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6G �쁺紐낆쓣 �삁怨좏븯�뒗 �뒪����듃濡쒕땳�뒪(s |
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| 洹밸떒�쟻�쑝濡� 鍮좊Ⅸ �뜲�씠�꽣 �쟾�넚 �냽�룄��� �궙��� 吏��뿰�씠 �슂援щ릺�뒗 6G �떆���瑜� 以�鍮꾪븯湲� �쐞�빐�꽌�뒗 �쟾��� �깉濡쒖슫 諛섎룄泥� 援ъ“��� �옉�룞 �썝由ш�� �븘�슂�븯�떎. �뿬湲곗뿉 二쇰ぉ�븳 寃껋씠 諛붾줈 �뒪����듃濡쒕땳�뒪 湲곗닠�씠硫�, �씠�뒗 湲곗〈 �쟾�옄 �옣移섏쓽 ��섏쟾�븯��숈뿉 �뜑�빐 ��섏뒪���(spin)��숈씠�씪�뒗 �쟾�옄�쓽 �옄湲� 紐⑤찘�듃(�쉶�쟾�븯�뒗 �옄湲곗쟻 �꽦吏�)瑜� �솢�슜�빐 �젙蹂� 泥섎━�쓽 �뙣�윭�떎�엫�쓣 洹쇰낯�쟻�쑝濡� 諛붽�� �닔 �엳�뒗 湲곗닠�씠�떎. |
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The Evolution of Mon |
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| 저자 | David Orrell 외 |
| 출판사 | Columbia University Press |
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Off-Shoring the Back |
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| Let��셲 face it, there��셲 hardly a business topic that��셲 more emotionally charged than off-shoring: the new trend of outsourcing business processes to foreign workers. It is much cheaper to pay people in other countries to do this routine work because they are paid only a small fraction of the salaries that American workers receive. |
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Genetics Meets Innov |
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| In the field of genetics, scientists develop stronger species of corn and other crops through a process known as ��쐓eed, select, and amplify.��� First, they use a diverse range of seeds to grow several different varieties of the crop under various conditions, such as drought, frost, heavy rainfall, and so on. Then they select the seeds from the sturdiest and most productive strains of each generation of crops and cross-breed those with the desired trait for use in the next generation of test crops. Ultimately, over many generations, the scientists develop super-crops that produce more food, resist all types of weather and pests, and require less soil and water. |
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Genetic Algorithms A |
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| A significant challenge in managing today��셲 enterprise is quickly and effectively choosing among a large number of complex options and alternatives with subtle trade-offs. Fortunately, new computer applications using genetic algorithms can do a much better job at making these choices than a person using traditional analytical techniques. |
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