Artificial Intelligence And Machine Learning For Business

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Artificial intelligence, pragmatic development is the right way

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.

The past and present of artificial intelligence and machine learning

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.

Three branches of artificial intelligence: cognitive, machine learning, deep learning

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.

The era of artificial intelligence is coming, where are the new business opportunities?

When it comes to artificial intelligence, most people may jump out of these questions in their minds. Can artificial intelligence make people unemployed? Can artificial intelligence really have self-awareness and emotion?

Value and worries: Artificial intelligence has sailed into the fast lane

Mobile data nourishes artificial intelligence, and its heralded business opportunities are being greeted by Hawking's warning that artificial intelligence may end humans. After entering the mobile internet era, 24-hour uninterrupted online human beings are producing massive amounts of data with their frequent social, consumer, creative and travel behaviors. These data become the most important nourishment of "artificial intelligence", and push the concept of "artificial intelligence", which was born in the 50 's, to the "fast lane" of development. From the depth of the moving large data "nourish" can say, move ...

Artificial Intelligence Panorama and Development Trend Analysis in 2018

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.

"What to think" and "What to eat" is an artificial intelligence contest

"What to think" and "what to eat" the two factions have been in the field of artificial intelligence two classes, two lines of struggle, this struggle is sometimes a life-and-death. Set a vulgar philosophical word, the former partial idealism, the latter biased materialism. Computer field now the most popular word is "depth learning" linguist Steve Pink the theory of neural networks to challenge Turing test to open the field of artificial intelligence in the battle of two routes in the field of artificial intelligence large Neumaichel _ Abib, founded the University of Massachusetts computer department. Since Turing proposed ...

Focus: Artificial Intelligence and E-commerce

Artificial intelligence has become the biggest driving force for the development of e-commerce. This article will take you through the importance of artificial intelligence in the field of e-commerce.

Artificial Intelligence and Internet of Things

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.

Artificial Intelligence Keynote Speech

Netease Technology News July 9 news, a few days ago Zhongguancun business forum, Digital Chief Scientist Xie Yun of artificial intelligence conducted a keynote speech; speech, Xie Yun shared several stages of artificial intelligence research and said, The second key shift in the IT industry came as computing speeds grew faster, "and there was another major turning point in the path to making computers faster and faster - today's foundational technology platform In most cases rich enough, no longer become the bottleneck of the application.Yun Yun think, in 1956, a group from neurology, logic, ...

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