LEVERAGING AI TO FIGHT AGAINST PANDEMIC
dc.contributor.author | Zulpratita, Ulil Surtia | |
dc.date.accessioned | 2021-02-21T01:20:42Z | |
dc.date.available | 2021-02-21T01:20:42Z | |
dc.date.issued | 2020 | |
dc.description.abstract | In the course of recent months, the world has encountered a progression of COVID-19 flare-ups that have by and large followed a similar pathway: an underlying stage with not many diseases and restricted reaction, trailed by a remove from the popular pestilence bend joined by a nationwide lockdown to level the bend. All through the pandemic, incredible accentuation has been set on the sharing (or absence of it) of basic data across nations about the spread of the ailment. On the other hand, generally little has been said about how COVID-19 could have been exceptional overseen by utilizing the serious information advancements that have changed business in recent years. Desires are high for AI to help battle COVID-19. Be that as it may, before AI instruments can have an effect, worldwide coordinated effort and great information and model sharing are required. AI companies around the globe have been hustling to grow new instruments that can be utilized to arm ourselves against the novel Covid-19, and limit the general interruption that it will cause. | en_US |
dc.identifier.issn | 0038-111X | |
dc.identifier.uri | http://repository.widyatama.ac.id/xmlui/handle/123456789/12719 | |
dc.language.iso | en | en_US |
dc.publisher | Solid State Technology Volume: 63 Issue: 3 | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Big Data | en_US |
dc.subject | Coronavirus | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Machine Learning | en_US |
dc.subject | Pandemic | en_US |
dc.title | LEVERAGING AI TO FIGHT AGAINST PANDEMIC | en_US |
dc.type | Article | en_US |
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