|
People have already explained the fact that the field now goes under a number of different names, and that it is very active, so I won't rehash this. A few pointers to things where you can keep track that are different from what others suggested so far. 1. Foundations and Trends in Machine Learning -- this is a journal aimed at publishing a very small number of well-written survey papers on various trends in ML. This is easier to follow than an entire conference (much lower traffic, higher signal/noise), and should be readable for a wider audience (assuming they are math-inclined). 2. Conferences like Algorithms for Modern Massive Datasets are practically-oriented, well attended by a lot of industry, and involve a lot of AI: http://www.stanford.edu/group/mmds/. Look through the speakers and topics. This is one example, there are others. 3. A lot of important tech companies have teams that do AI and AI-type things, at least using the modern definition of AI (Google, Facebook, Twitter, LinkedIn, Netflix, Amazon, Microsoft, eBay, even Apple with its Siri acquisition; there are others). This is not to mention people using this stuff in other areas, like finance and bioinformatics. These groups sometimes talk about what they're working on, so you can check this out. |