Curated Resource ( ? )

The Limits of Artificial Intelligence and Deep Learning | WIRED

The Limits of Artificial Intelligence and Deep Learning | WIRED

my notes ( ? )

Deep learning’s advances are the product of pattern recognition: neural networks memorize classes of things ... But almost all the interesting problems in cognition aren’t classification problems at all...
The systems are greedy because they demand huge sets of training data. Brittle because when... confronted with scenarios that differ from the examples used in training—it cannot contextualize the situation and frequently breaks. ...
opaque because... they are black boxes, whose outputs cannot be explained, raising doubts about their reliability and biases... shallow because they are programmed with little innate knowledge and possess no common sense......
our best model for intelligence is ourselves, and humans think in many different ways.

Read the Full Post

The above notes were curated from the full post

Related reading

More Stuff I Like

More Stuff tagged ai , machine learning

See also: Digital Transformation

Cookies disclaimer saves very few cookies onto your device: we need some to monitor site traffic using Google Analytics, while another protects you from a cross-site request forgeries. Nevertheless, you can disable the usage of cookies by changing the settings of your browser. By browsing our website without changing the browser settings, you grant us permission to store that information on your device. More details in our Privacy Policy.

I agree