\n<\/p>\n
The VinBrain team in the US has reached the final
\nround of the Pandemic Response Challenge held by XPRIZE and Cognizant.<\/i><\/b><\/p>\n
\n
<\/p>\n
This competition, which has prize money of
\n$500,000,\u00a0aims to harness the power of data and artificial intelligence to
\npredict COVID-19 infection rates, and propose Intervention Plans for
\ngovernments, communities and regional institutions to control COVID-19 Pandemic
\nwhen reopening the economy.<\/i><\/b><\/p>\n
\n
<\/p>\n
HANOI, VIETNAM – Media OutReach<\/a> – 24 February 2021 – The Pandemic Response Challenge co-organised by XPRIZE and Cognizant was
Based on the jury’s independent assessment of the AI prediction of the
Thanks to the guidance by Mr. Mudit Jain — the Deputy General Director of
The infection patterns vary by country and territory. As a result,
Members of VinBrain in the US have come up with an extensive solution to
The jury selected Vinteam for the final round based on the accuracy of the
Mr. Amir Banifatemi, General Manager for Innovation and Growth, said: “We
The Pandemic Response Challenge is sponsored by XPRIZE, which designs and
The VinBrain team in the US has reached the final
round of the Pandemic Response Challenge held by XPRIZE and Cognizant.
This competition, which has prize money of
$500,000,\u00a0aims to harness the power of data and artificial intelligence to
predict COVID-19 infection rates, and propose Intervention Plans for
governments, communities and regional institutions …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[60],"tags":[],"_links":{"self":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts\/12596"}],"collection":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/comments?post=12596"}],"version-history":[{"count":0,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts\/12596\/revisions"}],"wp:attachment":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/media?parent=12596"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/categories?post=12596"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/tags?post=12596"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nlaunched in November 2020. Participating teams will develop models based on
\nartificial intelligence to make recommendations to achieve the goal
\nof\u00a0reopening society safely\u00a0and limit negative impacts on the economy
\nwhile minimising\u00a0the SARS-CoV-2 virus outbreak.<\/p>\n
\n
<\/p>\n
\nCOVID-19 trend and the infection patterns of the participating teams, the jury
\nselected 48 teams from 17 countries for the final round out of a total of 104
\nteams from 28 countries in the semi-finals.<\/p>\n
\n
<\/p>\n
\nVinBrain Product Development in the United States, the Vinteam team has
\ndeveloped a solution applying artificial intelligence to the accurate diagnosis
\nof COVID-19 infections and provides intervention options.<\/p>\n
\n
<\/p>\n
\ninterventions may work in one country or territory but be less effective in
\nanother.<\/p>\n
\n
<\/p>\n
\nthis problem by developing the region-specific AI models to predict the
\nCOVID-19 infection time series in those regions. The Vinteam developed this
\nsolution based on a classical epidemic model called the SEIR model,\u00a0 which
\nwas then expanded to integrate with artificial intelligence to turn it into a
\ndynamic model. In order to train its AI models, the team uses available
\nfeatures\/data such as demographics, medical infrastructure, and economic
\nindicators. A special feature used by Vinteam is Google Maps mobile metrics
\ncollected from worldwide Android phones in an anonymous and secure way,
\nmeasuring the movements of people in public areas such as parks, hospitals, workplaces,
\ngrocery stores, stations, airports, etc. Another unique feature used by Vinteam
\nis Google’s COVID-19 infection trend data which is aggregated anonymously and
\ncontains popular COVID-19 Symptom-Related Google Searches.<\/p>\n
\n
<\/p>\n
\nAI \u200b\u200bmodels and its ability to easily interpret the predictions of the
\nsolution. In addition, this\u00a0approach can be used for any future pandemic
\nresponse model.<\/p>\n
\n
<\/p>\n
\naim to maximise the power of collaboration, competition and innovation to
\naccelerate possible solutions for COVID-19 and future pandemics. The
\ncompetition has shown encouraging results in a very short time, reflecting the
\napplication of artificial intelligence to the society.”<\/p>\n
\n
<\/p>\n
\noperates incentive competitions to solve humanity’s grand challenges, in
\npartnership with Cognizant, which is considered one of 15 iconic companies in
\nthe US, operating extensively in the field of information technology,
\ndeveloping business processes and consulting cooperation for some of the most
\nsuccessful units worldwide. The organisers also hope the competition will
\npromote the use of artificial intelligence and data in tackling other
\nhumanitarian challenges. The competition’s results will be announced at the end
\nof February 2021.<\/p>\n<\/p><\/div>\n\n
Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"