{"id":1346,"date":"2017-01-02T17:00:42","date_gmt":"2017-01-02T14:00:42","guid":{"rendered":"http:\/\/artificialbrain.xyz\/?p=1346"},"modified":"2017-06-02T23:30:47","modified_gmt":"2017-06-02T20:30:47","slug":"the-state-of-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.newworldai.com\/the-state-of-artificial-intelligence\/","title":{"rendered":"The State of Artificial Intelligence"},"content":{"rendered":"

Professor Jennifer Neville, Associate Professor and Miller Family Chair of Computer Science and Statistics at Purdue University, talked about the history and future of artificial intelligence and about machine dialog systems called \u201cChatbots.\u201d Professor Neville focuses her research on machine learning and data mining.
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\nProfessor Neville\u2019s research focuses on data mining and machine learning techniques for relational data. In relational domains such as social network analysis, citation analysis, epidemiology, fraud detection, and web analytics, there is often limited information about any one entity in isolation, instead it is the connections among entities that are of crucial importance to pattern discovery. Relational data mining techniques move beyond the conventional analysis of entities in isolation to analyze networks of interconnected entities, exploiting the connections among entities to improve both descriptive and predictive models.<\/span><\/p>\n