- published: 22 May 2015
- views: 79944
Stuart Russell may refer to:
Artificial intelligence (AI) is the intelligence exhibited by machines or software. It is also the name of the academic field of study which studies how to create computers and computer software that are capable of intelligent behavior. Major AI researchers and textbooks define this field as "the study and design of intelligent agents", in which an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.John McCarthy, who coined the term in 1955, defines it as "the science and engineering of making intelligent machines".
AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other. Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.
Coordinates: 37°48′08″N 122°16′17″W / 37.802168°N 122.271281°W / 37.802168; -122.271281
The University of California (UC) is a public university system in the U.S. state of California. Under the California Master Plan for Higher Education, the University of California is a part of the state's three-system public higher education plan, which also includes the California State University system and the California Community Colleges System.
Governed by a semi-autonomous Board of Regents, the University of California has 10 campuses, a combined student body of 238,700 students, 19,700 faculty members, 135,900 staff members and over 1.6 million living alumni as of spring 2015.
The University of California was founded in 1868 in Berkeley, California. Its tenth and newest campus, UC Merced, opened for classes in fall 2005. Nine campuses enroll both undergraduate and graduate students; one campus, UC San Francisco, enrolls only graduate and professional students in the medical and health sciences. In addition, the UC Hastings College of Law, located in San Francisco, shares the "UC" name but is otherwise effectively unaffiliated with the UC system.
Russell may refer to:
Computer science is the scientific and practical approach to computation and its applications. It is the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that underlie the acquisition, representation, processing, storage, communication of, and access to information. An alternate, more succinct definition of computer science is the study of automating algorithmic processes that scale. A computer scientist specializes in the theory of computation and the design of computational systems.
Its fields can be divided into a variety of theoretical and practical disciplines. Some fields, such as computational complexity theory (which explores the fundamental properties of computational and intractable problems), are highly abstract, while fields such as computer graphics emphasize real-world visual applications. Still other fields focus on challenges in implementing computation. For example, programming language theory considers various approaches to the description of computation, while the study of computer programming itself investigates various aspects of the use of programming language and complex systems. Human–computer interaction considers the challenges in making computers and computations useful, usable, and universally accessible to humans.
The Centre for the Study of Existential Risk is delighted to host Professor Stuart J. Russell (University of California, Berkeley) for a public lecture on Friday 15th May 2015. The Long-Term Future of (Artificial) Intelligence Abstract: The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Elon Musk, and Bill Gates. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required. Stuart Russell is one of the leading figures in modern artificial intelligence. He is a professor of computer science and founder of the Center for Intelligent ...
What is artificial intelligence (AI)? How do robots work? Will robots deliver an economic paradise, kill us all, or both? Stuart Russell is a Professor of Computer Science at UC Berkeley. His research, for which he has won many international awards, covers most aspects of artificial intelligence and machine learning. His book “Artificial Intelligence: A Modern Approach” (co-authored with Peter Norvig) is the standard text in the field. He also works on nuclear weapons treaty verification, banning killer robots, and the long-term future of AI and the human race. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Presented at the 2016 Colloquium Series on Robust and Beneficial AI (CSRBAI) hosted by the Machine Intelligence Research Institute (MIRI) and Oxford's Future of Humanity Institute (FHI). https://intelligence.org/colloquium-series/
The slides to this talk can be downloaded here: http://www.pt-ai.org/2013/program Abstract: The notion of bounded optimality has been proposed as a replacement for perfect rationality as a theoretical foundation for AI. I will review the motivation for this concept, including similar ideas from other fields, and describe some research undertaken within this paradigm to address the problems faced by intelligent agents in making complex decisions over long time scales.
How can we harness the power of superintelligent AI while also preventing the catastrophe of robotic takeover? As we move closer toward creating all-knowing machines, AI pioneer Stuart Russell is working on something a bit different: robots with uncertainty. Hear his vision for human-compatible AI that can solve problems using common sense, altruism and other human values. The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to...
Interview with Stuart Russell, Professor of Computer Science, University of California, Berkeley, at the AI for Good Global Summit, ITU, Geneva, Switzerland.
In this episode of the Waking Up podcast, Sam Harris speaks with computer scientist Stuart Russell about the challenge of building artificial intelligence that is compatible with human well-being. Stuart Russell is a Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California, Berkeley and Adjunct Professor of Neurological Surgery, University of California, San Francisco. He is the author (with Peter Norvig) of Artificial Intelligence: A Modern Approach. Want to support the Waking Up podcast? Please visit: http://www.samharris.org/support Subscribe to the podcast: http://www.youtube.com/subscription_center?add_user=samharrisorg Get Sam’s email newsletter: https://www.samharris.org/email_signup Follow Sam on Twitter: https://twitter.com/samharriso...
The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Frank Wilczek, and Elon Musk. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required.
Harvard Professor Barbara Grosz and Nobel Prize Winner Michael Levitt think artificial inteligence (AI) and robotics are overhyped and the irrationally high expectation of what AI can do now would bring huge disappointment again to the field of AI. Dr. Barbara J. Grosz is the Professor at Harvard University. She has made seminal contributions to the fields of natural language processing (NPL), multi-agent systems and human-computer interface systems. She developed some of the earliest computer dialogue systems and established the research field of computational modeling of discourse. Grosz is a member of the National Academy of Engineering, the American Philosophical Society, the Royal Society of Edinburgh, and the American Academy of Arts and Sciences and a fellow of the Association for ...
The Centre for the Study of Existential Risk is delighted to host Professor Stuart J. Russell (University of California, Berkeley) for a public lecture on Friday 15th May 2015. The Long-Term Future of (Artificial) Intelligence Abstract: The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Elon Musk, and Bill Gates. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required. Stuart Russell is one of the leading figures in modern artificial intelligence. He is a professor of computer science and founder of the Center for Intelligent ...
What is artificial intelligence (AI)? How do robots work? Will robots deliver an economic paradise, kill us all, or both? Stuart Russell is a Professor of Computer Science at UC Berkeley. His research, for which he has won many international awards, covers most aspects of artificial intelligence and machine learning. His book “Artificial Intelligence: A Modern Approach” (co-authored with Peter Norvig) is the standard text in the field. He also works on nuclear weapons treaty verification, banning killer robots, and the long-term future of AI and the human race. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Presented at the 2016 Colloquium Series on Robust and Beneficial AI (CSRBAI) hosted by the Machine Intelligence Research Institute (MIRI) and Oxford's Future of Humanity Institute (FHI). https://intelligence.org/colloquium-series/
The slides to this talk can be downloaded here: http://www.pt-ai.org/2013/program Abstract: The notion of bounded optimality has been proposed as a replacement for perfect rationality as a theoretical foundation for AI. I will review the motivation for this concept, including similar ideas from other fields, and describe some research undertaken within this paradigm to address the problems faced by intelligent agents in making complex decisions over long time scales.
How can we harness the power of superintelligent AI while also preventing the catastrophe of robotic takeover? As we move closer toward creating all-knowing machines, AI pioneer Stuart Russell is working on something a bit different: robots with uncertainty. Hear his vision for human-compatible AI that can solve problems using common sense, altruism and other human values. The TED Talks channel features the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to...
Interview with Stuart Russell, Professor of Computer Science, University of California, Berkeley, at the AI for Good Global Summit, ITU, Geneva, Switzerland.
In this episode of the Waking Up podcast, Sam Harris speaks with computer scientist Stuart Russell about the challenge of building artificial intelligence that is compatible with human well-being. Stuart Russell is a Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California, Berkeley and Adjunct Professor of Neurological Surgery, University of California, San Francisco. He is the author (with Peter Norvig) of Artificial Intelligence: A Modern Approach. Want to support the Waking Up podcast? Please visit: http://www.samharris.org/support Subscribe to the podcast: http://www.youtube.com/subscription_center?add_user=samharrisorg Get Sam’s email newsletter: https://www.samharris.org/email_signup Follow Sam on Twitter: https://twitter.com/samharriso...
The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Frank Wilczek, and Elon Musk. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required.
Harvard Professor Barbara Grosz and Nobel Prize Winner Michael Levitt think artificial inteligence (AI) and robotics are overhyped and the irrationally high expectation of what AI can do now would bring huge disappointment again to the field of AI. Dr. Barbara J. Grosz is the Professor at Harvard University. She has made seminal contributions to the fields of natural language processing (NPL), multi-agent systems and human-computer interface systems. She developed some of the earliest computer dialogue systems and established the research field of computational modeling of discourse. Grosz is a member of the National Academy of Engineering, the American Philosophical Society, the Royal Society of Edinburgh, and the American Academy of Arts and Sciences and a fellow of the Association for ...
The Centre for the Study of Existential Risk is delighted to host Professor Stuart J. Russell (University of California, Berkeley) for a public lecture on Friday 15th May 2015. The Long-Term Future of (Artificial) Intelligence Abstract: The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Elon Musk, and Bill Gates. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required. Stuart Russell is one of the leading figures in modern artificial intelligence. He is a professor of computer science and founder of the Center for Intelligent ...
Presented at the 2016 Colloquium Series on Robust and Beneficial AI (CSRBAI) hosted by the Machine Intelligence Research Institute (MIRI) and Oxford's Future of Humanity Institute (FHI). https://intelligence.org/colloquium-series/
The slides to this talk can be downloaded here: http://www.pt-ai.org/2013/program Abstract: The notion of bounded optimality has been proposed as a replacement for perfect rationality as a theoretical foundation for AI. I will review the motivation for this concept, including similar ideas from other fields, and describe some research undertaken within this paradigm to address the problems faced by intelligent agents in making complex decisions over long time scales.
In this episode of the Waking Up podcast, Sam Harris speaks with computer scientist Stuart Russell about the challenge of building artificial intelligence that is compatible with human well-being. Stuart Russell is a Professor of Computer Science and Smith-Zadeh Professor in Engineering, University of California, Berkeley and Adjunct Professor of Neurological Surgery, University of California, San Francisco. He is the author (with Peter Norvig) of Artificial Intelligence: A Modern Approach. Want to support the Waking Up podcast? Please visit: http://www.samharris.org/support Subscribe to the podcast: http://www.youtube.com/subscription_center?add_user=samharrisorg Get Sam’s email newsletter: https://www.samharris.org/email_signup Follow Sam on Twitter: https://twitter.com/samharriso...
Harvard Professor Barbara Grosz and Nobel Prize Winner Michael Levitt think artificial inteligence (AI) and robotics are overhyped and the irrationally high expectation of what AI can do now would bring huge disappointment again to the field of AI. Dr. Barbara J. Grosz is the Professor at Harvard University. She has made seminal contributions to the fields of natural language processing (NPL), multi-agent systems and human-computer interface systems. She developed some of the earliest computer dialogue systems and established the research field of computational modeling of discourse. Grosz is a member of the National Academy of Engineering, the American Philosophical Society, the Royal Society of Edinburgh, and the American Academy of Arts and Sciences and a fellow of the Association for ...
The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Frank Wilczek, and Elon Musk. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required.
Berkeley EECS Annual Research Symposium 2/9/17 Panel 2 - Long-Term Future of (Artificial) Intelligence Provably Beneficial AI - Stuart Russell (0:00-24:25) The Future of AI is Here - Benjamin Recht (25:34-36:16) A Glimmer of Hope - Alyosha Efros (36:23-42:12) panel discussion (42:15-1:19:45) Captions available upon request.
Biography: Stuart Russell received his B.A. with first-class honours in physics from Oxford University in 1982 and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is Professor (and formerly Chair) of Electrical Engineering and Computer Sciences and holder of the Smith-Zadeh Chair in Engineering. He is also an Adjunct Professor of Neurological Surgery at UC San Francisco and Vice-Chair of the World Economic Forum's Council on AI and Robotics. He has published over 150 papers on a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multitarget tracking, computer vision, computational physiology, ...