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50. India are currently under and 65 41 32 overs. That is a you'll spot | :00:00. | :00:00. | |
for now. We will happen more in the next hour. Thank you, Holly. | :00:00. | :00:11. | |
Headlines at the hour. Next up, Click. | :00:12. | :00:12. | |
With hardly any rail alternative, the traffic here drives | :00:13. | :00:56. | |
It's led some of the bigger thinkers to suggest radical alternatives. | :00:57. | :01:05. | |
Electric car and space travel guru Elon Musk has even | :01:06. | :01:09. | |
He envisions an Asimovian network of car and passenger carrying tubes | :01:10. | :01:15. | |
Meanwhile back in the almost real world of Marina del Rey, | :01:16. | :01:25. | |
Two electric cars that belong to a whole apartment block. | :01:26. | :01:33. | |
Envoy operates a closed car share system. | :01:34. | :01:36. | |
The vehicles can be booked out by residents only and used for up | :01:37. | :01:39. | |
Now this is not a car that you would use to drive to work | :01:40. | :01:46. | |
and back because you'd end up paying for and hogging it | :01:47. | :01:48. | |
This is much more a car that you would use for convenience, | :01:49. | :01:52. | |
popping out for the occasional errand. | :01:53. | :01:55. | |
We believe that if it's a two car household we can | :01:56. | :01:57. | |
Experts say that for every shared car it takes 11 off the road. | :01:58. | :02:04. | |
So we are working with developers on communicating that | :02:05. | :02:06. | |
with policymakers in the city, saying if we include car sharing | :02:07. | :02:09. | |
within communities, we should be able to reduce our parking | :02:10. | :02:11. | |
Envoy is just starting out and hopes to roll out into new areas | :02:12. | :02:17. | |
in Southern California and then new cities across the US | :02:18. | :02:20. | |
And further into the future, Aric would like to see shared | :02:21. | :02:26. | |
vehicles available wherever there are large groups of people. | :02:27. | :02:37. | |
Now for some, this kind of thing is going to be an interim stop | :02:38. | :02:40. | |
before we get to fleets of self-driving vehicles | :02:41. | :02:42. | |
cruising the streets, picking us up whenever we want | :02:43. | :02:44. | |
Ride sharing company Uber has been in the news recently - | :02:45. | :02:52. | |
Its founder and boss Travis Kalanick has resigned after coming under | :02:53. | :03:04. | |
pressure from investors following a flurry of public | :03:05. | :03:06. | |
controversies including complaints of sexual harassment and bullying | :03:07. | :03:08. | |
Kalanick's departure comes after the dismissal of 20 staff | :03:09. | :03:12. | |
who've been fired as a result of the scandals | :03:13. | :03:14. | |
Whilst Uber's corporate culture may be in disarray, | :03:15. | :03:21. | |
it is pressing ahead with an ambitious tech project. | :03:22. | :03:25. | |
If you've used a ride sharing app before you know the drill. | :03:26. | :03:27. | |
You have an app on your smartphone, you push a button and a car arrives, | :03:28. | :03:33. | |
and it behaves very much like a taxi. | :03:34. | :03:35. | |
But, here in Arizona, if you push that button there's | :03:36. | :03:37. | |
a good chance the car that will arrive will be | :03:38. | :03:40. | |
The sunny university city of Tempe, Arizona is one of two locations | :03:41. | :03:49. | |
including Pittsburgh in Pennsylvania that Uber is testing a fleet | :03:50. | :03:52. | |
A host of sensors including lidar and cameras have been fitted | :03:53. | :03:58. | |
The sensors become the cars eyes on the road, informing systems that | :03:59. | :04:04. | |
drive the car as well as trying to predict the actions of other road | :04:05. | :04:07. | |
All things which humans take for granted but are difficult | :04:08. | :04:22. | |
I'm taking a ride in a self-driving car. | :04:23. | :04:29. | |
There are however two guys in the front seat. | :04:30. | :04:31. | |
So in the driver's seat here I am monitoring | :04:32. | :04:35. | |
I am still technically a driver, being that this vehicle has to be | :04:36. | :04:39. | |
In event that the car does not know how to react to, | :04:40. | :04:45. | |
So you are the safety driver if you like? | :04:46. | :04:53. | |
Now you are the safety laptop operator? | :04:54. | :04:58. | |
So what are you doing here with a laptop? | :04:59. | :05:06. | |
From the laptop I can monitor a lot of the prediction software so I can | :05:07. | :05:10. | |
see where the car is going, where the car wants to go, | :05:11. | :05:13. | |
so this is all feedback which goes directly to all the engineers | :05:14. | :05:15. | |
and they are able to interpret what's going on and improve | :05:16. | :05:18. | |
So what you're hearing, the car is determining it | :05:19. | :05:21. | |
wants to change lanes, but other vehicles around us | :05:22. | :05:23. | |
are too close so it decides against it and stays in lane. | :05:24. | :05:26. | |
Now you see it just change lanes there. | :05:27. | :05:28. | |
Over the course of our ride, the driver does take | :05:29. | :05:30. | |
control for a short time, but the majority of the ride | :05:31. | :05:33. | |
Uber doesn't publicise how often the human drivers takeover however. | :05:34. | :05:40. | |
It's not been plain sailing for this project. | :05:41. | :05:42. | |
In January, one of the autonomous cars here in Phoenix | :05:43. | :05:45. | |
Nobody was injured but a self-driving car was left | :05:46. | :05:49. | |
And a pilot testing programme in San Francisco was called | :05:50. | :05:56. | |
to a halt after a row with the California Department | :05:57. | :05:59. | |
of Motor Vehicles over permits for autonomous cars. | :06:00. | :06:03. | |
On top of all that, Waymo, the self-driving car company owned | :06:04. | :06:06. | |
by Google's parent firm Alphabet, has accused Uber of | :06:07. | :06:10. | |
Uber denies using or receiving stolen technology. | :06:11. | :06:18. | |
Thankfully back in Arizona, my ride continues without incident. | :06:19. | :06:24. | |
I'm in a robot car essentially, that's like something | :06:25. | :06:26. | |
Because the car is driving itself without any hassles. | :06:27. | :06:35. | |
And Uber isn't alone when it comes to self driving testing. | :06:36. | :06:43. | |
The state of Arizona is very accommodating, | :06:44. | :06:45. | |
allowing self-driving cars from Waymo, Ford, General Motors | :06:46. | :06:48. | |
We're several years away from fully autonomous cars taking | :06:49. | :06:54. | |
to the highways yet, and it seems that the road to fully | :06:55. | :06:57. | |
self driving vehicles is still a bumpy one. | :06:58. | :07:04. | |
Some American freeways have carpool lanes which you can only use | :07:05. | :07:07. | |
if you are carrying more than one person in the car. | :07:08. | :07:09. | |
The idea is those lanes at least are travelling at a decent speed. | :07:10. | :07:14. | |
Well now they are also planning similar lanes for autonomous | :07:15. | :07:17. | |
vehicles and they are calling them hyper lanes. | :07:18. | :07:25. | |
This system will be controlled by a central computer and will whizz | :07:26. | :07:28. | |
self-driving cars along at speeds of over 100 miles an hour. | :07:29. | :07:33. | |
You would use access stations in your local | :07:34. | :07:36. | |
neighbourhoods and once you enter the station your car will start | :07:37. | :07:39. | |
driving itself and they will launch them onto a hyper lane. | :07:40. | :07:41. | |
After that point the car would be able to drive itself and you can | :07:42. | :07:45. | |
just sit back and sip your coffee and check your phone. | :07:46. | :07:52. | |
The plan is to use existing highways to create these hyper lanes. | :07:53. | :07:56. | |
Customers would pay surge pricing in order to ease congestion | :07:57. | :07:59. | |
and arrive at their destinations as quickly as possible. | :08:00. | :08:03. | |
There are also plans to use the service for parcel delivery | :08:04. | :08:06. | |
However, to put even a test version of this in place | :08:07. | :08:14. | |
is going to cost $12 million - per mile. | :08:15. | :08:18. | |
So from the time being it looks like autonomous cars | :08:19. | :08:21. | |
are going to be stuck in traffic with the rest of us. | :08:22. | :08:31. | |
It's time for this week's tech news and boy, what a week. | :08:32. | :08:34. | |
You thought Google Glass was dead, but it's not. | :08:35. | :08:36. | |
It released its first update for three years. | :08:37. | :08:39. | |
A US official from the Department for Homeland Security said this week | :08:40. | :08:42. | |
that Russian Hackers targeted election systems in 21 states | :08:43. | :08:44. | |
And Netflix has announced two interactive TV shows | :08:45. | :08:51. | |
They said it was designed for kids but come on, that looks fun. | :08:52. | :08:57. | |
And could we soon be seeing the Queen in a G-Whiz? | :08:58. | :09:01. | |
But the Queen's Speech outlined plans for petrol stations around | :09:02. | :09:05. | |
It's part of a government plan to push more electric | :09:06. | :09:09. | |
And more news from the UK's roads this week. | :09:10. | :09:14. | |
Driverless cars are being given the green light to begin | :09:15. | :09:16. | |
A collaboration between Jaguar Land Rover, Ford | :09:17. | :09:20. | |
and Tata Motors has been showing off how autonomous cars can talk | :09:21. | :09:23. | |
together to provide real-time traffic information. | :09:24. | :09:28. | |
And what if you could tackle a Mario level while out and about? | :09:29. | :09:31. | |
One man has done just that, creating a Super Mario Brothers | :09:32. | :09:34. | |
level in an augmented New York Central Park. | :09:35. | :09:38. | |
He created the whole thing for the Microsoft HoloLens, | :09:39. | :09:42. | |
which unfortunately isn't yet available for the general consumer. | :09:43. | :09:51. | |
The abundance of everything here in the US is evident, | :09:52. | :09:54. | |
and it's thanks in no small part to having one of the best | :09:55. | :09:58. | |
educated and most skilled workforces in the world. | :09:59. | :10:01. | |
And it is from right here that the XPRIZE | :10:02. | :10:04. | |
Now this is a competition that encourages entrepreneurs | :10:05. | :10:08. | |
Now the finalists have been announced in London this week | :10:09. | :10:25. | |
and Dan will take a look at some of them in a minute. | :10:26. | :10:28. | |
But first he travels to Tanzania to see what's in store for those | :10:29. | :10:31. | |
hoping to offer something new to the next generation. | :10:32. | :10:33. | |
We are travelling a long way from any town or city to visit some | :10:34. | :10:36. | |
of the 200 children in a village in northern Tanzania. | :10:37. | :10:39. | |
We are putting up a tablet, the first one. | :10:40. | :10:41. | |
The interesting thing here is that most of these children, | :10:42. | :10:53. | |
about all of them, have not seen a tablet before. | :10:54. | :10:56. | |
But not only that, a lot of them wouldn't have gone | :10:57. | :11:06. | |
to school even before, so the learning process | :11:07. | :11:08. | |
The whole programme is in Swahili so the local | :11:09. | :11:12. | |
I think they are going to need more tablets! | :11:13. | :11:15. | |
This is one of about 150 villages in Tanzania chosen as the test-bed | :11:16. | :11:24. | |
Within a few months, 4000 tablets will be given out. | :11:25. | :11:32. | |
The challenge, to teach a 7-11-year-olds to read, | :11:33. | :11:35. | |
write and do maths over the next year. | :11:36. | :11:38. | |
The most effective app will win $10 million. | :11:39. | :11:42. | |
The prize here though will be much more valuable. | :11:43. | :11:46. | |
Older children can walk up to four hours to get to and from school. | :11:47. | :11:50. | |
For younger ones like seven-year-old Amina, that's simply too far. | :11:51. | :11:54. | |
She's been lucky, she is one of those that's been chosen to take | :11:55. | :11:57. | |
At the start she has not seen a tablet before, so she's not used | :11:58. | :12:04. | |
And when it comes to reading she does not know more than one | :12:05. | :12:08. | |
But John, who is with the project, thinks the tablet will help her | :12:09. | :12:13. | |
Back in the capital Dar es Salaam, the World Food Programme is testing | :12:14. | :12:22. | |
solar panel stations that will monitor the progress of each | :12:23. | :12:25. | |
That way if a tablet breaks, the youngster can get a new one | :12:26. | :12:30. | |
without having to start lessons from the beginning again. | :12:31. | :12:37. | |
In London, this week 11 semifinalists from seven | :12:38. | :12:40. | |
were chosen from the nearly 200 teams that entered. | :12:41. | :12:45. | |
They will refine their software before the final five are chosen | :12:46. | :12:48. | |
to go to Tanzania to start the year-long project | :12:49. | :12:52. | |
So the problem is that there are about 60-100 million kids | :12:53. | :12:59. | |
who have no access to school because school is too far. | :13:00. | :13:02. | |
Then you have 250 million more who go to school and leave | :13:03. | :13:05. | |
without ever having learned to read or write a word. | :13:06. | :13:08. | |
And these are kids in Botswana, Boston, Brighton - | :13:09. | :13:12. | |
Kids go to school all over the world and they go, | :13:13. | :13:17. | |
That's the question we are trying to address. | :13:18. | :13:24. | |
In our greatest desire, every single child on planet Earth | :13:25. | :13:26. | |
has access to a world-class education in the palm of their hand. | :13:27. | :13:31. | |
Every single child has his or her potential fulfilled. | :13:32. | :13:34. | |
That's the dream and it's not a far-fetched dream. | :13:35. | :13:37. | |
We are hoping to be back next year to see how the teams get along | :13:38. | :13:43. | |
but for now it's time to say goodbye. | :13:44. | :13:45. | |
We brought some biscuits to say thank you and suddenly | :13:46. | :13:48. | |
the difficulties the team will face when they arrive become clear. | :13:49. | :13:52. | |
With just 20 or so tablets per village there simply won't be | :13:53. | :13:55. | |
To reduce potential jealousy, the tablets will be locked to only | :13:56. | :14:02. | |
A village mama has been chosen to settle any disputes, | :14:03. | :14:10. | |
and the schemes partners UNESCO will be asking some other important | :14:11. | :14:13. | |
We are doing an assessment of the social and emotional | :14:14. | :14:19. | |
Because we expect quite some criticism from that side. | :14:20. | :14:25. | |
We are engaging with the psychologists, anthropologists, | :14:26. | :14:28. | |
educationalists, to try to understand what does | :14:29. | :14:30. | |
Because children go to school, they are socialised also, | :14:31. | :14:38. | |
it's not only the learning, it's learning much more, | :14:39. | :14:40. | |
Now they've got tablets they are not really talking to anybody. | :14:41. | :14:57. | |
This is my first time to see people learning by using tablets. | :14:58. | :15:02. | |
So the scene is set, there are about six or seven | :15:03. | :15:09. | |
children around each individual tablet and we've seen more. | :15:10. | :15:11. | |
The Education Department from Tanzania is here too looking | :15:12. | :15:14. | |
at this project so there's a lot at stake. | :15:15. | :15:18. | |
It's not just $10 million, it could be the answer to the whole | :15:19. | :15:22. | |
Virtual reality is no longer in its infancy. | :15:23. | :15:37. | |
So here at this years Sheffield Doc Fest, content | :15:38. | :15:42. | |
makers are trying new ways of grabbing our attention. | :15:43. | :15:45. | |
This is First Impressions, were I can see the world | :15:46. | :15:48. | |
through the eyes of a baby over its first few days of life. | :15:49. | :15:51. | |
Why is someone putting a toy in front of my face? | :15:52. | :15:55. | |
The trend may seem to be moving towards how far we can go | :15:56. | :16:01. | |
with the medium to make the virtual world feel realistic. | :16:02. | :16:03. | |
In My Shoes aims to create a sense of intimacy. | :16:04. | :16:13. | |
I've been to some amazing places in VR, I've even had some | :16:14. | :16:16. | |
But one thing I haven't tried yet, which I'm about to, is the idea | :16:17. | :16:20. | |
of it trying to create some sort of emotional engagement. | :16:21. | :16:23. | |
Now this is going to require a second player, here I've got Ollie | :16:24. | :16:26. | |
First of all we are going to pretend to be strangers, | :16:27. | :16:33. | |
which isn't entirely true, we've met a couple of times. | :16:34. | :16:35. | |
Then we're going to pretend we are in a long-term relationship - | :16:36. | :16:38. | |
And thirdly we're going to be on a Tinder date. | :16:39. | :16:47. | |
I can hear what he's thinking, who wants that on a date? | :16:48. | :16:53. | |
The situation is feeling a bit intense. | :16:54. | :17:06. | |
You can meet people online and they can turn | :17:07. | :17:13. | |
This date is terrible, why are we holding hands? | :17:14. | :17:31. | |
Goodness, goodness no, this date is going really badly. | :17:32. | :17:35. | |
It was really, really good fun, the experience. | :17:36. | :17:41. | |
And I can see that it is possible to engage you in an emotional way | :17:42. | :17:44. | |
and I think the fact that I could feel that uncomfortable | :17:45. | :17:47. | |
I wanted to get up and leave the date when it got awkward | :17:48. | :17:52. | |
and when you tried to hold my hand, we are acting, I was just like no, | :17:53. | :17:57. | |
Meanwhile here's something else to stir up the senses. | :17:58. | :18:11. | |
With your help to share our story, we can finally have our lands | :18:12. | :18:14. | |
legally recognised as ours and we can continue | :18:15. | :18:16. | |
Commissioned by Greenpeace, Munduruku is the story | :18:17. | :18:28. | |
of the indigenous people of the Amazon rainforest. | :18:29. | :18:33. | |
And to help make it feel real, a humidifier, heaters, | :18:34. | :18:38. | |
fans and Grace the sensory technician with some fragrances | :18:39. | :18:40. | |
OK, that really smells like a forest, that's amazing, that | :18:41. | :18:47. | |
I don't know why the chair's vibrating, I don't | :18:48. | :18:51. | |
This project is part of our Amazon rainforest campaign and we've been | :18:52. | :18:55. | |
working with the Munduruku to try and build solidarity | :18:56. | :18:57. | |
between urban and indigenous populations in Brazil, | :18:58. | :18:59. | |
to protect that land where they are facing huge | :19:00. | :19:01. | |
threats from logging, from hydroelectric | :19:02. | :19:02. | |
What we wanted to do with the multisensory side | :19:03. | :19:06. | |
of it is really emphasise that sense of presence that you get | :19:07. | :19:09. | |
It's very difficult sometimes when you can just see something | :19:10. | :19:13. | |
We wanted to make it as vivid and immersive as possible. | :19:14. | :19:17. | |
Elsewhere companies are working on the next generation | :19:18. | :19:19. | |
This software is developed by a company whose audio | :19:20. | :19:25. | |
optimisation is already used in over 150 million smartphones. | :19:26. | :19:32. | |
The sound is great, no questions about that and I could certainly | :19:33. | :19:35. | |
feel like something was coming from a speaker over there. | :19:36. | :19:41. | |
Now this head tracking device which is attached to the top means | :19:42. | :19:43. | |
that if I was wearing a virtual reality headset, then | :19:44. | :19:46. | |
when I turned my head backwards or around, | :19:47. | :19:50. | |
if there was a sound overhead, say it should sound like it's | :19:51. | :19:53. | |
Obviously I couldn't test that element but long term | :19:54. | :19:59. | |
that is certainly the plan this software hopes to be | :20:00. | :20:01. | |
Whilst the experiences are becoming more real, | :20:02. | :20:13. | |
the kit is still pretty bulky so you are unlikely to forget | :20:14. | :20:16. | |
Although maybe some sort of reminder of reality | :20:17. | :20:19. | |
Right, what should we play, what's your favourite game? | :20:20. | :20:22. | |
We should do flags and I'll take you both on. | :20:23. | :20:26. | |
That was Lara, and now time for some fun and games with these two clowns. | :20:27. | :20:30. | |
Not being rude, they are actually trained circus clowns. | :20:31. | :20:39. | |
But they're also the bosses of a company called two Bit Circus, | :20:40. | :20:42. | |
and they want to build an enormous high-tech fun house | :20:43. | :20:44. | |
So we are building what we call a micro amusement park. | :20:45. | :20:53. | |
It's a 50,000 square feet entertainment complex dedicated | :20:54. | :20:57. | |
There is this period of time when kit comes out of the lab, | :20:58. | :21:09. | |
before it's ready for the home, that it's perfect for out-of-home. | :21:10. | :21:11. | |
You know, you can do some VR in your home right now, | :21:12. | :21:14. | |
but it is so much cooler if it's social like this and has | :21:15. | :21:17. | |
Motion platforms, your friends can play with you. | :21:18. | :21:22. | |
Brent and Eric have been making high-tech games and showpieces | :21:23. | :21:28. | |
for corporate events for a few years. | :21:29. | :21:31. | |
Their planned amusement complex will be a permanent home to some | :21:32. | :21:34. | |
Along with new experimental experiential oddities | :21:35. | :21:40. | |
being developed by their team of computer scientists, | :21:41. | :21:43. | |
We've got machines that can cut metal and cut wood, | :21:44. | :21:50. | |
we can prototype our circuit boards here, we have people | :21:51. | :21:52. | |
And the beautiful thing about this place is that at the end | :21:53. | :21:56. | |
of almost every day, there is something new to play with. | :21:57. | :21:59. | |
The philosophy here seems to be tinker first, think later. | :22:00. | :22:10. | |
I don't actually know the point of this game. | :22:11. | :22:13. | |
This is the ultimate play space and a great | :22:14. | :22:18. | |
coming together of people with many different skills. | :22:19. | :22:22. | |
We are drawing on multiple industries. | :22:23. | :22:24. | |
So we have a lot of people from the games industry here. | :22:25. | :22:31. | |
So all of the development that's gone into sophisticated 3-D game | :22:32. | :22:33. | |
engines like Unity and Unreal, we can put that to work building | :22:34. | :22:36. | |
My background and the background of some others here is in | :22:37. | :22:40. | |
And we bring, we come with a completely different toolkit. | :22:41. | :22:43. | |
But the combination of those two things makes programming around | :22:44. | :22:46. | |
But there is still one big build remaining. | :22:47. | :22:57. | |
We are standing right in the middle of our micro amusement park. | :22:58. | :23:00. | |
Most of it is going to be a big open space. | :23:01. | :23:02. | |
A 100 seat interactive supper club is going to be over there. | :23:03. | :23:08. | |
With $15 million backing from companies including Intel | :23:09. | :23:11. | |
and Japanese ventures, Brent hopes that this 50,000 square | :23:12. | :23:15. | |
feet space in downtown LA will become the first of many two | :23:16. | :23:19. | |
OK, I think you've got a bit of work to do. | :23:20. | :23:30. | |
We've got some work to do, it's a little empty, you can see, | :23:31. | :23:34. | |
it will be a lot more fun when we are done. | :23:35. | :23:36. | |
But, yeah, from the moment we break ground to the moment | :23:37. | :23:39. | |
we are ready to open, it's four, five months. | :23:40. | :23:44. | |
Well, if they can pull it off this is going to be an incredible space | :23:45. | :23:48. | |
and a perfect excuse for us to come back here in January | :23:49. | :23:52. | |
OK, that's it for this week, follow us on Twitter and Facebook | :23:53. | :23:58. | |
for loads more stuff throughout this and every week. | :23:59. | :24:01. | |
Thanks for watching and we'll see you soon. | :24:02. | :24:12. |