work in the field of medicine is the creation of so -called digital twins of the patient ; virtual models of the human body will help predict predisposition, including cancer, and, based on genetic data, choose the most successful treatment protocol. loan potential for business find out the available loan amount without opening an account and documents and get a loan at a 3% reduced rate. we are trusted by millions of entrepreneurs have become a reality.

forever on a gazprombank credit card everything transparently free service 180 days of grace period without additional conditions

and cashback of 1,000 rubles. for the first purchase. sberbanquet is a benefit in every order , products from your favorite stores with discounts up to 60% sberbanquet. delivery is free. the vtb team will offer a solution. open a deposit with a maximum yield of up to 9.5% in a bank branch right now. someone sees a credit card 120 for everything, and i see the possibility of days for everything already in rosbank and you can get it. column smart such gifts are interest-free, buy translate. take off your head to win a credit card 120 for everything rosbank is a real opportunity. he studies the chemical nature

of the substance of heredity by studying processes at the subcellular molecular level. dmitry chubanov, president of skolkovo, has been working in the field of molecular genetics and bioinformatics for more than 5 years at the intersection of two scientific disciplines, a unique product has been born that helps to create the most effective treatment regimen for oncology. we use all available information about the patient at the level of the root cause at the level of his dna in order to select a treatment from all available in the world in our technology , but is connected at the moment when the standard treatment protocol has been exhausted, and it either does not have the proper result, or the patient has not responded to the treatment, that is, there is no positive dynamics . guys, no, but he sends

a biosample of tumors to our laboratory. it can be a tissue fragment, or blood, then this sample goes to the laboratory, where we read its dna sequence , we read its genome. next, the most important thing is what we specialize in. it is the analysis of genomic data in order to provide meaningful guidance for the treatment of this patient, with comprehensive genome profiling, the entire comprehensive list of genes is determined. e, that is, the maximum of all information that can be found out about a patient and used to prescribe genomic profiling drugs is analyzed by a special mathematical model that was created on the basis of a global database on cancer diseases and treatment protocols . today there are about two dozen in the world you of knowledge that store information

accumulated by mankind on various mechanisms that work in oncological disease about drugs and their active molecules. and he molecular interactions according to statistical data, again, the results of the use of different preparations of our algorithms , all this knowledge. uh, put together , systematize and superimpose them on the genomic data of each patient that we study in our laboratory. so now the laboratory data are being analyzed, and for about half an hour and from several tens of gigabytes data will not work. we have a table with several hundred positions in each of which there will be a certain point in dna with its own characteristics and a with

properties properties in terms of the effect on the disease on the patient's body. still, the decision is still made by the doctor. well, the task of artificial intelligence is to show the doctor the entire set of information that was possible to learn about this patient, firstly, by comparing the results of the study with the knowledge bases available in the world. then, finding patterns and dependencies in the patient's data that can help the doctor make the decision. well, by building predictive mathematical models to predict. how will the patient's condition change depending on different treatment strategies? capitalism nikolaevna milkova, a leading specialist in the field of hematology for 12 years. she headed the department of bone marrow transportation, blokhin cancer center kapitalina nikolaevna was one of the first to start working with a service for selecting a treatment protocol,

which forms a neural network at first. if it was, of course, mainly helping patients, and who have already exhausted all the possibilities of standard treatment. that is, a person has already passed all the standards. approaches and surgery and radiation and all types of chemotherapy, drug immunotherapy, and then it is not clear what to do, and this was an indispensable thing for the selection of an individual version of a personal drug suitable for him and in some cases brought success, now this is definitely a more extended version, because it is became more accessible. it's cheaper. it's faster and it's more informative let's say for a wider audience. the circle of both patients and healthy individuals , however, the presence of such progressive technology does not negate the fact that the doctor and only the doctor is the main guide on the path to recovery. artificial intelligence technology allows him to make the right

decisions more quickly. by giving the opportunity to act in the fight against the disease, often ahead of the curve, artificial intelligence can replace 100 doctors and residents, but it cannot replace one doctor of chaos. therefore , of course, artificial intelligence is a super assistant, the essence is about an assistant, but most importantly still a person. generative art is a creative process carried out by an autonomous mechanism. the artist can set a number of rules and patterns, but the role of the creator is played by the system on the screen of three paintings. try to guess. which one was drawn by the artist, and which one is the correct answer using a neural network? all three paintings were created using a russian neural network, kandinsky began to work on its development in january 2021 even before it became the global digital mainstream. that is,

it is a translator. actually from texts picture. here is how we translate from russian there into english into chinese , whatever you like, here the picture is also a kind of language, and we are picking up pairs. here we teach the model and show the correct pairs, we teach the model to do such translation, that is , translation, and in this case we collected specific text data. it took about half a year to assemble the russian-language garden in order, there are 200-300 million. couples of the image text, unlike the abstract artist, can work in several styles from classics to khokhloma and icon painting developers are proud to note that in some respects the russian neural network is superior to foreign counterparts, that is, a metric that measures quality. uh, matching, how close it is to the human eye, that is, how good it looks. and according to this metric. we were higher than open amo.

the model, the modified version of kondinsky 2.0, can generate pictures from requests in srt in one language of the world, including rare iranian and mongolian. and it can also understand the context, for example, on request, a national dish in russian language. she will most likely have a picture with a plate, and if the japanese mission is soup and sushi. well, they joke that in the future, instead of artists, there will be engineers, people who know how to correctly set pronts, that is, texts for neuros, so that they generate what is needed. this, of course, is a joke and not a joke, because artists, including in the future, will engineers because all these tools. of course they will help. in fact, the closest there is to any designer is another interest. a service created on the basis of kandinsky gives the ability to draw in the endless canvas mode, kandinsky generated the mountains of the caucasus for us. but this is not all. the adventures continue. this is an endless picture. this is

an endless picture that can be generated. oh, i kill as much as i want. any text you want, that is, here you can draw a plain, then an eagle that flies, and whatever you like. now, what kind of fantasy is that? you have everything you can do. it is clear that there the sun is not limited to mountains. you can here draw some kind of sports car behind the back of the picture, which were drawn by a neural network, there is a very interesting context related to the fact that the same model is used in your financial products. here, explain how it works, the same mechanism, roughly speaking, draws and pictures and assumes how much the borrower of the bank will return the loans. i'll tell you more than that, this is a model, in fact it can recommend the best protein structure for a vaccine, or

the best lattice structure for a material that has never been in nature. that is how how does it work? in fact, there is a text description that we set. this is plain plain text. next, there is a trained neural network. well, in this case , she was just learning from pictures, so when we talk, there is a summer forest and a starry sky. we see this is approximately the picture that we see here with you. well we can say do it please, it's in style. well, any artist. yes, and here it is the same, that is. the neural network is trained in this way. uh get a request. she knows everything knows examples. uh, how to choose the correct answer from these examples and thus by and large, no matter what you ask, it is important to wean it on the correct examples and then get the correct answer. that is, here,

in fact, the sequence, how it works, so the pictures are good, the materials are good, the proteins are good, the loans are also good. we'll come back a little later, but for now we'll figure it out. what is the future of creative industries with such a rapid development of generative models, as with the appearance of millions of pictures, created by artificial intelligence , the aesthetic coordinates of a person will change about this with his students in lectures, a teacher at the higher school of design talks a lot. oleg pashchenko, even here i seem to be deeply into this , but still i sometimes experience mystical horror from what happens, as if a certain creature, through all these technologies , is trying to channel some of its contents into our visual culture , we feel that the scale of what is happening is

many thousands of times greater than the scale of what is happening has been going on in culture in the production of early digital content ever since. by his example, oleg panchenko shows students that neural networks should not be perceived as rivals , they should be used as an additional tool, for example, when you are in search of inspiration or a form to implement an idea, the logo disappears as a formality sign. he is in captivity of those routes that design thought has already been following. for the entire time of the existence of the profession, as i understand it, the neural network, nothing prevents reviewing these boundaries of this kindergarten, and so she offers unexpected solutions, which when we look at it, we understand that it is really very cool. but i would never have thought to do it myself. the creative process itself is not going anywhere,

because this built-in function for a person was a visual turn of philosophy in culture. now back, probably, a verbal person, but, having received the order of this kind of visualization tools, is able to devote more time and effort to his resource of intellectual activities related to conceptualization with some high- level strategic tasks, delegating smaller ones not soon. she has tasks such as simple visualization , color correction modeling, retouching, and so on and so forth, and delegate all this to machines. now we can afford, uh, to think in big concepts and images. and, uh, complex semantic structures, but, and then the machine visualizes them for us to turn into something visible, for example, machines are already now able to easily replace a creative artisan. if

such an artisan uses as neural network tool, then it has a chance not to remain outsiders. you are against neural networks to me, or if neural networks scare you, and you are primitive, here grandfather, you are no better than those under the weavers who destroyed looms and at the same time, therefore, put sticks in the wheels. eh, progress, indeed, a lot of people were out of work, when the machine was invented in a helmet and ended up on the street and starved and died of hunger. unfortunately, progress is such a jigal, under the wheels of which some people come across. it's a pity but not to fall under these wheels. so you need to learn how to manage this jigernaut to take advantage of these new opportunities.

design, aimed at developing the creation and construction of new medicinal substances, dosage forms and preparations with predetermined properties one of the leading russian institutes of artificial intelligence specialists are engaged in the complex development of projects that are used in various fields from medicine and industry to agriculture one of the areas in which we we are doing. this is an analysis of data from remote sensing of the earth. the so-called satellite imagery and aerial photography. it allows a-a to automate the process of recognition of objects of interest in these pictures, for example, this is the control of illegal. felling monitoring agricultural families here we see a snapshot. the territory is defined and the model automatically marks all the fields in this

territory, there are also technologies that allow you to get vegetative indices and, based on them, uh, draw conclusions about the state plants over large areas. and this , in turn, makes it possible, uh, to carry out so-called precision farming. that is, we, for example, can, and pointwise, apply fertilizers to the soil and such technologies. they both increase the efficiency of agriculture and increase additional yields. one of the areas where the efficiency index of the application of artificial intelligence technology is very high is the search for new functional materials the technology is widely used in the so-called drag design, the creation of new medicines. this is the search for those proteins that are responsible for a particular disease. well, what is called a bio-target, this is selection. e active substances that may

be may be the basis of the drug. this is the optimization of the composition of the drug. all this is the solution of these separate tasks, in fact. it aims to shorten the creation cycle and the findings of the medicinal market. this is now used, in fact, in the entire pharmaceutical industry in everything in all drug development processes. they always start now and always start with a model that allow screening of candidates. or generate new candidates. it naturally replaces there millions of potential experiments. and while the models will have a comparative accuracy with e, a chemical experiment at the moment was still considered. well, it still remains that the cycle of creating a drug is about 10 years and roughly a billion dollars, thanks to the application of learning machine technology approaches. uh, this cycle can be significantly reduced, according to the ministry of economic development, the effect of the introduction

artificial intelligence in 2021 amounted to more than three hundred billion rubles, there are certain statistics by industry, and the industry leaders are, of course, fintech and retail , which use artificial intelligence technologies to a greater extent in their work with clients, and the agricultural industry is at a very good level the health care industry over the past 2 years as part of the federal project for the development of just artificial intelligence. we have laid some kind of base, yes, for development, that is, we have launched a personnel the program that e spoke to, we launched grant support, as well as young companies that are developing. uh, certain products last year. we launched several programs of so-called growing programs, when we already have, uh, a serious team, and there is, uh, a fairly finished product that needs to be adapted to the needs

of a particular customer. we, too, have launched such grants. and now, uh, a new , uh, difficult goal, which was set by the president of our country following the results of the conference held at the end of the last of the year. this is already such a massive introduction of artificial intelligence technology in the economic sector in the region of the russian federation , the significance of breakthroughs in the field of artificial intelligence is colossal. . gdp growth will be supplemented by plus one percent due to artificial intelligence and the government held big sessions. e in areas, for example, medicine, rural farming, transport, and so on, and we see very interesting vivid examples

of the use of artificial intelligence for , say, agronomy, it can improve yields by 10%. well, that is, that's what 10% for russia is, plus 15 million, then, well , this is a noticeable economic effect for the whole country. so, in fact, in every every every direction , thousands of new specialists are needed to solve the future tasks of technological sovereignty. and it is important to solve the problem with it by the grasp of qualified personnel, specialists are certainly needed, and we have launched a number of measures that are actively working and in demand a. we conduct the so-called additional education, and according to the results of last year , more than one and a half thousand people passed through additional education through the additional education program, and we are actively holding olympiads in the field of artificial intelligence for secondary school students, and they are also a great

success. and besides, the so-called akatons are held where a young teams, and young development companies, but solve certain cases, and large customers and more 30 hackathons were held across the country , and last year will be held this year, and napolisa has been working for 2 years to connect promising students with business representatives to solve specific problems. i came to the university, that is, in the seventeenth year. and here is the twentieth year. i'm like a consumer of this product. i feel like i've changed a lot. uh, the attention of the state, how exactly. university student starts, because at last we realized that there is science here. there is a real perspective here. there is much here. mm ambitious people 21-22. now these are daily meetings. everyday some new tools. daily. there, the

innovation promotion fund is launching a student startup here. i mean, it's very cool. that's just our mission is to create a success story and broadcast them on nurf, guys even from belarus come to us at the moment. we have earned methodological materials created by andy and telegram the startup of 21-year-old venediktor failov is an educational telegram bot that will help you master it disciplines. i wanted more people learned it, thus i use artificial intelligence. created a telegram bot uploaded there, small interactive videos, artificial intelligence is responsible for individually selecting a training program for each student is personalized depending on how the student answered the previous topics to questions from the previous topic with the task we select the following topics based on that he answered the audience - these are students who may have received some kind of

education in college, but lack some competencies in order to find a job, thus this global decision that we give additional education to people in order to close their specific goal is the project of third-year students of the university and napolis nikita surnachev and sofia maria this is a smart text editor. we don't want to make professional writing better, we want to make bad writing better and there's a lot of demand for that. actually. we are a writing stand in a broad sense, meaning we don't just correct spelling and punctuation errors. how it makes word e text tools. we teach and help to use it correctly. that is, we help. uh, use beautiful words to paraphrase the text. instead of some usual e, delayed words. like cool , we will select more unique and suitable words in the text. for example , an aesthetic text assistant, based

on user history, will be able to guess what a person wants to write and will suggest. how to express a thought correctly, in addition to this, we want to make a function that allows you to your text. apply arbitrary user user request . maybe, for example. want to add some scientific words to your text if, for example, it is not very well versed in some area. this sounds futuristic. but, and now it works fine in english, when i came here to the university by train, when i saw the guys whom i started asking, they are through every second use attendant in computer science, that is , they do not know any boundaries in what what they can i.e. they don't say i can't now they say how much i have time in the next 5 years, we will observe an even more rapid development of artificial intelligence technology, neural assistants will more densely penetrate into everyday life will appear in every specialty in 3 years. you can program very well in python. moreover, you will not know that you

are programming just to say, what to do, let's say in our grid, right? or there, uh, other grids will appear and say what needs to be done and get good code that will immediately run in the cloud and execute what you he was asked. and the task of a modern progressive person is to master these new tools, to learn routine tasks to competently delegate the machine, to dedicate the freed time to generating new ideas that will further move progress. why are you digging there? we are going to give him the title of righteous among the world does not want to talk about it, how old we were then.

righteous with weapons

15 hours of the capital with you russia 24 we talk about the main topics of this sunday president putin held a telephone in a conversation with taip erdogan, the head of state spoke about topical issues on the bilateral agenda. in addition, the russian president congratulated his turkish counterpart on his birthday. today he is 69 years old. putin noted erdogan's great contribution to the development of relations between our countries . the full text of the congratulations was published on the kremlin's website in a message. the president of russia calls the leader of turkey and another friend notes his high authority as