BGI June Wang the next target is the great white

　　A few days ago, BGI CEO Wang June "exit" in scientific and technological circles was buzzing with the news.

　　BGI is the world's largest genome research and development institutions, is also the leader of China's biotechnology industry, currently about half the world's genetic data were produced by BGI. June Wang, from the age of 23 in Peking University graduate joined BGI, and later became the core of BGI representative research project participants, in the BGI is not a smooth business process has been sharing weal and woe. If Wang June does leave, it means something big happens.

　　The same day, BGI's official announcement, the BGI CEO Wang June led the formation of artificial intelligence as a core, new business to focus on forward-looking business development agencies. June Wang remain BGI boards, as managing partner. And that "this adjustment, aimed at promoting the BGI for forward-looking business strategy, for China and the global bio-industry development and create brilliance".

　　On August 6, NetEase science and technology June Wang, an interview, explain why.

　　"All the elements are"

　　BGI's announcement, Wang June will lead to form "based on artificial intelligence and new business to focus on forward-looking business development agency", sounds a bit far away.

　　June Wang's judgment is, however, "all the elements are." In his view, the current gene combined with artificial intelligence technology and business elements are available. He said: "just like you do a bucket without a Board is completely short to be leaking, you don't see this, you basically think the barrel would do. "

　　In terms of science and technology, June Wang, considered one of the core reasons is that development has made great progress in artificial intelligence, its bottleneck breakthrough is visible. In his analysis, artificial intelligence consists of three elements: algorithms, computing power (that is, able to handle the amount of computation), the amount of data. Wang June undergraduate stage that auxiliary Repair computer and artificial intelligence, he see in past 20 years in the, artificial intelligence of algorithm and calculation capacity on has has huge of progress, while gene detection of cost has can control and will increasingly low, "once to has this when, all big data of all aspects, including can wear data of development, including now electronic of records and many medical data of information, all of these things are let this pieces things has to has a can focused and merged, and convergence of a time points. "He said," at this point in time, in fact this thing can really do it. "

　　Turning point coming judgments of artificial intelligence, emerging consensus in the tech world.

　　United States scientist, artificial intelligence expert Kurzweil predicted in the book the singularity is near, 2045, the coming singularity, artificial intelligence totally beyond human intelligence (scientists will become super smart machines known as "technological singularity").

　　And in February this year, Baidu's "The Big Talk" on Baidu Chief Scientist Wu Enda, machinery manufacturing laboratory at Cornell University Hod Lipson (huode·lipusen) are also based on the respective work believe that turning point in artificial intelligence is coming.

　　At that time, the United States at Singularity University biotechnology and Informatics project leader Raymond McCauley (leimengde·maikaoli) introduction, Moore's law has now associated with technology and life. Independent of Stanford University visiting scholar Walter Greenleaf (woerte·gelinlifu) pointed out that all health effects of genetic significance, has now become the computing power of the computer problem.

　　June Wang referred to "elements" including business models, he thought the now Internet companies invested, then seek a long-term commercial return approach has been generally accepted, as long as the right thing can get his just reward in the end. Which genes and artificial intelligence with this thing, you can early needn't worry too much about the short term commercial return and focus on longer-term development, thus forming "the science and business of win-win." Ben Goertzel in our lifetime wisdom of artificial

　　Indeed, he thinks to himself, this risk was "manageable", he said: "my own 20 years of accumulation, if I think it is a really special in themselves, I might feel a time not to. But for me it was a natural transition, it is here, as huada each milestone of the many stages in the past, all look seems to be a lot of changes. But coming back are some very natural decision making and conversion. "

　　Setting up a "second undertaking"

　　June Wang sees this as his "second pioneering work".

　　First-time entrepreneur, began to join the BGI in 1999. Several partners in BGI out-of-pocket, participated in the human genome project, undertook the sequencing of about 1%. Get the inner circle of global gene "admission ticket", and gene sequencing, the world's largest institutions.

　　Despite the increasing number of genetic information is detected, the cost is less. But Wang June tell NetEase technology, real understanding of genetic information, is still very preliminary, are far from being truly complete explication of the mysteries of genes and is far from being able to really facilitate the development of biotechnology industry in the future on the basis of the origin. In order to do real understanding of genetic information, you need a database of a large chain of data, as well as for artificial intelligence systems to process this data, to find the law.

　　For possible future outcomes of this work, Wang June with Disney cartoons in the Super marine health robot "great white" to describe it. In the film "the white" to quickly scan, detect abnormal mood or injuries of the human body and its treatment. BGI's "great white", you can interpret the human genome and health information, thus warning of health risks, medical precision and personalized medicine.

　　June Wang tell NetEase technology, is he going to do, "quickly gather health data is its wide variety of vital signs data and information, and on the basis of the data, to build a kernel model of artificial intelligence, and butt it up, such a consolidation. "

　　At present, new institutions are still in the works. June Wang said, hoping Internet companies and specializes in data processing, artificial intelligence, a 3-year period to raise at least 100yilai to complete this plan and hope that the implementation of this plan is global, not just confined to China, hope that at the end of the year to have a clear framework to start this work.

　　Meanwhile, he has come up with a long-term investment commitment in this matter: "it won't happen overnight, of course, will probably take five years time, ten years to make a real prototype, went on to a landing strip. But I think it was worth it, I myself would, I spent 20 years in the next decade mainly focused on this matter. "

　　He explains: "in this case, the starting point actually lies behind, I think the bio-industry development of the whole industry, and the development of life sciences, the indispensability of the data, and the indispensability of this mass of data, is a very important part of the kernel and the engine. Only to do such a thing well, will it be possible on the basis of this data, forming a variety of forward-looking application, so it is a kernel, and the engine, which is very important. Just like the CPU of the computer industry. Almost all of the development of the biotechnology industry, will eventually need the engine. "

　　He said now the biotechnology industry of the world's top companies are not doing the job, many still think and see, BGI has to do, "and then the late is not good, like many industries in China, later it's okay, but would you late?"