Deciphering cutting-edge technology: what is the point of the University of Singularity in China?

24th morning, Baidu's technology activities brand The big talk sixth in Beijing ancestral, three top scientists at the University of Singularity Neil Jacobstein, Brad Templeton, Raymond McCauley and Chinese students share the AI, Automatic driving technology, fund engineering and other aspects of the forefront of information. Exponential thinking: Let the enterprise Run Faster "in 2004, Blockbuster's sales were $6 billion trillion, Netflix's sales were only 500 million dollars, and in 2010, Blockbuster collapsed and Netflix's sales reached 2.2 billion dollars. In just a few years time, a giant disappeared. "At the site of Baidu Big talk, AI experts from the University of Singularity, the U.S. Department of Defense and NASA consultant Neil Jacobstein, for example, explain what is a linear growth enterprise and what is an exponential growth enterprise. For many people, linear growth is no stranger, but exponential growth is somewhat abstract. If the same 30 steps, 1 meters per step, according to the linear thinking of the 1,2,3 ... 30 Total Walk 30 steps, a total of 30 meters, 30 meters, you can see what? At a glance. However, according to the exponential thinking, the change is 1,2,4,8,16 ... The last 30 steps are more than 1 billion meters away, and you can already circle the earth dozens of times, can you imagine what will happen? This is the difference between linear and exponential. "In the eyes of the top scientist, the development of the world was linear and one-way, and now technology is driving the world to change exponentially, and this technology is" exponential technology ", including artificial intelligence, biosynthesis, nanotechnology and other High-tech. Active embrace of index technology, the enterprise with index thinking, it is very likely that the development of the index-level changes. Blockbuster is a traditional DVD rental company, and Netflix is an Internet streaming media playback platform. In Neil's view, their path to development happens to be the two typical representatives of linear growth companies and exponential growth companies. So, index technology, index thinking is not only applicable to High-tech industries? "The reality of exponential growth is not limited to the Internet, the High-tech industries of biotechnology," says Neil. Traditional manufacturing companies can also use exponential thinking to transform their management, their operations. Now, almost every industry can use AI to collect information, so as to find more opportunities, and these opportunities are often led by the exponential thinking. "AI: Let small companies catch up" AI can help improve human skills, improve the accuracy of predictions, solve problems, and deal with complex problems and improve the quality of products and services ... AI can help us do a lot of things that we couldn't do before. "As an expert in the field of artificial intelligence, Neil is raving about AI:" AI as a basis, you can pry all the technology. Nanotechnology, molecular technology, etc.I on the basis of the rapid development. "So what is the stage of development of AI?" to explain the problem, Neil puts forward a technical maturity curve from disappointment to subversion. The technology maturity curve shows that many new technologies evolve exponentially, and may start lower than linear expectations, but ultimately exceed expectations and lead to disruptive changes. In Neil's view, the AI has passed the tipping point from disappointment to subversion, and is now in the midst of a disruptive expansion that will give companies a new opportunity to develop. "In the past 50,000 years, the human brain has largely not changed much," he said. But the future will be very different from the past, and the human brain is not ready. We should not be biased against AI, AI will be the solution to the problem ... For small companies, AI has enhanced its ability to compete with big companies. "Self-driving technology: making the car life more comfortable what will be the future of the car life?" Google's auto-driving advisor Brad Templeton also came to Baidu's big talk site, explaining a lot about automatic driving. He said that every year, the global number of deaths due to car accidents as high as 1.2 million, including the United States accounted for 34,000 cases. In 2012, the number in China was 60,000. Automatic driving will effectively reduce traffic accidents, reduce traffic jams, save energy, ideally, it does not need parking spaces, can achieve self rental-especially the "self rent" this function, may give some business activities to bring opportunities, such as 30-minute delivery service. Brad said that Google's self-driving car technology is already quite mature and has passed multiple, multiple road tests. Today, Mercedes-Benz, BMW, Audi, Volkswagen, Nissan, Daimler and other car giants are also in the automatic driving technology has invested heavily. 2017, Audi's entire new generation A8 model will be expected to carry a set of automatic driving system listed. "Robots will be in charge of cars, without worrying about driving, and not worrying about finding parking spaces," he said. Brad said. Genetic engineering: Making disease predictable "one-third of the world economy is driven by biotechnology," Raymond McCauley said, "including healthcare, agriculture, energy, manufacturing ... It can be said that the whole world is developing around DNA. "The last session of Big talk, the head of the Biotechnology and Informatics project at the University of Singularities, Raymond McCauley shared cutting-edge information on DNA interpretation, writing and decoding. The research and application of DNA technology has ushered in an exponential development, Raymond said: "The cost of DNA sequencing has been dropping at a rapid pace over year." 2001, the cost is 3 billion dollars, 2014 years is about 1000 dollars, which is the cost of doing a chest through the United States. But in 2020 years, it may be the same as the cost of flushing a toilet. "This change has brought great development prospects to medical research and clinical practice, especially drug geneLearning, rare diseases, cancer, longevity. Through DNA sequencing and interpretation, people can learn early about the risk of disease they face, and change behavior, actively to prevent intervention. However, obstacles remain on this road, "DNA sequencing is simple, and parsing is quite complex, which affects its medical application," Raymond said, "but in some areas of medicine, attempts have emerged." For example, mammography and colonoscopy may be the first to end in 2020 because of DNA technology. ”