After the outbreak of pneumonia caused by a new type of coronavirus, a number of artificial intelligence technologies have played a role in preventing and combating the epidemic in China. Some of them were urgently involved to help contain the spread of the epidemic.
For example, intelligent identification technologies are able to quickly recognize potential patients in conditions of high density of human flow. According to the Ministry of Industry and Information Technology of China on February 6, many companies use technology of deep learning, artificial intelligence, image recognition to activate infrared imagers to increase the efficiency of temperature measurement and the accuracy of detection of persons with abnormal body temperature. This allows automatic intelligent measurement of body temperature in public places.
During the epidemic, Alibaba will provide its AI capabilities and research facilities to government research institutions around the world for free to accelerate the development of new drugs and vaccines for pneumonia caused by a new type of coronavirus.
During the prevention and control of the epidemic, intelligent robots “entered the service” in many hospitals, which effectively reduces the risk of cross infections. Intelligent disinfection robots developed by Shanghai-based TMiRob have begun working in the hospitals in Wuhan and Shanghai. Smart machines perform disinfection tasks around the clock in isolation wards, intensive care units, operating rooms, and outpatient departments. They help reduce the risks of cross-contamination and ensure the safety of medical staff.
Wuhan Tongji Tian Hospital and Shanghai 6th People’s Hospital delivered 5G temperature-checking robots jointly developed by the Cloudminds science and technology company and China Mobile. A 5G-enabled robot measures temperature using infrared body temperature control devices and other sensors. In case of detection of persons with abnormal body temperature, the device gives an alarm.
Big data can track the epidemic. Tech companies such as Megvii, CloudWalk, Intellifusion, Tencent, Iflytech, Sogou, Inspur, 4Paradigm, JD Digits, using big data mining to track people’s movements and using multivariate analysis and modeling, are building a multidimensional machine learning model to predict infection risks .
Iflytech Provided Prov. Hubei smart classes, namely, a live online learning system. On February 2, 175 schools connected to this system, a total of 220 thousand students attended the classes, the maximum number of students who simultaneously listened to online lessons was 100 thousand.