[NetEase smart news May 8 news] Nvidia CEO Jensen Huang talked about artificial intelligence, neural interfaces and holodeck. In 1993, Jensen Huang, who was only 30 years old, co-founded NVIDIA and has long been a CEO of the company. At first, Nvidia was a relatively niche GPU product supplier. This is a narrow application in the field of general-purpose computing, which may have evolved into the cornerstone of the current AI market explosion. When Nvidia prepared its eighth annual GPU Technology Conference (GTC), the company had a lot of commendable things. It is reported that the 8th GTC will be held in San Jose from May 8th to 11th. This year, Nvidia's stock price hit a record high, and its partners, in addition to artificial intelligence applications, also received a number of financial partners, they all hope to use graphic processing chip-driven neural network to promote automated driving technology. The author interviewed Huang, who talked about how the company has evolved to this day and the development of the GTC in the general area, and what this means for Nvidia. Huang also shared with us the potential of graphics chips in the future of science and technology. Usually we may think that this is only the case in science fiction. Huang compared GTC's eight years ago with today's GTC and showed us how much Nvidia's business has changed. “We invented a computational model called GPU-accelerated computing. In fact, this concept was introduced more than a decade ago,†Huang noted. Although artificial intelligence has only recently made headlines in tech news, the company has long ago Before that, it has begun to study the technical basis of this aspect. So now, we have begun to distribute the corresponding advanced technologies to the rest of the world. GTC is a conference that belongs to our developers. In the first year, there were only a few hundred people and they were mainly concentrated in two areas: they focused on computer graphics and physical simulations, including finite element analysis, fluid simulation, and molecular dynamics. This is basically Newtonian physics. However, there will be many changes in the decade. Huang pointed out that some changes have taken place in the past 10 years and changed the operational landscape of Nvidia. "The first thing is that Moore's Law slows down," he said. So after Moore's Law has slowed down, GPU-accelerated computing has given us life, it has expanded computing power, and has enabled applications that urgently need more computing to move on. At the same time, the application scope of the GPU is also becoming wider and wider, far exceeding today's computer graphics applications. We have covered all areas, including computer graphics, virtual reality, augmented reality technology, and a variety of interesting and challenging physical simulation tasks. But it did not end there. Today, as the locomotive of Nvidia, artificial intelligence has evolved since then. "Artificial intelligence is just a modern software application." "Every supercomputer in the world today is equipped with some form of acceleration technology, a large part of which comes from Nvidia," Huang pointed out. Then there is quantum mechanics. They have a lot of research on quantum chemistry and quantum mechanics. About five years ago, we saw a new field called "deep learning" in computer science. Deep learning, coupled with the availability of rich data, combined with the computer's hardware processing capabilities, has become what people call the “big bang†of modern artificial intelligence. This is also a big change that will transform Nvidia from a marginal application to a core one. According to Huang, Nvidia’s graphics processing chip is now taking a more critical role. The company’s many well-known partners, including Microsoft, Facebook and others, are supporting Nvidia. Now that GPUs have really become the heart of the artificial intelligence field, there are some similar alternatives such as FPGAs that are beginning to emerge. At GTC, Nvidia has many industry-leading partners in all walks of life. This year is no exception: Microsoft, Facebook, Google, and Amazon will all be present. It is also an event for researchers. University of Toronto, Berkeley, Stanford, Massachusetts Institute of Technology, Tsinghua University, Max Planck Institute, and more researchers will also be present. In addition, Nvidia launched an accelerator project called Inception, which Huang calls an artificial intelligence platform for startups. About 2,000 startup companies participated in the project and received support from Nvidia, including various types of financing, platform access, and contact with relevant experts. Huang also pointed out that GTC is a grand event for partners in different industries. Participants also include GlaxoSmithKline, Procter & Gamble, and GE Healthcare. In some ordinary computing industry conferences, these industry leaders have not been seen. Huang pointed out that this is due to the emergence of artificial intelligence and smart phones, which not only changed the way in which computing products are presented to users, but also changed those areas that truly represent the opportunities for computing innovation. "Artificial intelligence is eroding software," Huang continued. "The way we think this way is that artificial intelligence is just a modern way of performing software functions." In the future, we will see that software will continue to learn over time, be able to perceive and reason, and follow the plan, and apply it. Continue to improve itself. These machine learning methods will define how the future software will be developed. Today, almost every startup company is developing software, and even non-startup companies are developing their own software. Similarly, every startup company in the future will have artificial intelligence. This will not be limited to cloud-based artificial intelligence and will not be limited to large, powerful data centers. Huang said that we can now apply computers to things that were previously meaningless to calculators, such as air conditioners and other relatively “stupid†things. "You have cars, drones, and microphones; in the future, almost all electronic devices will have some form of deep learning technology." He said: Artificial intelligence has reached the brink of change and will eventually have 1 trillion yuan. The equipment has artificial intelligence, such as each vending machine, each microphone, each camera, and each house has a deep learning ability. Some of them require a lot of processing performance, and some do not require much processing performance. Some of them require great flexibility because they will continue to improve and become smarter. And some of them do not need to be smarter. Considering how far he thinks artificial intelligence will have a profound impact, I asked Huang whether he would now consider Nvidia as an artificial intelligence company. After all, Nvidia’s game and visualization business is still a huge contributor to its finances, but it is clear that Huang’s focus on future business and GTC’s focus will have a major impact on the company’s development in artificial intelligence. "Today, I think that artificial intelligence is a very exciting new computing method. It is clear that within a decade, almost every computing device will be based on artificial intelligence," he said. "So today, we are a graphics computing chip company with artificial intelligence capabilities. We may become an artificial intelligence computing company someday." However, the two are closely linked in Huang's thinking. The difference between the two may be more my own thoughts, not his own. When asked which potential artificial intelligence applications were most exciting to him, Huang talked about the healthcare field and also mentioned some industry leaders in the field. But he soon turned to other more distant areas. The most powerful function of human intuition is actually the enhancement of intelligence. "Another area is a combination of reality and artificial intelligence," he said. "Whether it's a real-world holodeck or a superior performance in the field of robotics, I'm very excited." This is the beginning of humanity. And the end is also the beginning and end of the robot. With regard to cybernetics, robotics and artificial intelligence, I think we will see a lot of progress in the coming years. “Human has been researching the implantation of electronic devices into the human body. This work has been going on for a long time. This involves the integration of electronic devices with our nerve cells, our nerves, our organization, and we Research has been around for a long time.In fact, what human intuition is most powerful is actually enhancing intelligence, and this is exactly what we are doing now: it is called artificial intelligence. When we develop it to the limit, electronic equipment will enter our body. Today, the so-called mobile phone will become a kind of cell in our body. 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