today is denis dimitrov, a. the person who created the kandinsky neural network, elena kiper and roman karmanovll with you, and what successes kandinsky is recognized for, this is what he does better than his analogues, let’s say, analogues are wrong according to his word, well, it looks like neural networks that solve the same problem, generating images from text, for example, what we’re cooler in, although kandinsky’s videos are generated, now uh-huh, now, well, that is , already, as it were, we’ve just recently introduced. and you can imagine how many terabytes of data storage is needed there, well , there is a supercomputer, it’s like it’s all learned on a supercomputer and stored nearby in special storage facilities, they are called c3, but these are these big, big data storages that are really for, say, in order for the model to be able to see the dataset, they need to be put there, and not just put, they need to be removed. all low-quality pairs, that is, filter out all low-quality pairs, well, if you go to the internet, then in general half of the data there will probably not be of very

elena kiper and roman karmanov.his, what he does better than his analogues, let’s say so. well, it looks like neural networks that solve the same problem, generating images from text, for example, where we are cooler, although kandinsky videos are now generated, uh-huh, now, well, that is , it’s already, as it were, we recently presented a model, which generates the video, they called it kandinsky video, although it’s probably not... but these are these big, big data warehouses that really , say, for the dataset model to be able to see, they need to be put there, and not just put it, you need to remove all low-quality pairs, that is, filter, remove everything, well, if you go to the internet, then in general half of the data there will probably not be of very good quality, there is a lot of rubbish there , but that’s exactly the picture does not correspond to the description that is written there below. this also needs to be dealt with, that is, there are a huge number of filters that need to be written before givin

and with you. still elena kiper and roman karmanov, and what successes are recognized for kandinsky islooks like it means on neural networks that solve the same problem, generating images from text, for example, what we are cooler in, although kandinsky videos are generated now, yeah, now, well, that is, it’s already, as it were, we’ve just recently presented a model that generates video, called kandinsky video. although we probably should have called it something torkovsky, well, they called kandinsky video, we will continue this line, but what does it better, knows the domestic cultural code better, of course, this is what we actually set before the model, which task, and we will certainly develop this further, what is the problem with russian data , knowledge of the russian domain, is that russian data, of course there is less of it, what the model learns from, learns from data from the internet, that is, from open pairs of image descriptions , it seems to capture the data at the time of the request, no, naturally, there is a team that deals with the data, and that is, the data is a

and elena kiper and roman karmanov are still with you.ed for kandinsky?

today are the man who created the kandinsky neural network, denis dimitrov and elena kiper and roman karmanovted a masterpiece, then when i’ve created his masterpiece, it’s just a picture. impossible, yes, but how it was created, this is how kandinsky creates - pictures, i can also tell you on my fingers, imagine how a person creates a picture, any, any image, any painting, he has some kind of white canvas, well not necessarily white, just white paper, some kind of blank, napkin, napkin, yes, there is a tablet screen, he definitely has some kind of idea, he starts sketching out some details, with a pen, uh, stylus, whatever . adds details, maybe removes something, well, a person also has patterns in his head, that is, he has memorized something, he has, now he has patterns, this is after training, so step by step he simply creates a picture how kandinsky creates a model, in principle an analogy can be drawn, he begins to draw a picture from the so-called white noise, what is it, well, this is when there is no signal on the tv, there is such interference, just some kind of matrix, naturally th

elena kiper and roman karmanov. and what successes are recognized by zakandinsky already?than, let's say, analogues that are wrong according to his word? well, it looks like neural networks that solve the same problem, generating images from text, for example, where we are cooler, although kandinsky videos are generated now, yeah, now, well, that is, it’s like, we’ve recently presented the model , which generates the video, was called kandinsky video, although, probably, necessary. from the internet, that is, on open image description pairs, does it seem to capture data at the time of the request? no, naturally, there is a team that deals with data, and that is, the data is already contained in it, it is not searching on the internet at this moment, no, no, no, in no case, it is creating it, this is kind of unique, where are they stored ? this volumetric quantity is a huge amount of data, kandinsky the third studied on one and a half billion pairs picture text, and you can imagine how much data there is storage is needed, well, there is a supercomputer, it’s all learned on

still analog, analog versions of the presenters, elena kiper, producer and video director, and roman karmanovctor of the presidential fund for cultural initiatives. it was a creative industry podcast on channel one. see you. this is a podcast of witnesses from einstein and its leading film historians natalya ryabshchikova and stanislav didinsky, we talk about how to watch your favorite, half-forgotten, unknown soviet cinema now, how to find new meanings in it and how to get even more pleasure, no matter how old you are... "you probably know the incredible tatyana, we know peltser only in age roles, how did it happen that a great actress became great already in the second half of her life, well, actually, not just age roles, in supporting and third roles, that is, in general, a great actress who never played, almost never played leading roles, how did it happen, for this we will have to devote quite a lot of time to the first half of her life, we will try to do this quickly, of course, she was born at the very beginning of the 20th century and, in fact, could start acting in cinema even before

roman karmanov, general director of the presidential fund for cultural initiatives, is our guest, dimitrovctor for data research of the largest bank, i’m very glad to be here, hello , thank you for coming, we didn’t just start out like that, in such an ornate way, because artificial intelligence is really a topic that everyone hears about, but very few people understand what it is, that’s why everyone is afraid already, they are afraid. in general, something, but what did they know, what it is, we know what it really is, we know a little, we use, remotely, what artificial intelligence is, let’s first at least figure out what this thing is , actually artificial intelligence, there is absolutely no need to be afraid of it, since we started with this, it is a tool that helps us do different things, that is , it automates some part of our intellectual work, mostly the routine part, artificial intelligence - this actually usually means some kind of neural network, what is a neural network? a neural network is something you know, you can imagine it as a black box that takes something as an input

elena kiper, producer and video director, but i haven’t touched it yet, i need to make sure, roman karmanov, i’m very glad to be here, hello, we didn’t just start out like that, because artificial intelligence is really a topic that everyone hears about, but very few people understands what it is, everyone is already afraid, they are afraid, well, in general, of something, but what did they know, what is it like for me too, we know what it is, right now. remotely, what is artificial intelligence? let 's first at least figure out what kind of thing this is, in fact, artificial intelligence, there is absolutely no need to be afraid of it, since we started with this, it is a tool that helps us do different things, that is, it automates some part of our intellectual work, mostly the routine part, artificial intelligence - this actually usually means some kind of a neural network, what is a neural network, a neural network - you know, you can imagine it... a black box that takes something as an input and gives something as an output, that’s exactly how we imagine it, as black, what’s inside the

guest today is denis dimitrov, the man who created the kandinsky neural network, elena kiper and roman karmanovy, analogues analogues is probably the wrong word, well, it looks like neural networks that solve the same problem. well, that is, it’s as if we recently introduced a model that generates video, we called it kandinsky video, although it probably should have been called something like torkovsky, well, we called it kandinsky video, we will continue this line, but what does it better, the domestic one knows better the cultural code, of course, is what we actually set before the model. what task, and we will certainly develop this further, what is the problem with russian data , knowledge of the russian domain is that data russians, of course there are fewer of them. what does the model learn from, it learns from data from the internet, that is, from open description image pairs, it seems to capture the data at the time of the request, naturally there is a team that deals with the data, and that is, the data is already contained in it, it does not search in this moment on the internet, no,

elena kiper, producer and music video maker, and i won’t touch it yet, you need to make sure, roman karmanov for coming, we didn’t just start out like that, because artificial intelligence is really a topic that everyone hears about, but very few people understand what it is, so everyone is already afraid, afraid, well, in general something, but which he doesn’t really understand. what is it, we know what it is, we know a little, we use it, remotely, what artificial intelligence is, let’s first at least figure out what kind of thing this is , in fact, artificial intelligence, there is absolutely no need to be afraid of it, since we with they started this, this is a tool that helps us do different things, that is , it automates some part of our intellectual work, mostly the routine part, artificial intelligence - this actually usually means some kind of... neural network, what is a neural network? a neural network is something, you know, you can imagine it as a black box that takes something as an input and gives something as an output, that’s exactly how we imagine it, like a black box, what

your head, analog versions of the presenters, elena kiper, producer music video director and roman karmanovst on channel one. see you. this is the easy money podcast, i am its host , mikhail khanov, and today we are dealing with new classes of digital assets, with a new instrument, such as the financial ruble, with new investment, individual accounts for citizens of the russian federation, and the chairman of the committee on financial. market of the state duma, anatoly gennadivich oksakov. hello, anatoly gennaevich. hello. well, right off the bat, let's talk about what a digital ruble is? yes, what everyone cares about now is what everyone hears, no one knows what it is, let's try to figure out what it is? there is a ruble that we carry in our pockets in cash, we pay with it in cash in stores, in other retail outlets, in pharmacies. there is a ruble that circulates. banking system, that is, moves from one bank account to another, for example, if you came to a pharmacy, a store, paid for a service or product with a card, then accordingly the ruble is transferred from your bank account to th

creative industry podcast with you, as always, elena kiper, producer, music video director, and roman karmanovame, director konstantin bogomolov, artistic director of the namaloy bron theater. hello, hello, i think that whoever turned on the broadcast just now, they are experiencing a storm of emotions, i think they are experiencing mantises or mantises, or god. not a praying mantis, well, in general, different emotions, how do you manage to evoke such emotions in people, such a huge flair around your person, i just work a lot, a lot, i work a lot, that’s all, well, i’m not i’m not concerned with evoking any special emotions , i i’m just doing my job, doing it as i see fit, and maybe it’s good that the work i’m doing evokes different, very different and... joyful and sometimes some negative and controversial emotions, in any case in this case, i always say that the best effect of a performance is when a person continues to think, think and think about it after watching it, the performance is cool, cool, not when it immediately at the moment of its implementation causes happiness in the auditor

with you analogue, analogue versions of the presenters, elena kiper, producer, video maker, and roman karmanoval fund for cultural initiatives, it was. creative industry podcast on channel one, see you, well, today our relations with former allies in the second world war, of course, couldn’t be worse, but i must say that at that time they were far from simple. and, of course, the main sticking point is the opening of the second front, they argued about geography and timing, well, in the end, in june 1944, the second front was opened, this famous landing in normandy took place, it turns out that it’s 80 years now, if i’m not mistaken, yes, so let’s remember about this landing, and at the same time let’s remember about the operation. gration, which was carried out by our, our armed forces. the main thing in this conversation, it seems to me, is that, on the one hand, on the western side, it is accepted to overestimate the significance of the landing in normandy and in general the opening of the second front in 1944, almost the main event of the second world war, yes, along with the battle watoll