Artificial Intelligence Lectures by Neil Jacobstein 11069
Neil Jacobstein, co-chair of the AI and Robotics at singularity university. Filmed during the November 2009 Executive Program at Singularity University.
Tagged: Artificial Intelligence
The Future of Robotics and Artificial Intelligence 11068
Andrew Ng (Stanford University) is building robots to improve the lives of millions. From autonomous helicopters to robotic perception, Ng’s research in machine learning and artificial intelligence could result one day in a robot that can clean your house.
STAN: Society, Technology, Art and Nature, was Stanford University’s prototype conferecne for TEDxStanford, and showcased some of the university’s top faculty, students, alumni and performers in an intense four-hour event laced with surprising appearances and memorable experiences. STAN, modeled after TED, explored big questions about society, technology, art and nature in a format that invites feedback and engagement.
Artificial Intelligence of Robots – 21009
Artificial intelligence is difficult to quantify; the most tempting standard is to compare “machine intelligence”with human intelligence. For example, a smart machine can be given an intelligence quotient (IQ) test similar to the tests designed to measure human intelligence. In this interpretation, the level of AI increases as a robot or computer becomes more “human-like” in its reactions to the world around it. Another scheme involves the use of games requiring look-ahead strategy, such as checkers or chess.
