The integration of it and BT has actually happened.

This year's Internet summit also has a very interesting detail, the opening speaker is a Wunda from Baidu, one from the Wang of Hua da. The former is about artificial intelligence, while the latter focuses on genetic engineering, which may become one of the two key sciences in the future development of human society. If we combine the two, we can live healthier in the future.

Artificial

It leaders summit is another B-bomb will, bat, including Lenovo and other big Boss appearance, and very rare to discuss the issue of Tuyere. In addition, this year's Internet summit, there is a very interesting detail, the opening speaker is a Wunda from Baidu, one from the Wang of Hua da. The former speaks of voice, image technology, user behavior research will become the driving force of the future Revolution engine. The latter focuses on the exchange of digital language and life language, the integration trend of it and BT (biotechnology biotechnology).

There is no doubt that this external disclosure of a strong signal-artificial intelligence has been referred to the same status as genetic engineering, as the future development of human society is one of the two key science.

One is the top of the depth of learning experts, known as the authority of artificial intelligence; Two of people from different fields, this time, refer to artificial intelligence, and point out that, whether it's genetic engineering or network work, the best productivity weapon at the moment and the change in the industry are based on big-data AI. It can be seen that genetic engineering and artificial intelligence are like two keys to open the future.

The world of data calls for artificial intelligence

Many years ago, Dolly the sheep was a sensation in the biology world. In fact, it is like a simple copy and paste. But BT based on genetic information, it is based on the binary 0 and 1. With the life of the password is interpreted, in the IT field of data operations, such as storage, rewriting, copying, pasting, can be achieved in the life domain. Genes are the most basic constituent units of life body. The basic program of life information in everyone is the language of life. If you connect everyone's data and form a genome network, chances are immeasurable.

Biological gene is actually the most primitive but also the largest and complex of a large data, not only recorded the individual's life information, but also recorded the whole evolution of a group. Huada gene in the attempt to use large data mining to discover some rare disease real solution, and there's a plan to search for 1 million of people's genetic data, and look for superheroes who are genetically----only, but very healthy, and they're very interesting, and they have very specific disease genes in their bodies, But very healthy. Because the body has another set of genes to protect him.

Like the program I have a bug, but there is another section of repair, very healthy. If you find out what that section is, you may be able to find drugs for rare diseases.

Wang said, "similar to the IT Internet we speak, such a large genetic network ultimately requires artificial intelligence to learn." BT and IT technology are the same, no outside of data rewriting, backup and restore. ”

The ultimate thing to do is to need artificial intelligence to learn, because such a large amount can not be solved with a single model. When it comes to the genetic sequencing of 1 million people, this ability is very close.

I've always believed that technology is the primary productivity, all business models are paper tigers, genetic engineering and network engineering, seemingly irrelevant two areas, but because of the large data and Internet connectivity, and then with it, BT Fusion, bio-data and the Internet large data blending is a very big trend.

How to merge? In fact, biological data is data, Internet data is data, the world in the end is data, light has data, need engines, artificial intelligence is the engine, with the engine to digest large data. Data from quantitative to qualitative process, a large number of data generation, the need for artificial intelligence mining analysis and extraction, biological data generation, with the development of society and the changes in human needs data will be more and more to reach a singular point.

Next outlet point to it, BT?

The integration of it and BT has actually happened, and many companies have gone a long way.

The most famous Google Venture investment purpose is to let human live longer, invest in a lot of biological, pharmaceutical and other BT companies, Google's very forward-looking investment style represents the trend of integration.

Google's 2012 investment in 23andme should be a very well-known company in the field of genetic testing, some time ago, the famous pharmaceutical companies Genentech to 23andMe injection of 60 million U.S. dollars to share the latter's Parkinson's disease in the genome data. One of its co-founder, Anne Wojcicki, is the wife of Google co-founder Sergey Brin.

Another company, Bina Marvell, who has acquired venture capital from Google and Dropbox, has again reaped 6.5 million of dollars in funding. The main business of Bina Marvell is to analyze human genome sequences by means of large data analysis, and their analysis will be the base material for downstream medical service industries such as research institutions and clinicians. For now, as many as 2000 American companies will be targeting the human genome sequence, a figure expected to reach 8,500 by 2015. However, these companies are powerless to deal with complex genetic data.

Including 23andme, these genetic analysis companies are able to collect human genome information and apply it to infer what diseases are susceptible to different customers, but much of the data is not available. Bina Marvell hopes to fill this gap by becoming a platform, a database that allows downstream institutions, such as research universities, pharmaceutical companies and medical institutions, to learn more about the relationship between genetic variants and various diseases on the basis of the data they provide.

And the average scholarship of the entrepreneurial team was left to the right, both from Stanford University and the University of California, Berkeley, where the research was directed toward large data or biological information.

Yes, Bina Marvell's goal is to integrate life sciences with computer science. And the key point of this integration is the processing of large data, as well as the development of artificial intelligence, rather than simply the development of their own, but at a certain point of intersection.

Baidu in this integration attaches great importance to artificial intelligence under a big note. Rely on artificial intelligence technology (Baidu Brain), in voice, image search has made a major breakthrough, baidueye, unmanned cars, Baidu intelligent bicycles, chopsticks search and other products are constantly available. A matrix, omni-directional AI service created by these products may refer to the entire competition threshold to a new level.

Baidu has a lot of data collected about the behavior of people, and these in-depth learning can make Baidu understand people's behavior is what, they tend to do something, they like to do something. Because Baidu's data center has a lot of data collected, so that Baidu understand not only human behavior, as well as robot behavior.

These bets and real layout represent the convergence of the trend of judgment, from their own point of view, but also the same, BT and it is a combination of the great artificial intelligence is definitely based on large data processing.

In such a large fusion of the point of time, not only BT and it, and even all walks of life in the integration, both in the Internet, but also in the large data, with the integration of the depth of data, the proliferation of data dimensions, the problem is increasingly prominent. Current solutions point to machine depth learning and a deeper level of AI. In such a low level of the field are pointing to artificial intelligence, the more information more intelligent, cross-border more and more intelligent? Can it be inferred that AI connects everything? This connection may be more low-level, more basic, more silent, also can make the experience better, more intelligent.

As for artificial intelligence, Wunda the fusion to another height.

Facing the future, if you want to see the potential impact of artificial intelligence, I have to think of the first industrial Revolution, the first industrial revolution in Britain, and finally spread throughout Europe. I think the industrial revolution at the time was also driving the development of some new technologies, initially in the United Kingdom, and finally the entire European use of these technologies, this is more than 100 years ago, nearly 200 years of things.

Whether artificial intelligence is connected everything takes time to wait, but about the Tuyere, Robin brother in the General Assembly and a very classic "tuyere" There are too many people, if your mentality is where the "tuyere" to where to go, to the "Tuyere" after nothing, will soon be crowded run. So to see what you like, what you are good at, is not really able to persist for many years to go on.

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