Nominations for the 80th Golden Globe Awards of American Film and Television were announced a few days ago. The drama series Abbott Elementary produced by ABC, The Banshees of Inisherin by Searchlight Film, Black Panther: Wakanda Forever by Marvel Film and RRR, an Indian musical epic, stood out.

This year, 41 actors were shortlisted for the Golden Globe Award for the first time, accounting for nearly half of the new faces. Only Julia Garner, who played "Ozark" and "Inventing Anna", won the double nomination. Regrettably, no female filmmakers have been nominated for this year’s Best Director Award. The Indian music epic film RRR continued to shine in the awards season, and it was nominated for two Golden Globe Awards-the best non-English film nomination and the best original song nomination. The Golden Globe Awards Ceremony will be held on January 10th, 2023, US time.

In terms of movies, Searchlight Pictures won 12 nominations this year, and only "The Banshee of Inyshelin" occupied 8. The independent film studio A24 won 10 nominations for its explosive movie Everything Everywhere All at Once, and the streaming media platform Netflix won 9 nominations, ranking second and third.

On the TV side, HBO and its streaming media platform HBO Max won a total of 14 nominations, which was the same as Netflix. Followed by Hulu with 10 nominations, followed by Disney’s cable TV network FX with 9 nominations.

Streaming media dominated the TV category this time, and ABC became the only public broadcaster nominated.

The director of RRR S·S· S.S.Rajamouli who directed the Bollywood epic baahubali. The film tells the legendary story of Indian revolutionaries fighting against British colonial rule in the 1920s. Both protagonists are real people in history, but the plot of the film is basically artistic creation. The first weekend of the film’s release earned $46 million at the box office in India, setting a box office record for the premiere of Indian films.

According to Netflix, "RRR" is one of the most watched Indian movies on Netflix. Although it failed to represent India in the best international feature film Oscar, this three-hour action music film still left a strong impression in the award season at the end of the year and the beginning of the year.

Black Panther, directed by Ryan Coogler, was the first Marvel Comics film to be nominated for the Golden Globe Award for Best Drama. At the same time, it also created the history of superhero films being nominated for this award. The sequel Panther 2, released in 2022, achieved great success-Angela Bassett, the actress who played Queen Ramonda in the film, was nominated for best actress, which was Marvel Comics’s first performance award nomination at the Golden Globe Awards.

(Shi Zhiyu, steve martin, Niecy Nash, Yang Ziqiong)

There are no women on this year’s nomination list for best director. Only director Shi Zhiyu was nominated for the best animated feature film for "Turning Red", and she was also the first colored woman to be nominated for the Golden Globe Award for directing the best animated feature film.

Due to years of criticism, this year’s Golden Globe Awards tend to be more diversified in terms of gender, race and age. Steve Martin, who was nominated seven times before, is 78 years old. This year, he was nominated as the best actor in a musical/comedy TV series for "Murder in an Apartment Building", becoming the oldest actor in the award nomination. Jenna Ortega, 20, became the second youngest contender for the Best Actress in Music/Comedy TV Series because of her brilliant performance in the series Wednesday.

Niecy Nash, a black actress, may become the first black woman to win the best actress in a limited series with The Monster: The Story of Jeffrey Dahmer. Viola Davis, who starred in "The Woman King", was nominated for best actress in a drama series, and may become the third black actress to win the award in history.

Yang Ziqiong was nominated for Best Actress in Music/Comedy for her leading role in the movie "A Moment of the Universe", and she is the most popular candidate for this award, which is very promising to create an award-winning history for Asians. Meanwhile, Guan Jiwei, her co-star in the film, was nominated for best supporting actor in this category, and may become the next Asian male to win the Golden Globe.

　　Xinhua News Agency, Beijing, October 9th Question: How did the property market perform during the Golden Week?

　　Xinhua News Agency "Xinhua Viewpoint" reporter

　　First-tier cities such as Beishangguangshen and Shenzhen have implemented the policy of "recognizing houses but not loans", and Guangzhou, Wuhan, Nanjing, Dalian, Zhengzhou and Hefei have completely cancelled or partially relaxed the purchase restriction … … Recently, a series of policy combination punches have injected warmth into the property market. What new features and trends have emerged in the real estate market during the Mid-Autumn National Day Golden Week this year?

　　Local mild warming, uneven regional cold and hot.

　　The reporter visited Beijing, Shanghai, Wuhan, Nanjing, Changsha and other places and found that under the background of the continuous improvement of the policy toolbox for stabilizing the property market and the continuous adjustment and optimization of the real estate policy, residents’ confidence in buying houses gradually recovered, and the property market showed a state of partial moderate recovery and uneven regional heat and cold.

　　Xu Dong, a marketing staff member of a real estate enterprise in Wuchang District, Wuhan, told the reporter that compared with ordinary weekends, the sales office of the two-day holiday is very popular this year, and he receives nearly 100 groups of customers every day. "The number of visitors to the house has doubled, and the transaction volume has been relatively stable, with 4 to 5 sets of daily sales." Xu Dong said.

　　In Changsha, Ming Bin, deputy general manager of Hunan New Environment Real Estate Brokerage Chain Co., Ltd., was busy for a holiday. "After Changsha recently adjusted its real estate policy, the demand for improved housing increased significantly, and the listing volume and transaction volume of second-hand housing increased significantly." Ming Bin said.

　　Yang Jingli, a property consultant of Jianfa Maoyun, a new site in the southwest of Nanjing River, told reporters that hundreds of customers visited the sales office every day during the Mid-Autumn National Day, and transactions were made every day. "Before the New Deal, many people were waiting to see, and after the New Deal, customers with housing improvement needs took shots."

　　In a well-known real estate agency in maliandao East Street, Xicheng District, Beijing, Mr. Li, a property consultant, ushered in the busiest day of the Golden Week holiday on October 6. "Some signed the contract once with a look, and the store sold 3 sets a day." Mr Li said with a smile.

　　Mr. Deng, who is going through the formalities of buying a house in the store, said that he sold a house in Chaoyang District and replaced a house in Xicheng District. “‘ Admit the house but not the loan ’ After that, I can enjoy the low down payment and low interest rate policy for the first suite, and the housing provident fund loan interest rate is 3.1%; The agency fee has also dropped. Originally, the buyer was required to pay 2.7% of the total transaction price of the house. Now the buyer and the seller each pay 1%, and the intermediary finally gave a 20% discount. "

　　"Overall, the property market performed differently during the two festivals. Tianjin, Wuhan, Suzhou and other places have improved their market activity under the housing fair and the New Deal. Shanghai, Guangzhou, driven by the supply side of the real estate, have rebounded; The property markets in Beijing, Shenzhen, Chengdu and Hangzhou are relatively stable. " Chen Wenjing, director of market research at the Central Finger Research Institute, said.

　　According to the data of RealData, the average daily turnover of 50 cities in the Mid-Autumn National Day holiday increased by 3% year-on-year, the number of visitors increased by 13%, and the number of new listings increased by 19% year-on-year.

　　According to Chen Wenjing’s analysis, from the overall performance of the Golden Week, the enthusiasm of various places to promote sales increased, and the number of project visits increased compared with that before the holiday. At the same time, the market differentiation between cities and regions is more obvious. The heat in core cities and key areas of some cities is higher, and the overall performance of transaction volume is stable.

　　Developers fancy push plate, "improving customers" pay attention to quality

　　Buying a house to send home appliances, painting contest, drawing gold bars to send gold ornaments, elite blind date, antique market, global food market … … During the Golden Week, Wuhan’s real estate marketing efforts increased, and activities were varied.

　　The 41st Wuhan Golden Autumn Online Housing Fair officially opened on September 28th. More than 170 real estate enterprises in Wu Hanyou participated in the online exhibition, with over 300 properties and over 100,000 houses. The reporter contacted Mr. Shen, who chose the house online. He told the reporter: "Recently, the purchase restriction has been released, and several concessions are quite strong, which are being compared and considered. During the housing fair, the purchase of a second house in the participating buildings in Wuhan can be subsidized at 50% of the deed tax payable. "

　　According to the statistics of Nanjing Housing Management Department, 4,568 sets of commercial housing in Nanjing were subscribed in September, up 39% from the previous month. Behind the hot sale of real estate, it is inseparable from the profit-making volume of housing enterprises. "Enter the tradition ‘ Silver ten ’ A new wave of opening is brewing. According to statistics, during the Mid-Autumn National Day, 93 properties in Nanjing launched preferential activities to support the accelerated release of rigid and improved housing demand. " Zhang Hui, secretary general of Nanjing Real Estate Association, said.

　　The heat of the market is picking up, but the new trend of the property market changing from a seller’s market to a buyer’s market is remarkable. People’s requirements for the quality of living are constantly improving, forcing developers to polish "product power" and work hard on the supply side.

　　A research report recently released by Kerry Research Center pointed out that since the beginning of this year, improving the population has become the main force in the real estate market, and half of them are 30-40 years old. The overall education level is relatively high, and the population with more than two home ownership experiences accounts for nearly 60%.

　　"Taking advantage of the Golden Week, I want to see more houses and compare the advantages and disadvantages of various properties." Ms. Wang, who transferred from Dongguan to Guangzhou, told reporters that although she has a house in Dongguan, the policy is good now, and buying a house in Guangzhou can be considered as the first set. She wants to "shop around" and choose slowly.

　　The reporter visited several buildings for sale in Guangzhou, and found that many projects made a fuss about flower ponds and floating windows, and set up multi-functional balconies with gardens, life balcony and great depth in residential suites, breaking the original functional divisions in apartment design and implementing "integrated" open design to attract potential buyers with innovative products.

　　In Shanghai, it is difficult to sell "old and small" houses with poor living environment, but second-hand houses with newer age and better quality are quite popular.

　　The policy continues to exert its strength around just-needed and improved needs.

　　Many insiders said that a major factor affecting the current property market is the profound change in the relationship between supply and demand of real estate. At present, the policies that have been introduced in various places focus on reducing the burden on buyers who just need and improve their needs. In the next step, the continuous optimization and adjustment of real estate policies, the continuous improvement of policy accuracy, and the continuous recovery of the economy will help to further release the demand for housing.

　　"The starting point of the property market policy still needs to focus on better meeting the rigid and improved housing needs of residents." Chen Jie, director of the Housing and Urban-Rural Construction Research Center of Shanghai Jiaotong University, said that some policies applicable to the period when the real estate market is in short supply can continue to be adjusted and optimized, for example, the identification of ordinary commodity housing standards, the adjustment of taxes and fees for second-hand housing transactions, and the integration with birth policy, pension policy and talent attraction policy also have a lot of room for optimization.

　　In order to better protect consumers’ rights and interests, more and more cities are taking the pilot steps of existing home sales. Hainan, Chengdu, Hefei and other places clearly support the sale of existing homes, and Shandong, Anhui, Henan, Sichuan, Guangdong and other places have also stated that they will pilot the sale of existing homes.

　　What you see is what you get, and the certificate will be handed over as soon as you hand over the house, so you don’t have to worry about the wrong goods … … Yan Rong, president of Shanghai Academy of Real Estate Sciences, believes that the current pilot projects of existing home sales in several provinces can prevent delivery risks and help enhance market confidence.

　　"The implementation of existing home sales is an important starting point to promote the transformation of the real estate industry to a new development model, which can break the real estate ‘ High turnover, high leverage and high debt ’ The development model has forced housing enterprises to transform their business models. " Liu Lin, a researcher at China Macroeconomic Research Institute, said. (Reporter Wang Youling, Zheng Juntian, Deng Huaning, Xu Haibo, Gong Liankang)

In the current variety market, music variety is not uncommon, and even homogenization has begun to appear. In order to attract more audiences, the music ensemble groups have come up with different concepts, which are mostly divided into rock, folk, pop, electronic and so on according to the types of music.

However, a music ensemble "Come and see our concert" which will be broadcast soon will be innovated in the form of performance, emphasizing that "all-open wheat" will give the audience a closer musical experience. At present, people haven’t walked into the gymnasium for a long time to feel the power of chorus at the concert. The concept of the program just captures the audience’s yearning for live music, which naturally has an advantage over other sound synthesizers.

The program lineup has also been announced recently, covering Chinese singers of all ages, and performing in the form of a combination. The gathering of Jeff Chang Shin-Che, Wu Sikai, Dai Peini and other classic singers is believed to evoke many people’s youthful memories. Pin Guan, who used to be a popular short video platform with "The Door is Unlocked", will also be on the stage with his friends.

Most of these singers are representatives of singers who are more popular than others. The songs they performed spread all over the streets, but no one cares about the singers themselves. I don’t know if they can turn red again in such a sound ensemble that pays attention to the strength of the scene.

However, when it comes to "turning red", the 2007 fast men who are also in the program lineup may be more experienced. Chen Chusheng, Land Rover, Ahu、Yue and Bird, well-known names, have gradually been forgotten after the draft fever faded more than ten years ago. Some of them insisted on their musical dreams, some switched to filming, and some gradually retired … Until recently, the fast men returned to the public view with a reality show. The slow variety show that was not optimistic originally exploded, and the Douban score was as high as 9.7, which also made the fast man in 2007 get unprecedented attention.

No matter what the singing strength is, the story of brothers reunited on the stage for many years is enough to attract the audience. After their complicated lives, the brothers can still get together. The "brotherhood" between them is the key to the recent popularity and the focus of the program propaganda. The slogan "Fast Man" was put on the poster to attract a wave of nostalgic fans and expand the audience.

The program has gathered a lot of powerful singers, and naturally it needs traffic blessing, so the new generation of singers is indispensable. However, after the official announcement of the lineup, the appearance of Vin and imp attracted a lot of controversy. Vin and Cai Weize of the same company formed a "47" group to perform together. Due to the incident that Vin’s father was sued before, many audiences did not have a good impression on him. Critics even call it "rat shit spoils a pot of porridge", and such artists with poor reviews have more or less negative effects on program ratings.

Because of irrational fans and exaggerated costume makeup, Kid Lil Ghost has also been controversial from all sides. His performance style on the stage was exaggerated, and the action of "air guitar" was ridiculed, which most people said they could not appreciate. The punk image that Kid has maintained for a long time is not very suitable for the positioning of the program "All-in-one Mai Power Singer", and singing is not the focus of his performance. In fact, the form of his performance is greater than the content, the lyrics lacking nutrition are criticized, and fans are mostly attracted by the appearance of minority subcultures. If the kids still perform in a way that is always original, it will inevitably lead to a wider discussion and criticism.

However, the program group also spent a lot of time on the lineup arrangement. The partners of the two traffic niche students are Cai Weize and Diamond. Although Cai Weize made his debut as the son of tomorrow series draft, at the same time, as the lead singer of the band, he has good singing skills, and Diamond is recognized as a strong singer in the circle and the audience. The cooperation of partners during the performance can also enrich the stage effect to a certain extent, and more importantly, the collision of different types of musicians can increase the topic and accumulate heat for the program.

It is undoubtedly ambitious to try to make a real "concert effect" sound ensemble, as evidenced by inviting a group of established singers. While the controversial artists have a negative impact on the program, they actually attract more attention for the program, which virtually creates momentum for the broadcast. With the help of the artist’s own traffic and program promotion, many people have noticed this new sound ensemble that is about to start broadcasting. Whether the concert can be moved into the variety stage, as stated in the propaganda, will be seen after the program starts.

Produced by Iqiyi and Tencent Pictures, the TV series "Heart Residence" directed by Huatao Teng has been officially launched in Shanghai, based on Teng Xiaolan’s novel of the same name, with Teng Xiaolan as the screenwriter. A few days after the boot, the official announced the starring lineup.

When the starring roles were officially announced on Weibo, they were @ @: Christina, Tanya and Zhang Songwen. The brackets were specially noted behind, which read "Sort alphabetically by name.”。 This is to tell you that the ranking of the actors is only based on the phonetic alphabet, and it is not the potential information of Christina.

By comparing the project book with the investment promotion information, Christina, who was originally clearly regarded as something, somehow announced it in such a way that it was sorted according to the pinyin letters of surnames when he announced the official lineup. Specially, the remarks on ranking the positions make everyone feel very disgusted. Tanya is all under the banner of powerful actors, so how can he make such a petty thing to compete for the positions?

On strength and nationality, the most obvious manifestation of nationality lies in that when we talk about Christina, we can casually talk about several of her representative works: Little Joy, Little Separation, Dwelling House, Mind, Beautiful Times of Daughter-in-law, Double-sided Adhesive and Wang Gui and Anna, as well as the heroine of a movie that broke 3 billion yuan. The douban scores of the above works are all 8, which is the proof of strength.

This time, Tanya, who competed with Christina for the position, has so far exploded a two-time match of Nothing But Thirty and a four-time match of the first part of the great rivers. The two dramas can make her fame soar to this point, and it is also a bonus for those who have greatly eaten these two roles. Compared with Christina’s accumulated experience in the entertainment industry for more than ten years, her achievements are not enough.

I am a few catties, and of course I know best. So why do nursery rhymes fight for this position?

First, the role is changeable

Since Tanya returned to the entertainment circle, she first played a role as a benchmark in Ruyi’s Royal Love in the Palace.Gao guifeiRelying on his father’s contribution, he was bullying in the harem, wearing colorful clothes and looking arrogant. In fact, he was very popular with the audience.

Later, it was in "Big Rivers" that I played the hearts of audience friends.Bai Yueguang Song YunpingHow miserable Lei Dongbao cried in the play, how miserable the audience cried outside;

Nothing But Thirty, who let nursery rhymes kill all the florets from the post-1980s age group and become the first Tsing Yi, won many awards. Her role as Gu Jia in the play was even more amazing. From career to family, I have arranged every inch of my life in order, and my ability to do things is better than that of many women, absolutely.The benchmark for a new generation of independent women.

These roles, whether from the background of the times or the character, have made great strides, and Tanya has done a very good job. Compared with Hai Qing, she has always been shackled by a "daughter-in-law".Tanya, compared with her, is indeed more changeable on the road.

Second, the proportion of role plays is average

Netizens who have read the original novel said that the novel is about a story between a pair of aunts. The roles played by Hai Qing and Tanya respectively are actuallyThe novels are completely accompanied by each other’s growth, and there is no absolute female number one.The opponents of the two people are basically equally divided.

One is that after marrying her husband, she accidentally became a widow and grew up step by step to support this family alone; One is a wayward girl, from flash marriage to flash separation, subverting her understanding of life and family.

The two characters have different outlook on life, and they constantly encounter various problems in their life growth, which can completely show readers two different perspectives and reflect different lives.

Therefore, in TV series, the shaping of these two roles is not a collision with each other, but a complementary state.

Third, the current entertainment atmosphere

The dispute over the position has become very serious up to now.. Even when My People，My Country, a tribute film, exposed the poster of the star, the square composition avoided the dispute over the position, so as not to cause controversy.

In a work, because of the rank, it often corresponds to the influence of the actor and his commercial value. Later, in order to avoid the disputes among fans, countless producers tried to break their heads, such as publishing the starring lineup according to the age method, publishing the starring lineup according to the first capital letter of the name, and publishing the casting lineup according to the order of appearance. There are no other innovations, and my head is all used in this area.

In that case,The whole entertainment environment is like this.Others can argue, why can’t Tanya?

Although it is said that the popularity of this drama has not caused much waves, it was only limited to the behavior of traffic stars before, and it has evolved into a powerful actor, which still makes many netizens feel that the happiness of chasing the drama has been disturbed. On-Moon Arc

Welcome to [Autohome Wuhan Discount Promotion Channel] to bring you the latest car market trends. Currently, this high-profile model is launching an exciting promotion to give back to consumers in Wuhan. It is understood that Xingtu Lanyue is conducting a major promotion, with a maximum discount of up to 18,000 yuan, providing real car purchase benefits for car buyers. Excitingly, the starting price has been reduced to 175,900 yuan, providing consumers with excellent car purchase options. If you want to seize this rare opportunity to get more specific model information and pickup price, please click "Check the car price" in the quotation form, let us explore the details of this offer together, and strive to let you have your favorite star at a more favorable price.

With its 4970mm body length, 1940mm width and 1792mm height, the car series Xingtu Lanyue creates a robust and atmospheric body profile. The wheelbase reaches 2900mm, ensuring a spacious and comfortable interior space. The front and rear wheelbases are maintained at 1644mm, which makes the vehicle have good stability during driving. The tire specification is 245/50 R20, which not only provides good grip, but also complements the wheel design, showing delicate and dynamic side lines.

The interior design of Xingtu Lanyue highlights the sense of luxury and technology, using exquisite leather wraps to create a comfortable driving space. The steering wheel is made of genuine leather, providing a good grip, and supports manual up and down + front and rear adjustment to adapt to the needs of different drivers. A large 15.6-inch screen stands on the center console, which integrates multimedia system, navigation, telephone, air conditioning and sunroof control, making it easy to operate and powerful. The USB and Type-C interfaces are equipped to meet the charging and connection needs of passengers for equipment, especially the two USB interfaces in the front row and the three Type-C interfaces in the rear row, which fully consider practicality. In addition, the front seats are also equipped with heating and ventilation functions, and the driver’s seat is equipped with power seat memory, ensuring that the driver can always find the most comfortable sitting position. The second row of seats supports front and rear adjustment and backrest adjustment, and can be proportionally reclined, providing passengers with flexible riding space and cargo convenience. The overall interior design is both practical and comfortable, fully reflecting the interior highlights of Xingtu.

The 2.0T turbocharged engine on the Xingtu Lanyue is equipped with a maximum power of 192 kilowatts, providing 261 horsepower performance and demonstrating strong power output. This engine is matched with an 8-speed automatic transmission, ensuring a smooth driving experience and efficient energy conversion. This power system gives Lanyue excellent performance, satisfying the driver’s pursuit of speed and passion.

Summarizing the owner’s insights, Xingtu Lanyue has won praise for its tough exterior design, which not only shows high-end temperament, but also gives drivers confidence and superiority. As he said, compared with other SUVs, Lanyue undoubtedly stands out from the crowd, and its excellent exterior design has become its unique charm. Such strength has undoubtedly established a solid word-of-mouth foundation for Xingtu Lanyue.

Written by Cheng Junwei (Huazhong University of Science and Technology)

In recent years, with the increasing demand for data processing by artificial intelligence and the fifth generation communication, the data computing capacity and computing power consumption have increased rapidly. The clock frequency of traditional electronic methods is generally limited to several GHz, which can no longer meet the needs of ultra-high speed and low delay mass data processing. On the other hand, with the failure of Moore’s Law, it becomes more and more difficult to improve their performance and energy efficiency by relying on semiconductor electronic technology.

Due to the continuous and substantial increase of information capacity, in the foreseeable future, the general electronic processor is difficult to be competent for high-complexity artificial intelligence and signal processing tasks. butmatrix calculationIt is one of the most widely used and essential information processing tools in science and engineering.

Most signal processing, such as discrete Fourier transform and convolution operation, can be attributed to matrix calculation. The main feature of neural network algorithm, especially represented by deep learning, is that it contains heavy matrix calculation. Taking convolutional neural network as an example, its matrix calculation overhead can account for 80% or even more than 90% of the total overhead. Accelerating and optimizing matrix calculation can greatly improve the calculation efficiency and power consumption of signal processing and artificial intelligence.

Photonic devices have ultra-large bandwidth and ultra-low power consumption, the frequency of light can reach 100 THz, and there are many free physical dimensions, which makes photonic computing one of the most competitive candidates in high-capacity and low-delay matrix information processing in the post-Moore era. In recent years, photon matrix multiplication has developed rapidly and is widely used in the fields of photon acceleration such as optical signal processing, artificial intelligence and photonic neural network. A large number of applications based on matrix multiplication show great potential and opportunities in the field of photon accelerators.

Fig. 1 conceptual diagram of matrix multiplication photon accelerator

Recently, fromHuazhong University of Science and TechnologyThe research team, andChinese University of Hong Kong, University of Shanghai for Science and Technology, Zhejiang UniversityandXizhi technologyA number of research scholars have cooperated to "Photonic matrix multiplication lights up photonic accelerator and beyond"For the topic, in　Light: Science & Applications　A summary article on the theme of matrix multiplication photon accelerator was published in.

Photon matrix-vector multiplication classification

At present, the mainstream photon matrix-vector multiplication (MVM) mainly includes three categories, namely, matrix calculation based on (single/multiple) plane optical conversion (PLC), matrix calculation based on Mach Zehnder interferometer (MZI) network, and matrix calculation based on wavelength division multiplexing (WDM). Among them, the matrix calculation of plane transformation is divided into single-plane matrix calculation (SPLC) and multi-plane matrix calculation (MPLC), both of which belong to coherent calculation, and the reported input vector length can reach the order of 357 and 490,000 respectively. The output vector length of MZI and WDM methods is generally less than 100, which is mainly used to integrate photonic matrix computing chips. These methods mainly calculate the matrix based on the spatial dimension or wavelength dimension of photons, and can also combine multiple dimensions of photons to construct ultra-high-capacity photon tensor core.

Fig. 2 Classification of Photon Matrix Multiplication

Accelerate application of photon matrix-vector multiplication

Photon matrix multiplication network itself can be used as a general linear photon loop for photon signal processing. In recent years, MVM has become a powerful tool for various photon signal processing methods. MPLC-MVM benefits from its ability of large-scale matrix calculation, which can manage a large number of patterns, can be used as a general pattern classifier, and the scale of its operating patterns can reach hundreds. It can also be further extended to realize the simultaneous control of multiple classical physical dimensions of photons, and can be used in applications such as spatial imaging encryption. MZI-MVM is easy to integrate, and because of the high speed of phase shifter, it can realize the automatic configuration of MZI grid function, and can be used as an adaptive mode processing device to realize free uploading, downloading, multiplexing and demultiplexing of multiple modes and channel descrambling. WDM-MVM takes up less space and is easier to configure the transmission matrix. It has been applied to programmable pulse shaping, micro-ring weight library and signal component analysis.

Figure 3 Application of Photon Matrix Multiplication

Artificial intelligence technology has been widely used in various electronic industries, such as speech recognition and image processing based on deep learning. As the basic component of neural network, matrix computing takes up most of the computing tasks, for example, the computation of GoogleNet and OverFeat models exceeds 80%. Improving the performance of the matrix is one of the most effective ways to accelerate the neural network. Compared with electric calculation, optical calculation is poor in data storage and flow control, and the low efficiency of optical nonlinearity limits the application of nonlinear calculation such as activation function. Then, through wavelength, mode and polarization multiplexing technology, optical methods have obvious advantages in large-scale parallel computing, and have extremely high data modulation speed and low delay. Therefore, photonic network is very suitable for matrix calculation. The combination of optical computing and artificial intelligence is expected to realize intelligent photon processor and photon accelerator. In recent years, artificial intelligence technology has also developed rapidly in the field of optics. All kinds of photon matrix calculations have been proved to be able to replace the linear part of neural network algorithm, and its single core has been proved that the calculation capacity can exceed 11TOPS, the delay of photon matrix calculation is generally in the order of picoseconds, the energy consumption of a single multiplication and addition operation is in the order of defocus, and the signal modulation rate can be as high as 100 GHz. Compared with electronic computing, it has obvious advantages in speed, delay and power consumption.

Challenges and prospects

At present, there is still a huge gap between photonic matrix calculation and electronic calculation. In order to solve this problem, one of the direct and effective solutions is to manufacture large-scale photonic integrated circuits. Similar to integrated circuits, the improvement of manufacturing technology provides an opportunity to realize photonic integrated circuit chips with larger scale and higher integration density. In addition, by using multiple free dimensions of photons, such as modes, wavelengths, etc., optical devices can perform a large number of parallel calculations, which can be performed in a physical photon calculation core. At the same time, we can expand the network scale by optimizing photonic devices, such as spectrum reuse strategy, higher modulation speed and lower power consumption modulator, low loss waveguide, hybrid integration and so on.

Matrix calculation and activation function are two basic operating elements of neural network model. Photon matrix calculation has obvious advantages over electronic methods in signal rate, delay, calculation density and power consumption, but the photon activation function is still immature. At present, it is mainly divided into optical-electrical-optical conversion method and all-optical method. How to realize the activation function with low power consumption and high response rate in the future is still a difficult problem.

Before all-optical artificial neural network matures, especially before optical nonlinear effect and all-optical cascade maturity, photoelectric hybrid artificial intelligence computing is still a more practical and competitive candidate architecture for deep artificial neural network. Therefore, it is one of the core research paths of photonic artificial intelligence to develop an efficient and dedicated optoelectronic hybrid artificial intelligence hardware chip system. In the future, the bottom hardware of accelerator can be realized based on photon matrix calculation and electronic control, and various algorithms suitable for this hardware can be developed. Finally, these algorithms can be flexibly called in the user layer to realize various accelerated applications, such as channel descrambler and image recognition.

Figure 4 Photoelectric Hybrid AI Computing Chip Architecture

Thesis information

Zhou, H., Dong, J., Cheng, J. et al. Photonic matrix multiplication lights up photonic accelerator and beyond. Light Sci Appl 11, 30 (2022).

https://doi.org/10.1038/s41377-022-00717-8

Professor Dong Jianji from Huazhong University of Science and Technology is the corresponding author of the paper, and Associate Professor Zhou Hailong is the first author of the paper. Co-authors of the thesis include Dr. Huang Chaoran from the Chinese University of Hong Kong, Dr. Shen Yichen from Xizhi Technology, Professor Zhang Qiming and Academician Gu Min from Shanghai University of Science and Technology, Dr. Qian Chao, Professor Chen Hongsheng and Professor Ruan Zhichao from Zhejiang University, and Dr. Cheng Junwei, Dr. Dong Wenchan and Professor Zhang Xinliang from Huazhong University of Science and Technology.

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　　346 medical teams

　　About 42,600 people

　　Retrograde epidemic prevention in Hubei province

　　As the situation gradually improves

　　Medical teams from all over the country who completed the rescue task left in batches.

　　Salute to you

　　All we can do is.

　　Let you feel warm from the heart on the way back … …

　　Tanabata Valentine’s Day 520 heart-shaped dynamic dividing line

　　Hubei(Province)

　　Customize the exclusive boarding pass for medical staff returning to Hubei.

　　At 13: 17 on March 17th, Xiamen Airlines flight MF8766 successfully took off from Wuhan Airport, and 138 medical staff from Tianjin Aid Hubei Medical Team set off for home by charter flight.

　　Hubei Airport Group coordinated the members of the joint work class of air-ground transshipment between provinces and cities to enter the airport in advance, and jointly studied and formulated the Work Plan for the Protection of Medical Staff Assisting Hubei at Wuhan Tianhe Airport. At the same time, the intermodal mode was launched, and the relevant units of provinces and cities were organized to inform the support tasks, flight support information and nodes in time through "online", and the problems existing in the support were coordinated and solved in time under "offline" to realize the support linkage. In addition, a series of enhanced security measures were taken in advance, and according to the principle of "one person and two districts", special personnel were arranged to dock with 15 urban areas in Wuhan, and the provincial and municipal headquarters, civil aviation headquarters and provincial and municipal health and health committees collected the return information of medical teams.

　　In order to pay tribute to the most beautiful retrograde person, Hubei Airport Group has designed and produced an exclusive commemorative boarding pass for returning medical aid workers in Hubei. The boarding pass has a QR code link, and the QR code can be scanned to watch the public welfare micro-video specially produced for the medical aid team in Hubei. At the same time, more than 30 volunteers with little red shirts were arranged to provide boarding guidance services.

　　Guangdong

　　Welcome words lit up in 62 expressway service areas.

　　On March 18th, the electronic screens of 62 expressway service areas under the jurisdiction of Guangdong Transportation were lit up with "white armor, boundless love" and "warm welcome ‘ War epidemic ’ Welcome words such as "the hero returns safely" pay the highest respect to the "white soldiers" who returned to Guangdong to help Hubei!

　　That night, under the escort of the traffic police, 9 rescue vehicles and 16 medical logistics support personnel from the National Emergency Medical Rescue Team (Guangdong) aided Hubei Medical Team drove into Lechang Service Area of Guangle Expressway to rest. Lechang service area actively serves the heroes of the war "epidemic", and has set up a special passage in the field, enclosed the special parking area with iron horses, and prepared a comfortable rest place.

　　On the morning of March 19th, the staff in the service area prepared a hot breakfast for 16 medical logistics personnel. Before leaving, the medical staff of the medical team warmly reminded the staff in the service area: "You are also standing at ‘ War epidemic ’ On the front line, we should continue to take the lead and remind passengers to wear masks and wash their hands frequently to help them return to work and resume production ‘ Double victory ’ " . At noon, the team entered the Huacheng service area for a short break and then went straight to Guangzhou. The staff in the service area lined up to salute and watched the rescue team leave.

　　Guizhou (Province)

　　We will guarantee the "last mile"

　　On the evening of March 17th, the first batch of 34 members of Guizhou Aid Hubei Medical Team arrived at Guiyang North Station, boarded the bus that had already been waiting at the scene, and went to the uniformly arranged hotel for isolation and rest.

　　In this transportation service task, Guizhou Provincial Road Transportation Bureau sent 6 drivers and staff and 3 large buses. All vehicles have been inspected and disinfected, and equipped with body temperature guns and disinfection supplies. Emergency standby vehicles and standby drivers are always on standby to ensure that the motorcade arrives at the designated parking spot of North Station on time. The staff of Guiyang Transportation Comprehensive Administrative Law Enforcement Detachment was present to organize the security work. The member units of the two-level epidemic headquarters in Guizhou Province and Guiyang City made careful arrangements and cooperated closely. The Provincial Department of Transportation guided the Provincial Road Transportation Bureau, the Guiyang Municipal Communications Commission, the Guiyang Municipal Transportation Comprehensive Administrative Law Enforcement Detachment and other departments to formulate a special transportation guarantee plan for this transshipment task. The transportation departments at the provincial and municipal levels have arranged deployment to the carrier enterprises for many times, and together with the provincial health and health commission, they have conducted special training for front-line drivers and passengers and related staff.

　　Anhui (Province)

　　Adjust the emergency motorcade to fully escort the hero to triumph.

　　On the morning of March 18th, members of Anhui medical team supporting Hubei arrived in xinqiao airport, Hefei in three batches. Hefei Transportation Management Office urgently mobilized 16 buses, 6 trucks and 22 drivers in Hefei Road Transport Emergency Team to escort 374 medical staff to the rest base.

　　As the epidemic situation continues to improve, the fourth and fifth batches of medical teams sent by Anhui to support the Hubei anti-epidemic team, totaling 374 members, have finished fighting and set foot on their way home. Hefei Transportation Management Office urgently mobilized 16 54-seat airport buses. At the same time, considering the problem of more luggage for medical teams, it also coordinated SF Company to arrange 6 box trucks to transport luggage.

　　After the medical team members arrived at the airport, they rode in an orderly manner according to the group ride plan formulated in the early stage. Wear masks, sit at intervals and keep a distance of more than 1 meter, and set up observation areas in the car to implement various epidemic prevention measures one by one. At the same time, nearly a thousand pieces of luggage were all loaded into the car with the help of the driver. On the afternoon of March 18th, 374 members of Anhui Support Hubei Medical Team arrived at the rest base under the escort of Hefei Road Transport Emergency Team, and the emergency team successfully completed the task of escorting medical personnel to concentrate on rest.

　　Henan(Province)

　　Guarantee the return of medical team with the highest courtesy.

　　On the morning of March 18th, the Beijing medical aid team evacuated from Wuhan and returned via Xinyang section of Beijing-Hong Kong-Macao Expressway. Upon receiving this news, Xinyang Branch, a high-risk company affiliated to Henan Communications Investment Group, immediately deployed, organized the elite forces of road production, and set up an "escort guard team" in conjunction with high-speed traffic police and maintenance departments to conduct comprehensive inspections in the sections under its jurisdiction three hours in advance to eliminate road safety hazards.

　　At 8: 34 a.m., when three Beijing-A licensed medical team return vehicles entered Xinyang area of Beijing-Hong Kong-Macao Expressway, the high-speed "escort and security team" waiting early immediately started, and after being cleared by police cars and protected by road patrol cars, a "convoy" formation was formed to escort the aid warriors to return safely in sections. When the motorcade passed through each designated guard zone set at the expressway underpass, the guard members all saluted and paid their deepest respects to the soldiers who helped Hubei.