Alibaba Cloud offers AI and cloud services to help battle COVID-19 worldwide
The artificial intelligence-enhanced innovations are based on learnings and insights gathered during the initial outbreak of the virus.
Alibaba Cloud said today it has offered medical personnel around the world advanced cloud-based technology applications in the fight against the COVID-19 pandemic.
The series of cloud-native anti-coronavirus solutions stem from joint efforts of Alibaba Cloud’s solution experts, scientists and researchers from Alibaba DAMO Academy and the technical team at DingTalk, one of the platforms UNESCO has tabbed as facilitating distance learning during the coronavirus outbreak.
The team has launched DingTalk’s International Medical Expert Communication Platform, hosted on Alibaba Cloud, to provide a means of free communication for medical workers all over the world to directly contact doctors from medical institutions such as the First Affiliated Hospital of Zhejiang University and others in China, who have been on the frontline of the COVID-19 battle.
Alibaba Cloud aims to build a virtual community, inviting Chinese doctors to share their experiences and answer questions from global peers, through video conferencing and real-time AI translation into 11 languages (Arabic, Bahasa, Chinese, English, French, Japanese, Russian, Spanish, Thai, Turkish, and Vietnamese).
Time is precious, but news has no time. Sign up today to receive daily free updates in your email box from the Data Economy Newsroom.
From research initiative Alibaba DAMO Academy, three proven solutions are being made available via free trial for medical professionals and research institutes worldwide.
Alibaba Cloud has revealed that it will work with local partners to deploy relevant services and solutions in accordance with local laws and regulations.
Epidemic Prediction Solution models epidemic characteristics of COVID-19 in a particular region, providing estimates of size, peak time and duration of the epidemic, as well as the spreading trends under three conditions – optimistic, neutral, and pessimistic.
Based on machine learning, the algorithm was tested on the data from 31 provinces in China and averaged 98% accuracy.
Read the latest from the Data Economy Newsroom: