Imagine a town with crosswalks but no pedestrians, cars and trucks but no drivers. Welcome to Mcity, a fake “city” built by researchers who are testing out the driverless cars of the future.
The controlled test environment, which opened today (July 20, 2015) at the University of Michigan in Ann Arbor, covers 32 acres (the size of about 24 football fields) and contains all the trappings of a real suburb or small city. There is an entire network of roads lined with sidewalks, streetlights, stop signs and traffic signals. There’s even a “downtown” area complete with fake buildings and outdoor dining areas.
The idea behind Mcity is simple: test out new driverless car innovations in a human-free environment before these technologies are unleashed in the real world.
"Mcity is a safe, controlled, and realistic environment where we are going to figure out how the incredible potential of connected and automated vehicles can be realized quickly, efficiently and safely," Peter Sweatman, director of the Mobility Transformation Center at U-M, said in a statement.
The roads of Mcity are built to stand up to “rigorous, repeatable” testing, according to MTC officials. While Mcity drivers don't have to compete with real pedestrians, there will be one mechanical foot-traveler (a robot-like machine named Sebastian) that steps out into traffic to see whether the automated cars can hit the brakes in time. The fake city also features a traffic circle, a bridge, a tunnel, some unpaved roads, and even a four-lane highway with entrance and exit ramps, according to a report by Bloomberg Business.
In addition to evaluating fully automated, or driverless cars, the researchers also hope to test out so-called connected vehicles within Mcity’s limits. Connected cars can either communicate with one another (vehicle-to-vehicle control, or V2V) or with pieces of equipment, such as traffic lights, that are located near roadways (vehicle-to-infrastructure control, or V2I).
Even the smallest details of Mcity have been planned out in advance to copy the conditions that connected and automated vehicles could face in the real world. For example, there are street signs covered up with graffiti, and faded yellow and white lane markings line the streets.
Mcity is just one part of a much larger project that MTC and its partner organizations are establishing in an effort to get a whole fleet of connected and driverless cars on the road in Ann Arbor by 2021. In addition to the fake city, MTC is also continuing to launch connected and semi-autonomous(半自动) cars on real roadways. Eventually, the University of Michigan and the Michigan Department of Transportation said they hope to put 20,000 connected cars on the roads of southern Michigan.
1. According to the passage, Mcity ________.| A．is a real town used to evaluate the function of future cars |
| B．is a fake city with transportation system but no pedestrians |
| C．covers an area of 32 acres with as many as 24 football fields |
| D．owns a downtown area with a bridge and some unpaved roads |
| A．To test new driverless cars. |
| B．To make a real suburb or small city. |
| C．To control road environment. |
| D．To build an entire network of roads. |
| A．some connected and semi-autonomous cars have been put into use |
| B．the researchers plans to create a robot-like machine to direct the traffic |
| C．the widespread use of driverless cars will soon come into reality in America |
| D．MTC is attempting to make connected and driverless cars available on real roads |
| A．By presenting descriptions of the design. |
| B．By describing a cause and its effects. |
| C．By providing the time order. |
| D．By comparing the opinions. |
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【推荐1】Ann has been severely paralysed (瘫痪)for more than 18 years. She cannot speak and normally communicates. But now, she has been able to speak through an image on the computer using technology that translated her brain signals into speech and facial expressions.
The advance raises hopes that the technology could be on the edge of transforming the lives of people who have lost the ability to speak due to conditions like strokes (中风).
The latest technology uses tiny electrodes (电极) put on the top layer of the brain to detect electrical activity in the part of the brain that controls speech and face movements. These signals are translated directly into a digital avatar’s (化身) speech and facial expressions including smiling, frowning or surprise.
The team put 253 paper-thin electrodes on the top layer of Ann’s brain over an area important to speech. Afterwards Ann worked with the team to train the system to detect her unique brain signals for various speech sounds by repeating different phrases repeatedly. The computer learned 39 distinctive sounds and a Chat GPT-style language system was used to translate the signals into understandable sentences. This was then used to control an avatar with a voice personalised to sound like Ann’s voice before the injury, based on a recording of her speaking at her wedding.
The technology was not perfect, translating words incorrectly 28% of the time in a test run involving more than 500 phrases, and it generated brain-to-text at a rate of 78 words a minute, compared with the 110–150 words typically spoken in natural conversation. However, scientists said the latest advances in accuracy and speed suggest the technology is now at a point of being practically useful for patients. A crucial next step is to create a wireless form that could be put beneath the skull (颅骨).
1. How can Ann speak?| A．By tiny electrodes on her brain. |
| B．Through an avatar using the latest technology. |
| C．Through repeating different phrases repeatedly. |
| D．By a technology that detects her brain signals. |
| A．How the technology works. |
| B．How the technology benefits the patients. |
| C．How the technology translates the brain signal. |
| D．How the technology is put into wide application. |
| A．Ann’s cooperation. | B．Ann’s facial expressions. |
| C．An AI language system. | D．A recording of Ann’s speaking. |
| A．It is a promising way to help patients. |
| B．Its translating speed is too slow. |
| C．It cannot be applied to patients. |
| D．It is not accurate in translating at all. |
【推荐2】Google’s £ 400m acquisition of the UK artificial intelligence research company DeepMind in 20l4 was testimony to the quality of British scientific research. Furthermore, the insistence of the three UK co-founders that their company would not move to California was seen as evidence of London’s potential to become a successful centre for technology innovation. Four years later, the future of the UK capital’s tech aspirations and of DeepMind’s centre of gravity look a lot less certain.
DeepMind’s announcement last week that it would transfer control of its health unit to a new Google Health division in California has raised questions about data privacy. The health unit has access to the records of 1. 6m patients of Britain’s National Health Service. After four years of relative operating freedom, the company is confronting the hard reality of being owned by Google. For Google, however, which has been patient so far about its return on investment, the time for DeepMind’s work to be commercialised-specifically a patient management App called Streams-appears to have arrived.
The UK Company founded by Demis Hassabis, Shane Legg and Mustafa Suleyman has repeatedly vindicated Google’s assessment of its world class artificial intelligence research. In2016, its AlphaGo programme beat the world’s best player of the fiendishly complex board game “Go” after thousands of practice games. In2017 its progeny, AlphaGo Zero, did it again---without any expert human input.
When algorithms beat humans at their own games it is impressive; when they start beating them at their work it becomes unsettling. This year, another DeepMind algorithm proved better than retinal specialists at London’s Moorfields Eye Hospital at making referrals when tested on patient scans.
This was clear progress. DeepMind’s health work is what is most immediately relevant to Britons since, through a partnership with the Royal Free Hospital, it has access to the data of so many patients. The move to California has understandably raised privacy concerns at a time when big tech companies, including Facebook, are coming under growing scrutiny for the careless way they have exploited private data for commercial gain. Moreover, the transfer appears to contravene promises by DeepMind that “at no stage will patient data ever be linked or associated with Google accounts, products or services”. It is worrying that at the same time DeepMind’s independent review panel-set up to scrutinize its sensitive relationship with the NHS-is also being wound up.
DeepMind, which sees the move as a way of ensuring millions benefit from its work, claims that its contracts with the NHS are sufficient to protect patients’ data, which will remain under the strict control of Britain’s health service. Google has said nothing. There is a clear need for both companies to offer much greater assurances.
Last year, DeepMind set up an ethics and society department, whose independent advisers were selected for their integrity. They had a reputation for asking tough questions which set the company apart in the tech sector. If indeed the founders believed this culture would be unaffected by the gravitational pull of a buyer as powerful as Google, they were naive. WhatsApp and Instagram made the same mistake.
But for the sake of the NHS patients whose data are at issue, it is to be hoped that the same culture and integrity survives in California. The Silicon Valley mantra of “move fast and break things” might work for companies developing software. It has no place governing healthcare and technology.
1. The first paragraph is used to_________.| A．take about the future of DeepMind |
| B．remind readers of the cost of Google’s acquisition of DeepMind |
| C．leading to the problems that DeepMind will face |
| D．highlighting the quality of British scientific research |
| A．DeepMind has no relative operating freedom. |
| B．Google Health division is allowed to retrieve the records of 1. 6m patients. |
| C．Britain’s National Health Service leaks the private data of their patients. |
| D．Some companies have collected private data for commercial gain carelessly. |
| A．Both Google and DeepMind should offer the public much greater assurances. |
| B．WhatsApp and Instagram are likely to leak information of their clients. |
| C．People feel nervous about algorithms employed by high-tech. |
| D．The ethics and society department set up by DeepMind may work. |
| A．Critical | B．Positive |
| C．Negative | D．Ambiguous |
【推荐3】The next time San Francisco residents stop a taxi, they may step into a car with no one behind the wheel. Driverless taxis are now allowed to come on the city’s streets. On June 2, 2022, Cruise, a division of General Motors (GM), was approved to charge for rides in its self-driving cars, becoming the first company allowed to operate commercial driverless cars in a major US city.
Though Cruise is regarding it as a big win, its self-driving cars aren’t totally free to run on the streets of San Francisco as they please. Cruise vehicles will be limited to transporting passengers in less crowded areas of the city between 10 p.m. and 6 a.m. The speed limit is 30 mph. They are also not allowed to operate in heavy rain or fog. The rules are meant to reduce any injuries or accidents.
Cruise plans to launch the service gradually with a team of just 30 cars. The first robotaxis will be improved versions of GM’s Chevrolet Bolt. However, the company is seeking approval to get its custom-built Cruise Origin on public roads. The driverless electric vehicle has no wheels or pedals (踏板) and can attain highway speeds. The car consists mostly of a siting space, where passengers can face each other.
Cruise’s ability to obtain the commercial permit to operate is a big step forward. However, the company still has to convince passengers that its technology is safe. Many remain concerned about safety. A 2021 survey by the American Automobile Association found that 74 percent of Americans are afraid to ride in a self-driving vehicle.
It remains to be seen how the new driverless taxi experiment will play out in San Francisco. But based on the vast number of companies that are racing to develop self-driving vehicles and the tens of thousands of people on waitlists for robotaxi rides, the Cruise pioneering program is at least set for popularity, if not success.
1. What can we learn about the Cruise’s driverless ride services?| A．The services have turned out to be a great success. |
| B．The services receive great support from the public. |
| C．The services have run in some major cities of the USA. |
| D．The services are limited to some regions of San Francisco. |
| A．The feature of Cruise Origin. |
| B．The future of self-driving cars. |
| C．The original plan of the company. |
| D．The new version of Chevrolet Bolt. |
| A．Doubtful. | B．Opposed. |
| C．Favourable. | D．Unconcerned. |
| A．Cruise Offers Free Self-driving Ride Services |
| B．Self-driving Cars Are Coming to San Francisco |
| C．Self-driving Vehicles Are Popular in Major Cities |
| D．Companies Begin to Charge for Rides in Self-driving Cars |
