标签归档 西安桑拿

[Global Network Technology Reporter Lin Di] At present, computing power has become one of the important supports for China’s high-quality development. With the advancement of the "East-to-West Computing" project and the explosive development of the artificial intelligence industry, the computing infrastructure construction represented by data centers has entered a new stage of high-quality and high-speed development.

Recently, the 17th annual ceremony of IDC industry in China focused on computing power layout, carbon neutrality, artificial intelligence, digital economy and other fields, and discussed the hot topics of data center industry such as high-quality development, new targets of carbon neutrality, hub node construction, and future computing scenarios.

He Baohong, director of the Institute of Cloud Computing and Big Data of China ICT Institute, analyzed the development trend of computing power. He pointed out that computing power is the core energy consumed in the digital world, and computing power is today’s "tertiary energy". In the past decade or so, the cloud, big data, blockchain and even the resources under the blockchain, as well as the big model of artificial intelligence, are pushing computing power towards concentration, and new ideas and solutions are needed to explore the sustainable development of computing power.

It is understood that with the accelerated integration of a new generation of information technology into thousands of industries, ubiquitous computing power is becoming a new engine to activate the potential of data elements and drive the digital transformation of the economy and society. Computing power has been widely used in digital government, industrial internet, smart medical care, distance education, financial technology, aerospace, cultural media and other fields. Among them, the computing power industry has continuously extended the industrial chain of Wulanchabu, such as server and cabinet manufacturing, data and network security, software research and development, data application services and other projects have been put into operation, boosting the construction of digital Wulanchabu.

Chai Yue, deputy mayor of Wulanchabu City, said in an interview that in 2022, the city’s computing-related industries completed an investment of 1.1 billion yuan, realized an output value of 2.6 billion yuan, and absorbed 2,700 jobs.

"The development of IDC industry can become a new kinetic energy for Wulanchabu to straighten corners and catch up later." Tong Xiaolin, the Big Data Administration of Wulanchabu City, pointed out that Wulanchabu has unique advantages in developing IDC industry. Wulanchabu is rich in energy, and the proportion of clean energy such as wind power and photovoltaic is high, and the natural cold source refrigeration time is nearly 10 months every year; Two point-to-point 144-core double-loop special optical cables with network delay less than 5 milliseconds have been built with Beijing. The geological structure is stable, the climate is cool, and the business environment is good.

Tong Xiaolin told reporters that the effective overall scheduling of computing resources, the matching of supply and demand, accurate configuration and the development of data center low-carbon life have become the primary issues facing IDC industry. "We have made several efforts-first, we have laid out energy-saving and energy-storage projects, and the" source, network and storage "integrated comprehensive application demonstration base project has been launched. The second is to encourage data center enterprises to adopt advanced green technologies such as high-efficiency refrigeration systems such as liquid cooling, distributed power supply, and modular computer rooms to reduce energy consumption. "

From the perspective of industrial demand, information technologies and applications such as 5G, industrial Internet, Internet of Things and artificial intelligence are accelerating their development and layout, and the demand for data centers is increasing due to the explosion of data volume. It is expected that in the next few years, the data center industry in Inner Mongolia will continue to maintain its growth trend by providing high-quality computing services for Beijing, Tianjin and Hebei.

Chai Yue said, "On the one hand, we attract data centers not only from the consideration of computing services, but also from the enterprise’s own innovative technology and comprehensive strength; On the other hand, we plan to build an integrated "cloudy" computing power dispatching center, which will guide the construction and access of computing power resources according to unified standards, realize the matching of computing power supply and demand, and improve the comprehensive shelf rate. "

In Zixing City, Hunan Province, the big data industry has promoted the development of industry and agriculture, and carried out scene applications such as smart city, industrial Internet, smart mine and smart agriculture.

Zhang Yong, deputy mayor of Zixing City, Hunan Province, told reporters that the "Dongjiang Lake Big Data Industrial Park" located in the scenic Dongjiang Bay is one of the most important explorations to develop the computing industry. In his view, the biggest demand for the development of IDC industry is the urgent need to introduce leading enterprises in IDC industry to form an industrial agglomeration effect. At the same time, it is necessary to introduce and cultivate data development and application enterprises and improve the upstream and downstream industrial chains of big data.

Zhang Yong pointed out that the next step will be to make computing resources come alive from four aspects. First, combine the action of "Giving Wisdom to All Enterprises" in Hunan Province, tap the value of industrial data, promote the deep integration of industrialization and informatization, promote intelligent manufacturing, and realize the digital transformation of industry; The second is to carry out the construction of smart agriculture, promote the application of Internet of Things technologies such as RFID, sensors and video surveillance in agriculture, and improve the level of agricultural digitalization; The third is to carry out construction actions such as smart transportation, smart medical care, smart education, and smart travel, promote the application of technologies such as big data, artificial intelligence, Internet of Things, and blockchain, and improve the digital level of social services; The fourth is to introduce and cultivate digital service enterprises, expand the ranks of enterprises, and improve the empowerment ability of local enterprises to apply the new generation of information technology.

It turns out that artificial intelligence may give us a better chance to find life on Mars.

A group of researchers led by the team of NASA Institute of Astrobiology (NAI) of SETI Institute recently released a study detailing how to use machine learning to more effectively determine where life may be hidden on the red planet, if it exists.

Scientists decided to use an area called Salar de Pajonales to run their project-this area is located at the intersection of Atacama desert and plateau, which is famous for being uninhabitable, but not uninhabitable-because it is considered as a good substitute for the surface of Mars. The team combined still images, samples and drone lenses to draw a map of life distribution in sparsely populated areas.

Then, the researchers brought the data back to the laboratory for training artificial intelligence. The goal is to teach computers to identify which areas are most likely to have life—such as small clusters of certain geological features or scarce water sources—and to be able to extrapolate this data to other locations. Theoretically, once AI knows the life-oriented details in Salar de Pajonales, it should be able to use these patterns to find the areas that are most likely to bear life in any terrain.

And the effect is surprisingly good. Once AI learns what it needs to recognize, researchers can combine machine learning with collected statistical ecological data to find signs of life 85% of the time. Without the help of artificial intelligence, the team was able to discover biometrics in less than 10% of the time.

You can imagine how helpful it is to find life on the surface of Mars. At present, we send rovers to the land of our next-door neighbors and look for life when they drive along their own paths. Although we try to choose a landing site that has a good chance of containing life (if it exists), it is different from the best and most promising area that the rover can microscopically observe around the planet it is driving.

The research team made it clear that although the speed at which artificial intelligence-assisted programs find life is incredible, it is equally exciting to find a process that can combine long-distance and short-distance data into useful maps to find microbial life. "Although the high biometric detection rate is the core result of this study, it is equally important that it successfully integrates data sets with different resolutions from orbit to ground, and finally links regional orbit data with microbial habitats," Nathalie A said. Cabrol, an astrobiologist and the lead researcher of NAI group of SETI Institute. "Our team showed a way to transition from the scale and resolution needed to characterize livability to the scale and resolution that can help us find life."

I hope we can integrate this technology into rovers, helicopters and drones going to Mars in the near future. Maybe this will be the ticket to finally find life on the red planet.