Bowls of Learning

From the Google research blog.  An overview of a technical paper that talks about one of the fundamental aspects of artificial intelligence: Machine Learning.  It makes sense to think about building a machine that can learn, then teaching it with examples over time.  In the enterprise we we exercised such systems with simple example-based-learning techniques.  Here the researchers look at how mathematical algorithms can find best solutions, even under noisy conditions.  And in the real world, all situations are noisy.  The authors suggest that more research in noisy systems should be promoted.  An example of this kind of problem is image recognition, such as in Google Goggles.