Cirque du Click

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:00:00. > :00:00.50. India are currently under and 65 41 32 overs. That is a you'll spot

:00:00. > :00:11.for now. We will happen more in the next hour. Thank you, Holly.

:00:12. > :00:12.Headlines at the hour. Next up, Click.

:00:13. > :00:56.With hardly any rail alternative, the traffic here drives

:00:57. > :01:05.It's led some of the bigger thinkers to suggest radical alternatives.

:01:06. > :01:09.Electric car and space travel guru Elon Musk has even

:01:10. > :01:15.He envisions an Asimovian network of car and passenger carrying tubes

:01:16. > :01:25.Meanwhile back in the almost real world of Marina del Rey,

:01:26. > :01:33.Two electric cars that belong to a whole apartment block.

:01:34. > :01:36.Envoy operates a closed car share system.

:01:37. > :01:39.The vehicles can be booked out by residents only and used for up

:01:40. > :01:46.Now this is not a car that you would use to drive to work

:01:47. > :01:48.and back because you'd end up paying for and hogging it

:01:49. > :01:52.This is much more a car that you would use for convenience,

:01:53. > :01:55.popping out for the occasional errand.

:01:56. > :01:57.We believe that if it's a two car household we can

:01:58. > :02:04.Experts say that for every shared car it takes 11 off the road.

:02:05. > :02:06.So we are working with developers on communicating that

:02:07. > :02:09.with policymakers in the city, saying if we include car sharing

:02:10. > :02:11.within communities, we should be able to reduce our parking

:02:12. > :02:17.Envoy is just starting out and hopes to roll out into new areas

:02:18. > :02:20.in Southern California and then new cities across the US

:02:21. > :02:26.And further into the future, Aric would like to see shared

:02:27. > :02:37.vehicles available wherever there are large groups of people.

:02:38. > :02:40.Now for some, this kind of thing is going to be an interim stop

:02:41. > :02:42.before we get to fleets of self-driving vehicles

:02:43. > :02:44.cruising the streets, picking us up whenever we want

:02:45. > :02:52.Ride sharing company Uber has been in the news recently -

:02:53. > :03:04.Its founder and boss Travis Kalanick has resigned after coming under

:03:05. > :03:06.pressure from investors following a flurry of public

:03:07. > :03:08.controversies including complaints of sexual harassment and bullying

:03:09. > :03:12.Kalanick's departure comes after the dismissal of 20 staff

:03:13. > :03:14.who've been fired as a result of the scandals

:03:15. > :03:21.Whilst Uber's corporate culture may be in disarray,

:03:22. > :03:25.it is pressing ahead with an ambitious tech project.

:03:26. > :03:27.If you've used a ride sharing app before you know the drill.

:03:28. > :03:33.You have an app on your smartphone, you push a button and a car arrives,

:03:34. > :03:35.and it behaves very much like a taxi.

:03:36. > :03:37.But, here in Arizona, if you push that button there's

:03:38. > :03:40.a good chance the car that will arrive will be

:03:41. > :03:49.The sunny university city of Tempe, Arizona is one of two locations

:03:50. > :03:52.including Pittsburgh in Pennsylvania that Uber is testing a fleet

:03:53. > :03:58.A host of sensors including lidar and cameras have been fitted

:03:59. > :04:04.The sensors become the cars eyes on the road, informing systems that

:04:05. > :04:07.drive the car as well as trying to predict the actions of other road

:04:08. > :04:22.All things which humans take for granted but are difficult

:04:23. > :04:29.I'm taking a ride in a self-driving car.

:04:30. > :04:31.There are however two guys in the front seat.

:04:32. > :04:35.So in the driver's seat here I am monitoring

:04:36. > :04:39.I am still technically a driver, being that this vehicle has to be

:04:40. > :04:45.In event that the car does not know how to react to,

:04:46. > :04:53.So you are the safety driver if you like?

:04:54. > :04:58.Now you are the safety laptop operator?

:04:59. > :05:06.So what are you doing here with a laptop?

:05:07. > :05:10.From the laptop I can monitor a lot of the prediction software so I can

:05:11. > :05:13.see where the car is going, where the car wants to go,

:05:14. > :05:15.so this is all feedback which goes directly to all the engineers

:05:16. > :05:18.and they are able to interpret what's going on and improve

:05:19. > :05:21.So what you're hearing, the car is determining it

:05:22. > :05:23.wants to change lanes, but other vehicles around us

:05:24. > :05:26.are too close so it decides against it and stays in lane.

:05:27. > :05:28.Now you see it just change lanes there.

:05:29. > :05:30.Over the course of our ride, the driver does take

:05:31. > :05:33.control for a short time, but the majority of the ride

:05:34. > :05:40.Uber doesn't publicise how often the human drivers takeover however.

:05:41. > :05:42.It's not been plain sailing for this project.

:05:43. > :05:45.In January, one of the autonomous cars here in Phoenix

:05:46. > :05:49.Nobody was injured but a self-driving car was left

:05:50. > :05:56.And a pilot testing programme in San Francisco was called

:05:57. > :05:59.to a halt after a row with the California Department

:06:00. > :06:03.of Motor Vehicles over permits for autonomous cars.

:06:04. > :06:06.On top of all that, Waymo, the self-driving car company owned

:06:07. > :06:10.by Google's parent firm Alphabet, has accused Uber of

:06:11. > :06:18.Uber denies using or receiving stolen technology.

:06:19. > :06:24.Thankfully back in Arizona, my ride continues without incident.

:06:25. > :06:26.I'm in a robot car essentially, that's like something

:06:27. > :06:35.Because the car is driving itself without any hassles.

:06:36. > :06:43.And Uber isn't alone when it comes to self driving testing.

:06:44. > :06:45.The state of Arizona is very accommodating,

:06:46. > :06:48.allowing self-driving cars from Waymo, Ford, General Motors

:06:49. > :06:54.We're several years away from fully autonomous cars taking

:06:55. > :06:57.to the highways yet, and it seems that the road to fully

:06:58. > :07:04.self driving vehicles is still a bumpy one.

:07:05. > :07:07.Some American freeways have carpool lanes which you can only use

:07:08. > :07:09.if you are carrying more than one person in the car.

:07:10. > :07:14.The idea is those lanes at least are travelling at a decent speed.

:07:15. > :07:17.Well now they are also planning similar lanes for autonomous

:07:18. > :07:25.vehicles and they are calling them hyper lanes.

:07:26. > :07:28.This system will be controlled by a central computer and will whizz

:07:29. > :07:33.self-driving cars along at speeds of over 100 miles an hour.

:07:34. > :07:36.You would use access stations in your local

:07:37. > :07:39.neighbourhoods and once you enter the station your car will start

:07:40. > :07:41.driving itself and they will launch them onto a hyper lane.

:07:42. > :07:45.After that point the car would be able to drive itself and you can

:07:46. > :07:52.just sit back and sip your coffee and check your phone.

:07:53. > :07:56.The plan is to use existing highways to create these hyper lanes.

:07:57. > :07:59.Customers would pay surge pricing in order to ease congestion

:08:00. > :08:03.and arrive at their destinations as quickly as possible.

:08:04. > :08:06.There are also plans to use the service for parcel delivery

:08:07. > :08:14.However, to put even a test version of this in place

:08:15. > :08:18.is going to cost $12 million - per mile.

:08:19. > :08:21.So from the time being it looks like autonomous cars

:08:22. > :08:31.are going to be stuck in traffic with the rest of us.

:08:32. > :08:34.It's time for this week's tech news and boy, what a week.

:08:35. > :08:36.You thought Google Glass was dead, but it's not.

:08:37. > :08:39.It released its first update for three years.

:08:40. > :08:42.A US official from the Department for Homeland Security said this week

:08:43. > :08:44.that Russian Hackers targeted election systems in 21 states

:08:45. > :08:51.And Netflix has announced two interactive TV shows

:08:52. > :08:57.They said it was designed for kids but come on, that looks fun.

:08:58. > :09:01.And could we soon be seeing the Queen in a G-Whiz?

:09:02. > :09:05.But the Queen's Speech outlined plans for petrol stations around

:09:06. > :09:09.It's part of a government plan to push more electric

:09:10. > :09:14.And more news from the UK's roads this week.

:09:15. > :09:16.Driverless cars are being given the green light to begin

:09:17. > :09:20.A collaboration between Jaguar Land Rover, Ford

:09:21. > :09:23.and Tata Motors has been showing off how autonomous cars can talk

:09:24. > :09:28.together to provide real-time traffic information.

:09:29. > :09:31.And what if you could tackle a Mario level while out and about?

:09:32. > :09:34.One man has done just that, creating a Super Mario Brothers

:09:35. > :09:38.level in an augmented New York Central Park.

:09:39. > :09:42.He created the whole thing for the Microsoft HoloLens,

:09:43. > :09:51.which unfortunately isn't yet available for the general consumer.

:09:52. > :09:54.The abundance of everything here in the US is evident,

:09:55. > :09:58.and it's thanks in no small part to having one of the best

:09:59. > :10:01.educated and most skilled workforces in the world.

:10:02. > :10:04.And it is from right here that the XPRIZE

:10:05. > :10:08.Now this is a competition that encourages entrepreneurs

:10:09. > :10:25.Now the finalists have been announced in London this week

:10:26. > :10:28.and Dan will take a look at some of them in a minute.

:10:29. > :10:31.But first he travels to Tanzania to see what's in store for those

:10:32. > :10:33.hoping to offer something new to the next generation.

:10:34. > :10:36.We are travelling a long way from any town or city to visit some

:10:37. > :10:39.of the 200 children in a village in northern Tanzania.

:10:40. > :10:41.We are putting up a tablet, the first one.

:10:42. > :10:53.The interesting thing here is that most of these children,

:10:54. > :10:56.about all of them, have not seen a tablet before.

:10:57. > :11:06.But not only that, a lot of them wouldn't have gone

:11:07. > :11:08.to school even before, so the learning process

:11:09. > :11:12.The whole programme is in Swahili so the local

:11:13. > :11:15.I think they are going to need more tablets!

:11:16. > :11:24.This is one of about 150 villages in Tanzania chosen as the test-bed

:11:25. > :11:32.Within a few months, 4000 tablets will be given out.

:11:33. > :11:35.The challenge, to teach a 7-11-year-olds to read,

:11:36. > :11:38.write and do maths over the next year.

:11:39. > :11:42.The most effective app will win $10 million.

:11:43. > :11:46.The prize here though will be much more valuable.

:11:47. > :11:50.Older children can walk up to four hours to get to and from school.

:11:51. > :11:54.For younger ones like seven-year-old Amina, that's simply too far.

:11:55. > :11:57.She's been lucky, she is one of those that's been chosen to take

:11:58. > :12:04.At the start she has not seen a tablet before, so she's not used

:12:05. > :12:08.And when it comes to reading she does not know more than one

:12:09. > :12:13.But John, who is with the project, thinks the tablet will help her

:12:14. > :12:22.Back in the capital Dar es Salaam, the World Food Programme is testing

:12:23. > :12:25.solar panel stations that will monitor the progress of each

:12:26. > :12:30.That way if a tablet breaks, the youngster can get a new one

:12:31. > :12:37.without having to start lessons from the beginning again.

:12:38. > :12:40.In London, this week 11 semifinalists from seven

:12:41. > :12:45.were chosen from the nearly 200 teams that entered.

:12:46. > :12:48.They will refine their software before the final five are chosen

:12:49. > :12:52.to go to Tanzania to start the year-long project

:12:53. > :12:59.So the problem is that there are about 60-100 million kids

:13:00. > :13:02.who have no access to school because school is too far.

:13:03. > :13:05.Then you have 250 million more who go to school and leave

:13:06. > :13:08.without ever having learned to read or write a word.

:13:09. > :13:12.And these are kids in Botswana, Boston, Brighton -

:13:13. > :13:17.Kids go to school all over the world and they go,

:13:18. > :13:24.That's the question we are trying to address.

:13:25. > :13:26.In our greatest desire, every single child on planet Earth

:13:27. > :13:31.has access to a world-class education in the palm of their hand.

:13:32. > :13:34.Every single child has his or her potential fulfilled.

:13:35. > :13:37.That's the dream and it's not a far-fetched dream.

:13:38. > :13:43.We are hoping to be back next year to see how the teams get along

:13:44. > :13:45.but for now it's time to say goodbye.

:13:46. > :13:48.We brought some biscuits to say thank you and suddenly

:13:49. > :13:52.the difficulties the team will face when they arrive become clear.

:13:53. > :13:55.With just 20 or so tablets per village there simply won't be

:13:56. > :14:02.To reduce potential jealousy, the tablets will be locked to only

:14:03. > :14:10.A village mama has been chosen to settle any disputes,

:14:11. > :14:13.and the schemes partners UNESCO will be asking some other important

:14:14. > :14:19.We are doing an assessment of the social and emotional

:14:20. > :14:25.Because we expect quite some criticism from that side.

:14:26. > :14:28.We are engaging with the psychologists, anthropologists,

:14:29. > :14:30.educationalists, to try to understand what does

:14:31. > :14:38.Because children go to school, they are socialised also,

:14:39. > :14:40.it's not only the learning, it's learning much more,

:14:41. > :14:57.Now they've got tablets they are not really talking to anybody.

:14:58. > :15:02.This is my first time to see people learning by using tablets.

:15:03. > :15:09.So the scene is set, there are about six or seven

:15:10. > :15:11.children around each individual tablet and we've seen more.

:15:12. > :15:14.The Education Department from Tanzania is here too looking

:15:15. > :15:18.at this project so there's a lot at stake.

:15:19. > :15:22.It's not just $10 million, it could be the answer to the whole

:15:23. > :15:37.Virtual reality is no longer in its infancy.

:15:38. > :15:42.So here at this years Sheffield Doc Fest, content

:15:43. > :15:45.makers are trying new ways of grabbing our attention.

:15:46. > :15:48.This is First Impressions, were I can see the world

:15:49. > :15:51.through the eyes of a baby over its first few days of life.

:15:52. > :15:55.Why is someone putting a toy in front of my face?

:15:56. > :16:01.The trend may seem to be moving towards how far we can go

:16:02. > :16:03.with the medium to make the virtual world feel realistic.

:16:04. > :16:13.In My Shoes aims to create a sense of intimacy.

:16:14. > :16:16.I've been to some amazing places in VR, I've even had some

:16:17. > :16:20.But one thing I haven't tried yet, which I'm about to, is the idea

:16:21. > :16:23.of it trying to create some sort of emotional engagement.

:16:24. > :16:26.Now this is going to require a second player, here I've got Ollie

:16:27. > :16:33.First of all we are going to pretend to be strangers,

:16:34. > :16:35.which isn't entirely true, we've met a couple of times.

:16:36. > :16:38.Then we're going to pretend we are in a long-term relationship -

:16:39. > :16:47.And thirdly we're going to be on a Tinder date.

:16:48. > :16:53.I can hear what he's thinking, who wants that on a date?

:16:54. > :17:06.The situation is feeling a bit intense.

:17:07. > :17:13.You can meet people online and they can turn

:17:14. > :17:31.This date is terrible, why are we holding hands?

:17:32. > :17:35.Goodness, goodness no, this date is going really badly.

:17:36. > :17:41.It was really, really good fun, the experience.

:17:42. > :17:44.And I can see that it is possible to engage you in an emotional way

:17:45. > :17:47.and I think the fact that I could feel that uncomfortable

:17:48. > :17:52.I wanted to get up and leave the date when it got awkward

:17:53. > :17:57.and when you tried to hold my hand, we are acting, I was just like no,

:17:58. > :18:11.Meanwhile here's something else to stir up the senses.

:18:12. > :18:14.With your help to share our story, we can finally have our lands

:18:15. > :18:16.legally recognised as ours and we can continue

:18:17. > :18:28.Commissioned by Greenpeace, Munduruku is the story

:18:29. > :18:33.of the indigenous people of the Amazon rainforest.

:18:34. > :18:38.And to help make it feel real, a humidifier, heaters,

:18:39. > :18:40.fans and Grace the sensory technician with some fragrances

:18:41. > :18:47.OK, that really smells like a forest, that's amazing, that

:18:48. > :18:51.I don't know why the chair's vibrating, I don't

:18:52. > :18:55.This project is part of our Amazon rainforest campaign and we've been

:18:56. > :18:57.working with the Munduruku to try and build solidarity

:18:58. > :18:59.between urban and indigenous populations in Brazil,

:19:00. > :19:01.to protect that land where they are facing huge

:19:02. > :19:02.threats from logging, from hydroelectric

:19:03. > :19:06.What we wanted to do with the multisensory side

:19:07. > :19:09.of it is really emphasise that sense of presence that you get

:19:10. > :19:13.It's very difficult sometimes when you can just see something

:19:14. > :19:17.We wanted to make it as vivid and immersive as possible.

:19:18. > :19:19.Elsewhere companies are working on the next generation

:19:20. > :19:25.This software is developed by a company whose audio

:19:26. > :19:32.optimisation is already used in over 150 million smartphones.

:19:33. > :19:35.The sound is great, no questions about that and I could certainly

:19:36. > :19:41.feel like something was coming from a speaker over there.

:19:42. > :19:43.Now this head tracking device which is attached to the top means

:19:44. > :19:46.that if I was wearing a virtual reality headset, then

:19:47. > :19:50.when I turned my head backwards or around,

:19:51. > :19:53.if there was a sound overhead, say it should sound like it's

:19:54. > :19:59.Obviously I couldn't test that element but long term

:20:00. > :20:01.that is certainly the plan this software hopes to be

:20:02. > :20:13.Whilst the experiences are becoming more real,

:20:14. > :20:16.the kit is still pretty bulky so you are unlikely to forget

:20:17. > :20:19.Although maybe some sort of reminder of reality

:20:20. > :20:22.Right, what should we play, what's your favourite game?

:20:23. > :20:26.We should do flags and I'll take you both on.

:20:27. > :20:30.That was Lara, and now time for some fun and games with these two clowns.

:20:31. > :20:39.Not being rude, they are actually trained circus clowns.

:20:40. > :20:42.But they're also the bosses of a company called two Bit Circus,

:20:43. > :20:44.and they want to build an enormous high-tech fun house

:20:45. > :20:53.So we are building what we call a micro amusement park.

:20:54. > :20:57.It's a 50,000 square feet entertainment complex dedicated

:20:58. > :21:09.There is this period of time when kit comes out of the lab,

:21:10. > :21:11.before it's ready for the home, that it's perfect for out-of-home.

:21:12. > :21:14.You know, you can do some VR in your home right now,

:21:15. > :21:17.but it is so much cooler if it's social like this and has

:21:18. > :21:22.Motion platforms, your friends can play with you.

:21:23. > :21:28.Brent and Eric have been making high-tech games and showpieces

:21:29. > :21:31.for corporate events for a few years.

:21:32. > :21:34.Their planned amusement complex will be a permanent home to some

:21:35. > :21:40.Along with new experimental experiential oddities

:21:41. > :21:43.being developed by their team of computer scientists,

:21:44. > :21:50.We've got machines that can cut metal and cut wood,

:21:51. > :21:52.we can prototype our circuit boards here, we have people

:21:53. > :21:56.And the beautiful thing about this place is that at the end

:21:57. > :21:59.of almost every day, there is something new to play with.

:22:00. > :22:10.The philosophy here seems to be tinker first, think later.

:22:11. > :22:13.I don't actually know the point of this game.

:22:14. > :22:18.This is the ultimate play space and a great

:22:19. > :22:22.coming together of people with many different skills.

:22:23. > :22:24.We are drawing on multiple industries.

:22:25. > :22:31.So we have a lot of people from the games industry here.

:22:32. > :22:33.So all of the development that's gone into sophisticated 3-D game

:22:34. > :22:36.engines like Unity and Unreal, we can put that to work building

:22:37. > :22:40.My background and the background of some others here is in

:22:41. > :22:43.And we bring, we come with a completely different toolkit.

:22:44. > :22:46.But the combination of those two things makes programming around

:22:47. > :22:57.But there is still one big build remaining.

:22:58. > :23:00.We are standing right in the middle of our micro amusement park.

:23:01. > :23:02.Most of it is going to be a big open space.

:23:03. > :23:08.A 100 seat interactive supper club is going to be over there.

:23:09. > :23:11.With $15 million backing from companies including Intel

:23:12. > :23:15.and Japanese ventures, Brent hopes that this 50,000 square

:23:16. > :23:19.feet space in downtown LA will become the first of many two

:23:20. > :23:30.OK, I think you've got a bit of work to do.

:23:31. > :23:34.We've got some work to do, it's a little empty, you can see,

:23:35. > :23:36.it will be a lot more fun when we are done.

:23:37. > :23:39.But, yeah, from the moment we break ground to the moment

:23:40. > :23:44.we are ready to open, it's four, five months.

:23:45. > :23:48.Well, if they can pull it off this is going to be an incredible space

:23:49. > :23:52.and a perfect excuse for us to come back here in January

:23:53. > :23:58.OK, that's it for this week, follow us on Twitter and Facebook

:23:59. > :24:01.for loads more stuff throughout this and every week.

:24:02. > :24:12.Thanks for watching and we'll see you soon.