will be breezy but not as windy as further west and it will be mild. into saturday evening it will be the central slice of the country that will continue to see outbreaks of rain, so for fireworks displays in cardiff and perhaps edinburgh are likely to see some rain. rain tending to clear away from belfast, london mostly dry, mild for all and quite windy as well. deeper into saturday night, into sunday morning, that front will fizzle away. it will be some clear spells either side, but minimum temperatures 8— 11, considerably more mild that has been of late. this is the weather set—up going into sunday morning, still with this slow—moving weather front providing rain across some central parts of the uk, the rain quite light and patchy initially and picking up later in the day across the south—west, particularly as a new area of low pressure spins inwards. elsewhere there will be some spells of sunshine, still windy in the north—west but not as windy as it will have been on saturday, temperatures still doing 30 well for this time of year, 11— 1a.

the new week, most of the rain will be found in western areas, more dry weather further east, it will be often windy and it will stay mild. this is bbc news. the headlines: the us is reimposing all sanctions on iran that were lifted under the 2015 nuclear deal. the measures, which the white house say are the toughest ever imposed, target the country's energy, shipping and banking sectors and will come into effect on monday. with just four days to go until the us midterm elections, former president barack obama has

warned against rhetoric he said was designed to sow fear. president trump repeated his hardline anti—immigration message. control of congress and many state governorships are at stake. pakistan authorities have reached agreement with protesters who've been demonstrating against the acquittal of asia bibi, a christian woman sentenced to death for blasphemy. under the agreement, aasia bibi will be barred from leaving the country, but it's unclear for how long. now on bbc news, click. this week. artificial intelligence. creating jobs. creating trends? and, scoring runs. ai. that's what the future is about,

if you believe the hype. computer programmes that learn from past experience, that improved and that sometimes, learn to solve problems in ways that even we hadn't thought. —— thought. well, here at microsoft, future decoded events, ai is at the top of the agenda. these days our —— there are very real example is that ai are starting to do things that we re ai are starting to do things that were once reserved for humans. it is learning to drive, to play games. it has learned to paint. it has learned

to understand what we say. each ten year all so we seem to have a breakthrough moment where we take a piece of human ability and feed it with machine. 96 it was chess, and we all worry. what that is demonstrating is that our ai's are extraordinarily good and superhuman in tasks that we can specify and understand. they can improve and self improve. the challenge is this whole idea of general intelligence or transfer of cross tasks and that cruise much more challenging, much more difficult. we think it will ta ke more difficult. we think it will take many decades to unfathomable at an the old adage was, you cannot teach a machine to do sentiment programming, but if you have a learning capacity in the system that allows it to go beyond the performance that was originally given to the system. and it is certainly true that al is already replacing us, in particularjobs. we will talk more about that later. but

we thought we would start with an interesting phenomenon and which is happening in certain parts of the developing world, where ai is actually creating jobs. see, developing world, where ai is actually creatingjobs. see, in orderfor actually creatingjobs. see, in order for artificial intelligence to learn in esat access to loads and loads of data. for example, self driving cars need access to images are all the objects in them are correctly tag. at work is being done by human. —— that work. david lee said this work, not from california, but where the artificial intelligence journey really starts. —— sent. this is a slum in nairobi, kenya. more than 1 —— sent. this is a slum in nairobi, kenya. more than1 million people live here. i am 10,000 miles in what feels like an entire universe away from the lush campuses of silicon valley. how argued? hello! the people i am here to meet are every bit as vital to the next wave of

cutting edge tech than anyone you could meet in california. you have your brother living here? yes, my brother and my mum. are they supported by you ? brother and my mum. are they supported by you? yes. this is brenda, a 26 robert single mother, who has lived here her entire life. how does it feel to be creating the technology that is to change the future? it feels so good. at least you get to do something unique from other is. at least with my work that iam doing, other is. at least with my work that i am doing, i work for something thatis i am doing, i work for something that is go to help me. not even me in the future, but it will help someone in the future, but it will help someone in the future. every workday, brenda travels for around two hours to a building on the other side of nairobi. she is among a team of around 2000 people who work in this building for an organisation that recruits people from the very poorest parts of the world. in some

cases, that means those who are earning less than $2 a day. here, they earn around $9 a day and there are important job is they earn around $9 a day and there are importantjob is to give artificial intelligence its intelligence. when artificial intelligence. when artificial intelligence works, it sometimes feels like magic. but really, what it is is data, lots and lots of data. if you want a self driving car to know what the person is, you have to know what the person is, you have to feed it loads of pictures of people. if you want to know what tree is, it takes millions and millions of pictures of trees at. that is what is called training data and it is here where that data is created. so, depending on the instructions, we are going to basically tag, or annotate, instructions, we are going to basically tag, orannotate, i instructions, we are going to basically tag, or annotate, i didn't —— identification of interest. from the street to the vehicles, the buildings, even to the sky. right. that's good. is that good? not quite right. not quite right. laughter.

the item needs to be squarely inside that looks. turns out no pixel can be out of place, or unaccounted for. sky and the street signs, the pedestrians and wanes, everything these tagging. 0nce pedestrians and wanes, everything these tagging. once the work is done, a supervisor will check it is up done, a supervisor will check it is up to scratch. the quickest, sharpest annotators in the team will win prizes such as shopping vouchers. includes as google, ebay, yahoo! and others working on everything from self driving cars to online shopping. 0ne everything from self driving cars to online shopping. one recent project from microsoft's habitat being search engine helped it become better at identifying certain types of clothing. building in many respects feels like a typical silicon valley campus, complete with subsidised food. 52% of employees here are women in a country where having a child can do that the rule you out from having a career. like a lot of people say, if you have a man

in the workplace, you will support his family. if you have a woman, she was what her family and extended family. seat actually have a lot more impact from women and allow them to work. while most of their employees are of course in the developing world, the company ‘s headquarters can be found in san francisco's mission district. when i first started this business ten yea rs first started this business ten years ago, very smart people in the tech world and the world of philanthropy for it was a wonderful idea but could not work. shootouts are companies record on quality and security, reasons why technology firms come to them. but of course, there is a very obvious reason why these tasks are outsourced to places where wages are rock bottom and people are desperate for work. some of your clients are the biggest, richest companies in the world. can they not afford to pay more than $9 day for this work was mac we make a

guarantee to every single worker that they are paid a living wage. if we we re that they are paid a living wage. if we were to pay people substantially more than that in front of the market, we were very everything off and it would have a potentially negative impact on the cost of housing, the cost of food, et cetera. so, for us, we are on average, increasing our workers household income by over 500%. that impact can be seen right in the heart of the city, where lessons in basic digital cr run by the company ata basic digital cr run by the company at a location within the slum. are people who take these jobs often do it for only a couple of years, but it for only a couple of years, but it isa it for only a couple of years, but it is a starting point for much better things to. it has changed my, my everything. it has changed my perspective, it has exposed me to see beyond just living here. i was

living in such houses but right now iam living in such houses but right now i am living at the place. so it has improved your quality of life? i am living at the place. so it has improved your quality of life ?m has improved, sure. i think improved your quality of life ?m has improved, sure. ithink there is an obvious moral obligation that the companies that offer this work make sure the workers are valued and safe and protected. ithink sure the workers are valued and safe and protected. i think we have a moral obligation as well, as the people who enjoy the products they create. because ai is not going to be seen in a place like this for quite sometime, but at least what is is education. from what i have seen, kenya isn't just getting is education. from what i have seen, kenya isn'tjust getting ai trainers, they are getting ai experts. hello and welcome to the week in tech. it was the week that apple will nearly sent us to sleep when it announced new superexpensive, great big ipad pro, betterspec

announced new superexpensive, great big ipad pro, better spec macbook airand big ipad pro, better spec macbook air and macbook mini. sorry. uk police in the west midlands grounded its own drones when a fault was identified that made them fall out of the sky. ai said it was thoroughly reviewing reports of power issues. and google staff across the world have staged a massive walk out over lenient treatment of sexual misconduct allegations in the company. it's chief executive has said... norway's postman pat may soon be out ofa norway's postman pat may soon be out of a job. as an autonomous mail delivery robot is tested on streets. the droid can travel around six qantas per hour and a mail to 100 people per day. unfortunately it won't fit the post through your letterbox, instead and at tells the

recipient to retrieve an item from its robotic darts. and finally, tired of ordering delivery and your food arriving cold ? tired of ordering delivery and your food arriving cold? this machine, made by toyota and pizza hut, looks pizza hut on the go in just seven minutes. so it will be fresh and hotter on arrival, but is an autonomous chef really trustworthy? the power of ai is increasingly being harnessed to create tools to aid accessibility. here is an act which helps users with visual impairment to work out what is around them so is basically object recognition. two faces, you can point it that way. there you go. free places. you can even programme and to recognise individual people like me. spencer, to beat away. two faces. is also describing me when it

says two faces. don't tell anyone. it is still under development at this app does to objects, handwriting and text as well. probably a close—up of a cell phone. a eye. maybe it should stand for assistive intelligence. that's what this guy thinks. josie ‘s —— joseph is the microsoft chief intelligence officerfor ai and is the microsoft chief intelligence officer for al and i is the microsoft chief intelligence officerfor ai and i caught up with him fora officerfor ai and i caught up with him for a refreshingly honest take on the technology. someone once said to me that intelligence is what we use when we don't know what to do andi use when we don't know what to do and i think that is the best description. my favourite definition of artificial intelligence is it —— if it is the opposite of natural stupidity. what is artificial intelligence and what is just data crunching, just looking at lots of historical data and processing it really quickly and looking smart?

these days, when computer scientists adopted learning from data, they are crunching taxed and translating it, they are crunching all your input and doing speech recognition, they are crunching in majors and recognising things in it so all of that now gives a perception of humanlike capability. but it really still at the end of the day is data crunching, just different kinds of data and in the last ten, 20 years as mobile phones came and cameras became incredibly cheap and everything became digital, this was not the case is all of this became data. the world became dater. so now, when you do crunching on that, well then, it's hard to look very smart and intelligence. you got pretty high standards, i like that. what would a system had to be able to do for you to say that is actually artificially intelligent? to be able to do really compaqs reasoning with it, and like humans do, and do so in the face of

uncertainty. and do things like one—shot learning, instant learning. i have to see a thing only one time andi i have to see a thing only one time and i know what it is and i know how to react to it and even the smallest of living things seems to know how to react to things they encounter. that is the kind of thing that i wa nt to that is the kind of thing that i want to see. do we have anything like that? no, and don't think they have even achieved that. we have the computational power to simulate murals systems but we haven't figured out how an ant navigates in the world and really survives in an uncertain environment and reacts to all kinds of stimuli. creatures that live on the planet have evolved over billions of years and not through teaching, not through ai, they have evolved in a real world. and that has led to intelligence. even the smallest creatures have

intelligence. i think when i see something like that starting to emerge, maybe then i will start believing in the spectre of artificial intelligence but until then, it is software and artificial learning. what is yourjob? it is the cto of ai, i know. as one of the trends to recognise the limits of ai and say no, not yet. it's called assistive intelligence. ai is most powerful when it is augmenting humans and what we are enabling, the power of all our devices, whether it be mobile phones, it, the cloud, algorithms, is enabling humans to be far more empowered in area action. and it's actually not that different from many technology. the mobile phone empowers insanity waves. ai is technology which adds to that, layers on top of that and in terms of extending human reach. what sort

of extending human reach. what sort of things should today's children be studying in order to work in the world they will grow into? creative work. the sort of things that only humans can truly do. innovation. really, the history of humanity is about leveraging technology, standing on the shoulders of giants and reaching for something new. that wasjoseph surosh. and more ai now. as sports go, cricket has been an earlier doctoral technology with an armoury of hi—tech tools for umpiring but now former indian captain has come up with a technology that could give fans an insight into what is happening with the cricketer‘s favourite weapon. we sent cricket crazy david reid to mumbai. it is too small for my big head. you know the way you remember you are good at something and it turns out you weren't? this is me discovering that with batting.

luckily indian cricket legend anil kumble was on hand to realise how it was done. the most important thing is that speed and how much twist at the time of impact and how quality the time of impact and how quality the shot is, close to this sweet spot here. that speed, is and how close you are to the sweet are now measurable thanks to new artificial intelligence technology, powerbat. it is being developed by anil kumble's company, spektakom. it is hidden under the bat. this is a cluster of sensors, you have a bluetooth area, but also gyro sense of which ms is the twist of that. the velocity. there is also a sense of vibration so you can detect where the ball is hitting in approximation to that all—importa nt the ball is hitting in approximation

to that all—important suitespot. the sticker sends those measurements for the speed, the twist, the quality of the speed, the twist, the quality of the shot and they are being combined to calculate the power. it is essentially the energy you get into the shot. the system aims to take fa ns the shot. the system aims to take fans watching the game up close to what's happening on the pitch. the first use is to enhance fan engagement. everybody talks about timing of the shot. this was powerfully hit. this was sweetly banged. what is that all mean in real time numbers, in real time dater? the amateur version of powerbat communicates directly to a mobile phone via bluetooth but because you can't carry a mobile in professional games, with the pro— set up, all dater runs to a device hidden behind the stumps. this is

how the professional system works. the data comes from a tag on the back of a bat and then comes to stumpy, the stump baht buried underground. you can see the antenna, the spit will be poking out from the top of the pitch. the data is sent down the cable to the cloud we re is sent down the cable to the cloud were an algorithm does its work. the pro— power bat might end up being used by umpires, especially for broadcasters now are using it in the indian professional league, calling out bad on field umpiring decisions. the mobile app is more about cricket fa ns the mobile app is more about cricket fans and amateur players getting closer to emulating their heroes. for the fan out there who wants to look up to his hero, what is the benchmark for him to achieve? can you emulating? can you be as close to power that he can deliver, can you do that? that is something you can do. at the end of the day, i polite arrangement, anil kumble let me bowl them out. yes, it was baked

by the got first ball. it felt great. watch this for a second. see, all you needed was just one ball. that was david reid in maugham buyer. well, with all had our embarrassing fashion moments back in the day but apart from me fortu nately. the day but apart from me fortunately. emily has been looking how ai may be picking the fashion faux pas of the future. the fashion world moves fast. but some high street stores changing their collections every week to stay up—to—date with the latest trends. here in the uk, except estimated with right over 300,000 tons of clothing every year. that's 1.5 clothing every year. that's1.5 billion t—shirts. but the clothing industry is now looking to ai

billion t—shirts. but the clothing industry is now looking to al to reduce fashion waste. many companies are now using artificial intelligence to predict what consumers will be buying in the future, the herd being this knowledge will cut down on garment production that won't sell, thereby reducing waste. and of course, increasing profits. but can technology really predict the intricate world of style? fashion pocket from japan certainly hope so. so this is the system where we are collecting all the clothing information from all of the world and by accessing different media, e—commerce sites, which shows quite a few different trends depending on the people, and we already collected more than 25 million from the pieces of pictures so that we can analyse the global trend of the clothing items. by drawing all this data in,

fashion packet say they can predict fashion trends six months in advance. knowing the future of fashion can produce —— reduce waste bya fashion can produce —— reduce waste by a hopefully making sure that the garments that are actually produced our garments that people want to buy, that they are in line the trends, with the feeds that people are looking at, that they are clicking on. basically using this information like a process, based on those trend analyses, our customers, client companies, are coming up with what kind of clothing items are going to put in the next season. the ai system detects the colour, shape, pattern and size of the clothes in the images and also the overall combination of the outfit. all this

data is then analysed to show trends based on region. said this is going up. there wasn't much purple and now purple is on the rise. purple tops now. yes, exactly. especially in japan. people don't wear blue. but they used to. but they are rover blue. totally. no more blue. so historically it would have been the brands dictating what the fashion trends up the next season so the designers would be doing 0liver research and be going on inspiration trips, they would be product —— be putting products onto the catwalk and that would be putting their sta ke and that would be putting their stake in the ground and say in this is what is going to be on trend the next season. that's all changed. it's no longer brand centric, its consumer centric. we as consumers are setting the trends. will it end up are setting the trends. will it end up being a self—fulfilling prophecy, limiting the creativity of designers? it will certainly be a

designers? it will certainly be a designers time when you can look back to how much time they would have to spend research in a collection, as opposed to now how they can use their time or creatively to experiment with exciting new styles. seek and tell me what i should buy for six months from now in the uk and i will be com pletely from now in the uk and i will be completely on trend ?|j from now in the uk and i will be completely on trend? i have all the information. looking sharp, emily. emily bates in tokyo. that is if this week. don't forget, we all the social media. we live on facebook and twitter at bbc click and instagram at bbc click and forget youtube channel. youtube.com/...guess what? we will see you soon. after very quiet and chile into the

working week, the weekend is looking different. it will be quite windy, not all the time. as you look at saturday mornings weather chart, you can see the rain eventually sinking its way down to north—west england and the western side of wales. with that, it will be windy, the strongest winds across the far north—west. for north—east scotland, eastern and central england, dry with some sunshine. yes, it will be windy but also mild, to bridges of 14 windy but also mild, to bridges of 1a or 15 degrees. to go through saturday night, this rain continues to the bits wavered with further east, is then away in many areas through the early hours of sunday morning. some clear spells to the south—east in the north—west but a

very mild night in prospect. into sunday, still some rain particularly across south—west part of the country. not as windy saturday but still miles. welcome to bbc news, broadcasting to viewers in north america and around the globe. my name is lewis vaughanjones. our top stories: president trump hits the campaign trail ahead of tuesday's midterm elections — amid claims social media's being used to spread fake news discouraging democrats from voting. donald trump warns iran to prepare for sweeping new sanctions — sounding the death knell for diplomacy and the 2015 nuclear deal. following mass protests in pakistan, a christian woman cleared of blasphemy charges could be banned from ever leaving the country. and why did this paraplegic athlete end up dragging himself along the floor at a uk airport? ifi if i didn't have my wheelchair, my legs have been taken