Artificial intelligence is a very broad concept, and there is no standard definition. According to understanding, artificial intelligence is a branch of computer science. It attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can react in a similar way to human intelligence. Research in this field includes robotics, language recognition, and graphics. Such as recognition, natural language processing and expert systems.
The history of artificial intelligence
In 1956, the concept of "artificial intelligence" was first proposed, and then from machine learning to deep learning, to the current big explosion of artificial intelligence concepts, there was a gap of about 60 years between the conception and the evolution.
2010 is a key node. In the next few years, deep learning has enabled amazing developments in technologies such as speech recognition, image recognition, and natural language processing. The wave of commercialization and globalization of artificial intelligence has swept away. Come.
Artificial intelligence development context and core events
Artificial intelligence can be regarded as one of the most diligent "learning experts". Through learning massive data resources, it can understand fresh information based on previously entered information and make judgments. From this potential point of view, artificial intelligence is a powerful assistant in human work.
Artificial Intelligence Industry Chain
As you can see from the figure, the artificial intelligence industry chain is roughly divided into an infrastructure layer, an application technology layer, and a solution integration layer.
The infrastructure layer mainly includes basic data providers, semiconductor chip providers, sensor providers and cloud service providers. In the past 5 to 10 years, artificial intelligence has been commercialized, mainly due to the decline in the price of hardware such as sensors, the popularity of cloud services, and the improvement of large-scale parallel computing capabilities such as GPUs. The level has basically formed.
The application technology layer mainly includes speech recognition, natural language processing, computer vision, and deep learning technology providers. Compared with other technologies, speech recognition is relatively mature. Giants such as Google, Amazon, Apple, Alibaba, and Baidu have already deployed, and iFLYTEK and Cocoa are also emerging. In addition, computer machine vision such as face recognition and natural language processing are also developing rapidly.
The solution integration layer, companies in the solution integration layer, mainly integrate artificial intelligence related technologies into their products and services, and then cut into specific application scenarios (finance, medical, home, security, automotive, etc.). At present, medical care, autonomous driving, security, finance, marketing and other fields are favored by industry insiders.
AI's growing giant territory
In May 2017, Google once again attracted the world's attention to artificial intelligence with its deep learning algorithm. In the game of Master, a Go program developed by Google, Chinese Go 9-dan player Ke Jie lost 0:3. This is another defeat of the human chess player after Li Shishi. Behind the victory of Master and AlphaGO is the potential tipping point of technology giants including Google in the field of deep learning and artificial intelligence.
According to statistics from McKinsey, in 2016, global technology giants including Google, Apple, Facebook and other technology giants invested heavily in the field of artificial intelligence, reaching US$20-30 billion. Of this, 90% is used for technology development and deployment, and 10% is used for acquisition. In the foreseeable future, the layout of artificial intelligence by technology giants will be more extensive and in-depth, and "algorithms" and "chips" will be key areas.