Skip to main content

tv   RIK Rossiya 24  RUSSIA24  February 26, 2023 2:00pm-2:31pm MSK

2:00 pm
okay, without registration, we look, we look in the application or on the site. vladimir putin held telephone conversations with recep taip erdogan, the head of state touched upon topical issues on the bilateral agenda. in addition, the russian president congratulated his turkish colleague on his birthday. today he is 69 years old. vladimir putin noted erdogan's great contribution to the development of relations between the two countries in a text published on the official website of the president of russia called the turkish leader a dear friend of the world according to putin never
2:01 pm
the republic overcomes the tragic consequences of the earthquake , erdogan's best qualities as a statesman and person are fully manifested. the west wants to divide russia into small parts and strive to remake the world for itself, our country is forced to react , in the end, the struggle for multipolarity and respect for everyone in the international arena will prevail , the head of the russian state said in an interview with pavel zarubin for the moscow kremlin program putin one goal to decimate the former soviet union and its the main part of the russian federation and then, maybe, they will accept us, uh, into the so -called family of civilized peoples, but only separately. you see, each part separately for what in order to push these parts around and take control if we go this way? i think that the fate of many peoples in russia, and above all, of course, the russian people, can change dramatically. well, just
2:02 pm
drastically. i don’t even know whether such an ethnic group as the russian people will be able to survive in the form in which it exists today, well, they will muscovites, some urals there, and so on. well, it's all in the plans were these plans. they are on paper. it's just that we are in the conditions of building relationships. uh, we try to talk about it out of uh, no matter how partner considerations do not talk about it. well, that's it, it's all written on a piece of paper, everything is written. but now, when their attempts to remake the world after the collapse of the soviet union exclusively under their doors, that's up to such a situation. well, of course it is to react. watch the full interview with the president in the moscow program kremlin putin today at 22:00 moscow time and tomorrow on our channel after eleven o'clock. well, now the latest data. the armed forces of the russian federation continue to conduct a special operation in
2:03 pm
the kupyat direction, artillery fire from the western group of forces hit enemy units in the areas of settlements, novoselovskaya, lugansk people's republic masyutovka. and kislovka, kharkiv region region, six sabotage reconnaissance groups of the armed forces of ukraine were destroyed; the total losses of the enemy per day in this direction amounted to 60 ukrainian servicemen; defeat by an enemy unit in the areas of japanese settlements. donetsk people's republic nevskaya chervonopovka. red diva of the republic
2:04 pm
in addition, up to 130 ukrainian servicemen, three armored combat vehicles, two vehicles , a self-propelled artillery mount acacia and a d-20 howitzer, were destroyed in this direction in a day in this direction as a result of the active actions of units of the southern group of forces. over 100 ukrainian servicemen were destroyed by air strikes by artillery fire and heavy flamethrower systems in a day d-30 also in the area of ​​​​the settlement, the spill of the donetsk people's republic was destroyed. the ammunition depot of the 68th chasseur brigade of the armed forces of ukraine in the area of ​​​​the settlement is now destroyed from the yar of the donetsk people's republic, the radiation station of the counter-battery warfare, usa moe in the donetsk and zaporizhzhia direction of operational-tactical aviation and artillery of the group of troops. vostok inflicted a complex fire defeat of a unit
2:05 pm
of the armed forces of ukraine in areas populated points, nikolskoye and ugoldar of the donetsk people of the republic, the losses of the enemy amounted to more than 75 military personnel, one tank. an infantry fighting vehicle, an armored fighting vehicle and two pickup trucks near chervona, zaporozhye region. destroyed. the ammunition depot of the 102nd territorial defense brigade in the kherson direction as a result of fire damage per day destroyed up to 70 ukrainian military personnel , six vehicles and three d-30 howitzers of operational-tactical and army aviation by missile forces and artillery groups troops, the armed forces of the russian federation were defeated by an artillery unit at hyper positions to manpower and equipment in 167 districts in a day. in the area of ​​the settlement of avdiivka of the donetsk people's republic, the communication center of the 110th motorized infantry brigade of the armed forces of ukraine was destroyed; also, in the area of ​​the settlement
2:06 pm
of starorayskaya of the donetsk people's republic , the repair and restoration base for armaments and military equipment of the armed forces of ukraine was destroyed by means of air defense in the area of ​​the settlement. golubovka kharkiv region shot down a mi-8 helicopter of the air force of ukraine in addition, during the day, all ukrainian unmanned aerial vehicles were destroyed in the areas of settlements of katerynivka, kherson region , chervona popovka on the water pshenichnaya lugansk people's republic, in total , 390 aircraft, 211 helicopters, 3.243 unmanned aerial vehicles were destroyed during the first special operation vehicles 405 zenit missile systems 8.000 42 tanks other combat vehicles. 1.045 combat vehicles of the reactive system hall for fire 4.000.22 field guns artillery mortars, as well as 8,000,556 units of special military vehicles development of the total economic effect
2:07 pm
from the use of artificial intelligence technology in russia amounted to more than 300 million rubles. the main task for the coming years is the mass introduction of such developments in all sectors of the economy, and advanced projects of russian it specialists immediately after advertising. see anna afanasyeva's report : neural network to catch the future.
2:08 pm
forever with a gazprombank credit card everything is transparent free service 180 days grace period without additional conditions and cashback of 1,000 rubles. for the first purchase. my victories, how you prepare for the race, keep yourself and your car in top shape, the smart formula of gnergy engine oil contains directional additives that
2:09 pm
reliably protect your car. keep your engine in shape. find out the available loan amount without opening an account and documents and get a loan at a 3% reduction in the rate of entrepreneurs. when you can please your loved ones even from afar and get support at the right time, it’s better to move on. i i can responsibly declare that the future has already come big intellectual models. today, they reach the level of solving many
2:10 pm
problems, and some problems exceed the human level, so we see right now before our eyes this revolution is happening. this is an endless picture that can be generated. how much medicine can see, even pathology invisible to the eye at the earliest stages of the remote earth data industry, we call them it allows you to automate the process of recognizing objects in these images. the weavers who destroyed the machines and at the same time, therefore, put spokes in the wheels, do not even need thousands of specialists, tens and hundreds of thousands
2:11 pm
of specialists, because the issue is technological sovereignty, here 300 to 500 billion rubles. the economic effect of the use of artificial intelligence. can we say that a by the twenty-fifth year? gdp growth will be supplemented by plus one percent due to artificial intelligence, how artificial intelligence will change our lives in the near future. and what about those who are afraid of not being able to cope with the task of generating their future in the world of super smart models and algorithms. with artificial intelligence developed by open ai, they are able to work in an interactive mode, supporting queries in natural languages , and distributed a dozen interviews of such popularity in 3 days.
2:12 pm
he definitely didn’t prepare. alexander just wanted to write a diploma, he reached the last and decided to go to the bank to experiment with a neural network , try something new and the time that i would have spent searching for literature and sources for writing a diploma. i just decided reduce as much as possible and do it with gt tea the development of this neural network was carried out by the ilona mask team with its help english journalist freelancer wrote an article for degarden moscow schoolchildren essay on eugene onegin so the first neurodiploma in russia is ready appeared after when i saw that the percentage of originality is a -a work ah, neural network, and my editing 82 %, that's when i realized it works, all the work that turned out is this, and the result of my
2:13 pm
research, and the main convenience is that i get very precise and accessible the information that i would have to look for, and he himself says that the decision to use the recently released neural network was very logical for him. firstly, he is always curious about everything related to new technologies. secondly, they like to streamline the processes for many writing a diploma - this is a huge stress. and for me it was rather stressful. it’s funny and naive to believe that the neural network will completely write a diploma for you ; it will cope with the task through standard copy pastes ; whether the boundary of the ethics of a person who use uh, literary sources for writing work, and whether they use uh video. i think it 's similar, that i need a source
2:14 pm
that i can a-a rely on and use for my earlier work and a after my editing and my research. i understand how to use this information. ah, which one shouldn't be used? so yes. hmm. i think that's good. the neural networks and alexander's own editing took a day, having received a satisfactory defense. he wrote about it. in social networks. i shared my experience and expected to get the attention that ah other people would share how they turned in their diplomas. and it all turned out that and this is becoming a precedent that affects the ministry of education in the discussions that unfolded both within the walls of the russian state humanitarian university and the ministry of education, they propose to ban the use of the neural network for both students
2:15 pm
and schoolchildren, and also create a service for control by analogy with anti-plagiarism. this is a precedent and a university e. interested in so that in the future, uh, there will be some mechanism that ah-ah determines whether neural seeding is used in scientific work or not? to what extent, that is, the question here is how it will, uh, be revealed. and for example, open ai, and the creators of the gpt chat have a service that helps determine the use of neuroscience in any text, but even she, and not so much. it may well answer that the text was written by me or the person who wrote the sentence. the ban on the use of the neural network alexander considers absurd. i think it's a rejection of progress in that case, how can
2:16 pm
imagine 25 years ago, but accepted the internet as a source, and use it and it became a precedent, what can you just open an article immediately get the right one? and all kinds of use and as a result , anti-plagiarism appeared, which determines the originality of the work. i'm sure that in addition to anti-plagiarism, perhaps, a service will appear that determines how many percent of it is written here, er, the person himself. and how much university alexander is a brand manager, while he was handing out numerous interviews about his neurodiplo. my tasks have risen to optimize their performance. he will also use the neural network. i would like that the routine processes that are now performed by people or spend a lot of time. they were significantly optimized and accelerated, and thanks to this, people can
2:17 pm
master new environments of activity or pay attention to problems that have to be corrected and improved to make the world a better place . roman dushkin also met with indignation the news about the initiative to ban the use of the neural network. approximately the same as when i was a child at school forbade a-a to use a calculator. in math classes, like, i won’t break, where are my teachers, and where am i now, if we forbid our children to use new tools that have already changed the world today, then we are depriving children of the future with our own hands, that is, we are depriving them of a competitive advantage in front of other societies in which it will be comprehended and adapted roman considers it important to teach how to use new technologies in a meaningful way and three skills will become key. first goal
2:18 pm
positing the second is the fact of checking, and the third is the final crush. that is, this is what i call the three pillars of new technologies. and what each person should be able to do, that is , the architect of the future of what future present he will have to be already, but to be such a high-level, task manager and controller, and the result of this task. that is, each person will become such a leader who will have really staggering employees in the form of artificial intelligent agents. principles of the nervous system of living organisms and the main purpose of solving intellectual problems. 2 years ago, the guys from the team of this krasnodar startup presented their new product, a neural network that can determine the mood in the comments of social network users, for example, for a month. there came 20.000 comments from various
2:19 pm
users. ah, the question arises of the means - is it a comment that is bad, they are negative or, on the contrary, positive. here our neural network helps. understand this, she is called olga stanislavovna language the model that the developers have taught. it can determine not only the positive or negative tone of comments, but also distinguishes sarcasm and irony, we took a real comment from our users who are sent a in vkontakte and they were evaluated. well, such a slow, long routine, manual work. check out this comment , negative, positive, neutral , some amount, we fed it, it was connected to her. developers added. the recognition of slang now olga stanislavovna speaks not only
2:20 pm
literary russian, but also owns phraseological units popular on our internet, that is, she is able to correctly classify comments. in the spirit - this is a damn bespontovy post analysis , let's say, initially manually, that is, they were loaded into e, the datasets for the neural network are precisely slang, that is, selections were made, namely, the sent words and marked up initially. well, with the help of people, let's say our team. uh, probably the most popular slang words. this is lol cake. here's a kind, that is, there, let's say. you can say respect is also quite a popular word. like any neural network, olga stanislavovna learns and becomes even smarter in the process of processing more and more new user requests, there are certain expectations. and you know how she should generally
2:21 pm
react to this or that comment. well, she does it differently. that's when the wow effect from stanislavovna occurs in honor of the first teacher of the company's director igor krusyuk . there is no direct connection for the neural network to teach someone more here. and what is the teacher of us taught to write and read the same way and do not calculate to work with texts and help our users in tonality assessment. this is the first class of the teacher i was, these are my students, among them igor kasyuk. here he is sitting igor was always successful in mathematics lessons, and then
2:22 pm
, by the way, his parents bought him a computer, one of the first, then it was a very expensive thing, and whoever had it was thought that it was cool that they bought him a computer. well, now i find out that igor has become a successful businessman. what is involved? in the field of it it specialist yes, now it is they say, hello, for more than 20 years already, probably, now i want to tell you about mine, about my paradox, and in particular about the neural network that was named after you olga stanislavovna, maybe until the end and did not understand in detail who uses this it - a product for which she became the prototype, but the fact that it was named after her was very touched before meeting you. i read everything on the internet. right now i was sitting listening to you, more or less you still understand, and so for me computer science.
2:23 pm
and this is a very complex subject, and i’m straight, well, i do n’t know, i’ll tell you in slang respect to you that you told me about it like that and now it’s a joke. they call me robot rhombuses, only steel. well, i say, now what? i have my twin on the internet, which will always be there. well, great. especially in honor of a teacher. it's very enjoyable. i'm touched. even when i first found out, i even remembered to be honest. well , because, well, so it's all sentimental and touching. for me, meanwhile neuro olga and stanislavovna were very interested in philologists of knowledge. neural networks for them, as the most complete database with its help, they will be able to engage in scientific research and analysis of the processes that occur in the modern russian language. learning
2:24 pm
to make decisions and perform actions is inherent in the human intellect. we will be cured. neural networks is a statement. even 5-7 years ago it sounded more than fantastic. today, medicine is the area where artificial intelligence technologies and speech are most actively and effectively applied. it's not about replacing a doctor with a robot. artificial intelligence is a technology tool that already today helps doctors in their daily practice, and helps to achieve better results . the doctor's expertise and experience, combined with the capabilities of artificial intelligence, give the maximum effect and improve diagnostics thanks to technology. we can give equal opportunities to patients, and from different regions in the end. e, we are committed to the fact that all visual medical data will be processed by algorithms at the beginning artificial intelligence, and after being verified by a doctor and endorsed by a doctor
2:25 pm
in the sberbank artificial intelligence laboratory , they developed a service that uses computer vision technology. the model determines the sites of lung tissue damage, assesses the degree of deviation from the norm and helps to recognize signs, for example, of viral pneumonia. first, the images are pre-processed by algorithms ; the algorithm automatically marks areas suspicious for pathology and gives a quantitative assessment. e of these areas and issues a preliminary opinion. after that, the doctor rechecks the data and finalizes the conclusion during the covid-19 pandemic. eh, this approach allowed to reduce. uh, temporarily processing cats pictures. e, allowed to reduce the burden on radiologists to increase accuracy. uh, the image decoding service was trained in one of the largest selections for such models based on artificial intelligence. data collection preparation. uh markup, yes to convey uh semantics. uh, that makes sense,
2:26 pm
yes pathology machine it takes order from yes, months to six months e further. uh, hmm , four months, six months, the algorithm is being developed. uh, testing it and a month. two are already directly integrated into the user interface so that the algorithm can be used directly by the medical specialist. a doctor who clearly performs routine work for him, analyzes the data in the images, the algorithm is able to see, and even a pathology that is invisible to the eye at the earliest stages, and he sees the smallest details and is able to immediately suggest , to focus the doctor’s attention on this area and, in any case, the subsequent conclusion is final anyway for the doctor, but the doctor can immediately see the proposed zones in the picture and analyze them
2:27 pm
more detailed and carefully in the process of working on the service, the algorithm was trained to recognize another serious pathology , this algorithm could already to see, and on the images proposed with images, signs of nodular neoplasms, as, for example, in karachay-cherkessia in 2021 , a retrospective analysis of one and a half thousand images was carried out ; algorithms identified 12 images of suspicious after verification by doctors, eight patients were sent to oncological processes for one follow-up to the regional oncology center, usually lung cancer is detected at the third or fourth stage, when the likelihood of metastases is already high and the prognosis of patients is much worse oncological diseases detection another project of the team is related to the diagnosis of stroke, by analogy with the lung hotel, the algorithm detects the focus and calculates the volume of the affected structures. he also possesses
2:28 pm
ability to detect microchanges. in the brain, artificial intelligence technology helps the doctor in emergency situations, when you need to make a quick decision, and also helps to avoid a situation when there is a large flow of research. we may miss some minor pathology. alexander vidyakhin, first deputy chairman of the board of sberbank, tells why projects in the field of medicine, while not being profiles for a corporation, are nevertheless a priority in implementation, of course one. of the main tasks of any person is to maintain their health, improve their health, fight against some diseases that exist, and there is an excellent project that we are doing together with a partnership with moscow e, sergey semyonovich anastasia rakova helps us a lot top three diagnoses when a doctor receives a hint from artificial intelligence. what
2:29 pm
are the most likely diagnoses for a patient who came to see him for pizza fills out the patient's outpatient card fills out complaints, she has a chronic disease for me and according to the results examinations during e, the formation of a conclusion , he sees a hint, and in the form of the three most probable diagnoses in this case, the data is also indicated by arrows or some deviations. more than 7.5 million diagnoses have already been made using this system and it is used by more than 3,500 doctors in moscow and its accuracy is 70%. that is, this is such a good assistant to the doctor, who tells him what to look for, most likely, with what the patient came to him with the main trend of the future of such developments in the field
2:30 pm
medicine is the creation of the so-called digital twins of the patient, virtual models of the human body will help to predict predisposition, including to oncological diseases, based on genetic data, to choose the most successful treatment protocols. potential for business find out the available loan amount without opening an account and documents and get a loan at a reality reduced by 3% of bettors.

14 Views

info Stream Only

Uploaded by TV Archive on