amount has just been said, if you transfer dollars one and 1.2 billion dollars, in addition, the increase in the cost of chartering sea vessels for the transport of goods and the cost of international financial settlements and other transactions. led to a drop in the profitability of deliveries by half, similar problems faced by our fertilizer producers, their loss of about 1.60 billion dollars, for example, the cost of imported spare parts for equipment and equipment in general for power generation for them increased by 40%, just hold on to financial transactions of about ten percent. a few more numbers for clarity. pictures, last year ukraine called for about fifty-five million tons of grain exports amounted to 47 million. russia collected 156 million tons of grain last year

, of which 40-8 million. this is wheat 20%, ukraine these figures speak for themselves, it is russia that contributes a colossal contribution to global food security, and all sorts of statements that only ukrainian grain is fed, starving around the world are speculation and lies. i want to assure that our country is able to replace ukrainian grain, as both commercially and on a gratuitous basis, especially since this year , as the minister reported, we again expect a record harvest , taking into account all the factors that the continuation of the grain deal in the form in which it existed has lost any sense of extending this so-called

transactions, starting from july 18, its implementation was made for the global food market for many states. the principles of russia's participation in this deal, and she remembers what it is about. the first is the withdrawal from sanctions of supplies of russian grain and fertilizers to world markets. second , all barriers to russian banks and financial institutions that service food and fertilizer supplies must be removed. in particular, we are talking about their immediate connection to the international

banking system of settlements. we don't need some promises. on this score, some ideas. we need these conditions to be met. third, deliveries to russia of spare parts, components for agricultural machinery and the fertilizer industry should be resumed; further, all issues should be resolved. issues with the fractic of ships and insurance of russian export food supplies provided all the logistics of food supplies. further, unhindered conditions must be provided for expanding the supply of russian strikes. including should be restored, which was blown up and destroyed clearly by order of the kiev regime, no assessment from the side.

russian assets related to agriculture should be unblocked, i will not list further all the positions and conditions for the participation of our country. in this grain deal. they are specified in particular in the corresponding memorandum of russia on s. nim. it is possible to familiarize, but the main thing to the western colleagues. you need to fulfill them. the only thing i want to emphasize in them was that initially the essence of the meaning of the grain deal had colossal humanitarian significance. the west is the essence of completely empty and perverted, and instead of helping countries that really need it, the west used the grain deal for political blackmail. and besides, as i said, it made it a tool for the enrichment of transnational corporations speculators at the global level. for russia to return the deal, this is the restoration of its original humanitarian

essence. here, under these conditions, with the fulfillment of all these conditions. they did not come up with these conditions by me now, but as soon as they are fulfilled. we immediately. here's the deal back. well, let's get to the main question. please, maxim gnatevich, and the introduction of artificial intelligence. dear vladimir vladimirovich dear colleagues, the development of artificial intelligence is one of the key conditions for achieving the country's technological sovereignty - artificial intelligence. today it is a face recognition technology for security - it is a predictive analytics for predicting the yield of fertilizing production processes. this is image recognition in medicine. this is computer vision in production systems and much more. therefore, along with the whole world, russia

devotes the topic of artificial intelligence. special attention. we have a growing market for products that use such technologies last year, it increased by 18% and reached almost 650 billion rubles. but unlike from many other countries. russia has companies that create a world- class solution. at the same time, the government is working on the agenda of artificial intelligence in two directions. first, we are implementing the national strategy until 2030. and secondly, following the results of the annual ajourney conference, we are supplementing our work in accordance with the instructions that vladimirovich issued following this conference. you give the federal project, artificial intelligence, as the main tool for implementing the strategy. it includes three main areas of work. the first is the development of fundamental and applied science on the basis of leading universities and

scientific organizations. currently , six research centers have been established. they are looking for approaches. how to train neural networks on a smaller amount of data, how to increase the speed of calculations using machine learning, create new methods and architectures for the formation of neural networks , more than 5 billion rubles have been allocated from the federal budget for these studies. for 4 years colleagues. they already present papers at international conferences, while being selected on an equal footing with key developers of artificial intelligence both in russia and in the world. and this confirms the quality of their work , the performance indicators of the centers are the fact that they are preparing a solution for the implementation of artificial intelligence for business. and our colleagues in the centers raised almost 2.5 billion rubles for this. private financing from leading russian companies. the second task is the training of personnel since last year, more than 100 universities have launched undergraduate and graduate programs to train specialists in

artificial intelligence. now we have it has 3,000 students and four times as many students from next year. that is up to 12,000 people. we will increase, and the number of those who study there is also training and, as part of additional professional education , almost 2,000 people completed training in popular specialties from data analyst to project manager in the field of artificial intelligence last year. the same number are studying now and 90% of the costs of such training are compensated from the budget to involve young people in development artificial intelligence technologies. we hold hackathons among young it specialists. for 2 years , more than 20,000 people took part in them. well, what is a vladimirovich hackathon when companies offer their practical solutions? well, in practice, let’s say, yes, the problems that need to be solved are announced by a certain, and the bonus fund and teams of specialists for young people for

two or two days there, but they offer their solutions, as it were, yes, and at the same time there are clear criteria, the metrics have been decided did not solve the problem and then these tasks are already brought further, what is called being introduced into life. here, for example, at one of the hackathons in moscow , literally in may of this year, participants fought for a prize fund of 3 million rubles. according to five real cases from the company and departments , as a result, in 48 hours of work , the winning team from novosibirsk proposed a solution using artificial intelligence, which will allow farmers to determine. what are the best medicinal plants, where to grow them on different soils, taking into account the specifics, and so on at the same time. subject delivered by the agricultural company from belgorod, thanks to such methods, we and the youth are involving and we are testing the solution. hmm, the third task of the federal project is grant support for development companies over the past 2 years. 7 billion rubles were allocated for this. first, we

support small projects through the innovation action function. there companies receive grants up to 50 million rubles. we have already financed the projects of more than 750 companies, and we meet with grant recipients from time to time. well, at the last meeting they discussed the company created a platform that helps you plan the cheapest and fastest routes. transportation of products another developer introduced a service, and for the distribution of tasks, taking into account the workload of employees. well, that is , i cite these examples, to show that it is really practically specific tasks that are in production at the company's enterprises that they solve their proposals for and promote the fund. skolkovo finances the revision. a solution for the needs of already large customers, thus we reduce the risks of the customer during the first implementation far not all companies believe in this, not all companies are ready to invest in improvements. well, let's just say not always ready -made and proven solutions that have some kind of long, long success story, so we finance such

companies, which means, or rather, customer companies, to try and take risks. we have eight development companies received more than half a billion rubles of all developers that we support include a special registry of innovative companies that have been created. and this allows us to track the stages their development and attract investors, because there is a special showcase for investors and, accordingly, when companies need plants, they need capital and russian investors can, so, show interest in investing in our register now more than 1,000 start-ups, which have a solution using artificial intelligence to expand the scope of ai, also helps. experimental legal regimes today we have six regimes in the field of unmanned vehicles, three of which have provided launch of passenger and cargo ground drones. this is the well-known experience of already cargo transportation. moscow peter uh, means, uh, unmanned cargo and what you are on the policy and in moscow now went out on the taxi road. uh,

also means unmanned mode is all we have experimental legal regimes. there is a lot of artificial intelligence used , three more modes are set for testing drones. they will be used for agricultural work and monitoring forest fires, just yesterday. mikhail vladimirovich signed a decree that will give another experiment in the field of telemedicine. for a year and a half, we discussed vladimirovich together with business with the ministry of health. looking for ways. there really were many outcomes, the final decisions were already made in the government apparatus. here dmitry nikolayevich chernyshenko and tatyana alekseevna thank you very much, as a result we found a solution and we have 15 companies. now they will actively begin to apply here. this experiment is in the style of medicine, including the practice of remotely remote examinations, but this is also a large field. to use artificial intelligence. also, in accordance with your instructions, we have prepared a draft law that will allow, within the framework of the eps, to take into account issues related to liability for causing

harm as a result of the use of artificial intelligence, as well as regulate the protection of rights to the results of intellectual activity that are created using such technologies. in addition, we will make it easier for businesses to launch new experimental legal regimes. the draft law passed all agreement. now in government. it is in line with the administration that it was sent just yesterday, so we also expect these documents to be adopted in the coming autumn. vladimirovich also would like to dwell on the implementation of a number of your instructions that have such a system that forms the development of industries. well , firstly, developers of artificial intelligence must get access to impersonal data; all artificial intelligence is based on the processing of large arrays, and data is a condition for the development of the entire industry. this is key the question on which speed ​​up the work and max, someone says shadayev will now also tell how, yes, it means that here our proposals

are our movements . ministry of finance and starting next year, we will test this approach in agriculture, transport, industry and healthcare. that is, in those industries where we have really gained a lot of practice. there is a solution a large range of solutions, ie companies. if they receive a subsidy from the budget above a certain amount. they will have to implement one or another solution using artificial intelligence. we thus, so to speak, encourage the demand for all these developments. thirdly, we ensure the integration of the tools of the national labor productivity project into artificial intelligence development programs. we are in the pilot. the federal competence center analyzed 80 solutions and selected 10 for implementation at enterprises participating in the national project. an example in the krasnoyarsk territory, where a plywood manufacturer was asked to use computer vision to reduce the risk of incorrect sorting of veneer , the quality of plywood,

which is according to the results of the pilot, directly depends on this. well, we have several such examples, but already now we see that not all manufacturing companies have their own competencies to refine and implement these solutions. therefore , this practice when we help companies, including financially some are not always ready to be improved. sometimes even a little damp solutions from developers. here it is, it is very correct. due to this, we will get the effect of a large one, replication and implementation. and at the same time, the federal competence center is also ready to act as such a customer and aggregator of functional requirements and help implement artificial intelligence. we thereby essentially have two of our national projects. so this among ourselves, we get additional effects, the fourth point, artificial intelligence should to be more actively introduced into the educational programs of universities. we have developed a mine of urscience, a special educational module, a special program. she, uh, its implementation of this module is advisory in nature, but we have monitored it, of course

, we would like this processor to be more active due to greater involvement in universities , so we propose to make the implementation of the module mandatory for such educational programs, especially where we have it departments, we are also creating a lot of them now. and secondly, if necessary, modify how once the educational programs are already in functional areas, about which i said the fifth moment on the base. universities will also open new research centers and in addition to the existing six by the end of the year, we propose to select at least six more for support by the end of the year, because these centers our grants are of an urgent nature, and they run out in twenty-fourth year, but it is essential that the work of researchers in this area. well, the way it was seamless, yes, that is, to we all knew what they were going to do. what is the theme for the next four years? therefore, we ask, uh, in this regard , to support a certain application and for money, uh, in the twenty-third year. we need 100 million rubles. and for the 24th and 26th year, another 1.3 billion

rubles each. we ask every year. this question was raised on the hey journe. here, well, here we are, we have processed all applications, we ask for support, summing up the results of almost four years of implementing the strategy for the development of artificial intelligence. now we can say that artificial intelligence has ceased to be well, some kind of idea, but has become a fully functional technology that has proven its effectiveness in so many industries. it really helps to reduce costs in the economy, really increases labor productivity and, accordingly , the incomes of those involved in production and improves the quality of products and services. now we see the main task - this is the active replication of this technology from the industry and distribution throughout the economy. especially given the current one. well, let's just say that the tense situation on the labor market, the economy needs working hands art. or someone that allows, well, to partially reduce this need, and in general it should be noted that russia is now , of course, moving in the global trends in the development of artificial intelligence, but at

the same time, vladimir vladimirovich, there are, of course, a number of new opportunities that have recently emerged and new challenges other countries. now they are actively increasing funding for research in the field of artificial intelligence. and growth literally. it goes there many times. yes, this is not a percentage, not tens of percent, but two in three times many, uh, countries are increasing their annual funding for these issues launching a program to support the creation of new supercomputers are actively developing large artificial intelligence models, such as well, in general, the gpt chat sounded widely, so to speak. in this regard, what tasks need to be additionally addressed. let's say the next stage and what challenges arise, but the first thing is we need to create conditions for creating our own computing power, and for the future, multiple times greater, than what we have and how we have been moving, including in the form of large computing clusters in the future , of course, with the use of domestic components,

the help of the ministry of industry and trade is very important here, the second point is to support scientists and young companies with grants for access to this computing power so that they can actively develop and train complex neural networks using more parameters, as well as improve their architecture, because, well, in part we can correctly architecture compensate, well, a certain lack of computing power, the third point. we have a large state program. scientific and technological development of more than a trillion rubles a man finance our scientific research. we would offer here additionally together. from the academy of sciences to conduct monitoring, and as far as we use artificial intelligence technologies in our scientific research, it seems to us that there is also great potential and increased efficiency. e scientific research of the same climate here agenda. we are busy. there are a lot of calculations, a report, and so on. here we can show greater demand for our own developments in the field of artificial intelligence. there is a fourth moment in the perimeter of our science. it

is very important, it has already grown up to this , it is necessary to delimit the responsibility for the development and for the subsequent application of the use of large complex artificial intelligence systems of large complex neural networks. it is imperative that the developer. well, he understood the perimeter of his responsibility, so that he would not conditionally respond to all products, which are artificial intelligence. can issue generate. there are some images , texts, and so on, because, well, otherwise, we start to have some limitations in the field of models, so to speak. internal censors are watching and so on and so forth. this sharpness reduces the effectiveness of testing implementations and the neural networks themselves. and vladimirovich , we propose to integrate all these tasks into the national strategy for the development of artificial intelligence. you instructed us to update it to them. this work is now being completed thanks to your decision to extend fetproekt, artificial intelligence, the inclusion of its emerging national project

data economy. we can now lay down all the activities that are necessary and provide their financing. and accordingly, it will not just be a strategy. we will integrate budget processes, respectively. and we will back up with resources to consider the final configuration of the options for the national project e, we are planning, and at the sharpness of the session under the leadership of the prime minister. it is scheduled for september and we will report on the results when you already have the final configuration and a set of activities. how to move on. please support well. thanks maksut igorevich. good afternoon, dear vladimirovich dear colleagues, ah, our main efforts are now aimed at creating a regular basis that will make it possible to ensure the availability of big data for artificial intelligence developers. this is such a very sensitive and complex topic at the state duma, now we have completed the finalization of the amendments that the government submitted for the second reading. uh, together with

admin profiles. uh administration offices profile committee of the state duma and our main regulator in the field of security. uh, in accordance with your instructions, we have previously focused on ensuring the protection of the rights and interests of citizens in the processing of big data and the use of artificial intelligence. as you know often. this greatly develops serious fears in our citizens. so big data is artificial intelligence. this means that now we are not commercially regulated, but are carried out a little chaotically, because these understandable and there are no transparent rules within the clarification. after the amendments to the second reading, we just agreed on the procedures for depersonalizing data, determined the procedure for how the data sets needed for just this machine learning will be formed, but also agreed on those rules, and on which external developers will have access to this data in order to start train your networks. and at the same time, the prepared amendments provide for such a direct and unambiguous ban on the processing

of big data, if this creates risks , then causing harm security defense citizens, while access by external developers to big data, and will be possible only if it is confirmed that they do not contain information that would allow the citizen to be identified. that is, we exclude any personification , we process big data, while external access. by uh, big data will also be banned for foreign nationals and foreign-dominated companies. this is also very important. at the same time, our security regulator will receive new powers to control this area. currently at us amendments to the second reading, agreed doctrine agreed. we removed the last differences. in general, a construction has emerged that proceeds from the unconditional protection of the interests of the rights and e of citizens. eh, and at the same time , it still provides, uh, developer access

to big data, we hope that at the beginning of the autumn session. it will be accepted. e for the organization of work with big data. we are already setting up a state information system on our gostech platform , impersonal ones can be loaded into it. uh, the date of the set, means both from the authorities and from business, which means that developers will already have access to these data sets, and authorized neural networks in order to meet the necessary requirements. so, these are the language, on the contrary, data, of course, they cannot be downloaded or unloaded. uh, means take away from this information system. actually, it will be possible to test them. uh, set up algorithms to train neural networks. well, no matter how it creates, just a threat to this data, we , together with the ministry of economic development, have identified five main implementation priorities, which means artificial intelligence in the public administration system. i will talk about them very briefly, but the first is, of course, that artificial intelligence should make it easier to get public services. you know, with us, for a person

, it’s still difficult sometimes to figure out all the bureaucratic nuances of obtaining torino services. this means that we have such complex sometimes processes, which means volumes of administrative regulations that are written in such a complex official language, which means that the language and often the citizen, of course, is lost in this, despite the fact that the entire information. there is, of course, it is difficult for him to figure out the ideal option on his own. how artificial intelligence will be provided makes it possible in such an ideology, asking a person simple questions to get specific answers, which he can count on. to his particular case, what actions should he take in order to receive this or that service, what documents to submit? and, of course, we will simplify significantly. uh, getting those services. we have already launched a robot on the public services portal that answers the questions of our users, automatically, in fact, this is the same artificial intelligence. that's a day and a half million questions from our

users. it processes 85% of the responses in the machine. hence, the quality of these answers means users believe. eh, good. in general, this robot is actually. here. e, eight, out of ten cases automatically gives hints to a person what he needs to do in order to receive this or that service ideally, when it is done by voice at all, when you can indicate a question with your voice and the robot will answer you what you need do or write to the doctor? but we have such a pilot going together from yandex to sberbank with their voice assistants such special stations and, in general, when it will also be possible to receive public services by voice. for us, this goal is the second big direction - this is such a big recommender system that will help the regions plan their territorial development. determine to determine the places where it is better to build a kindergarten school in a polyclinic, taking into account the population density there. uh, what a transport accessibility and social infrastructure that have nearby. the same system will

offer options, which means how to optimize e traffic means transport. how to build the best public transport routes. what should be the schedule, taking into account the actual load and traffic that is, and, accordingly, transport communications, the third direction is very important. i know that you have been shown this many times before. so this is the use of artificial intelligence in medicine this year. we are launching a big our pilot has already formed large arrays of electronic medical images in the regions, where the markup has already been carried out and the disease has been detected. these are the very ones on which algorithms can be taught to do this automatically, in fact, we will feed them already marked images, where diseases are diagnosed further, and neural networks will be able to help the doctor on new images, i pay attention, where there are potential signs of such diseases, that is the work of doctors. in this case, it will be easier. by no means do we say that the work of doctors will be replaced, but we are just saying that we are taking off

the routine load from them, the fourth area is very important, and maxim gennadievich also said about it, this is the analysis of satellite images. so we have e illegal vyrukiy forests. for us, it means the involvement of land, agricultural turnover, which means efficiency. eh, we have settled in, in general, even uh, an artificial project allows you to identify objects that are built, but not registered, respectively, they are not paid taxes and artificial intelligence will allow everything based on analysis of satellite images are doing and the fifth is the final direction. this is a climate trip. we have accumulated a very large array of weather observation data that has been formed in gromit over many decades. here we will make a big date set that will allow us to test new weather forecasting technologies that will be much larger. eh, faster. more precisely , better quality we now probably do not have a single department of the region, where is on the agenda. they would stand questions about the introduction of artificial intelligence. well, it is definitely connected with digitalization. and here we have a suggestion. what are the same questions we should answer. these

are the deputy heads that we often meet in digital transformation, then we will have in general the introduction of digital technologies , work with data and, uh, artificial intelligence will be in the same hands. and it will be tied together today. we have e complexities. we have companies, of course, such as sberbank, which are directly locomotives of movement away from artificial intelligence, but we we know that state-owned companies sometimes have a hard time swinging. we remember with you how it was during the transition programs to domestic programs and products. here, of course, we have companies that are a little slipping. we have a well debugged. the organism that we actually launched just to control the transition to russian it solutions is this digital transformation strategy. we now propose to include projects on artificial intelligence in these strategies for digital transformation. they are very good with us. are administered, there are strict monitoring indicators. and we even have directives there. e, means forfeiting the bonus if the goal is not

achieved, so we think that this will give the necessary acceleration. well, the last comment before. you supported amendments to the tax code. on january 1 this year, we have very good, stimulating measures for the company to implement a russian solution with artificial intelligence. this means that they can write off these expenses that they spend on the implementation of russian solutions by a factor of one and a half, that is actually reducing the income tax a little. we now have, uh, already 17 russian decisions registered 28 decisions. we are currently reviewing applications. well, i hope that they will be there in uh, many times more and more with us. the company just starts the business actively, and to use these measures, implement these solutions and receive appropriate benefits. well, i'm taking the opportunity. i also want to remind our developers that there is such an option and we are waiting for applications for inclusion in the register of a russian solution in the field of artificial intelligence. so the president appeared meeting with imagine.