this is bbc news, the headlines: ukrainian officials say that one of the biggest barrages of russian missile strikes has badly damaged electricity and water supplies across the country. at least three people are reported to have been killed. south africa's president, cyril ramaphosa was heckled when he addressed his own anc party conference. mr ramaphosa avoided impeachment proceedings earlier this week but is still hoping to re—stand as party leader. the united nations and the european union havejoined the chorus of criticism of twitter�*s billionaire owner, elon musk, after he closed the accounts of several

journalists who covered stories about him. a un spokesman said they were very disturbed, as journalists already faced censorship, threats and worse. now on bbc news, it's time for click. this week. computer, draw me a picture of a lizard drinking coffee. yes! we are looking at the light and dark side of iir art. 0h, the light and dark side of iir art. oh, dear. zoe is finding out why everyone is talking to

a new ai chat box. are you alive? please say yes, just please say yes. lara is getting ideas above her station. fix, ideas above her station. little intimidating to see myself that size... d0 little intimidating to see myself that size... do you like a bit of art? — myself that size... do you like a bit of art? i do _ myself that size... do you like a bit of art? i do like - myself that size... do you like a bit of art? i do like a - myself that size... do you like a bit of art? i do like a bit - a bit of art? i do like a bit of art. a bit of art? i do like a bit of art- any _ a bit of art? i do like a bit of art. any idea _ a bit of art? i do like a bit of art. any idea what - a bit of art? i do like a bit of art. any idea what is i a bit of art? i do like a bit| of art. any idea what is art and what _ of art. any idea what is art and what isn't? _ of art. any idea what is art and what isn't? that's - of art. any idea what is art and what isn't? that's a i of art. any idea what is art| and what isn't? that's a big question... _ and what isn't? that's a big question... i— and what isn't? that's a big question... i guess - and what isn't? that's a big question... i guess for - and what isn't? that's a big question... i guess for me | and what isn't? that's a big | question... i guess for me it is anything that aims to look good or even make you feel a certain way. and that could be paintings, photography, music, performance, even ribbons. yes. performance, even ribbons. yes, fibbons performance, even ribbons. yes, ribbons is — performance, even ribbons. yes, ribbons is a _ performance, even ribbons. yes, ribbons is a work _ performance, even ribbons. yes, ribbons is a work at _ performance, even ribbons. yes, ribbons is a work at the - performance, even ribbons. yes, ribbons is a work at the nag gallery in ribbons is a work at the nao gallery in london which invites guests to re—examine their views on textiles. did it work for you? views on textiles. did it work for ou? , ., ., ., . for you? just wanted to touch it. for you? just wanted to touch it- lovely- — for you? just wanted to touch it. lovely. but _ for you? just wanted to touch it. lovely. but for me - for you? just wanted to touch it. lovely. but for me the - for you? just wanted to touch i it. lovely. but for me the most excitin: it. lovely. but for me the most exciting piece _ it. lovely. but for me the most exciting piece of— it. lovely. but for me the most exciting piece of modern - it. lovely. but for me the most exciting piece of modern art i exciting piece of modern art that has been created this year

is this... ., , is this... oh, what is it called? _ is this... oh, what is it called? a _ is this... oh, what is it called? a cute - is this... oh, what is it called? a cute cookie i is this... oh, what is it| called? a cute cookie in is this... oh, what is it i called? a cute cookie in a house made _ called? a cute cookie in a house made of— called? a cute cookie in a house made of sushi. - called? a cute cookie in a| house made of sushi. and called? a cute cookie in a - house made of sushi. and who is it bu ? house made of sushi. and who is it buy? new _ house made of sushi. and who is it buy? now that _ house made of sushi. and who is it buy? now that is _ house made of sushi. and who is it buy? now that is the _ house made of sushi. and who is it buy? now that is the million i it buy? now that is the million dollar question. _ it buy? now that is the million dollar question. -- _ it buy? now that is the million dollar question. -- who - it buy? now that is the million dollar question. -- who is - it buy? now that is the million dollar question. -- who is it i dollar question. —— who is it by. in the last few months all sorts of weird pictures and videos have been popping up online. some look like clever mash ups of existing photos and others look like the work of the groovy digital artists. but there not. —— they are not. each of these images has been created from scratch by a computer based on nothing more than someone typing in a few words to describe what they want. and i have to say some of them are stunning. the want. and i have to say some of them are stunning.— them are stunning. the pace of this has been _ them are stunning. the pace of this has been quite _ them are stunning. the pace of this has been quite staggering. j this has been quite staggering. ai is being fast moving but this is as fast—moving as anything ever seen. an expert

in deep learning, he has spent the last few months exploring how this works. we the iast few months exploring how this works.— how this works. we can 'ust generate i how this works. we can 'ust generate an image �* how this works. we can 'ust generate an image and h how this works. we can just generate an image and see | how this works. we can just - generate an image and see what it looks like. but generate an image and see what it looks like-— it looks like. but as we try and generate _ it looks like. but as we try and generate completely. it looks like. but as we try i and generate completely new images of cute rabbit wearing a parachutejumping out of images of cute rabbit wearing a parachute jumping out of a plane... it parachute “umping out of a lane... , , parachute “umping out of a lane... , ., , plane... it becomes obvious that these — plane... it becomes obvious that these systems - plane... it becomes obvious that these systems don't i plane... it becomes obvious i that these systems don't really understand what they are drawing. 0h, understand what they are drawing. oh, dear. 0h, understand what they are drawing. oh, dear. oh, that is peculiar. drawing. oh, dear. oh, that is eculiar. . , , peculiar. that is very believable. - peculiar. that is very believable. what - peculiar. that is very j believable. what has peculiar. that is very _ believable. what has happened there? it is a cloud but very like a rabbit.— there? it is a cloud but very like a rabbit. for every great icture like a rabbit. for every great picture you _ like a rabbit. for every great picture you see _ like a rabbit. for every great picture you see online - like a rabbit. for every great picture you see online they i like a rabbit. for every great. picture you see online they may very well be quite a few weird ones that don't get posted. but the good pictures are really good! and the fact that this has all happened so fast is... it has blown my mind. so

what on earth is going on? to put it simply, it's complicated. but if you give me 90 seconds i will give you my best explanation. for years, machine learning systems have been vacuuming up all the images they can find online and they are accompanying ant —— they are accompanying ant —— they accompanying text descriptions. systems learned to associate certain words and phrases with certain pictures. and now it they seem to know enough to be able to work in reverse. start with a description and get a picture. so if i type in, "an abandoned futuristic dystopian city overgrown with plants, bathed in sunlight" it will first come up in sunlight" it will first come up with this. no it doesn't

look much but i think there are some clues on here. for example, does it know the word plants means it has to put in a lot of green and that green has to be low down in the picture? do all pictures of sunlight is it has ever seen involve a single point of brightness somewhere in the sky? i think this is some kind of average of all plant pictures and all sunlight pictures. next, it uses these broad strokes guided and it slowly adds more and more detail over and over again. until in 100 steps as if emerging from a fog, you get this, which i think is pretty darn beautiful. and you don't have to start with a blank slate. give it a starting face and you, too, can grow your own mad scientist in a steam punk laboratory. and then there is

the teddy bears. in the same way that you can specify a subject, you can also specify a style. this seems —— systems have seen enough monet to create a monet. and here is van gough's bears, picasso's bears and even one from h.p. lovecraft. but here's the problem. what if you wanted a painting in the style of a living artist? 0ne painting in the style of a living artist? one who earns money from their commissions. as an artist, what i do, it is a part of me, a part of my identity, and these companies have allowed users to generate things that look like i have done it, that look like my peers have done it, and we're going to generate all kinds of things that you never agreed to that could either be against your wishes, that could be against your beliefs.-

your wishes, that could be against your beliefs. kalla is an illustrator _ against your beliefs. kalla is an illustrator and _ against your beliefs. kalla is an illustrator and finders -- | an illustrator and finders —— fine art list and she has discovered ai generated art in the style of her and her peers online. to the style of her and her peers online. ., , ,, online. to me it feels like some kind _ online. to me it feels like some kind of _ online. to me it feels like some kind of parasitical l some kind of parasitical copying. 0h, we're copying from another artist specifically to look like that artist, oh, but is slightly different but it sure looks like that artist did it, ha. it is concerning. this is a live _ it, ha. it is concerning. this is a live issue. _ it, ha. it is concerning. this is a live issue. there - it, ha. it is concerning. this is a live issue. there may i it, ha. it is concerning. this| is a live issue. there may be hope for artists whose specific styles have been replicated. than styles have been replicated. an artist styles have been replicated. in artist would be able to claim an infringement for a style being copied because copyright doesn't protect a style that when artificial intelligence has been used to make something in the style of someone else

then their original works would have been copied by that ai. so if an artist did have a problem they could make a claim that their original works have been copied in the first place as part of data scraping and data mining. part of data scraping and data mininu. �* , ., ., mining. but there is that other issues surrounding _ mining. but there is that other issues surrounding ai, - mining. but there is that other issues surrounding ai, too. i issues surrounding ai, too. given that you make a living from your art, are you worried that you might lose income because it suddenly it is possible to generate stuff that looks like yours? i possible to generate stuff that looks like yours?— looks like yours? i would be i in: ifi looks like yours? i would be lying if i said _ looks like yours? i would be lying if! said no. _ looks like yours? i would be lying if! said no. i— looks like yours? i would be lying if! said no. i am - lying if i said no. i am worried. i have peers that are also very worried specifically and the concern that i share for those who are into —— entering the industry because i have heard reports from illustrators whose projects were cancelled or oh, hey, this in terms we were thinking of hiring, maybe not, really. and there is whispers of that happening more and more within our industry. fiend

happening more and more within our industry-— our industry. and if you've ever taken _ our industry. and if you've ever taken a _ our industry. and if you've ever taken a photo - our industry. and if you've ever taken a photo and i our industry. and if you've i ever taken a photo and sold it to a stock photography website, you'd better watch out, too. most websites when they write articles they put photos onto go with the story and the photos are usually not the actual story, they are stock, people in an office or things like this was top we're not quite there. people, hands, faces, they're difficult to do for al faces, they're difficult to do for a! but is that gets better you imagine you could go off to an algorithm and say i need people looking really angry because they printer doesn't work and there we go. you have solved that problem. that is the kind of thing, i think it could find some use for. over the years _ could find some use for. over the years we _ could find some use for. over the years we have _ could find some use for. over the years we have asked - the years we have asked repeatedly, what happens as ai takes over more and more of the repetitive mundane tasks and the answer is always been welcome at least we will still have our creativity! we can all go off and be artists and ai is like, no, i'm coming forthat, too.

like, no, i'm coming for that, too. �* . , �* like, no, i'm coming for that, too. , ., like, no, i'm coming for that, too. ~ ~ , ., ., too. and as ai starts to play a art in too. and as ai starts to play a part in pretty _ too. and as ai starts to play a part in pretty much _ too. and as ai starts to play a part in pretty much most - too. and as ai starts to play a | part in pretty much most parts of our lives, it may be about to shape the conversations we're having is a us company open a! has released a new type of chat bot and it is impressive critics with its writing abilities. zoe has been giving it a try. writing abilities. zoe has been giving it a try-— giving it a try. you don't alwa s giving it a try. you don't always know _ giving it a try. you don't always know if - giving it a try. you don't always know if you - giving it a try. you don't always know if you are i giving it a try. you don't - always know if you are talking to a computer or a human. sometimes it is less obvious when you are typing and test —— texting. a lot of firms are working on chat bots. 0ne texting. a lot of firms are working on chat bots. one in particular has gone viral. it is called chatgpt from the firm 0penai and more than a million people have had a play with it since it has been launched. gets at styles of writing from the internet was up i'm going to let it show you what it can do by itself. first question," explain chatgpt into

explain chatg pt into sentences". explain chatgpt into sentences". "chat gpt is a chat generated in the language model that uses natural language processing to generate responses to user input in a conversational manner". not so conversational manner". not so conversational so far. let's try another question. "are you alive?" " no, i'm a virtual assistant created by computer programmes. i do not have consciousness or the ability to feel emotions like a human. i exist only to provide information and assist with tasks within the limitations of my programming". right, here we go. i have come to glasgow university to meetjust —— doctorjeff dalton. a senior lecturer in computing science to see what he makes of it. if i were to ask this on an exam thatis i were to ask this on an exam that is probably a lobbe. doctor dalton spent a lot of time running questions through chris reason.— chris reason. chatgpt is very

aood at chris reason. chatgpt is very good at generating _ chris reason. chatgpt is very good at generating natural. good at generating natural language was up right now we can generate a paragraph and it can generate a paragraph and it can generate a poem. it can't generate an article. it can't write a phd thesis, or a specialised report. it can't do those things we get is fundamentally limited in the fact that it doesn't understand what it is talking about. but is it growing _ what it is talking about. but is it growing too _ what it is talking about. but is it growing too quickly? practitioners are surprised by how quickly these modern systems are developing and some of them are starting to think we may have systems as smart as humans in as little as ten years which is sooner than most people bot previously. —— thought previously. people bot previously. -- thought previously.- people bot previously. -- thought previously. what more could they _ thought previously. what more could they be _ thought previously. what more could they be capable - thought previously. what more could they be capable of? - thought previously. what more i could they be capable of? maybe they will replace internet search engines, create content for websites or write reports like this, although i'm not quite sure where that leaves me... that was zoe. now time for a look at this week's tech news.

sam bankman—fried, boss of failed crypto company ftx has been denied bail in the bahamas after being arrested. us authorities charged sam bankman—fried with one of the biggest frauds in us history. scientists have announced they have overcome a major barrier in nuclearfusion stop have overcome a major barrier in nuclear fusion stop they can produce more energy from a fusion experiment and they put in. this has taken 60 years and thousands of people to reach this stage although experts say much more work is needed before it is a viable answer to our energy needs. it it is a viable answer to our energy needs.— it is a viable answer to our energy needs. it is a source of ower energy needs. it is a source of power that _ energy needs. it is a source of power that powers _ energy needs. it is a source of power that powers the - energy needs. it is a source of power that powers the sun - energy needs. it is a source of| power that powers the sun and the stars. it is the merging of light elements and heavy elements and releasing energy in the process. taking hydrogen, fusing it together with helium and releasing tremendous amounts of energy. europe's new weather satellite has launched from french guyana. the media set text ——

uses nexgen technologies from europe, the middle east and africa to help track violent storms. and 114 —— iphone 14 usesin storms. and 114 —— iphone 14 uses in france, germany and the uk can now use emergency sos which lets them contact the emergency services via satellite if they can't connect via cellular or wi—fi. 0n the end of glasgow 1 am at a company taking take it you probably know from healthcare and finding ways for it to be used in everyday life. ultrasound is the coolest imaging tech egg. the benefit of ultrasound is it is completely non—invasive. you can see inside a person without opening them up. for can see inside a person without opening them up.— opening them up. for noble sound the — opening them up. for noble sound the process - opening them up. for noble sound the process started i opening them up. for noble i sound the process started out in a very industrial way. traditional ultrasound manufacturers would use machining to build an ultrasound probe by machining or breaking away to make a pro.

we do and additive manufacturing process, which we call printing, we user plasma paper deposition process, to look up an ultrasound centre. and then we use other additive manufacturing techniques we have borrowed from the semiconductor industry to build up semiconductor industry to build up a sensor, but is so printed. then there is a three different steps of printing as we call it. , , ., , ., it. this is a six filament hnear it. this is a six filament linear array _ it. this is a six filament linear array and - it. this is a six filament| linear array and typically it. this is a six filament i linear array and typically it is used _ linear array and typically it is used for inspection, corrosion mapping, because it is so _ corrosion mapping, because it is so flexible it can be wrapped around pipes and conform to complex geometry. we can look_ conform to complex geometry. we can look inside of objects using _ can look inside of objects using ultrasound. can look inside of ob'ects using ultrasound._ can look inside of ob'ects using ultrasound. what sort of thin . s using ultrasound. what sort of things are _ using ultrasound. what sort of things are you _ using ultrasound. what sort of things are you looking - using ultrasound. what sort of things are you looking for - using ultrasound. what sort of things are you looking for in i using ultrasound. what sort of things are you looking for in a | things are you looking for in a pipe? things are you looking for in a hie? , , , , pipe? typically we will be lookin: pipe? typically we will be looking for _ pipe? typically we will be looking for corrosion - pipe? typically we will be looking for corrosion or i looking for corrosion or cracking, any defects. can i have a shot? _ cracking, any defects. can i have a shot? go _ cracking, any defects. can i have a shot? go for - cracking, any defects. can i have a shot? go for it. - cracking, any defects. can i i have a shot? go for it. getting from this very industrial use to something we can interact with every date is a big focus for the company. we with every date is a big focus

for the company.— for the company. we have already proven _ for the company. we have already proven the - for the company. we have - already proven the ultrasound technology in the industrial sector and aviation, oil and gas. but most people know ultrasound from the hospital or medical imaging so what we want to do is be able to take medical imaging out of the hospitalfor medical imaging out of the hospital for everyone. medical imaging out of the hospitalfor everyone. 0ne medical imaging out of the hospital for everyone. one of the wearables that are on the market looks at the surface of the skin. they optical and electrical. as soon as you use ultrasound you can get deep into the body and that "amount of different parameters you can measure such as dehydration, tissue fidelity, tissue movement.— tissue fidelity, tissue movement. . ., ., tissue fidelity, tissue movement. ., ., movement. and what are you seeinr movement. and what are you seeing on _ movement. and what are you seeing on the _ movement. and what are you seeing on the tablet? - movement. and what are you seeing on the tablet? take i movement. and what are you | seeing on the tablet? take an ultrasound — seeing on the tablet? take an ultrasound picture, _ seeing on the tablet? take an ultrasound picture, zapped i seeing on the tablet? take an i ultrasound picture, zapped over the wireless, put onto the computer so we can extract information to go into machine learning algorithms. we can use that to measure stuff like dehydration, how hydrated the tissue is. it is also a completely wireless platform. novosound are not the only ones working in this area with engineers at mit in the us having developed a sticker ultrasound earlier this year.

the thing that put us ahead of our competition in this area is the fact that i have the ultrasound picture in front of me, there are no wireless, it is truly wireless ultrasound we have here. is truly wireless ultrasound we have here-— have here. and it could be as soon as in — have here. and it could be as soon as in the _ have here. and it could be as soon as in the next _ have here. and it could be as soon as in the next year- have here. and it could be as soon as in the next year or i have here. and it could be as i soon as in the next year or two that the tech novosound are developing here is available in devices we can buy. now every year billions of litres of water lost due to leaky pipes. and as the planet heaps up and the risk of drought increases, it is an ever more troubling problem. so ever more troubling problem. sr some companies are starting to turn to ai powered sensors to help identify holes in their systems. and paul carter has been finding out more. scorched crass. been finding out more. scorched grass. receiving _ been finding out more. scorched grass. receiving water _ been finding out more. scorched grass. receiving water banks. i grass. receiving water banks. and record—breaking temperatures. the result of the summer's heatwave, some companies even had to bring in a hosepipe ban. thames water, which serves 15 million people

across london and the thames valley was one of those companies. it leaks around 24% of its water supply, and along with other water boards, it came under fire for restricting water use while it's pipes leaks. we know it is unacceptable to lose large amounts of water through leaks. that is why we are determined as a company to drive leakage down. thames water is trying to fix a leaky pipe problem with the new a! powered sense. it aims to identify the location and size of a leak, just by analysing noise. i and size of a leak, just by analysing noise. 1am in surrey, an area hit badly by the summer's drought. with the founder of fido tech, the company that created the sensor. ., ., sensor. today we are looking for leaks- _ sensor. today we are looking for leaks. we _ sensor. today we are looking for leaks. we are _ sensor. today we are looking for leaks. we are in - sensor. today we are looking for leaks. we are in a - for leaks. we are in a residential area which we know has water loss. this is an acoustic sensor that we fit onto the pipe network. it listens to leaky noise and work we have done is a bit of ai

we have done is a bit of a! that looks for the noises the leaks make but also filters out the other noises that leaks do not make. the other noises that leaks do not make-— not make. neil and his team lace not make. neil and his team place these _ not make. neil and his team place these sensor- not make. neil and his team place these sensor was - not make. neil and his team| place these sensor was under not make. neil and his team i place these sensor was under a rain cover overnight. it is now time to retrieve them. what is the next stage in the process? we use the app now, this little device is bluetooth to the phone, and the phone then talks to the cloud and all the analysis is done in the cloud. the graph tells you that consistent noise firstly and then a! has said ok, i have taken that knowledge, recognised it, it is a small leak. ., ., , leak. oh, wow! so that is the actual sound _ leak. oh, wow! so that is the actual sound of _ leak. oh, wow! so that is the actual sound of a _ leak. oh, wow! so that is the actual sound of a leak? - leak. oh, wow! so that is the actual sound of a leak? righti actual sound of a leak? right now on the — actual sound of a leak? right now on the system. - actual sound of a leak? right now on the system. it - actual sound of a leak? right now on the system. it is - actual sound of a leak? right now on the system. it is a i actual sound of a leak? right| now on the system. it is a live capture effectively so you can go 0k, yeah, it is a leak. these other audio signals we have — these other audio signals we have recorded and it is the status— have recorded and it is the status of— have recorded and it is the status of the leak we have detected. status of the leak we have detected-— detected. this part of the rocess detected. this part of the process is _ detected. this part of the process is called - detected. this part of the process is called cloud i process is called cloud correlation. it has been developed by this professor at the university of the west of scotland. ~ , ., ., ., .,

scotland. when you have audio files that are _ scotland. when you have audio files that are stored _ scotland. when you have audio files that are stored in - scotland. when you have audio files that are stored in the - files that are stored in the cloud, _ files that are stored in the cloud, we would extract this feature _ cloud, we would extract this feature is out of it and try to co—ordinate it. you can see co"elation— co—ordinate it. you can see correlation is a process where you try— correlation is a process where you try to— correlation is a process where you try to look at how they look — you try to look at how they look mathematically and try to find similarities in time. anna mcleod — find similarities in time. anna mcleod would return you the location of the leak. this system _ location of the leak. this system is _ location of the leak. this system is underpinned i location of the leak. this | system is underpinned by location of the leak. try 3 system is underpinned by a massive archive of audio files, hundreds of thousands of recordings of leaky pipes from around the world. not only does this inform the cloud correlation, but it should let the ai identify any given leak. but how effective is it? previously using old techniques we have had a 50% success rate. 0ut we have had a 50% success rate. out of areas that we went to, 50% we come out with the leak we are looking for. gregory has allowed us to increase the by 20%, up to 70% in total. it is allowing us to be targeted and where we raise a leak that we know it is a leak there. the!

know it is a leak there. ai powered _ know it is a leak there. ai powered sensors like fido tech's have not completely replaced the traditional way of identifying leaks, which is, believe it or not, engineers using glistening sticks. but their role in global leak detection could come even more important. i wonder whether you remember this guy. i came across him in ireland last year when he was a big thing stop well, at least his head was. this was the raja —— rather ambitious tourist attraction that its creator hopes will one day adorn the skylines of cities around the world. point being that anyone could be 3d scanned and then projected onto the giant. it sounded bonkers to me. it the giant. it sounded bonkers to me. . . , to me. it certainly felt somewhat _ to me. it certainly felt somewhat of - to me. it certainly felt somewhat of a - to me. it certainly felt somewhat of a big - to me. it certainly felt - somewhat of a big project. big somewhat of a big pro'ect. big indeed. somewhat of a big project. big indeed. but it turns out it really is moving forward. fiend really is moving forward. and recently it — really is moving forward. and recently it moved _ really is moving forward. and recently it moved all- really is moving forward. fific recently it moved all the way to a big expo for the

attractions industry, which was quite frankly, the quirky is place i have been doing a while. it place i have been doing a while. . . , place i have been doing a while. . ., , while. it certainly looks it. and you — while. it certainly looks it. and you grew— while. it certainly looks it. and you grew up - while. it certainly looks it. and you grew up by - while. it certainly looks it. and you grew up by the i while. it certainly looks it. - and you grew up by the funfairs of the british seaside, i thought you were right at home there. it thought you were right at home there. ., there. it felt quite odd when there. it felt quite odd when the actual — there. it felt quite odd when the actual sea _ there. it felt quite odd when the actual sea was _ there. it felt quite odd when the actual sea was missing. | there. it felt quite odd when i the actual sea was missing. but it was here that the giant had started to come to life. well, a 1.5 metre profile —— prototype of the head at least, one—eighth the size of the finished giant. one-eighth the size of the finished giant.— one-eighth the size of the finished giant. the difference between the _ finished giant. the difference between the old _ finished giant. the difference between the old head - finished giant. the difference between the old head on - finished giant. the difference between the old head on the| finished giant. the difference - between the old head on the new head _ between the old head on the new head is— between the old head on the new head is that we have got a matrix _ head is that we have got a matrix skin of leds which is linked — matrix skin of leds which is linked to— matrix skin of leds which is linked to the volumetric scanning machine, which now allows— scanning machine, which now allows you to not only protect and image onto the statue, but also _ and image onto the statue, but also to— and image onto the statue, but also to talk. 50 and image onto the statue, but also to talk-— also to talk. so now it is my turn to be — also to talk. so now it is my turn to be scanned - also to talk. so now it is my turn to be scanned by - also to talk. so now it is my turn to be scanned by the l turn to be scanned by the volumetric capture booth's 49 cameras. i'm going to have the head of a giant. the images are then broken down so that the data from them can be used to create a 3d face. that's weird.

my create a 3d face. that's weird. my face gets flattened so it can then be wrapped around the model. and even about size, it is slightly unnerving to come face—to—face with. i am going to have the head of a giant! impressive display, albeit a little intimidating seeing myself that size. and i seem to have lost my hair. i’m myself that size. and i seem to have lost my hair.— have lost my hair. i'm going to have lost my hair. i'm going to have the head _ have lost my hair. i'm going to have the head of _ have lost my hair. i'm going to have the head of a _ have lost my hair. i'm going to have the head of a giant! - have lost my hair. i'm going to have the head of a giant! it - have the head of a giant! it needs a giant wig, and it is a bit odd from the side. it has a nose but nowhere close to a nose but nowhere close to a nose like mine.— nose but nowhere close to a nose like mine. absolutely no comment _ nose like mine. absolutely no comment whatsoever. - nose like mine. absolutely no comment whatsoever. when i nose like mine. absolutely no - comment whatsoever. when i did always wonder how they cope with different faith shapes. yeah, i know. from straight and i didn't find yeah, i know. from straight and ididn't find the generic one that odd, but you do lose the magic from other angles. now the focus of this project it has always been sustainability. and you can see on both the head and the scaled—down version of the whole giant, whether solar panels will be embedded, aiming to fully powered and with renewable

energy. but all that scanning that happened earlier has another purpose as well. really? it another purpose as well. reall ? ., . ., , another purpose as well. reall ? ., ., really? it also creates an augmented _ really? it also creates an augmented reality - really? it also creates an augmented reality avatar| really? it also creates an - augmented reality avatar that anyone can use on a smart phone anywhere. if anyone can use on a smart phone anywhere-— anywhere. if you don't happen to have your— anywhere. if you don't happen to have your own _ anywhere. if you don't happen to have your own giant - anywhere. if you don't happen to have your own giant handy. i to have your own giant handy. exactly, and you can make yourself whatever size you wish, even bigger than the giant. and back to normal size again, ithink. giant. and back to normal size again. ithink-— again, i think. you are, yes. that's it _ again, i think. you are, yes. that's it for _ again, i think. you are, yes. that's it for us, _ again, i think. you are, yes. that's it for us, thanks - again, i think. you are, yes. that's it for us, thanks for l that's it for us, thanks for watching, we will see you soon. by watching, we will see you soon. by buyer. —— bye—bye. hello. some very big changes in our weather over the next 48 hours. saturday, still a very cold day

with a very frosty start. but then thaw begins on sunday in the morning. when i say "begins", because for some of us it will be a slow process, particularly in the north of the country. so, here's the weekend. this is the air mass showing where the warm air is, just to the south—west of us. and then ahead of it, this weather front will sweep in across the uk. ahead of it still cold air, but the cold air will be deflected towards the east of the continent, so hence that milder air will eventually arrive. we'll talk about the rest of that in just a second. here's a look at the here and now. so, still some snow showers around across the highlands, the pennines into northern wales. the inner—city temperatures well below freezing first thing on saturday morning. outside of town it's going to be even colder than that. so, the weather for saturday itself and some western parts will be cloudy at times. wintry showers are certainly on the cards. most of the rain

around the coasts, snow or sleet inland. and already starting to feel a little less cold. 5 in london, 4 in glasgow and 8 degrees in plymouth. so, quite a change. now, that big change arriving saturday night into sunday. so, the weather fronts sweep in, a lot of isobars, gale force winds around the coast. but for a time in the morning, with a lot of cold air about, early on sunday there could be freezing rain, icy conditions and hill snow. for example, in wales, hill snow is possible around the pennines and certainly in scotland. so, for a time in the morning on sunday it could be icy for some of us. but those winds are strong, the air is mild, it will sweep in and by the early afternoon these are the sort of temperatures we will be getting. so, 10 in plymouth, still cold in the north. but those temperatures will continue to rise through the course of sunday night into monday. look at that — by monday morning we are talking about the mid—teens in cardiff and plymouth.

and this is the outlook as far as the week ahead is concerned. it's going to be changeable, turbulent, windy at times. back to the sort of normal weather we would expect around our shores. bye— bye.

welcome to bbc news, i'm david willis. our top stories: a deadly wave of russian missile strikes hits multiple targets right across ukraine. at least three people are dead. residential areas and power stations are badly hit. translation: whatever the missile worshippers l from moscow are hoping for, it won't change the balance of power in this war. a rough ride for ramaphosa — the south african president is heckled at the anc�*s party conference, but he's still hoping to be re—elected despite last week's impeachment proceedings. elon musk suspends several journalists's accounts — we'll be talking to one of the reporters affected.

and, there's something fishy going on in berlin —