leaders into war? how do we stop killer robots from becoming reality? and can the victims speak louder than the survivors? has there ever been a time when we haven't been at war? battles have been raging down through the ages, over lands, religion, and resources.— the ages, over lands, religion, and resources. every so often a new technology _ and resources. every so often a new technology comes - and resources. every so often a new technology comes along i new technology comes along which gives one side a massive advantage. and changes the shape of war forever. throughout the history of warfare that has been one common thread, and that is it has been people who have made the decisions on who and how to fight. but now we are having to ask the question what would happen if you took the human out of the loop? weapons, guided and driven by artificial intelligence, oh no longer science—fiction. over the next year, the un will discuss whether the development and deployment of this kind of technology should be left unrestricted, regulated or banned. 50 unrestricted, regulated or banned. . unrestricted, regulated or banned, ., ,, unrestricted, regulated or banned. ., ,, ., banned. so far, the us and the uk have opposed _ banned. so far, the us and the uk have opposed binding - uk have opposed binding agreements to regulate or ban the use of so—called killer robots. james clayton reports from silicon valley on the dawning reality that iai researchers say we need to start thinking about today —— ai researchers. start thinking about today -- ai researchers.— ai researchers. the nuclear bomb totally _ ai researchers. the nuclear bomb totally transformed l bomb totally transformed warfare. there are those who now say we are on the cusp of something similar. it now say we are on the cusp of something similar.— something similar. it is a fast track to. _ something similar. it is a fast track to. i _ something similar. it is a fast track to, i think _ something similar. it is a fast track to, i think dystopia - something similar. it is a fast track to, i think dystopia is i track to, i think dystopia is the right word for it. the nation is still recovering from the incident which officials are saying is some kind of automated attack which killed 11 us senators at the capitol ii us senators at the capitol building. 11 us senators at the capitol buildina. �* ., ., ., , , building. autonomous weapons combine different _ building. autonomous weapons | combine different technologies, joints, facial recognition, artificial intelligence and big data to create a sort of super weapon they not only detects and destroys can make that decision itself and can be ironed notjust by states but also by organisations, terrorist groups, anyone. this is the kind of dystopian reality that has been painted by critics, assassinations, private armies of bots, computers deciding whether humans live or die.- computers deciding whether humans live or die. these types of weapons _ humans live or die. these types of weapons that _ humans live or die. these types of weapons that can _ humans live or die. these types of weapons that can be - humans live or die. these types of weapons that can be easily i of weapons that can be easily deployed and moved throughout different environments, like a swarm, embodiments of the robo dog with a machine—gun, and how easy they can proliferate and fall into the hands of not what we think of as traditional military is.— we think of as traditional milita is. , , ., ., military is. this is not about prohibiting _ military is. this is not about prohibiting or _ military is. this is not about prohibiting or banning - military is. this is not about prohibiting or banning ai i military is. this is not about i prohibiting or banning ai usage in the military or even in weapon systems. it in the military or even in weapon systems.- in the military or even in weapon systems. it is about drawin: weapon systems. it is about drawing the _ weapon systems. it is about drawing the red _ weapon systems. it is about drawing the red line - weapon systems. it is about drawing the red line on - weapon systems. it is about drawing the red line on this| drawing the red line on this specific use case of these weapons which other smaller types of systems that target people. types of systems that target eo - le. types of systems that target --eole. ,, . ., , people. even the un secretary general is _ people. even the un secretary general is worried. _ people. even the un secretary general is worried. the - general is worried. the weaponisation - general is worried. the weaponisation of - general is worried. the weaponisation of artificial intelligence is a serious dangen _ intelligence is a serious dan . er. intelligence is a serious danger-— intelligence is a serious dancer. , . , ., danger. on december13 a review of conventional _ danger. on december13 a review of conventional weapons - danger. on december13 a review of conventional weapons are - of conventional weapons are scheduled to be held at the un in geneva, where they will be discussing killer robots. campaigners will be looking for an outright ban. already, that looks unlikely, with the us reportedly saying it would prefer a non—binding agreement. the discussion should be more about how we regulate and how we try to define it and approach it rather than trying to outright banner which is not going to happen. russia, china, us will go after these technologies so they are hoping to avoid being put at a competitive disadvantage at what is looking like a great power, cold war competition over the next 30—50 years. but over the next 30-50 years. but if countries — over the next 30—50 years. but if countries cannot ban killer robots, what will that mean for humanity? it robots, what will that mean for humanity?— humanity? it is a fast track to, i think. _ humanity? it is a fast track to, ithink, dystopia - humanity? it is a fast track to, ithink, dystopia is - humanity? it is a fast track to, ithink, dystopia is the| to, ithink, dystopia is the right word for it. it is a world in which we delegated and relegated a decision to take a human life to algorithms, right? it's not as simple as that. others argue that autonomous weapons are often negatively portrayed. no commander in the world would want to use a weapon system that decided what it wanted to do on any given moment. these are preprogrammed rules, according to preprogrammed rules of engagement, that are legally screened to make sure they meet the requirements of conflict. the machine may make leaner decisions on the rules of engagement which have been preset and preassigned on legal grounds then a stress parliament he was trying to do a million things at once. that made the _ a million things at once. that made the case _ a million things at once. that made the case with _ a million things at once. that made the case with a - made the case with a sophisticated military but that is not necessarily what we're about here. if is not necessarily what we're about here-— about here. if anyone has a ability to — about here. if anyone has a ability to access _ about here. if anyone has a ability to access a - about here. if anyone has a ability to access a type - about here. if anyone has a ability to access a type of. ability to access a type of weapon that can selectively target a group of people, just lay that framing onto all of the types of conflict that we see today. whether we think about conflicts within country, when we think about rogue states, when we think about terrorist groups, when we think about cartels, we think about violent crime. you are giving power, empowering those types of conflicts with a weapon that can target at scale, right? to me, that is a very, very scary future. �* ., ., ., , , me, that is a very, very scary future. �* ., ., ., , future. autonomous weapons are not a distance _ future. autonomous weapons are not a distance possibility. - not a distance possibility. much of the technology to create them already exists and some believe that if humans cannot get together to ban them, it could be one of humanity's greatest mistakes. that was james clayton and i have been speaking to professor stuart russell who warned this week about the dangers of ai —controlled weaponry. the -controlled weaponry. the letter raised _ -controlled weaponry. the letter raised the _ —controlled weaponry. tue: letter raised the possibility of children playing with toy guns, being accidentally targeted by killer robots. he was involved in the original slaughter box short film from 2017 which in itself was shockingly realistic. did you see that? before it was premiered _ did you see that? before it was premiered publicly _ did you see that? before it was premiered publicly i _ did you see that? before it was premiered publicly i showed i did you see that? before it was premiered publicly i showed it. premiered publicly i showed it to some — premiered publicly i showed it to some of my ai colleagues and when _ to some of my ai colleagues and when they— to some of my ai colleagues and when they are watching the ceo of the _ when they are watching the ceo of the arms company demonstrating the capabilities of this— demonstrating the capabilities of this new technology and the kind of— of this new technology and the kind of uses you can put it to, they— kind of uses you can put it to, they thought this was a documentary. they didn't think this was— documentary. they didn't think this was fictional at all.- this was fictional at all. your kids probably _ this was fictional at all. your kids probably have _ this was fictional at all. your kids probably have one - this was fictional at all. your kids probably have one of i kids probably have one of these, right?— kids probably have one of these, riuht? ~ , these, right? when it premiered in geneva. _ these, right? when it premiered in geneva, actually, _ these, right? when it premiered in geneva, actually, at _ these, right? when it premiered in geneva, actually, at the - in geneva, actually, at the negotiations on autonomous weapons, the russian ambassador sort of— weapons, the russian ambassador sort of sneered at this and said — sort of sneered at this and said why— sort of sneered at this and said why are we even discussing this? _ said why are we even discussing this? this — said why are we even discussing this? this is science—fiction, it wont— this? this is science—fiction, it won't be _ this? this is science—fiction, it won't be possible for even 25-30 — it won't be possible for even 25—30 years. three weeks after we premiered the movie, the turkish — we premiered the movie, the turkish arms company stm announced a weapon and advertised capabilities for autonomous hits on humans, face recognition, — autonomous hits on humans, face recognition, human tracking, all of— recognition, human tracking, all of the _ recognition, human tracking, all of the things that the ceo talks— all of the things that the ceo talks about.— all of the things that the ceo talks about. .,, ,., , talks about. those genuine bots exhibit the _ talks about. those genuine bots exhibit the same _ talks about. those genuine bots exhibit the same kind _ talks about. those genuine bots exhibit the same kind of - exhibit the same kind of intelligence and autonomy in the film, i would imagine they were manually controlled and flown into things? you were manually controlled and flown into things?— flown into things? you may think that _ flown into things? you may think that but _ flown into things? you may think that but actually, - flown into things? you may think that but actually, no. | think that but actually, no. they— think that but actually, no. they are _ think that but actually, no. they are fully autonomous and the un — they are fully autonomous and the un has a report, showing that— the un has a report, showing that they— the un has a report, showing that they were actually used autonomously to hunt down retreating troops in libya in march — retreating troops in libya in march 2020. there are many different _ march 2020. there are many different arguments people make _ different arguments people make. one is a moral one, that it is— make. one is a moral one, that it isjust — make. one is a moral one, that it isjust morally unacceptable to turn— it isjust morally unacceptable to turn over to a machine, the decision— to turn over to a machine, the decision to _ to turn over to a machine, the decision to kill a human being. you _ decision to kill a human being. you can— decision to kill a human being. you can basically launch weapons by the million. enough to kill half— weapons by the million. enough to kill half a city. the _ weapons by the million. enough to kill half a city. the bad - to kill half a city. the bad half. ., ,. , ., ., half. the rough description of the mission, _ half. the rough description of the mission, wipe _ half. the rough description of the mission, wipe out - half. the rough description of. the mission, wipe out everyone in the _ the mission, wipe out everyone in the city— the mission, wipe out everyone in the city between the age of 12 and — in the city between the age of 12 and 60. in the city between the age of 12 and 60-— 12 and 60. just characterise him, release _ 12 and 60. just characterise him, release the _ 12 and 60. just characterise him, release the swarm - 12 and 60. just characterise| him, release the swarm and 12 and 60. just characterise - him, release the swarm and rest easy. 50 him, release the swarm and rest eas _ him, release the swarm and rest eas. . ., , easy. so you create this weapons _ easy. so you create this weapons of _ easy. so you create this weapons of mass - easy. so you create this - weapons of mass destruction that— weapons of mass destruction that is— weapons of mass destruction that is more effective than nuclear— that is more effective than nuclear weapons, cheaper, easier— nuclear weapons, cheaper, easier to— nuclear weapons, cheaper, easier to build, easier to proliferate and doesn't really leave — proliferate and doesn't really leave behind a huge radioactive smoking — leave behind a huge radioactive smoking crater. is leave behind a huge radioactive smoking crater.— smoking crater. is the answer to always _ smoking crater. is the answer to always get _ smoking crater. is the answer to always get the _ smoking crater. is the answer to always get the human - smoking crater. is the answer to always get the human in i smoking crater. is the answerl to always get the human in the loop? and is a problem with that which human? t loop? and is a problem with that which human?- loop? and is a problem with that which human? i think the answer is _ that which human? i think the answer is yes. _ that which human? i think the answer is yes. to _ that which human? i think the answer is yes. to disallow - answer is yes. to disallow attacks— answer is yes. to disallow attacks where there is no human supervision, no human looking at the — supervision, no human looking at the actual situation and the actual— at the actual situation and the actual target and saying yes, this is— actual target and saying yes, this is ok, even under the assumption that the machine is programmed by someone who has the best— programmed by someone who has the best legal training and the most — the best legal training and the most humanitarian of aims, even in that— most humanitarian of aims, even in that situation, we face problems of not being able to make — problems of not being able to make the decisions correctly. the problem is the idea of slaughter box, all the bits can be bought in a decent supermarket probably with the exception of the explosives. what do we do? they technically already available and how do you ban them? 50. technically already available and how do you ban them? so, we ban many things — and how do you ban them? so, we ban many things that _ and how do you ban them? so, we ban many things that are - ban many things that are already— ban many things that are already available. the biological weapons, wouldn't be that hard — biological weapons, wouldn't be that hard for someone with the knowledge to create a biological weapon but we still ban them. chemical weapons are widely— ban them. chemical weapons are widely available in industrial products. the companies that make — products. the companies that make them are required to account— make them are required to account for those products, to check— account for those products, to check that— account for those products, to check that their customers are real customers and not fake shell— real customers and not fake shell companies. companies that receive _ shell companies. companies that receive an — shell companies. companies that receive an order for 5 million pod — receive an order for 5 million pod corrupters would have to check — pod corrupters would have to check who is buying the crop duster, _ check who is buying the crop duster, and we can do this in ways— duster, and we can do this in ways that _ duster, and we can do this in ways that will not be perfect but will _ ways that will not be perfect but will prevent the kinds of weapons of mass destruction that— weapons of mass destruction that i— weapons of mass destruction that i am _ weapons of mass destruction that i am most concerned about. hello and welcome to the weekend tech. it was the week better .com ceo had a better day than the 900 he fired over sue. ., , , sue. your employment here is terminated. _ sue. your employment here is terminated. twitter _ sue. your employment here is terminated. twitter closed - terminated. twitter closed thousands _ terminated. twitter closed thousands of _ terminated. twitter closed thousands of state - terminated. twitter closed thousands of state linked l thousands of state linked accounts pushing propaganda and this is nasa's latest artemis astronauts some of whom may take giant steps on the moon. it was also the week instagram announced a new feature helping managing time on the app. parents can see and possibly horrified by the time the children set spend on the app while pencil get there scrolling interrupted by take a break numbers. it comes after linked internal resets blames the app for increased anxiety. researchers from mit have found a new way to exercise the brains and bodies of soft robots inside a computer programme. welcome to the evolution gymnasium, and simulation allowing simulation of algorithms, growing bodies to complete tasks like climbing and flipping and some are evolving like animals. finally, those of other want to swap hands four wheels are in for a treat. that is what research at eth zurich did with this robot, it simply locks its wheels when it simply locks its wheels when it needs to walk but why walk when with a top speed of ia mph, it can really even roll up and down staircases! that is a really good idea! the pandemic came with many challenges but at least for the majority of us, being at home means being in a place of safety, but not for everyone. calls and messages to a domestic abuse charities refuge increase 60% between april last yearin increase 60% between april last year in february this year. some have described the situation as an epidemic beneath a pandemic. this is not an issue in _ beneath a pandemic. this is not an issue in the _ beneath a pandemic. this is not an issue in the uk _ beneath a pandemic. this is not an issue in the uk alone. - beneath a pandemic. this is not an issue in the uk alone. in - an issue in the uk alone. in israel, domestic violence cases between partners quadrupled last year. in between partners quadrupled last ear. ii" ., , last year. in 2019, i was murdered _ last year. in 2019, i was murdered by _ last year. in 2019, i was murdered by the - last year. in 2019, i was murdered by the man i last year. in 2019, i was l murdered by the man who last year. in 2019, i was - murdered by the man who was last year. in 2019, i was _ murdered by the man who was my husband — murdered by the man who was my husband. , ., , ., ., husband. this was from a campaign _ husband. this was from a campaign highlighting - husband. this was from a | campaign highlighting the issue, by giving a voice to those who never got the chance to speak for themselves. irate to speak for themselves. we have been — to speak for themselves. we have been training our deep learning _ have been training our deep learning tools _ have been training our deep learning tools for— have been training our deep learning tools for quite - have been training our deep learning tools for quite a . have been training our deep i learning tools for quite a long time — learning tools for quite a long time on — learning tools for quite a long time on hundreds— learning tools for quite a long time on hundreds of- learning tools for quite a long. time on hundreds of thousands of faces— time on hundreds of thousands of faces and _ time on hundreds of thousands of faces and videos _ time on hundreds of thousands of faces and videos so - time on hundreds of thousands of faces and videos so it - of faces and videos so it really— of faces and videos so it really understands - of faces and videos so it i really understands really, really _ really understands really, really well _ really understands really, really well how _ really understands really, really well how faces - really understands really, i really well how faces move. really understands really, - really well how faces move. it is able. — really well how faces move. it is able, when _ really well how faces move. it is able, when you _ really well how faces move. it is able, when you give - really well how faces move. it is able, when you give it - really well how faces move. it is able, when you give it a - is able, when you give it a video— is able, when you give it a video of— is able, when you give it a video of someone - is able, when you give it a video of someone moving | is able, when you give it a - video of someone moving their face, _ video of someone moving their face, to— video of someone moving their face, to transfer— video of someone moving their face, to transfer all— video of someone moving their face, to transfer all that - face, to transfer all that movement, _ face, to transfer all that movement, to - face, to transfer all that movement, to a - face, to transfer all that movement, to a still- face, to transfer all that i movement, to a still image face, to transfer all that - movement, to a still image and it understands— movement, to a still image and it understands whether- it understands whether different _ it understands whether different markers - it understands whether different markers on i it understands whether. different markers on the it understands whether- different markers on the face are, — different markers on the face are, and _ different markers on the face are, and what— different markers on the face are, and what will— different markers on the face are, and what will look- are, and what will look realistic, _ are, and what will look realistic, and - are, and what will look realistic, and it- are, and what will look realistic, and it is- are, and what will look| realistic, and it is very, are, and what will look- realistic, and it is very, very skilful— realistic, and it is very, very skilful at _ realistic, and it is very, very skilful at taking _ realistic, and it is very, very skilful at taking every- realistic, and it is very, very skilful at taking every little i skilful at taking every little gesture, _ skilful at taking every little gesture, every— skilful at taking every little gesture, every little - skilful at taking every little gesture, every little blink. skilful at taking every little i gesture, every little blink and adding — gesture, every little blink and adding it _ gesture, every little blink and adding it to— gesture, every little blink and adding it to that _ gesture, every little blink and adding it to that new- gesture, every little blink and adding it to that new image. i gesture, every little blink and i adding it to that new image. we were _ adding it to that new image. we were able — adding it to that new image. we were able to _ adding it to that new image. we were able to take _ adding it to that new image. we were able to take videos - adding it to that new image. we were able to take videos of- were able to take videos of things. _ were able to take videos of things, famous— were able to take videos of things, famous actresses l things, famous actresses speaking, _ things, famous actresses speaking, bringing - things, famous actresses speaking, bringing their. things, famous actresses - speaking, bringing their story to life. — speaking, bringing their story to life. and _ speaking, bringing their story to life, and allowing - to life, and allowing technology, - to life, and allowingi technology, allowing to life, and allowing - technology, allowing our technology _ technology, allowing our technology to _ technology, allowing our technology to transfer i technology, allowing our technology to transfer to technology, allowing our- technology to transfer to their actual — technology to transfer to their actual image _ technology to transfer to their actual image so _ technology to transfer to their actual image so it— technology to transfer to their actual image so it appeared i technology to transfer to their| actual image so it appeared as though— actual image so it appeared as though they— actual image so it appeared as though they were _ actual image so it appeared as though they were telling - actual image so it appeared as though they were telling their| though they were telling their own story _ the shocking murder of michal saylor shook israel in 2019. her husband was found guilty of stabbing her to death in front of her young daughter. her case is not an isolated one. t of her young daughter. her case is not an isolated one.— is not an isolated one. i spoke to her sister, _ is not an isolated one. i spoke to her sister, who _ is not an isolated one. i spoke to her sister, who has - is not an isolated one. i spoke j to her sister, who has become is not an isolated one. i spoke l to her sister, who has become a leading voice in raising awareness for domestic abuse in israel, setting up a charity hoping to use technology to save the next murder victim. after it happened i have so many — after it happened i have so many questions. how come it happened to us? how come i didn't— happened to us? how come i didn't see _ happened to us? how come i didn't see anything? why didn't she share — didn't see anything? why didn't she share nothing with me? what was she _ she share nothing with me? what was she going through? the biggest _ was she going through? the biggest question, could we have saved _ biggest question, could we have saved her, could she be with us today? — saved her, could she be with us toda ? �* , ., saved her, could she be with us toda ? . , ., ., saved her, could she be with us toda ?�* ., ._ today? and you have actually taken your— today? and you have actually taken your grief _ today? and you have actually taken your grief to _ today? and you have actually taken your grief to start - today? and you have actually taken your grief to start a - taken your grief to start a charity and help raise awareness, haven't you? the first time _ awareness, haven't you? the first time i— awareness, haven't you? the first time i heard _ awareness, haven't you? the first time i heard her - awareness, haven't you? the first time i heard her idea, to take — first time i heard her idea, to take my— first time i heard her idea, to take my sister's picture, and make — take my sister's picture, and make her— take my sister's picture, and make her alive, take my sister's picture, and make heralive, iwas take my sister's picture, and make her alive, i was shocked, i make her alive, i was shocked, i was _ make her alive, i was shocked, i was like. _ make her alive, i was shocked, i was like, my god. it is too hard — i was like, my god. it is too hard but— i was like, my god. it is too hard. but then i thought again, and i_ hard. but then i thought again, and i thought, you know what, you are — and i thought, you know what, you are a — and i thought, you know what, you are a genius. this is what the world _ you are a genius. this is what the world needs, the world needs— the world needs, the world needs to be shocked. what do ou ho -e needs to be shocked. what do you hope to — needs to be shocked. what do you hope to achieve _ needs to be shocked. what do you hope to achieve overall? i needs to be shocked. what do l you hope to achieve overall? my vision is zero femicide per year. — vision is zero femicide per year. an— vision is zero femicide per year, an ecosystem of hundreds of thousands of start—ups to save — of thousands of start—ups to save lives _ of thousands of start—ups to save lives of women in their own— save lives of women in their own homes. so we can beat this, we can— own homes. so we can beat this, we can combat domestic violence with technology, innovation, humankind, we have solved much other— humankind, we have solved much other problems than this. now, man of other problems than this. now, many of us _ other problems than this. now, many of us may _ other problems than this. now, many of us may feel _ other problems than this. now, many of us may feel quite - many of us may feel quite uncomfortable when we have to uncomfortably walk home alone, especially after dark, so shona mccallum has been taking a look at some of the latest technology to help keep us safe. , ., , technology to help keep us safe. , . , ., safe. there is always that thou . ht safe. there is always that thought at _ safe. there is always that thought at the _ safe. there is always that thought at the back - safe. there is always that thought at the back of. safe. there is always that l thought at the back of your mind, will i get home safe tonight? between leaving your friends and opening your front door, there might be a time you are travelling alone. we might call our mum, share our location on what's up, or have our keys to hand, anything to make us feel safer. —— whatsapp. but i am interested to find out, is there something better? one in three women in the world experience violence at some point in their lives, and even more say they have been harassed or felt unsafe. we have experiences being followed, we have cut calling, and we receive unwanted attention. we did see flashes quite frequently on our school run. , . , ~ ., run. experiences like that led mckay to _ run. experiences like that led mckay to create _ run. experiences like that led mckay to create walksafe, i run. experiences like that led l mckay to create walksafe, and “p mckay to create walksafe, and up to help in the out a safer return. ., ., ., return. so we have got our walksafe _ return. so we have got our walksafe map, _ return. so we have got our walksafe map, you - return. so we have got our walksafe map, you and i l return. so we have got our. walksafe map, you and i are return. so we have got our- walksafe map, you and i are on our way home. what i can do is, i can have a look at our roots, i can have a look at our roots, i can have a look at our roots, i can zone out here, and as you can see, it shows me where all the recent data use, so that is a recent pickpocketing. this has been a where an assault has taken place. has been a where an assault has taken place-— has been a where an assault has taken place. looks like someone we would want _ taken place. looks like someone we would want to _ taken place. looks like someone we would want to avoid, - taken place. looks like someone we would want to avoid, right? l we would want to avoid, right? the app also has a feature called tapsafe, where you tap your phone to alert your friends orfamily that your phone to alert your friends or family that you feel under threat. but friends or family that you feel under threat.— friends or family that you feel under threat. but some might feel having — under threat. but some might feel having this _ under threat. but some might feel having this kind - under threat. but some might feel having this kind of - feel having this kind of information in your pocket could make you more paranoid. looking around this park, it is lovely, and yes, ifeel looking around this park, it is lovely, and yes, i feel pretty safe. butjust a couple of hours later... and in the dark, things feel pretty different. and if you are getting assaulted, it is perhaps unlikely that you would reach for your phone and bring up a safety app. so i've travelled to the university of bath to meet the team developing a smartwatch up that senses by monitoring heart rate and body motion to send an automatic alert if you are under attack. —— smartwatch app. t alert if you are under attack. -- smartwatch app.- alert if you are under attack. -- smartwatch app. i often feel scared when — -- smartwatch app. i often feel scared when i _ -- smartwatch app. i often feel scared when i am _ -- smartwatch app. i often feel scared when i am out _ -- smartwatch app. i often feel scared when i am out walking l -- smartwatch app. i often feel| scared when i am out walking or running alone. so when i saw that, apple watches were being used to detect heart attacks, had a kind of lightbulb moment and i thought, maybe this could be applied to women safety. but as the team _ be applied to women safety. but as the team have discovered, it is difficult to simulate distress.— is difficult to simulate distress. ~ ., , distress. we looked at loads and loads — distress. we looked at loads and loads of _ distress. we looked at loads and loads of police - distress. we looked at loads and loads of police reports l distress. we looked at loads i and loads of police reports and loads and loads of cctv footage of people being attacked and we tried to find things that were common among them, and we saw the struggling motion the pushing motion, that kind of change from being very regular and repetitive to something that was erratic. so and repetitive to something that was erratic.— that was erratic. so they created _ that was erratic. so they created a _ that was erratic. so they created a test _ that was erratic. so they created a test which - that was erratic. so they - created a test which allowed them to create the data to train an algorithm which could recognise similar events. 26 -lus recognise similar events. 26 [us 58. recognise similar events. 26 plus 58. this _ recognise similar events. 26 plus 58. this smartwatch i recognise similar events. 26 l plus 58. this smartwatch tech is an early _ plus 58. this smartwatch tech is an early development, - plus 58. this smartwatch tech is an early development, but| plus 58. this smartwatch tech | is an early development, but if the team managed to crack it, it could be something we see being used by women in the future. the be safe app for smartphones is similar to. by]!!! smartphones is similar to. fill guardians alerted. smartphones is similar to. all guardians alerted. the - smartphones is similar to. all guardians alerted. the idea i smartphones is similar to. all guardians alerted. the idea is an emergency _ guardians alerted. the idea is an emergency alarm - guardians alerted. the idea is an emergency alarm is - guardians alerted. the idea is. an emergency alarm is activated by your voice, and automatically starts livestreaming video and audio to your chosen contacts and records what is happening. the company believes these recordings could be used in evidence in court cases, which are often hard to prove. making women safe on our streets should be a priority for all of society, and what is clear is that this huge problem cannot be solved by technology alone. but what i have discovered is that tech could have a role to play in addressing some of the fears that women feel in their journeys home. for years, efforts at developing autonomous systems have focused on replicating the human brain through machine learning stop but one uk—based start—up thinks there may be a better model, the honeybee. engineers at opt around think nature has already solved autonomy, and they have been researching the brains of honeybees to derive algorithms to teach robots and drones collision avoidance. honeybee is a fabulous visual navigator, they can understand the world they are in over 20, the world they are in over 20, the radius, they can fly point—to—point and return to home, and they can share information with other bees in beehive. and then those bees can go to that location. that is exactly what robots need to do. we have robots in warehouses that need to move around and get to certain locations, and then come back, and do that dynamically without bumping into other things or if the environment changes. we have the same in with drones, doing inspections. self balancing autonomous bicycles navigating around the streets. essentially what is happening is that machines need to move more naturally.— more naturally. the system enables drones _ more naturally. the system enables drones and - more naturally. the system enables drones and robots l more naturally. the system | enables drones and robots to take panoramic views of the world around them, just like an insect word. then, like a honeybee, the sensing technology calculates the optic flow across the field of vision, considering any obstacles and taking action to avoid collisions. the system has already been tested on drones and a robot dog named hopper. drones and a robot dog named ho er. ., ., , drones and a robot dog named ho er. ., ~' , ., drones and a robot dog named houer. ., ~' , ., hopper. nature likes to solve thins in hopper. nature likes to solve things in the _ hopper. nature likes to solve things in the most _ hopper. nature likes to solve things in the most simple - hopper. nature likes to solve | things in the most simple way possible. it stops you from having to do a lot of computation you didn't need to do. one of the ways it does thatis do. one of the ways it does that is and how it perceives the world. every animal that we know of that uses vision to navigate works out of the motion of the world around it, we call it optical flow. that is exact lee how our technology works. �* _, , is exact lee how our technology works. �* _. , works. and the company claims that basing _ works. and the company claims that basing algorithms - works. and the company claims that basing algorithms on - that basing algorithms on insect brains could be a more efficient way of creating ai. importantly, it would also be a more affordable method for lower cost robotic applications, and that is the market that opteran is targeting. market that opteran is targeting-— market that opteran is tarttetin. . ., ,, targeting. the current approach to ai is fundamentally - targeting. the current approach to ai is fundamentally flawed i to ai is fundamentally flawed because it is based on a caricature of how real brains work. it is kind of a tiny piece of the puzzle but has just been scaled up and applied to lots of different data with lots of computing power, that means it is very fragile. it doesn't work the way real brains work and it is very opaque. we don't really understand what it is doing half the time. and that is not a good enough solution for autonomous systems. nature has come u- autonomous systems. nature has come up with — autonomous systems. nature has come up with a — autonomous systems. nature has come up with a weird _ autonomous systems. nature has come up with a weird and - come up with a weird and wonderful ways of doing things that humans could never figure out, so maybe there is a lot more technologists can learn from the other creatures around us. that's it from us for this week. as ever, you can keep up with the team on social media, find us on youtube, instagram, facebook and twitter at bbc click. thanks for watching, and we'll see you soon. bye bye. hello. a big change in the feel of the weather through this weekend with some milder air spreading from the west. but with that, a fair amount of cloud, some mist, and murk and hill fog and some outbreaks of rain at times. on the earlier satellite picture, a slice of clear sky, and where that clear sky remains, quite a cold start to saturday morning. the coldest weather of the whole weekend, in fact. out west, more cloud, and with that some milder weather, which is slowly but surely going to crawl its way eastwards through the day. so, temperatures in eastern parts starting the day below freezing, western areas well above. belfast at six, plymouth at eight degrees, and as we go through the day, the milder but cloudier and wetter conditions will work eastwards. so early sunshine in eastern scotland, eastern england, that won't last long, things will tend to cloud over. briefly a bit of sleet and snow over high ground in scotland. but as you can see, it will turn back to rain because as this wet weather continues to track eastwards, it will introduce ever milder conditions. so 12 degrees for belfast, for cardiff, for plymouth, just six in aberdeen, seven in norwich. but actually, as we go through saturday night, we will bring that milder weather further eastwards. whereas we normally expect temperatures to drop through the night, they won't across some eastern parts of england, for example, ending the night at 10 degrees in norwich and hull, five there in aberdeen, very mild out towards the west. all the while some cloud, some outbreaks of rain, some clear spells across the northern half of the country. then through sunday, again, there's going to be quite a lot of cloud. that cloud producing some outbreaks of rain at times, especially through northwest england, northern ireland, up into southwest scotland. some brighter glimpses here and there and a very, very mild afternoon, eight to m degrres. now, we have to keep a close eye on developments during sunday night, because this small but potent weather feature is expected to pass closer to the far northwest, a deepening area of low pressure. that is set to bring some very strong winds across parts of northern ireland, but perhaps most especially in exposed parts of western and northern scotland, particularly for the western and northern isles, there could be some really quite stormy weather for a time. we will keep you posted on that one throughout the weekend. into next week, it stays relatively mild. a bit of rain around for a time, perhaps settling down later in the week. welcome to bbc news. i'm simon pusey. our top stories: british scientists warn that vaccines do little to prevent the latest variant of omicron. the wikileaks founder julian assange can be extradited to stand trial in the us, according to the latest legal ruling in britain. the us supreme court leaves a controversial texas law banning most abortions in place. president biden says he's "very concerned". mike nesmith — singer and guitarist with the �*60s band band the monkees — has died at the age of 78. and we'll meet the woman behind some of netflix's most binge—worthy original programming.

Related Keywords

Situation , Government Minister , Biden , Variant , Protection , Abortion Laws , Supreme Court Decision , White House , Place , Thatjulian Assange , Law Bans Abortions , Pregnancy , Abortion Providers , Legislation , High Court , Texas , London , Six , Way , Founder , Charges , Trial , Documents , Assurances , Leaking , United States , Wikileaks , Washington , Supporters , Safe , It S Time , Bbc News , War , Reality , Killer , Victims , Survivors , Haven T , Battles , Technology , Resources , Religion , Resources , Ages , Advantage , Side , Lands , One , People , Decisions , Warfare , History , Thread , Shape , Weapons Of Mass Destruction , Artificial Intelligence , Question , Human Out Of The Loop , Kind , Development , Un , Science Fiction , Deployment , 50 , Binding Uk , Researchers , Uk , Killer Robots , Use , Dawning Reality , Agreements , Unrestricted , James Clayton , Silicon Valley , Iai , Ai , Something , Bomb , Cusp , Ai Researchers , Dystopia , Attack , Word , Senators , Fast Track , Saying , Nation , Incident , Officials , Capitol Building , Capitol Ii , 11 , Decision , Technologies , Sort , Super Weapon , Building , Facial Recognition , Joints , Capitol Buildina , Big Data , Anyone , Terrorist Groups , Assassinations , Organisations , Critics , Notjust , Humans , Types , Weapons , Swarm , Bots , Computers , Environments , Armies , Embodiments , Robo Dog With A Machine Gun , Die , I Military , Milita , Hands , Military Is , It , Weapon Systems , Target , Systems , Red Line , Weapon Systems , Use Case , Red , Usage , Drawin , Eo Le , Eole , Secretary General , Intelligence , General , Weaponisation , Danger , Er , Weaponisation General , In Geneva , Dancer , Dangen , December13 A Review Of Conventional Danger , Serious Dan , December13 A Review Of Conventional Weapons Danger , December13 , Campaigners , Ban , Discussion , Agreement , Banner , China , Disadvantage , Russia , Ithink , Power , Countries , Competition , It Robots , Dystopia Humanity , Cannot Ban Killer Robots , Cold War , 30 , World , Algorithms , Human Life , Others , Weapon System , Rules Of Engagement , Commander , The Machine , Conflict , Requirements , Preassigned On Legal Grounds , Things , Case , Stress Parliament , A Million , Weapon , Ability , Wall , Country , Type , Conflicts , Type Of , Group , Framing , States , Crime , Cartels , Scale , Possibility , Some , Distance , Much , Future , Stuart Russell , Humanity , Dangers , Mistakes , Weaponry , Letter , Children , Tue , Toy Guns , Slaughter Box Short Film , 2017 , Ceo , Capabilities , Ai Colleagues , Colleagues , Uses , Arms Company , Documentary , Kids , These , Ambassador , Negotiations , All This , Riuht , Fiction , Movie , Won T , Turkish , Turkish Arms Company Stm , Three , 25 , Talks About , Human Tracking , Talks , Face Recognition , Recognition , Autonomous Hits On Humans , Autonomy , Film , Report , Arguments , Troops , Libya , March 2020 , 2020 , It Isjust Make , Machine , Human Being , It Isjust , Isjust , Him , City , Mission , Everyone , Half , Description , Age , In The City , 60 , 12 , Crater , Build , Doesn T , Eas , Easy , Answer , Human , Problem , Attacks , Crater Smoking , Loop , Answerl , Human Supervision , T Loop , Human Smoking Crater , Someone , Training , Most , Assumption , Idea , Problems , Aims , Humanitarian , Bits , Slaughter Box , Wouldn T , Supermarket , Explosives , Exception , Companies , Products , Knowledge , Them , Shell Companies , Customers , Order , Account , Pod Corrupters , Crop Duster , Pod , 5 Million , Ways , Kinds , Duster , Ways Duster , Twitter , Employment , Sue , Hello , 900 , Smartwatch , Thousands , Feature , State , Astronauts , Accounts , Instagram , Steps , Propaganda , Nasa , Artemis , Moon , Resets , Numbers , Pencil , Parents , Brains , Robots , Simulation , Bodies , Computer Programme , Mit Have , Anxiety , Evolution Gymnasium , Eth Zurich , Wheels , Robot , Research , Animals , Tasks , Climbing , Treat , Want , Four , Speed , Staircases , Ia Mph , Pandemic , Safety , Majority , Challenges , At Home , Abuse , Charities , Calls , Messages , Epidemic , Issue , Partners , Domestic Violence , Cases , Israel , Oman , Tools , Husband , Learning , Voice , Campaign , Who , Chance , Ear Ii , 2019 , Video , Faces , Videos , Face , Hundreds Of Thousands Faces , Hundreds , Video Of , It A , Deep , Image , Gesture , Markers , Blink , Movement , Little , Are , Skilful , A Face , Allowingi Technology , Life , Speaking , Actresses , Story , It Technology , Their , Daughter , Murder , Death , Stabbing , Front , Michal Saylor , Sister , Awareness , Charity , T , Murder Victim , Didn T She Share , Anything , Nothing , Biggest , Questions , Didn T , Time , Grief , Haven T You , Toda , Help , Raise , Picture , Iwas Take My Sister , God , Make Heralive , I Hard , Vision , Needs , Genius , Ecosystem , Zero , Women , Save , Homes , Humankind , Lives , Ups , To Save Of Thousands , Look , Home , Many , May , After Dark , Shona Mccallum , Friends , Making Women Safe , Door , Ht Safe , Mind , Back , Technology To Help , Location , Safer , Feel , Hand , Mum , Keys , Whatsapp , Experience , Point , Violence , Women In The World , Felt Unsafe , Experiences , School Run , Attention , Led Mckay , Run , Cut Calling , You Return , Roots , Map , Walksafe Map , P Mckay To Create Walksafe , Our , Mckay To Create Walksafe , Il Return , Assault , Looks , Pickpocketing , Data Use , Threat , Phone , Family , Called Tapsafe , Information , Friends Orfamily , Pocket , In The Dark , Ifeel , Yes , Butjust , Team , Smartwatch Up , Safety App , University Of Bath , Automatic , Walking , Body Motion , Alert , Walking L , Heart Rate , Women Safety , Heart Attacks , Lightbulb , Watches , Apple , Loads , Distress , Motion , Police Distress , Police Reports , Police , Cctv Footage , Test , Change , Data , Algorithm , Which , 26 , Smartwatch Tech , App , Plus 58 , 58 , 26 Us 58 , Smartphones , Guardians , Emergency Alarm , Emergency , Contacts , Audio , Company , Streets , Recordings , Court Cases , Records , Evidence , Tech , Society , Priority , Role , Human Brain , Journeys , Efforts , Machine Learning Stop , Nature , Honeybee , Engineers , Start Up , Model , Drones , Navigator , Honeybees , Collision Avoidance , Radius , Point To , 20 , Bees , Locations , Warehouses , Beehive , Environment Changes , Bumping , Happening , Inspections , Self Balancing , System , Machines , Insect Word , Views , Optic Flow Across The Field Of Vision , Sensing Technology Calculates , Robot Dog , Collisions , Action , Obstacles , Robot Dog Named Hopper , Lot , Thins , Hopper , Computation , Simple , Houer , Animal , Technology Works , Works , Insect Brains , Optical Flow , Market , Targeting , Opteran , Applications , Method , Cost , Approach , Lots , Computing Power , It Doesn T , Caricature , Puzzle , Piece , Tarttetin , Autonomous Systems , U Autonomous Systems , Solution , Technologists , Facebook , Creatures , Social Media , Youtube , Bbc , Watching , Bye , Thanks , Cloud , Weather , West , Mist , Air , Murk , Fog , Hill , Amount , Rain , Outbreaks , Times , Weekend , Sky , Start , Satellite Picture , Slice , Remains , Fact , Out West , Temperatures , Areas , Freezing , Conditions , Bit , Ground , Wetter , Sleet , Snow , Eastern Scotland , Belfast , Plymouth , Eastern England , Cloud Over , Eight , Saturday Night , Norwich , Aberdeen , Cardiff , Seven , Example , Spells , Eastern Parts , Northwest England , Sunday , Hull , 10 , Five , Weather Feature , Developments , Glimpses , Eye , Up Into Southwest Scotland , M Degrres , Sunday Night , Northern Ireland , Parts , Pressure , Area , Winds , Northern Scotland , Western , Northern Isles , Stories , Scientists , Vaccines , Simon Pusey , Julian Assange , Law , Abortions , Omicron , Ruling , Us Supreme Court , Very Concerned , Band , Programming , Guitarist , Singer , Woman , The Monkees Has , Mike Nesmith , Netflix , 78 ,