Ji Lianying, co-founder of Muniu Technology, was hired as an intelligent networked automobile expert of China-Europe Association.

[Text/Song] Recently, Lin Shi, Secretary General of Intelligent Networked Automobile of China-Europe Association, met with Ji Lianying, co-founder of Mu Niu Technology, at the first private board meeting, and presented a letter of appointment to Ji Lianying to hire him as an intelligent networked automobile expert of China-Europe Association. Subsequently, the two sides exchanged in-depth technical information, development strategy and direction of Muniu Technology.

Ji Lianying received his Ph.D. from Beijing Institute of Technology in 2009. He has worked in embedded systems, human perception technology, artificial intelligence algorithms and other research institutions such as China Academy of Sciences and National University of Singapore. He used to be the technical director of Wuxi Microsense Technology Co., Ltd., and developed the first full-body motion capture system in China. Before he founded Mu Niu, he worked in the University of Chinese Academy of Sciences. Muniu Technology was established in Kansas, USA in May 2015, and the Beijing R&D Center was also established in July. The name of Muniu Technology comes from Muniu Liuma —— The Muniu Liuma invented by Zhuge Liang and others in the Three Kingdoms period is the embryonic form of intelligent transportation. The Muniu team took this as an incentive, embraced the intelligent era and paid tribute to China’s intelligence and wisdom. Muniu Technology has a combination of Chinese and American genes, which has avoided the early exploration stage and directly started to exert its strength in the field of 77GHz. It has been at the forefront of technology from the beginning and has achieved fruitful results.

Ji Lianying said at the meeting: "The core founding teams of the company all graduated from the Institute of Radar Technology of Beijing Institute of Technology and have more than ten years of research and project experience in radar. The company has been focusing on the research and development of millimeter-wave radar, and has profound technology and research and development strength in broadband antenna, MIMO and signal processing, and is at the leading level in the industry. Has more than ten patents. "

Ji Lianying said: "In the radar market, the passenger car market is the largest, but this market is basically monopolized by international manufacturers. In the field of commercial vehicles, foreign manufacturers disdain to do it, which is a very big blue ocean for domestic manufacturers. In the field of autonomous driving, the demand for driverless technology is relatively high. "

Lin Shi, secretary-general of China-Europe Association Intelligent Networked Automobile, pointed out that as a startup company, Muniu Technology has faster and stronger execution compared with large companies, so it may be faster than large companies in the innovation and creation of the same new technology. The popularization of ADAS to low-end cars requires higher cost performance and more practical technical support. China has both the largest manufacturer of low-end cars and a highly innovative enterprise like Muniu Technology, which is the weight to participate in the global automobile market competition.

Lin Shi, Secretary-General of China-Europe Association Intelligent Networked Automobile, is looking forward to the future development of Muniu Technology. He hopes that Muniu Technology will "escort" China’s new energy automobile industry by relying on the "hard power" of its own enterprises in the intelligent era.

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

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

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

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

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

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

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

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

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

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

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

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

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

AI decision is not controlled? Past lives who knows AI in one minute.

Artificial intelligence (AI) means that machines simulate human intelligent behavior by means of learning, reasoning and automation technology. The rise of AI industry originated from the field of computer science, and began to develop since 1950s, but the period of real rapid development was in recent years, especially after 2010. This paper will make a deep analysis of the AI industry from the perspectives of the development history of the AI industry, the upstream and downstream interpretation of the industrial chain, the analysis of key companies and people, and the analysis of industry hotspots.

First, the development process of AI industry

Since 1950, the AI industry has started research and experiments for decades, but it didn’t really enter the outbreak period until after 2010. In 2010, Watson of IBM was in Jeopardy! Beating two famous players in the game attracted global attention. Since then, AlphaGo has defeated the top players in the Go game, which proves the powerful ability of AI technology. In 2017, AlphaGo Zero developed by Google’s DeepMind company defeated the previous AlphaGo, showing a higher level of intelligence. In addition, with the progress of hardware technology, the application of AI industry has become more and more extensive, such as face recognition, autonomous driving, smart home and other fields, which has brought the development of AI industry into a new stage.

Second, the upstream and downstream interpretation of the industrial chain

The industrial chain of AI industry can be divided into three parts: hardware, algorithm and application. In terms of hardware, it mainly includes chips, sensors, servers and other equipment. The algorithm part is the core of AI technology, mainly including machine learning, deep learning, natural language processing and other technologies. The application part is the landing application of AI technology, involving artificial intelligence medical care, smart home, autonomous driving, smart city and other fields.

In the upstream of the industrial chain, chip manufacturers are an important part of the AI industry. At present, the world’s major AI chip manufacturers include Intel, NVIDIA, AMD, Broadcom and other companies. The chip products of these companies can be used in cloud computing, Internet of Things and other scenarios. In the middle reaches, AI algorithm companies are key players, such as Baidu, Google, IBM, Microsoft and other companies have their own AI algorithm research teams. In addition, there are some AI companies that focus on a certain field, such as artificial intelligence medical companies. Downstream, AI application companies are the main components of the AI industry chain, including artificial intelligence medical care, smart home, autonomous driving and other companies. These companies have applied AI technology to actual scenes, which has brought great commercial value.

Third, the analysis of key companies and people

In the AI industry, some key companies and figures have attracted much attention. Among them, Google and Facebook are considered as leading companies in the AI field. Google has strong strength in artificial intelligence research. Through its AI subsidiary DeepMind, Google has made many achievements in the fields of AlphaGo and AlphaZero. Facebook, on the other hand, has shown great strength in the fields of face recognition and speech recognition. By acquiring companies such as Face.com and Wit.ai, Facebook has made many attempts in the field of AI.

In addition, Andrew Ng is considered as one of the important figures in the field of artificial intelligence. He was the leader of Google’s artificial intelligence team and played an important role in some AI projects of Google. Later, he joined Baidu and founded Baidu’s Artificial Intelligence Research Institute, transforming Baidu from a traditional search engine company into an AI company.

Fourth, analysis of industry hotspots

The hot issues in the AI industry mainly involve technology, safety and ethics. In terms of technology, the development of artificial intelligence still faces some challenges, such as how to improve the efficiency of machine learning and how to deal with the problem of data scale. In terms of security, the black box problem of AI has always been concerned, that is, the decision-making process of AI model is opaque and difficult to explain. Ethical issues are also an important topic in the AI industry, such as how to ensure that the development of artificial intelligence is in line with the interests of mankind, how to avoid the negative impact of AI on society, and so on.

In addition, autonomous driving is also an important hot spot in the AI industry. Autopilot technology has a wide application prospect in automobile, logistics and other fields. However, the realization of autonomous driving technology still faces many technical challenges, such as how to deal with complex traffic environment and how to ensure the safety of vehicles.

In short, with the continuous development of AI technology, the prospect of artificial intelligence industry is very broad. At the same time, the development of AI technology also needs the joint efforts of society to ensure that the application of AI is in line with the interests of mankind and avoid negative impacts on society.

After VAR awarded OPE a penalty for Liverpool handball, Salah shot wide and missed the penalty.

Mohamed Salah missed a penalty for OPE against Bournemouth at noon on Saturday.

VAR awarded Liverpool handball

Salah broke the reds’ first goal of the season.

Klopp lost to relegation fighter Bournemouth.

What happened? Liverpool were awarded a penalty for Adam Smith’s handball, which gave them a chance to equalize the score against Bournemouth. Salah stood up for Liverpool’s first penalty of the season and uncharacteristically missed the ball!

The bigger picture: Liverpool hope to take advantage of last week’s 7-0 victory over Manchester United on the South Coast. Philip Bill scored the only goal of the game, and the Red Army fell behind. They thought they had a chance to return to the game before Salah missed the penalty.

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

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

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

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

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

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

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

Jin Hyundai: The company has become the first batch of ecological partners of Baidu Wenxin.

Jin Hyundai said,The company has applied NLP (Natural Language Processing), OCR (Optical Character Recognition) and image recognition technologies in some software systems.At present, the specific application scenarios include:1) Automatic labeling of cadre evaluation.NLP technology is used to label all kinds of documents and materials of cadre evaluation automatically, which breaks through the integration of text multi-classification, semantic recognition and rule engine, and the accuracy of labeling is over 95%, which is completely practical.2) Intelligent search of knowledge base documents.Based on NLP technology, word segmentation, entity recognition and text similarity processing are carried out for document titles and contents, and a labeling system is established to label all documents. Under the traditional search strategy of text matching and sorting, intelligent search based on tags and semantic network is realized, and the accuracy of search results is greatly improved, which is closer to the needs of users.3) Text extraction of biomedical equipment report.Using OCR technology, the experimental reports of biomedical equipment (editable PDF and scanned PDF, etc.) are accurately extracted, which avoids the problems of low efficiency and error-prone caused by manual copying, and solves the problems of small font recognition and table breakage recognition.4) Image recognition of live equipment.OCR technology is used to identify and extract the instrument and interface data of power equipment, which greatly improves the efficiency of manual inspection. Compared with the general OCR model, it further solves the problems of identifying special characters (such as ω, μ) in the power field.5) Intelligent pre-examination of project data.Using image recognition and OCR technology, the key information of the project can be automatically recognized from the paper report image, and seals and signatures of different colors, shapes and sizes can be recognized at the same time. With the company’s further research on artificial intelligence technology and the implementation of measures such as the company’s access to Baidu Wenxin Yiyan, the company will have more and more research results and application scenarios in the field of artificial intelligence in the future. At present, similar products of MOSS are not involved.

ON1 PortrAIt AI 2023 for Mac (super AI intelligent portrait processing software) v17.1.1.13620 activated version.

ON1 Portrait AI is a photo editing software application designed for portrait retouching and enhancement. It uses artificial intelligence (AI) and machine learning algorithms to automatically detect and enhance facial features such as eyes, skin, lips and hair. The software allows users to easily adjust and fine-tune all aspects of their portraits, including skin smoothing, blemish removal, tooth whitening, color correction and so on, with just a few clicks. ON1 Portrait AI can be used as a stand-alone application or as a plug-in for other photo editing software (such as Adobe Photoshop and Lightroom). It is suitable for Windows and Mac operating systems. Generally speaking, ON1 Portrait AI is a powerful tool for photographers and anyone who wants to use advanced AI technology to enhance portrait photos quickly and easily.

ON1 Portrait AI 2023 for Mac (Super AI Intelligent Portrait Processing Software) https://mac.macsc.com/mac/3885.html? id=Mjk0ODE5

Workflow plug-in ON1 Portrait AI is suitable for almost any workflow. Using ON1 Portrait AI as a plug-in can achieve amazing decoration effect in a few seconds:

  • Adobe Photoshop

  • Adobe Lightroom Classic

  • Adobe Photoshop Elements

  • Affinity Photo

  • Capture One (coming soon)

  • Apple Photos

  • Corel Paintshop Pro

ON1 Photo RAW with fully integrated portrait AI can be perfectly decorated with just one click. It uses machine learning to find every face in a photo and automatically make them look great. It analyzes every face, and adds some modifications to the skin, eyes and mouth, providing you with professional effects immediately.

Decorative tools and the controls you need

  • The cosmetic options are simply amazing, including smoothing skin, reducing shine, removing blemishes, facial carving and whitening eyes and teeth.

  • Automatically find each face in the photo, analyze it, and add appropriate embellishments according to your preferences.

No longer need lengthy editing sessions.

  • Let AI work for you by batch processing the entire photo folder. For each photo, portrait AI will find each face and automatically add the right amount of modification. It is very suitable for proofreading photos before delivery.

Adjust everyone individually.

  • Each face in the photo has independent control and adjustment. For example, you can use different settings for the bride and groom in wedding photos.

Your editing is nondestructive.

  • All your adjustments and edits are non-destructive. You can edit them again later, and the original photos will not be changed.

How to edit

  • Everything is automatic, but you can also control it completely manually. You can manually adjust the position of your eyes and mouth, draw to refine the skin mask, and use a brush to remove stubborn flaws.

Improve facial shape and lighting

  • By adding fill light to illuminate the face or reshape the face to narrow the chin line or balance the eye size, the common mistakes in lens selection and lighting can be corrected.

Using the power of frequency separation

  • Skin modification uses frequency separation to maintain natural skin texture, while reducing the color and tone changes of the whole skin. It creates flawless but natural-looking skin.

Easily remove flaws

  • Small flaws can be automatically reduced, while larger flaws can be removed by using the built-in content-aware eraser and clone stamp.

Presets that suit your style

  • Easily create your own preset to define your decoration style.

Messi assists Mbappé to beat brest 2-1 away.

Messi assists Mbappé in the lore.

In the early morning of March 12th, Beijing time, brest played at home in the 27th round of Ligue 1 against Paris Saint-Germain. As there are probably four relegation teams in Ligue 1 this season, brest ranks 15th, but only one point ahead of the relegation zone. In terms of total value, the Paris team is as high as 890 million, while brest is only 80 million.

In the 37th minute of the game, Messi instigated the attack, and Mbappé shot hard and was saved, but the ball was not far away, and Sohler made up the shot to break the goal.

In the 44th minute, brest got the chance through a simple long pass, and Hornot faced the defense of the two men and shot from a small angle to equalize the score.

In the 90th minute, Messi sent a wonderful assist, Mbappé passed the goalkeeper and finished the lore. Messi completed the milestone of 300 assists and Mbappé scored 2000 goals.

In the end, Paris beat brest 2-1 away, got rid of the depression of the Champions League and ushered in a four-game winning streak.

At 22: 30 pm on March 11th, Bayern beat augsburg 5-3 in the 24th round of the Bundesliga.

In the second minute, Berisha turned and shot low, hitting the ball into the lower right corner of the goal. Sommer couldn’t save it, and Bayern scored 0-1.

In the 16th minute, Sane divided the ball to the right in front of the penalty area. Cancelo caught the ball and entered the penalty area. He swung past the defender’s right foot and volleyed at a small angle. Bayern equalized the score 1-1.

In the 19th minute, Manet passed the ball with a barb on the right side of the penalty area, and pawar shot the ball in front of the door. Bayern overtook augsburg 2-1.

In the 35th minute, Bayern’s right corner kicked into the penalty area, and Delicht grabbed the header in the middle, and the goalkeeper flew to save the ball. pawar’s right foot volley in front of the door scored twice, and Bayern scored 3-1 augsburg.

In the 45th minute, Manet volleyed his left foot from the restricted area and was saved. Sanet headed into the empty net in front of the door, and Bayern led augsburg 4-1.

In the 55th minute, Berisha took the penalty. He tricked Sommer into hitting the right side of the goal and scored twice. augsburg was 2-4 behind Bayern.

In the 74th minute, Bayern made a reactionary fast break after stealing in the frontcourt. Cancelo passed the back point on the right side of the penalty area, Alfonso Davidson volleyed the goal, and Bayern led augsburg 5-2.

In the 93rd minute, Vargas made a high-speed dash with the ball on the left, and came to the front of the bottom line on the left side of the penalty area. cardona followed him and scored a goal. augsburg scored 3-5 Bayern.

Bayern started: 27- Sommer, 2- Yu Pamekano, 4- Driget (83′ 23-Blind), 5- pawar, 19- Alfonso-Davies (77′ 40- Mazravi), 22- Cancelo, 6- kimmich, 7- Gnabry (71′ 25-Muller).

Augsburg starting: 1- Ji Chivici, 2- Gumny (46′ 22-Yago), 6- Gouweleeuw, 23- Bauer, 3- pedersen, 27- engers (46′ 13- Rexbeke), 14- Baumgartlinger, 10-A- Mayer (77′ 34

Eagle Big Coffee Talk | Professor Tang Shiqi: Retinal image AI helps health risk assessment

Faced with the aging population and the rising prevalence of various chronic diseases, reasonable and scientific health risk assessment and management are helpful to better control personal and overall medical expenses and protect personal health interests to the greatest extent.

In recent years, the advantages of retinal image AI in health risk assessment have been shown. What advantages does it have? What value can it bring to the physical examination center and related departments?

At the Frontier Innovation and Wisdom Forum of the 9th 301 Discussion on Health and the 11th Summit Forum of Directors of National Physical Examination Center,Professor Tang Shiqi, deputy director of Health Management Branch of Chinese Medical Association, president of Hubei Health Management Society and academic leader of Health Management Center of Wuhan University People’s Hospital.Make a wonderful share with the title "Retinal Image AI Helps Health Risk Assessment".

In her speech, she pointed out:"Apart from the loss of life, there is nothing more frightening than the loss of vision. It is suggested that fundus photography should be added to chronic disease screening, eye health should be included in chronic disease system, fundus examination should be paid attention to, and the threshold should be moved forward to realize early detection and diagnosis of chronic diseases. "

The transcript of the speech is edited as follows:

Thank you very much for your introduction. The topic I share with you below is "Retinal Image AI Helps Health Risk Assessment". I will share it with you from four aspects, namely, the current situation of fundus diseases, retina as the best health assessment window, assessment of various diseases through retina, and the application of artificial intelligence products of retinal images.

Present situation of fundus diseases

"The 14th Five-Year National Eye Health Plan" listed fundus diseases as the key eye diseases in the next five years for the first time, and proposed early detection, early diagnosis and early treatment to reduce the blindness rate of diseases.

The burden of fundus diseases is heavy. There are more than 40 million patients with fundus diseases in China, and the distribution of medical resources is still uneven. At present, as the most important blinding eye disease in China, the clinical status of fundus diseases can be said to have a long way to go. This is also the main reason why our country has made fundus diseases a new disease in the National Eye Health Plan of the 14th Five-Year Plan released this year.

our countrydiabetesThe prevalence rate has reached 10%~13%, among which the prevalence rate of diabetic retinopathy in diabetic population is as high as 15%~43%. Then the risk of blindness in diabetic patients is 50~80 times greater than that in non-diabetic patients.

hypertensionIt is a common cardiovascular disease. The incidence rate in China is 5.11%, and about 70% of patients have fundus diseases. With the development of the course of the disease, changes such as hemorrhage, hard exudation, lint spots and the like appear in the fundus, and papilledema may occur in severe cases.

Age-related macular degeneration.For those of us over 50 years old, about one in every six people has macular degeneration. Early detection, diagnosis and treatment of macular degeneration are of great significance to protect central vision and prevent blindness. Therefore, it is recommended that people over 50 years old have a routine eye examination every year.

Fundus lesion caused by high myopia.There are about 70 million people with myopia greater than 600 degrees in China. It is recommended to screen the fundus every six months to one year.

Therefore, we should promote the shift from blindness prevention to universal eye health, move the screening threshold forward, and improve the screening of diseases. At the same time, we should pay attention to the early screening of fundus diseases, expand the screening work and avoid irreversible blindness.

It is the best window for retinal health assessment.

There are very important structures in the fundus, including the optic nerve, retina, retinal arteries and veins, macular area, etc., and this is the area examined by the fundus.

Many fundus diseases have no obvious symptoms in the early stage and are difficult to be detected. However, the early stage is often the right time for treatment. Once missed, the lost vision may not be well recovered. 80%~90% of fundus diseases can be screened by taking a photo of fundus.

In addition, medical practice has proved that in addition to ophthalmic diseases, manyCardiovascular, neurological, endocrineOther diseases have obvious or even characteristic changes in the retina.

Evaluation of various diseases through retina

First of all.Diagnosis of diabetic retinopathy by retinal image AI. An SCI article published by Shibei Hospital, Jing ‘an District, Shanghai shows that artificial intelligence has high sensitivity and specificity in detecting sugar webs and proliferative sugar webs (the sensitivity and specificity of detecting sugar webs are 90.79%, 98.5%, AUC=0.946;; The sensitivity and specificity of detecting proliferative sugar net are 91.18%, 98.79%, AUC=0.950). It is feasible to carry out screening of sugar net based on artificial intelligence in community hospital outpatient department.

AI auxiliary diagnosis system for retinal diseases.This article of Zhongshan Eye Center of Sun Yat-sen University was published in the sub-issue of The Lancet, and its SCI impact factor was very high, reaching 24.519. Studies have confirmed that this "comprehensive intelligent diagnosis expert of fundus diseases" developed by Eagle Pupil Airdoc can identify 14 common fundus abnormalities, with an average AUC of 0.955, and it performs well in the screening of various fundus abnormalities.

Retinal image AI to judge ischemic cerebrovascular disease.This is also a paper published in Science Bulletin, a journal sponsored by China Academy of Sciences, with an impact factor of 11.78. The results verified by the team of Peking University Medical School and Tongren Hospital show that (the model) plays a positive role in early detection of high-risk groups of cardiovascular diseases, guiding active intervention, monitoring and evaluating the intervention effect.

The traditional evaluation method of ischemic cerebrovascular disease has many collection indexes, so it needs invasive collection. The blood test takes a certain time, 2~4 hours, so the calculation is complicated and it is difficult to popularize. The new evaluation method based on China’s cardiovascular risk prediction model is retinal image +AI deep learning algorithm, which only needs fundus photography, non-invasive collection, and the detection time is 1 minute, and the report can be made directly in about 1 minute.

Retinal image AI can also evaluate Alzheimer’s disease.The retina is a part of our brain tissue. The degeneration of cranial nerves is also reflected in the subtle changes of retina. Taking CAIDE≥10 copies as the classification standard for high-risk groups (CAIDE dementia risk score is a risk assessment tool for the general population), the retinal AI algorithm is superior to the traditional invasive and complex dementia assessment, that is, it can be assessed by taking retinal photographs.

Retinal AI can also evaluate anemia.Retinal photographs of patients with anemia are usually pale or pale in background, pale in optic disc, and mild edema. The veins are pale. According to the model of retinal artificial intelligence, the AUC of anemia is > 0.9.

Application of retinal artificial intelligence products

Eagle Eye’s products are very good. It has multi-dimensional products and services. First of all, their artificial intelligence auxiliary diagnosis software can screen fundus diseases and lesions, make auxiliary diagnosis and assess the health risk of systemic chronic diseases, and has comprehensive qualifications, including the first three types of ophthalmology certificates in China, including the second, third and CE certificates.

Has excellent performance. The accuracy, specificity and sensitivity are leading in the world, and it is suitable for all mainstream fundus cameras in the market, including Canon and Topcom.

In addition, there is an authoritative endorsement. Carry out the world’s largest real-world research, with the results published in The Lancet magazine; Won the Wu Wenjun Prize twice, the highest award of artificial intelligence in China.

Eagle Airdoc’s fundus camera has the advantages of pupil-free, full-automatic, self-help (no operator required) and no professional darkroom. It is a self-developed domestic camera with high cost performance.

But also provide operational support services. Performance support, training support, follow-up of positive cases, and review by superior medical institutions, the Internet and hospitals.

(For the physical examination center), the retina image AI of Eagle Pupil Airdoc has seven values:

First,Upgrade the ability of eye examination.It can be used for auxiliary diagnosis of fundus diseases and risk assessment of systemic chronic diseases.

Second,Improve the standardization of diagnosis and treatment.It is a registered product, with standardized report, stable state, authenticity and reliability.

Third,Increase the efficiency of effective physical examination centers.

Fourth,Improve academic ability.It can quantify and multi-dimensionally empower scientific research, and artificial intelligence can improve the probability of project application, and expand clinical research opportunities of multi-departments and multi-diseases.

Fifth,Make up for the shortage of ophthalmologists.Automatic shooting, without doctor’s operation, AI-assisted diagnosis of liberation ophthalmologist. Nurses can easily operate it, and it is suitable for in-hospital examination and external examination.

Sixth,It is convenient to check in many occasions.The equipment is small, easy to operate, intelligent and fast, and it can be used in the out-of-home medical examination vehicle, which is suitable for large-scale screening.

Seventh,Historical comparison and continuous management.Realize automatic historical comparison of multiple inspections.

To sum up, apart from the loss of life, there is nothing more frightening than the loss of eyesight. It is suggested that fundus photography should be added to chronic disease screening, eye health should be included in chronic disease system, fundus examination should be paid attention, and the threshold should be moved forward to realize early detection and diagnosis of chronic diseases. A photo of the fundus, early knowledge of the disease.

Can’t wait! Chelsea want to win Leipzig in January, and are interested in being a good frontcourt player in Brighton.

Chelsea have been paying attention to Nkunku for a long time. As many teams are eyeing this Leipzig Red Bull general, the Blues hope to win him first in the winter window. In this way, you can avoid joining the fierce battle for Ming Xia. The Blues know that it is not easy to take such an important player from Leipzig Red Bull in the middle of the season, and I’m afraid it will cost more money than Ming Xia. However, Chelsea is willing to do so, rather than wait until next summer to fight with other teams.

Nkunku has started 14 games in 15 games so far in the new season, and is the regular main force of the team. The data performance of scoring 10 goals and assisting once and participating in the team’s 16 goals is enough to show that this general is still in an excellent state in the new season, which is not much different from last season. As far as Leipzig Red Bull’s player operation strategy is concerned, the price-in-place area is, uh, no sale, but the club prefers to let Nkunku go at the end of the season, not in the middle. There was a player trade between Chelsea and Leipzig Red Bull. Werner is an example. At the beginning, the Blues met the buyout request of Leipzig Red Bull, and directly won Werner in full. This season, Leipzig Red Bull bought back, and Chelsea didn’t do much to block the price.

It can be seen that the two clubs still maintain a good relationship. Chelsea hope to use this relationship to persuade Leipzig Red Bull to let Nkunku go in the winter window, and the Blues will try their best to meet the requirements in terms of price. It is reported that Nkunku’s current transfer fee will reach 52 million pounds. It is reported that Chelsea has reached an agreement with the player on a five-year contract, but it has not yet been formally signed. Chelsea hope to finalize Nkunku’s joining as soon as possible to avoid big sleep. After all, there are many teams interested in Nkunku. Although an agreement has been reached with the players, after all, the contract has not been signed, and there will still be variables.

If the negotiations go well, the Blues even hope to reach an agreement with Leipzig Red Bull on the Nkunku deal before the World Cup starts. The current position of the Blues is to win Nkunku as soon as possible, while the Red Bull of Leipzig still insists on Ming Xia’s position of re-selling Nkunku. In addition to Nkunku, Chelsea also want to introduce another middle-front-back player, who is currently playing for Trossat in Brighton. When negotiating with Brighton about its coach Potter, the Blues noticed Trossat. This frontcourt player’s contract with Ming Xia will expire. If a team outside the Premier League persuades players to vote in January, then they can win it without a visa.

Now Atletico Madrid is very interested in Trossat, hoping to win the 27-year-old Argentine frontcourt attacker in the winter window. Chelsea will have to compete with Atletico Madrid, and the Blues have an advantage in the competition for Trossat. Porter had previously coached in Brighton and had a cooperative relationship with Trossat. If Porter contacts Trossat personally, the players will be more willing to vote. If he joins the Blues, Trossat doesn’t have to go to other leagues to get used to playing again. These are the advantages of Chelsea. However, Atletico won’t give up Trossat easily, and will make every effort to pursue it. The primary goal of Chelsea’s winter window is Nkunku, and Trossat is not the primary goal.