Ali's ambition is huge, and he can know from his plan to establish the Alidar House. Ali is concerned about the present and developing the future. Ma Yun once said that even if Alibaba is gone, the Alidar House will still exist. This year, it can be regarded as the beginning of the second 60 years of artificial intelligence technology, and Ali has already begun to lay out.
2017 is the beginning of the second 60 years of global artificial intelligence. Compared with artificial intelligence more than a decade ago, today's artificial intelligence is more data-driven. The previous artificial intelligence was a manually written expert system, which was intelligently guided by “manualâ€. The level of system processing did not exceed the program itself; now the artificial intelligence is the intelligence of data guidance, and the progress of the program every day has begun to surpass. The limit of humanity, this is the "singularity effect" of artificial intelligence. In the second 60 years of artificial intelligence, who can master more real and real economic data, who is the winner of the new 60 years of artificial intelligence.
At the Ali Yunqi Conference in October 2016, Ma Yun proposed the “new real economyâ€. The “new real economy†is centered on consumers and connects hundreds of millions of consumers directly with enterprises through new technology platforms to achieve personalized and customized manufacturing and commodity circulation. The emergence of “new real economy†has promoted the comprehensive online access of offline data. On the other hand, the combination of online data and offline data has formed new types of big data, especially the combination of industrial and industrial data. It is the breakthrough point of artificial intelligence in the real business world.
On March 29, 2017, at the first Alibaba Cloud Summit in Shenzhen in 2017, Alibaba Cloud President Hu Xiaoming announced that Alibaba Cloud is opening a new journey: the road to intelligence.
Ali has long been in artificial intelligence layoutAli can be said to be eager to get artificial intelligence. On February 21, 2017, the US authoritative science magazine MIT Technology Review released the list of the world's top 10 breakthrough technologies in 2017. Alibaba was selected as one of the two breakthrough technology lists of “Enhanced Learning†and “Painting Face Paymentâ€, as well as technology giants such as Google, Microsoft and IBM.
According to the MIT Technology Review, the accuracy of face recognition technology in China has reached the level of financial transactions, and face payment has entered maturity. Alibaba's affiliated company Ant Financial, which led the development of this technology, used Alien's face recognition technology for user login, real-name authentication, password recovery, payment risk verification, etc. It has been used by nearly 120 million users. Ali's technical achievements in the field of “enhanced learning†are also related to his own business practices. For example, the intensive learning technology has increased the mobile phone user click rate by 10-20% in the Ali Double 11 recommendation scenario.
“Strengthening learning†and “brushing face payment†are just the tip of the iceberg of Ali's artificial intelligence layout. Ali's overall attitude towards artificial intelligence, Alibaba Cloud President Hu Xiaoming expressed very clear at the Ali Yunqi Conference·Beijing Summit in August 2016: “With the accumulation of data, the machine will replace the human IQ. We believe that human beings will definitely Entering the data age, we believe that human beings will enter the era of artificial intelligence."
In general, Ali's layout in artificial intelligence can be divided into four levels: one is to train and incubate artificial intelligence technology in its own business scenarios; the other is to use Alibaba Cloud's external output and obtain feedback from enterprises using Ali artificial intelligence technology; The third is to further expand the application scenarios of artificial intelligence and acquire various types of commercial big data through the ecology of partners; the fourth is to cooperate with scientific research institutions to develop more forward-looking artificial intelligence technologies, such as quantum computing in cooperation with the Chinese Academy of Sciences.
“Strengthening learning†and “brushing face payment†are representatives of exercise and incubation artificial intelligence technology in Ali's own business scene. Artificial intelligence technology is still supporting the selection of goods, information browsing, personalized recommendation, etc. of hundreds of millions of users on mobile phones every day. Tasks, especially to do thousands of people, that is, every user opened the hand is a personalized interface, which is a great challenge to artificial intelligence technology. These well-tested technologies are exported to the whole world via Alibaba Cloud. This is the Alibaba Cloud Artificial Intelligence "brain" ET launched in August last year, and the big data "digital plus" platform launched in January 2016.
Zhou Jingren, chief scientist of Alibaba Cloud, said that Alibaba's multiple artificial intelligence technologies are used behind ET, especially natural language recognition, real-time video analysis, speech recognition and speech synthesis, human-computer interaction, knowledge maps, etc., but more important. It is the use of big data technology. Alibaba Cloud's one-stop big data platform "number plus", open data acquisition, computing engine, data processing, data analysis, machine learning, data applications and other data production chain, is the basis of Ali artificial intelligence.
Zhou Jingren emphasized that artificial intelligence and big data complement each other, depend on each other and promote each other. Alibaba Group and Alibaba Cloud CTO Zhang Jianfeng also said last year that both artificial intelligence and other cutting-edge technologies are inseparable from high-quality data, powerful computing platforms and efficient algorithm platforms. Only a combination of the three can truly achieve breakthroughs.
New entity data opens the door to "NASA"
On March 9, 2017, Alibaba Group held its first technical conference in Hangzhou, mobilizing more than 20,000 scientists and engineers from around the world to participate in the “new technology strategyâ€: Alibaba’s “NASA†plan – building a strong future for the next 20 years The independent R&D department has established a new mechanism to reserve core technology for the new economy serving 2 billion people.
Although Ali has not revealed how the "NASA" plan will be implemented so far, it is certain that data, especially new entity data, will be the key to opening the "NASA" door. Ma Yun said at the first Ali Technology Conference that Wal-Mart had 2.3 million sales when it had 3 trillion sales, and Ali had less than 10,000 employees when it reached 3.7 trillion transactions. Ali used 10,000 people to do what Wal-Mart did for 2.3 million people in 60 years. This is both the power of new technology and the energy of new data.
At the 2017 Yunqi Conference Shenzhen Summit, Hu Xiaoming said that in July last year, SAIC and Ali came together to jointly release the first Internet car equipped with the YunOS Auto operating system. The Internet car has been on the road for 7 months and has brought nearly 11.7 billion trajectory points. It can be seen that the maps drawn by the route trajectory are making China's map positioning more and more accurate. At the same time, all the cars on the road are constantly collecting road and PM2.5 values, trying to create new data values.
At the 2017 Yunqi Conference Shenzhen Summit, Alibaba Cloud also officially released the ET Industrial Brain and ET Medical Brain. In the industrial sector, the application of artificial intelligence technology to industrial production is more complex. From the data alone, the speed of a civil turbofan engine can reach 30,000 rpm, and the number of rotations of different types of turbine engines is different, which is equivalent to generating a large number of different standards within one minute.
At present, ET has settled in the slicing production workshop of the domestic large energy giant GCL Solar. The first step of ET work is to transfer the data of all ports in the standardization workshop to the industrial brain, and then carry out deep learning calculation for all related parameters through artificial intelligence algorithm, accurately analyze the 60 key parameters most relevant to the yield rate and build the parameter curve. Monitor and control variables in real time during production. At present, with the help of the ET industrial brain, the production yield of GCL Solar has increased by 1 percentage point, saving annual production costs of hundreds of millions of yuan.
The development of the ET medical brain is heavily based on deep learning techniques, using massive amounts of data as an example to train machines to perform specific tasks, such as computer learning of case data to improve medical skills. After more than one year of research and training, artificial intelligence ET has a number of medical capabilities, and can assume the role of doctor assistant in the fields of patient virtual assistant, medical imaging, precision medicine, drug extraction, new drug research and development, and health management.
Zhejiang Deshang Yunxing scientists are the developers of intelligent diagnostic algorithms for ultrasound thyroid nodules. They use deep learning to process ultrasound images and incorporate the concepts of modern mathematics such as rotational invariance. With computer vision technology, this algorithm can quickly scan and analyze the thyroid B-ultrasound, circle the nodule area and give a benign and malignant judgment. In general, the accuracy rate of human doctors is 60%-70%, and the accuracy of the current algorithm has reached 85%. The algorithm is now integrated into the ET medical brain and piloted in several hospitals.
ET has also been applied to urban governance. The city data brain of Hangzhou is in the pilot stage. Through visual data analysis, mobile data analysis, and bus information analysis, ET will command the traffic light configuration. After the adjustment, the traffic smoothing rate of some sections of Hangzhou increased by 11%. Similarly, Guangzhou uses the Internet + traffic light data to make the city more open. Through Alibaba Cloud's artificial intelligence technology and map technology, Guangzhou City helped reduce the congestion index by 19%. In Guangzhou, there are nearly 1200 intersections using ET brains.
With 24 hours of sleep and tens of thousands of tasks at the same time, ET's learning progress is much faster than humans. Big data from the new real economy is the singularity of ET evolution.
Alibaba Cloud Machine Learning PAI: Efficient Algorithm PlatformIn data, technology and algorithms, Ali has been investing in core basic technologies such as ultra-large-scale computing operating systems, mobile operating systems, financial-grade distributed databases, and machine learning platforms for nearly 10 years, through ET industry, medical and urban brains. And Internet cars, etc., Ali is accumulating new real economic data.
In terms of algorithm platform, Alibaba Cloud 2017 Yunqi Conference Shenzhen Summit officially released the machine learning platform PAI2.0, with a richer algorithm library, more large-scale data training and fully compatible open source platform products, let artificial intelligence technology change Developers only need Torah to visualize the development of inclusive technology.
According to Zhou Jingren, Alibaba Cloud Machine Learning Platform PAI 2.0 includes a wealth of algorithms. In addition to data preprocessing, feature selection, and text analysis, it also supports the combination of offline training and online prediction. In terms of deep learning, PAI 2.0 supports TensorFlow, CAFFE, and MXNET frameworks, and developers can choose the most appropriate artificial intelligence development framework according to their own preferences. At the same time, PAI 2.0 also supports a variety of data sources, including unstructured, structured data, to provide a one-stop service.
Liyun provides powerful computing resources for PAI 2.0, including CPU, GPU, FPGA, etc., and can select the appropriate hardware according to the needs of each artificial intelligence. At the same time, Alibaba Cloud PAI 2.0 machine learning platform supports ultra-large-scale training, can analyze a large amount of data in the PB level, and also supports the characteristics of hundreds of billions, can train tera-scale samples.
In 2015, Ali released the PAI 1.0 platform, which has the ability to handle very large data and distributed storage capabilities, while supporting ultra-large-scale modeling and GPU computing. In addition, the platform also has community characteristics, including the sharing of experimental results, community teamwork and so on.
Introduction, the PAI platform reduces the technical threshold by visualizing the interactive interface. Users can easily implement data mining without much experience. Secondly, the embedded algorithms are tempered by Ali inside for many years. And the accuracy rate has been greatly improved; finally, data intelligence, the platform provides a complete process from metadata to model deployment, by providing basic components, users can build solutions in vertical scenarios.
Alibaba Cloud + new entity data + machine learning platform PAI, this is the troika that leads to the road to intelligence. With this troika, Ali has a full confidence in the second 60 years of AI. Of course, "Rome is not built in one day." In the more long-term Ali "NASA" program, cutting-edge technologies such as quantum computing and quantum communication are becoming a reality.
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