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» Forum » Verbund semper fidelis » BnD und NaP´s Anfragen » It relies on a


It relies on a
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# 11.07.2018 - 08:39:57
    zitieren



BEIJING Manuel Locatelli Jersey , Feb. 17 (Xinhua) -- In China's southern manufacturing hub Dongguan, a shoe factory is shutting down and laying off 1,900 employees.


A subsidiary of Stella International Holdings, the factory is one of the most important production and processing bases for brands like Nike, Prada and ECCO.


"With demand shrinking and wages rising, we had no choice but to shut down M'Baye Niang Jersey ," said Zhong Weijie, a human resource manager of Stella International Holdings. "The capacity will move to Southeast Asia."


But it is not all doom and gloom.


An hour's drive from Dongguan in Shenzhen, smartphone maker Huawei announced sales revenue of 60.1 billion U.S. dollars in 2015, and predicted 81.8 billion U.S. dollars this year. Huawei is now the world's third biggest smartphone maker after Samsung and Apple, and rapidly expanding.


These two stories are a snapshot of what's happening in Chinese factories: traditional manufactures battle overcapacity, while new industries blossom.


Huawei has achieved its success through continual innovation. Every year Lucas Ocampos Jersey , 10 percent of revenue is plowed back into R&D. Almost half of its employees engage in R&D in some way or another.


The shift of manufacturing pattern is seen in China's exports. Processing, labor-intensive and using little technology, is being replaced by general trade, which involves domestic products and technology. General trade now accounts for 58.4 percent exports.


In May 2015, China rolled out the "Made in China 2025" plan to shift away from low-end manufacturing to more value-added production. Local governments have offered tax incentives to high-tech companies and guided private funds into innovative projects.


As tech-intensive production becomes lucrative, traditional manufactures are adapting.


"It's true that fields with overcapacity problems have operational difficulties Lucas Biglia Jersey , but by improving energy efficiency, we also see many opportunities," said Yin Jianan, chairman of Shanxi Blower Machinery Company.


Opportunities also lie in international cooperation. By establishing factories overseas, many Chinese manufacturers have found ways to digest excess capacity with lower labor-costs abroad.


Overseas mergers by Chinese firms increased by 40 percent in 2015, most of which led by private manufacturers buying out foreign businesses tech advantages of valuable brands Luca Antonelli Jersey , according to PricewaterhouseCoopers (PwC).


"We believe the trend will continue," said Liu Yanlai, a partner with PwC, "China-led multinationals are going onto the world stage."


Just as China relied on manufacturing to rise in the past, the sector is still a pillar industry. Chinese manufacturing is not fading, it's just changing.


BEIJING Leonel Vangioni Jersey , Feb. 2 (Xinhua) -- Chinese stocks closed higher Friday led by coal and cement sectors.


The benchmark Shanghai Composite Index went up 0.44 percent to close at 3,462.08 points. The Shenzhen Component Index closed 0.56 percent higher at 10,925.16 points.


The ChiNext Index, tracking China's NASDAQ-style board of growth enterprises, gained 0.3 percent to end at 1,702.43 points Friday.


Combined turnover on the two bourses stood at 462.8 billion yuan (73.8 billion U.S. dollars) Leonardo Bonucci Jersey , down from 567 billion yuan the previous trading day.


Nearly 1,200 stocks gained among the two bourses with coal and cement sectors leading the rise.


Shanxi Coking surged by the daily limit of 10 percent to close at 13.71 yuan and Gansu Shangfeng Cement rose by the daily limit of 10 percent to end at 12.91 yuan.


Listed companies in China reported rapid profit growth in 2017 as the country's supply-side structural reform began to bear results.


Most companies in traditional sectors such as coal and steel posted strong growth on the back of the country's economic restructuring and business environment improvement.


Nineteen out of 20 companies that have released 2017 reports in the coal sector saw profit growth as China continues to slash excess coal capacity and product prices increase.




WASHINGTON, Feb. 2 (Xinhua) -- An international team has shown that quantum computers can analyze relationships within large sets of data faster than classical computers, for a wider array of data types than previously expected.


The study, published on Friday in American journal Physical Review Letters, proposed a "quantum linear system algorithm" that could conduct quantum computation with application in artificial intelligence (AI) and crunch numbers on problems such as commodities pricing Keisuke Honda Jersey , social networks and chemical structures.


The linear system algorithm, first proposed in 2009, works on a large matrix of data and has kick-started research into quantum forms of machine learning, or artificial intelligence.


"There is a lot of computation involved in analyzing the matrix. When it gets beyond say 10,000 by 10,000 entries Juraj Kucka Jersey , it becomes hard for classical computers," explained Zhao Zhikuan, the paper's corresponding author from Singapore University of Technology and Design.


Zhao also said the previous quantum algorithm of this kind can be applied to a very specific type of problem. This is because the number of computational steps goes up rapidly with the number of elements in the matrix: every doubling of the matrix size increases the length of the calculation eight-fold.


Zhao and his colleague in Singapore, Switzerland and the United Kingdom, present a new algorithm that is faster than both the classical and the previous quantum versions.


It relies on a technique known as quantum singular value estimation and can cope with data not limited to "sparse" ones as required by the previous versions.


There are limited relationships among the elements in sparse data, but it is often not true of real-world data Jose Sosa Jersey , Zhao said.


For example, a trader might be trying to predict the future price of goods. .

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