Human memory is notoriously （眾所周知地） unreliable.Even people with the sharpest facial recognition skills can only remember so much.
It's tough to quantify how good a person is （1）atat remembering.No one really knows how many different faces someone can recall，for example，but various estimates tend to hover in the thousands – based on the number of acquaintances a person （2）may/mightmay/might have.
Machines aren't limited this way.Give the right computer a massive database of faces，and it can process what it sees – then recognize a face it （3）is toldis told （tell） to find – with remarkable speed and precision.This skill is （4）whatwhat supports the enormous promise of facial-recognition software in the 21st century.It is also what makes contemporary surveillance （監(jiān)控） systems so scary.
The thing is，machines sill have limitations when it comes to facial recognition.And scientists are only just beginning to understand what those constraints are. （5）To figureTo figure （figure） out how computers are struggling，researchers at the University of Washington created a massive database of faces – they call it MegaFace – and （6）testedtested （test） a variety of facial-recognition algorithms（算法） as they scales up in complexity.The idea was to test the machines on a database that included up to 1 million different images of nearly 7，000 different people – and not just a large database （7）featuringfeaturing （feature） a relatively small number of different faces，more consistent with what's been used in other research.
As the databases grew，machine accuracy dipped across the board.Algorithms （8）which/thatwhich/that were right 95% of the time when they were dealing with a 13，000-image database，for example，were accurate about 70% of the time when （9）facedfaced （face） with 1 million images.That's still pretty good，says one of the researchers，Ira Kemelmacher-Shlizerman. "Much better than we expected，" she said，
Machines also had difficulty adjusting for people who look a lot alike –either doppelgangers （長相極相似的人），whom the machine would have trouble （10）identifyingidentifying （identify） as two separate people，or the same person who appeared in different photos at different ages or in different lighting，whom the machine would incorrectly view as separate people.
【考點】人與自我．
【答案】at；may/might；is told；what；To figure；tested；featuring；which/that；faced；identifying
【解答】
【點評】
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發(fā)布：2024/12/30 1:0:8組卷：4引用：1難度：0.5
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So make sure you're permitted to use an app or service，and pay attention to how you are using it．Here're some important points you may find helpful．
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（4）Some services automatically stop sending your location after a period of time，but others will send it forever-until you stop it．Review your contact list periodically and delete anyone to whom you no longer feel comfortable revealing your location．
Update parents．Location-based services are a great way for teens to let parents know where they are without having to call or text．（5）If you're heading home late at night，you can also use a service like Glympse to share your location as you drive，so they'll know if you have car trouble or get stuck in traffic．A．Check back often．
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（2）.Now is the time for us students to choose a suitable one.We will experiment in different fields of study.We will never know if we are interested or talented in a subject if we don't try it.
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G.The classes we choose can influence us in the future發(fā)布：2025/1/1 18:0:1組卷：7引用：5難度：0.5 -
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