- published: 13 Sep 2016
- views: 1400
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Nils John Nilsson
Nils John Nilsson (born 1933) is an American computer scientist. He is one of the founding researchers in the discipline of artificial intelligence. He is the first Kumagai Professor of Engineering (Emeritus) in Computer Science at Stanford University, position that he held since the chair was established in 1990 through 1995. He is particularly famous for his contributions to search, planning, knowledge representation, and robotics.
His research has been based mainly on the premise that intelligence is based on knowledge that must be represented explicitly.
Early life and education
Nilsson received his Ph.D. from Stanford in 1958, and spent much of his career at SRI International, a private research lab spun off from Stanford.
Career
SRI International
Starting in 1966, Nilsson, along with Charles A. Rosen and Bertram Raphael, led a research team in the construction of Shakey, a robot that constructed a model of its environment from sensor data, reasoned about that environment to arrive at a plan of action, then carried that plan out by sending commands to its motors. This paradigm has been enormously influential in AI. (Textbooks such as (Charniak & McDermott 1985), (Ginsberg 1993) and the first edition of (Russell & Norvig 1992) show this influence in almost every chapter, although the entire field has not always stayed under its spell.) Although the basic idea of using logical reasoning to decide on actions is due to John McCarthy (McCarthy), Nilsson's group was the first to embody it in a complete agent, along the way inventing the A* search algorithm (Hart, Nilsson & Raphael 1968) and founding the field of automated temporal planning. In the latter pursuit, they invented the STRIPS planner (Fikes & Nilsson 1971), whose action representation is still the basis of many of today's planning algorithms. The subfield of automated temporal planning called classical planning is based on most of the assumptions built into STRIPS.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Nils_John_Nilsson
Nils Nilsson
Nils Nilsson may refer to:
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Nils_Nilsson
Nils Nilsson (wrestler)
Nils Nilsson (7 January 1899 – 18 July 1961) was a Swedish wrestler. He competed in the freestyle featherweight event at the 1924 Summer Olympics.
References
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Nils_Nilsson_(wrestler)
Nils Erik Nilsson
Nils Erik "Dubbel-Nisse" Nilsson (born 8 March 1936) is a retired Swedish ice hockey forward. Between 1954 and 1967 he played 205 international matches and scored 131 goals, which is the second-best scoring result, behind that of Sven Tumba. He won the world title in 1957 and 1962, finishing second in 1963 and 1967 and third in 1958 and 1965. He competed at the 1956, 1960 and 1964 Winter Olympics, and finished in fourth, fifth and second place, respectively. He was the best forward of the 1960 tournament and was selected to the all-star team at the 1962 World Championships. In 2002 he was inducted into the International Ice Hockey Federation Hall of Fame.
Nilsson won only one national title, in his last season (1969). Yet he was awarded the Goldpucken award in 1966 as the best Swedish player and the Rinkens riddare award in 1967 for sportsmanlike behavior, and was selected to the Swedish all-star team in 1959, 1960, 1962, 1965 and 1967.
Nilsson also played association football with Djurgårdens IF, IK Göta and Karlstad BK, and won the naitonal title with Djurgårdens in 1959. After retiring from competitions he worked as a product developer with Jofa, a Swedish manufacturer of sporting equipment.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Nils_Erik_Nilsson
Podcasts:
-
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 1
Interviewed by Nils Nilsson, on 2007-06-20 in Mountain View, California, X3896.2007 © Computer History Museum Edward Feigenbaum is a professor of Computer Science and co-scientific director of the Knowledge Systems Laboratory at Stanford University. Feigenbaum served as chief scientist of the United States Air Force from 1994 to 1997. Professor Feigenbaum was chairman of the Computer Science Department and director of the Computer Center at Stanford University. Until 1992, Feigenbaum was co-principal investigator of the national computer facility for applications of artificial intelligence to medicine and biology known as the SUMEX-AIM facility, established by the National Institute of Health (NIH) at Stanford University. He is past president of the American Association for Artificial In...
published: 13 Sep 2016 -
Lecture 23 - Nils Nilsson on Art and Writing
These are video tapes of a class that Professor Donald Knuth once gave, entitled "Mathematical Writing." For convenience, here is a playlist of all 30 lectures, in order: https://www.youtube.com/playlist?list=PLOdeqCXq1tXihn5KmyB2YTOqgxaUkcNYG Lecture Notes (Some handouts are missing, but has better quality): http://jmlr.csail.mit.edu/reviewing-papers/knuth_mathematical_writing.pdf Lecture Notes (All the handouts are present, but the quality is poor): https://www-cs-faculty.stanford.edu/~knuth/papers/cs1193.pdf NOTE: I do not own these videos. Stanford holds all the copyrights.
published: 06 Aug 2020 -
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 2
Interviewed by Nils Nilsson, on 2007-06-27 in Mountain View, California, X3896.2007 © Computer History Museum Edward Feigenbaum is a professor of Computer Science and co-scientific director of the Knowledge Systems Laboratory at Stanford University. Feigenbaum served as chief scientist of the United States Air Force from 1994 to 1997. Professor Feigenbaum was chairman of the Computer Science Department and director of the Computer Center at Stanford University. Until 1992, Feigenbaum was co-principal investigator of the national computer facility for applications of artificial intelligence to medicine and biology known as the SUMEX-AIM facility, established by the National Institute of Health (NIH) at Stanford University. He is past president of the American Association for Artificial In...
published: 13 Sep 2016 -
Creating World-Class Computer Science at Stanford: 60 Years of Innovation
March 15, 2017 Presenters: Edward A. Feigenbaum, Donald E. Knuth, Nils J. Nilsson, Mehran Sahami Moderator: Alex Aiken The seeds of Stanford’s currently most popular undergraduate major, computer science, grew from the university’s administrative needs, and those of science and engineering research. Provost Fred Terman’s prescient vision of an emerging discipline—the science and engineering of computation–led to the 1957 hiring of George Forsythe to fill a Math Department position specifically created for computer science (CS). In 1961, Forsythe launched a graduate CS program—a division of the Math Department—and recruited key faculty. Four years later, it was spun off as a separate department. CS expanded to include an undergraduate major after it moved, in 1985, to the School of Enginee...
published: 10 Aug 2021 -
The Past and Future of Robotics and Machine Intelligence Based on 250 Years of Research Experience
Ruzena Bajcsy and Colleagues: Rod Brooks, Ken Goldberg, Jitendra Malik, Shankar Sastry, and Claire Tomlin Abstract: Are robots on the verge of becoming human-like and taking over most jobs? When will self-driving cars be cost-effective? What challenges in robotics will be solved by Large Language Models and generative AI? Robots have been a topic of fascination since the word "robot" was coined in Czechoslovakia in 1920. Since the 1940s, the fields of robotics, control theory, computer vision, machine intelligence, machine learning, and AI have evolved with related but different terminologies, notations, and conferences. Although renowned roboticist Ruzena Bajcsy recently retired from Berkeley, she will return to discuss her insights on how robotics research has evolved over the pas...
published: 08 Sep 2023 -
The Hard Problem Ep 120: Conversation and Consciousness
Source: https://www.podbean.com/eau/pb-7sm7z-12526f1 Key References: Nico Grant and Cade Metz 'Google Sidelines Engineer Who Claims its AI is Sentient' New York Times 2022 Nils Nilsson 'The Quest for Artificial Intelligence' 2010 Mary Papenfuss 'Google Engineer on Leave after He Claims AI Program has gone Sentient' Huffington Post 2022 John Searle 'The Mystery of Consciousness' 1997
published: 17 Jun 2022 -
Machines Who Imagine: Past, Present, and Future of Artificial Intelligence From 1950 to 2050
At the dawn of the 20th century, scientists discovered a hidden universe lying inside the atom, giving rise to the revolutionary theory of quantum mechanics. Quantum theory played a profound role in the previous century, giving rise to atomic weapons, medical devices such as the PET scanner, as well as led to the invention of transistors, computers, and smartphones. The 21st century is likely to similarly shaped by scientific advances in the field of artificial intelligence, which designs machines that “think”. Stunning advances in AI and machine learning have given rise to machines that beat the best humans at open-ended quiz competitions, like Jeopardy, or challenging games, like chess and Go. We are beginning to see autonomous cars driven by AI roaming our streets, and AI software now d...
published: 23 Oct 2019 -
The All Stars of AI.
Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP.
published: 27 Nov 2016 -
World's First robot died at 86.. Nils Nilson died at Medford.
World's First #Robot died at 86.. Nils Nilson died at Medford,, Nils Nilsson at #StanfordUniversity in 1987. Twenty years earlier, as a researcher, he helped create the first general purpose robot. #Computer #Scientist he was..
published: 27 Apr 2019 -
Computer Chronicles: Artificial Intelligence and Expert Systems (1984) Part 2
Thanks for watching, please make sure to subscribe to my channel by clicking on the link below or the Subscribe button for more computer videos. http://www.youtube.com/subscription_center?add_user=computercloset http://archive.org/details/computerchronicles http://www.youtube.com/user/computercloset An early look at artificial Intelligence. Guests includes Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP. Originally broadcast in 1984. Q. When did AI research start? A. After WWII, a number of people independently started to work on intelligent machines. The Engli...
published: 17 Aug 2012
developed with YouTube
2:41:23
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 1
- Order: Reorder
- Duration: 2:41:23
- Uploaded Date: 13 Sep 2016
- views: 1400
Interviewed by Nils Nilsson, on 2007-06-20 in Mountain View, California, X3896.2007
© Computer History Museum
Edward Feigenbaum is a professor of Computer Scie...
Interviewed by Nils Nilsson, on 2007-06-20 in Mountain View, California, X3896.2007
© Computer History Museum
Edward Feigenbaum is a professor of Computer Science and co-scientific director of the Knowledge Systems Laboratory at Stanford University. Feigenbaum served as chief scientist of the United States Air Force from 1994 to 1997.
Professor Feigenbaum was chairman of the Computer Science Department and director of the Computer Center at Stanford University. Until 1992, Feigenbaum was co-principal investigator of the national computer facility for applications of artificial intelligence to medicine and biology known as the SUMEX-AIM facility, established by the National Institute of Health (NIH) at Stanford University. He is past president of the American Association for Artificial Intelligence. He has served on the National Science Foundation Computer Science Advisory Board, an ARPA study committee for Information Science and Technology; and on the National Research Council's Computer Science and Technology Board. He has been a member of the Board of Regents of the National Library of Medicine.
He was the co-editor of the encyclopedia, The Handbook of Artificial Intelligence, and of the early book, Computers and Thought, published by McGraw-Hill. He is co-author of the McGraw-Hill book, Applications of Artificial Intelligence in Organic Chemistry: The DENDRAL Program and was the founding editor of the McGraw-Hill Computer Science Series. He is co-author with Pamela McCorduck of the book The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World, published by Addison-Wesley (1983) and by New American Library (1984). He is also co-author with Penny Nii and Pamela McCorduck of the book, The Rise of the Expert Company, on corporate successes in the use of expert systems, published by Times Books in New York and Macmillan in London (1988).
He is a co-founder of three start-up firms in applied artificial intelligence, IntelliCorp, Teknowledge and Design Power Inc. and served as a member of the Board of Directors of IntelliCorp and Design Power Inc. He also was a member of the Board of Directors of Sperry Corporation prior to its merger with Burroughs. He is a member of the Advisory Council of the Kansai Silicon Valley Venture Forum.
He was elected to the National Academy of Engineering in 1986. In the same year, he was elected to the Productivity Hall of Fame of the Republic of Singapore. He is an elected Fellow of the American Association for Artificial Intelligence, the honorary American College of Medical Informatics. He was elected to the American Academy of Arts and Sciences in 1991. He is the first recipient of the Feigenbaum Medal, an award established in his honor by the World Congress of Expert Systems. He was elected Fellow to the American Institute of Medical and Biological Engineering in January 1994. He was a recipient of the 1994 ACM Turing Award. He was named Kumagai Professor of Computer Science at Stanford University in 1995. He received the U.S. Air Force Exceptional Civilian Service Award in 1997.
* Note: Transcripts represent what was said in the interview. However, to enhance meaning or add clarification, interviewees have the opportunity to modify this text afterward. This may result in discrepancies between the transcript and the video. Please refer to the transcript for further information - http://www.computerhistory.org/collections/catalog/102702002
Visit computerhistory.org/collections/oralhistories/ for more information about the Computer History Museum's Oral History Collection.
Lot Number: X3896.2007
Catalog Number: 102658091
https://wn.com/Oral_History_Of_Edward_Feigenbaum,_Interviewed_By_Nils_Nilsson_Session_1
Interviewed by Nils Nilsson, on 2007-06-20 in Mountain View, California, X3896.2007
© Computer History Museum
Edward Feigenbaum is a professor of Computer Science and co-scientific director of the Knowledge Systems Laboratory at Stanford University. Feigenbaum served as chief scientist of the United States Air Force from 1994 to 1997.
Professor Feigenbaum was chairman of the Computer Science Department and director of the Computer Center at Stanford University. Until 1992, Feigenbaum was co-principal investigator of the national computer facility for applications of artificial intelligence to medicine and biology known as the SUMEX-AIM facility, established by the National Institute of Health (NIH) at Stanford University. He is past president of the American Association for Artificial Intelligence. He has served on the National Science Foundation Computer Science Advisory Board, an ARPA study committee for Information Science and Technology; and on the National Research Council's Computer Science and Technology Board. He has been a member of the Board of Regents of the National Library of Medicine.
He was the co-editor of the encyclopedia, The Handbook of Artificial Intelligence, and of the early book, Computers and Thought, published by McGraw-Hill. He is co-author of the McGraw-Hill book, Applications of Artificial Intelligence in Organic Chemistry: The DENDRAL Program and was the founding editor of the McGraw-Hill Computer Science Series. He is co-author with Pamela McCorduck of the book The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World, published by Addison-Wesley (1983) and by New American Library (1984). He is also co-author with Penny Nii and Pamela McCorduck of the book, The Rise of the Expert Company, on corporate successes in the use of expert systems, published by Times Books in New York and Macmillan in London (1988).
He is a co-founder of three start-up firms in applied artificial intelligence, IntelliCorp, Teknowledge and Design Power Inc. and served as a member of the Board of Directors of IntelliCorp and Design Power Inc. He also was a member of the Board of Directors of Sperry Corporation prior to its merger with Burroughs. He is a member of the Advisory Council of the Kansai Silicon Valley Venture Forum.
He was elected to the National Academy of Engineering in 1986. In the same year, he was elected to the Productivity Hall of Fame of the Republic of Singapore. He is an elected Fellow of the American Association for Artificial Intelligence, the honorary American College of Medical Informatics. He was elected to the American Academy of Arts and Sciences in 1991. He is the first recipient of the Feigenbaum Medal, an award established in his honor by the World Congress of Expert Systems. He was elected Fellow to the American Institute of Medical and Biological Engineering in January 1994. He was a recipient of the 1994 ACM Turing Award. He was named Kumagai Professor of Computer Science at Stanford University in 1995. He received the U.S. Air Force Exceptional Civilian Service Award in 1997.
* Note: Transcripts represent what was said in the interview. However, to enhance meaning or add clarification, interviewees have the opportunity to modify this text afterward. This may result in discrepancies between the transcript and the video. Please refer to the transcript for further information - http://www.computerhistory.org/collections/catalog/102702002
Visit computerhistory.org/collections/oralhistories/ for more information about the Computer History Museum's Oral History Collection.
Lot Number: X3896.2007
Catalog Number: 102658091
51:31
Lecture 23 - Nils Nilsson on Art and Writing
- Order: Reorder
- Duration: 51:31
- Uploaded Date: 06 Aug 2020
- views: 453
These are video tapes of a class that Professor Donald Knuth once gave, entitled "Mathematical Writing."
For convenience, here is a playlist of all 30 lectures...
These are video tapes of a class that Professor Donald Knuth once gave, entitled "Mathematical Writing."
For convenience, here is a playlist of all 30 lectures, in order: https://www.youtube.com/playlist?list=PLOdeqCXq1tXihn5KmyB2YTOqgxaUkcNYG
Lecture Notes (Some handouts are missing, but has better quality): http://jmlr.csail.mit.edu/reviewing-papers/knuth_mathematical_writing.pdf
Lecture Notes (All the handouts are present, but the quality is poor): https://www-cs-faculty.stanford.edu/~knuth/papers/cs1193.pdf
NOTE: I do not own these videos. Stanford holds all the copyrights.
https://wn.com/Lecture_23_Nils_Nilsson_On_Art_And_Writing
These are video tapes of a class that Professor Donald Knuth once gave, entitled "Mathematical Writing."
For convenience, here is a playlist of all 30 lectures, in order: https://www.youtube.com/playlist?list=PLOdeqCXq1tXihn5KmyB2YTOqgxaUkcNYG
Lecture Notes (Some handouts are missing, but has better quality): http://jmlr.csail.mit.edu/reviewing-papers/knuth_mathematical_writing.pdf
Lecture Notes (All the handouts are present, but the quality is poor): https://www-cs-faculty.stanford.edu/~knuth/papers/cs1193.pdf
NOTE: I do not own these videos. Stanford holds all the copyrights.
- published: 06 Aug 2020
- views: 453
2:32:41
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 2
- Order: Reorder
- Duration: 2:32:41
- Uploaded Date: 13 Sep 2016
- views: 524
Interviewed by Nils Nilsson, on 2007-06-27 in Mountain View, California, X3896.2007
© Computer History Museum
Edward Feigenbaum is a professor of Computer Scie...
Interviewed by Nils Nilsson, on 2007-06-27 in Mountain View, California, X3896.2007
© Computer History Museum
Edward Feigenbaum is a professor of Computer Science and co-scientific director of the Knowledge Systems Laboratory at Stanford University. Feigenbaum served as chief scientist of the United States Air Force from 1994 to 1997.
Professor Feigenbaum was chairman of the Computer Science Department and director of the Computer Center at Stanford University. Until 1992, Feigenbaum was co-principal investigator of the national computer facility for applications of artificial intelligence to medicine and biology known as the SUMEX-AIM facility, established by the National Institute of Health (NIH) at Stanford University. He is past president of the American Association for Artificial Intelligence. He has served on the National Science Foundation Computer Science Advisory Board, an ARPA study committee for Information Science and Technology; and on the National Research Council's Computer Science and Technology Board. He has been a member of the Board of Regents of the National Library of Medicine.
He was the co-editor of the encyclopedia, The Handbook of Artificial Intelligence, and of the early book, Computers and Thought, published by McGraw-Hill. He is co-author of the McGraw-Hill book, Applications of Artificial Intelligence in Organic Chemistry: The DENDRAL Program and was the founding editor of the McGraw-Hill Computer Science Series. He is co-author with Pamela McCorduck of the book The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World, published by Addison-Wesley (1983) and by New American Library (1984). He is also co-author with Penny Nii and Pamela McCorduck of the book, The Rise of the Expert Company, on corporate successes in the use of expert systems, published by Times Books in New York and Macmillan in London (1988).
He is a co-founder of three start-up firms in applied artificial intelligence, IntelliCorp, Teknowledge and Design Power Inc. and served as a member of the Board of Directors of IntelliCorp and Design Power Inc. He also was a member of the Board of Directors of Sperry Corporation prior to its merger with Burroughs. He is a member of the Advisory Council of the Kansai Silicon Valley Venture Forum.
He was elected to the National Academy of Engineering in 1986. In the same year, he was elected to the Productivity Hall of Fame of the Republic of Singapore. He is an elected Fellow of the American Association for Artificial Intelligence, the honorary American College of Medical Informatics. He was elected to the American Academy of Arts and Sciences in 1991. He is the first recipient of the Feigenbaum Medal, an award established in his honor by the World Congress of Expert Systems. He was elected Fellow to the American Institute of Medical and Biological Engineering in January 1994. He was a recipient of the 1994 ACM Turing Award. He was named Kumagai Professor of Computer Science at Stanford University in 1995. He received the U.S. Air Force Exceptional Civilian Service Award in 1997.
* Note: Transcripts represent what was said in the interview. However, to enhance meaning or add clarification, interviewees have the opportunity to modify this text afterward. This may result in discrepancies between the transcript and the video. Please refer to the transcript for further information - http://www.computerhistory.org/collections/catalog/102702002
Visit computerhistory.org/collections/oralhistories/ for more information about the Computer History Museum's Oral History Collection.
Lot Number: X3896.2007
Catalog Number: 102658095
https://wn.com/Oral_History_Of_Edward_Feigenbaum,_Interviewed_By_Nils_Nilsson_Session_2
Interviewed by Nils Nilsson, on 2007-06-27 in Mountain View, California, X3896.2007
© Computer History Museum
Edward Feigenbaum is a professor of Computer Science and co-scientific director of the Knowledge Systems Laboratory at Stanford University. Feigenbaum served as chief scientist of the United States Air Force from 1994 to 1997.
Professor Feigenbaum was chairman of the Computer Science Department and director of the Computer Center at Stanford University. Until 1992, Feigenbaum was co-principal investigator of the national computer facility for applications of artificial intelligence to medicine and biology known as the SUMEX-AIM facility, established by the National Institute of Health (NIH) at Stanford University. He is past president of the American Association for Artificial Intelligence. He has served on the National Science Foundation Computer Science Advisory Board, an ARPA study committee for Information Science and Technology; and on the National Research Council's Computer Science and Technology Board. He has been a member of the Board of Regents of the National Library of Medicine.
He was the co-editor of the encyclopedia, The Handbook of Artificial Intelligence, and of the early book, Computers and Thought, published by McGraw-Hill. He is co-author of the McGraw-Hill book, Applications of Artificial Intelligence in Organic Chemistry: The DENDRAL Program and was the founding editor of the McGraw-Hill Computer Science Series. He is co-author with Pamela McCorduck of the book The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World, published by Addison-Wesley (1983) and by New American Library (1984). He is also co-author with Penny Nii and Pamela McCorduck of the book, The Rise of the Expert Company, on corporate successes in the use of expert systems, published by Times Books in New York and Macmillan in London (1988).
He is a co-founder of three start-up firms in applied artificial intelligence, IntelliCorp, Teknowledge and Design Power Inc. and served as a member of the Board of Directors of IntelliCorp and Design Power Inc. He also was a member of the Board of Directors of Sperry Corporation prior to its merger with Burroughs. He is a member of the Advisory Council of the Kansai Silicon Valley Venture Forum.
He was elected to the National Academy of Engineering in 1986. In the same year, he was elected to the Productivity Hall of Fame of the Republic of Singapore. He is an elected Fellow of the American Association for Artificial Intelligence, the honorary American College of Medical Informatics. He was elected to the American Academy of Arts and Sciences in 1991. He is the first recipient of the Feigenbaum Medal, an award established in his honor by the World Congress of Expert Systems. He was elected Fellow to the American Institute of Medical and Biological Engineering in January 1994. He was a recipient of the 1994 ACM Turing Award. He was named Kumagai Professor of Computer Science at Stanford University in 1995. He received the U.S. Air Force Exceptional Civilian Service Award in 1997.
* Note: Transcripts represent what was said in the interview. However, to enhance meaning or add clarification, interviewees have the opportunity to modify this text afterward. This may result in discrepancies between the transcript and the video. Please refer to the transcript for further information - http://www.computerhistory.org/collections/catalog/102702002
Visit computerhistory.org/collections/oralhistories/ for more information about the Computer History Museum's Oral History Collection.
Lot Number: X3896.2007
Catalog Number: 102658095
- published: 13 Sep 2016
- views: 524
1:29:17
Creating World-Class Computer Science at Stanford: 60 Years of Innovation
- Order: Reorder
- Duration: 1:29:17
- Uploaded Date: 10 Aug 2021
- views: 162
March 15, 2017
Presenters: Edward A. Feigenbaum, Donald E. Knuth, Nils J. Nilsson, Mehran Sahami
Moderator: Alex Aiken
The seeds of Stanford’s currently most p...
March 15, 2017
Presenters: Edward A. Feigenbaum, Donald E. Knuth, Nils J. Nilsson, Mehran Sahami
Moderator: Alex Aiken
The seeds of Stanford’s currently most popular undergraduate major, computer science, grew from the university’s administrative needs, and those of science and engineering research. Provost Fred Terman’s prescient vision of an emerging discipline—the science and engineering of computation–led to the 1957 hiring of George Forsythe to fill a Math Department position specifically created for computer science (CS). In 1961, Forsythe launched a graduate CS program—a division of the Math Department—and recruited key faculty. Four years later, it was spun off as a separate department. CS expanded to include an undergraduate major after it moved, in 1985, to the School of Engineering. A half-century after it began, the Computer Science Department still ranks at or near the top in international ratings. Our panelists have played significant roles in the Stanford CS story.
Moderator:
Alex Aiken, Alcatel-Lucent Professor and Tencent Chair of Computer Science
Panelists:
Edward A. Feigenbaum, Kumagai Professor in the School of Engineering, Emeritus; Former Chair of Computer Science
Donald E. Knuth, Fletcher Jones Professor of Computer Science, Emeritus
Nils J. Nilsson, Kumagai Professor in the School of Engineering, Emeritus; Former Chair of Computer Science
Mehran Sahami, Professor of Computer Science; Associate Chair for Education and Director of Educational Affairs, Computer Science
https://wn.com/Creating_World_Class_Computer_Science_At_Stanford_60_Years_Of_Innovation
March 15, 2017
Presenters: Edward A. Feigenbaum, Donald E. Knuth, Nils J. Nilsson, Mehran Sahami
Moderator: Alex Aiken
The seeds of Stanford’s currently most popular undergraduate major, computer science, grew from the university’s administrative needs, and those of science and engineering research. Provost Fred Terman’s prescient vision of an emerging discipline—the science and engineering of computation–led to the 1957 hiring of George Forsythe to fill a Math Department position specifically created for computer science (CS). In 1961, Forsythe launched a graduate CS program—a division of the Math Department—and recruited key faculty. Four years later, it was spun off as a separate department. CS expanded to include an undergraduate major after it moved, in 1985, to the School of Engineering. A half-century after it began, the Computer Science Department still ranks at or near the top in international ratings. Our panelists have played significant roles in the Stanford CS story.
Moderator:
Alex Aiken, Alcatel-Lucent Professor and Tencent Chair of Computer Science
Panelists:
Edward A. Feigenbaum, Kumagai Professor in the School of Engineering, Emeritus; Former Chair of Computer Science
Donald E. Knuth, Fletcher Jones Professor of Computer Science, Emeritus
Nils J. Nilsson, Kumagai Professor in the School of Engineering, Emeritus; Former Chair of Computer Science
Mehran Sahami, Professor of Computer Science; Associate Chair for Education and Director of Educational Affairs, Computer Science
- published: 10 Aug 2021
- views: 162
1:07:06
The Past and Future of Robotics and Machine Intelligence Based on 250 Years of Research Experience
- Order: Reorder
- Duration: 1:07:06
- Uploaded Date: 08 Sep 2023
- views: 1068
Ruzena Bajcsy and Colleagues:
Rod Brooks, Ken Goldberg, Jitendra Malik, Shankar Sastry, and Claire Tomlin
Abstract:
Are robots on the verge of becoming human...
Ruzena Bajcsy and Colleagues:
Rod Brooks, Ken Goldberg, Jitendra Malik, Shankar Sastry, and Claire Tomlin
Abstract:
Are robots on the verge of becoming human-like and taking over most jobs?
When will self-driving cars be cost-effective? What challenges in
robotics will be solved by Large Language Models and generative AI?
Robots have been a topic of fascination since the word "robot" was coined
in Czechoslovakia in 1920. Since the 1940s, the fields of robotics,
control theory, computer vision, machine intelligence, machine learning,
and AI have evolved with related but different terminologies, notations,
and conferences.
Although renowned roboticist Ruzena Bajcsy recently retired from Berkeley,
she will return to discuss her insights on how robotics research has
evolved over the past half-century with five senior colleagues who have
combined research experience of over 200 years.
EECS Event
Tuesday, September 5, 2023
Banatao Auditorium
12-1p
https://wn.com/The_Past_And_Future_Of_Robotics_And_Machine_Intelligence_Based_On_250_Years_Of_Research_Experience
Ruzena Bajcsy and Colleagues:
Rod Brooks, Ken Goldberg, Jitendra Malik, Shankar Sastry, and Claire Tomlin
Abstract:
Are robots on the verge of becoming human-like and taking over most jobs?
When will self-driving cars be cost-effective? What challenges in
robotics will be solved by Large Language Models and generative AI?
Robots have been a topic of fascination since the word "robot" was coined
in Czechoslovakia in 1920. Since the 1940s, the fields of robotics,
control theory, computer vision, machine intelligence, machine learning,
and AI have evolved with related but different terminologies, notations,
and conferences.
Although renowned roboticist Ruzena Bajcsy recently retired from Berkeley,
she will return to discuss her insights on how robotics research has
evolved over the past half-century with five senior colleagues who have
combined research experience of over 200 years.
EECS Event
Tuesday, September 5, 2023
Banatao Auditorium
12-1p
- published: 08 Sep 2023
- views: 1068
16:31
The Hard Problem Ep 120: Conversation and Consciousness
- Order: Reorder
- Duration: 16:31
- Uploaded Date: 17 Jun 2022
- views: 48
Source:
https://www.podbean.com/eau/pb-7sm7z-12526f1
Key References:
Nico Grant and Cade Metz 'Google Sidelines Engineer Who Claims its AI is Sentient' New Yor...
Source:
https://www.podbean.com/eau/pb-7sm7z-12526f1
Key References:
Nico Grant and Cade Metz 'Google Sidelines Engineer Who Claims its AI is Sentient' New York Times 2022
Nils Nilsson 'The Quest for Artificial Intelligence' 2010
Mary Papenfuss 'Google Engineer on Leave after He Claims AI Program has gone Sentient' Huffington Post 2022
John Searle 'The Mystery of Consciousness' 1997
https://wn.com/The_Hard_Problem_Ep_120_Conversation_And_Consciousness
Source:
https://www.podbean.com/eau/pb-7sm7z-12526f1
Key References:
Nico Grant and Cade Metz 'Google Sidelines Engineer Who Claims its AI is Sentient' New York Times 2022
Nils Nilsson 'The Quest for Artificial Intelligence' 2010
Mary Papenfuss 'Google Engineer on Leave after He Claims AI Program has gone Sentient' Huffington Post 2022
John Searle 'The Mystery of Consciousness' 1997
- published: 17 Jun 2022
- views: 48
55:51
Machines Who Imagine: Past, Present, and Future of Artificial Intelligence From 1950 to 2050
- Order: Reorder
- Duration: 55:51
- Uploaded Date: 23 Oct 2019
- views: 1093
At the dawn of the 20th century, scientists discovered a hidden universe lying inside the atom, giving rise to the revolutionary theory of quantum mechanics. Qu...
At the dawn of the 20th century, scientists discovered a hidden universe lying inside the atom, giving rise to the revolutionary theory of quantum mechanics. Quantum theory played a profound role in the previous century, giving rise to atomic weapons, medical devices such as the PET scanner, as well as led to the invention of transistors, computers, and smartphones. The 21st century is likely to similarly shaped by scientific advances in the field of artificial intelligence, which designs machines that “think”. Stunning advances in AI and machine learning have given rise to machines that beat the best humans at open-ended quiz competitions, like Jeopardy, or challenging games, like chess and Go. We are beginning to see autonomous cars driven by AI roaming our streets, and AI software now daily analyzes vast amounts of information on the web. The next decades will usher in even more significant advances in AI, where machines are capable of “imagination”, and are able to perform more creative tasks, from creating art and designing novel drugs, to inventing new scientific ideas by reading the scientific literature. Many countries, such as China and Russia, have recognized the importance of AI, and are devoting significant resources to building AI expertise. The arms race in the 21st century is likely to be significantly shaped by advances in AI.
Sridhar Mahadevan is the Director of the Data Science Laboratory at Adobe Research in San Jose, California, as well as an adjunct professor at the College of Information and Computer Science at the University of Massachusetts, Amherst. He has published over 150 scientific articles in AI and machine learning over the past three decades, and was elected Fellow of the Association for the Advancement of AI in 2014 for significant contributions to machine learning. From 2001 to 2018, he was a full professor at the University of Massachusetts, Amherst, where his research was supported by significant funding from DARPA, NSF, NASA, and other government agencies. He has lectured widely on AI in over three dozen countries. His 2018 paper on imagination machines received the Best Paper Award in the Blue Sky track at the annual AAAI conference.
https://wn.com/Machines_Who_Imagine_Past,_Present,_And_Future_Of_Artificial_Intelligence_From_1950_To_2050
At the dawn of the 20th century, scientists discovered a hidden universe lying inside the atom, giving rise to the revolutionary theory of quantum mechanics. Quantum theory played a profound role in the previous century, giving rise to atomic weapons, medical devices such as the PET scanner, as well as led to the invention of transistors, computers, and smartphones. The 21st century is likely to similarly shaped by scientific advances in the field of artificial intelligence, which designs machines that “think”. Stunning advances in AI and machine learning have given rise to machines that beat the best humans at open-ended quiz competitions, like Jeopardy, or challenging games, like chess and Go. We are beginning to see autonomous cars driven by AI roaming our streets, and AI software now daily analyzes vast amounts of information on the web. The next decades will usher in even more significant advances in AI, where machines are capable of “imagination”, and are able to perform more creative tasks, from creating art and designing novel drugs, to inventing new scientific ideas by reading the scientific literature. Many countries, such as China and Russia, have recognized the importance of AI, and are devoting significant resources to building AI expertise. The arms race in the 21st century is likely to be significantly shaped by advances in AI.
Sridhar Mahadevan is the Director of the Data Science Laboratory at Adobe Research in San Jose, California, as well as an adjunct professor at the College of Information and Computer Science at the University of Massachusetts, Amherst. He has published over 150 scientific articles in AI and machine learning over the past three decades, and was elected Fellow of the Association for the Advancement of AI in 2014 for significant contributions to machine learning. From 2001 to 2018, he was a full professor at the University of Massachusetts, Amherst, where his research was supported by significant funding from DARPA, NSF, NASA, and other government agencies. He has lectured widely on AI in over three dozen countries. His 2018 paper on imagination machines received the Best Paper Award in the Blue Sky track at the annual AAAI conference.
- published: 23 Oct 2019
- views: 1093
28:15
The All Stars of AI.
- Order: Reorder
- Duration: 28:15
- Uploaded Date: 27 Nov 2016
- views: 535
Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCar...
Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP.
https://wn.com/The_All_Stars_Of_Ai.
Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP.
- published: 27 Nov 2016
- views: 535
4:47
World's First robot died at 86.. Nils Nilson died at Medford.
- Order: Reorder
- Duration: 4:47
- Uploaded Date: 27 Apr 2019
- views: 35
World's First #Robot died at 86.. Nils Nilson died at Medford,, Nils Nilsson at #StanfordUniversity in 1987. Twenty years earlier, as a researcher, he helped cr...
World's First #Robot died at 86.. Nils Nilson died at Medford,, Nils Nilsson at #StanfordUniversity in 1987. Twenty years earlier, as a researcher, he helped create the first general purpose robot. #Computer #Scientist he was..
https://wn.com/World's_First_Robot_Died_At_86.._Nils_Nilson_Died_At_Medford.
World's First #Robot died at 86.. Nils Nilson died at Medford,, Nils Nilsson at #StanfordUniversity in 1987. Twenty years earlier, as a researcher, he helped create the first general purpose robot. #Computer #Scientist he was..
- published: 27 Apr 2019
- views: 35
14:08
Computer Chronicles: Artificial Intelligence and Expert Systems (1984) Part 2
- Order: Reorder
- Duration: 14:08
- Uploaded Date: 17 Aug 2012
- views: 2729
Thanks for watching, please make sure to subscribe to my channel by clicking on the link below or the Subscribe button for more computer videos.
http://www.yout...
Thanks for watching, please make sure to subscribe to my channel by clicking on the link below or the Subscribe button for more computer videos.
http://www.youtube.com/subscription_center?add_user=computercloset
http://archive.org/details/computerchronicles
http://www.youtube.com/user/computercloset
An early look at artificial Intelligence. Guests includes Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP. Originally broadcast in 1984.
Q. When did AI research start?
A. After WWII, a number of people independently started to work on intelligent machines. The English mathematician Alan Turing may have been the first. He gave a lecture on it in 1947. He also may have been the first to decide that AI was best researched by programming computers rather than by building machines. By the late 1950s, there were many researchers on AI, and most of them were basing their work on programming computers.
Q. Does AI aim to put the human mind into the computer?
A. Some researchers say they have that objective, but maybe they are using the phrase metaphorically. The human mind has a lot of peculiarities, and I'm not sure anyone is serious about imitating all of them. Q. Does AI aim at human-level intelligence?
A. Yes. The ultimate effort is to make computer programs that can solve problems and achieve goals in the world as well as humans. However, many people involved in particular research areas are much less ambitious.
Q. How far is AI from reaching human-level intelligence? When will it happen?
A. A few people think that human-level intelligence can be achieved by writing large numbers of programs of the kind people are now writing and assembling vast knowledge bases of facts in the languages now used for expressing knowledge.
However, most AI researchers believe that new fundamental ideas are required, and therefore it cannot be predicted when human-level intelligence will be achieved.
Q. Are computers the right kind of machine to be made intelligent?
A. Computers can be programmed to simulate any kind of machine.
Many researchers invented non-computer machines, hoping that they would be intelligent in different ways than the computer programs could be. However, they usually simulate their invented machines on a computer and come to doubt that the new machine is worth building. Because many billions of dollars that have been spent in making computers faster and faster, another kind of machine would have to be very fast to perform better than a program on a computer simulating the machine.
Q. Are computers fast enough to be intelligent?
A. Some people think much faster computers are required as well as new ideas. My own opinion is that the computers of 30 years ago were fast enough if only we knew how to program them. Of course, quite apart from the ambitions of AI researchers, computers will keep getting faster.
Hosted by Stewart Cheifet, Computer Chronicles was the world's most popular television program on personal technology during the height of the personal computer revolution. It was broadcast for twenty years from 1983 - 2002. The program was seen on more than 300 television stations in the United States and in over 100 countries worldwide, with translations into French, Spanish, Chinese, and Arabic. The series had a weekly television broadcast audience of over two million viewers.
Many of the series programs are distributed on video to corporations and educational institutions for use in computer training. Computer Chronicles program segments have also been bundled with various computer text books by major publishers.
https://wn.com/Computer_Chronicles_Artificial_Intelligence_And_Expert_Systems_(1984)_Part_2
Thanks for watching, please make sure to subscribe to my channel by clicking on the link below or the Subscribe button for more computer videos.
http://www.youtube.com/subscription_center?add_user=computercloset
http://archive.org/details/computerchronicles
http://www.youtube.com/user/computercloset
An early look at artificial Intelligence. Guests includes Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP. Originally broadcast in 1984.
Q. When did AI research start?
A. After WWII, a number of people independently started to work on intelligent machines. The English mathematician Alan Turing may have been the first. He gave a lecture on it in 1947. He also may have been the first to decide that AI was best researched by programming computers rather than by building machines. By the late 1950s, there were many researchers on AI, and most of them were basing their work on programming computers.
Q. Does AI aim to put the human mind into the computer?
A. Some researchers say they have that objective, but maybe they are using the phrase metaphorically. The human mind has a lot of peculiarities, and I'm not sure anyone is serious about imitating all of them. Q. Does AI aim at human-level intelligence?
A. Yes. The ultimate effort is to make computer programs that can solve problems and achieve goals in the world as well as humans. However, many people involved in particular research areas are much less ambitious.
Q. How far is AI from reaching human-level intelligence? When will it happen?
A. A few people think that human-level intelligence can be achieved by writing large numbers of programs of the kind people are now writing and assembling vast knowledge bases of facts in the languages now used for expressing knowledge.
However, most AI researchers believe that new fundamental ideas are required, and therefore it cannot be predicted when human-level intelligence will be achieved.
Q. Are computers the right kind of machine to be made intelligent?
A. Computers can be programmed to simulate any kind of machine.
Many researchers invented non-computer machines, hoping that they would be intelligent in different ways than the computer programs could be. However, they usually simulate their invented machines on a computer and come to doubt that the new machine is worth building. Because many billions of dollars that have been spent in making computers faster and faster, another kind of machine would have to be very fast to perform better than a program on a computer simulating the machine.
Q. Are computers fast enough to be intelligent?
A. Some people think much faster computers are required as well as new ideas. My own opinion is that the computers of 30 years ago were fast enough if only we knew how to program them. Of course, quite apart from the ambitions of AI researchers, computers will keep getting faster.
Hosted by Stewart Cheifet, Computer Chronicles was the world's most popular television program on personal technology during the height of the personal computer revolution. It was broadcast for twenty years from 1983 - 2002. The program was seen on more than 300 television stations in the United States and in over 100 countries worldwide, with translations into French, Spanish, Chinese, and Arabic. The series had a weekly television broadcast audience of over two million viewers.
Many of the series programs are distributed on video to corporations and educational institutions for use in computer training. Computer Chronicles program segments have also been bundled with various computer text books by major publishers.
- published: 17 Aug 2012
- views: 2729
2:41:23
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 1
Interviewed by Nils Nilsson, on 2007-06-20 in Mountain View, California, X3896.2007
© Comp...
published: 13 Sep 2016
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 1
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 1
- Report rights infringement
- published: 13 Sep 2016
- views: 1400
Interviewed by Nils Nilsson, on 2007-06-20 in Mountain View, California, X3896.2007
© Computer History Museum
Edward Feigenbaum is a professor of Computer Science and co-scientific director of the Knowledge Systems Laboratory at Stanford University. Feigenbaum served as chief scientist of the United States Air Force from 1994 to 1997.
Professor Feigenbaum was chairman of the Computer Science Department and director of the Computer Center at Stanford University. Until 1992, Feigenbaum was co-principal investigator of the national computer facility for applications of artificial intelligence to medicine and biology known as the SUMEX-AIM facility, established by the National Institute of Health (NIH) at Stanford University. He is past president of the American Association for Artificial Intelligence. He has served on the National Science Foundation Computer Science Advisory Board, an ARPA study committee for Information Science and Technology; and on the National Research Council's Computer Science and Technology Board. He has been a member of the Board of Regents of the National Library of Medicine.
He was the co-editor of the encyclopedia, The Handbook of Artificial Intelligence, and of the early book, Computers and Thought, published by McGraw-Hill. He is co-author of the McGraw-Hill book, Applications of Artificial Intelligence in Organic Chemistry: The DENDRAL Program and was the founding editor of the McGraw-Hill Computer Science Series. He is co-author with Pamela McCorduck of the book The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World, published by Addison-Wesley (1983) and by New American Library (1984). He is also co-author with Penny Nii and Pamela McCorduck of the book, The Rise of the Expert Company, on corporate successes in the use of expert systems, published by Times Books in New York and Macmillan in London (1988).
He is a co-founder of three start-up firms in applied artificial intelligence, IntelliCorp, Teknowledge and Design Power Inc. and served as a member of the Board of Directors of IntelliCorp and Design Power Inc. He also was a member of the Board of Directors of Sperry Corporation prior to its merger with Burroughs. He is a member of the Advisory Council of the Kansai Silicon Valley Venture Forum.
He was elected to the National Academy of Engineering in 1986. In the same year, he was elected to the Productivity Hall of Fame of the Republic of Singapore. He is an elected Fellow of the American Association for Artificial Intelligence, the honorary American College of Medical Informatics. He was elected to the American Academy of Arts and Sciences in 1991. He is the first recipient of the Feigenbaum Medal, an award established in his honor by the World Congress of Expert Systems. He was elected Fellow to the American Institute of Medical and Biological Engineering in January 1994. He was a recipient of the 1994 ACM Turing Award. He was named Kumagai Professor of Computer Science at Stanford University in 1995. He received the U.S. Air Force Exceptional Civilian Service Award in 1997.
* Note: Transcripts represent what was said in the interview. However, to enhance meaning or add clarification, interviewees have the opportunity to modify this text afterward. This may result in discrepancies between the transcript and the video. Please refer to the transcript for further information - http://www.computerhistory.org/collections/catalog/102702002
Visit computerhistory.org/collections/oralhistories/ for more information about the Computer History Museum's Oral History Collection.
Lot Number: X3896.2007
Catalog Number: 102658091
51:31
Lecture 23 - Nils Nilsson on Art and Writing
These are video tapes of a class that Professor Donald Knuth once gave, entitled "Mathemat...
published: 06 Aug 2020
Lecture 23 - Nils Nilsson on Art and Writing
Lecture 23 - Nils Nilsson on Art and Writing
- Report rights infringement
- published: 06 Aug 2020
- views: 453
These are video tapes of a class that Professor Donald Knuth once gave, entitled "Mathematical Writing."
For convenience, here is a playlist of all 30 lectures, in order: https://www.youtube.com/playlist?list=PLOdeqCXq1tXihn5KmyB2YTOqgxaUkcNYG
Lecture Notes (Some handouts are missing, but has better quality): http://jmlr.csail.mit.edu/reviewing-papers/knuth_mathematical_writing.pdf
Lecture Notes (All the handouts are present, but the quality is poor): https://www-cs-faculty.stanford.edu/~knuth/papers/cs1193.pdf
NOTE: I do not own these videos. Stanford holds all the copyrights.
2:32:41
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 2
Interviewed by Nils Nilsson, on 2007-06-27 in Mountain View, California, X3896.2007
© Comp...
published: 13 Sep 2016
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 2
Oral History of Edward Feigenbaum, interviewed by Nils Nilsson: Session 2
- Report rights infringement
- published: 13 Sep 2016
- views: 524
Interviewed by Nils Nilsson, on 2007-06-27 in Mountain View, California, X3896.2007
© Computer History Museum
Edward Feigenbaum is a professor of Computer Science and co-scientific director of the Knowledge Systems Laboratory at Stanford University. Feigenbaum served as chief scientist of the United States Air Force from 1994 to 1997.
Professor Feigenbaum was chairman of the Computer Science Department and director of the Computer Center at Stanford University. Until 1992, Feigenbaum was co-principal investigator of the national computer facility for applications of artificial intelligence to medicine and biology known as the SUMEX-AIM facility, established by the National Institute of Health (NIH) at Stanford University. He is past president of the American Association for Artificial Intelligence. He has served on the National Science Foundation Computer Science Advisory Board, an ARPA study committee for Information Science and Technology; and on the National Research Council's Computer Science and Technology Board. He has been a member of the Board of Regents of the National Library of Medicine.
He was the co-editor of the encyclopedia, The Handbook of Artificial Intelligence, and of the early book, Computers and Thought, published by McGraw-Hill. He is co-author of the McGraw-Hill book, Applications of Artificial Intelligence in Organic Chemistry: The DENDRAL Program and was the founding editor of the McGraw-Hill Computer Science Series. He is co-author with Pamela McCorduck of the book The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World, published by Addison-Wesley (1983) and by New American Library (1984). He is also co-author with Penny Nii and Pamela McCorduck of the book, The Rise of the Expert Company, on corporate successes in the use of expert systems, published by Times Books in New York and Macmillan in London (1988).
He is a co-founder of three start-up firms in applied artificial intelligence, IntelliCorp, Teknowledge and Design Power Inc. and served as a member of the Board of Directors of IntelliCorp and Design Power Inc. He also was a member of the Board of Directors of Sperry Corporation prior to its merger with Burroughs. He is a member of the Advisory Council of the Kansai Silicon Valley Venture Forum.
He was elected to the National Academy of Engineering in 1986. In the same year, he was elected to the Productivity Hall of Fame of the Republic of Singapore. He is an elected Fellow of the American Association for Artificial Intelligence, the honorary American College of Medical Informatics. He was elected to the American Academy of Arts and Sciences in 1991. He is the first recipient of the Feigenbaum Medal, an award established in his honor by the World Congress of Expert Systems. He was elected Fellow to the American Institute of Medical and Biological Engineering in January 1994. He was a recipient of the 1994 ACM Turing Award. He was named Kumagai Professor of Computer Science at Stanford University in 1995. He received the U.S. Air Force Exceptional Civilian Service Award in 1997.
* Note: Transcripts represent what was said in the interview. However, to enhance meaning or add clarification, interviewees have the opportunity to modify this text afterward. This may result in discrepancies between the transcript and the video. Please refer to the transcript for further information - http://www.computerhistory.org/collections/catalog/102702002
Visit computerhistory.org/collections/oralhistories/ for more information about the Computer History Museum's Oral History Collection.
Lot Number: X3896.2007
Catalog Number: 102658095
1:29:17
Creating World-Class Computer Science at Stanford: 60 Years of Innovation
March 15, 2017
Presenters: Edward A. Feigenbaum, Donald E. Knuth, Nils J. Nilsson, Mehran ...
published: 10 Aug 2021
Creating World-Class Computer Science at Stanford: 60 Years of Innovation
Creating World-Class Computer Science at Stanford: 60 Years of Innovation
- Report rights infringement
- published: 10 Aug 2021
- views: 162
March 15, 2017
Presenters: Edward A. Feigenbaum, Donald E. Knuth, Nils J. Nilsson, Mehran Sahami
Moderator: Alex Aiken
The seeds of Stanford’s currently most popular undergraduate major, computer science, grew from the university’s administrative needs, and those of science and engineering research. Provost Fred Terman’s prescient vision of an emerging discipline—the science and engineering of computation–led to the 1957 hiring of George Forsythe to fill a Math Department position specifically created for computer science (CS). In 1961, Forsythe launched a graduate CS program—a division of the Math Department—and recruited key faculty. Four years later, it was spun off as a separate department. CS expanded to include an undergraduate major after it moved, in 1985, to the School of Engineering. A half-century after it began, the Computer Science Department still ranks at or near the top in international ratings. Our panelists have played significant roles in the Stanford CS story.
Moderator:
Alex Aiken, Alcatel-Lucent Professor and Tencent Chair of Computer Science
Panelists:
Edward A. Feigenbaum, Kumagai Professor in the School of Engineering, Emeritus; Former Chair of Computer Science
Donald E. Knuth, Fletcher Jones Professor of Computer Science, Emeritus
Nils J. Nilsson, Kumagai Professor in the School of Engineering, Emeritus; Former Chair of Computer Science
Mehran Sahami, Professor of Computer Science; Associate Chair for Education and Director of Educational Affairs, Computer Science
1:07:06
The Past and Future of Robotics and Machine Intelligence Based on 250 Years of Research Experience
Ruzena Bajcsy and Colleagues:
Rod Brooks, Ken Goldberg, Jitendra Malik, Shankar Sastry, a...
published: 08 Sep 2023
The Past and Future of Robotics and Machine Intelligence Based on 250 Years of Research Experience
The Past and Future of Robotics and Machine Intelligence Based on 250 Years of Research Experience
- Report rights infringement
- published: 08 Sep 2023
- views: 1068
Ruzena Bajcsy and Colleagues:
Rod Brooks, Ken Goldberg, Jitendra Malik, Shankar Sastry, and Claire Tomlin
Abstract:
Are robots on the verge of becoming human-like and taking over most jobs?
When will self-driving cars be cost-effective? What challenges in
robotics will be solved by Large Language Models and generative AI?
Robots have been a topic of fascination since the word "robot" was coined
in Czechoslovakia in 1920. Since the 1940s, the fields of robotics,
control theory, computer vision, machine intelligence, machine learning,
and AI have evolved with related but different terminologies, notations,
and conferences.
Although renowned roboticist Ruzena Bajcsy recently retired from Berkeley,
she will return to discuss her insights on how robotics research has
evolved over the past half-century with five senior colleagues who have
combined research experience of over 200 years.
EECS Event
Tuesday, September 5, 2023
Banatao Auditorium
12-1p
16:31
The Hard Problem Ep 120: Conversation and Consciousness
Source:
https://www.podbean.com/eau/pb-7sm7z-12526f1
Key References:
Nico Grant and Cade ...
published: 17 Jun 2022
The Hard Problem Ep 120: Conversation and Consciousness
The Hard Problem Ep 120: Conversation and Consciousness
- Report rights infringement
- published: 17 Jun 2022
- views: 48
Source:
https://www.podbean.com/eau/pb-7sm7z-12526f1
Key References:
Nico Grant and Cade Metz 'Google Sidelines Engineer Who Claims its AI is Sentient' New York Times 2022
Nils Nilsson 'The Quest for Artificial Intelligence' 2010
Mary Papenfuss 'Google Engineer on Leave after He Claims AI Program has gone Sentient' Huffington Post 2022
John Searle 'The Mystery of Consciousness' 1997
55:51
Machines Who Imagine: Past, Present, and Future of Artificial Intelligence From 1950 to 2050
At the dawn of the 20th century, scientists discovered a hidden universe lying inside the ...
published: 23 Oct 2019
Machines Who Imagine: Past, Present, and Future of Artificial Intelligence From 1950 to 2050
Machines Who Imagine: Past, Present, and Future of Artificial Intelligence From 1950 to 2050
- Report rights infringement
- published: 23 Oct 2019
- views: 1093
At the dawn of the 20th century, scientists discovered a hidden universe lying inside the atom, giving rise to the revolutionary theory of quantum mechanics. Quantum theory played a profound role in the previous century, giving rise to atomic weapons, medical devices such as the PET scanner, as well as led to the invention of transistors, computers, and smartphones. The 21st century is likely to similarly shaped by scientific advances in the field of artificial intelligence, which designs machines that “think”. Stunning advances in AI and machine learning have given rise to machines that beat the best humans at open-ended quiz competitions, like Jeopardy, or challenging games, like chess and Go. We are beginning to see autonomous cars driven by AI roaming our streets, and AI software now daily analyzes vast amounts of information on the web. The next decades will usher in even more significant advances in AI, where machines are capable of “imagination”, and are able to perform more creative tasks, from creating art and designing novel drugs, to inventing new scientific ideas by reading the scientific literature. Many countries, such as China and Russia, have recognized the importance of AI, and are devoting significant resources to building AI expertise. The arms race in the 21st century is likely to be significantly shaped by advances in AI.
Sridhar Mahadevan is the Director of the Data Science Laboratory at Adobe Research in San Jose, California, as well as an adjunct professor at the College of Information and Computer Science at the University of Massachusetts, Amherst. He has published over 150 scientific articles in AI and machine learning over the past three decades, and was elected Fellow of the Association for the Advancement of AI in 2014 for significant contributions to machine learning. From 2001 to 2018, he was a full professor at the University of Massachusetts, Amherst, where his research was supported by significant funding from DARPA, NSF, NASA, and other government agencies. He has lectured widely on AI in over three dozen countries. His 2018 paper on imagination machines received the Best Paper Award in the Blue Sky track at the annual AAAI conference.
28:15
The All Stars of AI.
Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI Internation...
published: 27 Nov 2016
The All Stars of AI.
The All Stars of AI.
- Report rights infringement
- published: 27 Nov 2016
- views: 535
Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP.
4:47
World's First robot died at 86.. Nils Nilson died at Medford.
World's First #Robot died at 86.. Nils Nilson died at Medford,, Nils Nilsson at #StanfordU...
published: 27 Apr 2019
World's First robot died at 86.. Nils Nilson died at Medford.
World's First robot died at 86.. Nils Nilson died at Medford.
- Report rights infringement
- published: 27 Apr 2019
- views: 35
World's First #Robot died at 86.. Nils Nilson died at Medford,, Nils Nilsson at #StanfordUniversity in 1987. Twenty years earlier, as a researcher, he helped create the first general purpose robot. #Computer #Scientist he was..
14:08
Computer Chronicles: Artificial Intelligence and Expert Systems (1984) Part 2
Thanks for watching, please make sure to subscribe to my channel by clicking on the link b...
published: 17 Aug 2012
Computer Chronicles: Artificial Intelligence and Expert Systems (1984) Part 2
Computer Chronicles: Artificial Intelligence and Expert Systems (1984) Part 2
- Report rights infringement
- published: 17 Aug 2012
- views: 2729
Thanks for watching, please make sure to subscribe to my channel by clicking on the link below or the Subscribe button for more computer videos.
http://www.youtube.com/subscription_center?add_user=computercloset
http://archive.org/details/computerchronicles
http://www.youtube.com/user/computercloset
An early look at artificial Intelligence. Guests includes Edward Feigenbaum of Stanford University, Nils Nilsson of the AI Center at SRI International, Tom Kehler of Intellegenetics, Herb Lechner of SRI, and John McCarthy of Stanford. Featured demonstrations include Inferential Knowledge Engineering and the programming language LISP. Originally broadcast in 1984.
Q. When did AI research start?
A. After WWII, a number of people independently started to work on intelligent machines. The English mathematician Alan Turing may have been the first. He gave a lecture on it in 1947. He also may have been the first to decide that AI was best researched by programming computers rather than by building machines. By the late 1950s, there were many researchers on AI, and most of them were basing their work on programming computers.
Q. Does AI aim to put the human mind into the computer?
A. Some researchers say they have that objective, but maybe they are using the phrase metaphorically. The human mind has a lot of peculiarities, and I'm not sure anyone is serious about imitating all of them. Q. Does AI aim at human-level intelligence?
A. Yes. The ultimate effort is to make computer programs that can solve problems and achieve goals in the world as well as humans. However, many people involved in particular research areas are much less ambitious.
Q. How far is AI from reaching human-level intelligence? When will it happen?
A. A few people think that human-level intelligence can be achieved by writing large numbers of programs of the kind people are now writing and assembling vast knowledge bases of facts in the languages now used for expressing knowledge.
However, most AI researchers believe that new fundamental ideas are required, and therefore it cannot be predicted when human-level intelligence will be achieved.
Q. Are computers the right kind of machine to be made intelligent?
A. Computers can be programmed to simulate any kind of machine.
Many researchers invented non-computer machines, hoping that they would be intelligent in different ways than the computer programs could be. However, they usually simulate their invented machines on a computer and come to doubt that the new machine is worth building. Because many billions of dollars that have been spent in making computers faster and faster, another kind of machine would have to be very fast to perform better than a program on a computer simulating the machine.
Q. Are computers fast enough to be intelligent?
A. Some people think much faster computers are required as well as new ideas. My own opinion is that the computers of 30 years ago were fast enough if only we knew how to program them. Of course, quite apart from the ambitions of AI researchers, computers will keep getting faster.
Hosted by Stewart Cheifet, Computer Chronicles was the world's most popular television program on personal technology during the height of the personal computer revolution. It was broadcast for twenty years from 1983 - 2002. The program was seen on more than 300 television stations in the United States and in over 100 countries worldwide, with translations into French, Spanish, Chinese, and Arabic. The series had a weekly television broadcast audience of over two million viewers.
Many of the series programs are distributed on video to corporations and educational institutions for use in computer training. Computer Chronicles program segments have also been bundled with various computer text books by major publishers.
Nils John Nilsson
Nils John Nilsson (born 1933) is an American computer scientist. He is one of the founding researchers in the discipline of artificial intelligence. He is the first Kumagai Professor of Engineering (Emeritus) in Computer Science at Stanford University, position that he held since the chair was established in 1990 through 1995. He is particularly famous for his contributions to search, planning, knowledge representation, and robotics.
His research has been based mainly on the premise that intelligence is based on knowledge that must be represented explicitly.
Early life and education
Nilsson received his Ph.D. from Stanford in 1958, and spent much of his career at SRI International, a private research lab spun off from Stanford.
Career
SRI International
Starting in 1966, Nilsson, along with Charles A. Rosen and Bertram Raphael, led a research team in the construction of Shakey, a robot that constructed a model of its environment from sensor data, reasoned about that environment to arrive at a plan of action, then carried that plan out by sending commands to its motors. This paradigm has been enormously influential in AI. (Textbooks such as (Charniak & McDermott 1985), (Ginsberg 1993) and the first edition of (Russell & Norvig 1992) show this influence in almost every chapter, although the entire field has not always stayed under its spell.) Although the basic idea of using logical reasoning to decide on actions is due to John McCarthy (McCarthy), Nilsson's group was the first to embody it in a complete agent, along the way inventing the A* search algorithm (Hart, Nilsson & Raphael 1968) and founding the field of automated temporal planning. In the latter pursuit, they invented the STRIPS planner (Fikes & Nilsson 1971), whose action representation is still the basis of many of today's planning algorithms. The subfield of automated temporal planning called classical planning is based on most of the assumptions built into STRIPS.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Nils_John_Nilsson
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