CCTV News:The Central Meteorological Observatory continued to issue typhoon forecasts at 10: 00 on October 2.

　　This year’s No.14 typhoon "Little Dog" was upgraded from typhoon level to strong typhoon level this morning (2nd). At 8 o’clock in the morning, its center is located on the northwest Pacific Ocean about 740 kilometers south-east of Taiwan Province, China, which is 19.2 degrees north latitude and 127.3 degrees east longitude. The maximum wind force near the center is 14 (42m/s), and the lowest pressure at the center is 955 hectopascals.

　　It is estimated that "Little Dog" will move to the northwest at a speed of 10-15km/h, and gradually approach to the east of Taiwan Province, and its intensity will gradually increase, with the strongest typhoon level (16-17, 52-58m/s). It will land on the southeast coast of Taiwan Province from the morning of 5th to the morning, then move to the west after landing, and enter the northeast of the South China Sea, and its intensity will gradually weaken.

　　Gale forecast:　From 14: 00 on the 2nd to 14: 00 on the 3rd, there will be 6-8 winds in the south of the East China Sea, east of Taiwan Province, bashi channel, Taiwan Province Strait, northeastern South China Sea, Fujian coast and Taiwan Province island coast, 9-12 winds in the offshore of the northeastern Philippines, 13-15 winds in the nearby sea where the typhoon center passes, and 16-17 gusts. Please pay attention to the safety of navigation for passing ships.

　　Beijing, December 10, 2007 (Reporter Han Meng) According to the News and Newspapers Summary of Voice of China, China Central Radio and Television Station, the Ministry of Industry and Information Technology recently introduced that China’s new energy vehicles have developed rapidly, and at the same time, they have integrated various revolutionary technologies such as artificial intelligence, Internet and big data, and the ecology of the automobile industry is being completely reshaped.

　　At present, the development of new energy vehicle industry in China has achieved positive results. In 2023, the production and sales of new energy vehicles in China are close to tens of millions, which has cultivated the world’s largest new energy vehicle consumption market and built an efficient and collaborative industrial system, which has injected a strong impetus into the electrification transformation of the global automobile industry.

　　In addition, the industrial chain and value chain of new energy vehicles are continuously expanding to the fields of transportation, energy, information and communication, and China is accelerating the construction of a new ecology of the automobile industry.

　　Xin Guobin, Vice Minister of the Ministry of Industry and Information Technology: Accelerate the promotion and application of new energy vehicles, jointly promote the low-carbon development of energy supply, material supply, manufacturing and other links, and improve the green recycling ecosystem.

　　The Ministry of Industry and Information Technology also said that China will actively promote the innovative development of new energy and intelligent networked vehicles, support the research and development and industrialization of new generation power batteries, new chassis, intelligent driving and other technologies, carry out pilot projects for the production access and road traffic of intelligent networked vehicles, and carry out the pilot application of city-level integration of "cars can Lu Yun".

　　According to the "Shanghai Release" WeChat WeChat official account news, today (December 1), the Shanghai Municipal Government Information Office and the Municipal Health and Wellness Commission published online to inform the city of epidemic prevention and control, regional risk level modulation and other relevant information.

　　Issued by the Municipal Health and Wellness Commission: On December 1st, 8 local confirmed cases of pneumonia in Covid-19 and 4 local asymptomatic infected people were added to Shanghai society. The emergency response mechanism of epidemic prevention and control in the city and district responded immediately, carried out epidemiological investigation, investigation of relevant personnel, sampling detection and prevention and control management, and implemented epidemic prevention measures such as terminal disinfection of relevant places and environment.

　　Infected person 1: female, 24 years old, living inNo.753 Yuyuan Road, Jiangsu Road Street, Changning DistrictDue to physical discomfort, the result of nucleic acid detection was abnormal, and it was positive by the disease control department, and it was diagnosed as a confirmed case of pneumonia in Covid-19 (mild). It has been transferred to designated medical institutions for isolation treatment.

　　Epidemiological investigation shows that the activity track of the infected person mainly involves Building 2, No.753 Yuyuan Road, Changning District, in addition to the place of residence.

　　Infected person 2: female, 25 years old, living inLane 888, Luojin Road, Meilong Town, Minhang DistrictDue to physical discomfort, the result of nucleic acid detection was abnormal, and it was positive by the disease control department, and it was diagnosed as a confirmed case of pneumonia in Covid-19 (mild). It has been transferred to designated medical institutions for isolation treatment.

　　Epidemiological investigation shows that the activity track of the infected person mainly involves Shanghai Hongzhu Trading Co., Ltd., No.190 Hubin Road, Huangpu District, and Hongjie Hot Pot (Hongkou Store), No.444 Dongjiangwan Road, Hongkou District.

　　Infected person 3: female, 34 years old, living inYanjisi Village, Yanji Xincun Street, Yangpu DistrictAbnormal results were found in normalized nucleic acid detection, which was positive after review by the disease control department, and was diagnosed as a confirmed case of pneumonia in Covid-19 (mild). It has been transferred to designated medical institutions for isolation treatment.

　　Epidemiological investigation shows that the activity track of the infected person mainly involves No.763 Hongshan Road, Pudong New Area and Lane 385 Quyang Road, Hongkou District, in addition to the place of residence.

　　Infected person 4: male, 39 years old, living inLane 1940, Xinzha Road, Caojiadu Street, Jing ‘an DistrictAbnormal results were found in normalized nucleic acid detection, which was positive after review by the disease control department, and was diagnosed as a confirmed case of pneumonia in Covid-19 (mild). It has been transferred to designated medical institutions for isolation treatment.

　　Epidemiological investigation shows that the activity track of the infected person mainly involves Mustall on the first floor of Building 2, No.881 Wuding Road, Jing ‘an District, and Upstairs on the second floor of No.990 Wuding Road.

　　Infected person 5: female, 29 years old, living inLane 850, Xitailin Road, Sanlin Town, Pudong New AreaAbnormal results were found in normalized nucleic acid detection, which was positive after review by the disease control department, and was diagnosed as a confirmed case of pneumonia in Covid-19 (mild). It has been transferred to designated medical institutions for isolation treatment.

　　Epidemiological investigation shows that the activity track of the infected person mainly involves Jiangnan Ningbo Xiangshan Seafood Hotel (Huangpu Branch) on the 1st-3rd floor, No.600 Luban Road, Huangpu District, in addition to the place of residence.

　　Infected person 6: female, 49 years old, living inLane 505, Jiudu Road, Jiuliting Street, Songjiang DistrictDue to physical discomfort, the result of nucleic acid detection was abnormal, and it was positive by the disease control department, and it was diagnosed as a confirmed case of pneumonia in Covid-19 (mild). It has been transferred to designated medical institutions for isolation treatment.

　　Epidemiological investigation shows that the activity track of the infected person mainly involves Ruhai Supermarket, No.1039 Laiyin Road, Songjiang District, Beimen Deli Shop, No.495 Jiudu Road, Yikouxian Fresh Supermarket, No.540-554 Jiuyi Road, and Yibaihui Lifestyle Supermarket, No.881 Huting North Road, in addition to the place of residence.

　　Infected person 7: female, 61 years old, living inLane 398, Chongfu Road, Ma Lu Town, Jiading DistrictAbnormal results were found in normalized nucleic acid detection, which was positive after review by the disease control department, and was diagnosed as a confirmed case of pneumonia in Covid-19 (mild). It has been transferred to designated medical institutions for isolation treatment.

　　Epidemiological investigation shows that the activity track of the infected person mainly involves Youpin Mart Supermarket (Chongfu Road Store), No.417 Chongfu Road, Jiading District, Room 305, No.615 Anpu Road, Yangpu District (Sin Chew Nanyang), and No.25, Lane 348, Shaoshan Road, Baoshan District.

　　Infected person 8: male, 49 years old, living inLane 6, Yingwei Road, Yutang 1 ST Village, Chedun Town, Songjiang DistrictAbnormal results were found in normalized nucleic acid detection, which was positive after review by the disease control department, and was diagnosed as a confirmed case of pneumonia in Covid-19 (mild). It has been transferred to designated medical institutions for isolation treatment.

　　Epidemiological investigation shows that the activity track of the infected person is mainly related to Zhongli Chinese Breakfast at No.131, Lane 58, Yingjia Road, Songjiang District, JD.COM Convenience Store at No.58 Yingjia Road, Shaanxi Snacks at Room 1112, Building 4, No.456 Nanle Road, Shiwei Restaurant at No.428 Yindu West Road and Jiuxing Charging Pile.

　　Infected person 9: male, 35 years old, living inNo.4068, Caoan Highway, Anting Town, Jiading DistrictAbnormal results were found in normalized nucleic acid detection, which was positive after review by the disease control department and was diagnosed as asymptomatic infection. It has been transferred to designated medical institutions for isolation medical observation.

　　Epidemiological investigation shows that the activity track of the infected person is mainly related to E1-73 Shanghai Feizai Industrial Co., Ltd., No.4031 Cao ‘an Highway, Anting Town, Jiading District, and Meicai.com Logistics, No.1498 Tieli Road, Baoshan District.

　　Infected person 10: male, 53 years old, living inLane 1728, Hongmei South Road, Meilong Town, Minhang DistrictAbnormal results were found in normalized nucleic acid detection, which was positive after review by the disease control department and was diagnosed as asymptomatic infection. It has been transferred to designated medical institutions for isolation medical observation.

　　Epidemiological investigation shows that the activity track of the infected person is mainly related to China Post (Lianhua South Road Store), Building 4, Lane 1971, Lianhua South Road, Minhang District, and Jinhaishangwan, Lane 399, Anya Road, Jiading District.

　　Infected 11: male, 42 years old, living inLongnansan Village, Longhua Street, Xuhui DistrictAbnormal results were found in normalized nucleic acid detection, which was positive after review by the disease control department and was diagnosed as asymptomatic infection. It has been transferred to designated medical institutions for isolation medical observation.

　　Epidemiological investigation shows that the activity track of the infected person mainly involves No.1130 Tianyaoqiao South Road in Xuhui District, No.1700 Taihe Road in Baoshan District and No.5588 Shangnan Road in Pudong New Area (dry goods area).

　　Infected person 12: female, 37 years old, living inLane 198, Zhongshan Nanyi Road, Bansongyuan Road Street, Huangpu DistrictAbnormal results were found in normalized nucleic acid detection, which was positive after review by the disease control department and was diagnosed as asymptomatic infection. It has been transferred to designated medical institutions for isolation medical observation.

　　Epidemiological investigation shows that the activity track of the infected person is mainly related to Pingguolian Fresh Supermarket, No.668 Quxi Road, Huangpu District, and Apple Garden, No.160 Jiazhai Road, Xiling, except the place of residence.

　　As of 16: 00 on December 1st, a total of 1011 close contacts in Shanghai have been investigated, and isolation control has been implemented. Among them, the nucleic acid test results of 739 people are as followsnegative, the rest are being tested.

　　A total of 1,266,802 people were screened for related risks, of which 1,266,231 were found to have nucleic acid detection results as followsnegative, the rest are being tested.

　　A total of 934 samples of articles and environment in relevant places were investigated, of which 20 samples (environmental samples of infected people’s residence and workplace) showed the following results.positive, 749 pieces of nucleic acid detection results are as followsnegative, the rest are being tested.

　　According to the relevant provisions of the novel coronavirus Prevention and Control Plan (Ninth Edition) and the Notice on Further Optimizing the Prevention and Control Measures of COVID-19 Epidemic, and doing a good job in prevention and control scientifically and accurately, the Office of the Leading Group for Epidemic Prevention and Control of COVID-19 City decided to study.No.28, Lane 850, Xitailin Road, Sanlin Town, Pudong New Area; No.13, Lane 198, Zhongshan South Road, Bansongyuan Road Street, Huangpu District; No.63, Longnan Third Village, Longhua Street, Xuhui District; No.1130, Tianyaoqiao South Road, Longhua Street, Changning District; No.9, Lane 1940, Xinzha Road, Caojiadu Street, Jing ‘an District; No.1, Lane 385, Quyang Road, Ouyang Road Street, Hongk Building No.4, Lane 398, Chongfu Road, Ma Lu Town, Jiading District, No.3, Lane 6, Yingwei Road, Chedun Town, Songjiang District, No.408, Laifang Road, Jiuliting Street, Songjiang District, Building No.12, Moka Town, Lane 505, Jiudu Road, Jiuliting Street, Songjiang District, and No.35, Lane 123, Qingfeng Road, xia yang Street, Qingpu District are classified as high-risk areas, and Longhua Street in Xuhui District, Jiangsu Road Street in Changning District, Ouyang

　　　 The romantic romantic comedy "Paris Baby," starring Deng Chao and Jane Maggie, produced by Hairun Pictures, was released nationwide on August 25. Recently, the main creators were in Shanghai to build momentum for the film. As the son-in-law of Shanghai, Deng Chao showed his "home court" momentum. Not only did he show off the Pidgin Shanghai dialect to greet everyone, but Sun Li’s mother also made a special trip to cheer on her son-in-law’s new film. When asked about the title of "Three Good Dads", Deng Chao said with a smile, "Good temper is true, but English is surprise. As for cooking skills, I can only make Sun Li a boiled egg, rice noodles or something."

"Three Good Dad" is a shame, poor cooking skills are good at boiled eggs

　　　 Deng Chao was the first to experience the ups and downs of a "trendy dad" in "Paris Baby", and played a warm and funny "cat-and-mouse game" with "daughter" Button. Button also gave a high evaluation of Deng Chao’s father’s performance, calling him "Three Good Dads", "He has good English, a good temper, and good cooking skills." However, Deng Chao, who is about to be upgraded to "Human Father" in his life, humbly said that he deserved it. "It is true that he has a good temper in the’three good ‘, but his English is surprise. As for cooking skills… I can develop it. A man who can cook is very attractive. I knew a chef in New Zealand before who would ride his bike up the mountain to prepare ingredients and ask others for their opinions on each dish. He was focused and calm." Now his beloved wife, Sun Li, is waiting to give birth at home, and Deng Chao is slowly practicing cooking, "Now that Sun Li is pregnant at home, it is inconvenient to go out to eat, and I sometimes make a boiled egg, rice noodles or something." When a reporter complained that Sun Li had revealed that Deng Chao’s boiled eggs were not cooked, Deng Chao confidently said, "Now it can definitely be cooked, and the eggs can be peeled without the skin."

Deng Chao revealed that he stopped work to accompany his beloved wife, and Sun Li’s mother joined the new film on behalf of her daughter

　　　 Together with the buttons, Deng Chao always exudes a strong paternal love, making people feel his "good father" side. According to Deng Chao, Sun Li is at home and waiting for labor. In order to be able to accompany his beloved wife more wholeheartedly, he has recently suspended most of his work. Earlier, Deng Chao said during the promotion of the film in Chengdu that he was actually preparing for the baby to be born. "Including things like breastfeeding and changing diapers, I don’t know anything at all. I even plan to enroll in a study class to learn how to take care of children." When talking about expectations for the baby to be born, Deng Chao replied simply: "Boys and girls can do it." Regarding the child’s future, Deng Chao said, "You can’t ask for extravagant things, I hope he has a different and beautiful future."

　　　 That night, Sun Li’s mother made a special trip to replace her daughter in labor for Deng Chao’s new film "Paris Baby", and Deng Chao ran around and took good care of it, just like a filial son-in-law. It is reported that Sun Li has not seen the film, and Deng Chao said that he will definitely let Sun Li go to the theater to see how he looks like a father.

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Special feature of 1905 film network With the combination of film and television and cities, many cities have repeatedly "out of the circle" by means of film and television communication. This issue of "Today’s Film Review" invited Liu Zhaohui, an observer of the cultural tourism industry, to talk about the city business cards in the film.

This year’s hit drama Blossoms Shanghai — — Shanghai’s "magic capital" has brought everyone back to the atmosphere of being addicted to money.

— — Xiangyang is also my hometown. In many places in Xiangyang, people can experience some temperatures in Hi, Mom’s work.

If You Are the One — — Sanya is also the first choice for many tourists to punch in.

— — In Taiyuan, the suspense style of the drama "Man Jiang Hong" moved to a new scene, and the plot changed rapidly in a relatively narrow space, which filled the audience with suspense.

So many cities and movies are well linked together, which makes these cities look unique with their own human and geographical temperament. At the same time, film and television works will also achieve the refinement of urban cultural temperament to some extent, including the excavation of its personality. Some solidification of IP has brought the audience a brand-new understanding of the city and made mutual achievements that complement each other.

Blossoms Shanghai, for example, shows the prosperity of the city in 1980s and 1990s, which is full of details of Shanghai culture, with particular emphasis on accent and contractual spirit.

In addition to Shanghai, Chongqing, another municipality directly under the Central Government, is also a scenic spot that coexists with film and television works. Chongqing is located in the southwest of Bashu, in the mountains, with a long history and culture, which shapes the character of Chongqing people to be tenacious, stubborn and romantic.

For example, film and television works such as Chongqing are chosen, which obviously finds a perspective that fits the character image of this city.

In addition to the suspenseful colors and romantic temperament displayed by the mountains and rivers, Chongqing’s patchwork neon landscape created by the staggered mountains and rivers has refreshed the city’s business card through the high communication power of film and television works, bringing more tourists to pay attention to such a distinctive city.

In recent years, many cities have independently displayed their business cards.

Potatoes — — Harbin corresponding to the recent fire. Harbin citizens affectionately call tourists from the south "small potatoes" and "small golden beans". Its charm of ice and snow is the biggest business card and feature of this city.

Diving — — This is uncle Tianjin’s diving. Diving reflects people’s sense of relaxation and humor in life in this city, as well as an attitude towards leisure in life.

Rock and roll — — Shijiazhuang. The earliest rock magazine in China was actually born in Shijiazhuang. At the same time, several bands were also excellent in the early days, making it a rock city.

Shaping a city’s business card requires the integration and symbiosis of the city’s own humanistic temperament, historical accumulation and local culture to form a unique character with its own development. These personalities penetrate the hearts of the audience step by step through film and television communication and become the best choice for people to travel during holidays.

For example, Zhenbeibao Film and Television City, due to its early shooting, has solidified some of our understanding of it. Studios continued this style, shooting and creating a cultural travel scene. If a movie has a chance to explode here, it is also a good business development strategy to hold this "thigh".

For example, the director’s filming location in Zhoushan, Zhejiang Province, puts the film review right of marine film and television under the scope of the whole cultural tourism bureau, which means that all films related to marine themes in Zhejiang Province must be reviewed by the Zhoushan government. First, it can ensure that the traffic can continuously attract more themes of marine film and television to create here, and second, it should be organically linked with the combination of cultural tourism.

Every city has its own story, and there is a lot of work that film and television workers can do if they want to tell these local stories well and make the city and film and television complement each other. In addition to the above-mentioned place names, there are many places in 1866 districts and counties in China that are not well known. Through film and television works, we can not only spread the brand for the destination, but also develop the cultural tourism industry and promote the development of society.

Like The Longest Day In Chang’an, which was released in the summer before, it caught fire in Xi ‘an. In 2023, there was another blessing. In addition to its own temperament, Xi’ an actively cooperated with film and television, and further explored the IP of the Tang Dynasty, which became an excellent case of mutual benefit and win-win.

Many tourists go to Xi ‘an, Luoyang and other ancient capitals to punch in, and they will see the wonderful romantic imagination and the beautiful moment of poetic generate brought by the great poets who wrote poems here in those years, thus creating excellent cultural experience.

However, there are also some cities whose traffic IP is very hot, but it may really be a flash in the pan. How to turn traffic into Changhong’s retention is a strategy that needs to be considered more. In this regard, Liu Zhaohui, an observer in the cultural tourism industry, said: "The repurchase rate of tourism is very important, which actually depends on its attractiveness and whether it can continue."

One of the well-known local cultural tourism projects in Changsha is called "Super Cultural Friendship", which brings together the essence snacks in Changsha. Originally, everyone ate crayfish today, stinky tofu tomorrow, and other snacks the day after tomorrow. "Super Wenheyou" brought these foods together, aggregated the fireworks and relaxation of Changsha through antique buildings, and spread the photos and videos of tourists by word of mouth, which brought long-term impetus to industrial development.

In addition, there are actually many films shot here in coastal cities like Xiamen, Qingdao, Dalian and Chaoshan. For example, some choose the romance of coastal cities, while others focus on the audio-visual wonders of coastal cities. One is because the movie is on fire, and everyone pays attention to this city; Have a plenty of the city made preparations in advance, take the initiative to embrace movies and movies, which brought the planned explosion of the city.

The box office of movies has reached 500-600 billion yuan a year, while the cultural tourism is always 10 trillion yuan. If we break through some barriers between the two industries, through the mutual achievements between film and television and cities, it will certainly bring a very huge space for the outbreak of industries.

1905 movie network news DC superhero movies are being shown all over the country! A few days ago, the film exposed the footage of the "Nemesis" feature film. In order to seize the staff of the gods, the two goddesses, Hespera and Calypso mythology, did not hesitate to attack innocent people, and the crowded museum instantly turned into a human purgatory.

Revenge grabbed the staff and turned the audience behind the scenes.

In the exposed "Nemesis" clip, the daughters of the giant god of ancient Greece, Hespera and Calypso mythology, came to a museum in Greece. They had a clear goal and went straight to the staff of the gods in the center of the exhibition hall. After the two men contacted the staff, their combat power value was instantly filled up. However, just when some clueless human beings came forward to stop him, Calypso mythology exerted the "power of chaos" on the spot, which made the victim lose his mind and become crazy, and then began to harm other innocent people. In a flash, screams and cries for help kept coming from the museum, while the two goddesses calmly withdrew from the chaos.

In fact, as the actor of the powerful villain in the film, the private harmony is completely different. As soon as they changed their cool style of painting, they were more funny on the set, and the sense of contrast in and out of the play directly fascinated the audience. Regarding how to understand that his role is defined as a villain, helen mirren once wittily explained in an interview, "I never thought we were villains, we were heroines, and I always thought that the goddess’ shirt should be an elegant white dress, but I didn’t expect it to be a pair of heavy armor"! Liu Yuling, who joined the DC universe for the first time, doesn’t care much about villains. What she values more is being able to join the "Shazam!" film series and formally become a member of DC, and she can compete with a goddess-level actor like helen mirren. In Liu Yuling’s own words, it is — — Is this heaven? The fatal charm of the two Nemesis is waiting for the audience to come to the cinema to experience it in person!

The villain army turned into a circle, and the audience shouted "It’s worth two brushes"

Thunder Shazan! As a return work, Wrath of the Gods has not only made brand-new adjustments and upgrades in visual effects production and plot setting, but also significantly improved the establishment of the main creative team and role conflict. Among them, the most enthusiastic response from the audience and the hottest topic of discussion are about the cast of Nemesis and the newly added monster legion. In this regard, producer Pete Safran once mentioned in an interview that "a comic adaptation film must have a strong villain to be wonderful, so we found top Hollywood movie stars such as helen mirren and Liu Yuling to play the daughters of Atlas, the giant god, and their wonderful performances made the drama of gods versus gods more shocking and eye-catching". Not only that, the joining of the Monster Corps this time also won the appreciation of a large number of audiences. Not only did the details of the special effects production show great points, but the scene of the monsters’ collective dispatch made the war more exciting and exciting, and the audience watched it quite well.

The movie "Thunder Shazan! The Wrath of the Gods is directed and starred by Liu Yuling and helen mirren. The film is being released nationwide!

　　Mobile phones are widely used in our lives, and the utilization rate of mobile phones is very high. Now we all use smart phones, which have more comprehensive functions and larger screens, but there are also problems, that is, smart phones consume more power. So we charge the mobile phone from time to time. When we are charging the mobile phone, it will happen that the mobile phone can’t be charged. What should we do after such a situation? What’s wrong with the mobile phone not charging?

　　What’s wrong with the mobile phone charging? What should I do if the mobile phone can’t charge?

　　1. The electrode contact of the battery is dirty, and the contact resistance is too large, resulting in too large voltage drop. When charging, the host computer thinks it is full and stops charging;

　　2. The internal charging circuit of the mobile phone is out of order and cannot be charged normally.　　

　　3. If the battery can be charged, then there is a problem with the data cable or the phone socket. If not, then it’s the battery. If it’s a battery problem, Xiaobian has a small method. Wrap the battery in newspaper and put it in the refrigerator for three days, then take it out and put it in a ventilated place for a while, and then the battery will be fine.

　　4. If there is something wrong with the phone jack, try to wipe the dust inside the interface with a brush or a small brush, or it may be caused by excessive dust accumulation in the interface. If it doesn’t work after wiping, it is recommended to change a socket or data cable. It may be caused by poor power contact.　　

　　5. Check whether there are foreign objects in the charging interface of the mobile phone, such as liquid inlet and sundries, which are caused by poor contact between the charging interface of the mobile phone and the charger. If this is the case, it is recommended to send it for repair as soon as possible. Back up mobile phone data (phone book, SMS, pictures, etc.) and restore the mobile phone to factory settings (enter mobile phone settings-reset-restore factory settings).

　　6. Try not to answer the phone during charging. A good habit is to turn off the mobile phone when charging, so as to ensure high-quality charging effect. In the normal process of using the mobile phone, try to charge it healthily every time, that is, when the power is lower than 20%, and never wait until the power is exhausted to avoid affecting the service life of the mobile phone battery.　　

　　7. For users who use the voltage regulator converter to charge their mobile phones, they should connect the correct commercial power to charge according to the requirements in the charging instructions. Under normal circumstances, the domestic commercial power is 220V, while in foreign countries, such as Japan, the voltage is 110V V. Therefore, if you charge your mobile phone abroad, you will not be able to charge it normally due to insufficient voltage. Users who charge through the data cable should ensure that the normal 5V voltage is provided to the USB interface.

　　8. The mobile phone can’t be charged. It may be that there is a problem with the quality of the battery itself. You can replace it with a new battery. Or the battery is damaged because it has been used for too long or because of the short circuit between the anode and cathode of the battery for some reason.　　

　　When our mobile phone can’t be charged, the first thing we have to do is to check the mobile phone charger to see if it is in good condition and if the data cable is not plugged in. In addition, the mobile phone can’t be charged with electricity, which may be due to the problems of the mobile phone itself. If there is something wrong with the mobile phone, then the only solution is to repair it or buy it again. No matter what the reason is, we can have corresponding solutions as long as it is based on the reason.

Machine heart report

Machine zhixin editorial department

After writing articles and drawing pictures, the AI ​ ​ big model now has the ability to play games at the same time. I can’t help thinking, what kind of flowers can DeepMind’s agent Gato play in the future?

If a single sequence model can solve all tasks, it is a great thing, because this model reduces unnecessary troubles. However, it needs to increase the number and diversity of training data. In addition, the performance of this general model will be improved with the expansion of data and model. Historically, general models that are better at using computing will eventually surpass models that are specific to specific fields.

Today, inspired by large-scale language modeling, Deepmind applied similar methods to construct a single "generalist" agent Gato, which has the characteristics of multi-mode, multi-task and multi-embodiment.

Paper address: https://storage.googleAPIs.com/deepmind-media/a% 20generalist% 20agent/genericist% 20agent.pdf.

Gato can play Atari games, output subtitles to pictures, chat with others, stack building blocks with robotic arms and so on. In addition, Gato can also decide whether to output text, joint torque, button press or other token according to the context.

Unlike most agents playing games, Gato can play many games using the same training model without training for each game separately.

The training data set of Gato should be as extensive as possible, including different modes, such as images, texts, proprioception, joint torque, button pressing and other discrete and continuous observations and actions.

In order to be able to handle this multimodal data, Deepmind serializes all the data into a flat token sequence. In this representation, Gato can be trained and sampled from a large-scale language model similar to the standard. During deployment, the sampled token are combined into dialog responses, subtitles, button presses or other actions according to the context.

Wang Jun, a professor of computer science at UCL, told Machine Heart that DeepMind’s latest work combines reinforcement learning, computer vision and natural language processing. Although it follows the previous methods in technical thinking, it is not easy to map CV, NLP and RL into the same space and express them with a set of parameters.

Its positive significance lies in that it proves that the combination of CV, NLP and RL is feasible, and some problems of decision intelligence can be solved through sequence prediction. Considering that the current parameters of Gato model are only moderate, it will be of great significance to continue to explore in this direction and build a larger model.

However, the RL part of the Gato model only adopts the supervised learning method, which does not touch the real core of reinforcement learning-Reward design mechanism, and there is no multi-agent decision-making problem in the current task. Professor Wang Jun said that his team has done a lot of exploration on the decision-making model recently, including proving that multi-agent decision-making can also be a sequential model, and relevant results will be announced in the near future, so you are welcome to pay attention.

Gato agent details

In the training stage of Gato, data from different tasks and modes are serialized into flat token sequences, which are processed by a transformer neural network similar to a large language model for batch and other processing. Because the loss is masked, Gato only predicts action and text targets.

The following picture shows the training process of Gato.

When deploying Gato, prompts (such as demonstrations) are tokenised, forming an initial sequence. Then, the environment produced the first observation, which was tokenised and added to the sequence. Gato samples the motion vectors by autoregressive method, and only samples one token at a time.

Once all the token containing the action vectors are sampled (determined by the action specification of the environment), the actions are decoded and sent to the environment, and then new observations are gradually generated. Repeat this process. Gato model always looks at all previous observations and actions in the context window containing 1024 token.

The following figure shows the process of deploying Gato as a control policy.

In addition to various natural language and image data sets, Gato has also been trained on a large number of data sets containing the experience of agents in simulated and real environments.

Table 1 below shows the control data set for training Gato on the left and the visual and linguistic data set on the right. Sample weight indicates the average proportion of each data set in the training sequence batch.

Gato agent capability

The researchers summarized the performance of Gato when training on the above data. In other words, all the results of all tasks come from a single pre-training model with a set of weights. The fine-tuning results will be shown in the chapter "Experimental Analysis".

Analog control task

Figure 5 below shows the number of different control tasks performed by Gato above a given score threshold relative to the expert performance in Gato training data. Among them, the value on the x axis represents a specific percentage of the expert score, and 0 corresponds to the random agent performance. The y-axis represents the number of tasks when the average performance of the pre-training model is equal to or higher than a certain percentage.

The researchers report the performance as a percentage, where 100% corresponds to the experts of each task and 0% corresponds to the random strategy. For each simulation control task of the training model, they roll out Gato strategy 50 times in the corresponding environment and average the defined scores. As shown in the figure below, Gato performed more than 450 of the 604 tasks with an expert score threshold of over 50%.

In ALE Atari, Gato scored an average (or higher) score for human beings in 23 Atari games and twice the score for human beings in 11 games. Although the single-task online RL agent that generates data is still superior to Gato, it can be overcome by increasing capacity or using offline RL training instead of pure supervision. The researcher also introduced a professional single-domain ALE Atari agent, which scored better than humans in 44 competitions.

In BabyAI, Gato got more than 80% expert scores at almost all levels. For the most difficult task, BossLevel, Gato scored 75%. In contrast, the other two published benchmarks, BabyAI 1.0 and BabyAI 1.1, used 1 million demonstrations to train this single task, but their scores were only 77% and 90%.

In Meta-World, Gato scored more than 50% in 44 of the 45 tasks trained, more than 80% in 35 tasks and more than 90% in 3 tasks. On the standardized DM Control Suite, Gato scored more than 50% in 21 of 30 tasks and more than 80% in 18 tasks.

Robot benchmark evaluation

Remote operation from the first perspective can collect expert demonstrations. However, such demonstrations are slow and costly to collect. Therefore, the data-efficient behavior cloning method is desirable for training universal robot manipulators, and off-line pre-training has become a very dynamic research field. The researchers also evaluated Gato on the established RGB Stacking robot benchmark.

The skill generalization challenge of RGB Stacking robot benchmark tests the ability of agents to stack objects with shapes that have never been seen before. Agents are trained on a dataset containing episodes of robot stacked objects of various shapes. However, the triplets of five object shapes are not included in the training data, but are used as test triplets. The researchers evaluated the trained Gato for 200 rounds for each test triplet on the real robot.

The results in Table 2 below show that the success rate of Gato on each test triplet is equivalent to the benchmark of single task BC-IMP(filtered BC) proposed by Lee et al. (2021).

Text example

Gato agents can also generate basic dialogues and add subtitles (or descriptions) to images. Figure 6 below shows a representative example of Gato subtitling an image.

Figure 7 below shows some selected examples of plain text dialogue and communication.

experimental analysis

In Figure 8 below, DeepMind evaluated three different model sizes (measured by parameter count): 79M model, 364M model and 1.18B model (Gato). It can be concluded that under the same number of token, with the expansion of the model, the performance of the model will be improved.

Figure 10 below compares the success rate of Gato in different fine-tuning data mechanisms with that of sim-to-real experts and Critical-Regulated Regression (CRR) agents. The results are as follows: In reality and simulation (the red curves on the left and right respectively), Gato recovered the performance of experts with only 10 episodes, and reached the peak when fine-tuning data with 100 or 1000 episodes, surpassing the experts. After this point (at 5000), the performance will drop slightly, but it will not be far lower than that of experts.

Table 3 below shows the comparison results of Gato and BC-IMP.

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Original title: "DeepMind" generalist AI agent Gato is coming, multi-modal, multi-tasking, inspired by the big language model "

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