(May 21, 2011) 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. Stanford University: www.stanford.edu STAN 2011: stan2011.stanford.edu Andrew Ng ai.stanford.edu Stanford University Channel on YouTube: www.youtube.com
Related Tags:
1:33 human beings also need controll and perception,
@1azer0 HAHAHAHAHAHAHAHAHAHA
very good
14:03 Is she a robot
Excellent talk!
Prof Andrew is one of the best teachers i have ever known…..he is an excellent personality !!
Sounds promising.
@1azer0 O I C whut yuu did thar!!
what i think is necessary her and all robotics is eliminating the more difficult task of learning every single thing like a human when speed hasnt reached its pinnacle with cpu’s, RFID chip every tiny thing around us so bots can find them car snych cross roads nonstop drive home ect.. car can copy an owners driving paths and remember them and learn the psychics the the vehicle as well as enviroment conditions and daily routs routine, not learning to drive from scratch, seriously.
@1azer0 lol I love how the dude next to him is trying so hard not to laugh XD
Intelligence will prove useful in several areas
nothing special, even small kid with enough robotics knowledge know about SIFT algorithms and how neural networks work to train using data…fail!!
Great video keep up the good work.
Thumbs up if you thought that was a big mole or wart on his face at first.
This guy is really awesome! I’ve heard his class in Machine Learning!
The experiment rewiring the ferret’s brain also showed there are limits to the plasticity. The map of the visual field was far more precise left-right direction than in the up-down direction, because the auditory cortex does a one-dimensional job of arranging frequencies.
@1azer0
editing fail
I completely agree with the idea of developing a single streamline machine learning mechanism basem on NN and just have it figure out the problems instead of trying to define rule/mathematical model based systems for all the different complex problems! Since im too lazy to make it happen its nice to know someone else is actually working in this direction ‘-.-.
REALLY VERY GOOD AND INTERESTING VIDEO
They’re paying how much for this lecture?? bahahaha