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LWN.net Weekly Edition for May 23, 2013
An "enum" for Python 3
An unexpected perf feature
LWN.net Weekly Edition for May 16, 2013
A look at the PyPy 2.0 release
Neural networks are widely used in things like text and speech recognition (they are not all that they were hyped up to be, but they are still useful).
Ontologies are dead - they're semantic computing thingy, duh.
Expert systems, fuzzy logic and AI are used more and more: just check those Kinect sensors or Google's self-driving cars.
I'm sure, we can find even more dismal areas than semantic computing, but it's not an easy task :)
Posted Oct 17, 2012 19:31 UTC (Wed) by boudewijn (subscriber, #14185)
Posted Oct 17, 2012 19:34 UTC (Wed) by man_ls (subscriber, #15091)
Posted Oct 17, 2012 19:41 UTC (Wed) by boudewijn (subscriber, #14185)
Posted Oct 17, 2012 19:50 UTC (Wed) by man_ls (subscriber, #15091)
Compare with the Turing test: impersonating a real human in a conversation. I don't think Wolfram Alpha qualifies, even though I have had many conversations more boring than a single search in the Alpha engine.
Posted Oct 17, 2012 20:14 UTC (Wed) by corbet (editor, #1)
Posted Oct 17, 2012 21:15 UTC (Wed) by dgm (subscriber, #49227)
Google's self driving cars are programmed with a mix of clever algorithms, classical AI algorithms and new machine learning techniques. All put together leads to some surprising results on the tests.
I had the opportunity to take Thrun and Norvig's course on AI (www.ai-class.com), and I can say that the field has advanced more in the latest 5 years alone than in the previous 30. It's well worth the effort:
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