Wonderful review 2018 Xinzhiyuan Industry Transition AI Technology Summit was successfully concluded. Click on the link to review the grand event: Aiqiyi http:// Tencent News http://v.qq.com/live/p/topic/49737/preview.html Sina Technology http://video.sina.com.cn/l/p/1722511.html Yunqi Community http://yq.aliyun.com/webinar/play/419 Betta live broadcast http:// Tianchi Live Room http:t.cn/RnQPhuY IT big coffee said http:// New Wisdom Industry Transition AI Technology Summit [New Zhiyuan Guide] At the 2018 New Wisdom Industry Transition Technology Summit held yesterday, the 2018 Xinzhiyuan Artificial Intelligence Entrepreneur List was announced! This review selected 300 AI entrepreneurs, collected 12 million entrepreneurial project data, 37 million news data and 420 million search data from the whole network, integrated 17 indicators of the dimensions, and finally got 20 AI entrepreneurs. Cloud from the founder of technology, Zhou Wei Horizon founder and CEO Yu Kai Desperate Technology Face++ co-founder and CEO Yin Qi Wu Gansha, co-founder and CEO of the company Assistant to co-founder and CEO Wang Guanchun Kam deep technological co-founder and CEO Yao Chung Huifei Huiying founder and CEO Chai Xiangfei Deng Yu, founder of Dadu Medical Bitcoin CEO Jenques Cambrian founder and CEO Chen Tianshi Gu Lingwei , CEO and co-founder of Jialing Technology Jingchi Technology CEO Han Xu Yun Zhisheng founder and CEO Huang Wei Li Bin, founder and chairman of Weilai Xiao Ma Zhixing founder and CTO Lou Tiancheng Go out and ask the founder and CEO Li Zhifei Xu Tang, co-founder and CEO of Shangtang Technology Zhu Tu, co-founder and CEO of Etu Technology You must choose founder and CEO Zhou Jian Artificial intelligence is surging, and heroes are constantly emerging. This is the third year that Xinzhiyuan's artificial intelligence entrepreneurs have chosen. In the past three years, Xinzhiyuan has witnessed a group of AI entrepreneurs fighting hard under the wave of the times, with unique innovation advantages and Aggressive awareness drives the intellectual transformation and upgrading of the entire industry. Every evaluation standard is not perfect, no matter whether it enters the list or not, it is a good talent for Chinese AI entrepreneurship. We once again congratulate the entrepreneurs who have won the "2018 Xinzhiyuan Artificial Intelligence Entrepreneur"! Demystifying the big data: 420 million search data from the sea, and the selection of 300 entrepreneur candidates "2018 Xinzhiyuan Artificial Intelligence Entrepreneur" was officially launched in March 2018. Unlike the previous ones, this selection enabled one. Special review - AI. Based on the vast amount of information on the whole network, this review analyzes data from multi-dimensional and multi-vector indicators to create a comprehensive intelligent review mechanism. Xinzhiyuan selected 300 AI entrepreneurs, collected 12 million entrepreneurial project data, 37 million news data and 420 million search data from the whole network, and integrated the five platform indexes of Baidu, Sogou, Headlines and WeChat. The jury also made special considerations in the vector and dimension design of the data. In the end, considering that AI entrepreneurship requires high technology, strong scenarios, strong capital, and policy sensitivity, the jury has determined the team (including founder and member qualifications and team size), customer groups, tax indexes, financing information, etc. The angle analysis data, combined with media reports and company brand influence, came up with a review formula: China's technological innovation is based on such a group of people who have dreams, persistence, no giving up, and biting their teeth. This list also wants to pay tribute to these lovely people, while paying tribute to the power of Chinese innovation and the rise of Chinese AI. Entrepreneur Dream Show: Autopilot, AI Chip, Assistant, AI+ Medical, Unleashing Intelligence Potential in Technology Landing In the subsequent “Xinzhiyuan Artificial Intelligence Entrepreneur Dream Showâ€, five award-winning entrepreneurs took the stage to share their entrepreneurial stories and experiences. Wu Gansha, co-founder and CEO of the company, focuses on the roots and quiets Wu Gansha once again thanked Xinzhiyuan for his invitation. This is his third time attending the summit. The strategy of the downside is to choose a main channel, multi-step, multi-path to explore the future direction. "We have a ladder plan three paths - above is the low-speed scene L4, the middle is the highway L3, the bottom is the city open road L4, on the first path above, there are two steps, from the completely qualified scene Autonomous parking to semi-open." This path has also been questioned a lot, and we have hesitated. There are two routes now: one is a step forward development, the other is one step in place, which one is more reliable? Google represents the most advanced level now, requiring 1 person per intervention for 5,600 miles of autonomous driving. GM is very fast, but it's also very complicated. For example, if you don't dare to enter the tunnel, you rarely make a U-turn. In comparison, the human level only makes one ordinary accident every 165,000 miles, and only one fatal accident occurs every 90 million miles. Whether the final technology meets safety expectations requires 10 billion miles of verification. If the data is too small, it is not statistically reliable. And sensors and systems need full redundancy, and reducing redundancy is irresponsible. Everyone knows that Uber has recently had an accident. In the past two days, Reuters made a report saying that Uber has changed from the former Ford Fusion model to the current Volvo sensor modification. The original Lidar has 360 degrees. There is no dead angle coverage, and now there is only a 64-line lidar on the top, so there is a blind spot, which may reduce safety. Full redundancy of sensors and systems is very expensive. Therefore, the one-step route is directly difficult, which means that the driver cannot be taken away. The very small system is very expensive, and the ladder development can be easily and difficult. In some controllable scenes, the security officer is really removed. Prices have gradually declined from niche to mass. In a sense, this is similar to Tesla's MasterPlan, which breaks down the problem from easy to difficult. First, make a small batch of Roadster for the super locals, then the mid-priced Model S and X, and then the Model 3 for the general public. This logic is very clear, the niche is high to the public low price, and the technology is gradually verified. SpaceX is also like this, first of all, to do the small thrust of Falcon 1, and then to make the reusable rocket Falcon 9 and Heavy, and finally to make a larger rocket that can fly to Mars. It is also a process from easy to difficult and gradually increasing. . What we have done here is very unique. It is to use OEM standards to do our system, which means that the next step is to enter the semi-open environment and OEM to cooperate and do autonomous parking. The second path, high-speed L4, we walked away from the direction of high-speed L3, further reducing its difficulty, and both of these are working with OEMs. The advantage is that there can be a million installed capacity, 10 billion kilometers of data verification, because the amount can also reduce costs. The third path, the open road L4, requires a breakthrough in algorithms. Today's algorithms are incomplete and incompetent, and require a long-term strategy to cooperate with the most advanced research units. The summarization of our ladder plan is such a logic: the low-speed scened L4 forms the commercialization capability and builds the system through OEM standards. With such goodwill and system advantages, you can enter the mass production of OEMs, and the installed capacity of millions of units will reduce the cost and form a verification of 10 billion kilometers. With these, we can promote the cooperation of the frontier, realize the breakthrough of the algorithm, and take the lead in breaking through the mature stage of L4 in the case of large-scale simulation and real vehicle verification. Heavy for the light roots, quiet for the monarch. We choose the heavy mode of hardware and software together, choose to cooperate with the OEM, this will get rid of a few layers of skin, and now the industry is very embarrassing and instigating, there must be strength and calm. Our sentiments are Humble and Hungery. Humility is not weakness, but a power to point your wisdom in the right direction. What is Humble? 1. We must be awesome about safety from the heart, not to be a pig teammate in the industry. 2. We must act in accordance with the basic laws and basic principles, and do not do big leap forwards; 3. Do not engage in foreign invaders in the industry, and do not grab their jobs for ecological partners. We should be empowerers, let them succeed first, and we will make the last bucket of gold. It is hoped that through the cascade of upstream and downstream, we can amplify the value of the stock, create incremental value, and then find our last bucket of gold in the enlarged stock value and the newly added incremental value. Walk with the pioneers and create with the pioneers, thank you! Yao Jian, co-founder and CEO of Shenjian Technology: New thinking in AI chip industry Yao Wei said that we are really lucky to be a company. Artificial intelligence has started to fire in the industry and investment circles in 2016. We started to do related research from 2012. At that time, we thought that we did a lot of special machine learning accelerators and found that deep learning is quite fun, with a professional. The hardware solves the neural network, and the neural network can solve many applications, so the application started in 2012. Entrepreneurship is also catching up with the commercialization of artificial intelligence that may outweigh the business scenarios of the mobile and Internet era. I am very lucky to be here. First, the new thinking in this industry, originally done a lot of chip design, do a lot of algorithm design, the two are separated and separated. For deep learning and AI, the application layer and algorithm layer and the underlying chip architecture are very tightly coupled, making it very difficult to see the chip directly from the application and algorithm. Therefore, to do AI chips, we must also consider the algorithm to optimize the structure supported by the chip. The chip also has to optimize the structure to run the most efficient structure. It can't separate the application and the structure of the chip. It must be linked together. Look. Second, everyone provides a systematic solution, not a single chip. We can see that the more you go to the system, the more you go to the end user, the higher the income, and I don't do the system. Many AIs can be used in traditional industries rather than as a very separate industry. If we can't fully implement the vertical industry system, it is very difficult for us to sell things. Because vertical industry customers are actually very difficult to simply put a chip in a good software environment, there is no good reference design, no good algorithm, no good system to use. Third, this is actually a very good opportunity to change lanes. I feel very profound. The first batch of research we do in the world. Really, when we started mass production and complete processor chip design, Intel and NVIDIA could find a lot of experienced architects who have done processor chips. They have a complete set of chip design experience and mass production. There are many generations of processor chips, and such people in China are actually very scarce. We are not weaker than the United States at the research level, but there is still some backwardness in the entire talent base of the entire industrial base. We have very good advantages in China. There are many new applications that are not available abroad, such as security. More customers are willing to try new applications to open their own markets. More than two years of entrepreneurship is also very experienced, technically may be beyond the traditional industry thinking, products must also be beyond the traditional chip industry thinking. From the entire commercialization path, it is necessary to make full use of the advantages in China and avoid the disadvantages of confrontation, so that it is possible to do a better job of starting their own business. Deng Yu, founder of Dadu Medical: Leading edge technology leads business model Deng Wei said that it is a great honor to have such an opportunity to share experiences with you, and more are some lessons. Today I want to talk about two small themes: 1. Since it is a technology entrepreneurship, how can your technical route go right and you cannot be sentenced to death. 2. Technology alone is not enough, and there must be a continuous profit model. What is the technical route? When we were doing artificial intelligence medical treatment, there were several benchmarks in the world: Google Deep Mind was working as a smart family doctor, and the other one was Google Brain. I wrote a paper some time ago to explain the planning of the whole project. Some friends tell me after seeing the article. Why are they doing this like you? Or, how do you just do it like them? I candidly say that it is not a coincidence, but I read both DeepMind and Google Brain articles, so we basically have a lot of what they think. In the hospital, private clouds are deployed, and nearly 400 million high-quality electronic medical records are compiled without violating or infringing on the security of their medical data. 400 million medical records are 400 million paths, which constitute a medical knowledge map, which is a large map of medical care. What can I do after I have a map? Navigation through Baidu Gold Maps is a reasonable and compliant treatment path. So what we do is to collect a large number of medical records, each medical record translation becomes a path, and after forming a knowledge map, plan a reasonable and compliant path. So far, this technology is not only at the forefront, but also very close to the leaders of the entire industry. How to find a sustainable profit model? We were very lucky. At the beginning, we felt that the path of reasonable compliance was most suitable for the claims of medical insurance. Then we stared at this point and suddenly found that Jiangsu Province, Guangdong Province and Fujian Province came to us. The goal we have to accomplish this year is the POC, which is the process of completing a proof from a concept to a sustainable profit model in several cities. We also launched ToC's WeChat applet, which is constantly improving and welcomes everyone to experience it. Assistant also came to co-founder and CEO Wang Guanchun: homeopathic, the commercialization of the assistants Wang Guanchun said that in the past year, who do you think is the most popular person in the scientific and technological world? I think non-Amazon CEO Bezos is not only let Amazon's market value surpass google, but also has surpassed Bill Gates to become the world's richest man. What is the reason behind this? Who is the hero of wealth creation? One belongs to the second is Alexa, the smart assistant product created by Amazon. Alexa allows users to listen to music, set alarm clocks and even shop by voice conversation. Even Bezos himself said that Alexa represents the future of Amazon. In 2015, I left the Baidu Entrepreneurship Founding Assistant because I found that the future of intelligent assistants will become more and more popular and will become a part of life. Over the past two years, assistants have continued to expand their business under these two drivers. We counted the number of demand sessions per day through the AI ​​engine. When the assistants came out, the number of C-product assistants and the number of users in the public account reached 10 times. We are constantly citing The deep learning and machine learning methods make core functions such as schedule reminders, taxis, coffee, travel, etc. better, so that the user's retention continues to improve. Since the second half of last year, we have found that more industry customers have the same needs and hope to build their own assistants. We launched ToB's brand “Wu Laiâ€, which outputs the industry's smart assistant solution. It is expected that the number of demand sessions per day will increase tenfold this year. How do we choose the industry? The main thing is two dimensions. One dimension is the knowledge professionalism in this industry, that is, the barrier of knowledge. The higher the knowledge barrier, the more the dialogue interaction is needed. In another dimension, how high is the online communication of industry customers? If the service marketing and sales of an enterprise are already online, then the next step is to improve efficiency and improve conversion through intelligence. I will continue to work hard to build intelligent assistants for more companies and individuals. thank you all! Artificial intelligence medical imaging is the use of image recognition methods to determine the picture. There may be several types of data in medicine, mainly pathological data, as well as medical images. Many of these problems can be solved simply by image recognition. The problem is that the fact that we individually identify images in medical settings is not enough to meet the needs of doctors, especially as an essential tool for everyday use and for clinical decision making. Today our biggest change is Artificial Intelligence 2.0, and we are moving from intelligent screening of images to participating in clinical assistant decision making. In medical imaging, not only image recognition, but also can participate in the staging of tumors, and even accurately judge the prognosis, according to this judgment to make a more personalized treatment. To put it simply, last year we released three more commonly used graphical products for screening scenarios, such as CT lung nodule detection, chest DR detection and fracture detection. Fractures are often used in emergency situations. CT and DR are scenarios for physical examination. After more than a year of hard work, we have released several important medical imaging 2.0 products, not only to find the lesion, to tell the doctor where the lesion is, but also to be able to determine the type, characteristics and follow-up treatment of the lesion. Choose to make a prediction overall. Among the similar products, our biggest difference is that our training model not only has image information, but also adds many patients' clinical information, test information and post-surgery information. In addition, we have cooperated with many top hospitals in the country, and even went abroad to go to West Asia and the United States to carry out related product sales. I am very grateful to Xinzhiyuan for accompanying us all the way. It also gives us a lot of encouragement and inspiration. I look forward to the next year to stimulate the progress of our company. 2018 Xinzhiyuan Artificial Intelligence Entrepreneur Dr. Zhou Wei, the founder of Yunqi Technology, is a professor of the Fourth Academy and the father of computer vision, Professor Thomas S. Huang, who specializes in computer vision research in the field of artificial intelligence, and is a doctoral supervisor at the Chinese Academy of Sciences and Shanghai Jiaotong University. He has worked in IBM TJ Watson, MSR Redmond, and NEC Labs America. Dr. Zhou Wei led the team to win the championship seven times in the international competitions such as image recognition and audio detection; more than 60 articles were published in top international conferences and magazines, and they were cited thousands of times. In 2011, Dr. Zhou was elected to the “Hundred Talents Program†of the Chinese Academy of Sciences. He served as deputy director of the Information Institute of Chongqing Green Intelligent Technology Research Institute of the Chinese Academy of Sciences and director of the Intelligent Multimedia Technology Research Center. He led the team to participate in the Strategic Pilot Science and Technology Class A special project of the Chinese Academy of Sciences. In 2015, led the Chinese Academy of Sciences team to establish China's artificial intelligence "national team" cloud from technology. Founded in April 2015, Yun Cong Technology is a high-tech enterprise incubating at the Chongqing Research Institute of the Chinese Academy of Sciences, focusing on computer vision and artificial intelligence. At present, Yun Cong Technology is the Bank of China's 601988, the largest supplier of face recognition in the stock market. There are about 148 banks in China that have the ability to build their own systems. As of March 15, 2018, there were about 121 banks that had completed the tender, of which cloud won the bid from 88 head office platforms, with a market share of approximately 72.7%. In March 2017, it undertook the task of building a national “artificial intelligence†basic project – the “Artificial Intelligence Basic Resource Public Service Platformâ€. In January 2018, he undertook the task of building a major project of the national "artificial intelligence" industrialization project - "face recognition system industrialization application platform". Dr. Yu Kai, Horizon Founder & CEO, internationally renowned machine learning expert, member of the National New Generation Artificial Intelligence Strategic Planning Committee of the Ministry of Science and Technology, and national “Thousand Talents Program†expert. From 2012 to 2015, he successively created and led the Baidu Deep Learning Institute (IDL), Baidu Autopilot Team, Baidu Brain PaddlePaddle and so on. He has published more than 14,000 papers and is the first scholar to lead a team to win a global championship in ImageNet image recognition. He also worked as a senior research scientist in the neurocomputing department at the Siemens headquarters in Germany. He graduated from Nanjing University and received his Ph.D. from the University of Munich, Germany. As the global leader in embedded artificial intelligence, Horizon is committed to providing high-performance, low-power, low-cost, complete and open embedded artificial intelligence solutions. Horizon is based on the innovative artificial intelligence dedicated processor architecture (BPU), independently designed and developed China's first world-leading embedded artificial intelligence vision chip - Journey series processor for intelligent driving and sunburst for smart camera ( Sunrise) series processors and provide industry customers with a complete solution of "algorithm + chip + cloud". In the field of intelligent driving, Horizon has deep cooperation with top Tier1s and OEMs at home and abroad; in the fields of smart business and smart city, Horizon and domestic partners provide customized solutions based on Chinese application scenarios. Yin Qi, Bachelor of Experimental Course of Yao Zhizhi of Tsinghua University, Master of Computer Science from Columbia University, special overseas returning expert from Beijing, the first student of Lakeside University, the winner of the 2017 Beijing May Fourth Youth Medal and the 9th China Youth Entrepreneurship Award, He was selected as the 30U30 Young Leader of Forbes Asia and ranked first in the list of leading technology figures. In 2011, Inch and Tsinghua Yao Ban co-founded Vision Technology Face++ to promote computer vision commercialization. Founded in 2011, Beijing Vision Technology Co., Ltd. is headquartered in Zhongguancun, the core area of ​​the National Science and Technology Innovation Center. It is the world leader in the machine vision artificial intelligence industry and the leader in the face recognition industry. It is also the world's first batch of deep learning technology. An artificial intelligence enterprise that implements face recognition products. It has the world's largest face recognition open platform Face++ and third-party face authentication platform FaceID. The users cover more than 220 countries and regions, and its core products are in finance, security, and mobile phones. The industry has the highest market share, and has launched a number of groundbreaking AI products including face recognition payment, face recognition unlocking, and full frame smart capture machine in various vertical fields. The Jenke Group graduated from the Institute of Microelectronics of the Chinese Academy of Sciences with a master's degree. He used to be an assistant researcher at the Information Technology Research Institute of Tsinghua University and the R&D director of Beijing Digital Taihe Technology Co., Ltd. In 2013, he founded Bitland, where he served as chairman and co-CEO, working in chip design, application cryptography, virtual currency, blockchain, artificial intelligence, and enterprise management. Founded in 2013, Bitcoin is dedicated to providing high-speed, low-power dedicated custom chips, high-performance, high-density computing servers, massively parallel computing and cloud services. Since the establishment of the company, the company's asset scale and revenue level have continued to grow at a high speed. It has gradually completed the industrial layout in the world, and successfully mass-produced billions of chips in the field of digital currency chips, and has the most advanced 7nm process design experience. Today, Bittland is showing its edge in the field of artificial intelligence. More than 60% of the company's employees are engaged in chip and system research and development. The self-developed tensor processor BC1680, deep learning acceleration card counting SC1/SC1+, intelligent video analysis server counting SS1 and other products have been released and mass-produced for labor. The intelligent and deep learning areas provide highly competitive high performance computing infrastructure products. Postdoctoral fellow at Stanford University, Ph.D. in Medical Physics, University of Amsterdam, The Netherlands. Academician Lei Xing, an academician of the US Academy of Sciences, Marcel van Herk, one of the world's top image-guided scientists, and Paul Suetens, one of the founders of CT recombination algorithms, have been in the world at Stanford University Cancer Center, the Netherlands Cancer Institute, and the Radiology Department of the University of Leuven, Belgium. Top medical imaging agencies work and study. Over 10 years of interdisciplinary research and engineering experience in artificial intelligence, image processing and data analysis. He was awarded the "Artificial Intelligence Entrepreneurship 30" and "Best Youth Model" honor. He is the first student of Qingto University. The valuation of 48 front-end projects including Huiyi Huiying is over RMB 89 billion. Huiyi Huiying is a national-level medical imaging artificial intelligence high-tech enterprise dedicated to the application of computer vision and deep learning technology. The company has completed clinical and scientific cooperation with more than 700 top hospitals in China, including the People's Liberation Army General Hospital, Peking Union Medical College Hospital, Beijing Friendship Hospital, Chinese Academy of Medical Sciences Cancer Hospital, Peking University Cancer Hospital, the Fifth Affiliated Hospital of Zhengzhou University, Ordos 600295 The medical association and the top three hospitals provide a complete set of medical diagnosis and medical data analysis solutions based on cloud computing, big data and artificial intelligence to create digital, mobile and intelligent medical images. The only high-tech innovative company that covers everything from diagnosis and treatment to research. Wang Guanchun, Ph.D., Princeton University, a well-known Internet entrepreneur. Co-founded “Looking tonight†and was acquired by Baidu at the end of 2012. During Baidu, he led the intelligent interactive application team and participated in the development of human-machine dialogue products such as Baidu voice assistant and Xiaodu robot, which promoted the successful application of voice dialogue function and vertical applications such as Baidu map. He also led the Baidu Chopsticks Search Project, the first in China to receive the Cannes Innovation Golden Lion Award. He left Baidu in June 2015 to create an assistant, and has received multiple rounds of investment from well-known investment institutions such as Microsoft Headquarters, Sequoia, Zhenge, Lightspeed and Shuanghu Capital. The daily interaction of the platform reaches 1 million+. In 2017, the company also officially launched the industry assistant - I will help the enterprise customers in the vertical sector to create industry assistants. The assistant is also here, the vision is to create the most trusted assistant product, and become a globally influential artificial intelligence company. The C-side product "Xiaolai" is an intelligent online secretary that allows users to initiate service requests such as schedules, taxis, coffee and travel in a natural language and quickly meet them. The B-end solution "I come" exports knowledge-based interactive robots and intelligent customer communication systems to help corporate customers build industry intelligence assistants. At present, it has already achieved commercialization in benchmarking enterprises in the tourism, consumer, financial, medical and automotive industries. Wu Gansha, co-founder and CEO of the company, is committed to developing the most advanced autonomous driving technology to change the world. Before starting the business, he was the Dean of Intel China Research Institute and the chief engineer of Intel. He led Intel's long-term planning of big data technology strategy and established three directions for 5G communication, intelligent computing and robotics for China Research Institute. Personal Positioning: A senior engineer with a little bit of business intelligence, a technical manager who tries to disrupt organizational change, and a technology-driven social innovation. Bianshi Technology (Beijing) Co., Ltd. uses artificial intelligence and big data to reconstruct the traffic of people and things, and uses driverless to solve the traffic and logistics problems of the billion-level people.é©åŠ¿ç§‘æŠ€è‡´åŠ›äºŽæ‰“é€ æœªæ¥çš„自动驾驶系统和全新的交通方å¼ï¼Œæˆ‘们深信人工智能将赋予交通工具智慧和çµæ€§ï¼Œè®©äººç±»çš„å‡ºè¡Œæ›´åŠ ä¾¿æ·ã€å®‰å…¨å’Œèˆ’适。 姚颂，2015毕业于清åŽå¤§å¦ç”µå工程系，斯å¦ç¦å¤§å¦ç”µå工程系访问å¦è€…，于2016年创立深鉴科技，并担任CEOã€‚å¸¦é¢†å›¢é˜Ÿè‡ªä¸»ç ”å‘高效深度å¦ä¹ å¹³å°ï¼Œè‡´åŠ›äºŽä¸ºæ™ºèƒ½å®‰é˜²ä¸Žæ•°æ®ä¸å¿ƒç‰è¡Œä¸šæ供算法ã€è½¯ä»¶ã€èŠ¯ç‰‡ä¸€ä½“的人工智能方案。深鉴科技在创立2年的时间里，连ç»èŽ·å¾—了金沙江创投领投的500万美元天使轮èžèµ„与Xilinxã€è”å‘科ã€æ¸…åŽæŽ§è‚¡é¢†æŠ•çš„2000万美元Aè½®èžèµ„，2017å¹´10月完æˆç”±èš‚èšé‡‘æœä¸Žä¸‰æ˜Ÿé£ŽæŠ•é¢†æŠ•ï¼Œæ‹›å•†å±€åˆ›æŠ•ä¸ŽåŽåˆ›èµ„本跟投的4000万美金的A+è½®èžèµ„。作为一å年轻优秀的创业者，姚颂曾获得ç¦å¸ƒæ–¯äºšæ´²Under 30ã€MIT TR35 China（35å²ä»¥ä¸‹ç§‘技创新é’年）ç‰è£èª‰ã€‚ 深鉴科技（DeePhi）æˆç«‹äºŽ2016年，作为全çƒé¢†å¯¼æ€§çš„ç¡¬ä»¶åŠ é€Ÿæ–¹æ¡ˆå’Œæ·±åº¦å¦ä¹ å¹³å°æ供者，目å‰å·²å…·å¤‡ä¸–界顶尖的神ç»ç½‘络压缩编译技术ã€ä½“系结构与指令集结构设计方法以åŠFPGA/芯片系统设计集æˆçš„ç ”å‘能力，形æˆäº†ä»¥è‡ªä¸»ç ”å‘的深度压缩技术与深度å¦ä¹ 处ç†å™¨DPU（Deep-Learning Processor Unitï¼‰ä¸ºæ ¸å¿ƒï¼Œä»Žç®—æ³•åˆ°è½¯ä»¶åˆ°ç¡¬ä»¶çš„å®Œæ•´è§£å†³æ–¹æ¡ˆï¼Œè®©æ‰€æœ‰äºŸéœ€è§£å†³é«˜ç®—åŠ›ã€ä½ŽåŠŸè€—需求的智能化设备æ供商能够方便使用。 邓侃，上海交通大å¦æœ¬ç§‘åŠç¡•å£«ï¼Œç¾Žå›½å¡å†…基梅隆大å¦ï¼ˆCMU）计算机å¦é™¢æš¨æœºå™¨äººç ”究所åšå£«ï¼Œä¸“攻人工智能åŠæ•°æ®æŒ–掘。历任美国甲骨文公å¸ï¼ˆOracle）主任系统架构师，美国泰为手机导航公å¸ï¼ˆTelenav）北京分公å¸æ€»ç»ç†ï¼Œç™¾åº¦é«˜çº§æ€»ç›‘并主管网页æœç´¢å’ŒçŸ¥è¯†å›¾è°±ã€‚2015年，邓侃创建北京大数医达科技有é™å…¬å¸ï¼Œæ—¨åœ¨å°†æ·±åº¦å¼ºåŒ–å¦ä¹ 技术应用于医疗å¥åº·é¢†åŸŸã€‚ 北京大数医达科技有é™å…¬å¸æ˜¯ä¸å…³æ‘高新技术ä¼ä¸šï¼Œæ˜¯ä¸€å®¶åœ¨äººå·¥æ™ºèƒ½ã€å¤§æ•°æ®ã€äº‘计算方é¢æ‹¥æœ‰å›½é™…领先水平的高科技ä¼ä¸šï¼Œä¸“注于多æºå¼‚构医疗数æ®å¤„ç†ã€æ·±åº¦æŒ–掘与机器å¦ä¹ ，旨在è¿ç”¨å¤§æ•°æ®æŠ€æœ¯å’Œäººå·¥æ™ºèƒ½æŠ€æœ¯ä¿ƒè¿›ä¸å›½åŒ»ç–—å«ç”Ÿå¥åº·äº‹ä¸šå‘å±•ï¼Œæ‰“é€ åª²ç¾ŽIBMçš„Dr Watson的人工智能医疗大数æ®ç³»ç»Ÿï¼ŒæŽ¨è¿›ä¸å›½åŒ»ç–—行业的创新和快速å‘展。公å¸å¯¹å‡ 亿份三甲医院病历进行结构化解æžï¼Œæž„建海é‡è®ç»ƒæ•°æ®ï¼Œå¹¶ç»“åˆä¸´åºŠæŒ‡å—，è®ç»ƒåŒ»ç–—深度强化å¦ä¹ 模型。用于实现é¢å‘患者的医疗咨询æœåŠ¡ï¼Œé¢å‘基层医生的临床导航æœåŠ¡ï¼Œä»¥åŠé¢å‘医院和医疗ä¿é™©çš„å…¨æµç¨‹ç²¾ç»†åŒ–è´¨é‡æŽ§åˆ¶å’Œæˆæœ¬æŽ§åˆ¶æœåŠ¡ã€‚ å¼ å¤©é›·ï¼Œæ¸…åŽå¤§å¦åšå£«ï¼Œå†³ç–规划控制与仿真专家，ISO26262认è¯å·¥ç¨‹å¸ˆã€‚现任ä¸å›½äººå·¥æ™ºèƒ½å¦ä¼šæ™ºèƒ½é©¾é©¶ä¸“业委员会副秘书长，新智元智能驾驶顾问，拥有10ä½™å¹´çš„æ™ºèƒ½é©¾é©¶é¢†åŸŸç ”ç©¶ç»éªŒï¼Œæ›¾å‚与我国10ä½™æ¬¾æ™ºèƒ½é©¾é©¶è½¦ç ”å‘，并担任部分车辆决ç–控制和仿真方å‘技术负责人。已公开有60余项智能驾驶相关专利，曾任æŽå¾·æ¯…院士“猛狮â€æ™ºèƒ½é©¾é©¶è½¦é˜Ÿé˜Ÿé•¿ã€‚ 北京主线科技有é™å…¬å¸æˆå‘˜æ¥è‡ªæ¸…åŽã€åŒ—大ã€ETHZã€å¸å›½ç†å·¥å’Œæ™®æž—斯顿ç‰é«˜ç‰å¦åºœï¼Œæ ¸å¿ƒæˆå‘˜æ›¾åœ¨è°·æŒã€ç™¾åº¦ã€MSRAã€Teslaç‰çŸ¥å机构供èŒã€‚å…¬å¸èšç„¦æ™ºèƒ½é©¾é©¶ä¸“用车领域，与国内多家港å£ã€çŸ¿å±±ã€ç‰©æµä¼ä¸šè¾¾æˆé‡è¦åˆä½œã€‚å›¢é˜ŸæŠ€æœ¯èƒ½åŠ›è¦†ç›–æ™ºèƒ½é©¾é©¶å…¨æ ˆï¼Œä¸”å…¬å¸è‡´åŠ›äºŽæ™ºèƒ½é©¾é©¶æŠ€æœ¯çš„产业化，本ç€è§„模化生产ã€ç²¾ç»†åŒ–管ç†å’Œé«˜å¯é 性è¦æ±‚三大原则进行车规级产å“设计和实现。是智能驾驶领域为数ä¸å¤šçš„拥有高é“TB/T3027è”é”æ ‡å‡†æ”¯æŒå’ŒISO26262功能安全能力的公å¸ï¼Œç›®å‰å·²ä¸Žå›½å†…外数家主机厂深度åˆä½œï¼Œä¸»å¯¼äº†å¤šä¸ªå…¨çƒçŸ¥å智能驾驶项目，并与多家集团客户建立战略åˆä½œå…³ç³»ã€‚ 陈天石，ä¸å›½ç§‘å¦é™¢è®¡ç®—æŠ€æœ¯ç ”ç©¶æ‰€ç ”ç©¶å‘˜ã€åšå¯¼ï¼Œé•¿æœŸä»Žäº‹å¤„ç†å™¨æž¶æž„和人工智能交å‰é¢†åŸŸçš„产å“ç ”å‘å’ŒåŸºç¡€ç ”ç©¶ï¼Œæ˜¯å¯’æ¦çºªç³»åˆ—商用智能处ç†å™¨çš„å¥ åŸºäººä¹‹ä¸€ï¼Œæ›¾èŽ·ä¸å›½è®¡ç®—机å¦ä¼šç§‘å¦æŠ€æœ¯ä¸€ç‰å¥–，入选国家自然科å¦åŸºé‡‘委员会“优é’â€ã€‚陈天石2005年于ä¸å›½ç§‘å¦æŠ€æœ¯å¤§å¦å°‘å¹´ç获ç†å¦å¦å£«ï¼Œ2010年于ä¸å›½ç§‘å¦æŠ€æœ¯å¤§å¦è®¡ç®—机å¦é™¢èŽ·å·¥å¦åšå£«ï¼Œæ”»è¯»åšå£«å¦ä½æœŸé—´çš„工作曾获ä¸å›½è®¡ç®—机å¦ä¼šä¼˜ç§€åšå£«è®ºæ–‡å¥–ã€ä¸å›½ç§‘å¦é™¢ä¼˜ç§€åšå£«è®ºæ–‡å¥–ã€å…¨å›½ç™¾ç¯‡ä¼˜ç§€åšå£«å¦ä½è®ºæ–‡æåã€ä¸å›½ç§‘å¦é™¢é™¢é•¿å¥–。 寒æ¦çºªæ˜¯å…¨çƒç¬¬ä¸€ä¸ªæˆåŠŸæµç‰‡å¹¶æ‹¥æœ‰æˆç†Ÿäº§å“çš„AI芯片公å¸ï¼Œå…¨çƒAI 芯片领域第一个独角兽åˆåˆ›å…¬å¸ã€‚2016 å¹´å‘布的寒æ¦çºª1A处ç†å™¨ï¼ˆCambricon-1A）是世界首款商用深度å¦ä¹ 专用处ç†å™¨ï¼Œåœ¨è¿è¡Œä¸»æµæ™ºèƒ½ç®—法时性能功耗比全é¢è¶…è¶Šä¼ ç»Ÿå¤„ç†å™¨ï¼Œä¸Žé˜¿é‡Œé£žå¤©æŠ€æœ¯å¹³å°ã€ç¥žå¨å¤ªæ¹–之光ã€åŽä¸ºéº’麟960芯片ã€ç‰¹æ–¯æ‹‰ã€å¾®è½¯HoloLensã€IBM Watson ç‰å›½å†…外新兴信æ¯æŠ€æœ¯çš„æ°å‡ºä»£è¡¨åŒæ—¶å…¥é€‰ç¬¬ä¸‰å±Šä¸–界互è”网大会评选的å五项“世界互è”网领先科技æˆæžœâ€ã€‚ 顾嘉唯，毕业于清åŽå¤§å¦ï¼Œå‰ç™¾åº¦äººå·¥æ™ºèƒ½ç ”究院人机交互负责人，å‰å¾®è½¯ç ”ç©¶é™¢ç ”ç©¶å‘˜ã€‚æ‹¥æœ‰å›Šæ‹¬ç¡¬ä»¶å’Œè½¯ä»¶çš„22项美国å‘明专利，120余项国内专利，是美国斯å¦ç¦å¤§å¦ME310国际创新课程的客座监事。2017年被美国《财富》æ‚志评为“ä¸å›½40ä½40å²ä»¥ä¸‹çš„商界精英â€ï¼Œ2016年被美国麻çœç†å·¥å¦é™¢ã€ŠæŠ€æœ¯è¯„论》评选为“MIT TR35â€å…¨çƒ35ä½ä¸–界科技创新家，2015年被《ç¦å¸ƒæ–¯ã€‹è¯„为“ä¸å›½æœ€å…·å‘展潜力设计师â€ã€‚ 北京物çµæ™ºèƒ½ç§‘技有é™å…¬å¸ï¼ˆç®€ç§°ç‰©çµç§‘技，Ling Technology），是一家é¢å‘å…¨çƒçš„人工智能科技公å¸ï¼Œä¸“注于设计ã€ç ”å‘ã€ç”Ÿäº§ã€é”€å”®ä¸Žè¿è¥ä¸€ç³»åˆ—AI消费å“。创始团队从互è”网（Internet）至智能物è”网（AI-IOT）的å˜è¿ä¸æ´žå¯Ÿå…ˆæœºï¼Œçž„准下一个AI智è”网时代，以创建人机共生的çµæ€§ä¸–界为使命，以创建人机共生的çµæ€§ä¸–界为使命，立志å‘展æˆä¸ºå›½å†…外é¢å‘消费者市场家åºäººå·¥æ™ºèƒ½äº§å“领域的一线å“牌。 韩æ—，åšå£«æ¯•ä¸šäºŽç¾Žå›½ä¼Šåˆ©è¯ºä¼Šå¤§å¦é¦™æ§Ÿåˆ†æ ¡ï¼Œå¸ˆä»Žç¾Žå›½å’Œä¸å›½å››é™¢é™¢å£«ï¼Œè®¡ç®—机视觉æƒå¨Thomas Huang教授。åšå£«æ¯•ä¸šåŽåŠ 入美国密è‹é‡Œå¤§å¦ä»»åšå£«ç”Ÿå¯¼å¸ˆã€ç»ˆèº«æ•™æŽˆï¼Œå¹¶æ‹…任计算机视觉和机器å¦ä¹ 实验室主任。他主æŒå¼€å‘çš„DeepSpeech2被MIT Tech Review评为2016å大技术çªç ´ä¹‹ä¸€ï¼Œä»–曾担任百度自动驾驶首å¸ç§‘å¦å®¶ã€‚ 景驰科技（JingChi.ai）是一家由人工智能驱动ã€å…¼å®¹ç½‘è”å¼è‡ªåŠ¨é©¾é©¶æ¨¡å¼ï¼Œä»¥æ— äººé©¾é©¶æŠ€æœ¯ä¸ºæ ¸å¿ƒçš„é«˜çº§åˆ«æ™ºèƒ½æ±½è½¦çš„ç ”å‘å’Œè¿è¥ä¼ä¸šã€‚景驰科技由首å¸æ‰§è¡Œå®˜éŸ©æ—åšå£«ï¼Œé¦–å¸è´¢åŠ¡å®˜å•åº†å…ˆç”Ÿï¼Œä»¥åŠé¦–å¸æŠ€æœ¯å®˜æŽå²©åšå£«ï¼ŒäºŽ2017å¹´4月åˆåœ¨ç¡…è°·åˆ›åŠžï¼Œæ—¨åœ¨æ‰“é€ é¢å‘ä¸å›½å¸‚åœºçš„ç¬¬å››çº§åˆ«å…¨è‡ªåŠ¨æ— äººé©¾é©¶ã€‚æ™¯é©°åœ¨ç¡…è°·ã€åŒ—京ã€å¹¿å·žè®¾æœ‰ä¸‰ä¸ªç ”å‘ä¸å¿ƒï¼Œåœ¨å®‰åº†è®¾ç«‹æ— 人车改装è¿è¥ä¸å¿ƒï¼Œæ‹¥æœ‰å…¨å›½æœ€å¤§å¯è¿è¥æ— 人车队。景驰科技于今年1月在广州率先开展常æ€åŒ–试è¿è¥ï¼Œæˆä¸ºå…¨å›½é¦–ä¸ªå¯¹å…¬ä¼—å¼€æ”¾é¢„çº¦è¯•ä¹˜çš„æ— äººé©¾é©¶æŠ€æœ¯å…¬å¸ï¼Œå…·æœ‰è¡Œä¸šé¢†å…ˆåœ°ä½ã€‚ ä¸å›½ç§‘å¦æŠ€æœ¯å¤§å¦èŽ·åšå£«å¦ä½ï¼›æ›¾æ‹…任摩托罗拉ä¸å›½ç ”究ä¸å¿ƒèµ„æ·±ç ”ç©¶å‘˜ï¼ŒæœŸé—´ä¸»å¯¼å¼€å‘å…¨çƒç¬¬ä¸€æ¬¾æ‰‹æœºå£°çº¹è®¤è¯ç³»ç»Ÿï¼›åœ¨ç››å¤§ä»»èŒæœŸé—´ï¼Œæ‹…ä»»åˆ›æ–°é™¢æ ¸å¿ƒé«˜ç®¡ï¼Œåˆ›å»ºè¯éŸ³åˆ†é™¢ï¼›2012年底，创办国内人工智能独角兽公å¸äº‘知声任CEO；曾连ç»ä¸‰å¹´å‚ä¸Žç¾Žå›½å›½å®¶æ ‡å‡†æŠ€æœ¯ç½²ï¼ˆNIST）说è¯äººè¯†åˆ«è¯„测（SRE）项目，获主任务第一å，是目å‰ä¸ºæ¢å”¯ä¸€åœ¨NIST评测ä¸è¿žç»ä¸¤å¹´åšKeynote Speakerçš„åŽäººã€‚入选《财富》“2016年度ä¸å›½å•†ç•Œç²¾è‹±â€å’Œâ€œä¸Šæµ·å¸‚å佳科技创业领军人æ‰â€ç§°å·ã€‚ 云知声，是一家专注物è”网人工智能æœåŠ¡ï¼Œæ‹¥æœ‰å®Œå…¨è‡ªä¸»çŸ¥è¯†äº§æƒã€ä¸–界顶尖智能è¯éŸ³è¯†åˆ«æŠ€æœ¯çš„高新技术ä¼ä¸šï¼Œæ€»éƒ¨ä½äºŽåŒ—京，在上海ã€æ·±åœ³ã€åŽ¦é—¨è®¾æœ‰åå…¬å¸ã€‚云知声利用机器å¦ä¹ å¹³å°ï¼Œåœ¨è¯éŸ³æŠ€æœ¯ã€è¯è¨€æŠ€æœ¯ã€çŸ¥è¯†è®¡ç®—ã€å¤§æ•°æ®åˆ†æžç‰é¢†åŸŸå»ºç«‹äº†é¢†å…ˆçš„æ ¸å¿ƒæŠ€æœ¯ä½“ç³»ï¼Œè¿™äº›æŠ€æœ¯å…±åŒæž„æˆäº†äº‘知声完整的人工智能技术图谱。在应用层é¢ï¼ŒAI芯ã€AIUIã€AI ServiceæŠ€æœ¯æž¶æž„æ”¯æ’‘èµ·äº‘çŸ¥å£°æ ¸å¿ƒæŠ€æœ¯çš„è½åœ°å’Œå®žçŽ°ï¼Œç›®å‰å·²ç»åœ¨å®¶å±…ã€æ±½è½¦ã€åŒ»ç–—和教育ç‰é¢†åŸŸæœ‰å¹¿æ³›åº”用，形æˆäº†å®Œæ•´çš„“云端芯â€ç”Ÿæ€é—环。 æŽæ–Œå…ˆç”Ÿæ˜¯ä¸€ä½è¿žç»åˆ›ä¸šè€…，于2000年创办ä¸å›½æœ€å¤§çš„汽车互è”网ä¼ä¸šæ˜“车，现任易车董事长。早在大å¦æœŸé—´ï¼Œä»–就创办了ä¸å›½æœ€æ—©çš„互è”网公å¸ä¹‹ä¸€å—æžç§‘技, 围绕互è”网和汽车行业，æŽæ–Œå…ˆç”Ÿè‡³ä»Šå‚与创办åŠä¸»å¯¼æŠ•èµ„了超过40家ä¼ä¸šã€‚2017å¹´10月，æŽæ–Œå…ˆç”Ÿå½“选GQæ‚志“2017年度人物â€ï¼Œè¢«è¯„为“年度ä¼ä¸šå®¶â€ã€‚2018å¹´1月，æŽæ–Œå…ˆç”Ÿè¢«æ–°æµªè´¢ç»ã€äººæ°‘日报ã€å´æ™“波频é“è”åˆè¯„选为“2017å大ç»æµŽå¹´åº¦äººç‰©â€ã€‚ 蔚æ¥æ˜¯å…¨çƒé¢†å…ˆçš„智能电动汽车公å¸ï¼Œç›®å‰å·²åœ¨ä¸Šæµ·ã€åŒ—京ã€åœ£ä½•å¡žã€æ…•å°¼é»‘以åŠä¼¦æ•¦ç‰14地设立设计ã€ç ”å‘ã€ç”Ÿäº§ä¸Žå•†åŠ¡æœºæž„，汇èšäº†æ¥è‡ªè¶…过40个国家和地区的4,000多å人æ‰ã€‚至2018年底，蔚æ¥å°†åœ¨ä¸å›½46个城市设立è¿è¥æœºæž„，并在超过300个城市拥有æœåŠ¡ç”¨æˆ·èƒ½åŠ›ã€‚2015年，蔚æ¥è½¦é˜ŸèŽ·å¾—国际汽è”电动方程å¼é”¦æ ‡èµ›åŽ†å²ä¸Šé¦–ä¸ªè½¦æ‰‹æ€»å† å†›ï¼›2016年，蔚æ¥å‘布全çƒæœ€å¿«ç”µåŠ¨æ±½è½¦EP9ï¼Œåˆ›é€ äº†çº½åšæ ¼æž—北环ç‰å›½é™…知åèµ›é“最快圈速纪录以åŠæœ€å¿«æ— 人驾驶时速世界纪录；2017年，高性能智能电动7座SUV蔚æ¥ES8亮相上海车展并于12月æ£å¼ä¸Šå¸‚。 楼天城，1986年出生，2004å¹´ä¿é€è¿›æ¸…åŽå¤§å¦è®¡ç®—机系，2008年进入全çƒå”¯ä¸€åŽäººå›¾çµå¥–得主姚期智院士领导的清åŽå¤§å¦ç†è®ºè®¡ç®—机ä¸å¿ƒæ”»è¯»åšå£«ã€‚楼天城是ä¸å›½å…¬è®¤çš„大å¦ç”Ÿè®¡ç®—机编程第一人，ç»å¸¸ä»¥ä¸€äººå•æŒ‘一个队，在CEOIã€ACMç•Œæ— äººä¸æ™“其大å，人称“楼教主â€ã€‚å‰ç™¾åº¦æ— 人车项目的创始团队æˆå‘˜ï¼Œæ‹…ä»»ç™¾åº¦æ— äººé©¾é©¶äº‹ä¸šéƒ¨æŠ€æœ¯å§”å‘˜ä¼šä¸»å¸ã€‚ å°é©¬æ™ºè¡Œç”±å‰ç™¾åº¦é¦–å¸æž¶æž„师（T11）å½å†›è”手百度å²ä¸Šæœ€å¹´è½»çš„T10楼教主共åŒåˆ›ç«‹ï¼Œæ¸…åŽå¤§å¦å§šæœŸæ™ºé™¢å£«æ‹…任公å¸é¦–å¸é¡¾é—®ï¼Œæ—¨åœ¨ä¸ºå…¨çƒæ供最先进ã€æœ€å®‰å…¨ã€æœ€å¯é 的自动驾驶技术。å°é©¬æ™ºè¡Œæ‹›æ½è¿‘80ä½é¡¶å°–技术人æ‰ï¼Œå…¶ä¸50%ä»¥ä¸Šç ”å‘人员拥有顶级自动驾驶公å¸å·¥ä½œç»éªŒï¼Œ100%ç ”å‘人员拥有顶级互è”网公å¸å·¥ä½œç»éªŒã€‚å…¬å¸äºŽ2017å¹´6æœˆèŽ·å¾—åŠ å·žè·¯æµ‹è®¸å¯è¯ï¼Œåœ¨å…¬å¼€å¸‚内é“路上实现24å°æ—¶ç™½å¤©é»‘夜人车混æµå…¨è‡ªåŠ¨æ— 人驾驶，并æˆä¸ºå…¨çƒé¦–家æˆç«‹åŠå¹´å³å®žçŽ°æ— 人驾驶覆盖10平方公里城区范围的公å¸ã€‚å°é©¬æ™ºè¡ŒèŽ·å¾—红æ‰èµ„本ã€IDG资本ç‰ä¸–界顶级基金é’ç，在A轮获得过亿美金èžèµ„，并和广汽ã€Velodyneç‰äº§ä¸šé“¾ä¸Šçš„å…¬å¸è¿›è¡Œæ·±åº¦åˆä½œï¼Œç»§ç»å‘ä¸–ç•Œé¡¶å°–çš„æ— äººé©¾é©¶å…¬å¸Waymoå‘起挑战。 æŽå¿—飞，人工智能科技公å¸â€œå‡ºé—¨é—®é—®â€åˆ›å§‹äººã€CEO。人工智能领域专家。美国约翰éœæ™®é‡‘斯大å¦è®¡ç®—机系åšå£«ã€‚å‰è°·æŒæ€»éƒ¨ç§‘å¦å®¶ã€‚世界主æµå¼€æºæœºå™¨ç¿»è¯‘软件Joshua主è¦å¼€å‘者。åšå£«æ¯•ä¸šåŽï¼ŒæŽå¿—飞在谷æŒæ€»éƒ¨ä»Žäº‹æœºå™¨ç¿»è¯‘ç ”ç©¶å’Œå¼€å‘工作，主è¦å¼€å‘了谷æŒæ‰‹æœºç¦»çº¿ç¿»è¯‘系统。 2012年，æŽå¿—飞获得红æ‰èµ„æœ¬å’ŒçœŸæ ¼åŸºé‡‘çš„å¤©ä½¿æŠ•èµ„ï¼Œåˆ›åŠžå‡ºé—¨é—®é—®ã€‚å¬é›†æ¥è‡ªæ–¯å¦ç¦ã€é©¬é‡Œå…°ã€MIT，以åŠæ¸…åŽã€åŒ—大ç‰è‘—åé«˜æ ¡å·¥ç¨‹å¸ˆï¼Œç»„å»ºäº†â€œå‡ºé—¨é—®é—®â€æ ¸å¿ƒåˆ›å§‹å›¢é˜Ÿï¼Œä»Ž0到1æž„ç‘èµ·è¯éŸ³è¯†åˆ«ã€è¯ä¹‰ç†è§£ã€å¯¹è¯ç®¡ç†ã€åž‚ç›´æœç´¢ã€è®¡ç®—机视觉和机器人SLAMç‰æ ¸å¿ƒæŠ€æœ¯åŸºç¡€ï¼Œå¹¶å°†å…¶åº”用于智能å¯ç©¿æˆ´ã€æ™ºèƒ½è½¦è½½ã€æ™ºèƒ½å®¶å±…ç‰å¤šä¸ªåœºæ™¯ï¼Œè®©äººå·¥æ™ºèƒ½æŠ€æœ¯å¾—以真æ£æœåŠ¡äºŽæ¯ä¸€ä¸ªæ™®é€šäººçš„日常生活。 出门问问是由谷æŒã€å¤§ä¼—汽车投资的人工智能公å¸ã€‚致力于以人工智能技术为ä¸å¿ƒï¼Œé€šè¿‡è½¯ç¡¬ä»¶ç»“åˆäº§å“å°†AIè½åœ°åˆ°äººçš„生活场景。公å¸æ‹¥æœ‰å…¨æ ˆå¼çš„软硬件团队æ¥æ‰“é€ æ¶ˆè´¹çº§ä¸Žä¼ä¸šçº§çš„人工智能产å“，如问问手表Ticwatch系列，问问é”é•œTicmirror，问问音箱Tichome。所有产å“æ载出门问问人工智能虚拟个人助ç†VPA，æˆä¸ºäº†è¦†ç›–家居ã€è½¦è½½ã€å¯ç©¿æˆ´ç‰å…¨åœºæ™¯å¼ºè”动的ä¸æ–‡è™šæ‹Ÿä¸ªäººåŠ©ç†æ供者。至2017å¹´4月，出门问问共完æˆå…è½®èžèµ„，投资方包括红æ‰èµ„本ã€çœŸæ ¼åŸºé‡‘ã€SIG海纳亚洲ã€åœ†ç¾Žå…‰ç”µã€æŒå°”声å¦002241 ,è‚¡å§ã€Googleã€å¤§ä¼—汽车集团，累计èžèµ„é¢è¶…2.55亿美元。 å¾ç«‹åšå£«ï¼Œå•†æ±¤ç§‘技è”åˆåˆ›å§‹äººã€CEO。在他的带领下，商汤科技在人工智能å¦æœ¯ç ”å‘和商业拓展ç‰æ–¹é¢å‡å–得多项çªç ´ï¼ŒåŒ…括在ImageNet 2015上æˆä¸ºé¦–æ”¯å¤ºå† çš„ä¸å›½ä¼ä¸šï¼Œåœ¨2016年获得ImageNet 3个å•é¡¹å† 军，并推动超过400家客户的“人工智能+â€å‡çº§ã€‚ 商汤科技专注于计算机视觉和深度å¦ä¹ 的原创技术，是ä¸å›½é¢†å…ˆçš„人工智能平å°å…¬å¸ï¼Œä¼°å€¼è¶…过30äº¿ç¾Žé‡‘ã€‚å•†æ±¤ç§‘æŠ€å»ºç«‹äº†å›½å†…é¡¶çº§çš„è‡ªä¸»ç ”å‘的深度å¦ä¹ 超算ä¸å¿ƒï¼Œå¹¶æˆä¸ºä¸å›½ä¸€æµçš„人工智能算法供应商。目å‰å·²ä¸Žå›½å†…外400多家知åä¼ä¸šåŠæœºæž„建立åˆä½œï¼ŒåŒ…括美国麻çœç†å·¥å¦é™¢ã€Qualcommã€è‹±ä¼Ÿè¾¾ã€æœ¬ç”°ã€ä¸å›½ç§»åŠ¨ã€é“¶è”ã€ä¸‡è¾¾ã€è‹å®ã€æµ·èˆªã€ä¸å¤®ç½‘信办ã€åŽä¸ºã€å°ç±³ã€OPPOã€vivoã€å¾®åšã€ç§‘大讯飞002230 ,è‚¡å§ç‰ï¼Œæ¶µç›–安防ã€é‡‘èžã€æ™ºèƒ½æ‰‹æœºã€ç§»åŠ¨äº’è”网ã€æ±½è½¦ã€æ™ºæ…§é›¶å”®ã€æœºå™¨äººç‰è¯¸å¤šè¡Œä¸šã€‚ 朱ç‘ï¼Œç¾Žå›½åŠ å·žå¤§å¦æ´›æ‰çŸ¶åˆ†æ ¡ï¼ˆUCLA）获统计å¦åšå£«ã€‚师从éœé‡‘的弟å艾伦· 尤尔（Alan Yuilleï¼‰æ•™æŽˆã€‚ä»Žäº‹è®¡ç®—æœºè§†è§‰çš„ç»Ÿè®¡å»ºæ¨¡å’Œäººå·¥æ™ºèƒ½çš„ç ”ç©¶ã€‚éº»çœç†å·¥å¦é™¢äººå·¥æ™ºèƒ½å®žéªŒå®¤æ‹…ä»»åšå£«åŽç ”ç©¶å‘˜ï¼Œæ·±å…¥ç ”ç©¶å¤§è„‘ç§‘å¦å’Œè®¡ç®—æ‘„å½±å¦ï¼›çº½çº¦å¤§å¦æ·±åº¦å¦ä¹ 鼻祖Yann LeCunçš„Courantæ•°å¦ç ”ç©¶æ‰€æ‹…ä»»ç ”ç©¶å‘˜ã€‚ ä¾å›¾ç§‘技，创立于2012å¹´9æœˆï¼Œè‡´åŠ›äºŽäººå·¥æ™ºèƒ½åˆ›æ–°æ€§ç ”ç©¶ï¼Œå°†å…ˆè¿›çš„äººå·¥æ™ºèƒ½æŠ€æœ¯ä¸Žè¡Œä¸šåº”ç”¨ç›¸ç»“åˆï¼Œå»ºè®¾æ›´åŠ 安全ã€å¥åº·ã€ä¾¿åˆ©çš„世界。ä¾å›¾çœŸæ£è®©äººå·¥æ™ºèƒ½æŠ€æœ¯è½åœ°ï¼Œå¹¶æœåŠ¡åŸŽå¸‚公共安全ã€åŒ»ç–—å¥åº·ã€é‡‘èžç‰ä¼—多领域。今天的ä¾å›¾äººè„¸è¯†åˆ«æŠ€æœ¯å·²çªç ´äº¿çº§é™æ€æ¯”对，æ建了全çƒé¦–个å亿级人åƒæ¯”对系统，并æœåŠ¡é‡‘ç –å›½å®¶å³°ä¼šã€åšé³Œäºšæ´²è®ºå›ã€å…¨è¿ä¼šç‰å›½å®¶çº§ä¼šè®®å’Œèµ›äº‹çš„安ä¿å·¥ä½œï¼›ä¾å›¾åŒ»ç–—智能辅助诊æ–系统已在上海ã€æµ™æ±Ÿç‰æ•°å家三甲医院临床应用。ä¾å›¾æŠ•èµ„了AI制è¯å…¬å¸AccutarBioå’ŒAI芯片公å¸ThinkForce，并在美国ã€æ–°åŠ å¡ã€è‹±å›½ç‰æµ·å¤–设立办事处机构。 周剑，优必选创始人兼CEO，悉尼大å¦AI人工智能ä¸å¿ƒå®¢åº§æ•™æŽˆï¼Œæ·±åœ³å›½é™…商会副会长，深圳国际商会é’年委员会委员，深圳机器人å会副ç†äº‹é•¿ã€‚2012年创立优必选公å¸ï¼ŒæŒç»æŽ¨å‡ºæ™ºèƒ½æœºå™¨äººäº§å“，å¸å¼•äº†ä¼—å¤šæŠ•èµ„æœºæž„åŠ ç›Ÿã€‚åœ¨å‘¨å‰‘çš„å¸¦é¢†ä¸‹ï¼Œä¼˜å¿…é€‰åšæŒâ€œCOOå…»CTOâ€çš„战略，积æžå¸ƒå±€äººå·¥æ™ºèƒ½åœ¨æœºå™¨äººäº§ä¸šçš„è½åœ°å’Œå‘展，推动行业å‘展。 优必选æˆç«‹äºŽ2012å¹´ï¼Œæ˜¯ä¸€å®¶é›†äººå·¥æ™ºèƒ½å’Œäººå½¢æœºå™¨äººç ”å‘ã€å¹³å°è½¯ä»¶å¼€å‘è¿ç”¨åŠäº§å“销售为一体的全çƒæ€§é«˜ç§‘技ä¼ä¸šã€‚2008å¹´ï¼Œä¼˜å¿…é€‰ä»Žäººå½¢æœºå™¨äººçš„æ ¸å¿ƒæºåŠ¨åŠ›ä¼ºæœèˆµæœºç ”å‘èµ·æ¥ï¼Œé€æ¥æŽ¨å‡ºäº†æ¶ˆè´¹çº§äººå½¢æœºå™¨äººAlpha系列，STEM教育智能编程机器人Jimu，智能云平å°å•†ç”¨æœåŠ¡æœºå™¨äººCruzr，与亚马逊åˆä½œæŽ¨å‡ºäº†é¦–款基于Alexaè¯éŸ³åŠ©ç†çš„人形机器人Lynx，与腾讯åˆä½œæŽ¨å‡ºäº†Qrobot Alphaã€Alpha Ebot，与迪士尼åˆä½œæŽ¨å‡ºäº†ç¬¬ä¸€å†›å›¢å†²é”‹é˜Ÿå‘˜æœºå™¨äººç‰å¤šæ¬¾äº§å“，并æˆåŠŸå…¥é©»å…¨çƒApple Store零售店。2017年，优必选估值40亿美元。 本文首å‘于微信公众å·ï¼šæ–°æ™ºå…ƒã€‚ The content of the article belongs to the author's personal opinion and does not represent the position of Hexun.com. Investors should act accordingly, at their own risk. （责任编辑：æŽå…´æ—ºHF015） 
![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/66/ca/b2/c3b479d9cb72bdbe41ade9bc39.jpg)
On March 29th, at the 2018 Xinzhiyuan Industry·Driving AI Technology Summit, the “2018 Xinzhiyuan Artificial Intelligence Entrepreneur†Top20 list was finally unveiled and won the 2018 Xinzhiyuan Artificial Intelligence Entrepreneur Award. 20 entrepreneurial heroes are (in no particular order): 
![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/26/25/e0/5ef3be0041e226beef6a1ab303.jpg)
Among them, the search data comes from the top 5 search platforms: Google, Baidu, Sogou, Bing and China Search. The news data comes from today's headlines, Tencent, Weibo, WeChat, Sina.com, Sohu, NetEase and Yahoo. . 
According to CB Insight's data, China's AI startups have surpassed the US and are the world's largest AI entrepreneurial destination. But as we all know, entrepreneurship is difficult and success is not easy. 
Wu Gansha, the entrepreneur's representative and co-founder and CEO of the company, is an old friend of Xinzhiyuan, and also participated in the Super Smart Age Conference held by Xinzhiyuan in 2016. Wu Gansha’s speech titled “Heavily Light Roots, Quietness is Jun Junâ€, this sentence is taken from Laozi’s Tao Te Ching, meaning that the weight is the basis of rashness, and the static is the master of incitement. 
We need the interlocking Plan, from the niche to the masses, from high price to low price, and gradually get large-scale verification, and from easy to difficult, the risk gradually increases. We chose a unique path, the low-speed L4 to limit the scene, and then further explore the non-carrying situation, so that the system is gradually verified and the first to be commercialized without being discounted. 
Yao Jian, co-founder and CEO of Shen Jian Technology, shared the new thinking of the AI ​​chip industry. 
Everyone likes to call us an AI chip company. We are actually an AI system company with a chip as its core. For the AI ​​chip industry, let me say a few things. 
Deng Yu, founder of DaDian Medical, discussed the business model of cutting-edge technology in the field of medical AI. ![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/ff/11/73/9efd20c93df271563d87ac517e.jpg)
Our technical route is four steps: 
Assistant to come to co-founder and CEO Wang Guanchun, summed up his exploration in the intelligent assistant industry as "homeopathic, intelligent assistant business landing." ![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/b3/44/a1/065c1bc48e8fde8ca11b134d60.jpg)
Recently there is a very hot saying that the mobile Internet does not have a second half, and some are just WeChat Internet. In fact, last year I shared a point of view at the new AI Technology Summit. Today, in the era of smartphone mobile Internet, WeChat is like the browser in the PC Internet era, and is the entry-level application closest to the operating system. We have seen that many companies have already given up the APP to become WeChat public number and small programs. Many companies let their business personnel directly provide services to customers on WeChat. This conversion rate is very high. If there is good technology today, there are scenes where WeChat is more suitable than smart home or driverless, and it will be the battlefield we focus on. 
Chai Xiangfei also participated in the new AI Technology Summit for the second time. He introduced the new milestone of Huiyi Huiying from last year to now. Artificial intelligence in medical imaging from 1.0 to AI2.0. ![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/b8/ec/e3/bd54edc91a40c200014c786723.jpg)
This is a typical example. We have been working with 301 Hospital Vascular Surgery for more than a year. It is expected that this product will be officially released on April 20th. Aortic dissection is the most dangerous disease in aortic disease, prognosis. Very poor, how to accurately measure the aortic dissection and prognosis prediction, what kind of treatment plan to choose, the position of the stent should be the size, the size of the stent, etc., according to the possible follow-up of this treatment plan can make the whole process decision. Through verification, this decision has exceeded the level of the general practitioner, the accuracy is far beyond the conventional manual measurement, and also provides prognostic prediction results of aortic dilation and composite end point events. About 50% of patients die 48 hours after onset, and about 90% of patients die within 1 month of onset. Clinically, early death is often caused by missed diagnosis or misdiagnosis. It has always been called “catastrophic diseaseâ€. Through our judgment, we can basically reach the level of accurate judgment and prediction of 301 hospitals, that is, reduce the 40% of the five years to 15%, which can further deepen the medical scene and decision-making process. 
![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/5a/f2/87/bc66b34accacaa1e8967f742b3.jpg)
Zhou Yunyun from the founder of technology ![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/ef/96/38/52dadd6b6c8e0297e6f355b30a.jpg)
Yu Kai horizon founder and CEO ![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/ce/aa/1f/ca7be835863c009de026745674.jpg)
Inch & Co. Founder and CEO of Face++ ![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/a2/ed/25/3861a82143531ae06763dda66e.jpg)
Jenck Tuanbitu CEO ![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/a4/0e/a8/7088c77f5cc6ebcdf914e47eb3.jpg)
Founder and CEO of Chai Xiang Fei Hui Medical Huiying ![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/eb/47/5c/3ebdb586f30c15e9737c34a1e0.jpg)
Assistant Manager Wang Guanchun also co-founder and CEO ![[AI do review] 2018 new wisdom yuan artificial intelligence entrepreneur Top20 list is announced!](http://i.bosscdn.com/blog/6b/c8/63/e6bb61d754820263a1d750f673.jpg)
Wu Gansha co-founder and CEO 
姚颂深鉴科技è”åˆåˆ›å§‹äººå…¼CEO 
邓侃大数医达创始人
å¼ å¤©é›·ä¸»çº¿ç§‘æŠ€CEO 
陈天石寒æ¦çºªåˆ›å§‹äººå…¼CEO 
顾嘉唯物çµç§‘技CEOã€è”åˆåˆ›å§‹äºº 
韩æ—景驰科技CEO 
黄伟云知声创始人兼CEO 
æŽæ–Œè”šæ¥åˆ›å§‹äººã€è‘£äº‹é•¿ 
楼天城å°é©¬æ™ºè¡Œåˆ›å§‹äººå…¼é¦–å¸æŠ€æœ¯å®˜ 
æŽå¿—飞出门问问创始人兼CEO 
å¾ç«‹å•†æ±¤ç§‘技è”åˆåˆ›å§‹äººå…¼CEO 
朱ç‘ä¾å›¾ç§‘技è”åˆåˆ›å§‹äººå…¼CEO 
周剑优必选创始人兼CEO