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molecular genetics studies the chemical

nature of the substance of heredity by studying processes at the subcellular molecular level chabanov has been working in the field of molecular genetics and bioinformatics for more than five years at the junction of two scientific disciplines, a unique product has been born that helps to form 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 of our technology, but is connected at the moment when the standard treatment protocol has been exhausted, and it either should not lead to a lime result, or the patient responded to treatment, that is, there is no positive dynamics. there are no boys, but he sends us to the laboratory, and beer is a sample of tumors. it can be a tissue fragment, or blood, then this sample goes to the laboratory,

where we read his dna sequence , we read his genome and then the most important thing is what we specialize in. it is the analysis of genomic data in order to obtain a meaningful guide to the treatment of this patient when comprehensive gene profiling is determined by the entire exhaustive list of genes. e, that is , the maximum of all information that can be found out about the patient and used to prescribe genomic profiling drugs is analyzed by a special mathematical model that was created based on a global database of cancers and treatment protocols. today, there are about two dozen knowledge bases in the world that store information accumulated by mankind on various mechanisms that work in oncological diseases about drugs, their active

molecules, and intermolecular interactions, statistical data, again, the results of using different drugs, our algorithms . all this knowledge is collected together, systematized and superimposed on the genomic data of each the patient we are examining in our laboratory. so now the laboratory data is analyzed, and for about half an hour and from several tens of gigabytes of data we will get a table with several hundred. positions in each of which will be a certain point in dna with its own characteristics and e, its properties properties in terms of influencing the disease on the patient's body. still, the decision is still made by the doctor. well,

the task of artificial intelligence. show the doctor the whole set of information that managed to find out 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 a decision. well, by building predictive mathematical models to predict. how the patient's condition will change depending on different treatment strategies nikolaevna melkova, a leading specialist in the field of hematology for 12 years, she headed the transport department. and bone brain oncological centers named after blokhin kapitolina 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 gone through all the standard 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 in an individual version of a personal one suitable for him in the preparation and in been successful in a number of cases, but now it is definitely a more advanced version, because it has become more accessible. it's cheaper. it's faster and it's more informative, let's say for a wider range 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 way to recovery. artificial intelligence technology allows him to make the right decisions more quickly. giving the opportunity to act in the fight against the disease often on advance artificial intelligence. yes, it can replace 100 doctors and residents, but it

cannot replace one doctor of chaos, therefore , of course, artificial intelligence, super assistant super assistant, but the main thing is 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 creators seem to favor a system on the screen of three paintings. try to guess. which one is drawn by the artist, and which one is the correct answer with the help of a neural network all three paintings were created with the help of 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 the texts of the picture. here's how we translate from russian there into english into chinese, whatever you like, 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 data text. it took about half a year to assemble the russian-speaking garden. there are 200 300 million pairs of image text, unlike an abstractionist artist knows how to work. in the somewhat classic yes khokhloma and icon painting, the developers proudly note that in some respects the russian neural network is superior to foreign counterparts, that is, uh, a metric that measures quality. uh, matching, how close it is to the human eye, how good it looks, and by that metric. we were higher than open ama. model version kondinsky 2.0 is able to generate pictures from queries 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. it will most likely be a picture with a plate of cracks, and if the japanese mission is soup and dries, that in the future , instead of artists, there will be engineers, people who know how to set fronts correctly, that is, neuros texts so that they generate what is needed this is of course , a joke and not a joke, because it's bad. including in in the future, there will be industrial engineers, because all these tools they will certainly become assistants, basically the nearest there to any designer, another interest. new, if kandinsky makes it possible to draw in the mode of an infinite canvas, kondinsky generated the mountains of the caucasus for us. but this is not all. the adventures continue. this is an infinite picture of everything, so it is an infinite 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. here, what kind of fantasy? you have everything you can do. it is clear that there the sun is not limited to the mountains. you can draw here. some kind of sports car. and now we have behind us the pictures that were drawn by the neural network, kondinskys. 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 suggests. how much the borrower of the bank will return the loan. i'll tell you more than that model, in fact it can recommend the best protein structure for a given vaccine, or the best lattice structure for some material that has never been found 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 the usual 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 talk please do it, 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 all the examples and knows. 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 right examples and then get the right 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. 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 into our we feel that the scale of what is happening is many thousands of times greater than the scale of what has happened in culture in the production of digital content so far.

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, it makes a sign, a corporate identity , a logo, it is also a sign that it is captured by those routes that design thought has already been following. for the entire time the profession has existed, as i understand it, the neural network, nothing prevents us from reviewing these boundaries of this kindergarten, and therefore it offers unexpected solutions, which when we look at we understand that this 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,

and, having received the order of this kind of tool or visualization, it is able to devote more time and effort of its resource to intellectual activities associated with conceptualization with some high -level strategic tasks, delegating smaller tasks such as simple visualization, modeling , color correction, retouching, and others, and the rest is delegated by machines. now we can afford, uh, to think in big concepts and images. and, uh, complex semantic structures, ah, and the machine takes care of them for us then it visualizes to turn into something visible, for example, machines are already now able to easily replace a creative artisan. for such an artisan uses neural networks as a tool, then he has a chance not to remain outsiders against neural networks.

or if the neural network scares you, and you are primitive, grandfather, you are no better than those weavers who destroyed looms and at the same time, therefore , put spokes in the wheels of progress, indeed, many people were out of work, when the helmet was invented and were on the street and starving and dying of hunger. unfortunately, progress is the kind of jenner under the wheels that 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. to tear design, directed development of 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 engaged in the complex development of projects that are used in various fields from medicine and industry to agriculture is one of the areas in which we are engaged. this is an analysis of data from remote sensing of the earth. the so-called satellite images and aerial photography. it allows a-a to automate the process of recognition of objects of interest. in these pictures, the scope of such a development is wide, for example, this is the control of illegal logging. agricultural families here we see a snapshot. territories defined and our model automatically marks all the fields in this area. we also have technologies that allow us to obtain vegetative indices and, on their basis, uh, draw conclusions about

the state of plants in large areas. and this, in turn, makes it possible to carry out the so-called precision farming. that is, we, for example, can apply fertilizers to the soil pointwise and such technologies. they both increase the efficiency of agriculture and increase yields. one of the areas artificial intelligence taxes are very high is the search for new functional materials technology is widely used in the so-called drug design of the creation of new drugs. 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 all pharmaceuticals in everything in all processes drug development. they always start now. ea always start with an uh model that allows candidates to be screened in advance, or else generate new candidates. it naturally replaces there millions of potential experiments, while models. to 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 the coats of arms are a billion dollars, thanks to the use of learning machine technology approaches. uh, this cycle is possible significantly reduce, according to the ministry of economic development, the effect of the introduction of artificial intelligence in 2021 amounted to more than 300 billion rubles . there are certain statistics on industries, and

industry leaders are, of course, fintech and retail , which use artificial intelligence technologies to a greater extent in their work with clients , and at a very good level, the agriculture industry and the healthcare industry over the past 2 years as part of the federal project for the development of just artificial intelligence. we laid some kind of base, yes, for development, that is, we launched a personnel program that i said, and we, e, launched grant support, and for young companies that develop. 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 a new e, difficult goal, a, which is set the president of our country on the results. uh,

held the air journey conference, at the end of last year. this is already such a massive introduction of artificial intelligence technology in the sectors of the economy in the regions 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 large sessions, and in areas , for example, medicine, agriculture, transport, and so on, and we see very interesting vivid examples of the use of artificial intelligence for , say, and agronomy, it allows you to 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 on the whole country. so, in fact, in each each each direction, thousands are needed to solve the future tasks of technological sovereignty new specialists. and it is important to solve the problem with a grasp of qualified personnel, specialists are certainly needed, and we have launched a number of measures that are actively working and in demand. 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 hackathons are held where a young teams, a

young development companies, but solve certain cases, and large customers and more than 30 hackathons were held across the country, and last year they will be held this year, and napolis has been working for 2 years to connect promising students with representatives business 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 how much the attention of the state has changed, exactly how. university student startups, because they finally 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 come from belarus. for now. we have earned methodological materials created by andy and telegram a startup of a 21-year-old venedictor rafailov. this is an educational telegram bot that will help you master it disciplines. i wanted more people to learn how to walk, thus i used the artificial intelligence. i created a telegram bot and uploaded it there, small interactive videos from konstantinlekt are responsible for choosing an individual training program. for each student and personalized depending on how the student answered the previous topics to questions from the previous task topic we select the following topics based on what he answered. before. i know that the audience is students, those who may have received some education in college, but lack some competencies to find a job, thus this global decision is that we give additional education to people to close their specific goal is a project of

third-year students of innopolis university. nikita surnachev and sophia maria rays of ravaina. this is a smart text editor. we do not want to make professional texts. better. we want to make bad lyrics better and this there is a great demand. in fact, we are walls for writing in a broad sense, that is, we do not just correct spelling and punctuation errors. how does word. e text is tools. we teach, we do not help to use it correctly, that is, we help. uh, use nice words to paraphrase text instead of some common hackneyed words, like cool we will pick, uh, more unique and contextual words, 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 custom user user request . maybe, for example, you want to add uh, some scientific words to your text. if he, for example, 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 for a policy, when i saw the guys whom i started asking you through every second 100-point exam in computer science, that is, they do not know any boundaries in what they can, that is, they do not say, i can’t now. they say how much time i have in the next 5 years, we will see even more striving. bodysuits are flatter. tno about everyday life will appear in every specialty in three years. you can program very well in python. moreover, you will not know that you will be programming in python just saying, what to do, let's say in our grid, right? or there uh, other grids will be you will appear and say, what needs to be done

and get a good code that will immediately run in the cloud and execute what you asked him and the task of a modern progressive person. to master these new tools, to learn how to competently delegate routine tasks to machines, to dedicate the freed time to generating new ideas that will further move progress. including isn't it, why are you digging there, if you by this title of the righteous man of the world do not want to talk about it. many come to we with weapons in the family had one valuable

relic, i picked it up, you said you would return it.

over the past day, russian troops have inflicted a complex defeat on several fronts at once, according to the defense ministry, according to the military military department. the losses of the enemy amount to hundreds of people and dozens of pieces of equipment, a tense situation is developing on the line, svatova is criminal. here is what our war correspondent evgeny reports. a similar complex situation is rather complicated, but the initiative. now on the side of the group russian forces and means that operate on the line of criminal light green. let's talk about everything in order of the division of the paratroopers of the rifle division of the russian army. artillery. tankers continue to fight, and heavy battles with the enemy in the flint area are the main task. now to take our military personnel.