Machine Learning Artificial Intelligence

When setting up relevant majors, colleges and universities should organize professor committees and academic committees.

I am going to enter the new recruitment season. For those who are interested in the field of technology, in the face of the current artificial intelligence boom that is sweeping the world, "data scientists" and "algorithm engineers" are definitely hot jobs.

Recently, the China Artificial Intelligence Conference hosted by the China Artificial Intelligence Society was held in Shenzhen, using this high-end cutting-edge communication platform that closely combines production, learning and research in the field of artificial intelligence, focusing on current hot topics such as key core technology development, scholars and industry professionals. Fully explored.

Some people say that 2016 is the first year of artificial intelligence, and artificial intelligence technology has sprung up in all walks of life. At the beginning of 2017, I started to translate "Artificial Intelligence (2nd Edition)".

Machine Learning (ML) studies these patterns and encodes human decision processes into algorithms. These algorithms can be applied to several instances to arrive at meaningful conclusions.

Artificial intelligence has entered everything – from autonomous cars to automatic emails to smart homes. You seem to get any merchandise (such as medical health, flight, travel, etc.) and make it smarter through the special application of artificial intelligence.

Intelligence is a very common word in modern life, such as smart phones, smart home products, intelligent robots, etc., but the meaning of intelligence is different in different occasions. What we call "Artificial Intelligence" (AI) is to let the machine think like a human being and have human intelligence.

In 1948, Allen Turing, the father of computer science, and Claude Shannon, the father of information science, independently developed the basic algorithms still used in today's chess programs.

This article attempts to give an appropriate perspective on artificial intelligence (AI) and review the work we have done and the achievements we have made. We have listed achievements in the field of artificial intelligence for half a century and discussed the recent IBM Watson-Dangerous Edge Challenge.

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall K.K in the documentary "Google and the World Brain," he said at the beginning of the Google venture, he asked Larry Page, now has a good performance search engine, why do one? ' Instead of developing a new search engine, we're going to do artificial intelligence, ' Larry page explains. Search engine is our active consciousness and the internet world the most important connection way, and in the long-term data accumulation, save ...