{"id":7231,"date":"2017-03-27T07:00:42","date_gmt":"2017-03-27T15:00:42","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=7231"},"modified":"2017-02-19T19:31:54","modified_gmt":"2017-02-20T03:31:54","slug":"artificial-intelligence-the-five-tribes-of-ai","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/artificial-intelligence-the-five-tribes-of-ai\/","title":{"rendered":"Artificial Intelligence: The Five Tribes of AI"},"content":{"rendered":"

Neural Network techniques like deep learning are currently very popular. Frameworks to support neural net analysis include Theano, TensorFlow and Caffe. \u00a0Those frameworks work by analyzing large numbers of example data iteratively, identifying characteristics of the data in one layer, and then passing results from one layer to the next\u00a0one for further analysis.\u00a0\u00a0Each layer is able to resolve progressively more complex patterns from the data.<\/p>\n

Some of the types of problems that neural networks have been successfully applied to include pattern association, image processing and identification, autonomous vehicles, robot steering, processing of inaccurate or incomplete data.<\/p>\n

While there has been a lot of success with\u00a0Neural Networks,it is only one of other types of AI. Pedro Domingo<\/a> wrote a book in which he identified five different unique “tribes” <\/a>of Artificial Intelligence. The Connectionist tribe supports the idea of Neural Networks:<\/p>\n