What can AI do for you ?

 So while everyone is talking about the much-hyped area of Artificial Intelligence and how it will soon take over your job, we've been busy actually looking at what A.I. means for us developers -- and especially how it can contribute to better applications and the lives of our end users.

First foray into A.I. was in the early 90s when we were trying to teach machines how to recognize and tag images. From what we remember, this was a far cry from what is possible today (just look at the leaderboard of the "Dogs vs. Cats" Kaggle competition).

Between Google's TensorFlow open-source library (and DeepMind), DeepLearning's Theano and Microsoft's CNTK (and lest not forget the nice Keras library), there are a lot of tools and information about A.I., or should I say Machine Learning, available out there. So as usual it's a little hard to figure out what's hype and what's actually working.

In our next blog, we'll start a first deep dive into ML via Keras and Jupyter by following the free Fast.AI class provided by Jeremy Howard (@jeremyphoward) and Rachel Thomas (@math_rachel) -- gotta lover USF's Data Institute ! Then we'll move on to the Apple ML framework and how developers can leverage those tools in their day-to-day work.