NASA and Intuitive Machines give an update from Johnson Space Center in Houston to highlight the company’s first mission, known as IM-1.
The lander, called Odysseus, carried six NASA science instruments to the South Pole region of the Moon as part of the agency’s Commercial Lunar Payload Services (CLPS) initiative, and Artemis campaign. The IM-1 mission is the first U.S. soft landing on the Moon in more than 50 years, successfully landing on Feb. 22, 2024.
Participants in the news conference include:
• Joel Kearns, deputy associate administrator, Exploration, Science Mission Directorate, NASA Headquarters in Washington • Sue Lederer, CLPS project scientist, NASA Johnson • Steve Altemus, chief executive officer and co-founder, Intuitive Machines • Tim Crain, chief technology officer and co-founder, Intuitive Machines
Today’s AI systems have made impressive strides in domains ranging from image recognition to language processing. However, their lack of a robust foundation of common sense makes them susceptible to unpredictable and unhumanlike errors. In humans, “common sense” roughly refers to our broad knowledge about the world and the ability to adapt that knowledge so as to do the right thing in novel situations. In this presentation, focus will be on how common sense comes about in human intelligence, and the prospects for imbuing AI systems with such abilities.
AI Conference 2019
The Perils and Promises of Artificial Intelligence in Healthcare and Business
Speaker: Melanie Mitchell, Ph.D. Professor, Portland State University
For many years scientists have been working to simulate human perception and human actions in machines. The aim: artificial intelligence. But if artificial intelligence is already superior to people in some areas, what role will we then still play in the future? And how can we trust these systems if today’s computers are susceptible to viruses and hacking? Check out latest video to find out more about.
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James Bissonette, James Gill, Cas Eliëns, Jeremy Banks, Thomas J Miller Jr MD, Jaclyn Cauley, David F Watson, Jay Edwards, Tianyu Ge, Michael Cao, Caron Hideg, Andrea Di Biagio, Andrey Chursin, Christopher Anthony, Richard Comish, Stephen W. Carson, JoJo Chehebar, Mark Govea, John Buchan, Donal Botkin, Bob Kunz
https://www.qualcomm.com/invention/5g
Artificial intelligence is making our devices more than just utilities. From smartphones to healthcare to autonomous cars, our own Gary Brotman explains the potential of AI to make our lives easier and more exciting.
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Dr. Canton sees the coming of more Artificial Intelligence uses in our everyday lives and in
solving global problems. He encourages us to think about its direction and how to maintain control of what we create.
Dr. James Canton is a leading global futurist, social scientist, keynote presenter, author, and visionary business advisor. For over 30 years, he has been insightfully predicting the key trends that have shaped our world. He is a leading authority on future trends with an emphasis on harnessing innovation. Dr. Canton has advised three White House Administrations and global business leaders.
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
Meet some real-life robots, and find out what robots really are, and what they do for us every day!
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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. What is artificial intelligence?
A. It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.
Q. Yes, but what is intelligence?
A. Intelligence is the computational part of the ability to achieve goals in the world. Varying kinds and degrees of intelligence occur in people, many animals and some machines.
Q. Isn’t there a solid definition of intelligence that doesn’t depend on relating it to human intelligence?
A. Not yet. The problem is that we cannot yet characterize in general what kinds of computational procedures we want to call intelligent. We understand some of the mechanisms of intelligence and not others.
Q. Is intelligence a single thing so that one can ask a yes or no question “Is this machine intelligent or not?”?
A. No. Intelligence involves mechanisms, and AI research has discovered how to make computers carry out some of them and not others. If doing a task requires only mechanisms that are well understood today, computer programs can give very impressive performances on these tasks. Such programs should be considered “somewhat intelligent”.
Q. Isn’t AI about simulating human intelligence?
A. Sometimes but not always or even usually. On the one hand, we can learn something about how to make machines solve problems by observing other people or just by observing our own methods. On the other hand, most work in AI involves studying the problems the world presents to intelligence rather than studying people or animals. AI researchers are free to use methods that are not observed in people or that involve much more computing than people can do.
Q. What about IQ? Do computer programs have IQs?
A. No. IQ is based on the rates at which intelligence develops in children. It is the ratio of the age at which a child normally makes a certain score to the child’s age. The scale is extended to adults in a suitable way. IQ correlates well with various measures of success or failure in life, but making computers that can score high on IQ tests would be weakly correlated with their usefulness. For example, the ability of a child to repeat back a long sequence of digits correlates well with other intellectual abilities, perhaps because it measures how much information the child can compute with at once. However, “digit span” is trivial for even extremely limited computers.
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.
