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credit cards. 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 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, and it 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 did not respond to treatment, that is, there is no positive dynamics. boys. no, he sends us to the laboratory, and the beer is a sample of the tumor. 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, 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, with complex genome profiling, the entire exhaustive list of genes is determined. e, that is, the maximum of all information that can be learned 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 of

oncological diseases and treatment protocols . today in the world there are about two dozen of you knowledge that is stored in information accumulated by mankind on the mechanisms working in oncological disease about drugs about their active molecules e on intermolecular interactions on 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 is being analyzed, but for about half an hour and from several tens of gigabytes of data it will not work. we have a table with

several hundred positions in each of which there will be a certain dna point with its own characteristics and, er, properties, properties. influence on the disease the patient’s body still makes the decision, but the task of artificial intelligence is to show the doctor the entire set of information that we 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, build predictive mathematical models to predict. how will the patient's condition change depending on different treatment strategies nikolaevna milkova, leading specialist in the field of hematology

for 12 years. she headed the department of bone marrow transplantation, blokhin oncology center kapitalina nikolaevna, one of the first to start working with a service for selecting a treatment protocol , which forms a neural network at first. a person has gone through all the standard approaches and surgery and radiation and all types of chemotherapy or drug immunotherapy. and then it is not clear what do. and this was an indispensable thing for the selection in the individual version of the personal experience included in the drug and in some cases brought success, but now it is definitely a more extended 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 the recovery of the technology of artificial intelligence allows him to make the right decisions more quickly. 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 house, therefore artificial intelligence is certainly a super helper, 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 system on the screen of three paintings acts like a creator. try to guess. which of them drawn by the artist, and which is the correct answer with the help of a neural network? all three paintings were created using a russian

neural network, kandinsky began to work closely on its development in january 2021 even before it became the global digital mainstream. that is, this translator is actually from texts to a 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. these are the ones we teach the model and show the correct pairs we teach the model e to do such a translation, that is, a translation, and in this case, we collected these specific texts. 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 who knows how to work. a little before khokhloma and icon painting , the developers proudly note that in some respects the russian neural network is superior to foreign counterparts, that is, a metric that measures quality. eh, correspondence, how

close is it to the human eye, how well it looks, and by that metric. we were higher than the open model version kondinsky 2.0 is able to 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. it will most likely be a picture with a plate of slots, 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 of neurosthemes so that they generated what you need this is, of course, a joke and not a joke, because artists are included. in the future, there will be engineers, because all these tools they will certainly become assistants, basically the nearest there to any designer is another interest. the new gray of kandinsky they give the opportunity to draw in

the mode of an endless canvas kondinsky generated the mountains of the caucasus for us but that 's not all the adventure continues the picture is all because it's an endless picture that can be generated. oh, i kill as much as i want. any text, that is, you can draw here the plain, then the eagle that flies, and whatever. now, what kind of fantasy is this? you have everything you can do. it is clear that there the sun is not limited to the mountains. you can draw here. there is a very interesting context related to the fact that the same model is also 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 repay the loan. 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 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 to receive 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 hand over, it is important to wean it on the correct examples and then get the correct answer. that is, here, in fact, the sequence, then how acts, so pictures are good materials are good squirrels are good credits 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 now i seem to be deep in this, but still i sometimes experience a mystical

horror at the fact that a creature is confused through all these technologies, they are trying to channel some of their content into our visual culture , we feel that the scale of what is happening is many thousands of times greater than the scale of what happened in the culture of production, including digital content still. using his example, oleg pashchenko 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 searching for inspiration or a form for the embodiment of ideas makes the sign of the formality of the logo disappear. it is captivated by those routes that design thought has already been following. for the entire existence of the profession , 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 what it is . and really really cool. but i would never have thought to do it myself. the creative process itself is not going anywhere, because that this is for a human built-in function was a visual twist on the philosophy now in the culture. now back, probably, a verbal person, but , having received the order of such visualization tools, is able to devote more time to the power of his resource of intellectual activity related to conceptualization with some high- level strategic tasks, delegating smaller ones not soon. she has a task such as simple visualization, modeling , color correction, retouching and other ligers. all of these are machines. now we can ourselves allow. e thought 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. for such an artisan uses neural networks as a tool, then he has a chance not to remain outsiders. neural networks or if you are afraid of a neural network, and you are primitive, grandfather, you are no better than those weavers who destroyed looms and at the same time, therefore, put sticks in wheels. eh, progress, indeed , a lot of people were out of work, when the machine was invented and ended up on the street and starved and died of hunger. unfortunately, progress is the kind of juggernaut 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. tearing 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 are 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 zoning of the earth, called these are satellite images and rf is a survey. it allows a-a to automate the process of object recognition in these pictures, for example, this is the control of the illegal you. felling monitoring agricultural families

here we see a snapshot of the territory defined and the model automatically marks all the fields. this area also has technologies that allow you to obtain vegetative indices and, based on them, draw conclusions about the state of plants in large areas. and and it allows already in turn. uh, 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 productivity. one more direction where is the index? artificial intelligence technology change is very high - is the search for new functional materials technology is widely used in the so-called drug design 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 reduce cycle of creation and conclusions 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. ea always starts with an uh model that allows candidates to be screened ahead of time, or else generate new candidates. it naturally replaces there millions of potential experiments. and while the models will have. comparative accuracy e chemical experiments at the moment, it was still believed, well , it still remains that the cycle of creating a drug - it's about 10 years and billion dollar coats of arms,

thanks to the application of machine learning technology approaches. uh, this cycle can be significantly reduced, 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 the 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 , the healthcare industry over the past 2 years within the framework of the federal project for the development of artificial intelligence. we laid some kind of foundation, yes, for development, that is, we launched the personnel program that i mentioned, and we launched grant support for young companies that are developing. uh, certain products last year. we launched several

programs, the so-called growing programs, when there is already, uh, a serious team and there is, uh, a fairly finished product that needs to be adapted to the needs of a particular customer. here we also launched such grants we give them. and now, a new, uh, difficult goal, a, which was set by the president of our country following 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 the areas, for example, medicine, agriculture, transport, and so on, and we see very interesting vivid examples of the use of artificial intelligence for , say, agronomy it improves yield by 10%. well, that is, that's what 10% for russia is plus 15 million. well, this is a noticeable economic effect on the whole country . so, in fact, for each each each the area needs thousands of new specialists to meet the future challenges of technological sovereignty. 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.

university student start, because they finally realized that science is 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 is a support fund innovations are launched here by a student startup. i mean, it's very cool. this is precisely our mission to create a success story and broadcast them on the well of the russian federation, even guys from belarus come to us. at the moment. you have earned methodological materials created landy and telegram bot. the startup of 21-year-old venediktor failov is an educational telegram bot that will help you master it disciplines. i wanted more people to learn it, so 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 there is a previous topic with a task

we select the next topics based on what was answered. yes this. i know that the audience is students, those who may have received some kind of education in college, but lack some kind of competence to find a job, thus this global decides that we give additional education for people to close their specific goal of the project of third -year university students and napolises nikita surnachev and sophia maria luchi. faina - 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. in fact. we are a writing stand in a broad sense, meaning we don't just correct spelling and punctuation errors. how does word e text tools. we teach and help to use it correctly, that is, we help, and use beautiful words to paraphrase the text. instead of some usual e, delayed words. like cool

, we will select more unique and contextually appropriate words. for example , a text assistant is aesthetically pleasing, based on the user story, it will be able to guess what a person wants to write and will prompt. 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 and add e some scientific words to your text. if, for example, he is not very well versed in some area. this sounds futuristic. but, and now it works great in english, when i came here to the university on the train, when i saw the guys whom i started asking. they are through every second such ballroom exam in computer science, that is, they do not know any boundaries in what they can, that is, they do not say, i can not now. they say how much time i have all the time. in the next 5 years we will observe even more rapid development

of artificial intelligence technologies. neuro-assistants more densely penetrated into everyday life will appear in every specialty. in three years. you can program very well in python. and you will not know that you are programming in python. be just saying, what to do, let's say in our grid, huh? or there, uh, other grids will appear, you will say, what needs to be done and get a good code that will immediately run in the cloud and execute something, that you asked him and the task of a modern progressive person. 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.

we'll take care of this. it will be the honest detective. always wondering where it all starts? now everyone will see the producers of good things they want and most importantly, but it is best to check.

i'm generally a peaceful hacker pacifist. and we will meet you. sincerely. all that us surrounds digital precisely will always be the object of attack.

we return to the review of the information picture, ukrainian troops strike at the settlements of donbass, numerous permits are recorded in the city of perevalsk , on the territory of the luhansk people's republic as a result of shelling with the use of american hummers, a multi-storey residential building of a sugar-repairing mechanical plant of power lines and a gas pipeline in the dpr were damaged by catch-up . today makiyivka and panteleymonovka hit donetsk , several dozens of shellings were recorded in a day one civilian was killed and one more was wounded.