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The future development direction of artificial intelligence
From the supply side, IT giants are well aware that as long as the third party uses its own platform, it will leave data on the platform, and these data will be a big gold mine in the era of artificial intelligence. From the demand side, those application companies can use the AI cloud services provided by large companies to enhance their competitiveness. Therefore, this is a win-win cooperation for AI service providers and enterprises that use AI services.
The second trend is that new and old artificial intelligence enterprises will compete fiercely around smart portals. In the Internet age, almost every entrance will cause competition, and the winner of every entrance competition will become the next giant. For example, in the era of Web2.0, the rise of interactive socialization formed a social portal, which created Facebook and Tencent. The era of artificial intelligence is no exception. After fierce competition, the next huge super enterprise will inevitably be born.
In the era of artificial intelligence, the entrance of service is mainly the voice interaction of natural language, and natural language processing will be the main mode of human-computer interaction. Whoever can make the machine understand human language better is likely to win. Artificial intelligence will fully surround all aspects of our lives, which means that the competition of artificial intelligence portal will be more intense. The earlier you participate, the more users you get, and the greater the chance of victory.
The third trend is that artificial intelligence will occupy the living room and voice interaction will become the mainstream TV application. The concept of smart home has been called for many years. Bill Gates made a clear description in The Road to the Future published by 1995, but this description has not yet become a reality. The core reason lies in the lack of user demand.
Nowadays, with the increase of TV screen size and the explosive growth of video content, it is increasingly difficult for traditional remote controllers to meet people's needs for using TV. Intelligent search and intelligent interaction based on speech are rising rapidly, and natural language interaction will become the standard way to operate TV. Traditional TV manufacturers such as Samsung, video content providers such as Netflix and Amazon, and IT vendors such as Microsoft and Google have all launched or will soon launch their own voice interactive products with TV as the core. Smart home is changing from TV to reality.
The fourth trend is that smart toys will become one of the earliest successful application fields of AI. If you use AI to diagnose your disease or build a self-driving car, people often can't tolerate it making mistakes. But toys are different, and people have a high tolerance for mistakes in toys. Therefore, today, when artificial intelligence can't surpass human intelligence, smart toys are precisely the entry point for artificial intelligence to gain initial market recognition.
In fact, there have been many successful cases. For example, at the end of 20 16, Cozmo, a smart toy that can play games with people, was snapped up. In 20 17 years, a large number of smart toys will be listed. Although China toy manufacturing industry is strong, it has no brand advantage. If toy enterprises in China cooperate with high-tech companies, with their strong manufacturing strength and marketing strength, they can easily launch their own brands, which will bring huge business opportunities.
The fifth trend is that commercial robots will exert great potential in specific business scenarios. This kind of robot is often made for specific scenes, such as shopping guide, front desk, food delivery, etc., so the effect is obvious and it is easier to popularize in a small area.
Many powerful robot companies will develop universal robots, which can be used in many commercial fields. They can adapt to different environments, but the disadvantage is that they are relatively expensive. For example, the pepper robots of Softbank in Japan are about 200,000 each, not including the follow-up service fees and insurance premiums. Professional robots are more focused on solving problems, but because of their limited ability, they are easy to be imitated or annexed by competitors.
In 20 17 years, we will see professional robots in many business halls with certain characteristics. In the future, hot spots will change from professional robots to general robots, and general robots will rise rapidly.
The sixth trend is that assisted driving will become the first large-scale application of AI. Autopilot has always been the most popular application in the field of artificial intelligence. However, due to the fatal accident caused by Tesla's autonomous driving function, Google gave up its own production of self-driving cars and turned to cooperate with mature automakers. These facts show that there is still a long way to go to fully realize autonomous driving.
At the same time, major auto companies are making efforts in autonomous driving, and more and more cars will be equipped with certain autonomous driving ability, that is, in the case of drivers, on highways or in cities.
The seventh trend is that artificial intelligence applications will spread rapidly in various application fields, and application startups supported by big data will usher in the best opportunities. Although the competition in the field of artificial intelligence is fierce, especially the underlying technology, don't forget that the real winner will not come from the technical layer and platform layer, but from the application layer. For example, with the rise of mobile Internet, the biggest winner is not communication operators, but Facebook, which has built a social network empire.
Application For innovative enterprises, artificial intelligence is their real opportunity. Especially in the case that IT giants are opening up their sources, innovative enterprises have the opportunity to make use of these resources and become the next hegemon. For innovators, we must go to the weakest link of the enemy to find a breakthrough. The most worthwhile place to start is the place with rich data but poor application.
The eighth trend is that in terms of smart chips, GPU will be further widely used. GPU, also known as graphics processor, has always been the dominant hardware processor for AI applications. In the field of artificial intelligence such as image speech recognition and unmanned driving, GPU is rapidly expanding its market share.
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