2015 Silicon Valley's hottest startups: Big data, machine learning, and artificial intelligence.

In an era of open-win and collaborative innovation, the Internet calls for not only spiritual commerce, but also energy-level entrepreneurs. The so-called energy level is not only the pattern, but also the mission, responsibility, and real-time zeroing mentality. What are the hottest high-tech start-ups in Silicon Valley? In Silicon Valley, we are very enthusiastic about entrepreneurial opportunities, I also through their own some observation and accumulation, saw a lot of recent years emerging hot startups. I'm giving you a list of the world's Wall Street web site, the global start-up company financing Scale (http://graphics.wsj.com/billion-dollar-club/). Its original title is billion startup club, I also shared last year's domestic lectures, less than a year, as of January 17, 2015, now ranked and scale has undergone a great change. At first, valuations reached 7 in 10Billlon, a year ago without a home. The second first is the Chinese household name of millet, third, the top 20, the vast majority (80% in the United States, in California, in Silicon Valley, in San Francisco!) such as Uber, Airbnb, Dropbox, Pinterest. There are a number of similar models successful, such as Flipkart is the Indian market Taobao, Uber and Airbnb are the areas of shared economy. So you can still find the next big opportunity in Mobile (Uber), large data (Palantir), consumer-level Internet, communications (Snapchat), paying (Square), O2O app. I've been interviewing and feeling about the environment in many of these companies. Is there such a large number of high valuation companies, does it mean there is a big bubble? Looking at so many high valuation companies, many people feel very crazy, this is not a big bubble, the bubble is not broken, is a lot of people's questions. I think in Silicon Valley, where it's a dream place, where investors encourage entrepreneurs to do the same, it also encourages bubbles, and many projects are valued at 2, 3 times times in a few months, like uber,snapchat on the scale of their huge financing. So this picture is about the "emerging technology hype" cycle, which classifies technologies according to their technical maturity and expectations, in the Silicon Valley business incubator Combinator course how to Start a mentions. Innovation Bud Innovation Trigger "," the peak peak of inflated expectation "," downward forecast to low point trough of disillusion "," return to ideal slope ofenlightenment "," productivity platform plateau of productivity ", the more left, the technology about trendy, the more in the conceptual phase; the more right, the technology is matureAbout into commercial applications, to play a higher productivity effect. The longitudinal axis represents the expected value, and the new technology usually comes into being, expectations are rising, accompanied by media hype to reach the top; with technical bottlenecks or other reasons, it is expected to cool down gradually, but as technology matures, expectations are rising again, accumulating users, and then reaching a healthy track of sustainable growth. Gartner publishes technology trend hype every year, Gartner's 2014 Hype Cycle for emerging Technologies Maps the groceries to Digital Business this year and last year's figure contrast shows that The concepts of Internet of things, self-driving cars, consumer-grade 3D printing, natural language questions and answers are at the top of the hype. And big data has slipped from the top, NFC and cloud computing near the bottom. What is the trend of High-tech entrepreneurship in the future? I'm going to mention a recent movie, "Imitation Game", the founder of computer logic, Alan Turing (named after the computer's highest award), who made a remarkable contribution to the victory of World War II by deciphering the German code, creating a Turing machine Save the lives of tens of millions of of people, but in that era because homosexuality was sentenced to chemical castration, suicide ended a brief 42-year-old life. One of his great contributions was in the development of artificial intelligence, and he presented the Turing Test (Turing test) to test whether a machine showed an equivalent or indistinguishable intelligence. We are now back to today, artificial intelligence has made great progress, from expert system to statistical learning, from support vector machine to neural network depth learning, each step to lead the machine intelligence to the next ladder. Dr. Wu, senior scientist at Google (the beauty of mathematics, the top of the wave author), he puts forward three trends in current technology development: first, cloud computing and mobile Internet, which is ongoing; second, machine intelligence is now beginning to occur, but many people are not aware of the impact on society; The combination of large data and machine intelligence, this is the future, will certainly happen, there are companies doing, but not too large scale.　　He thinks the future machine will control 98% of the people, and now we have to make a choice, how to become the remaining 2%? Kai-Fu Lee in the 2015 New Year's outlook also proposed in the next five years of networking brings huge entrepreneurial opportunities. Why is the future of big data and machine intelligence bound to come? In fact, before the Industrial Revolution (1820), the world's GDP per capita was unchanged in the two thousand or three thousand years preceding 1800 years, and from 1820 to 2001 180 years, The world's GDP per capita grew from $667 trillion to $6049 trillion. As a result, the industrial Revolution brought about by the income growth is really shaking. What's going on here, you can think about it. But human progress did not stop or grow steadily, in the invention of electricity, computers, the Internet,Mobile Internet, global annual GDP growth from the extremely 5到2%, information is also in sharp growth, according to calculate, the last two years of information is the sum of the previous 30 years, the last 10 years is far more than all the cumulative amount of information. In the computer age, there is a well-known Moore's law, that is, the same cost every 18 months the number of transistors will double, in turn, the same number of transistors cost halved, this rule has been good match for the last 30 years of development, and can be derived into many similar areas: storage, power, bandwidth, pixel. And here is Neumann, one of the most important mathematicians of the 20th century, one of the greatest scientific versatile in the fields of modern computers, game theory and nuclear weapons. He proposed that it would approach a singular point in the history of mankind, after which all human behavior could not continue to exist in a familiar way. This is the famous singular point theory. Now that the exponential growth is growing faster, American futurist Ray Kurzweil said that human beings could live in digital life in 2045, and he founded the University of Singularity, believing that with exponential growth in the fields of information technology, wireless networks, biology and physics, artificial intelligence would be realized in 2029, The life expectancy of people will also be greatly extended in the next 15 years.