The past 20 years have seen numerous epidemics break out across the globe: SARS, H1N1, Ebola, Zika, and most recently, COVID-19. These diseases have impacted the lives of billions, and have caused millions of deaths around the world. A multitude of factors can cause an infectious disease to develop and spread, including climate and poor sanitation, but even with knowledge of these factors it is difficult to predict when outbreaks will occur.
It has been said that “seeing is believing,” but in the age of social media, viral videos, and artificial intelligence (AI) technology, can we truly believe what we see on the internet? Computer science researchers at the University of Maryland have invented a “Deepfake Detection Tool” to help answer that question.
In the newly released 2022 Top Scientist rankings by Research.com, 18 University of Maryland researchers ranked among the Top 1,000 Environmental Sciences researchers in the United States, and seven ranked among the Top 1,000 worldwide.