voice-over: this is bbc news. we'll have the headlines for you at the top of the hour, which is straight after this programme.

this week: should we go for a ride? l this week: should we go for a ride? ~ , l, ride? i think we should. alasdair _ ride? i think we should. alasdair keane - ride? i think we should. | alasdair keane strapped ride? i think we should. - alasdair keane strapped into a truck with a distance. different —— difference. but how hard is it to power a drug by battery?— how hard is it to power a drug by battery? you can start with lots of robots. _ by battery? you can start with lots of robots. it _ by battery? you can start with lots of robots. it is _ by battery? you can start with lots of robots. it is quite - lots of robots. it is quite mesmerising _ lots of robots. it is quite mesmerising to - lots of robots. it is quite mesmerising to watch. i lots of robots. it is quite - mesmerising to watch. love a robot. i know— mesmerising to watch. love a robot. i know you _ mesmerising to watch. love a robot. i know you do. - mesmerising to watch. love a robot. i know you do. plus - mesmerising to watch. love a i robot. i know you do. plus from ten wheels _ robot. i know you do. plus from ten wheels to _ robot. i know you do. plus from ten wheels to do _ robot. i know you do. plus from ten wheels to do but _ robot. i know you do. plus from ten wheels to do but how- robot. i know you do. plus from ten wheels to do but how aboutl ten wheels to do but how about a scooter powered by gas? we have also _ a scooter powered by gas? we have also been overrun by rats this week, but ai has a solution in its sites. and there is _ solution in its sites. and there is something - solution in its sites. and| there is something weird lurking in the water. those are my toes you — lurking in the water. those are my toes you are _ lurking in the water. those are my toes you are talking - lurking in the water. those are my toes you are talking about, and they were freezing. if you leave them — and they were freezing. if you leave them in _ and they were freezing. if you leave them in their _ and they were freezing. if you leave them in their long - and they were freezing. if you l leave them in their long enough you will— leave them in their long enough you will real story here is we are exploring the depths by

robots _ are exploring the depths by robots. ., ., robots. the world of transport wants to go — robots. the world of transport wants to go electric, but - robots. the world of transport | wants to go electric, but some vehicles are easier to electrify than others. while the tech world is going mad for electric cars, bigger vehicles are proving more difficult. big and heavier they are, the bigger and heavier the batteries need to be. more than a uuarter batteries need to be. more than a quarter of— batteries need to be. more than a quarter of greenhouse - batteries need to be. more than a quarter of greenhouse gas - a quarter of greenhouse gas emissions from road transport in the eu comes from heavy duty vehicles. and because nearly everything we eat, drink and where will have been in a big truck at some point, the cleaner, greenerfuture is cleaner, greener future is going cleaner, greenerfuture is going to need cleaner, greener haulage. in going to need cleaner, greener haulaae. haulage. in some manufacturers are pushing _ haulage. in some manufacturers are pushing on _ haulage. in some manufacturers are pushing on with _ haulage. in some manufacturers are pushing on with the - are pushing on with the switch to electric, as alasdair keane has been finding out. there are millions of heavy goods trucks driving on roads all over the world. but why are

so few of them running on electricity? to find out, we are near sweden plasma capital, home to one of europe's biggest truck manufacturers. they are on the long road to changing an industry that is having a big impact on our planet. this is the largest— impact on our planet. this is the largest change _ impact on our planet. this is the largest change our- the largest change our industry has over a hundred years. when we went from horses to vehicles actually. we went from horses to vehicles actuall . ., ., ' actually. now trundling off the end of the _ actually. now trundling off the end of the production - actually. now trundling off the end of the production line - actually. now trundling off the end of the production line is i end of the production line is an increasing number of electric trucks. and scania eventually wants that to be every vehicle they make. switching to electric production has not been easy. one of the biggest challenges is the weight of the batteries. they had to reinforce the concrete and bring in new equipment to be able to lift them, and that meant closing down the production line for three months.—

down the production line for three months. ., , ., three months. there are several thousand new _ three months. there are several thousand new components - three months. there are several thousand new components in . three months. there are several| thousand new components in the electric vehicles, and they are also, what was very important during this time, so they could be able also to work on electric vehicles just as they do on internal combustion engines. do on internal combustion engines-— do on internal combustion enuines. ~ ., , engines. unlike four cars, this move to electric _ engines. unlike four cars, this move to electric tracking - move to electric tracking is going at a very slow pace. so what motivates a company to make such a big gearshift? welcome on board.- make such a big gearshift? welcome on board. nice to meet ou. i welcome on board. nice to meet you- i am — welcome on board. nice to meet you. i am hitching _ welcome on board. nice to meet you. i am hitching a _ welcome on board. nice to meet you. i am hitching a lift - you. i am hitching a lift with the man with the keys to this organisation. this company has been part of the problem for 130 years almost, a long time producing those trucks that were emitting the emissions that were not good for the planet. is there guilt behind the change?— the change? yeah, i think there is uuilt, the change? yeah, i think there is guilt, there _ the change? yeah, i think there is guilt, there is _ the change? yeah, i think there is guilt, there is the _ is guilt, there is the notion that we want to be able to see

our kids and grandchildren in the eyes and say we knew it and we chose to do something about it. instead ofjust trying to continue to optimise profits and do the things that companies do. and there is also a notion of coming early to the insight that this is the future competitiveness. if you are lost —— last into this journey you will have a problem to compete because at some point everyone will understand, and that has been really important because you have to have that as a company, when you are to convince your supervisory board, your owners and everyone around you in the ecosystem that you need to walk down this path. that you need to walk down this ath. ., that you need to walk down this ath, ., ., , that you need to walk down this ath. ., ., , ., , path. not only did scania stop out of it for _ path. not only did scania stop out of it for several _ out of it for several months, they also built this battery plant next to where the trucks are assembled. we are in one of the most high tech parts of the site where lots of robots are

assembling the batteries that will end up in the trucks. it is quite mesmerising to watch. these batteries weigh an incredible 4000 kg. that presents lots of challenges for those driving them. there are still lots of questions though about using battery electric. is it powerful enough to move these heavy trucks? is there these heavy trucks? is there the charging infrastructure to get them when they need to go and at three times the cost of and at three times the cost of a normal truck, are they a sound investment that companies will get their money back on? and part of the debate has also been about other ways to power trucks, with some in the industry suggesting hydrogen fuel cells are the best solution for green tracking. battery electric is the most cost efficient, so therefore we believe in this, and also it is possible to build infrastructure and everything around it. infrastructure and everything around it— around it. shall we go for a ride? i think _ around it. shall we go for a ride? i think we _ around it. shall we go for a ride? i think we should, . around it. shall we go for a i ride? i think we should, let's do it. ride? ithink we should, let's

do it. it ride? i think we should, let's do it- it is — ride? i think we should, let's do it. it is completely - ride? i think we should, let's do it. it is completely silent. | do it. it is completely silent. and it is _ do it. it is completely silent. and it is strong, _ do it. it is completely silent. and it is strong, the - do it. it is completely silent. and it is strong, the torque l do it. it is completely silent. | and it is strong, the torque is amazing _ and it is strong, the torque is amazinu. ., , , and it is strong, the torque is amazing-— amazing. you must still have a hard time _ amazing. you must still have a hard time convincing _ amazing. you must still have a hard time convincing drivers i amazing. you must still have a hard time convincing drivers to make the switch.— hard time convincing drivers to make the switch. there is a lot of scepticism, i _ make the switch. there is a lot of scepticism, i am _ make the switch. there is a lot of scepticism, i am travelling l of scepticism, i am travelling over lot in _ of scepticism, i am travelling over lot in myjob and i was in finland a— over lot in myjob and i was in finland a couple of weeks ago, which — finland a couple of weeks ago, which i — finland a couple of weeks ago, which i would have expected to be a _ which i would have expected to be a market ready to transition quickly — be a market ready to transition quickly. but huge scepticism. will this— quickly. but huge scepticism. will this really works, cannot stand — will this really works, cannot stand the temperatures of northern finland, the home ofm — northern finland, the home ofm of_ northern finland, the home of... of santa claus, really cold, — of... of santa claus, really cold, really tough drives, really _ cold, really tough drives, really high vehicle weights, and i— really high vehicle weights, and i understand that. we need to take — and i understand that. we need to take that on, with facts, and — to take that on, with facts, and the _ to take that on, with facts, and the best way to convince customers is as always when something is new, and this is a very— something is new, and this is a very traditional industry, we are used _ very traditional industry, we are used to that, but when there — are used to that, but when there is— are used to that, but when there is something you, let them — there is something you, let

them test. by there is something you, let them test-— there is something you, let them test. j ::,~,:: ., ., them test. by 2030, scania one half the trucks _ them test. by 2030, scania one half the trucks they sell - them test. by 2030, scania one half the trucks they sell to - them test. by 2030, scania one half the trucks they sell to be i half the trucks they sell to be electric, and fully battery operated by 2050, but that is still a long way off. == operated by 2050, but that is still a long way off.— still a long way off. -- wants half. ithink— still a long way off. -- wants half. i think this _ still a long way off. -- wants half. i think this journey - half. i think this journey could _ half. i think this journey could be much accelerated if the legislature would be more active — the legislature would be more active in supporting the change. this is our biggest challenge now. the vehicle is here, what we sit in now is 40 tons, _ here, what we sit in now is 40 tons, it — here, what we sit in now is 40 tons, it is _ here, what we sit in now is 40 tons, it is european long haulage _ tons, it is european long haulage but we are also supplying 60, 64, 74 and 80 tons— supplying 60, 64, 74 and 80 tons trucks. we have spent a lot of— tons trucks. we have spent a lot of time in brussels, in stockholm and berlin to try and convince — stockholm and berlin to try and convince politicians that this is a good _ convince politicians that this is a good thing, this is not just— is a good thing, this is not just for— is a good thing, this is not just for the environment, it is also _ just for the environment, it is also great _ just for the environment, it is also great driver environment. the road — also great driver environment. the road to green tracking is slow. there is still a lot of work to do to manufacturers across the industry trying to convince buyers to make the switch. that was alasdair

keane. and now from heavy goods vehicles to something more nimble. in vehicles to something more nimble. , ., nimble. in some parts of the world scooters _ nimble. in some parts of the world scooters have - nimble. in some parts of the world scooters have alreadyl world scooters have already gone electric, with lightweight bikes and hot swappable batteries making a lot of sense. �* . . sense. but even the electric scooter is — sense. but even the electric scooter is taking a while to l scooter is taking a while to reach everyone. in the meantime nikhil inamdar has been to india to see a bike powered by compressed natural gas. 215 million. that is the number of two wheelers on india's roads. emitting harmful pollutants that are adding to the worsening air quality of its cities. but one company now claims it has a solution. this

is bajaj auto's freedom, the well�*s first motorbike that runs on compressed natural gas, or cng. it is basically a gas thatis or cng. it is basically a gas that is compressed and stored in a cylinder. and it is both cleaner and cheaper than other automobile fuels like petrol or diesel. but cars, trucks and even tuk—tuks have used cng for long but mounting this tank on a two wheeler has been a lot of trial and error. what have been the challenges of this bike? the motorcycle has a very different space, a cng cylinder big, it is heavy and it is of a certain shape. so that has to be integrated and designed to take care of that. just to quickly show you, this is a two kilograms cng cylinder weighs 15 kg, which has been packed into this bike. so you can see

how large this is. along with this, to give the customer reassurance that the customer will never be stranded, there is an auxiliary fuel tank which is an auxiliary fuel tank which is right over here, this is another two litres.- another two litres. ba'a' claims using fl another two litres. ba'a' claims using this i another two litres. ba'a' claims using this fuel“ claims using this fuel effectively harbours the running cost of the motorbike. and it dramatically reduces emissions of several harmful greenhouse gases. despite being fuelled by cng this does feel like writing any other bike. the big question and everybody�*s mind is really the timing of the launch, because this has come into the market when we are all on the cusp of a big revolution. the indian government wants 80% of all two wheelers on its roads to be electric by 2030. is that a

problem? i electric by 2030. is that a problem?— electric by 2030. is that a problem? electric by 2030. is that a roblem? ., , ., problem? i am still saying an electric motorcycle _ problem? i am still saying an electric motorcycle itself - electric motorcycle itself todayis electric motorcycle itself today is impossible. l electric motorcycle itself today is impossible. i caught u . today is impossible. i caught u- with today is impossible. i caught up with someone _ today is impossible. i caught up with someone who - today is impossible. i caught. up with someone who reviews bikes for a living. do you think electric motorcycles will pose a threat to cng bikes? l pose a threat to cng bikes? i think we are to larger country for things to pose a threat to others. i have heard about how... where is the capacity in terms of power, in terms of battery manufacturing, in terms of sales and manufacturing, who will sell them, whereas the infrastructure? it is a cascade of things that have to fall into place first. we are moving into place first. we are moving in that direction but i can very easily argue we are not losing fast enough to meet that goal. losing fast enough to meet that coal. ., losing fast enough to meet that i oal, ., ., �* goal. -- not moving. but they miaht goal. -- not moving. but they might be _ goal. -- not moving. but they might be more _ goal. -- not moving. but they might be more immediate - might be more immediate challenges. long lines like these of cng run tuk—tuks and

taxis are regular site at india's gas stations. but these new bikes to hit the fast lane, fixing these infrastructure gaps will be critical. time for a look at this week's tech news. the uk government has asked phone companies to do their bit in its quest to reduce rising snatch thefts. it wants the manufacturers to make sure the stolen devices can quickly and permanently be disabled so they cannot be reregistered for sale on the second—hand market. telegram has apologised to south korean authorities for its handling of deepfake pornographic material deepfa ke pornographic material shared deepfake pornographic material shared using its messaging app. it says it has removed 25 sexually explicit deepfakes from the platform. this follows the discovery of many cat rooms containing such videos, causing outrage in south korea and the

start of an investigation into telegram by its police force. clearview ai has been fined over 30 million euros by the dutch data protection authority. the dpa says clearview ai scrapes photos from the internet and converts them into biometric data without knowledge or consent of the person in the photograph. clearview ai says the decision is unlawful and they do not have a place of business or customers in the netherlands or the rest of the eu. also in the netherlands, it is claimed that this is the world's strongest land—based crane. unveiled, it is said to be able to lift up to 6000 tons. rats and mice. to some, cute, cuddly pets. to others, a pest that needs to be controlled. in

the uk, reports of rat infestations are at an all—time high. with rodents causing record levels of damage to homes, businesses and even cars. i went along to see how the world's largest pest control company, rentokil, are using tech to fight back. don't worry, no rodents were harmed during the making of this film. sendin during the making of this film. send in the ai. well, this isn't an ai, this is riley from rentokil. but what he is carrying is using ai rentokil. but what he is carrying is using al to detect rat and mice infestations before they begin. the company have developed a new system called pest connect. essentially ai powered

connected cameras, using google powered machine learning and object wrecking to detect rodents. ~ . object wrecking to detect rodents-— object wrecking to detect rodents. ~ ., ., , ., rodents. what we have here is a digital camera _ rodents. what we have here is a digital camera that _ rodents. what we have here is a digital camera that takes - digital camera that takes digital camera that takes digital photographs, but the beauty of this camera in relation to a standard camera is that the ai technology behind it, which allows us to go and check those stills and detect whether we have a rodent in that footage, in that image, it filters out anything that is not a rodent and alerts us and sends us that image of the rodent within the situation. 50 rodent within the situation. so what does technology like this enable you to do that perhaps you would not have been able to do without this kind of device? traditionally a technician would turn up several times a year to do a routine check and that would check every box on site or traditional monitoring devices. that can be quite labour—intensive, and can be intrusive for the customer, quite difficult for us to go and shut areas down. and then when they go away, there is no

more monitoring. you have to rely on them coming back in around six weeks time. essentially this camera is running 24/7 and with the ai technology behind it it gives us that early alert which is what we need to be able to get on top of activity very quickly. on top of activity very quickly-— on top of activity very ruickl . �* ., , quickly. although there is still a need _ quickly. although there is still a need for _ quickly. although there is still a need for pest - still a need for pest control after these cameras, they claim that technology like this can prevent breeding colonies before they are established, reducing the need for rodenticide by up to 40%. it is already being used in large—scale environments where pest control is crucial, such as supermarket warehouses. what we do is we _ as supermarket warehouses. what we do is we partnered _ as supermarket warehouses. mat we do is we partnered with some of the best in the business when it comes to machine learning technology and what it does is it takes a photo using the fir sensor that is triggered by emotion and heat and when it goes up into the cloud it is processed through an imaging processing pipeline we have built and that pipeline

is designed to look for rodents in the photographs, we have trained it to look for all the different features of a rodent and if it does, positively identify a rodent in the photo, that image is sent down from the cloud to colleague apps we have built, we have built an app for our technicians where they can look at the photos from a camera, see the pest activity and then off the back of that determine what they would like to do, how they would like to do, how they would like to do, how they would like to manage the infestation, they can track where a pest has gone through different stages of the image, right through to how big is the infestation.— right through to how big is the infestation. naturally i wanted to see how— infestation. naturally i wanted to see how it _ infestation. naturally i wanted to see how it works _ infestation. naturally i wanted | to see how it works for myself. this is what our technician would expect to see inside the app we have built. these are the photos that have come through and if you positively identify the rodent in the photo, even if the rodent is moving or is quite far away or in the dark we can still detect the activity. in the dark we can still detect the activity-— the activity. what is interesting - the activity. what is interesting here - the activity. what is interesting here is l the activity. what is i

interesting here is we don't need machine learning to tell us the one in the number two box is a mouse we can see that as a mouse, but i guess it is more for perhaps the number one, that is a little bit more obscure, it is a little harder to see, is that where this tech comes into play?— comes into play? exactly, and with cameras _ comes into play? exactly, and with cameras they _ comes into play? exactly, and with cameras they can - comes into play? exactly, and with cameras they can take i with cameras they can take hundreds of photos, so we could be accidentally triggered by light or a change in the environment due to heat for example, what we don't want to do is ask our technicians to go through hundreds and hundreds of photos hermoso using the machine learning to positively identify what is in the photo and filter out the rest of the noise and in the app they can filter across to positive detections and look at only the images with rodents in them. the next stage for this technology is to identify individual species of rodent, and to incorporate other types of machine

he is using a tried and tested and reliable games controller to steer the drone. it is and reliable games controller to steer the drone.— to steer the drone. it is a smaller _ to steer the drone. it is a smaller fishing _ to steer the drone. it is a smaller fishing vote, - to steer the drone. it is a - smaller fishing vote, nothing smallerfishing vote, nothing crazy. it goes pretty fast. it is not that slow. i was swimming seven years of my life, not professionally. i cannot keep up with this. it cannot keep up with this. it can dive to 300 metres and it sends live pictures and

receives steering commands through a 1.5 kilometre long cable and can operate without the cable driving autonomously and avoiding obstacles and mapping its own area, which is no mean feat. it cannot see gps satellites from underwater. our drone is able to map and localise at the same time. when it sees a new — localise at the same time. when it sees a new field _ localise at the same time. when it sees a new field it _ localise at the same time. when it sees a new field it has - it sees a new field it has never seen before, it can generate a map and when the robot returns to that position it can recognise it has been there and brings all the information together. abs, there and brings all the information together. a bit like a vacuum _ information together. a bit like a vacuum cleaner. - information together. a bit - like a vacuum cleaner. exactly. more or less — like a vacuum cleaner. exactly. more or less the _ like a vacuum cleaner. exactly. more or less the same - like a vacuum cleaner. exactly. more or less the same thing i like a vacuum cleaner. exactly. | more or less the same thing but just underwater. 0k. more or less the same thing but just underwater.— just underwater. ok. this ability to _ just underwater. ok. this ability to map _ just underwater. ok. this ability to map an - just underwater. ok. this ability to map an area, i just underwater. ok. this ability to map an area, toj just underwater. ok. this i ability to map an area, to see in poor visibility by using sonaras in poor visibility by using sonar as well as normal cameras plus the option to fit cameras and tools will allow industries

operating in tricky environments to be targeted. oil and gas pipelines, communication cables, maybe even the hulls of ships. these are all areas that are hazardous even to the most highly skilled human divers. i love the fish. it _ highly skilled human divers. i love the fish. it is _ highly skilled human divers. i love the fish. it is another i love the fish. it is another example _ love the fish. it is another example of— love the fish. it is another example of what - love the fish. it is another example of what happens| love the fish. it is another i example of what happens when students meet and study at university, in this case eth in zurich, and then decide to work together to take their research further. who knows what discoveries await this little robot? laughter. ioften discoveries await this little robot? laughter. i often see the occasional wild shopping trolley in a lake, but i rarely see a chair. now, where did i leave my shoes? that is it from us from zurich, which is

looking beautiful today. thanks for watching, and we will see you soon. hello there. before we get to the weekend, friday brought some very big differences across the uk. we had sunny skies in western scotland, and in northern ireland, temperatures reached 27, the hottest it's been all year. it was quite a bit cooler here at the oval for the test match, where we struggled with bad light. doesn't look quite so gloomy for saturday. very misty, murky conditions, though, in bristol, where we've seen rain pushing in earlier on in the night and into south wales as well, with some thunderstorms, too. that's going to be clearing away later, and it's going to be quite a warm start to saturday, muggy as well. and because of that we've got

extensive low clouds, some mist and some fog around for england and wales, so things may improve a little. it may cheer up a bit, but there may not be too much sunshine around, more cloud producing a few showers here and there. looks dry for scotland, northern ireland, sunny for the most part, but that low cloud retreating back to the east coast of scotland keeping it cooler here. but in the sunshine in scotland, and northern ireland temperatures again into the mid—205, and it may warm up where we get a bit of sunshine in east anglia, although not as warm as it was on friday. we've got this area of low pressure is going to bring some wetter weather overnight on saturday night, heavy rain and some thunderstorms, perhaps already arriving during the evening across these southern areas, and that rain will push its way northwards into england and wales. drier for scotland and northern ireland, some clear spells, but also some mist and low cloud, again, filtering through the central belt of scotla nd and lingering along the east coast of scotland. but another quite warm start to sunday. but it comes with a lot of cloud, and we've got these showers, along with spells of rain affecting england and wales. again, it could be heavy and thundery.

a few showers popping up towards the southeast of scotland. otherwise scotland, northern ireland, generally dry but more cloud around, so it's going to be quite a bit cooler, particularly so for northern ireland. if we get a bit of sunshine in the midlands across to lincolnshire, that could pop off a few thundery showers here. now that area of low pressure is going to move away on monday, so it starts to turn drier, but then we change the wind direction. we're going to pick up more of a north westerly wind over the week ahead, and that will make it feel quite a bit cooler as well. now, most of the wet weather next week will be more towards the northwest of the uk this time, the drier weather in the southeast, but those temperatures are going to be lower, perhaps peaking at only 13 or 14 in belfast and edinburgh.

live from washington. this is bbc news. a turkish—american activist is reportedly killed by israeli

army gunfire in the occupied west bank. the us pledges $250 million in aid to ukraine in its fight against russia. and dozens of students are unaccounted for after a fire breaks out at a boarding school in central kenya, killing at least 17. hello. i'm sumi somaskanda. a 26—year—old turkish—american woman has been shot dead in the occupied west bank. aysenur eygi was reportedly taking part in a protest againstjewish settlement expansion in the town of beita. local palestinian media says she was shot by israeli troops, who reportedly fired live rounds, stun grenades and tear gas to disperse the demonstrators. the israel defence forces says it "responded with fire toward a main instigator of violent activity who hurled rocks at the forces and posed a threat to them" in the beita area.

turkey has described her death as �*a murder carried out by the netanyahu government'.