russian president vladimir putin has accused the white house of fighting an indirect war. saying the u. s. is using ukrainian soldiers instead of its own model . a comment follows a visit by the ukranian president, go to mr. lensky to washington, d. c. which and also dismissed. the patriot missile defense system insisting russia would find an antidote to them. no actual, closer to printed off with us regarding patriot missiles, it's a relatively old system. it doesn't work as well as our s 300. no. nonetheless, those were confronting our side. this is a defense of weapon as well. okay? but they will always be an antidote. so the people who are doing this are doing it in vain. it's just prolonging the conflict. that's all that you're in. your company said i'm hotter, has more from moscow. moscow has said clearly today that all 8 sent to ukraine by the united states patriot systems, or other would be legitimate targets to the russian army. also, the personnel that might be deployed with such systems to train or to operate the systems would be also a target for the russian army. we have heard this clearly by the spokesperson of the kremlin misty post school. and also today there was something very important spoken by the chief of. 5 staff of the russian army general and get us the more he said that the united states is actively in getting involved in this conflict through sending ad supplying more weapons to clean this what moscow has it clearly said it will respond to the more arms being sent by the united states and other european and nate 2 countries to ukraine. there are also another scenario that would be possible, but it's not clear if russia would resort to such an option. that would be launching an attack from the beller bella, russian territory. so best that would facilitate the russian army, reaching the city of sin leave and thus cutting the main road that supplies weapons to ukraine through poland. ukrainian city of mood continues to be the center of fighting with russia focusing its attacks there the, these are some of the nicest pictures coming out of the city. ukrainian forces have held the ground in the territory that russia could use to advance on other cities. you creating president sky has previously accused moscow of turning the city into bent ruin. once in a generation, winter storm is making its way through the us bringing with it the coldest christmas temperatures. in decades. large amounts of snow and life threatening wind chose forecasts. with blizzard warnings in place for the midwest, the arctic blast is also causing trouble chaos during one of the busiest times of the year, checked our phone, the founder of the collapsed crypto currency exchange f t. x just left a court in new york. when fried was released on a $250000000.00 bond, while he awaits trial, he was flown out of the bahamas on wednesday night. after agreeing to be extradited . christian salumi has more from new york. one point, it wasn't even clear that he was going to return to the united states. he looked like he was going to fight extradition from the bahamas, which is where his crypto exchange f t x had been set up and where he was living at the time. but his lawyer said in court documents that he wanted to chance to make his clients hall. he's accused of using $8000000000.00 worth of customer at customer assets to find very questionable real estate purchases and vanity projects, including contributing to political campaigns. tens of thousands of people who have been displaced in malaysia as flood waters inundate. large parts of the country's northeast emergency responders are using boats to rescue people and hundreds of release centers have been set up. the top stores do stay with us air reserve data land is coming up next. more headlines about half an hour and the news out at $21.00 g to you then bye for now. me. ah ah, right now, at this very moment, artificial intelligence is trying to figure out exactly who you are. a, i mimics our thoughts and emotions. it analyzes ourselves to decode our genetic material. no task is beyond its capabilities. a i is even learning to drive our cars for us. ah, a i controls robots that work more efficiently than we do. so where does this leave us in this new world of artificial mines? in the last 10 years, we have developed an inseparable bond with our cellphones. smartphone capabilities are bolstered by artificial intelligence which serves our needs whilst keeping a watchful eye. network operators record our movements to the nearest meter, as some applications, geo tag users, every 60 seconds surveillance cameras, scrutinize our every move unknown entities siphoned our data from public. why fi networks? sensors in the roads, we drive on record our journeys. ah, a i regulates traffic, predicts the weather, and records pollution levels. our frenzied online activity generates an avalanche of data. each minute we make a 3300000 posts on facebook. 3.8000000 searches through google, and send 29000000. what's up messages? these torrents of data are stored in banks of servers all over the world. in the are of big data, your digital footprint is worth more. by the day i flew in paris, 15000 participants and spent thousands of euros to attend to trade show on big data . events like these are big business and you don't want to be the one missing out modern a i systems fed by colossal datasets are opening doors to lucrative opportunities. machine learning revolutionized a i development that is machines capable of teaching themselves without human input . over the last 5 years, this technology has transformed a i research. these algorithms are able to instantly identify objects placed in front of a camera, but this ability to recognize as many potential applications a purse based startup has developed new facial coating technology. ready his algorithm is capable of reading facial expressions which are so nuanced, they may pass unnoticed to the human eye. the end point is commercial reactions are measured against different adverts to see which images are the most effective level. does you know those, which is it? that is the only chill director on his him was to get 20 posts on the shows can zap back to those are johnny nick blackwell, shall look, knows. i go here for 11, shall talk to you. she said that made a stocky to set to her master, took of her salt lake while some at dusk. so gone past, gone entitled you'll get hold on the pink. so he said, in a little more, do come to school, you can call to sit in with you as well. i shall quiz that, bella. i could tell that priestess, did you do me please, sir? web eyes don't run cook on them with shoe or twice. i timid us at him soon. i know that's valid with him soon. workshop teacher don't get one guess on balsamic as a follow up hope was on fidel. yeah, the kiss came out his can much. buh but good. the to skincare said dumb. it was a clinical future prism journal. it could be depressed or could you also not? this algorithm is not limited to commercial applications. you can also measure people's reactions to politicians. it was tested in the last french presidential election cycle during a televised debate with if you could, you little good sit lactose video tub. no environment. the no clue deeper to teach a vague the new. he does have a good new rules. he's asking, jacob shows them a copy. it has official, could yonah pretty not if he can lifted upon the deck, you should never to presume was young men offshore. look on the deck, you never to presume was all negative 9. have been a pre, a look on the dow, thus a bush joe crazy. now sanky on get you to pieces hitting michael a doctor to live, but didn't when mass on the ticket, but he not if he that he just he told hasta to make such an algorithm effective, it must be fed millions of data points. the gods of the mega data world are the big for google, amazon. facebook and apple. did we headed desert to see it in action? here to google has built it largest research center dedicated to a i outside of us with 2000 contributors hailing from all over the world. google has always been excited about artificial intelligence and the use of mushing learning has increased rapidly in their recent years. and it makes possible what was impossible just few years ago with machine learning in a different way from humans. they need to see a lot of examples to understand what they're seeing on a photograph. for example, if you are teaching a computer to recognize a captains that you much, you need to show it's a lot of examples and then the system would try to take a guess of was a new pictures. and every time it would make a mistake, for example, miss label a dog for a cat, it with a just the barometers a tiny bit. and then after seeing probably a 1000000 of examples, the system would sir, learn to differentiate between cats and dogs as well as people do when is my next making? the next thing on your calendar is today at 1 pm. it's called context b shard bees. audi leads the team developing a next gen voice command assistant, a project very much in keeping with the ambitions of big tech companies. thanks to progress made with image and voice recognition. the assistant can answer any questions a user could ask. who painted this? mona lisa was created by leonardo da vinci translate this this might be right. check out the translation in the image above. how many calories doesn't have. there are 95 calories in one medium, apple. this virtual assistant slips into the heart of your home as a smart speaker justice and gets better, the more you use it. it both learns from the interaction side to more personalized words my needs. but also i can teach things for the assistant. for example, i can just say ok, google, my favorite team is brussel owner. okay, i'll remember that you said my favorite team is bar slona and now just systems remembers this. and then from now on i can simply say my team one is my team. next game or things like that, people do not need to learn how to interact with machines. they can just say, you know, you can just say, hey, google or the taxi for me. it makes the services and benefits really to be available to all people. okay, google has a traffic to my home on your way home traffic is light as usual. it is 28 minutes by car. okay, google. remind me to call mom when i get home. sure. i'll remind you on your phone when you get home. when that works, are there really at the human level, at the same way that humans interact between themselves, then, then these types of technologies is available to everybody. ah, i have an optimistic view on the future, and i believe there's a tremendous opportunity in artificial intelligence. we are still in the early days of the field, but we've seen that it can tackle some of the largest problems in the world. the technology has an ability to find patterns in complex data sets that humans could never do alone. so this has huge implications and the technology has an opportunity to help researchers in different fields to tackle some of the most difficult problems on the field of medicine and transportation. shawna me and elsewhere from health care to transport, to the stars. the applications for this technology scene limit list. to find more concrete applications. we had to a so called smart count. on the way we noticed airports increasing reliance on a systems to manage the flow. passengers playing themselves will soon integrate a i system to monitor weather patterns, altitude and fuel levels in real time to adjust the flight path. managing the daily rhythm of life is a growing problem for urban centers. dublin, ireland is proud to declare itself a smart city, having that heavily on an investment in a i, systems for logistics. the old doc lands are now the smart doc lands, a model for future urban development. we are at the silicon valley of europe in dublin. you just look at the dock vans here, you know, some people call it the silicon docs. we've got, we're a leading tech companies, you know, within 15 minute walk. you've got google with 6000 employees. got facebook, you've got air b and b all creating excellent value for the city and building great partnerships and relationships on our smart city program as well. there's lots of big trends, like big data, internet of things, machine learning, artificial intelligence. what you really need to do is take that data back, you know, crazy insights from that data and in almost real time make decisions based on not data i'm, we're seen it across, i suppose, mobility in transport across waste, across emergency responses. and i think, you know, the true smart city is the city that actually can acts on the data make better decisions and create better outcomes at the right time for it citizens. ah, some applications are quaint, like this mart been that notifies the local services that it needs to be empty for other uses are aimed at more complex problems like managing the flow of traffic in a town, experiencing an economic search. the council has installed cameras and sensors across a number of key locations. they record the flow of pedestrians, likes, buses, and car. ah, but how do they manage this huge flow of data? brendan o'brien rent the team responsible for traffic light operation, many towns, he's a similar system, but here adjustments are made in real time based on the flow of traffic. every bus is equipped with sensors every 20 seconds, every single boss reports to us where it is, what it's doing, what route is it on? is it in congestion? is it stopped at a bus stop? will see the slowdown and boost movements and that will actually alert or operate is here to the fact that those problems which the bosses are experiencing. but that in turn means that all the traffic is experiencing as well. i. so what's happening this morning? it looks a bit sir. congest, they're in a free vacation. yeah. the date is shown as actually congestion here this morning to, to delays on this road here. so it should be coming to view as little time through here that that's a fairly long askew at the moment is not an axis building up customer. yeah, our system is, is the south learning south calibrating system. most of the time the system works away in the background by itself and an automated voice. the system still requires some human input to manage effectively. but there is another great technological leap forward on the horizon, a piece of software that will predict problems before they arrive. can we predict what's gonna happen next? you see all these vehicles coming in? you know, we go for the next half an hour and say, oh, i think here will be congested here will be congestion unless we take some action. that's kind of using all that information and using multiple data sources to really find a pattern. and once they find a pattern, they can then see what to do next. the city authorities are sitting on an enormous pile of data, but they don't have the means to fully utilize it. they have therefore joined in partnership with ibm, which opened a research station just outside the city in 2011. ah, once that investment is made, then you can do things like censorious a, entire road networks and actually of collecting that data. and then once you have it, then you can actually start applying artificial intelligence to that data to make predictions, to make suggestions as well. data scientists are the backbone of a i development. they are constantly refining and analyzing a huge range of inputs to find hidden correlations amongst data from a me, in just a lot of data from various services with the main challenge is that the data are very heterogeneous. each tells you a small part of the complete picture in it's very hard for us to actually know what has happened. so we may be able to detect that this road is blocked. but the precise reason why that road is blocked is often obscure. often the solution lies in adding a new source of data. ibm has begun integrating posts made on twitter to its algorithms data feed, the twitter often. lo, she to associate geo text tweets about an event such as, there was an, a concert and 70. and people are leaving this arena, i, with the information that the, this whole here he hasty might slower travel times than usual. so sort of in order to provide the explanations the twitter is very use a lot of artificial intelligence. now, i think is comes down to making predictions, saying this is going to happen. and then leaving it to the person to decide what to do about that. as we go forward, we'll see a lot more solutions. 5 as opposed to just predictions, many developers are hard at work creating programs that leverage predictive technology makings on the new streams. that's okay. hello, this came is working on and only i assistant for driver side connection video streams lives. so you have low the event detection in the video stream, right? yes. so we have something i could use for the companion. what we want to provide here is an assistant that gifts information that's relevant to you in the context of the strip, right? so the idea is essentially a companion that watches over you like a guardian angel that sees all your behaviors because this only some advice that's relevant for you. oh, it just definitely something it seems you're going to use a t l field. is that correct? that is correct? yes. you should enter you cd 3, the ne gate of still organ road. is that okay? can you explain to me why? because the, you see the internal gates are closed. now can i suggest the best parking spot to you? that will be great. yes. the assistant can intuit what the user needs without having to ask direct question as they are coming from the car and from the driver. like where the car has been, what trips i've taken in the past where i am, i had it now, but also a lot of data from the environment, right? like traffic situation and if that weather situation. now we may be even data from social media or the publicly available data. what's the camera in front of you? so with this camera fluid, be able to detect certain conditions of the driver and included these conditions. you know what a i model and expand our risk mitigation strategies, so as to really include the cognitive state of the driver. so if you can detect that somebody has a lot on his or her mind, writes than companion may use that information to be more proactive than situation where somebody is really focused and not distracted with hey, i wants to be your best friend, a friend that reads your emotions, counsels you guides you and follows you. it seeks omnipotence, but whether this will be for better or for worse remains to be seen. as we had north in search of the cutting edge of digitally enhanced medicine, finland was an early adopter of data driven health care a i, it's becoming a key asset in providing treatment. helsinki general hospital, the largest in finland, is developing an algorithm to efficiently processed patience. marcus luskin was an early advocate of such research. lee, his unit deals with premature births that weigh less than one and a half kilos whose lives lie in the balance. oh, wow. we, we have collected data for several years actually over the decades we monitor data, hot rates are using rate oxygen saturation, blood research, laboratory values. we are trying to develop algorithms that could detect a different diseases on the same model we have so far used sepsis. oh no, it's looking like that. those who have on file, like the immune system of premature babies, is very weak. they are particularly at risk of contracting septicemia. this infection can have serious repercussions on mental development and can lead to cognitive impairment in 10 percent of cases, a can even prove fatal in the beginning, the comp you the needs to know whether this patient have to septa so not. so basically we are telling them that, okay, these patients had sa