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ofo inqsdopsoo uleu sApimportant and underappreciated role in reducing carbon emissions,but climate change threatensto release that stored carbon."We need to be very careful with these systems in terms of theirfuture evolution,"he said.28.What does the underlined part "out of whack"in paragraph 2 probably mean?D.Out of sight.A.Out of date.B.Out of place.C.Out of order.29.How did the scientists get necessary data?A.By using modern technology.B.By analyzing previous data.C.By turning to citizen scientists.D.By downloading them from the Internet30.What is the significance of the study?A.It came up with the solution to the emission problem.B.It found out the year 2021 was destruetive for forests.C.Itfilled a gap in the study of the futionf borea forestsD.It pointed out the reason for increased emissions in boreal areas.31.How does Canadell feel about the findings?A.Surprised.C.Satisfied.D.DisappointedB.Concerned.DArtificial Intelligence(AD)models are everywhere.The vast majority of these models workusing artificial neural (networks,or ANNs,which are a popular form of machinelearning.Most ANNs can learn to perform one task just fine.But when it comes to learning a newtask,they have a problem that brains don't.They either fail to learn the new task,or they learnthe new thing but remove most of what they knew about their original task.But this problemdoesn't tend to affect the human brain."How do our new memories get into the pool of old memories without removing them?"Pavel Sanda wondered.Sanda is a computer scientist who is also part of a research team thatused a computer model to explore how sleep helps a brain learn.As our brains sort through newexperiences during sleep,he knew,they replay those events many times,so he decided toexperiment with this aspect of human sleep in an AI model.First,he and his teammates trained this AI model on a simple task.It controlled a blue dotwandering through a grid()which was seeded with three types of paired green blocks.Forthe first task,the AI learned to seek out side-by-side pairs.Next,the team tried teaching it tofind out pairs that sat diagonal()from each other.However,they didn't try to teach ithe new rules all at once.Instead,they let the AI system explore the grid for a brief time,anthen take a sleep-like break.During the break,there was no grid and no shapes to meet with.So there was nothingsee and no actions to take.It randomly replayed the way it had responded to the world.Thanto these sleep-like breaks,the AI managed to learn both tasks well."Sleep"may not be the best way for all AI models to learn multiple tasks.However,newresearch isavery mportant first step towards understanding themae of sleep.32.What is a disadvantage of most ANNs?A.They can't learn multiple tasks.B.They are easy to break down.C.They don't have the ability to learnD.They can't perform a single task英语（一）第5页（共8页）⑦4H十00