in north america and around the globe. my name's mike embley. of the russia investigation. law enforcement official. but then clashes with reporters at an ill—tempered press conference. cnn should be ashamed of itself having you working for robert mueller‘s russia investigation. them. you are a rude, terrible person... by the trump campaign can continue. but her whereabouts are unknown. the house of representatives in the mid—term elections. with their parents two days after being kidnapped. the republican—controlled senate against them. in a bad—tempered news conference, he also clashed with reporters.

with her family. but a government spokesman has denied she had left the country. now it's time for click. this week: artificial law enforcement official. intelligence creating jobs. creating robert mueller‘s russia investigation. trends? and — scoring runs. ai. that's what the future is about, if you believe the hype.

even we hadn't thought of. ai is at the top of the agenda. able to do things that were once only the reserve of humans. it is learning to drive, to play games. it has learned to paint. it has learned to understand what we say. where we take a piece of human ability and defeat it with machine. ‘96 it was chess, go, last year — and we all worry. good and superhuman in tasks that we can specify and understand. they can improve and self

improve. much more difficult. that was originally given to the system. in particularjobs. we will talk more about that later. where ai is actually creating jobs. it needs to have access to loads and loads of data. where all the objects in them are correctly tagged. that work is being done by humans.

but where the artificial intelligence journey really starts. this is the kibera slum in nairobi, kenya. more than 1 million people live here. from the lush campuses of silicon valley. how are you? hello! wave of cutting edge tech as anyone you could meet in california. you have your brother living here? yes, my brother, my daughter and my mum. are they all supported by you? yes. they are supported by me. who has lived in kibera her entire life. that is going to change the future?

it feels so good. at least you get to do something unique from others. for something that is go to help me. in the future. on the other side of nairobi. poorest parts of the world. in some cases, that means those who are earning less than $2 a day. is to give artificial intelligence its intelligence. when artificial intelligence works, it sometimes feels like magic. but really, what it is is data, lots and lots of data. you have to feed it loads of pictures of people.

of pictures of trees. data is created. or annotate, items of interest. right. from the street to the vehicles, the buildings, even to the sky. right. how is that? that's good. is that good? not quite right? not quite right. laughter. the item needs to be squarely inside that box. if we zoom in... turns out no pixel can be out of place, or unaccounted for. everything needs tagging. it is up to scratch.

such as shopping vouchers. driving cars to online shopping. types of clothing. campus, complete with subsidised food. can typically rule you out from having a career. he will support his family. her family and the extended family. and allow them to work as well. in san francisco's mission district.

for it was a wonderful idea, but it would never work. reasons why tech firms come to them. are desperate for work. in the world. can they not afford to pay more than $9 a day for this work? that they are paid a living wage. in which our workers live and thrive. income by over

500%. at a location within the slum. but it is a starting point for much better things. it has changed my — everything. there is hope beyond just living here. at a good place. so it has improved your quality of life? it has improved, sure. and safe and protected. the products they

create. time, but at least what is happening, is education. trainers, they are getting ai experts. hello and welcome to the week in tech. macbook air and mac mini. oh, sorry! when a fault was identified that made them fall out of the sky. dji said it was thoroughly reviewing reports of power issues.

in the company. it's chief executive, sundar pachai has said... as an autonomous mail delivery robot is tested on streets. to 100 people per day. from its robotic guts. hmmm. cold? cooks pizza on the go injust seven minutes. but is an autonomous chef really crustworthy?

to aid accessibility. what is around them, so it's basically object recognition. two faces, you can point it that way. there you go. three faces. people like me. spencer, 2 feet away. two faces. it's also describing me when it says two faces. don't tell anyone. handwriting and text as well. probably a close—up of a cell phone. ai — maybe it should stand for assistive intelligence. that's what this guy thinks.

on the technology. when we don't know what to do and i think that is the best description. is it is the opposite of natural stupidity. quickly and looking smart? capability.

is all of this became data. the world became data. to look very smart and intelligence. you've got pretty high standards, i like that. that is actually artificially intelligent? and like humans do, and do so in the face of uncertainty. and do things like one—shot learning, instant learning. to react to things they encounter. that is the kind of thing that i want to see. do we have anything like that? no, and i don't think they have even achieved that.

to all kinds of stimuli. in a real world. and that has led to intelligence. even the smallest creatures have intelligence. learning. what is yourjob? it is the cto of ai, i know. no, not yet. it's called assistive intelligence.

is enabling humans to be far more empowered in area action. and it's actually not that different from any technology. the mobile phone empowers people. of extending human reach. to work in the world they will grow into? creative work. the sort of things that only humans can truly do. innovation. standing on the shoulders of giants and reaching for something new. and more ai now.

the cricketer‘s favourite weapon. we sent cricket crazy david reid to mumbai. it is too small for my big head. turns out you weren't? this is me discovering that with batting. how it was done. to this sweet spot here.

power bat. spektakom. it is hidden under the bat. the velocity as well. is hitting in approximation to that all—importa nt sweet spot. to calculate the power. it is essentially the energy you get into the shot. 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. in real time data? all data runs to a device hidden behind the stumps. this is how the professional system works. to stumpy, the stump bot buried underground. from the top of the pitch. does its work.

league, calling out bad on—field umpiring decisions. closer to emulating their heroes. what is the benchmark for him to achieve? can you emulate him? can you do that? that is something you can do. anil let me bowl him out. yes, it was fake 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 mumbai. apart from me, fortunately.

of the future. the fashion world moves fast. week to stay up—to—date with the latest trends. of clothing every year. 5 billion t—shirts. to reduce fashion waste. 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.

of the clothing items. fashion trends six months in advance. that they are clicking on.

in the next season. of the outfit. all this data is then analysed to show trends based on region. so 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 over blue. totally. no more blue.

this is what is going to be on trend the next season. that's all changed. it's no longer brand—centric, its consumer—ce ntric. we as consumers are setting the trends. limiting the creativity of designers? to experiment with exciting new styles. and i will be completely on trend? i have all the information. looking

sharp, emily. emily bates in tokyo. that is it this week. don't forget, we are all the social media. click. and don't forget our youtube channel. guess what? bbc click. we will see you soon. hello there. into wednesday morning. on some of the roads there.

but there will also be further rainfall. central portions of the uk. now, the winds are falling light ahead of that. a chilly start. and scotland, there might even be a touch of frost. but these are towns and city values to begin this morning. through the morning. clearing away into the north sea. ireland. plenty of sunshine to start the day across the south—east.

into wales, and then into northern england into the afternoon. it should stay dry. again, with temperatures reaching 1a or 15 degrees in the south. set to bring us a spell of gales and heavy rain. areas through friday. to your bbc local radio for the latest updates on this. is going to start fine. breezy, yes, but there'll also be some sunshine around. as we head on towards the afternoon. over hills, we could be looking at 60 to maybe 70 mph.

1a or 15 degrees. like we maintain low pressure nearby. of this mild air over the near continent. will always be across the south and the east.