According to a recent report by market research firm CBInsights, it may also be possible to verify that artificial intelligence is in the best of times. The data shows that there were 143 investments in artificial intelligence startups in the first quarter of this year, with a transaction volume of 602 million US dollars. A record high, although most of the artificial intelligence companies that have invested in are in the early stages of development, it seems to be predicting that artificial intelligence will usher in the best era of entrepreneurship. Artificial intelligence seems to usher in the best era At the 2016 Silicon Valley High-Tech Innovation and Entrepreneurship Summit and Global Industry Internet Conference held on July 16, Li Kai, the founder of the Innovation Workshop, mentioned in the keynote speech: "Innovative workshops have invested nearly 100 million US dollars in artificial intelligence. "In the interview with the Beijing News, he said that in the field of artificial intelligence, in the past year, 25 companies have been invested, such as Face++, Horizon Robotics, and Uisee. In addition to smart phones, Qualcomm is also actively deploying in terms of artificial intelligence. According to the information provided by Qualcomm, it has invested in Clarifai in terms of artificial intelligence. From brand logo to face recognition, Clarifai's software can quickly analyze video clips and identify more than 10,000 different scenes; in China, Qualcomm invests in Yunzhisheng, Yunzhisheng focuses on IoT artificial intelligence services and provides top intelligence Speech recognition technology. Qualcomm is also considering the migration of artificial intelligence technology to smartphones. Its proposed Zeroth technology runs a neural network on a chip, for example, using a digital signal processor in a mobile phone to provide image recognition. The development of big data and the Internet of Things has prompted technology giants, from IBM to Facebook, to develop artificial intelligence technologies that harness the massive amounts of data collected by future IoT devices. IBM calls it cognitive computing, which Facebook and Google call machine learning or artificial intelligence. Technology companies such as Facebook, Google, Amazon, and Microsoft have all invested heavily in research and development. The domestic technology industry is not falling behind. Baidu has invested 7 billion to establish AI products such as the driverless division; Alibaba has the Ali customer service robot platform; open source the first Chinese AI computing platform DTPAI; Tencent has opened the visual recognition platform Tencent Uto, established the Tencent Intelligent Computing and Search Lab. Recently, Baidu’s chief scientist Wu Enda said in a speech on artificial intelligence that “artificial intelligence is developing very fast and will change society and life in the fields of medical care, consumer finance, anti-cheating, education and logistics optimization.†Artificial intelligence has become the focus of the next wave of technological breakthroughs. Artificial intelligence and robot relationship At present, the key application areas of artificial intelligence include speech recognition, face recognition, drones, robots, unmanned driving, etc., and the subversive nature brought by artificial intelligence technology is bound to exceed everyone's imagination, even global labor in 2020 The smart market will be close to $20 billion. There are many forms of artificial intelligence, such as your Roomba sweeping robot, Siri in the iPhone, and self-driving cars, all equipped with different degrees of artificial intelligence technology. If artificial intelligence is likened to the human brain, robots are just one of the many "body" of artificial intelligence. Voice recognition, visual perception, processing decisions, or the now popular natural language interactions can all be counted as ANI weak artificial intelligence. So don't think of robots when it comes to artificial intelligence. In the same way, not all robots have achieved strong artificial intelligence. Even the most invented robotic dog SpotMini from Boston Power, you can only say that it is a mobile computer with limbs and sensors. Although they have made great progress in dynamic balancing algorithms and their ability to perceive the environment. But it does not really achieve self-learning ability, and ultimately it is only a high-level tool to be programmed. The next step of the robot 1. Popularization is challenged, allowing robots to better complete practical tasks Wu Enda also emphasized that he is very optimistic about the application of artificial intelligence in the fields of companion robots, personalized personal education, music composition and robot doctors, but also reminds the audience that these are currently in the research stage. Recently, Daniela Rus, director of the MIT Computer and Artificial Intelligence Laboratory (CSAIL), who was invited to give a speech at the artificial intelligence section of the 7th Global Entrepreneurship Summit (GLOBAL ENTREPRENEURSHIP SUMMIT) hosted by Obama, also said. “The next step is to let the robot do the actual tasks better. We still have a long way to go.†Daniela Rus is a Fellow of the American Academy of Engineering. She once founded the Dartmouth College Robotics Laboratory. She is now the head of the world's largest campus laboratory, the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (MIT CSAIL). people. She pointed out that the above pictures are some very capable robots, but they still have a certain gap from the dream that our robots have completely entered life. These robots are still unable to solve one thing on their own, nor can they effectively communicate with us and other robots. From the previous conversations, they still do not have good perceptual ability. 2, rely on the robot compiler to speed up the production of robots Daniela Rus said that the time period for making robots is too long, even if experts have to draw a few years to make one. Daniela believes that by combining robots and artificial intelligence through computers, we can truly lead custom manufacturing, and we can print everything out of the printer. 3. How does the church robot learn, not only imitating training data? Li Feifei, head of the Stanford Artificial Intelligence Lab, recently spoke with Frank Chen, a partner at Silicon Valley's top investment institution, a16z: her next dream is to teach robots how to learn, not just to mimic training data. Cao Xudong, executive research and development director of deep learning and computer vision company Shangtang Technology, also mentioned that people who do deep learning actually have an ultimate pursuit, that is, to change the mode of deep learning now to supervise learning as the mainstream, let Robots behave smarter and can learn like people. As a leading researcher in the field of robotics, Daniela Rus advocates that robots are much more than just the accumulation of cumbersome metals, but the pursuit of making robots more and more dexterous and intelligent, and even capable of performing complex labor like humans. With the advent of the best era of artificial intelligence, artificial intelligence technology continues to innovate, expecting the impact and change that ubiquitous robots will bring to our lives. Langrui Energy (Shenzhen) Co.,Ltd , https://www.langruienergy.com
