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Putin in Moscow and said he was not trying to influence events. And now | :00:00. | :00:00. | |
one BBC News, Click. Driving in India is an experience. | :00:00. | :00:14. | |
singing... Sort of. Driving in India is an experience. | :00:15. | :00:58. | |
The roads are crammed and the horn is on the present and the rules | :00:59. | :01:01. | |
are... Well, they are there somewhere, I'm sure. And that's why | :01:02. | :01:08. | |
we will not be doing a story about self driving cars in India any time | :01:09. | :01:12. | |
soon. And despite the fact that it seems like everybody here owns a | :01:13. | :01:16. | |
car, that is not true. Any people choose to travel by train instead. | :01:17. | :01:21. | |
If you think that is any less intense... Think again. Yeah, about | :01:22. | :01:32. | |
those rules... The central station is a massive heaving hub collecting | :01:33. | :01:37. | |
the city to the north and east of India. If you look closely, you will | :01:38. | :01:42. | |
see something else connecting the commuters to the rest of the world. | :01:43. | :01:49. | |
116 wireless access points provide free Wi-Fi to anybody with an Indian | :01:50. | :01:55. | |
phone number. It is provided by Google which says that about 2.5 TB | :01:56. | :01:59. | |
are being downloaded here every day. And here is the interesting part, | :02:00. | :02:03. | |
this is not just about this station. Along the railway tracks live 45,000 | :02:04. | :02:10. | |
kilometres of optical fibre and Google is piping Internet access | :02:11. | :02:15. | |
down those cables to feed Wi-Fi access to 114 other train stations | :02:16. | :02:19. | |
as well. The man overseeing the project is this man, who I caught up | :02:20. | :02:26. | |
with while he was waiting for a train. If you had to take one place | :02:27. | :02:33. | |
in the country where you wanted tremendous fibre and you had to have | :02:34. | :02:39. | |
reliable power then, relatively speaking, power is a challenge and | :02:40. | :02:45. | |
the entire country had to walk for, there is only one place. That is | :02:46. | :02:49. | |
awry waystation. Can you guarantee that all services on Google's Wi-Fi | :02:50. | :02:54. | |
will be treated equally? Absolutely. I think the whole motivation for us, | :02:55. | :03:02. | |
if you look at the reason why we do this was to see if we could provide | :03:03. | :03:08. | |
an open Internet, completely open with access to the entire world. The | :03:09. | :03:17. | |
way the web was designed. So, there is a fibre network rolling out from | :03:18. | :03:21. | |
train stations like this to the vast rural areas of this enormous | :03:22. | :03:27. | |
country. And David hopped on a train to find out what effect that has | :03:28. | :03:35. | |
happened having elsewhere in India. It is hard not to be romantic about | :03:36. | :03:44. | |
the railways of India. British colonial rulers laid tracks to | :03:45. | :03:52. | |
control shifting resources, mostly out, and prising open markets. Now | :03:53. | :03:57. | |
it is about moving people, millions a day. And thanks to optic fibre, | :03:58. | :04:07. | |
data. I took the train to a station to investigate. It has proper | :04:08. | :04:15. | |
broadband and it is free. People are filling their booths. Apart from | :04:16. | :04:18. | |
some controversy, at this station where people were using free Wi-Fi | :04:19. | :04:23. | |
to download hard-core pornography, the provision of high-speed Wi-Fi | :04:24. | :04:32. | |
has been almost universally praised. 90,000 people pass through the | :04:33. | :04:42. | |
station every day. I use the Internet for work and entertainment. | :04:43. | :04:49. | |
For a student journalist it means she can keep tabs on breaking | :04:50. | :04:56. | |
stories. Early in the morning, the world changes like... So many things | :04:57. | :05:05. | |
change. I come and check. Indian stations are full of thriving | :05:06. | :05:08. | |
businesses, feeding off or simply feeding the thousands streaming | :05:09. | :05:12. | |
through them every day. Free Wi-Fi has been a boon to local businesses | :05:13. | :05:17. | |
here. This man runs a tea stall on the platform. He makes more money | :05:18. | :05:23. | |
now that his customers and make online payments to him. I use the | :05:24. | :05:27. | |
Wi-Fi when my four G signal does not catch. When that does not work, I | :05:28. | :05:32. | |
use Wi-Fi, especially when a customer pays digitally. I needed to | :05:33. | :05:37. | |
confirm I have received the payment. A digital payment worth about 30% of | :05:38. | :05:45. | |
my takings. This is music to the years of people managing the | :05:46. | :05:49. | |
railways of India. An industry that runs at a loss. They think that | :05:50. | :05:57. | |
high-speed Wi-Fi could be a good pool frustration might Jaipur. They | :05:58. | :06:01. | |
planned to build a huge concourse and attract retail and services | :06:02. | :06:06. | |
business. As Wi-Fi expands and it becomes taken for granted then I | :06:07. | :06:12. | |
think people will transfer more and more of their business. Jaipur is a | :06:13. | :06:17. | |
tourist hub of high repute. People come out here from all parts of the | :06:18. | :06:22. | |
world. And when you have a huge concourse it is an area where you | :06:23. | :06:27. | |
can have shops and entertainment. For Google, more people online as | :06:28. | :06:33. | |
more people to sell to. India's railway is the country's backbone. | :06:34. | :06:37. | |
Its public Wi-Fi is poised to be at least as far reaching. | :06:38. | :06:49. | |
Go and welcome to the week in Tech. It was the week that laptops and | :06:50. | :06:55. | |
other electronic devices larger than cellphones were banned from caverns | :06:56. | :07:01. | |
on US and UK bound flights, leaving from some African and Middle Eastern | :07:02. | :07:05. | |
countries. They start up hopes to be able to provide flights from London | :07:06. | :07:10. | |
to Paris by electric plane within ten years and faster than Concorde, | :07:11. | :07:14. | |
supersonic travel between London and New York could be back with flight | :07:15. | :07:18. | |
times of just three hours and 15 minutes. After the start-up, Boom | :07:19. | :07:25. | |
Supersonic gained $33 million in funding. An unarmed starved | :07:26. | :07:29. | |
convenience store has opened in Shanghai. Created by a Swedish | :07:30. | :07:36. | |
company, the always open never staffed by a human shop requires | :07:37. | :07:41. | |
using an app to enter, scam purchases and pay. Nasser is | :07:42. | :07:47. | |
creating an origami inspired robot that can flatten itself to fit into | :07:48. | :07:53. | |
small spaces. The robot can cope with extremely high temperatures | :07:54. | :07:59. | |
and, finally, if you could do anything in virtual reality, what | :08:00. | :08:05. | |
would it be? Well... If your answer was to play a game of catch with an | :08:06. | :08:09. | |
actual ball then you are in luck. Research have been examining how the | :08:10. | :08:15. | |
ball's path can be tracked, predicted and matched up in its | :08:16. | :08:20. | |
virtual view. Or... You could just play without the heads sect. -- | :08:21. | :08:33. | |
headset. You may have noticed by now that the roads here are in India | :08:34. | :08:41. | |
are... Well... Utterly chaotic. What is ever more astonishing, consider | :08:42. | :08:45. | |
that so few people own a car here. There are just 32 motor vehicles per | :08:46. | :08:51. | |
1000 people in India. In the United States, there are 797. But that | :08:52. | :08:56. | |
number is changing and I'll tell you a secret, it is not going down. Look | :08:57. | :09:04. | |
at these roads. That is a scary thought. One solution could be to | :09:05. | :09:10. | |
make better use of the cars that are already on the road. Enter all cabs, | :09:11. | :09:18. | |
the biggest taxi reeling app, the Uber of India as you will. Or as | :09:19. | :09:28. | |
they say, Uber is the all of India. Founded back in 2010, three years | :09:29. | :09:31. | |
before Uber launched in India, they have taken full advantage of their | :09:32. | :09:36. | |
head start. They have historically been number one in India but the | :09:37. | :09:41. | |
Uber has said that that is changing. It looks like the battle for the Pat | :09:42. | :09:45. | |
Cash in India is only just beginning. These are the head | :09:46. | :09:51. | |
offices in silicon Valley of India, Bangalore. This is employee number | :09:52. | :09:59. | |
one. India is not designed to have many cars. What are the specific | :10:00. | :10:05. | |
needs of your customers and drivers? We made a platform that is not just | :10:06. | :10:14. | |
about cabs but about many other things in India. Supporting bikes, | :10:15. | :10:26. | |
electricity,... Different transport options. So that brings an a lot of | :10:27. | :10:34. | |
options for users. They say that it is better because it is local and it | :10:35. | :10:40. | |
knows what works in India. They offer things like walk-in centres | :10:41. | :10:44. | |
for drivers and being the first to allow drivers to pay by cash. Do | :10:45. | :10:49. | |
brew is coming into the Indian market. How are you different from | :10:50. | :10:55. | |
them? How will you stay ahead? There is a fundamental difference in the | :10:56. | :11:00. | |
way we operate. We believe in what we want and not what we have. Uber | :11:01. | :11:07. | |
plugging in things have worked well elsewhere. It is about the | :11:08. | :11:12. | |
connection that you make, not just about the transaction. Part of that | :11:13. | :11:20. | |
connection is offering centres like this. Here, drivers can talk | :11:21. | :11:23. | |
face-to-face with the company, for example Clark, like when they join | :11:24. | :11:27. | |
the service for training or if they have a problem, an issue with their | :11:28. | :11:31. | |
wages, for example. But they do not actually employee any of these | :11:32. | :11:36. | |
people. They call everybody here a partner. In reality, they are | :11:37. | :11:42. | |
self-employed. That means they do not get things like holiday pay and | :11:43. | :11:46. | |
they are responsible for maintaining their car and paying for fuel. The | :11:47. | :11:50. | |
flipside is that drivers can, in theory, set their own schedule and | :11:51. | :11:58. | |
work when they please. It is a controversial system that transport | :11:59. | :12:00. | |
and delivery companies around the world have used to keep costs down. | :12:01. | :12:09. | |
Despite this, all really, really wants drivers to drive. A lock. So | :12:10. | :12:13. | |
much so that there are carrots if you stay on the road and sticks if | :12:14. | :12:19. | |
you don't. What India really needs to focus on is to enable mobility | :12:20. | :12:24. | |
for a billion people. We need to leapfrog all sorts of impediments | :12:25. | :12:35. | |
and we need to promote share mobility, sustainable options, our | :12:36. | :12:43. | |
government is focusing in a big way on all vehicles. Ola is one of the | :12:44. | :12:55. | |
most successful start-ups to come out of the education sector. These | :12:56. | :13:02. | |
top-level universities are dotted across India and they are the | :13:03. | :13:05. | |
driving force behind many of India's technology successes. Getting into | :13:06. | :13:13. | |
IIT is a competitive business. Only a tiny fraction of applicants get in | :13:14. | :13:18. | |
in any year. But if you do, you get to work in incredible campuses like | :13:19. | :13:20. | |
this. My first appointment is at the | :13:21. | :13:28. | |
Olympic-sized swimming pool. Although it's not me who's taking a | :13:29. | :13:36. | |
dip... This is Matsia, named after the avatar of Vishnu, which takes | :13:37. | :13:41. | |
the form of a fish, it's a multipurpose underwater robot that | :13:42. | :13:45. | |
can operate autonomously, without a human controller, to make sounds, | :13:46. | :13:50. | |
and recognise, manipulate and grab objects. The team tell me it might | :13:51. | :13:54. | |
be used to find flight recorders from aircraft, although they're also | :13:55. | :13:59. | |
pitching it to the military to fire torpedoes. The project is in its | :14:00. | :14:03. | |
fifth year, and the team leader here tells me the work is hard, | :14:04. | :14:05. | |
We are giving everything you want... Like a race carg, or a satellite. | :14:06. | :14:31. | |
Brilliant! Is Matsia is one of 100 projects that have been supported by | :14:32. | :14:36. | |
IIT Bombay's society for innovation and entrepreneurship since 2004. | :14:37. | :14:41. | |
It's an umbrella for start-ups and, as with incubators everywhere, | :14:42. | :14:48. | |
you'll find all kinds of ideas bubbling away behind its doors. As | :14:49. | :14:52. | |
you might expect, there are aerial ideas, there are medical ideas, but | :14:53. | :14:56. | |
there are also musical ideas - which is why you find me making strange | :14:57. | :15:06. | |
noises with my face... Doooo-deeeee-ddoooooo. Very good. | :15:07. | :15:10. | |
There you go. You got some score over there. "Some score." If you do | :15:11. | :15:15. | |
better, your score will increase. Yeah, the worst karaoke India has | :15:16. | :15:19. | |
ever heard. But then, this singing training app is so much more than | :15:20. | :15:25. | |
normal karaoke-style games... Most karaoke apps do a very cursory kind | :15:26. | :15:29. | |
of evaluation of your singing. Some don't evaluate your singing, they | :15:30. | :15:33. | |
just have input - you open your mouth, you get a good rating. We do | :15:34. | :15:38. | |
a multidimensional evaluation of your singing on different aspects of | :15:39. | :15:45. | |
music - pitch, rhythm, dynamics, timing... | :15:46. | :15:50. | |
You asked for a hard exercise! Ehhhh-oooooh... | :15:51. | :16:01. | |
Eeeeeh-eeeeee-eeeeehhh... ECHOING | :16:02. | :16:06. | |
If my singing went right through you, I've got something upstairs | :16:07. | :16:10. | |
that will really cut to the bone. The Algo Surge team are working on a | :16:11. | :16:15. | |
system for surgeons to plan surgery. They've created software that's | :16:16. | :16:19. | |
learned to create a three-D model of bones from just two two-dimensional | :16:20. | :16:24. | |
X-rays. I can imagine, after a lot of experience, a bone - if I just | :16:25. | :16:28. | |
look at an X-ray, I can imagine it in three-D - can we do the same | :16:29. | :16:32. | |
thing with computers? A virgin can do it, because he has learned a lot | :16:33. | :16:37. | |
of correlation between X-ray data and the bone he sees in the surgery. | :16:38. | :16:42. | |
We use the same logic to develop the software. We have a machine-learned | :16:43. | :16:47. | |
algorithm which has learned the three-D of bones across the | :16:48. | :16:50. | |
population. We have created a lot of models from CT scan, and we use this | :16:51. | :16:57. | |
as a kind of database, and we create an algorithm to understand that | :16:58. | :17:03. | |
database in a particular array to predict X-ray images. These three-D | :17:04. | :17:07. | |
models also allow for tools and guides to be designed to the | :17:08. | :17:10. | |
patient's specific dimensions. For example, if a surgeon was preparing | :17:11. | :17:17. | |
to cut and realign legs. We have special, specific instrumentation | :17:18. | :17:20. | |
which uses the bone surface in three-D, and it is like a negative | :17:21. | :17:24. | |
of the three-D bone surface. If you make that part and print it in | :17:25. | :17:29. | |
three-D, and put it on the real bone, it will exactly fit. So what | :17:30. | :17:36. | |
we do is, we use that concept to cut, to make surgeon cut more | :17:37. | :17:40. | |
rapidly, so this part will be exact fit on the bone, but it will also | :17:41. | :17:45. | |
have a slit which will be aligned with the cutting plate. That slit | :17:46. | :17:49. | |
can be used during the surgery to guide cutting tool. Two X-rays are, | :17:50. | :17:54. | |
of course, cheaper than a full three-D CT or MRI scan and, once | :17:55. | :17:58. | |
again, it means patients can be assessed who can't get to a fully | :17:59. | :18:02. | |
kitted hospital. There's no surprise that many of the projects here | :18:03. | :18:07. | |
concentrate on low-cost, rugged solutions to developing world | :18:08. | :18:11. | |
problems. You may have come across Braille displays before, which allow | :18:12. | :18:17. | |
you to connect via Bluetooth to your Android tablet, then whichever menu | :18:18. | :18:21. | |
item is highlighted on the screen, the text is mirrors on the Braille | :18:22. | :18:25. | |
readt here, and you can control the navigation using up and down buttons | :18:26. | :18:30. | |
here. Well, this is a prototype Braille display called Braille Me, | :18:31. | :18:33. | |
which works in a slightly different way. The Braille displays currently | :18:34. | :18:42. | |
existing on the market are based on keiso-electric technology. Because | :18:43. | :18:46. | |
of that, the cost for these devices are around are $2,000 to deloo 3,000 | :18:47. | :18:51. | |
each. We developed a completely new technology based on magnetics that | :18:52. | :18:55. | |
are able to reduce the cost by 10 times. So we can sell it to the user | :18:56. | :19:03. | |
at a price point around $300-$400. This machine needs to move for at | :19:04. | :19:10. | |
least 10 million cycles of movement, it needs to be quiet, have power, | :19:11. | :19:16. | |
and needs to be very precise. That is the challenge. This is the | :19:17. | :19:24. | |
Andumen Irdu Primary School in Calcutta. There are 155 kids here | :19:25. | :19:28. | |
from Grade 1 through to 7, and a whole bunch of dedicated teachers. | :19:29. | :19:32. | |
And this is how they start their day. | :19:33. | :19:36. | |
Over in Virjaya Nijak's classroom, things are a little more serious... | :19:37. | :19:54. | |
So, at the back of the projector, there's a device which is plugged in | :19:55. | :20:00. | |
and is running videos on English, maths and science. The videos are | :20:01. | :20:07. | |
made for the entire region. But then they're dubbed in different | :20:08. | :20:10. | |
dialects, different languages, depending on where they're sent to. | :20:11. | :20:14. | |
Today, we're learning about fractions. | :20:15. | :20:19. | |
It is great teaching tool - as long as there is electricity... But there | :20:20. | :20:23. | |
are plenty of times when there isn't. | :20:24. | :20:31. | |
Transthis is a valued school. Earlier, it would be difficult to | :20:32. | :20:37. | |
teach because of power cuts. As the day passed by in the afternoon, we | :20:38. | :20:41. | |
would have power cuts for more than two hours. That's why the projector | :20:42. | :20:45. | |
and tablet are hooked up to this box, which is itself attached to a | :20:46. | :20:49. | |
solar panel on the roof. Together, they can provide up to five hours of | :20:50. | :20:52. | |
electricity a day, meaning that classes don't have to be interrupted | :20:53. | :20:57. | |
or cancelled if the power cuts out. Then, we started using solar power, | :20:58. | :21:02. | |
as it is an easy and natural source of generating electricity. We have | :21:03. | :21:06. | |
introduced a studiy of generating power through solar energy to our | :21:07. | :21:09. | |
students, and are teaching them the importance and working of it. We | :21:10. | :21:13. | |
also explain to our students that this process will help us in the | :21:14. | :21:17. | |
future to generate electricity. This whole system has been provided by | :21:18. | :21:22. | |
the Selco Foundation, an Indian charity with the aim of hoping to | :21:23. | :21:26. | |
alleviate poverty by improving access to energy. With this, they | :21:27. | :21:33. | |
will get a better education through audiovisual teaching, and there is | :21:34. | :21:37. | |
no problem of electricity. So time teachers can take their students to | :21:38. | :21:41. | |
the classroom, they can teach through this medium. Selco and other | :21:42. | :21:46. | |
NGOs they work with pay for half of the cost of installing the projector | :21:47. | :21:50. | |
and solar system - the other half comes from local schools or local | :21:51. | :21:56. | |
governments. How important is the projector? | :21:57. | :21:58. | |
TRANSLATION: Before this project came in to use it, we had very few | :21:59. | :22:02. | |
students. But since, we have started using the solar power, our number of | :22:03. | :22:06. | |
students has increased in a good way. We have students coming to us | :22:07. | :22:10. | |
from different villages to learn, and not only students - we have | :22:11. | :22:14. | |
other schools coming down to our institute for smart classes. The | :22:15. | :22:17. | |
smart class is a good way of teaching kids these days. They seem | :22:18. | :22:24. | |
to enjoy and learn more than usual. After we introduced part? Class, our | :22:25. | :22:27. | |
school stands proudly in the educational sector. We plan to grow | :22:28. | :22:32. | |
larger as the years pass by. Cool. Whoa! | :22:33. | :22:36. | |
The same system is already in hundreds of rural schools, and | :22:37. | :22:42. | |
they're aiming to add hundreds more this year. | :22:43. | :22:46. | |
And it's not just key for schools - across rural India, businesses can | :22:47. | :22:53. | |
be helped massively by having a reliable power supply. Somana is a | :22:54. | :23:02. | |
seamstress who lives a short drive from Kindapur. She became the | :23:03. | :23:06. | |
breadwinner for her family after her father was taken ill. The more | :23:07. | :23:10. | |
clothing she can prepare, the more she gets paid. With her old method, | :23:11. | :23:15. | |
she could fix a couple of items per day. But thanks to the solar panel | :23:16. | :23:19. | |
on her roof, she can whiz through five or sext per day. Plus, she has | :23:20. | :23:24. | |
a fan, a TV and a light, so she can work earlier and later. | :23:25. | :23:32. | |
One-quarter of India's rural population lives below the official | :23:33. | :23:37. | |
population line - that's 260 million people whose livelihoods could be | :23:38. | :23:41. | |
improved by the addition of basic facilities like electricity. And of | :23:42. | :23:45. | |
course, one key way of helping people out of poverty is... | :23:46. | :23:51. | |
..education. It's always such a privilege to come to a place like | :23:52. | :23:57. | |
this and see how the simplest technology can make a world of | :23:58. | :24:00. | |
difference. That's it from India for the moment. You can see plenty of | :24:01. | :24:06. | |
photos and more backstage gossip on Twitter. We live at: | :24:07. | :24:08. | |
Thanks for watching. See you soon. There will be some chilly | :24:09. | :24:34. | |
nights this weekend. | :24:35. | :24:37. |