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英語 高校生

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Radio Host: durlar aind Roger Ali: Radio Host: Roger Ali: Radio Host: Roger Ali: Radio Host: Roger Ali: Roger Ali: Radio Host: Roger Ali: Radio Host: Welcome back. As I mentioned before the break, Roger Ali is with us today to talk about artificial intelligence. Thank you for being here, Dr. Ali. Thank you for having me. I'll be honest with you. When I hear the words "artificial intelligence," the first thing I think of is the character HAL from the movie 2001: A Space Odyssey. ch tud goons bad Radio Host:ome In other words, the search engine draws conclusions about what we're looking for on the Internet. Roger Ali: Sure. Many people remember HAL. In the movie, he's the computer that controls the systems of a spacecraft. He also speaks with the people on the spacecraft. And he's not very happy when the people decide to turn off the computer. In the movie, HAL becomes very dangerous. That's right, but fortunately, artificial intelligence in the real world isn't like HAL. Well, that's good! Can you tell us what is happening in the field of AI? Many interesting things. For example, when we search for something on the Internet, the search results that we see are chosen carefully. The search engine has learned which websites are the most popular, the most reliable, and so on. This prevents us from seeing a lot of websites we're not really interested in. Tosa Right, so it only shows us the information it thinks we want to see, which includes go advertisements as well. We usually see only ads for products that the computer thinks we might want to buy. You said, "It thinks," but is the search engine really thinking? IST That depends on your definition of thinking. The search engine is capable of learning machine learning-and it does have knowledge. Knowledge about the Internet. Are learning and knowledge part of your definition of thinking? They're part of it, but human beings are capable of so much more. We have our senses hearing, smell, sight, touch, taste-and our emotions. We notice a lot about the world, and we use our judgment to make decisions. That's true, and most computer scientists know that we can't replace human beings with computers. We don't intend to make robots for every kind of job, either. That's just not practical.

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英語 高校生

英文がわからないです心の優しい方、英文の解き方を教えて欲しいです🙇‍♀️

35 15 20 signatures in business. However, no one used fingerprints in crime work until the late In ancient times, people used fingerprints to identify people. They also used them as 1880s. Three men, working in three different areas of the world, made this possible. (1) The first man who collected a large number of fingerprints was William Herschel. He worked for the British government in India. He took fingerprints when people (7) official papers. For many years, he collected the same people's fingerprints several times. He made an important discovery. Fingerprints do not change over time. At about the same time, a Scottish doctor in Japan began to study fingerprints. Henry Faulds was looking at ancient Japanese pottery* one day when he noticed small It occurred to him that the lines were 2,000-year-old fingerprints. Faulds wondered, "Are fingerprints unique to each person?" He began to take fingerprints of all his friends, co-workers, and students at his medical school. Each print was (). He also wondered, "Can you change your fingerprints?” shaved the fingerprints off his fingers with a razor to find out. Would they grow back lines on the pots. (2) He the same? They did. One day, there was a theft in Faulds's medical school. Some alcohol was missing. Faulds found fingerprints on the bottle. He compared the fingerprints to the ones in his records, and he found a match. The thief was one of his medical students. By examining fingerprints, Faulds solved the crime. Both Herschel and Faulds collected fingerprints, but there was a problem. It was very difficult to use their collections to identify a specific fingerprint. Francis Galton in England made it easier. He noticed common patterns in fingerprints. He used these to help classify fingerprints. These features, called "Galton details," made it easier for police to search through fingerprint records. The system is still in use today. When 25 police find a fingerprint, they look at the Galton details. Then they search for other fingerprints with similar features. (4) Like Faulds, Galton believed that each person had a unique fingerprint. According to Galton, the chance of two people with the same fingerprint was 1 in 64 billion. Even the fingerprints of identical twins are ( ). Fingerprints were the perfect tool to 30 identify criminals. For mo than 100 years, no one found two people with the same prints. Then, in 2004, terrorists (I) a crime in Madrid, Spain. Police in Madrid found a fingerprint. They used computers to search databases of fingerprint records all over the world. Three fingerprint experts agreed that a man on the West Coast of the United States was one of the criminals. Police arrested him, but the experts were wrong. The man was innocent. Another man was (). Amazingly, the two men who were 6,000 5 10 136 Lesson 日本大学 470 words 22 (3) 23 024 25 26

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