2019수능특강 영어 26강 본문

수능특강 영어 26강.hwp

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수능특강 영어 26강

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Virtual representation of cultural heritage means using technologies, such as digital photography, 3D information acquisition, multimedia, and virtual reality, to create a virtual situation that can allow experience to a cultural heritage, which can provide the protection and spread of the cultural heritage. For material cultural heritage, such as relics, groups of buildings and ruins, we can use virtual representation technology to restore the appearance of cultural heritage by the models in real life and display it comprehensively. For intangible cultural heritage, we look to find the best way based on its features to reconstruct and integrate forms of visual or experience by making intangible into tangible. In addition, we can combine material cultural heritage with intangible cultural heritage and make the preservation and transmission of cultural heritage more three-dimensional and deeper.

 

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As cars are becoming less dependent on people, the means and circumstances in which the product is used by consumers are also likely to undergo significant changes, with higher rates of participation in car sharing and short-term leasing programs. In the not-too-distant future, a driverless car could come to you when you need it, and when you are done with it, it could then drive away without any need for a parking space. Increases in car sharing and short-term leasing are also likely to be associated with a corresponding decrease in the importance of exterior car design. Rather than serving as a medium for personalization and self-identity, car exteriors might increasingly come to represent a channel for advertising and other promotional activities, including brand ambassador programs, such as those offered by Free Car Media. As a result, the symbolic meanings derived from cars and their relationship to consumer self-identity and status are likely to change in turn.

 

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My own reading and thinking habits have shifted dramatically since I first logged on to the Web fifteen years ago or so. I now do the bulk of my reading and researching online. And my brain has changed as a result. Even as I’ve become more adept at navigating the rapids of the Net, I have experienced a steady decay in my ability to sustain my attention. ”As I explained in the Atlantic in 2008, “What the Net seems to be doing is chipping away my capacity for concentration and contemplation. My mind now expects to take in information the way the Net distributes it: in a swiftly moving stream of particles.” Knowing that the depth of our thought is tied directly to the intensity of our attentiveness, it’s hard not to conclude that as we adapt to the intellectual environment of the Net our thinking becomes shallower.

 

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Cognitive computing is supported by machine learning and deep learning technology, which allows computers to autonomously learn from data. This technology means computers can change and improve their algorithms by themselves, without being explicitly programmed by humans. How does it work? Put simply, if we give the computer a picture of a cat and a picture of a ball, and show it which one is the cat, we can then ask it to decide if subsequent pictures contain cats. The computer compares other images to its training data set (i.e. the original cat image) and comes up with an answer. Today’s machine learning algorithms can do this unsupervised, meaning they do not need their decisions to be pre-programmed. The same principle applies to even more complex tasks, albeit with a much larger training set. Google’s voice recognition algorithms, for instance, work from a massive training set, but it’s still not nearly big enough to predict every possible word, phrase or question.