A map of sauna days in more than 14 provinces is coming.

Recently, "going out for five minutes and sweating for two hours" has become a true portrayal of southern friends, and a wave of large-scale sauna weather is affecting the southern region. In the next three days (July 28th to 30th), stewing will continue. Over 14 provinces, autonomous regions and municipalities will "steam sauna" together, and Guangdong, Fujian and other places will experience the "high-temperature brand sauna", which will make you sweat like a bath in minutes. China Weather Network launched a map of sauna days all over the country to see if you are the one to be steamed.

These places are comparable to "saunas" outdoors.

Mid-autumn has arrived. All the year round, this festival is the hottest time in most parts of China, especially in the south, where the humidity is obviously higher than that in the head. Apart from heat, the biggest feeling is boredom.

According to the map of sauna days in China launched by China Weather Network, more than 14 provinces, autonomous regions and municipalities in China will "steam sauna" together in three days from now to experience sweating. Among them, there is still a wide range of high temperature weather in Jiangnan and South China. The highest temperature in Zhejiang, Fujian, Jiangxi, Hunan and other places can reach 37 to 40 C, the local temperature is above 40 C, and the humidity is generally above 60%. The hot and humid steam is constantly supplied. Although there is no high temperature in some places in southern North China and Huanghuai, the humidity will increase after the rain, and it will become a place that must be "steamed" in the later stage.

Today, southern Jiangsu, southern Anhui, Shanghai, Zhejiang, most of Jiangxi, central and southern Hunan, Sichuan Basin, Fujian, Guangdong, Guangxi and eastern Hainan will be steaming in hot and humid conditions, especially in eastern Jiangnan and central South China, where the highest temperature is generally above 37℃, and the average relative humidity is basically over 60%, making it comparable to a "sauna room" outdoors and being "steamed" immediately after going out. In addition to the above-mentioned areas, Hubei, southern Henan, southwestern Shaanxi, eastern Sichuan, central Jiangsu and other places, although there is no high temperature weather, are still sultry and must be "steamed".

Tomorrow, the range of high temperature weather in the south will be reduced, but the highest temperature in Jiangxi, southern Hunan, southern Anhui, eastern Sichuan, Guangdong, most of Guangxi and other places is basically above 35℃. Although the wind is strong in some areas, the "sauna feeling" is still outstanding, and it is difficult to escape the hot and humid steam. Outside the range of hot and humid steaming, places where there is no high temperature, such as central Jiangsu, central Anhui and eastern Hubei, will also have the feeling of stewing and steaming, which is a place that must be "steamed".

The day after tomorrow, the scope of "the land that must be steamed" will be further expanded to the north. Except for Jiangnan and most parts of South China, the humidity in central and southern Hebei, northwestern Shandong and northeastern Henan will increase after the rain, and the highest temperature will basically be above 32℃, which will give you the same "sauna feeling" as in the south.

At the same time, although there is no sauna weather in the northwest, there is also high temperature weather. Under the sun, the road becomes "teppanyaki" every second, and it is necessary to do a good job of sun protection when going out to burn Jio.

The most enviable places are most of Northeast China, central and eastern Inner Mongolia, Qinghai, Tibet, western Sichuan and Guizhou. There is no sauna day or high temperature day, and it is in a state of "steaming".

Compared with the north, the south is more prone to sauna weather. From 1991 to 2020, big data show that the areas with frequent sauna days in China are concentrated in the south, among which Hainan, Guangdong and Fujian are the areas with the most frequent sauna days, with an average annual sauna days of more than 45 days. This is because in summer, the main body of the western Pacific subtropical high often controls most of the south of the Yangtze River and South China, and the temperature in downward flow increases, which leads to the hot and stuffy area. At the same time, the summer monsoon continuously transports water vapor, which increases the air humidity in this area. The high-humidity weather conditions also have a certain relationship with the geographical environment in the above areas. The middle and lower reaches of the Yangtze River are criss-crossed, with abundant water sources and strong evaporation. South China, on the other hand, is near the sea and has a high humidity.

Get "three more and two less" summer guide

Every summer, sauna days are the most difficult. In this kind of weather, high temperature and high humidity are combined, which makes it difficult to breathe. Why is the sauna day so hard? According to Wang Weiyue, generally speaking, people cool down by sweating in hot weather, and sweat can take away the heat generated by the human body in time. However, in sauna days, due to the high humidity and low wind speed, the evaporation rate of sweat is greatly slowed down, and clothes can be soaked after going out for a few minutes, feeling sticky all over.

Due to the imbalance between heat production and heat dissipation, people are prone to heatstroke in sauna days, especially the following types of people, which need special care. For example, people who drink less water and have underdeveloped sweat glands are not easy to sweat and suffer from heatstroke in sauna days; For people who are stressed and irritable, hot and humid weather will easily affect their hypothalamic ability to regulate emotions, leading to palpitation and chest tightness; People with poor cardiopulmonary function are prone to cardiovascular diseases in high temperature and high humidity environment.

How to prevent heatstroke and cool down in sauna days? This "three more and two less" summer guide needs to be known. First, drink plenty of water and replenish electrolytes lost due to sweating in time; Second, more ventilation, often staying in air-conditioned rooms is prone to dizziness, nasal congestion and other symptoms, so it is necessary to open the window in time to maintain indoor and outdoor air circulation; The third is to rest more, keep enough sleep for 6 to 8 hours, and increase the lunch break for about half an hour if possible to enhance immunity. We should also do two things less. First, we should reduce travel during the afternoon when the temperature is high. Second, if there are symptoms of heatstroke such as dizziness and nausea, we should rest immediately and drink cold water to cool down. If the condition is serious, we should go to the hospital immediately. Master the above guidelines to help you spend the summer safely.

Source: CCTV news client

Researchers can use the world’s largest chip supporting GPT-3 for free.

Since ChatGPT swept the world, companies have opened their wallets to explore this technology, and the field of artificial intelligence has set off a new wave of enthusiasm. It has also attracted people’s attention to GPT-3 of OpenAI, which is a large language model (LLM) behind phenomenal ChatGPT, and it provides similar human responses to queries.

However, the hardware for training code (mainly NVIDIA GPU) is in short supply and expensive, or only companies with strong financial resources can use it. However, Pittsburgh Supercomputing Center hopes to provide researchers with free access to the world’s largest chip to run the Transformers model. Microsoft has applied GPT-3 to AI technology in Bing search engine.

The Supercomputing Center (PSC) of Carnegie Mellon University and Pittsburgh University is launching a new round of access to the CS-2 system of Cerebras, which is widely used to train large-scale language models. CS-2 is the AI accelerator in the Neocortex supercomputing system of PSC.

CS-2 has a wafer-scale engine chip of Cerebras, which is considered to be the largest chip in the world with 850,000 cores. The chip is used in artificial intelligence (AI) and traditional supercomputing (such as the decarbonization project used in the National Energy Technology Laboratory), which provides more accurate results through logical calculation.

PSC welcomes high-performance computing projects mainly related to artificial intelligence and machine learning workload, but it is not popular with traditional high-performance computing applications. The project encourages applications to adopt AI algorithm to run traditional HPC workloads. These proposals must be non-patented and can only come from American research institutions or non-profit organizations.

In addition to GPT-3, CS-2 system also supports the popular BERT Transformers model.

Andrew Feldman, CEO of Cerebras Systems, said: "There is a lot of discussion about large language models and very large language models. However, after a given scale (for example, 13 billion parameters), the number of organizations that actually train a language model from scratch is very small. Because you need to solve a lot of hardware problems first. "

Generally, running the Transformers model requires a lot of data, data science knowledge and deep machine learning expertise. Training data takes several weeks, and hardware options include GPU and TPU(GPU is used by Microsoft for Bing and AI, while TPU is used by Google for Bard chat bots).

Neocortex of PSC has been used to study artificial intelligence in the fields of biotechnology, cosmic vision map and health science. The system is also used to study the method of deploying AI on the new memory model deployed in CS-2.

Cerebras’ WSE-2 chip in CS-2 contains 2.6 trillion transistors, and all related AI hardware is concentrated in a chip size. The system has 40GB SRAM on-chip memory, 20 PB bandwidth per second and 12 100Gigabit Ethernet ports. CS-2 is connected to HPE’s SuperdomeFlex system, which has 32 Intel XeonPlatinum 8280L chips, each with 28 cores, and the running frequency is as high as 4GHz.

In contrast, NVIDIA GPUs are usually distributed on many systems. Nvidia’s GPU relies on CUDA parallel programming toolkit, which is widely used to study artificial intelligence. Feldman: "I think we have a great chance to replace GPU and TPU and do it in a more effective way-achieve better goals with fewer mistakes."

The demand for ChatGPT has overwhelmed the OpenAI system, so the demand for AI computing will be overwhelming in the future.

Salt the wound! Messi was ridiculed by C Ronaldo fans: Is this the best in the world? C Ronaldo is GOAT

Last year’s FIFA World Cup Qatar 2022 left a deep impression on everyone. In FIFA World Cup Qatar 2022, there is no doubt that the biggest winner is the Argentine team. The Argentine team went all the way back without being optimistic, and finally won the championship in FIFA World Cup Qatar 2022. After winning the FIFA World Cup Qatar 2022 championship, the whole Argentine team was very happy, and Messi was undoubtedly the happiest.

Messi was called the king of the ball by the fans, but he lacked a World Cup champion in his career. Now Messi finally made up for this regret and he became a well-deserved king of the ball. Messi is recognized as the king of the ball, and some fans are definitely uncomfortable in their hearts. These fans are Cristiano Ronaldo’s fans, because Messi and Cristiano Ronaldo have been competing for many years. Unexpectedly, Messi defeated Cristiano Ronaldo and became the only king of the ball.

Although Messi has been called the king of the ball, there will be ups and downs in Messi’s performance on the court. Recently, in the Champions League, Bundesliga overlord Bayern Munich beat Paris Saint-Germain 2-0 at home and eliminated Paris 3-0 to advance to the quarter-finals. Paris striker Messi missed the Champions League quarter-finals for three consecutive years and has missed the Champions League honor for eight consecutive seasons. After the game, C Ronaldo fans ran to Messi’s social media to leave a crazy message mocking: Is this the best in the world? C Ronaldo is the GOAT.

Seeing Cristiano Ronaldo’s fans mocking Messi, everyone felt it was unnecessary, because Messi and Cristiano Ronaldo are both great football superstars, and they have achieved each other. Although Messi now has one more World Cup champion than Cristiano Ronaldo, Cristiano Ronaldo has never given up. He also hopes to win the World Cup like Messi four years later. It is also because of Messi’s existence that Cristiano Ronaldo can make continuous progress.

Both Messi and Cristiano Ronaldo have entered the end of their careers, and how many years they will play in the future is unknown. It is very likely that both of them will choose to retire. Messi and Cristiano Ronaldo have left very good memories for everyone. Even if they both retire, fans will miss them and will look at their highlights of the game.

Although Cristiano Ronaldo’s fans are not satisfied with Messi, Messi’s achievements are real, and Messi is now considered as the king of the ball. In this case, Cristiano Ronaldo’s fans should take it easy. I hope Messi and Cristiano Ronaldo’s fans can live in peace, and everyone expects these two fan groups to continue to support their beloved idols and cheer for them.

What is the concept and meaning of big data?

"Big data" is a data set with a particularly large volume and data categories, and such data sets cannot be captured, managed and processed by traditional database tools. "Big data" first refers to data volumes? Large refers to a large data set, usually in 10TB? However, in practical application, many enterprise users put multiple data sets together, which has formed PB-level data volume; Secondly, it refers to the large variety of data, which comes from a variety of data sources, and the types and formats of data are increasingly rich. It has broken through the previously defined structured data category, including semi-structured and unstructured data. Secondly, the speed of data processing is fast, and the real-time processing of data can be achieved even when the amount of data is huge. The last feature is the high authenticity of data. With the interest of new data sources such as social data, enterprise content, transaction and application data, the limitations of traditional data sources have been broken, and enterprises increasingly need effective information power to ensure their authenticity and security.

Data collection: ETL tools are responsible for extracting data from distributed and heterogeneous data sources, such as relational data and flat data files, into the temporary middle layer, cleaning, converting and integrating them, and finally loading them into data warehouses or data marts, which become the basis of online analysis and data mining.

Access to data: relational database, NOSQL, SQL, etc.

Infrastructure: Cloud storage, distributed file storage, etc.

Data processing: NLP (NaturalLanguageProcessing) is a subject that studies the language problems of human-computer interaction. The key to natural language processing is to make computers "understand" natural language, so natural language processing is also called NLU (NaturalLanguage Understanding), also known as Computational Linguistics. On the one hand, it is a branch of language information processing; on the other hand, it is one of the core topics of artificial intelligence.

Statistics: hypothesis test, significance test, variance analysis, correlation analysis, t-test, variance analysis, chi-square analysis, partial correlation analysis, distance analysis, regression analysis, simple regression analysis, multiple regression analysis, stepwise regression, regression prediction and residual analysis, ridge regression, logistic regression analysis, curve estimation, factor analysis, cluster analysis, principal component analysis, factor analysis, fast clustering method and clustering method

Data mining: Classification, Estimation, Prediction, affinity grouping or association rules, Clustering, Description and Visualization, complex data type mining (Text, Web, graphics, video, audio, etc.)

Prediction: prediction model, machine learning, modeling and simulation.

Results: Cloud computing, tag cloud, diagram, etc.

To understand the concept of big data, we should first start with "big", which refers to the data scale. Big data generally refers to the amount of data above 10TB(1TB=1024GB). Big data is different from massive data in the past, and its basic characteristics can be summarized by four V’s (Vol-ume, Variety, Value and Veloc-ity), namely, large volume, diversity, low value density and high speed.

First, the data volume is huge. From TB level to PB level.

Secondly, there are many types of data, such as weblogs, videos, pictures, geographical location information, and so on.

Third, the value density is low. Take video as an example. During continuous monitoring, the data that may be useful is only one or two seconds.

Fourthly, the processing speed is fast. 1 second law. This last point is also fundamentally different from the traditional data mining technology. Internet of Things, cloud computing, mobile Internet, Internet of Vehicles, mobile phones, tablets, PCs, and various sensors all over the globe are all data sources or ways of carrying them.

Leading the innovation and development of the industry with strength, what did cloud measurement data do right?

For the whole artificial intelligence industry, there is a great demand for AI technology in the fields including driving, security, finance, industry, medical care, education, etc. The rapid development of AI technology based on machine learning depends on the richness of the underlying big data, and a powerful model needs a data set with a large number of samples as its foundation. The quality and diversity of data will have a significant impact on the success or failure of algorithm models. The delivery of high-precision AI data not only helps the AI industry to land in scenes, but also brings a better user experience.

At the data level, with the development of AI technology, the data scale is constantly improving. According to IDC’s calculation, the global data scale will reach 163ZB; in 2025; At the same time, the AI data service industry has entered the stage of deep customization, and the service of data customization is carried out according to different scenarios and requirements, and the AI data requirements also transition from general simple scenarios to personalized scenarios.

In order to solve the practical problem of AI industrialization, cloud measurement data summed up many experiences and solutions, and used them in practice to help the development of the whole artificial intelligence scene application. Through its own technology, it has overcome the difficulties, designed scientific and standardized data processing processes from task creation to final acceptance, and flexibly met the diverse and high-precision data needs of customers. It has successively launched products and services such as "data scene laboratory", "AI data set management system" and "cloud measurement data annotation platform", providing high-quality, scene-based and large-scale processing of perceived data for many AI-related enterprises such as intelligent driving, smart city, smart home, smart finance and new retail.

Of course, it is not easy to keep the leading position of technology and industry in the tide of artificial intelligence. From the perspective of attack and exploration, it is not difficult to see that the reason why cloud measurement data can become an industry leader is not only due to the toughness of technology and product strength, but also the homeopathic development of service model and service concept, thus continuously injecting new vitality into the artificial intelligence industry and providing new kinetic energy for development.

First of all, data came into the market when the industry was on the rise, and the cloud measurement data with the first-Mover advantage was not satisfied with the dividends at that time, but constantly increased the technical input and improved the production efficiency by improving the technical level. Give full play to the power of "underlying technology+service capability" and provide end-to-end training data service solutions in autonomous driving, smart home, smart city and smart finance and other industries.

At the same time, cloud measurement data keeps forward-looking forecast on the development trends of hot industries and technologies, and prepares relevant tool chains and data service capabilities in advance to ensure adequate preparation to meet new AI data requirements. In the current AI data industry chain, there is a keen discovery of cloud measurement data, and there is still a lack of a systematic data solution for AI engineering. However, this systematic data solution for AI engineering is needed by many industries. In this context, the cloud measurement data industry launched a new generation of data solutions for AI engineering, which was undoubtedly a timely rain for many industry customers and solved their actual needs.

For this reason, cloud measurement data has launched a new generation of data solution for AI engineering. Through the mature data management and labeling platform, this solution can complete system integration with enterprises, support enterprise-defined pre-labeling, algorithm interface, personnel management, project management system and secure delivery of software and hardware support. Under the labeling environment that ensures data privacy and security, it highly supports the efficient circulation of data required by enterprises, continuously performs data processing tasks, and improves the large-scale production efficiency.

For example, in the field of automatic driving, it can realize Data cleaning and labeling in the data closed loop of DataOps (that is, the combination of data and Operations) of automobile enterprises, and improve the circulation efficiency by 2 times compared with the original process; In the aspect of retail goods inspection, through the cloud measurement data labeling platform, the container inspection data continues to flow back, and visual review and modification are carried out based on the pre-labeling results of the algorithm, which improves the efficiency by 3 times compared with manual labeling.

"Walk alone fast, go far". In the era of industrial intelligence, we can’t just rely on one enterprise to fight alone. The double value of industry and society will produce compound interest effect. Cloud measurement data also knows this well. It is also actively promoting the standardization of artificial intelligence data industry, and has participated in the compilation and release of "Requirements and Methods for Marking Point Cloud Data of Intelligent Networked Car Lidar" and "Requirements and Methods for Marking Image of Intelligent Networked Car Scene Data", contributing experience and wisdom to industrial intelligence, and promoting the construction of standardization system in the vertical field of AI data service. In addition, it also participated in the first series of standards of "Model/MLOps Capability Maturity Model", which filled the gap of the development and management standards of machine learning projects at home and abroad.

Summary:

As the vanguard of artificial intelligence data services, cloud data is actively promoting the accelerated development of AI training data services, contributing experience and wisdom to industrial intelligence, thus becoming a new paradigm of industry development. I believe that next, cloud measurement data will continue to improve. While continuously enriching its own service capacity building and deep cultivation technology, it will maximize the value of training data and deliver more excellent data support for artificial intelligence scenes.

If Michael Jackson is not a cylinder, what will be like 50 years old? Artificial intelligence tells you

Michael Joseph Jackson can absolutely be called a symbol of a era in the history of music. His music and dance have affected generations.

Perhaps he is too talented, its life has spent the dispute, among which the skin color and appearance are the largest. Even after many years of death, some people still assume that if he does not "bleach" skin and cosmetic, will it be?

Michael Jackson was killed in the King of Samway, Klin, 1992.

Below, you will look at a group of photos, look at his life, in each period. It is worth noting that the last photo is calculated by artificial intelligence, if he does not have a skin, it looks at 50.

In 1965, Jackson Jackson was on the stage for the first time and started the legendary life.

In 1978, Michael and met the music producer Quincy Jones, two people became a boring friend.

This is 1980, and he created a photo of the famous music "treasurer".

In 1983, Michael performs "space step" on the stage, shocked the world.

In 1988, Michael and Wang Hao Dianna met, creating MTV "Moonwalker", becoming the best-selling video belt in history.

In 1991, Jackson debuted in Africa, being crowned as "Sani King". At this time his skin has become white, and it has become a turning point for a lifetime.

In 1996, he divorced with a daughter of the Cat.

In 2005, after a year of forensics, "Love Book Case" finally reported that 14 accused of him were not guilty.

In 2009, 50-year-old Michael died in the United States.

If he doesn’t have a cylinder, what will he look like when he is 50 years old? Here’s this photo is artificially intelligent to give an answer.

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