In-depth interpretation: How will Google enter the medical and health field?

Deep Mind is an artificial intelligence laboratory based in London, UK, whose research direction is to develop a universal self-learning algorithm.

In 2014, the company was acquired by Google at a price of 400 million pounds. Recently, it is known that the artificial intelligence Go application “Apha Dog” developed by them has defeated the world champion Li Shishi. Now, they hope to apply their own artificial intelligence technology to the field of medical technology .

Mustafa Suleyman is co-founder of Deep Mind and director of Deep Mind Health, the company's smart healthcare division. According to him, Deep Mind is working with the UK's National Health System (NHS), hoping that patients will benefit from artificial intelligence.

What does Deep Mind do?

Although acquired by Google, Deep Mind has been operating independently, and their goal is to develop software that can “stand alone”. In order to be able to develop this type of artificial intelligence software, Deep Mind trains its own artificial intelligence to accomplish certain tasks with the help of a massive data set.

Suleyman explained:

Our artificial intelligence technology actually starts with a smart agent. You can think of the smart agent as a robot arm, a self-driving car, or a control system for a recommendation engine. This smart agent has some goals. Finished, and it is also trying to continually optimize.

In order to achieve this goal, we need to write code, which is the only thing we do for this intelligent agent. We said that in some circumstances you should find something useful, and this environment should also be very common. Therefore, we believe that an intelligent control system can be either an simulator for training autonomous cars or a recommendation engine for recommending entertainment and interactive videos on YouTube.

This agent control system can perform a series of operations in an environment, and can also perform independent and anonymous experimental interactions in an environment. This environment should support fallback and let people know what changes have occurred to the state of the environment as the smart agent interacts with the environment. Of course, this environment needs to return rewards, which can help the intelligent agent control system learn from it. Therefore, our intelligent agent control system is learned through feedback or by consolidating the learning process.

How can artificial intelligence technology improve the medical industry ?

First of all, don't worry, the surgeons who do the surgery will not be replaced by robots like the CP30 that will walk and communicate. What really happens, but what Google DeepMind wants to happen, is to use artificial intelligence-supported software to help clinicians more accurately determine the early symptoms of the disease.

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