Australia is trying to prepare for a plan to produce an mRNA technology vaccine in this country. (Source: Reuters) In a recent meeting with the Senate, Mr. David Luchetti of the Australian Ministry of Industry and Science said that the Australian authorities have asked manufacturers to detail the potential for vaccine development in Australia. Australia. Currently, the Australian Ministry of Technology and Science has received applications from 15 companies, of which 5 are under consideration. The available information shows that if the production of mRNA technology vaccines on the basis of existing factories, it may take Australia 1-2 years to produce the first batches of vaccines. However, if a completely new factory is built, it may take 3-4 years for a new mRNA technology vaccine to be born in Australia. So at the moment it is difficult to predict when Australia will be able to produce an mRNA vaccine. Compared with traditional technology, mRNA promises to be more effective, faster, safer, with fewer side effects; can compare the difference like a motorbike and a jet. To make it easy to understand, the process of synthesizing each protein in the human body is like solving a complex math problem, mRNA becomes a manual of mathematical formulas. If humans can create a vaccine in the form of artificial mRNA, when injected into the body, the mRNA will disguise itself as a “thief” that sneaks in but does not wake up the “host”, it silently builds a defense system. are antibody proteins, so that when the virus attacks, it will be destroyed by that system. Regarding the possibility of Moderna company building a vaccine factory in Australia, Mr. David Luchetti said that Australia is currently in discussions with Moderna about this plan, but until now it is still uncertain about what. (according to VOV)

Australia is trying to prepare for a plan to produce an mRNA technology vaccine in this country. Source: Reuters However, if a completely new factory is built, it may take 3 to 4 years for a new mRNA technology vaccine to be available in Australia. So at the moment it is difficult to predict when Australia will be able to produce an mRNA vaccine. Regarding the possibility of Moderna company building a vaccine production plant in Australia, Mr. David Luchetti said that Australia is currently in discussions with Moderna about this plan, but until now it is still uncertain about what. / .

Buy outright battery – expensive solution for invisible benefits The biggest benefit of buying outright batteries is not in the material value but in the spiritual value. It’s a feeling of ownership. But to get that intangible benefit, customers will have to trade it with a relatively large financial burden. The battery is by far the most expensive component of an electric vehicle, accounting for about 30-40% of the cost, according to UK-based research and consulting firm GlobalData. In the foggy country, most electric cars are still at least $13,000 more expensive than a comparable internal combustion engine car. “The biggest barrier to owning an electric car is cost,” Rod Dennis of RAC, the UK’s leading car service, told The Guardian. Although there has been a “revolution” in battery production costs, falling from $1,000/kWh in 2010 to about $150-200/kWh in 2020, according to James Frith, head of Energy Finance column. New Energy (NEF) of Bloomberg news agency, “for electric vehicles to be as cheap as internal combustion engine cars, the battery price must be brought back to the threshold of $100/kWh”. However, according to Bloomberg, the increase in raw material prices on a global scale can create a “bottleneck” that makes the goal of lowering the price of the “energy heart” of electric vehicles more difficult. “It is not a wise choice to spend thousands of dollars more just for the ‘feel of ownership’. Not to mention, the user will be responsible for all risks with the battery block if any, “said an automotive expert. Swap batteries – more risks, more costs To reduce costs for customers, some electric car manufacturers offer a battery swap policy to separate the battery from the price of the car. Specifically, instead of buying outright, customers will rent the battery pack from the manufacturer or a 3rd party. When the battery is almost depleted, the customer will bring the car to the service workshop to replace the fully charged battery. In August 2020, NIO launched a BaaS (Battery as a Service) battery exchange service with a subscription fee from 980 yuan / month (150 USD). According to “Tesla of China”, the BaaS service helps the company reduce the price of cars by about 70,000 yuan (more than $10,000). For customers, refueling the car also becomes as quick as refueling. However, every coin has two sides, the battery swap policy also shows many inadequacies. Before NIO, the battery swap model was tested in the French and Taiwanese markets, but was not really successful. In 2019, French car company Renault had to stop this policy. “Battery swapping will be more suitable for two and three-wheeled vehicles, using low voltage, usually 48V, and small battery capacity, from 1.5kWh to up to 4kWh”, said CV Raman – Head of Engineering of the company. Maruti Suzuki India, analysis. Raman also said that this is the reason why Maruti Suzuki did not enter the electric car battery swap business. “Car batteries use high voltage, are integrated with many technologies and involve the cooling system. Frequent swapping compromises integrity, creates insecurity and increases the risks associated with electrical contact,” he said. On the other hand, Omprakash Upadhyay, an electric vehicle expert at TATA AutoComp (India), said that swapping batteries does not completely reduce the cost burden for customers. This model requires large, complex and expensive infrastructure as service shops have to keep a large stock of pre-charged batteries at all times. “Invisible medium, each car must have at least two sets of batteries – one set inside the vehicle and one available in the battery replacement station. This increases the cost of the car a lot, given the fact that the battery is the most expensive component in an electric vehicle,” Upadhyay said. Battery subscription – optimal for economy, maximum for safety The battery subscription policy that some companies like VinFast apply can be considered a perfect solution, helping to balance both the advantages and limitations of the two forms of outright purchase and swap. In economic terms, instead of having to spend “a lump” of thousands of dollars to buy batteries, customers will be leased batteries by manufacturers. The monthly subscription fee is offered by the company based on the calculation of the average distance traveled. With the VF e34 model, VinFast applies a subscription fee of 1.45 million VND/month for a distance of 1,400km, meeting the average travel demand well. “Operating costs, including battery rental and electric charging, are equal to the cost of gasoline consumption, and the price and features are superior to gasoline cars,” said Ms. Thai Thi Thanh Hai – General Director of VinFast. . According to estimates by GlobalData, the cost of buying a battery pack is equivalent to the total subscription fee for more than 8 years. The form of “split” cost over time is currently quite popular with technology products and services such as phone, television or Internet packages. In particular, the indispensable advantage of the subscription form is that the manufacturer will be responsible for the battery throughout the product life cycle, even to the recycling stage, bringing absolute peace of mind and peace to customers. row. Like VinFast, the company is committed to replacing customers with a new battery pack when the battery’s ability to receive charge drops below 70%. This is a “super benefit” that customers who buy the battery outright do not get. “Battery rental helps car owners benefit more when the battery is checked, maintained and serviced in a timely manner by the manufacturer. This model will be the key for electric vehicles to develop on a large scale, “said GlobalData.

To join Miss Universe 2020, Khanh Van and the crew prepared very carefully in terms of costumes so that she could shine and leave her mark right from the first days of flying to the US to attend the Miss Universe contest for the second time. 69. On May 2, when she was at the airport to fly to the US, Khanh Van wore a white jumpsuit with hand-painted heart motifs from the audience, e-kip, artists… who loves her. Due to the complicated situation of the COVID-19 epidemic, this year Khanh Van left for the US without many people going to the airport to see off like previous representatives, to avoid crowded gatherings and protect everyone’s health. Therefore, at the press conference on April 27, the guests in attendance drew hearts on the outfit of designer Thuong Gia Ky, each heart is a wish and love that everyone has for them. Khanh Van. Seeing this special outfit, Khanh Van was extremely touched. She appreciates all the affection and has more motivation and confidence for the next days to play her best. It can be seen that the outfits she wears all have their own stories, follow the concept with the meaning of honoring the “loving heart” – the image that she has built since being crowned Miss Universe. Vietnam 2019. In transit in Japan, Khanh Van changed into a bright red outfit, reminiscent of the colors of the country’s flag, which is the spirit of the colors and colors of the shirt that she always carries with her when she goes to the US to ‘war’. Miss Universe 2020. Not only calculating in the dress, the accessories that Khanh Van brought with her to Miss Universe also boldly show the spirit of national pride such as the red mask with the image of the national flag as a tribute to the spirit of the nation. Vietnamese solidarity in the fight against COVID-19. On the first day of arriving in the US, Khanh Van continued to show the subtlety and wise calculations of the crew in an elegant and graceful white dress, showing off her sexy bare shoulders. The highlight on this seemingly simple design is the Vietnamese and American flag motifs printed right on the chest. With this design, Khanh Van wants to show the Vietnam-US friendship as a greeting that she wants to send to international friends as soon as she arrives in the country of flags. Among the hundreds of costumes that Khanh Van will bring to Miss Universe 2020, the beauty’s crew has previously revealed an impressive outfit inspired by the architecture of Ben Thanh market, a place that any visitor When coming to Ho Chi Minh City, everyone must visit. At Miss Universe, with this fancy dress, Khanh Van and her crew hope to be able to promote more about Vietnam’s tourism culture to international friends. After this model appeared, beauty fans all praised for the unique idea. Many viewers commented that the dress could be worn by Khanh Van to participate in the National Costume performance contest. Not only calculating in costumes, but Khanh Van also shows the sophistication when using accessories to hide the messages that she wants to bring to the contest. The earrings that she wore during her journey from san to now until she arrived in the US are also the lucky earrings that helped her get the title of Miss Universe Vietnam 2019. The beauty hopes to be “transmitted”. good luck’ at Miss Universe 2020. With impressive performances in the past few days, Khanh Van has received love from international beauty fans. Most recently, she was voted in the top 21 by Missosology website at Miss Universe 2020. This is a motivation for Khanh Van to shine in the following days at the contest.

Viettel officially operates a system of 20 million billion calculations per second, the largest in Vietnam today (Photo: Dieu Linh) With 20 PetaFlops (20 million billion operations/second), the system reduces the time to train machine learning by dozens of times, can train many concurrent models in parallel, with high complexity. This system also trains continuous model improvement, shortening the time to improve the quality of artificial intelligence models. Supercomputers are invested with computational acceleration technologies, switching devices and synchronous software, similar to those of the world’s top 500 supercomputers. Putting the system into operation marks a new development step for Viettel in realizing Decision 127/QD-TTg dated January 26, 2021 of the Prime Minister promulgating the national strategy on research and development. development and application of artificial intelligence by 2030. According to Mr. Nguyen Dinh Chien, Deputy General Director of Viettel Group, Viettel is determined to invest in artificial intelligence, which is an important field to carry out its pioneering and key mission of creating a digital society. This investment allows Viettel to unleash its creativity, attract leading experts in the industry, as well as be ready to take on great tasks of the country.

This is a turning point that helps Viettel improve its computing capacity to build and operate more complex artificial intelligence (AI) models in a short time, when the demand for computation increases sharply in both quantity and scale. The investment Viettel system has the leading computing performance in Vietnam, reaching 20 PetaFlops (20 million billion calculations/second), helping to reduce machine learning training time by dozens of times. As a result, Viettel Cyber ​​Center can train many models at the same time, with high complexity. The system also trains for continuous model improvement, shortening the time it takes to improve the quality of AI models. The supercomputer invested by Viettel uses computational acceleration technologies, switching devices and synchronous software, similar to the technology of supercomputers in the Top 500 in the world. Putting the system into operation marks a new development step for Viettel in realizing the Decision on promulgating the national strategy on AI research, development and application by 2030, issued by the Prime Minister in January. -2021. Accordingly, by 2030, Vietnam will become a center of innovation, development of AI solutions and applications in the ASEAN region and around the world. Part of a supercomputer – High-performance computing system at Viettel Data Center As the national security and defense enterprise, possessing the largest telecommunications and information technology infrastructure in the country, Viettel aims to play a key role in AI application in the military and defense sectors, as well as other areas of security data safety, network safety and security; urban management, social management and public administration and other areas of social life. Mr. Nguyen Dinh Chien – Deputy General Director of Viettel Group said: “Viettel is determined to invest in AI, which is an important field to carry out its pioneering and key mission of creating a digital society. This investment will allow Viettel to unleash its creativity, attract leading AI experts, ready to take on the country’s big tasks in AI.” Anish Pandey, Regional Director for ASEAN region at NVIDIA (World No. 1 AI Computing Company), said: The high-performance computing system will allow Viettel to create new revenue opportunities and be a company. global pioneer in the use of AI solutions. AI APPLICATION PRODUCTS RESEARCH AND DEVELOPMENT BY VIETTEL – Viettel AI Open platform : A diverse AI technology platform pioneered research and development by a team of engineers at Viettel Cyberspace Center, in order to promote the application of AI, creating benefits for individuals, organizations and businesses provides a full suite of tools for any digital transformation application that can be integrated to automate, improve user experience and optimize costs. – Monitoring information on the Internet – Reputa : A tool to “listen” to the market, support reputation monitoring and evaluate the effectiveness of communication and brand activities for individuals, organizations and businesses. Solutions to help customers manage brands, detect risky problems on the Internet, social networks. – Customer identification – Viettel eKYC : Solution to identify customers electronically without face-to-face meetings with the support of advanced technologies such as Customer Scoring, Computer Vision and Information Authentication. Customer Profile (Customer Profiling) – Vietnamese virtual assistant platform – Viettel Cyberbot : Vietnamese virtual assistant platform, applying the best Vietnamese voice and conversation processing technologies today, helping businesses and authorities build a switchboard system to interact with customers and people automatically . – Data mining platform – Viettel Data Mining Platform : A data mining platform developed with the aim of meeting the needs of integrating and digitizing huge amounts of data, helping businesses find and analyze problems in depth, show the current situation, predict the future, as a scientific basis to support the decision-making process in business strategy, optimize operations and explore new business models. – Intelligent traffic monitoring – Viettel AI Camera for Transportation : Software that applies AI in the field of computer vision to analyze and automatically process signals sent from traffic cameras. Thereby, solving traffic management problems, security and order in the city – Monitoring security and safety – Viettel AI Camera for Safety : Time and attendance management system uses AI to recognize faces, identify identities and record the time of entry and exit of employees. This device compares the captured face image with the available face image in the database. From there, the device will automatically determine the working time and entry of employees.

This is a turning point that helps Viettel improve its computing capacity to build and operate more complex artificial intelligence models in a short time, when the demand for computation increases sharply in both quantity and scale according to the target, By 2030, Vietnam will become a center of innovation and development of AI solutions and applications in the ASEAN region and around the world. Viettel is ready to take on the country’s big tasks on AI. Photo: VT The system invested by Viettel has the leading computing performance in Vietnam, reaching 20 PetaFlops (20 million billion calculations per second), helping to reduce machine learning training time by dozens of times. As a result, Viettel Cyber ​​Center can train many models at the same time, with high complexity. The system also trains for continuous model improvement, shortening the time it takes to improve the quality of AI models. The supercomputer invested by Viettel uses computational acceleration technologies, switching devices and synchronous software, similar to the technology of supercomputers in the Top 500 in the world. Putting the system into operation marks a new development step for Viettel in realizing the Decision on promulgating the national strategy on research, development and application of artificial intelligence by 2030, issued by the Prime Minister. issued last January. As a national security and defense enterprise, possessing the largest telecommunications and information technology infrastructure in the country, Viettel aims to play a key role in applying artificial intelligence in the field of military and defense, as well as other sectors. the field of ensuring data safety, network safety and security; urban management, social management and public administration, and areas of social life. Mr. Nguyen Dinh Chien – Deputy General Director of Viettel Group assessed: “Viettel is determined to invest in artificial intelligence, which is an important field to carry out its pioneering and key mission of creating a digital society. This investment will allow Viettel to unleash its creativity, attract leading AI experts, ready to take on the country’s big tasks in AI.” “The high-performance computing system will enable Viettel to create new revenue opportunities and be a global pioneer in the use of AI solutions.” Anish Pandey, ASEAN Regional Director of NVIDIA (World No. 1 Artificial Intelligence Computing Company) shared. AI application products researched and developed by Viettel: Viettel AI Open platform: Viettel AI platform is a diversified artificial intelligence technology platform pioneered, researched and developed by a team of engineers at Viettel Cyber ​​Center to promote the application of AI and create benefits for individuals. Individuals, organizations, and businesses, providing full tools for any digital transformation application that can be integrated to automate, improve user experience and optimize costs. www.viettelgroup.ai Monitoring information on the Internet – Reputa How to listen to information on the Internet every day? What do customers say about your product? What are your competitors doing? What is the upcoming trend? Reputa is a tool to listen to the market, support reputation monitoring and evaluate the effectiveness of communication and brand activities for individuals, organizations & businesses. Solutions to help customers manage brands, detect risky problems on the Internet, social networks. www.reputa.vn Customer authentication identifier – Viettel eKYC Viettel eKYC is a solution to identify customers electronically without face-to-face meetings thanks to the support of advanced technologies such as Customer Scoring, Computer Vision and Identification. Customer Profile (Customer Profiling) Vietnamese virtual assistant platform – Viettel Cyberbot Viettel Cyberbot (Callbot + Chatbot) is a Vietnamese virtual assistant platform, applying the best Vietnamese voice and conversation processing technologies today, helping Businesses and Governments build a call center system to interact with customers and people automatically. Viettel Cyberbot interacts friendly and natural with customers, helping businesses and governments to digitally transform and optimize customer care resources. Data Mining Platform – Viettel Data Mining Platform Viettel Data Mining Platform is a data mining platform developed with the aim of meeting the needs of integrating and digitizing huge amounts of data, helping businesses find and analyze problems in-depth, point out the current situation, predict predict the future, serve as a scientific basis to support decision-making in business strategies, optimize operations and explore new business models. Intelligent Traffic Monitoring – Viettel AI Camera for Transportation Viettel AI Camera is software that applies artificial intelligence technology in the field of computer vision to analyze and automatically process signals sent from traffic cameras. Thereby, solving traffic management problems, security and order in the city Security and safety monitoring – Viettel AI Camera for Safety The entry and exit management system uses artificial intelligence technology to recognize faces, identify identities and record the time of entry and exit of employees. This device compares the captured face image with the available face image in the database. From there, the device will automatically determine the working time and entry of employees.

The high-performance computing system is invested by Viettel and implemented artificial intelligence projects. Viettel Cyberspace Center (a member of the Military Industry and Telecommunications Group) has officially operated the high-performance computing system at Viettel Data Center. This is a turning point that helps Viettel improve its computing capacity to build and operate more complex artificial intelligence models in a short time. The investment Viettel system has the leading computing performance in Vietnam, reaching 20 PetaFlops (20 million billion calculations per second), which reduces the time to train machine learning dozens of times. As a result, Viettel Cyber ​​Center can simultaneously train many artificial intelligence models with high complexity. This system also trains continuous model improvement, shortening the time to improve the quality of artificial intelligence models. The supercomputer invested by Viettel uses computational acceleration technologies, switches and synchronous software, similar to the technology of supercomputers in the world’s top 500. Putting the system into operation marks a new development step for Viettel in realizing the Decision on promulgating the national strategy on research, development and application of artificial intelligence by 2030, issued by the Prime Minister. issued on January 26th. Viettel aims to play a key role in applying artificial intelligence in the military and defense sectors, as well as in the fields of data safety, cybersecurity, urban management, and social management. society and public administration, and areas of social life. Mr. Nguyen Dinh Chien, Deputy General Director of Viettel Group assessed: “Viettel is determined to invest in artificial intelligence, which is an important field to carry out its pioneering mission and key to creating a digital society. This investment will allow Viettel to unleash its creativity, attract leading experts in artificial intelligence, ready to take on the country’s big tasks in artificial intelligence.”

According to architect (Architect) Khuong Van Muoi, former Chairman of Ho Chi Minh City Association of Architects, it is very necessary to bring air, light and trees into the house. Trees help reduce the heat on summer days, bring fresh air into the house, create comfort for residents. One of the simple ways to bring nature into the house is to design an airy space with lots of openings and wide doors to let the wind circulate. Besides, using good light-absorbing materials such as glass, bright plastic to bring natural light into the house. Trees may be few but arranged in appropriate positions, taking advantage of small trees that can be hung in windows, atriums… Using every pine space to plant trees is the best way to bring nature into the house. Photo: THU TRINH “Green trees should be planted around the house and balcony to bring fresh space. Do not plant many plants in the bedroom because trees absorb O2 and emit CO2, if planted too much will make it difficult for people to breathe when the door is closed. In addition, for small houses, wind and light are even more essential. Therefore, we need to design the house so that natural light enters the house and good ventilation” – Architect Khuong Van Muoi shared. In addition, architect Huynh Bao Toan, Director of a mobile home supplier, shared: In order to bring nature into a small house, in addition to planting trees, homeowners should arrange it reasonably and simply. For small houses, placing too many bulky items will make the space cramped, making it difficult for the air to circulate. Therefore, it is recommended to use simple furniture, smart furniture because they help the house become more spacious and airy. “A suitable arrangement of furniture will have more green space. Currently, the use of smart furniture is very popular, for example, using a sofa in combination with a bed, a dining table with a desk to take up less space,” shared architect Huynh Bao Toan.

Uran-9 combat robot is 5.12m long, 2.53m wide, 2.5m high, with a total combat weight of 12 tons, is the most typical heavy fighting robot among many ground combat robots of the Russian army . Russian Uran-9 combat robot. Source: people.com.cn. The robot is equipped with various sensor modules including laser sensor, photoelectric sensor and thermal image sensor. It is capable of automatic target recognition and tracking. It can detect and track targets to a range of 3,000 meters and maneuver in either remote or automatic mode. The maximum road maneuver speed is 35 km / h and the continuous combat time is 6 hours. The robot is equipped with 1 30mm 2A72 cannon, 4 9M120 Ataka anti-tank guided missile launchers, or 6 RPO Shmel 93mm thermo-missile launchers and 1 PKT / PKTM machine gun. At the same time, the robot can also carry 9K38 surface-to-air missiles, 9K333 mobile air defense missiles and 9M133M anti-tank missiles depending on mission requirements. It can be said that robots can create “fatal” attacks against armored targets, low-range targets and infantry forces. Looking at the development and application of weapons and smart equipment of the Russian Army, it can be seen that Russia has embarked on a path of developing military equipment integrating artificial intelligence different from the West. . Especially from the development and application of the Uran-9 combat robot, three characteristics can be seen in the intelligent military development of the Russian Army. The first is to focus on the real warfare of smart technology. Compared with the West’s search for advanced intelligent technologies, the Russian Army places more emphasis on improving its practical combat capabilities. For example, the Uran-9 combat robot is strong enough to take on an armored infantry team. Heavy armored vehicles can cope with attacks from general infantry weapons and crawler chassis can adapt to complex terrain such as hills and mountains. Especially in the actual combat test in Syria, the Uran-9 combat robot has shown a high level of attack, defense and maneuverability, which can meet the actual combat needs of the ground forces. Russian troops in such missions as fire suppression, fire suppression and infiltration of enemy front lines. In general, the results achieved by the Uran-9 combat robot are due to a design philosophy that meets the practical combat needs. Second, improve the level of intelligence based on the advantages of motorized equipment. The Russian military has always had a strongly mechanized armed force, but its intelligence still has a certain distance from the West. To quickly close this gap, the Russian Army has chosen to push the development of intelligent military equipment in the direction of modularization. The Uranus-9 combat robot’s armor, weapons and chassis are the products of the era of mechanization, while sensors, fire control systems and automated algorithms are products of the age of intelligence. . Through the combination of these two methods, Russian combat robots can quickly adapt to the battlefield in the future. Based on this method of combining traditional equipment with this advanced technology, the Russian military is developing smarter weapons and equipment. Third, to address the shortcomings of conventional forces to develop intelligent weapons and equipment. Under Western containment, it was difficult for the Russian Army to develop conventional weapons and equipment on a large scale and expand its military might. In the face of NATO’s increasingly intense military pressure, Russia needed to compensate for the shortcomings of conventional military might in a manner consistent with its economic requirements. In terms of military might, the newly formed Uran-9 combat robot unit can be said to fulfill this requirement completely. Compared to the involvement of an armored infantry army, the military costs and the risk of the robot unit’s casualties are much lower on the battlefield, which is one of the key reasons why the Russian Army plans to increase. The proportion of unmanned weapons and equipment in the military by 2025 is 30%.

Image source @Visual China

[ThisarticlecomesfromthefeaturedcolumnofTitaniumMedia“Fast Company”】

Recently, Simayi, a program code library analysis platform, announced the completion of US$5.2 million in Series A financing in September last year. This round of financing was led by Jingwei China, with existing investors such as GGV, Lenovo Star, and Polychain following the investment, and the funds will be used For technology investment and product iteration.

According to public information, Simayi was founded in 2018 by Ren Jinglei, PhD in computer science and technology at Tsinghua University. In March of the same year, it received $1.1 million in angel round investment from Polychain Capital and OSS Capital; in May 2020, it received investment from GGV and Lenovo’s Star and Polychain co-invested US$4.1 million in Pre-A round of financing; in September, it received another US$5.2 million in Series A financing from Jingwei China.

After less than 4 years of establishment, it has obtained 3 rounds of financing in a row. What is the appeal of Simayi to investors? Through this financing, Titanium Media interviewed Ren Jinglei, the founder of Simayi.

Founder of Merico: Ren Jinglei

A paper starts the entrepreneurial journey

“Towards Quantifying the Development Value of Code Contributions” published in the international software engineering conference FSE is the basic framework and the most basic technology for the research and development of the SiMayi project, and it is also a support for products to solutions, just like Google’s two Like the founders who published Page Rank, starting from that paper, they have been building the current Google search engine and the entire business empire.” Ren Jinglei told Titanium Media.

After graduating from Tsinghua University with a PhD in Computer Science in 2016, Ren Jinglei worked as a visiting scholar at Stanford University and Carnegie Mellon University to engage in research on software systems. He also contributed code to the open source community before joining Microsoft Research.

During his work at Microsoft Research, he learned that Facebook uses a simple and rude way of counting the number of lines of code to determine bonuses, which made him realize that enterprises have a demand for quantitative programmers. But this method is not suitable for all teams, he began to think, since doing program analysis, can we measure the programmer’s work through some smarter and in-depth analysis methods.

At the same time, there is another problem that has been bothering him. They have been contributing open source code to the community for many years. Now many open source projects have received some donations, and how to allocate these donations reasonably has always been a question he is thinking about. How to make programmers’ intellectual achievements obtain long-term benefits, so as to promote the prosperity of the entire open source community, especially today, 92% of applications rely on open source software.

Based on the above two factors, Ren Jinglei decided to work for quantitative programmers and what to do in the open source community. Therefore, at the end of 2018, he created Simayi together with Yin Hezheng and Roland. The main business is to quantify the work of programmers through in-depth code analysis technology, mainly including program analysis and artificial intelligence.

New scenarios, new data, new architecture

According to the Evans Data Group’s 2019 report, the number of global developers reached 23.9 million, which is expected to grow to 28.7 million within 5 years. At the same time, with the continuous rise of labor costs, the cost of developers is at the forefront, and the R&D team is transforming from extensive growth to refined management and efficiency improvement.

The enterprise version of Simayi launched in early 2019 is based on in-depth code analysis technology and machine learning technology, extracting retrospective data from historical and current code bases, real-time analysis and feedback, and providing software engineering management and talent development for enterprises The solution is to drive management upgrades with smarter metrics, and promote the joint improvement of the development team and individual developers.

At present, indicators such as working hours, line of codes (LOCs, Line of Codes), and number of commits (NOCs, Number of Commits), which are widely used in the market, are relatively “simple and rude” and are easily disturbed by noise such as line breaks and dead codes.

The code analysis engine of SiMayi compiles the code into an abstract syntax tree, and distinguishes the change in the logic amount of the code generated by each submission, so as to judge the workload; in addition, the analysis engine can also analyze the call relationship between the codes. Function influence, combined with code quality and the impact of code on the overall quality of the project, can more accurately and objectively reflect the value of the developer’s work. At present, the analysis engine has supported 15 development languages, and is continuing to be added.

Since the product went online, it has served Tencent, Didi Chuxing, Hexun.com, ICBC Credit Suisse, Changting Technology, Know Chuangyu, Bairong Yunchuang, Ticket Yitong, Kaisi Auto Parts, Weili Technology and other industry customers, which is also reflected in the side The urgent need of enterprises to improve the efficiency of research and development.

Ren Jinglei said that in response to the needs of customers in different industries, the product is continuously upgraded to 3.0, and the product will be fully optimized from the three dimensions of new scenarios, new data, and new architecture.

New scene

The roles of executives, technical leaders, project managers, and developers, and how different the focus and granularity of the effectiveness data required for different roles are. Based on the wrong roles and usage scenarios, Simayi reconstructed the information framework within the product.

Cross-team efficiency comparison view under executive roles

Specifically, executives can quickly review the R&D performance status and trends of different teams or projects, and accurately guide the team’s improvement direction based on the industry performance reference baseline; project managers can grasp the progress of specific iterations in real time and review project efficiency, quality and stability , Quickly find and respond to bottlenecks; technical managers can continue to track the accumulation of technical debt, identify risks at all stages of the software development cycle, and gain detailed insights into the output efficiency and quality of each developer, and promptly motivate outstanding members; developers can use Quantitative research and development efficiency, visually show their contributions, quickly identify the optimization space of their own code, and how to optimize, so as to spontaneously improve the quality of the project and improve the maintainability of software products.

New data

On the basis of the existing code analysis data, it is connected to JIRA’s R&D process management data. On the one hand, the R&D efficiency data is gathered in one place, which is convenient for managers to understand the R&D process and results from multiple perspectives; on the other hand, these indicators It can cross-analyze existing efficiency and quality indicators to generate more in-depth insights and help managers perceive R&D trends in a timely manner.

Support development equivalent multiple indicators and iterative progress chart

At the same time, version 3.0 supplements industry performance data based on open source projects. According to the scale and language of the enterprise project, the Simayi system can automatically match similar excellent open source projects, provide an external baseline reference, and help R&D managers quickly locate the level of their team in the industry, and objectively understand the direction of improvement.

Industry level view

New architecture

Ren Jinglei said that 90% of large companies such as Didi, Tencent, and Taikang Life Insurance used privatized deployment. He found that the company not only has a complex organizational structure, but also has a large number of project levels and a huge amount of code. There may be tens of thousands of code bases. , Dozens of terabytes of code, the scale exceeds the range that the earlier product version can support.

In order to solve this problem, in the release of version 3.0, Si Ma Yi Enough supports complex organization and project structure, rapid import and configuration, which improves the customer’s startup speed and optimizes the use experience. At the same time, the underlying analysis engine also performs technology Refactoring, based on the distributed computing capabilities of K8s, can now support the import and analysis of 10,000-level code bases to meet the needs of large R&D teams.

Deeply cultivate the code analysis market and introduce AI expert system

Ren Jinglei said, “In the future, we will increase investment in two aspects. On the one hand, we will continue to deepen the code analysis market; on the other hand, we will introduce AI expert systems to help companies better interpret the analyzed data.”

Specifically, in the code analysis market, we will continue to open up the front and back links in the R&D process, and access a wider range of R&D data, such as vulnerability and defect data, performance testing, log analysis, etc., and cross-analyze different data to make the R&D process more effective. The overall results can be traced, providing more complete and in-depth insights for R&D management and bringing new commercial value.

Introducing the AI ​​expert system, further productizing the existing light consulting services, improving the system’s ability to interpret data, discover problems, and judge trends, so that data analysis can more directly help R&D management decision-making.

Regarding corporate profitability, Ren Jinglei’s thinking is that the current focus is on privatization deployment of enterprise version products, and subscription fees, because as of the first 4 months of 2021, 150% of last year’s annual sales have been achieved, and all expired customers are retained. Performance. At the same time, it is also expected that public cloud services will be launched this year to provide SME customers with a more convenient and efficient deployment and use experience.

In addition, the open source community version Merco Build was released at the end of 2020, which provides free analysis of the effectiveness and community activity for open source projects, and provides individual contribution reports for open source contributors.

Hope that through the promotion of public cloud services and community version products, continue to accumulate research and development performance data, optimize the underlying computing engine, create a credible in-depth code analysis engine, and become a developer and development team in contribution analysis, performance analysis, competence analysis, etc. Industry Standard.

(This article first published Titanium Media App, author | Guo Hongu, editor | Cai Pengcheng)