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Scientists at the University of Oxford have developed new artificial intelligence (AI) software to recognize and follow up the faces of individual chimpanzees (黑猩猩) in the wild. The new software will allow researcher and wildlife conservationists to greatly cut back on time spent analyzing videos, according to the new paper published today in Science Advances.

“For species like chimpanzees, which have complex social lives and live for many years, getting photos of their behavior from short-term field research can only tell us so much.” says Dan Sehofield, researcher and DPhil student at Oxford University’s Primate Models Lab, School of Anthropology. “By taking advantage of the power of machine learning to unlock large video files, it makes it possible to measure behavior over the long term.”

The computers model was trained using over 10 million images (影像) from Kyoto University’s Primate Research Institute (PRI) video files of wild chimpanzees in Guinea, West Africa. The new software is the first to continuously track and recognize individuals in a wide range of posed, performing with high accuracy in difficult conditions such as low lighting and poor image quality.

“Access to this large video file has allowed us to use the newest deep neural networks to train models at a scale that was previously not possible,” says Arsha Nagrani, co-author of the study and DPhil student at the Department of Engineering Science, University of Oxford. “Additionally, our new software differs from previous primate face recognition software in that it can be applied to raw videos with limited manual intervention (人工干预) or pre-processing, saving hours of time.”

The technology has potential for many uses, such as monitoring species for conservation. Although the present application focused on chimpanzees, the software provided could be applied to other species, and help drive the adoption of AI systems to solve a range of problems in the wildlife sciences.

1.What’s the purpose of developing the new software?

A.To save wildlife researchers’ time spent in the wild.

B.To keep track of wildlife conservationists’ behavior.

C.To protect chimpanzees and help them to live longer.

D.To recognize and track the faces of wild chimpanzees.

2.What does the underlined word “it” in paragraph 2 refer to?

A.Getting photos. B.Analyzing videos.

C.The new AI software. D.A powerful machine.

3.What does paragraph 4 mainly talk about?

A.The unique advantages of the new software.

B.Some limitations of using the new software.

C.The working principles of the new software.

D.Controversial attitudes to the new software.

4.What can be inferred from the last paragraph?

A.The new software has a quite bright future.

B.The application of the technology can be tough.

C.Technology is the final goal of scientific research.

D.AI systems are widely used in the wildlife sciences.

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