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>> last week, there were like maybe one, two, three patients that we kind of heard about, like whispered about. >> i'm telling you, you're not needing as much oxygen. >> is this a covid patient, is this not a covid patient? >> the infection went into his bone. >> and now i have a list where pretty much all of the patients have covid-19. we are taught pattern recognition. and as of right now, there's no clear pattern. >> that was dr. natalie dugge. she is a board certified internalist and hospital doctor. doctor, it's great to have you with us. i know when you signed onto the film, did you have...

That we kind of heard about, like whispered about. >> you're not needing as much oxygen. >> is this a covid patient, is this not a covid patient? >> the infection went into his bone. >> and now i have a list where pretty much all of the patients have covid-19. we are taught pattern recognition. and as of right now, there's no clear pattern. >> that was dr. natalie dujet, a board certified internalist and hospitalist. doctor, it's great to have you with us. i know when you signed onto the film, did you have any idea of how dire the situation in your hospital would get in such a short amount of ...

Q: What is a factor graph? A factor graph represents a global function of many variables as a product of local functions with smaller subsets of variabl

National Cheng Kung University’s (NCKU) visual perception algorithm for self-driving vehicles won the top spot in a global pattern recognition technology contest. Visual recognition algorithms are a key component of self-driving vehicle technology, which is transforming transportation and the auto industry worldwide. A limiting factor of the current generation of visual perception algorithms is that they were generally designed for use in structured urban environments, making them less capable in a rural setting. Leading a team of four students, NCKU statistics professor Chih-chung Hsu (è...

/ Staff writerNational Cheng Kung University’s （NCKU） visual perception algorithm for self-driving vehicles won the top spot in a global pattern recognition technology contest.