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SectionⅡ课时作业
一、主题下的语篇训练
1.阅读理解
Melanie Clapham has spent the last three years catching images of grizzlies (at
Knight Inlet,on the B.C.coast,using small camera traps housed in metal and attached
securely to the forest branches.
Three years and thousands of images later,the behavioral researcher and postdoctoral
student at the University of Victoria has partnered with two software developers living in
Silicon Valley and a grizzly research centre in Alaska to develop facial recognition technology
used to identify the bears.
"They don't have distinctive markings on their bodies,"said Clapham,whose interest
in this technology sprang from the need to "identify and recognize individual bears over
time"as part of her behavioral research over the last 11 years.
Bears grow and shrink a lot depending on the season,and their appearance changes
frequently during their 20-to 25-year-long lifespans.Clapham began to wonder if AI might be
able to solve her problem in the same way the technology recognizes people's faces.
Now,she says,the open-source BearID software can be used and adapted by anyone and
could have huge hints for understanding the animals'behaviour and avoiding bear-human
encounters.
In relation to the technology based on human facial recognition,Ed Miller and his
partner Mary Nyugen are the software developers from California who connected with
Clapham in an online forum for conservation technology in late 2017.
The pair were looking for photos of bears "for fun"as a way to learn more about
recognition software,and so they connected with Clapham to offer their expertise (
in adapting artificial intelligence.
"The technology we're using is based on the same software used to recognize humans,"
said Miller,who added that human identification is far easier,as there are millions of images
the software can learn from.
"We need lots of images of individual animals to tell the system which bear is which,"
said Clapham,who