The field of artificial intelligence is now a hot spot for investment. In the past five years, more than 140 startup companies have been bought by big companies and found their way out. This number sounds a lot, but in fact half of the companies still rely on venture capital to survive or die, and there is no way out. According to TheInformation, Google acquired the most acquisitions of artificial intelligence companies over the past two years, but it also bought only nine. Then Apple bought five artificial intelligence startups and Intel and Twitter, which also bought four artificial intelligence companies. The reason why these large companies are so active in investing in artificial intelligence is that some of them are reserved for talents, and some hope that the application of artificial intelligence technology in chips and new products will bring about the next profit growth point. What is the difference in motivation for big technology companies buying artificial intelligence companies in recent years? Most of the companies Google acquired are specialized in voice and image recognition, such as API.ai, Moodstocks, Dark Blue Labs, and Vision Factory. These companies are very young, with an average age of only 3.2 years, mostly from university research projects. For example, Dark Blue Labs is a computer science major from Oxford University. Phil Blunsom, a key member of the team, is an associate professor of the profession. Their research focuses on deep learning and natural semantic recognition. Related technologies have played an important role in driving Google’s products, including self-driving cars and virtual personal assistants. At the same time, Google has taken advantage of these acquisitions to seize the opportunity of talent reserves and establish channels of talent exchange with the academic community. Google has a net profit of more than US$16 billion a year. It is not anxious to immediately realize the cutting-edge technology of artificial intelligence, and the acquired start-up companies can still concentrate on their research. This atmosphere can attract more academic talent to join. Google’s DeepMind, which was bought in 2014 for 400 million pounds, is an example. DeepMind had a team of 50 to 75 people at that time and was still operating in an office near King's Cross station in London after being acquired. Later it went on the cover of Nature magazine twice in February 2015 and January 2016, one of the earliest and most authoritative academic journals in the world. 
Today, the DeepMind research team has expanded to more than 400 people, mostly computer and neuroscientists. In addition to Google, artificial intelligence startups bought by big technology companies such as Apple, Twitter, IBM, etc. are all young, averaging 2-3 years. Intel is another active buyer, but it is different from several other big companies acquiring start-up companies that have been established for two or three years. The artificial intelligence companies they acquired are more mature, with an average time of nearly ten years. Intel acquired computer-seeking companies Itseez and Movidius to accelerate image and video recognition. Intel also defeated Nvidia Corporation to buy Nervana Systems to develop deep learning. Nervana Systems is used in self-driving cars to recognize cars and pedestrians on the road through voice and image artificial intelligence. Now that Qualcomm and ARM are holding the mobile device chip market, Nvidia is also adding graphics chips to the artificial intelligence field. For example, in the Drive PX 2-Auto Cruise automatic driving chip, it adds neural networks to analyze multiple radars and sensors in real-time on the car body. Information. In response to these competitions, Intel can use its acquisition of mature companies to convert cutting-edge technologies into commercial applications as soon as possible, not to miss the emerging artificial intelligence business.
Today, the DeepMind research team has expanded to more than 400 people, mostly computer and neuroscientists. In addition to Google, artificial intelligence startups bought by big technology companies such as Apple, Twitter, IBM, etc. are all young, averaging 2-3 years. Intel is another active buyer, but it is different from several other big companies acquiring start-up companies that have been established for two or three years. The artificial intelligence companies they acquired are more mature, with an average time of nearly ten years. Intel acquired computer-seeking companies Itseez and Movidius to accelerate image and video recognition. Intel also defeated Nvidia Corporation to buy Nervana Systems to develop deep learning. Nervana Systems is used in self-driving cars to recognize cars and pedestrians on the road through voice and image artificial intelligence. Now that Qualcomm and ARM are holding the mobile device chip market, Nvidia is also adding graphics chips to the artificial intelligence field. For example, in the Drive PX 2-Auto Cruise automatic driving chip, it adds neural networks to analyze multiple radars and sensors in real-time on the car body. Information. In response to these competitions, Intel can use its acquisition of mature companies to convert cutting-edge technologies into commercial applications as soon as possible, not to miss the emerging artificial intelligence business.
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