Big Data And Artificial Intelligence 2017

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

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)".

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Lobby summary: Last night, Microsoft (Asia) Internet Engineering announced that the second generation of intelligent chat robot "Microsoft Ice" officially on the line, users can log on to Microsoft Ice official website for "adoption" operation. 　　   　　So what is Microsoft's small ice product? 　　July 2, the Microsoft (Asia) Internet Engineering Institute announced that the second generation of intelligent chat robot "Microsoft Ice" officially on the line, users can log on to Microsoft Ice official website for "adoption" operation. So, Microsoft Small ice ...

Big data and artificial intelligence are becoming hot spots in the technology world. Everyone is talking about big data, and everyone is talking about artificial intelligence.

The panorama covers the infrastructure of the big data artificial intelligence industry, open source frameworks, data APIs, data resources, cross-infrastructure analysis, industrial applications, enterprise applications, analytical tools, etc., covering 1095 big data companies into the panorama.

July 2, the Microsoft (Asia) Internet Engineering Institute announced that the second generation of intelligent chat robot "Microsoft Ice" officially on the line, users can log on to Microsoft Ice official website for "adoption" operation. So what is Microsoft's small ice product? First, Microsoft Ice is a smart chat robot. In addition to intelligent chat, but also a reminder, weather, constellation, traffic guide, restaurant reviews and other practical functions. Secondly, Microsoft Small ice integrates Microsoft's technology accumulation in large data, natural semantic analysis, machine learning and deep neural network, and has very powerful machine learning ability.

Ai need to have large data support artificial intelligence mainly has three branches: 1. rule-based artificial Intelligence; 2. Without rules, the computer reads a large amount of data, according to the statistics, probability analysis methods, intelligent processing of artificial intelligence; 3. A kind of depth learning based on neuron network. Based on the rules of artificial intelligence, in the computer according to the prescribed grammatical structure input rules, using these rules for intelligent processing, lack of flexibility, not suitable for practical. Therefore, the actual mainstream of artificial intelligence is the latter two. And then both are read by the computer ...

Although the slogan of artificial intelligence is loud, it is difficult to establish a service driven by artificial intelligence. To what extent is it difficult? Some startups have found in practice that it is much easier and cheaper to let humans work like machines than to make machines work like people.

Ai need to have large data support artificial intelligence mainly has three branches: 1. rule-based artificial Intelligence; 2. Without rules, the computer reads a large amount of data, according to the statistics, probability analysis methods, intelligent processing of artificial intelligence; 3. A kind of depth learning based on neuron network. Based on the rules of artificial intelligence, in the computer according to the prescribed grammatical structure input rules, using these rules for intelligent processing, lack of flexibility, not suitable for practical. Therefore, the actual mainstream of artificial intelligence is the latter two. And then both are read by the computer ...

The development of technologies such as artificial intelligence (AI) and Internet of Things (IoT) has shown that the future is now. The number of connected devices has increased year by year and has generated a large amount of data.