and used to enhance his status here. and everything that has happened in the last couple of weeks with the poisoning in salisbury, the retaliation by moscow to the sanctions announced by theresa may last week, the russian response coming yesterday, just before the election. he is standing up as the strongman for russia. and the person who has changed russia, it has developed an enormous lot since he came to power at the end of 1999. whyatt let's catch up with some weather. darren has the latest on the snow. it will gradually turn milder but we are not yet finished with the snow. we still have some mornings from the met office, an amber warning to the south—west of england, devon and cornwall, with snow expected to continue into the early hours of the morning. quite heavy snow over the hills. snowy gci’oss heavy snow over the hills. snowy across the south—west, like patches now coming in a cross of them

southern counties over england overnight, the showers further north become fewer and a lot of places become fewer and a lot of places become drier but it's still cold, temperatures widely below freezing could be icy conditions as well but a much try a day on the way, any snow gci’oss southern a much try a day on the way, any snow across southern england tending to retreat towards the channel islands, any snow coming out of the clouds further north you and far between and for most of us some sunshine, that will be a welcome change. those temperatures get a bit ofa change. those temperatures get a bit of a welcome boost, for 5 degrees, still cold but a trend that will continue through the rest of the week. gradually milder, day on day, and instead of snow we are more likely to get some rain. the latest headlines. the foreign office has dismissed claims that the nerve agent used to target the former russian spy in salisbury could have come from the nearby porton down research laboratory. snow and ice continue to cause disruption to road, rail and air travel in parts of the uk. some police forces are

advising motorists to avoid nonessential travel. a man's been arrested on suspicion of attempted murder after a car was driven into a nightclub in gravesend, in kent. 13 people have received treatment for injuries. mps are asking facebook for an explanation, after accusations that profiles were used without users' permission, by a firm employed by donald trump's election campaign. now on bbc news, it's time for click. this week, we are looking at the future of work. but whichjobs will go to the robots? stock pickers? nurses? mine? file footage: mr victor sherlock

of horsham has got a robot at the bottom of his garden and he's trying to teach it how to mow the lawn. artificial intelligence. everyone's talking about it. over the years, we've seen it develop, we've seen it evolve. oh, yes! this is the watson that wonjeopardy. we have travelled the world to see ai that tries to treat cancer... it studies millions, or tens of millions, of examples from the whole assemblage of scientific literature. ..predict crime, understand the economy... show me companies with revenue between $25 million and $60 million. ..and save the world. so it might not yet have conquered diy...

it is doing it — it's got the screw in. ..but we keep hearing how ai will change everything. technology will make man the more intelligent form of expression. however, it's the bad side of these algorithms that always seems to get the headlines, the fear that tireless robots infused with artificially intelligent brains may one day do us all out of ourjobs. with interaction, with use, with feedback, it actually gets progressively smarter. from bots that can talk like us.... from bots that can talk like us... you want me to help you reset your sap password? ..walk like us, and even, perhaps, think like us. we have been warned that the fourth industrial revolution is coming. the biggest difference between this and the industrial revolution in the 1800s is the speed.

millions of workers are on the move. so, what is going on? whatjobs are really at risk? what is the future of work? and we start with healthcare workers. for almost 70 years, the uk's national health service has been a free service at the point of care. but that model is under strain as the population ages, chronic health conditions increase and resources shrink. a recent study by the royal college of physicians showed that almost two thirds of doctors think that patient safety has deteriorated, with one doctor saying "we are not robots. we are human staff with limits." but should the nhs be turning to robots to ease the strain on its human staff? jen copestake has been looking at how data—driven technologies could transform care in the nhs.

could artificial intelligence help save the nhs? more people are looking at innovative ways to ease the workload of doctors and nurses. computer programmes can rapidly analyse huge quantities of information in ways humans don't have the time or brain capacity to do. in 2016, click filmed google's deepmind at moorfields eye hospital. they were developing an algorithm to identify abnormalities in eye scans. now it has submitted its findings to a medicaljournal for review. it could mean its systems are more effective than humans at diagnosing eye disease. deepmind taught its machine—learning software using a million eye scans. i'm going to see three other projects integrating data collection and artificial intelligence for monitoring, automation and decreasing waiting times. dementia is now the leading cause of death in the uk. at the manor hospital in coventry,

software is being tested to remotely monitor patients on its dementia ward. this is one of the rooms on the ward. it looks like any other hospital room, except in this one there are two infra—red illuminators and an optical sensor monitoring my movements, including when i'm asleep. 0xehealth uses a standard digital camera and the tongue—twisting science of photoplethysmography. every time your heart beats, your skin briefly flashes red. we can't see this but the sensor in the camera can detect these so—called microblushes. it even picks up my vital signs when i am hiding under a table in the room as the microblushes can still be seen on my arm. there is an alert if i leave my bed... announcement: 0xehealth alert. ..and the nurses can click on a live feed to see what is happening and determine whether they need to come and check on me right away. for the staff, initially, when we were having what looked like a camera put in a box in a room, they were

not happy about it. but when we actually spent some time with 0xehealth, they've explained to them and they see how it's working, they love it. they love the fact that it's giving you an extra — an extra support. the project is in the pilot stage and is awaiting medical certification. the data collected is being analysed remotely by a team in oxford and will be used to train the programme to be more predictive. we've never had this capability as a species, to constantly get heart rate, breathing rate, activity and routine data. there's no reason, as we combine, we fuse the data using artificial intelligence that we can't detect the onset of dementia or even it getting worse. we can see a world where we detect problems earlier, so you can stay in your own home or in the setting you're most comfortable in without being — coming into hospital. and that will save a huge amount of time. saving critical time was the motivation behind automating processes at nhs blood and transplant. 11,500 people receive a transplant each year,

but 6,500 are on the list. every day, three people die waiting for a transplant. a lot of information needs to be sorted through to make life—or—death decisions. the nhs is now using public cloud technology from ibm to help maintain huge databases that used to be managed with a marker and whiteboard. by working with some of this automated technology, we can ensure that we are making the best possible decisions and that our clinical teams are really thinking through the best clinical outcomes for all of the patients on the transplant waiting list, and that our staff, who are often working at 2:00 or 3:00 in the morning in a highly pressurised environment, needing to allocate those organs quickly, are supported by the technology that they use. the collecting all this personal data has led some to ask if it is stored securely enough. one of the challenges we have in the public sector is a perception that maybe the public cloud isn't as secure as on—premises data centre, which actually is not the case. so we have an obligation, obviously,

to many, many customers to ensure that the public cloud is kept secure and it's patched and it's maintained effectively. the fallout from it not being in that condition obviously is quite severe. in the future, the team hopes that artificial intelligence will be able to predict how long people will be on the waiting list for an organ. there is an average waiting time of two weeks to see a doctor in the uk. this can come down to two hours if you register with gp at hand. you can sign up if you live or work within certain zones of central london. you have to give up your regular practice doctor and register with gp at hand's remote surgery. 26,000 people have registered so far. i had a chance to test it out, pretending i had a case of food poisoning. first, i went through a triage with a chat bot on the app, who recommended i speak remotely to a real—life human doctor. the doctor recommends further care and can even send

a prescription to a pharmacy. the artificial intelligence in the app draws on billions of data points and can cross reference the latest medical research from journals and studies around the world. we use our artificial intelligence to tell you whether you need to see a doctor or not. of course, you're always free to choose to see a doctor anyway, but what we find is that 40% of the people will get reassured and understand what disease they have and what actions they need to take, and stop there. but the app has faced criticism from the royal college of gps, who say that younger users are being cherry—picked for the service. nhs england lodged a formal objection to the apps planned roll—out beyond london. whenever anybody comes up with a great, exciting idea, they're desperate to see it rolled out everywhere. what i would say is we need to give patients safe care, fair care, and equitable care. if we roll things out too quickly without ensuring that safety and fairness,

we run the risk of causing unintended harm. so it is wise and sensible that independent evaluations are now going on of these new technologies, so that patients can be reassured that they are safe and that they are fair for everybody. i think it's wrong. i genuinely think that the slowing down what people want, it's just not right. i cannot understand why people are hesitant. but often, it's because they're scared of new technology. they do not know what the consequences are. and that's right. they need to check that and reassure themselves. there's nothing wrong with that. i've seen three ways companies are working with data to help with monitoring, automation and decreasing waiting times — all areas that could help an overstretched health service. could artificial intelligence help save the nhs? artificial intelligence is a really exciting development worldwide but never more so than in healthcare, and there are certainly some things that al can help us with — to plough through the masses of data that we already have and provide answers to the questions we didn't even know needed answering. but let's be clear, al's never going to replace that person—to—person interaction. that touch of a doctor to examine somebody, that looking deep into somebody‘s

eyes and recognising that physical, social and psychological make—up of the person is what really matters, notjust their bleeding leg or their headache, it's much more than that and ai will be a very long time before ai comes close. do you think it ever will? i will be stunned if, in my lifetime, ai ever replaces a doctor. that wasjen, and although we're seeing to see automation creep into the skilled workforce, we most often think of it as working in the low—skilled sector, where the jobs are very, very repetitive. but what about places in the world where they still have a ready supply of relatively low—skilled, but cheap human workers? you'd expect countries like china, for example, to be able to hold back the robot tide longer than most. well, not so. we sent danny vincent to a warehouse owned by the giant chinese online retailer alibaba. this is a 3,000 square

metre warehouse. it's part of an operation that sorts and delivers 55 million packages a day that are shipped to over 200 countries around the world. products are packed and sorted here, usually by dozens of workers. but recently, they had some new recruits. 148 automated guided vehicles navigate the floors of this warehouse. these agile bots can communicate with each other to avoid collisions and distribute the work amongst themselves — a bit like their human counterparts, who still take on the final stages of processing. li yan is a 28—year—old worker from south—western china. herjob now is, in part, done by these machines. she followed a family tradition of migrating thousands of miles to find better—paid work.

translation: it saves me from walking to every shelf to pick up the goods. now ijust need to stand at the pick—up platform to wait for the robots to send me the goods. i don't have to constantly walk here and there. they are part of a data system collecting information notjust about their environments, but also the sales patterns — understanding what sells more regularly, rearranging where products are placed, shaving off valuable minutes from overall delivery time.