Exploring Opportunities in Covid-19: Artificial Intelligence & Security

Speaker:  Celestine Iwendi – Uppsala, Sweden
Topic(s):  Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing


AI tools have been registering numerous successes in major disease areas such as cancer, neurology and now in new coronavirus SARS-CoV-2 (Covid-19) detection,  Prediction and in the long run, treatment of Covid-19 patients often experience several symptoms which include breathlessness, fever, cough, nausea, sore throat, blocked nose, runny nose, headache, muscle and joint pains. In this lecture, I will share some insight into artificial intelligence is applied to defend cybersecurity in covid-19 era. We will also talk about how artificial intelligence algorithms are used for predication on the quantiles of the distribution of a life table survivorship function of Covid-19 suspected patients. Finally, I will show by analysis and simulation how IoT and AI might help prevent future outbreaks of disease by providing an early warning system when infectious diseases threaten to become pandemics.

About this Lecture

Number of Slides:  39
Duration:  50 minutes
Languages Available:  English
Last Updated: 

Request this Lecture

To request this particular lecture, please complete this online form.

Request a Tour

To request a tour with this speaker, please complete this online form.

All requests will be sent to ACM headquarters for review.