Machines | Machine Learning: Solving Problems Big, Small, and Prickly
videos | at work | information | view | construction
From helping farmers in Japan sort cucumbers to helping doctors in India diagnose eye disease, machine learning is changing the way people -- inside and outside of Google -- use code to solve problems and improve lives. Google engineers and researchers (in order of appearance): Maya Gupta, Jeff Dean, Jay Yagnik, Francoise Beaufays, John Giannandrea, Fernando Pereira, Dana Movshovitz-Attias, Rajat Monga, Lily Peng More on Machine Learning at Google : Blog: http://research.google.com/pubs/ArtificialIntelligenceandMachineLearning.html G+ page: https://plus.google.com/+ResearchatGoogle Twitter: https://twitter.com/googleresearch Machine Learning and Deep Neural Nets Explained: https://www.youtube.com/watch?v=bHvf7Tagt18
Comments
-
Awe inspiring!
-
I only have one request please add Google assistant for lollipop also
-
Iy
-
I'm sure Miles Dyson when he came up with Skynet thought the same thing
-
om telolet om
-
i wonder why google share such secrets that could cause them to lose market advantage !
-
The future is bright! I hope to utilize this to do something good for all of us.
-
What is being represented in that cloud of points/clustered points graphic shown @ 0:24 in the clip?
-
how I can be part of Google, I want to think big, learn and keep learning. this is amazing
-
Хай
-
"To learn from example", yes! I love it man! The digital revolution is finally taking place it seems! But hey Google, don't forget the one thing that matters most in life, which is nature! Combine the human technium with nature, and find a balance there. That's what humanity needs in order to really progress!
-
As usual wow...
-
What if an authoritative government like China use it to detect the people who don't agree with it'police.?
-
The videos "NATIVE LANGUAGES, WHEN SEEING YOU" are more entertaining, more enjoyable, and behaved to see more.
ALL THIS WITHOUT ANYTHING YOU WILL SEE "" MUCH MORE "" -
Just amazing. The era we are living in, is so much more progressive... speechless. Where next to?
-
nom noms
-
How do I enter into machine learning? . I ve just completed my engg degree in electrical engg
-
when is the time to learn the machine the Arabic language
-
Great video. But not sure of the odd angles and unrelated backgrounds.
qm