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1、Key to ExercisesOpenerSuggested answers for reference: 1. Senior citizens, handicapped people, mothers with young children. 2. There are multiple benefits. For one thing, self-driving cars are safer. For another, they get handicapped people from one place to another, which was previously denied to s
2、uch people. Thirdly, instead of driving, mothers can spend more quality time with their children. 3. Businesspeople who want to catch up on reading and communications when travelling by road. News reporters who could send reports back to headquarters right after an interview. Paramedics who could fo
3、cus on caring for patients on the way to hospital. Transcript: Today, we have something extra special for you guys. And you guys will be some of the first people outside of our team and outside of Google to have a drive in it. Ah, there it is! Wow! Isnt that cute? Go ahead. Ok, Annie, here we go. Hi
4、, Connie, lets go. There is no steering wheel in the wagon. It was a big decision for us to go and start building our purpose-built vehicles and really theyre prototype vehicles. They were a chance for us to explore what it really means to have a self-driving vehicle. But in a small amount of time w
5、eve been working on it, now we have functional prototypes. Its exciting. Oh its really cool. It was like really a kind of space-age experience. Oh, OK. Were like queens. You sit, relax, you dont have to do nothing. It knows when to stop, it knows when to go. It actually rides better than my own car.
6、 Yes, true. What she really liked was that it slowed down before it went around a curve, and then accelerated in the curve. Shes always trying to get me to do it that way. Thats the way I learned in high school drivers ed. So if I had a self-driving car, I could spend more time hanging out with my k
7、ids or helping them with their homework, even just tending to them, finding out how their day was and not having to wait until you get home and have dinner and all that. So it would be good. Human feeling of it is very well engineered and its very smooth. There is nothing that makes it feel the leas
8、t bit threatening. Impressive. Im totally in love with this whole concept. Our lives are made up of lots and lots of little things, and a lot of those little things for most people have to do with getting from place to place. And in order to connect and do things, to be with people, go places that t
9、hey need to go, and do things. And so there is a big part of my life thats missing, and there is a big part of my life that a self-driving vehicle would bring back to me. This is the first step for us and its really exciting to see the progress weve made. The opportunities for people to just move ar
10、ound, and not worry about it. Its gonna be incredibly empowering and incredibly powerful for people. I love this! Reading & InteractingI. Understanding the Text 1. Text Organization ParagraphsFunctionsMain IdeasParas. 12Providing background information to this research The ancient game of Go is prof
11、oundly complexPara. 3Summarizing what has and has not been done by other researchers to show that this research is original and a step forward AI researchers had tried very hard, but until this research, computers could only play Go as well as amateurs.Paras. 45Describing the different stages and th
12、e methods used in this research 1) AlphaGo, a system that combines an advanced tree search with deep neural networks, was built. 2) The neural networks were trained on 30 million moves from games played by human experts. 3) AlphaGo learned to discover new strategies for itself. Para. 6Presenting the
13、 actual results of this research 1) AlphaGo beat top computer Go programs. 2) AlphaGo beat European Go champion Fan Hui. Paras. 78Discussing the importance of this research and pointing out the next steps for research 1) Hopefully, in the future, general machine learning principles can be used to so
14、lve important realworld problems. 2) Next, AlphaGo will challenge the top Go player in the world. 2. Comprehension Check 2.1 Digging into detail 1. Because there are 10170 possible positions thats more than the number of atoms in the universe, and more than a googol times larger than chess. 2. They
15、use games as a testing ground to invent smart, flexible algorithms that can tackle problems, sometimes in ways similar to humans. 3. Traditional AI methods construct a search tree over all possible positions, whereas the methods used in AlphaGo combine an advanced tree search with deep neural networ
16、ks. 4. Learning through repeated trials, through which errors are corrected and correct solutions become knowledge. 5. Because the same techniques can be used to tackle real-world problems. 2.2 Understanding difficult sentences 1. B 2. B 3. A 4. A 5. B II. Focusing on Language in Context 1. Key Words & Expressions 1.1 1. My broth
