medical College, New York, NY http://hpr.weill.cornell.edu/divisions/health_informatics/ [home] 272 W 107th St #5B, New York, NY 10025-7833 Phone: 212-666-8440 — Mobile: 917-640-0933 [email protected] – http://www.shortliffe.net Born: Edmonton, Alberta, Canada Date of birth: 28 August 1947 Citizenship: U.S.A. (naturalized - 1962) Spouse: Vimla L. Patel, PhD Education From To School/Institution Major Subject, Degree, and Date 9/62 6/65 The Loomis School, Windsor, CT. High School 9/65 7/66 Gresham's School, Holt, Norfolk, U.K. Foreign Exchange Student 9/66 6/70 Harvard College, Cambridge, MA. Applied Math and Computer Science, A.B., June 1970 9/70 1/75 Stanford University, Stanford, CA PhD, Medical Information Sciences, January 1975 9/70 6/76 Stanford University School of Medicine MD, June 1976. 7/76 6/77 Massachusetts General Hospital, Boston, MA Internship in Internal Medicine 7/77 6/79 Stanford University Hospital, Stanford, CA Residency in Internal Medicine Honors Graduation Magna Cum Laude, Harvard College, June 1970 Medical Scientist Training Program (MSTP), NIH-funded Stanford Traineeship, September 1971 - June 1976 Grace Murray Hopper Award (Distinguished computer scientist under age 30), Association for Computing Machinery, October 1976 Research Career Development Award, National Library of Medicine, July 1979—June 1984 Henry J. -
The Future of AI: Opportunities and Challenges
The Future of AI: Opportunities and Challenges Puerto Rico, January 2-5, 2015 ! Ajay Agrawal is the Peter Munk Professor of Entrepreneurship at the University of Toronto's Rotman School of Management, Research Associate at the National Bureau of Economic Research in Cambridge, MA, Founder of the Creative Destruction Lab, and Co-founder of The Next 36. His research is focused on the economics of science and innovation. He serves on the editorial boards of Management Science, the Journal of Urban Economics, and The Strategic Management Journal. & Anthony Aguirre has worked on a wide variety of topics in theoretical cosmology, ranging from intergalactic dust to galaxy formation to gravity physics to the large-scale structure of inflationary universes and the arrow of time. He also has strong interest in science outreach, and has appeared in numerous science documentaries. He is a co-founder of the Foundational Questions Institute and the Future of Life Institute. & Geoff Anders is the founder of Leverage Research, a research institute that studies psychology, cognitive enhancement, scientific methodology, and the impact of technology on society. He is also a member of the Effective Altruism movement, a movement dedicated to improving the world in the most effective ways. Like many of the members of the Effective Altruism movement, Geoff is deeply interested in the potential impact of new technologies, especially artificial intelligence. & Blaise Agüera y Arcas works on machine learning at Google. Previously a Distinguished Engineer at Microsoft, he has worked on augmented reality, mapping, wearable computing and natural user interfaces. He was the co-creator of Photosynth, software that assembles photos into 3D environments. -
Beneficial AI 2017
Beneficial AI 2017 Participants & Attendees 1 Anthony Aguirre is a Professor of Physics at the University of California, Santa Cruz. He has worked on a wide variety of topics in theoretical cosmology and fundamental physics, including inflation, black holes, quantum theory, and information theory. He also has strong interest in science outreach, and has appeared in numerous science documentaries. He is a co-founder of the Future of Life Institute, the Foundational Questions Institute, and Metaculus (http://www.metaculus.com/). Sam Altman is president of Y Combinator and was the cofounder of Loopt, a location-based social networking app. He also co-founded OpenAI with Elon Musk. Sam has invested in over 1,000 companies. Dario Amodei is the co-author of the recent paper Concrete Problems in AI Safety, which outlines a pragmatic and empirical approach to making AI systems safe. Dario is currently a research scientist at OpenAI, and prior to that worked at Google and Baidu. Dario also helped to lead the project that developed Deep Speech 2, which was named one of 10 “Breakthrough Technologies of 2016” by MIT Technology Review. Dario holds a PhD in physics from Princeton University, where he was awarded the Hertz Foundation doctoral thesis prize. Amara Angelica is Research Director for Ray Kurzweil, responsible for books, charts, and special projects. Amara’s background is in aerospace engineering, in electronic warfare, electronic intelligence, human factors, and computer systems analysis areas. A co-founder and initial Academic Model/Curriculum Lead for Singularity University, she was formerly on the board of directors of the National Space Society, is a member of the Space Development Steering Committee, and is a professional member of the Institute of Electrical and Electronics Engineers (IEEE). -
Machine Learning, Reasoning, and Intelligence in Daily Life: Directions and Challenges
Machine Learning, Reasoning, and Intelligence in Daily Life: Directions and Challenges Eric Horvitz Microsoft Research Redmond, Washington USA 98052 [email protected] Abstract An example of an implicit integration of ambient learning Technical developments and trends are providing a and reasoning is the effort by our team to create a probabil- fertile substrate for creating and integrating ma- istic action prediction and prefetching subsystem that is em- chine learning and reasoning into multiple applica- bedded deeply in the kernel of Microsoft’s Windows Vista tions and services. I will review several illustrative operating system. The predictive component, operating research efforts on our team, and focus on chal- within a component in the Vista operating system called lenges, opportunities, and directions with the Superfetch, learns by watching sequences of application streaming of machine intelligence into daily life. launches over time to predict a computer user’s application launches. These predictions, coupled with a utility model 1 Reflections on Trends and Directions that captures preferences about the cost of waiting, are used Over the last decade, technical and infrastructural develop- in an ongoing optimization to prefetch unlaunched applica- ments have come together to create a nurturing environment tions into memory ahead of their manual launching. The for developing and fielding applications of machine learning implicit service seeks to minimize the average wait for ap- and reasoning—and for harnessing automated intelligence -
F.3. the NEW POLITICS of ARTIFICIAL INTELLIGENCE [Preliminary Notes]
F.3. THE NEW POLITICS OF ARTIFICIAL INTELLIGENCE [preliminary notes] MAIN MEMO pp 3-14 I. Introduction II. The Infrastructure: 13 key AI organizations III. Timeline: 2005-present IV. Key Leadership V. Open Letters VI. Media Coverage VII. Interests and Strategies VIII. Books and Other Media IX. Public Opinion X. Funders and Funding of AI Advocacy XI. The AI Advocacy Movement and the Techno-Eugenics Movement XII. The Socio-Cultural-Psychological Dimension XIII. Push-Back on the Feasibility of AI+ Superintelligence XIV. Provisional Concluding Comments ATTACHMENTS pp 15-78 ADDENDA pp 79-85 APPENDICES [not included in this pdf] ENDNOTES pp 86-88 REFERENCES pp 89-92 Richard Hayes July 2018 DRAFT: NOT FOR CIRCULATION OR CITATION F.3-1 ATTACHMENTS A. Definitions, usage, brief history and comments. B. Capsule information on the 13 key AI organizations. C. Concerns raised by key sets of the 13 AI organizations. D. Current development of AI by the mainstream tech industry E. Op-Ed: Transcending Complacency on Superintelligent Machines - 19 Apr 2014. F. Agenda for the invitational “Beneficial AI” conference - San Juan, Puerto Rico, Jan 2-5, 2015. G. An Open Letter on Maximizing the Societal Benefits of AI – 11 Jan 2015. H. Partnership on Artificial Intelligence to Benefit People and Society (PAI) – roster of partners. I. Influential mainstream policy-oriented initiatives on AI: Stanford (2016); White House (2016); AI NOW (2017). J. Agenda for the “Beneficial AI 2017” conference, Asilomar, CA, Jan 2-8, 2017. K. Participants at the 2015 and 2017 AI strategy conferences in Puerto Rico and Asilomar. L. Notes on participants at the Asilomar “Beneficial AI 2017” meeting.