The Limits of Artificial Intelligence and Deep Learning | WIRED


21 bookmarks. First posted by kenyob february 2018.


Sundar Pichai, the chief executive of Google, has said that AI “is more profound than … electricity or fire.” Andrew Ng, who founded Google Brain and now…
from instapaper
4 days ago by bdeskin
WIRED’s new columnist Jason Pontin on the limits of modern artificial intelligence.
february 2018 by joeo10
Sundar Pichai, the chief executive of Google, has said that AI “is more profound than … electricity or fire.” Andrew Ng, who founded Google Brain and now…
from instapaper
february 2018 by ecandino
Sundar Pichai, the chief executive of Google, has said that AI “is more profound than … electricity or fire.
Archive 
february 2018 by josephaleo
Sundar Pichai, the chief executive of Google, has said that AI “is more profound than … electricity or fire. via Pocket
IFTTT  Pocket 
february 2018 by archizoo
"According to skeptics like Marcus, deep learning is greedy, brittle, opaque, and shallow. The systems are greedy because they demand huge sets of training data. Brittle because when a neural net is given a “transfer test”—confronted with scenarios that differ from the examples used in training—it cannot contextualize the situation and frequently breaks. They are opaque because, unlike traditional programs with their formal, debuggable code, the parameters of neural networks can only be interpreted in terms of their weights within a mathematical geography. Consequently, they are black boxes, whose outputs cannot be explained, raising doubts about their reliability and biases. Finally, they are shallow because they are programmed with little innate knowledge and possess no common sense about the world or human psychology."
notes 
february 2018 by keithpeter
Sundar Pichai, the chief executive of Google, has said that AI “is more profound than … electricity or fire.” Andrew Ng, who founded Google Brain and now…
from instapaper
february 2018 by toph
Sundar Pichai, the chief executive of Google, has said that AI “is more profound than … electricity or fire. via Pocket
pocket 
february 2018 by jburkunk
To see why modern AI is good at a few things but bad at everything else, it helps to understand how deep learning works. Deep learning is math: a statistical method where computers learn to classify patterns using neural networks. Such networks possess inputs and outputs, a little like the neurons in our own brains; they are said to be “deep” when they possess multiple hidden layers that contain many nodes, with a blooming multitude of connections. Deep learning employs an algorithm called backpropagation, or backprop, that adjusts the mathematical weights between nodes, so that an input leads to the right output.
AI  deep-learning  google  statistics 
february 2018 by jchris
We've been promised a revolution in how and why nearly everything happens. But the limits of modern artificial intelligence are closer than we think. Pedro Domingos, professor of computer science and engineering at the UW, is quoted.
Domingos.Pedro  !UWitM  2018  natl  WIRED  College:Engineering  Allen.School  Artificial.Intelligence 
february 2018 by uwnews
Sundar Pichai, the chief executive of Google, has said that AI “is more profound than … electricity or fire.
Archive 
february 2018 by kenyob