artificial intelligence friendly or frightening

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Another heavy guest to attack | Yangqiang, director of International Artificial Intelligence Federation, 2018 friends Interactive Artificial Intelligence Congress

like driverless cars, most of the complex decision-making to artificial intelligence to complete. Professor Yangqiang expressed a high degree of interest and affirmation for the deep exploration and layout of the product-friendly interaction in the field of artificial intelligenc

Artificial Intelligence: Sixth Chapter expert System _ Artificial Intelligence

accompanying package to make the user interface more user-friendly. It includes four typical components: debugging aids, input and output facilities, interpretation facilities, and knowledge Base editor. 6.8 Summary Based on the production system, this chapter first studies the basic problems of expert system, including the definition, type, characteristic, structure and construction steps of expert system. Then the expert system based on the differ

Introduction to Artificial Intelligence book list

Author | Wang TianyiSOURCE | Geek Time column "Artificial Intelligence Basic Course"Doctor of Engineering, associate professor of AI Collection book, with the text attached to the PDF version of the link.Machine Learning ChapterIn machine learning, the first recommendation is the work of two domestic authors: "Statistical learning methods" by Dr. Hangyuan Li and "machine learning" by Professor Zhou Zhihua."

Google TensorFlow Artificial Intelligence Learning System introduction and basic use of induction _ AI

TensorFlow TensorFlow (Tengsanfo) is Google based on the development of the second generation of artificial intelligence learning system, its name comes from its own operating principles. Tensor (tensor) means n-dimensional arrays, flow (stream) means the computation based on data flow diagram, TensorFlow flows from one end of the flow graph to the other. TensorFlow is a system that transmits complex data s

A summary of doing artificial intelligence-Gobang

evolution learning method", also called genetic algorithm, is to let the program has learning function, in a large number of practice, the program will not change the evaluation function characteristics of the weight, this will overcome the one-sided subjective factors. In the heuristic search process, in fact, there are many situations are repeated, add a lot of unnecessary duplication, in order to solve this problem, you can use a hash table search algorithm, the search will be stored as data

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