On March 29, Alibaba Cloud announced the launch of the "ET Medical Brain" and the "ET Industrial Brain." The former is positioned as a doctor's assistant, and the latter is mainly dedicated to improving the yield of industrial production lines. At present, Alibaba Cloud already has several customers in the above two areas. Next, both parties will jointly explore solutions based on artificial intelligence. However, Alibaba Cloud's attempt to place artificial intelligence in the industry has only just begun.
Alibaba Cloud President Hu Xiaoming told the 21st Century Business Herald reporter that “More and more large corporations, medical institutions and financial institutions are thawing the Internet and artificial intelligence.â€
Explore landing in multiple industries
Li Jin, senior product director of Alibaba Cloud, said that the amount of image and video data generated by hospitals due to PAI and CT each day is already equal to the amount of data needed to produce a movie. However, a large amount of data has hardly been collected in the past long time. Save and online.
On March 29, Alibaba Cloud ET (Aliyun Artificial Intelligence Brand) announced the launch of “medical brains†and “industrial brainsâ€. The former is positioned as a doctor's assistant and currently provides support in areas such as patient virtual assistants, medical imaging, and precision medical services. Drug efficacy excavation, new drug research and development, etc. The latter is committed to improving the yield rate of industrial production lines.
On the same day, Alibaba Cloud announced two batches of medical customers, including traditional medical institutions including Guangzhou Medical University, and Huali Gene, a company in which Alibaba Cloud had previously cooperated. It is reported that Alibaba Cloud's "medical brain" will take the lead in "seeing the film" application: Through the iteration of the algorithm, the speed of viewing the patient's body photo will be upgraded to second.
Behind the power of AI to enter medical care is the demand for computing in the medical field. “The fact that Chinese hospitals are motionless is the diagnosis and treatment of thousands of beds. Every day, two or three hundred patients take CT, and more and more information is taken.†He Jianxing, dean of the First Hospital of Guangzhou Medical University, said that the future of artificial intelligence is expected to help. The doctor reduced the misdiagnosis rate.
He Jianxing believes that artificial intelligence is currently taking the lead in improving the application efficiency in the medical field, and in the long term, it is committed to improving the narrow scope of application and changing structured data. In addition, “combining data and experience to help doctors create new experiences.†To put it simply, artificial intelligence capabilities are “empowered†by doctors.
"The big value of the algorithm is that it can find all the suspected problems, and then let the artificial review, in order to do nothing." Ariyun artificial intelligence scientist Zhao Wanli told reporters. Hu Xiaoming also stated that "Aliyun hopes that machine intelligence will become a helper for human beings." This can be used to generalize the position of Alibaba Cloud's ability to land AI.
The reporter was informed that in addition to medical care, companies currently cooperating with Alibaba Cloud ET include Xugong Group, Zhongce Rubber and Geely. As early as August 2016, ET began to enter the slice production workshop of the domestic giant energy giant GCL Solar. The work flow of ET was to take the data of all the ports of the standardized workshop into the industrial brain, and to study the associated parameters through artificial intelligence algorithms. The calculation accurately analyzes the 60 key parameters most relevant to yield, and sets up the parameter curve to monitor and control variables in real time during the production process.
Alibaba Cloud is advancing in all major vertical industries with a simple logic: online data-integrated computing capabilities to create new value. Aliyun said that the next step will be to explore artificial intelligence in new energy, chemicals, environmental protection, automotive, light industry, heavy industry and other fields.
Industrial applications can not be separated from the ground floor technical support. On March 29, Alibaba Cloud announced that its PAI, a machine learning platform, had a 2.0 upgrade. "In terms of deep learning, we support the TensorFlow, CAFFE, and MXNET frameworks. These frameworks are highly compatible with open source interfaces. Developers can select the most appropriate artificial intelligence development framework according to their preferences," said Zhou Jingren, chief scientist at Ali Cloud.
On the same day, Alibaba Cloud also announced that its "North China III" data center reduced its price by a maximum of 35%. Li Jin told reporters that at present, North China is currently one of the most efficient and green data centers in China.
“All changes in the industry are due to the current downward pressure on the cloud computing industry.†Li Jin told reporters that in the past few years Amazon, Microsoft and Google have invested billions and even billions of dollars in cloud services. At the same time, the traditional X86 server market experienced a decline in 2016, and the industry chain is being restructured.
Data "thaw"
For the medical brain launched this time, Alibaba Cloud, in cooperation with Intel and Zero Tech, launched the Tianchi Medical AI Contest. Among them, Intel provides processors, deep learning algorithm libraries, and deep learning framework software. Zerotech Technology, on the other hand, is responsible for providing HD chest CT scan image data desensitized and labeled by experts.
In the Tianchi Medical AI Contest, Nutritech played the role of a data provider, relying on the fact that the company had been using online data such as medical records of hospitals for online data and returning patients. "Third-party (Zero Technology) data for us for free, we can better conduct scientific research after obtaining the data." Sun Xun, director of thoracic surgery at Tianjin Chest Hospital, told reporters.
At present, Alibaba Cloud still depends on some third parties in obtaining industry-structured data. However, Alibaba Cloud has the opportunity to try to enter more industries. One of the trends behind it is the “thaw†of data of some companies.
Hu Xiaoming told reporters that more and more state-owned enterprises have invested in embracing cloud computing in the past year. The direct result is that in the current revenue source of Alibaba Cloud, government revenue has maintained rapid growth. At present, Alibaba Cloud's list of state-owned enterprises includes customers. Sinopec, PetroChina, China Post, etc. "Corresponding to this is that a large number of private enterprises are still lack of control of the technology foresight." Hu Xiaoming said.
For Alibaba Cloud, serving a corporate client needs to be prepared in advance, such as understanding traditional manufacturing methods. This is a time-consuming and laborious chore for Alibaba Cloud. However, Wan Wanli believes that although the industries involved are different in the application of artificial intelligence in the industrial field, “the core logic behind is the sameâ€. Therefore, providing solutions to different industries is inherently versatile.
However, in the field of data, artificial intelligence in the field of medical and other fields still faces data monitoring problems.
Sun Xun told the 21st Century Business Herald reporter that “at present, medical regulations on data are still lagging behind, and there is still no basis for the implementation of the data in the local departments.†For example, whether the hospital's data can be put on the cloud is still blank in the field. .
“At present, we define the ownership of data as the department of return.†Sun Xun told reporters that the current hospital's data standards are “independentâ€, that is, other hospitals cannot interrogate the data of this department. This department will require third parties to ensure data security.
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