[In-depth report] ubiquitous artificial intelligence (on)

Seeing the words "artificial intelligence," some people may immediately think of terms such as go, neural networks, and deep learning. Others will also think of research projects such as face recognition and stereoscopic vision modeling in universities. People will think of Terminators, outer space and other tall content. But maybe 98% of people will have such questions: These things have studied what practical use of me in the end, artificial intelligence will not be a bubble?

This article attempts to answer these questions and introduce the current field of practical application of artificial intelligence. It also gives readers who are interested in AI and are ready to contact AI, whether it is learning, work or entrepreneurship.

Some basic issues

Before giving specific examples, let's talk about some of the common basic issues.

1. What is the purpose and significance of artificial intelligence?

The main purpose of AI now is to make people more lazy, increase production efficiency, and save valuable time. Of course, some people think that it will lead to a lot of unemployment, social instability and the like, in fact, do not worry about those, when there will always be a new career.

Regarding further laziness for humans, there are two examples:

Agricultural era with livestock farming, working so hard => tractors industrial age, a lot of effort => Internet era of large harvesting machine, science and culture, transgenic, improve productivity and dramatically reduce the workload => AI era from irrigation to grow vegetables To cook and wash the dishes can be made automatically by the machine, as long as people are responsible for eating.

In ancient times, access to information by bamboo lettering, less efficient low data => industrial age have ink printing, go to the library to find books so inefficient => age of the Internet using a search engine, enter a keyword, find the desired from the list, a list of Many items are still tired to find => Artificial intelligence era not only does not need the keyboard and the list, directly gives you the answer, but also can help you to accomplish the task directly.

2. Will the development of artificial intelligence meet bottlenecks in the near future?

The basis of artificial intelligence is computing power and data, and the core is the algorithm.

Image Source: IDC, China Merchants Securities

Let's look at whether the foundation is solid—computational power, GPU parallel computing, future quantum computing, faster chips, lower storage and computational costs, can meet the development needs; in terms of data, the more data, the better the computer is. Find out new rules and increase intelligence levels. The total amount of data will be doubled every two years. By 2020, the digital universe will reach 40,000 EB to meet development needs. Even if the algorithm does not progress, use current technology to match new data. There can also be a huge application space - so the basis for development is no problem.

Image Source: IDC, China Merchants Securities

Let's take a look at the core, algorithm - the current AI has surpassed humans in many fields, such as image recognition, playing chess, etc., due to breakthroughs in machine learning. It can also use unsupervised self-learning to continuously improve itself. Generalized intelligence has basically been realized. ; various machine learning algorithms are constantly in different directions in-depth, for example DQN, RCN and so on; participation in research algorithms are also top technology companies such as Google, Microsoft, Facebook, Apple - I believe the elite will be able to Continue to promote AI's progress.

AI had had a "winter" of history, a large reason was the data, computing power, algorithms do not have, and now due to the rapid development of technology, with the situation was completely different, so widespread use of artificial intelligence is no longer the era Far.

On this current point in time, AI development is still at a very early stage in the AI's ability to continuously improve the technology available and some slowly applied to all sectors of the process, this process will gradually accelerate; for entrepreneurs, also now It is a good time to use and promote AI technology.

3. What is the artificial intelligence industry ecosystem?

The artificial intelligence industry ecosystem is divided into three layers: foundation, technology, and application.

Image Source: iResearch

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