An artificial intelligence can accurately translate thoughts into sentences, at least for a limited vocabulary of 250 words. The system may bring us a step closer to _______ speech to people who have lost the ability.
Joseph Makin at the University of California, San Francisco, and his colleagues used deep learning algorithms(算法) to study the brain _______ of four women as they spoke. The women, who all suffer from a certain kind of brain disorder, already had electrodes attached to their brains to monitor disease attacks.
Each woman was asked to read aloud from a set of sentences as the team _______ brain activity. The largest group of sentences _______ 250 unique words. The team fed this brain activity to a network algorithm related to nerves, training it to _______ regularly occurring patterns that could be linked to repeated aspects of speech. These patterns were then fed to a second network, which tried to turn them into words to _________ a sentence.
Each woman repeated the sentences at least twice, and the final repetition didn’t form part of the training data, _______ the researchers to test the system.Each time a person speaks the same sentence, the brain activity associated will be similar but not exactly the same. “Memorizing the brain activity of these sentences wouldn’t help, _______ the network instead has to learn what’s similar about them so that it can generalize to this final example,” says Makin. Across the four women, the AI’s best performance was an average translation error rate of 3 per cent.
Makin says that using a small number of sentences made it _______ for the AI to learn which words tend to follow others. For example, the AI was able to __________ that the word “Bear” was always likely to follow the word “Teddy” in a certain set of sentences, from brain activity alone.
The team tried transforming the brain signal data into __________ words at a time, rather than whole sentences, but this __________ the error rate to 38 per cent even for the best performance. “So the network clearly is learning facts about which words go together, and not just which brain activity __________ with which words,”says Makin.
This will make it hard to scale up the system to a/an __________ vocabulary because each new word increases the number of possible sentences, reducing __________. Sophie Scott at University College London says we are a long way from being able to translate brain signal data comprehensively.
1.A.assigning B.conveying C.restoring D.introducing
2.A.systems B.signals C.signatures D.symbols
3.A.illuminated B.discovered C.measured D.stopped
4.A.consisted of B.adjusted to C.agreed with D.focused on
5.A.simplify B.identify C.intensify D.justify
6.A.understand B.form C.describe D.judge
7.A.allowing B.inspiring C.instructing D.advising
8.A.because B.so C.if D.but
9.A.quicker B.slower C.easier D.tougher
10.A.split B.reflect C.decode D.tear
11.A.individual B.common C.modified D.technical
12.A.increased B.decreased C.leveled D.degraded
13.A.furnished B.mixed C.associated D.armed
14.A.passive B.active C.limited D.expanded
15.A.tendency B.currency C.accuracy D.fluency
高三英语完形填空困难题
An artificial intelligence can accurately translate thoughts into sentences, at least for a limited vocabulary of 250 words. The system may bring us a step closer to _______ speech to people who have lost the ability.
Joseph Makin at the University of California, San Francisco, and his colleagues used deep learning algorithms(算法) to study the brain _______ of four women as they spoke. The women, who all suffer from a certain kind of brain disorder, already had electrodes attached to their brains to monitor disease attacks.
Each woman was asked to read aloud from a set of sentences as the team _______ brain activity. The largest group of sentences _______ 250 unique words. The team fed this brain activity to a network algorithm related to nerves, training it to _______ regularly occurring patterns that could be linked to repeated aspects of speech. These patterns were then fed to a second network, which tried to turn them into words to _________ a sentence.
Each woman repeated the sentences at least twice, and the final repetition didn’t form part of the training data, _______ the researchers to test the system.Each time a person speaks the same sentence, the brain activity associated will be similar but not exactly the same. “Memorizing the brain activity of these sentences wouldn’t help, _______ the network instead has to learn what’s similar about them so that it can generalize to this final example,” says Makin. Across the four women, the AI’s best performance was an average translation error rate of 3 per cent.
Makin says that using a small number of sentences made it _______ for the AI to learn which words tend to follow others. For example, the AI was able to __________ that the word “Bear” was always likely to follow the word “Teddy” in a certain set of sentences, from brain activity alone.
The team tried transforming the brain signal data into __________ words at a time, rather than whole sentences, but this __________ the error rate to 38 per cent even for the best performance. “So the network clearly is learning facts about which words go together, and not just which brain activity __________ with which words,”says Makin.
This will make it hard to scale up the system to a/an __________ vocabulary because each new word increases the number of possible sentences, reducing __________. Sophie Scott at University College London says we are a long way from being able to translate brain signal data comprehensively.
1.A.assigning B.conveying C.restoring D.introducing
2.A.systems B.signals C.signatures D.symbols
3.A.illuminated B.discovered C.measured D.stopped
4.A.consisted of B.adjusted to C.agreed with D.focused on
5.A.simplify B.identify C.intensify D.justify
6.A.understand B.form C.describe D.judge
7.A.allowing B.inspiring C.instructing D.advising
8.A.because B.so C.if D.but
9.A.quicker B.slower C.easier D.tougher
10.A.split B.reflect C.decode D.tear
11.A.individual B.common C.modified D.technical
12.A.increased B.decreased C.leveled D.degraded
13.A.furnished B.mixed C.associated D.armed
14.A.passive B.active C.limited D.expanded
15.A.tendency B.currency C.accuracy D.fluency
高三英语完形填空困难题查看答案及解析
Siri is an artificial intelligence (AI) that you can carry around in the pocket, where it waits patiently to be told what to do. In the week we spent together, my AI assistant has performed admirably in finding me restaurants, or the location of the nearest coffee shop.
A typical command might be: “Reserve a table for two at a good French restaurant in San Francisco.” Siri responds by presenting a list of top-rated restaurants that can be booked on OpenTable.com. If you say which time you want, it can book you a table without your lifting a finger. In some ways Siri is just a fancy front-end (前端程序) to the 35 sites it can connect to, from taxi booking sites to movie review databases. But what’s new is the way it can analyze the intentions of its master or mistress and use those sites to put them into action.
Siri attaches probabilities to the explanation of each word and cross-references (对照检索) with your location and other data, some of which you must provide yourself. To send email reminders, Siri obviously needs to know your email address. To “find me the flower shop closest to work”, it needs to know where you work. To pay bills or buy airline tickets, it would need access to your credit card.
That raises the question of how far we are willing to trust a piece of software that can go and do things for us based on what it “thinks” we mean, a topic that occupies some engineers working on artificial intelligence. The more data, and power, you give your virtual assistant, the more damage it could do. Siri may be simple, and always shows its explanation of a command before carrying it out. But it gives users a preview of a new balance between privacy, trust and convenience that the expansion of AI into everyday life is likely to develop.
1.What is Siri?
A. A digital e-book reader.
B. A music-sharing software.
C. A voice-controlled website.
D. An artificial intelligence software.
2.When asked “do I need my umbrella today?”, what will Siri probably respond with?
A. The list of umbrella makers.
B. The list of umbrella shops.
C. The local weather forecast.
D. The local climate conditions.
3.Siri is new in that it has the ability ______.
A. to understand what you speak
B. to connect a lot of websites
C. to give a variety of commands
D. to create computerized database
4.What question does Paragraph 4 answer?
A. Does Siri think itself? B. Can I trust you, Siri?
C. Is Siri simple for use? D. Will Siri be popular?
高三英语阅读理解中等难度题查看答案及解析
Artificial intelligence can predict when patients with a heart disorder will die, according to scientists.
The software learned to analyze blood tests and scans of beating hearts to spot signs that the organ was about to fail. The team, from the UK’s Medical Research Council, said the technology could save lives by finding patients that need more aggressive treatment. The results were published in the Journal of Radiology.
According to the researchers, high blood pressure in the lungs damages part of the heart, and about a third of patients die within five years after being diagnosed. There are treatments: drugs, injections straight into the blood vessels, a lung transplant. But doctors need to have an idea of how long patients might have left, in order to pick the right treatment.
The software was given scans of 256 patients’ hearts, and blood test results. When this data was combined with eight years of patient health records, the artificial intelligence predicted when patients would die.
The software could look about five years into the future. It correctly predicted those who would still be alive after one year about 80% of the time. The figure for doctors is 60%.
The team now want to test the software works in other patients in different hospitals before assessing whether it should be made widely available to doctors. The researchers also want to use the technology in other forms of heart failure, such as cardiomyopathy, to see who might need a pacemaker or other forms of treatment.
Dr Mike Knapton, from the British Heart Foundation, said, “This exciting use of computer software in medical practice will help doctors in the future to make sure that patients are receiving the correct treatment before the condition deteriorates and leaves them needing a lung transplant. The next step is to test this technology in more hospitals with heart disease.”
1.What can artificial intelligence do according to the passage?
A.Predicting how long a person with heart disease can survive.
B.Helping doctors diagnose people with heart disease.
C.Obeying orders and reminding heart disease patients to take pills.
D.Producing medicine without side effects for heart disease patients.
2.What can we know about the software from the passage?
A.It can make accurate long-term predictions.
B.It has not yet been widely put into use.
C.It can prevent high blood pressure in the lungs damaging part of the heart.
D.It can help doctors make sure that patients are receiving the correct treatment.
3.The underlined word “deteriorates” in the last paragraph probably means “________.”
A.continues B.worsens
C.exists D.improves
4.The author’s purpose of writing the text is most likely to _________.
A.advertise B.persuade
C.inform D.entertain
高三英语阅读理解中等难度题查看答案及解析
Artificial intelligence can ide ntify skin cancer in photographs with the same accuracy as trained doctors, say scientists. The Stanford University team said the findings were "incredibly exciting" and would now be tested in clinics. Eventually, they believe using AI could revolutionize healthcare by turning anyone’s smart-phone into a cancer scanner.
The AI was repurposed from software developed by Google that had learned to spot the difference between images of cats and dogs. It was shown 129,450 photographs and told what type of skin condition it was looking at in each one.
It then learned to spot the hallmarks of the most common type of skin cancer: carcinoma, and the most deadly: melanoma(黑色素瘤). Only one in 20 skin cancers are melanoma, yet the tumor(肿瘤) accounts for three-quarters of skin cancer deaths.
The experiment, detailed in the journal Nature, then tested the AI against 21 trained skin cancer doctors. One of the researchers, Dr Andre Esteva, told the BBC News website: "We find excitedly, in general, that we are on par with excellent skin cancer doctors."
However, the computer software cannot make a full diagnosis, as this is normally confirmed with a tissue biopsy(活检). Dr Esteva said the system now needed to be tested alongside doctors in the clinic. "The application of AI to healthcare is, we believe, an incredibly exciting area of research that can be leveraged to achieve a great deal of societal good," he said. "One particular route that we find exciting is the use of this algorithm on a mobile device, but to achieve this we would have to build an app and test its accuracy directly from a mobile device." Incredible advances in machine-learning have already led to AI beating one of humanity's best Go players.
And a team of doctors in London have trained AI to predict when the heart will fail.
1.From the passage we can infer that ________.
A. Artificial Intelligence must replace human one day
B. we can use Artificial Intelligence to cure skin cancers
C. we can use smart-phone to scan our skin at present
D. the research will be of great help to us and our health care
2.Which one will he agree with according to Dr Esteva?
A. Artificial Intelligence has beaten all of humanity’s best Go players.
B. Artificial Intelligence could support assessments by GPs.
C. We still need professional doctors with the help of the system.
D. There are too many disadvantages for Artificial Intelligence.
3.The underlined words “on par with” in Para 4 likely mean ________.
A. inferior to B. equaled by C. superior to D. opposite to
4.What’s probably the best title of this passage?
A. Cancer Doctors Are Out
B. An APP Scanning Skin Cancers
C. Artificial Intelligence—change our future
D. Artificial Intelligence—as good as cancer doctors
高三英语阅读理解困难题查看答案及解析
A new study has shown how computers and robots powered by artificial intelligence can read human eye movements to "read" human personalities.
The eyes, they say, are the windows to the soul. And if that is true, computers and robots powered by sophisticated（复杂的）artificial intelligence algorithms（算法）may soon have the ability to peer into your soul. That is the result of a new study on the connection between eye movements and personality, conducted by neuroscience researchers based at the University of South Australia and Published in the scientific Journal Frontiers in Neuroscience.
"Eye movements during an everyday task predict aspects of our personality," wrote the researchers, led by University of South Australia neuroscientist Tobias Loetscher, whose team follows 42 study subjects around the university campus recording their eye movements, then determines their personality traits（特点）with "well-established questionnaires" for determining personality type, according to a summary of the study published by the site Science Daily.
The researchers fed the data into their Al algorithms and found that computers running the algorithms were able to record human eye movements and immediately determine a person's major personality traits, such as "neuroticism, extraversion（外向），agreeableness, conscientiousness, as well as perceptual（感知的）curiosity", the scientists wrote.
"The new findings could improve the way human beings interact with their computers and other high-tech devices, even robots, allowing for more natural and realistic social interactions with machines," Loetscher said.
"People are always looking for improved, personalized services. Today's robots and computers are not socially aware so they cannot adapt to non-verbal information," Loetscher said in a statement quoted by Indian Express. This research provides opportunities to develop robots and computers so that they can become more natural, and better at interpreting human social signals."
The study revealed previously undiscovered relations between specific personality characteristics and specific eye movement tendencies, according to a summary in Britain's Daily Mail newspaper.
1.What do the underlined words "peer into" in Paragraph 2 probably mean?
A. understand B. stare at
C. search for D. concern about
2.How did the researchers conduct the research?
A. It was carried out in a lab.
B. 42 subjects' eye movements were recorded.
C. The students' daily movements were tracked.
D. Its subjects' personalities were determined by computer.
3.According to Tobias Loetscher, what can we know?
A. Robots and computers are socially conscious.
B. People care less about improved, personalized services.
C. Today's robots and computers can accustom to non-verbal information.
D. The discovery will improve the interaction between human beings and machines.
4.What can be a suitable title for the text?
A. Human Personality Traits
B. What Human Eye Movements Are
C. Tell Personalities by Eye Movements.
D. How Humans and Machines Interact
高三英语阅读理解困难题查看答案及解析
A new study has shown how computers and robots powered by artificial intelligence can read human eye movements to “read” human personalities.
The eyes, they say, are the windows to the soul. And if that is true, computers and robots powered by sophisticated(复杂的) artificial intelligence algorithms(算法) may soon have the ability to peer into your soul. That is the result of a new study on the connection between eye movements and personality, conducted by neuroscience researchers based at the University of South Australia and Published in the scientific Journal Frontiers in Neuroscience.
“Eye movements during an everyday task predict aspects of our personality,” wrote the researchers, led by University of South Australia neuroscientist Tobias Loetscher, whose team follows 42 study subjects around the university campus recording their eye movements, then determines their personality traits(特点) with “well-established questionnaires” for determining personality type, according to a summary of the study published by the site Science Daily.
The researchers fed the data into their AI algorithms and found that computers running the algorithms were able to record human eye movements and immediately determine a person’s major personality traits, such as “neuroticism, extraversion(外向), agreeableness, conscientiousness, as well as perceptual(感知的) curiosity”, the scientists wrote.
“The new findings could improve the way human beings interact with their computers and other high-tech devices, even robots, allowing for more natural and realistic social interactions with machines,” Loetscher said.
“People are always looking for improved, personalized services. Today’s robots and computers are not socially aware so they cannot adapt to non-verbal information,” Loetscher said in a statement quoted by Indian Express. “This research provides opportunities to develop robots and computers so that they can become more natural, and better at interpreting human social signals.”
The study revealed previously undiscovered relations between specific personality characteristics and specific eye movement tendencies, according to a summary in Britain’s Daily Mail newspaper.
1.What do the underlined words “peer into” in Paragraph 2 probably mean?
A.understand B.stare at
C.search for D.concern about
2.How did the researchers conduct the research?
A.It was carried out in a lab.
B.42 subjects’ eye movements were recorded.
C.The students’ daily movements were tracked.
D.Its subjects’ personalities were determined by computer.
3.According to Tobias Loetscher, what can we know?
A.Robots and computers are socially conscious.
B.People care less about improved, personalized services.
C.Today’s robots and computers can accustom to non-verbal information.
D.The discovery will improve the interaction between human beings and machines.
4.What can be a suitable title for the text?
A.Human Personality Traits
B.What Human Eye Movements Are
C.Tell Personalities by Eye Movements
D.How Humans and Machines Interact
高三英语阅读理解困难题查看答案及解析
A new study has shown how computers and robots powered by artificial intelligence can read human eye movements to “read” human personalities.
The eyes, they say, are the windows to the soul. And if that is true, computers and robots powered by complex artificial intelligence algorithms(算法) may soon have the ability to peer into your soul. That is the result of a new study on the connection between eye movements and personality, conducted by neuroscience researchers based at the University of South Australia and Published in the scientific Journal Frontiers in Neuroscience.
“Eye movements during an everyday task predict aspects of our personality,” wrote the researchers, led by University of South Australia neuroscientist Tobias Loetscher, whose team follows 42 study subjects around the university campus recording their eye movements, then determines their personality traits(特点) with “well-established questionnaires” for determining personality type, according to a summary of the study published by the site Science Daily.
The researchers fed the data into their Al algorithms and found that computers running the algorithms were able to record human eye movements and immediately determine a person's major personality traits, such as “neuroticism, agreeableness, conscientiousness, as well as perceptual(感知的) curiosity”, the scientists wrote.
“The new findings could improve the way human beings interact with their computers and other high-tech devices, even robots, allowing for more natural and realistic social interactions with machines,” Loetscher said.
“People are always looking for improved, personalized services. Today’s robots and computers are not socially aware so they cannot adapt to non-verbal information,” Loetscher said in a statement quoted by Indian Express. This research provides opportunities to develop robots and computers so that they can become more natural, and better at interpreting human social signals.”
The study revealed previously undiscovered relations between specific personality characteristics and specific eye movement tendencies, according to a summary in Britain’s Daily Mail newspaper.
1.What do the underlined words “peer into” in Paragraph 2 probably mean?
A. Stare at. B. Understand.
C. Search for. D. Concern about.
2.How did the researchers conduct the research?
A. It was carried out in a lab.
B. 42 subjects’ eye movements were recorded.
C. The students’ daily movements were tracked.
D. Its subjects’ personalities were determined by computer.
3.What can we know according to Tobias Loetscher?
A. Robots and computers are socially conscious.
B. People care less about improved, personalized services.
C. Today’s robots and computers can accustom to non-verbal information.
D. The discovery will improve the interaction between human beings and machines.
4.What can be a suitable title for the text?
A. Human Personality Traits
B. What Human Eye Movements Are
C. Tell Personalities by Eye Movements.
D. How Humans and Machines Can Interact
高三英语阅读理解困难题查看答案及解析
She is so ______ that no one can ever persuade her.
| A．reliable | B．stubborn | C．artificial | D．intelligent |
高三英语单项填空简单题查看答案及解析
Scientists in the U.S. have created an artificial sunflower less than 0. 04 inches wide that can bend towards a light source and harvest solar energy. The flowers were found to be about 400 percent more efficient than other equipment, making them promising technology for solar power potentially even as a power source for solar-based spaceships.
The team, led by researchers from the University of California, Los Angeles, was looking to improve. the efficiency of solar cells by modeling after a feature of nature-phototropism. This is where a plant adjusts itself to face the sun, getting the most amount of energy it can get. In a study published in Nature Nanotechnology, the team said it was a ''big challenge''.
However, this problem has now been overcome. The team has developed a polymer(聚合物) that is responsive to being simulated by light, The system, which they have named SunBOT for short, is able to instantly explore and track a light source. It can do this across a range of temperatures without power supply or any human intervention.
The researchers used the polymer to create a ''stem''. Then they placed a material commonly used in solar cells on its top, representing the ''flower''. When the team shone a light at the SunBOTs, the polymer began heating up and shrinking, causing the stem to bend so the flower faced the light.
The researchers tested their artificial sunflowers to see how efficient they were at harvesting solar energy Findings showed they were up to 400 percent more effective than non-phototrophic materials.
The practical applications of SunBOTs are some way off. The study shows a proof of concept, but the technology will need to be scaled up to be used commercially. However, the team is confident it could one day be used a across a broad range of industries.
This work may be useful for solar harvesters signal revere smart windows, self-contained robotics solar sails for spaceships and intelligent energy generation (for example, solar cells and biofuels), the scientific team said.
1.Why do the scientists create the artificial sunflower?
A.To prevent pollution. B.To protect sunflowers.
C.To reuse green energy. D.To warn us of the energy crisis.
2.What can we learn about SunBOTs?
A.SunBOTs are likely to be too limited in future use.
B.There is some time before SunBOTs are put into markets.
C.Scientists are still not sure of the function of SunBOTs.
D.SunBOTts are not efficient, though advanced, in collecting energy.
3.Where can we read such a text?
A.In an education report. B.In a market report.
C.In an experiment report. D.In a science report.
高三英语阅读理解中等难度题查看答案及解析
The AlphaGo program’s victory is an example of how smart computers have become.
But can artificial intelligence (AI) machines act ethically, meaning can they be honest and fair?
One example of AI is driverless cars. They are already on California roads, so it is not too soon to ask whether we can program a machine to act ethically. As driverless cars improve, they will save lives. They will make fewer mistakes than human drivers do. Sometimes, however, they will face a choice between lives. Should the cars be programmed to avoid hitting a child running across the road, even if that will put their passengers at risk? What about making a sudden turn to avoid a dog? What if the only risk is damage to the car itself, not to the passengers?
Perhaps there will be lessons to learn from driverless cars, but they are not super-intelligent beings. Teaching ethics to a machine even more intelligent than we are will be the bigger challenge.
About the same time as AlphaGo’s triumph, Microsoft’s ‘chatbot’ took a bad turn. The software, named Taylor, was designed to answer messages from people aged 18-24. Taylor was supposed to be able to learn from the messages she received. She was designed to slowly improve her ability to handle conversations, but some people were teaching Taylor racist ideas. When she started saying nice things about Hitler, Microsoft turned her off and deleted her ugliest messages.
AlphaGo’s victory and Taylor’s defeat happened at about the same time. This should be a warning to us. It is one thing to use AI within a game with clear rules and clear goals. It is something very different to use AI in the real world. The unpredictability of the real world may bring to the surface a troubling software problem.
Eric Schmidt is one of the bosses of Google, which own AlphaGo. He thinks AI will be positive for humans. He said people will be the winner, whatever the outcome. Advances in AI will make human beings smarter, more able and “just better human beings.”
1.What does the author want to show with the example of AlphaGo’s victory?
A.Computers will prevail(战胜) over human beings. B.Computers have unmatched potential.
C.Computers are man’s potential rivals. D.Computers can become highly intelligent.
2.What does the author mean by AI machines acting ethically?
A.They are capable of predicting possible risks.
B.They weigh the gains and losses before reaching a decision.
C.They make sensible decisions when facing moral dilemmas.
D.They sacrifice everything to save human lives.
3.What is said to be the bigger challenge facing humans in the AI age?
A.How to make super-intelligent AI machines share human feelings.
B.How to ensure that super-intelligent AI machines act ethically.
C.How to prevent AI machines doing harm to humans.
D.How to avoid being over-dependent on AI machines.
4.What do we learn about Microsoft’s ‘chatbot’ Taylor?
A.She could not distinguish good from bad. B.She could turn herself off when necessary.
C.She was not made to handle novel situations. D.She was good at performing routine tasks.
5.What does Eric Schmidt think of artificial intelligence?
A.It will be far superior to human beings. B.It will keep improving as time goes by.
C.It will prove to be valuable to human beings. D.It will be here to stay whatever the outcome.
高三英语阅读理解中等难度题查看答案及解析