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"Solve intelligence. Use it to make the world a better place." - This is one of the most idealistic ones.
Walking with Google on the road to dreamsPeople's knowledge of DeepMind comes from Alpha Go, because the pseudonym Master is famous for defeating Li Shishi, Ke Jie, Nie Weiping, Park Ting, and Coulee. At first, people mentioned that this Go game AI is said to be Google's Alpha Go, but with the media's attention and deep digging, DeepMind gradually surfaced.
In fact, before being acquired by Google, DeepMind was a well-known, very low-key company. Initially, it was invested by investors, including Tesla's Musk investment of $6.5 million. And in an industry exchange organized by Musk, Larry Page learned about DeepMind. Since then, the communication between the two sides has been increasing, and during this period, Facebook also took a fancy to this artificial intelligence company located about 2 kilometers from King's Cross Station in London, and started the battle for you with Google.
In the end, in early 2014, Google beat Facebook for £400 million (about $660 million) and bought DeepMind. The transaction amount is also included in the top ten of the global startup acquisitions in 2014.
The biggest benefit of this acquisition for Google is to seize the opportunity of talent pool. DeepMind brings together a number of deep learning experts, and the first tangible benefit of buying it is to help them gain an edge in the competition with artificial intelligence companies such as Microsoft, Facebook, and Amazon.
For DeepMind, the gains from Google are mainly in terms of funding, computer technology, and computer resources.
As for why the choice of Go, rather than other areas to start the test of artificial intelligence computing ability, the main reason is that according to the development trend of artificial intelligence, the computer needs to learn according to the human imagination, and the training of Go is not comparable to other methods. Imitating the thinking process of human beings, by constantly learning the composition of the predecessors, artificial intelligence makes the judgment of the game more powerful. In this never-ending competitive game, artificial intelligence can explore infinitely.
DeepMind's medical dreamAfter the launch of the advanced version of AlphaGo Zero, the self-matching game in three days exceeded the strength of AlphaGo and won the 100-game winning. After that, DeepMind published a curtain call for AlphaGo.
Whether Google's strength has made DeepMind, or DeepMind has made Google's artificial intelligence. In short, the AlphaGo campaign started at the beginning of the cooperation, and there are many things to look forward to in the future.
However, despite the high price acquisition, DeepMind still maintains a certain degree of independence. In 2016, Google established the X Lab, which specializes in the research and development of artificial intelligence projects, and returned the short-term unprofitable sectors such as driverless cars, hot air balloon Wi-Fi, and drone delivery. However, Deepmind is a subsidiary of Alphabet, a smart home subsidiary, and life science subsidiary, Verily.
On the Deepmind website, we showcase three areas the company is currently working on: "DeepMind Health, DeepMind for Google, DeepMind Ethics&Society."
In the medical field, just recently, the company trained an artificial intelligence algorithm by processing thousands of retinal scan images, which can detect fundus diseases more efficiently and accurately than human doctors.
It is understood that DeepMind has worked with NHS and one of the best eye hospitals in the world, London Moorfields Eye Hospital for two years to verify the effectiveness of this algorithm. After getting a positive signal, DeepMind submitted the research to the medical journal. If this result is peer-reviewed by scholars, it will be able to enter the clinical trial phase within a few years.
In this regard, DominicKing, clinical director of DeepMindHealth, said: "You will see a major breakthrough in the professional field of medical imaging with artificial intelligence technology in the next few years. In the future, we will become more sensitive in diagnosing diseases. Precision, and machine learning will play a very important role."
Earlier, the company also announced the use of AI to fight breast cancer, by applying machine learning to mammography, exploring new ways to increase the risk of breast cancer detection. Establish a machine learning model that quickly and accurately detects signs of cancer and helps doctors discover cancer in order to start treatment as soon as possible.
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