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Comey into his links with Russia. That is your lot from me but now on | :00:00. | :00:07. | |
BBC News week. -- week. This week, swaying | :00:08. | :00:11. | |
votes on Facebook. And the stretchy and slimy world of | :00:12. | :00:18. | |
soft robotics. It is hard to believe that the world | :00:19. | :00:54. | |
is safer than it used to be. It is but the nature of terror attacks in | :00:55. | :00:59. | |
the west in the last few years, the increasing use of vehicles, knives | :01:00. | :01:02. | |
and guns to carry out prolonged attacks have forced authorities to | :01:03. | :01:06. | |
think differently about how to deal with a terrorist incident. And, of | :01:07. | :01:17. | |
course, they are not confined to the west. In some parts of the world | :01:18. | :01:21. | |
these atrocities are more common and often have more casualties. It is | :01:22. | :01:28. | |
difficult to predict when and where a terrorist attack will occur but | :01:29. | :01:31. | |
while the authorities cannot predict, they can prepare for the | :01:32. | :01:39. | |
worst. This is a large-scale counterterrorism training exercise. | :01:40. | :01:46. | |
It was a combined effort, including London's Metropolitan Police, fire, | :01:47. | :01:49. | |
ambulance and river services. However, training on this scale is | :01:50. | :01:53. | |
expensive and requires large numbers of personnel and huge amount of | :01:54. | :01:57. | |
planning, so it can't happen that often. But there are new ways to | :01:58. | :02:02. | |
train more people individually. Mark Chisholm ACAS been taking part in a | :02:03. | :02:07. | |
new type of terror training. -- has been taking part. Since 2015 from | :02:08. | :02:14. | |
all across Europe a group of 14 partners including law enforcement, | :02:15. | :02:17. | |
emergency services, transport companies and universities have been | :02:18. | :02:21. | |
working together on a three-year project to create training | :02:22. | :02:24. | |
simulation for real-world terrorist attacks. | :02:25. | :02:29. | |
The project is called Auggmed and has been funded by an EU | :02:30. | :02:32. | |
Part of it has been designed here at Sheffield Hallam University. | :02:33. | :02:37. | |
Rather than build new technologies from the ground up, the hardware | :02:38. | :02:39. | |
and software that is at the core of this training system is tech | :02:40. | :02:43. | |
that is more commonly found in video games. | :02:44. | :02:45. | |
And that technology is proving to be a flexible training tool. | :02:46. | :02:50. | |
You can act out a lot more scenarios that would be too dangerous to do | :02:51. | :02:54. | |
It's a lot cheaper, it's more cost effective, | :02:55. | :03:04. | |
it's easier to set up, and it offers a whole | :03:05. | :03:06. | |
range of scenarios that you couldn't do in real life, | :03:07. | :03:09. | |
because they would just be too dangerous or too complicated. | :03:10. | :03:12. | |
Virtual simulations that can be used to train a wide variety | :03:13. | :03:16. | |
of different people, from paramedics to the police, | :03:17. | :03:18. | |
and even those employed by the transport networks. | :03:19. | :03:20. | |
For this scenario we're going to put a new bag down here. | :03:21. | :03:24. | |
And so the trainees are going to be looking for this bag. | :03:25. | :03:29. | |
A suspect bag has been placed in an accurate virtual model | :03:30. | :03:32. | |
of a real location - a subway station in the Spanish | :03:33. | :03:34. | |
There is what I'm assuming is some kind of explosive | :03:35. | :04:01. | |
So in this situation I'm going to start evacuating | :04:02. | :04:06. | |
I'm going to tell them to start to evacuate. | :04:07. | :04:17. | |
Now your people are evacuating towards the bomb, | :04:18. | :04:21. | |
So you might want to go on the platforms to start evacuating | :04:22. | :04:25. | |
So all of the passengers are all being driven by an AI, yeah? | :04:26. | :04:30. | |
But the people behave in a pretty realistic fashion? | :04:31. | :04:33. | |
That's all based on scientific data of what people do | :04:34. | :04:37. | |
So you've successfully started evacuating everybody who has been | :04:38. | :04:41. | |
We can't show too much of this as the images are just too graphic. | :04:42. | :04:51. | |
In the aftermath of an explosion, a paramedic trainee must triage | :04:52. | :04:54. | |
the injured passengers, applying different coloured | :04:55. | :04:56. | |
The different colours indicate the urgency | :04:57. | :05:01. | |
It's an unsettling and distressing experience. | :05:02. | :05:07. | |
Overwhelming sound and distressing images are designed to replicate | :05:08. | :05:14. | |
But this system isn't just the work of counterterrorism researchers | :05:15. | :05:20. | |
To find out more, I travelled to the real location | :05:21. | :05:27. | |
In recent years, terrorist atrocities have been carried | :05:28. | :05:39. | |
out all over Europe, highlighting the international | :05:40. | :05:41. | |
nature of the response to this terrorism. | :05:42. | :05:43. | |
Here in Barcelona, the emergency services themselves have played | :05:44. | :05:45. | |
a key role in the design of the Auggmed virtual | :05:46. | :05:48. | |
Jose Jurado is a doctor and emergency first | :05:49. | :05:55. | |
He's been helping to fine tune the system to improve | :05:56. | :06:04. | |
its utility to emergency services and paramedics. | :06:05. | :06:05. | |
So this is the station that I saw in the VR model? | :06:06. | :06:09. | |
What is the big thing that you get from the virtual | :06:10. | :06:12. | |
reality, from the fact that it is so immersive, that | :06:13. | :06:15. | |
When I get to a real situation, I am used to it, | :06:16. | :06:22. | |
So it doesn't surprise me so much as it could. | :06:23. | :06:29. | |
It is quite unusual being in the real station, | :06:30. | :06:31. | |
having spent a little bit of time in the virtual version. | :06:32. | :06:39. | |
What has been interesting walking around here is noticing | :06:40. | :06:42. | |
I now know the layout, the geography of the station. | :06:43. | :06:45. | |
I know where all of the exits are, I know where the escalators are, | :06:46. | :06:48. | |
and which direction of travel they go in. | :06:49. | :06:52. | |
So even I was able to learn something very, very quickly in that | :06:53. | :06:55. | |
virtual reality version of this subway station. | :06:56. | :06:57. | |
Robert Guest is from Birmingham University and is part | :06:58. | :07:01. | |
You can't really get a physical hands on an object in virtual | :07:02. | :07:12. | |
reality, but what we can trade is things like | :07:13. | :07:14. | |
We can look at emotional management and general communication skills | :07:15. | :07:18. | |
We see terrorists constantly changing their tactics. | :07:19. | :07:23. | |
How do you guys respond to those changes of tactics? | :07:24. | :07:29. | |
The benefit of this project as a whole is we can rapidly | :07:30. | :07:32. | |
change what scenarios are actually being trained. | :07:33. | :07:40. | |
So for new tactics being used, out in the public, in reality, | :07:41. | :07:43. | |
we can bring those into a virtual world and allow people to train | :07:44. | :07:47. | |
The next stage of this system's development is a haptic vest, | :07:48. | :07:51. | |
which provides force feedback to trainees simulating | :07:52. | :07:53. | |
It's also fitted with heating elements, which make | :07:54. | :07:58. | |
If you are in a stressful environment like this one, | :07:59. | :08:05. | |
there is a good chance you will start to get | :08:06. | :08:07. | |
As soon as you get uncomfortable, then that makes it a lot more | :08:08. | :08:14. | |
difficult to do your job and creates an environment for them | :08:15. | :08:17. | |
which is as close as it can be to the real one. | :08:18. | :08:21. | |
This whole system isn't designed to replace real-world | :08:22. | :08:23. | |
training but to augment it, to allow people to betray | :08:24. | :08:26. | |
dramatically if need be, constantly reinforcing their skills. | :08:27. | :08:28. | |
Skills which recently have been sadly tested all too often. | :08:29. | :08:31. | |
Now, while the professional first responder is always | :08:32. | :08:37. | |
going to be better trained, it is ask the public who are almost | :08:38. | :08:40. | |
always going to be first on the scene of an attack. | :08:41. | :08:45. | |
Current advice from the British police is to run from an incident, | :08:46. | :08:48. | |
rather than surrender or try to negotiate with attackers. | :08:49. | :08:55. | |
This online video also explains how and where to hide | :08:56. | :08:58. | |
Now, if you dial 999, but it is not safe to talk out loud, | :08:59. | :09:10. | |
the operator will give you the option to dial 55, | :09:11. | :09:13. | |
to show you haven't called by accident and you really | :09:14. | :09:16. | |
55 looks like SS, which stands for silent solution. | :09:17. | :09:19. | |
There is also an app called Citizen Aid, which uses advice | :09:20. | :09:22. | |
from combat situations to help users administer first aid and make more | :09:23. | :09:25. | |
informed decisions in different emergency situations. | :09:26. | :09:41. | |
Hello and welcome to the week in tech. | :09:42. | :09:44. | |
It was the week that Uber refunded customers for journeys taken | :09:45. | :09:47. | |
near last Saturday night's London terror attacks, after pricing had | :09:48. | :09:50. | |
automatically surged due to demand - a function they disabled | :09:51. | :09:52. | |
The comment section on Britney Spears Instagram account | :09:53. | :10:00. | |
has been used by Russian speaking hackers to test malware. | :10:01. | :10:05. | |
And Snapchat specs have gone on sale in the UK. | :10:06. | :10:09. | |
If you think this is a sensible way to go out. | :10:10. | :10:12. | |
Google's Streetview cars have been tracking air pollution. | :10:13. | :10:14. | |
After a year of the vehicles driving around the streets of Oakland, | :10:15. | :10:18. | |
California, data localised to individual roads has become | :10:19. | :10:20. | |
available, with initial recordings of black carbon, | :10:21. | :10:22. | |
nitric oxide and nitrogen dioxide being revealed. | :10:23. | :10:24. | |
Anyone with kids can tell you what it's like trying to get | :10:25. | :10:27. | |
But, sadly, I don't have a new gadget to tell you about that. | :10:28. | :10:41. | |
It's actually the play clay that's gone high-tech. | :10:42. | :10:44. | |
Doh Universe can conduct electricity and aims to help kids | :10:45. | :10:46. | |
learn about circuits, sound, light and | :10:47. | :10:48. | |
And, finally, researchers at MIT have developed sensors | :10:49. | :10:51. | |
for the grippers of robotic arms that aimed to help bots grab things | :10:52. | :10:55. | |
with the right amount of pressure. The GelSight sensors aim to make | :10:56. | :10:58. | |
negotiating smaller objects possible, as well as making general | :10:59. | :11:00. | |
household tasks easier to approach - which would be handy, | :11:01. | :11:03. | |
if one day robots are to become ordinary household companions. | :11:04. | :11:21. | |
This annual running of the nerds can only mean one thing. | :11:22. | :11:24. | |
We are in San Jose for Apple's worldwide developers' conference, | :11:25. | :11:26. | |
It's an event the company doesn't typically used to make big | :11:27. | :11:31. | |
product announcements, but, this year, perhaps | :11:32. | :11:33. | |
feeling the heat a little, they broke with tradition | :11:34. | :11:35. | |
It's been 15 years since we held the developer conference in San Jose | :11:36. | :11:44. | |
The HomePod is a direct competitor to assistance made | :11:45. | :11:56. | |
It will cost $349 and be available later this year | :11:57. | :12:00. | |
It will be controlled by Siri, but Apple isn't really calling | :12:01. | :12:10. | |
They say it is a music device first and foremost. | :12:11. | :12:19. | |
We weren't allowed to film it in action, but I was given | :12:20. | :12:22. | |
a private listen and, well, it does sound fantastic. | :12:23. | :12:24. | |
One of the potential downside is that you need an Apple music | :12:25. | :12:28. | |
subscription in order to get the full integration. | :12:29. | :12:30. | |
So if you prefer to use Spotify or Pandora, maybe not | :12:31. | :12:33. | |
In other news, Apple says it can become the biggest augmented | :12:34. | :12:37. | |
This demo is from the new production house run by Peter Jackson, | :12:38. | :12:41. | |
the man famed for creating the Lord Of The Rings movies. | :12:42. | :12:45. | |
And the iPad has been given a new lease of life. | :12:46. | :12:48. | |
They announced a new 10.5 inch iPad pro and the next version of Apple's | :12:49. | :12:52. | |
operating system will see the tablet get a bunch of extra features. | :12:53. | :12:57. | |
Many people might see this as a kind of middle ground between getting | :12:58. | :13:01. | |
a very expensive computer, but still being able | :13:02. | :13:03. | |
Several thousand developers turn up to WWDC every year. | :13:04. | :13:13. | |
Many more would come if they could get tickets. | :13:14. | :13:15. | |
Among the masses, I found the youngest attendee, | :13:16. | :13:17. | |
a ten-year-old who had come all the way from | :13:18. | :13:20. | |
I just enjoy the fact that I can turn, like, | :13:21. | :13:29. | |
my ideas into reality by programming and making apps. | :13:30. | :13:31. | |
So this is my most recent app, which I published six days ago. | :13:32. | :13:35. | |
You can click anywhere to place a block. | :13:36. | :13:37. | |
Your goal is to get the highest tower blocks. | :13:38. | :13:39. | |
So you are obviously much younger than everybody here? | :13:40. | :13:42. | |
So what do you want to do when you grow up? | :13:43. | :13:45. | |
Are you going to carry on making apps? | :13:46. | :13:48. | |
How can I just turn myself into a turtle and grow a shell? | :13:49. | :14:00. | |
I would like to create apps I can revolutionise the world. | :14:01. | :14:13. | |
And I also want to teach the world coding and get them into coding, | :14:14. | :14:17. | |
so they can actually improve all the technology we have and make | :14:18. | :14:20. | |
A young man destined for great things, I'm sure. | :14:21. | :14:31. | |
Think robots and maybe you'll picture something like this. | :14:32. | :14:35. | |
But what about robotic muscle and smart materials that | :14:36. | :14:41. | |
could act as human skin, all clothes that rehabilitate | :14:42. | :14:46. | |
Well, that is part of what's called soft robotics and this team | :14:47. | :14:55. | |
at Bristol Robotics Lab are bioengineering technologies | :14:56. | :14:57. | |
This is a bucket of alien saliva, right? | :14:58. | :15:06. | |
Yeah, this is the same stuff that drips out of the alien mouth. | :15:07. | :15:09. | |
So Ridley Scott just used a whole bunch of that. | :15:10. | :15:13. | |
Though, in this case, it is to simulate blood. | :15:14. | :15:18. | |
This soft robot mimics how some bacteria move through our bodies. | :15:19. | :15:22. | |
In the future, it is thought that nano robots will take a similar trip | :15:23. | :15:26. | |
through our veins looking for infection and illness. | :15:27. | :15:30. | |
Some of the projects they are working on here involves | :15:31. | :15:36. | |
making assistive technology for elderly and disabled people, | :15:37. | :15:40. | |
like this pneumatic artificial muscle. | :15:41. | :15:43. | |
It can be made into any shape and built into clothing. | :15:44. | :15:47. | |
As you apply air, it changes its shape so it | :15:48. | :15:51. | |
could for instance help people with limited grip strength. | :15:52. | :15:56. | |
Its force is only dependent on how much air pressure you apply. | :15:57. | :15:59. | |
And here is some material that can sense when that | :16:00. | :16:02. | |
This diametric elastomer can detect when it's being stretched, | :16:03. | :16:08. | |
so it can sense when you are trying to move and add extra power to maybe | :16:09. | :16:12. | |
And it can not only detect movement, it can also change its shape | :16:13. | :16:20. | |
when you apply a high enough voltage. | :16:21. | :16:22. | |
You could use it for changeable clothing, clothing that | :16:23. | :16:25. | |
You can use it as a sort of second skin to help | :16:26. | :16:29. | |
with deep vein thrombosis, to assist with pumping blood. | :16:30. | :16:32. | |
It can even be layered up to create stronger artificial muscles. | :16:33. | :16:34. | |
It doesn't seem like it is doing a lot, but, actually, | :16:35. | :16:38. | |
it is very thin, it weighs almost nothing - the active part | :16:39. | :16:41. | |
of which only weighs, let's say, four grams, | :16:42. | :16:43. | |
is complicated, none of this is extremely high-tech, | :16:44. | :16:48. | |
using like billions of transistors, and it is simple voltage | :16:49. | :16:51. | |
I think that is one of the big advantages of soft robotics, | :16:52. | :16:57. | |
In a complicated robotic system you have a lot | :16:58. | :17:01. | |
With these sorts of things it is very simple and | :17:02. | :17:06. | |
The intelligence is in the design and immediately used, | :17:07. | :17:09. | |
The robotics lab in Bristol is 50,000 square feet of innovation | :17:10. | :17:17. | |
filled with hundreds of different types of robots. | :17:18. | :17:22. | |
But what nearly all have in common is they need power to run. | :17:23. | :17:27. | |
Over in the bio energy lab, scientists are working on one freely | :17:28. | :17:31. | |
available resource the world will never run out of - | :17:32. | :17:35. | |
Each one of these cylinders is a microbial fuel cell device. | :17:36. | :17:41. | |
It turns waste water into electricity using microbes. | :17:42. | :17:45. | |
That is their favourite item on the menu. | :17:46. | :17:52. | |
In this unit, two litres of urine is fed into the fuel cell pack. | :17:53. | :18:00. | |
The microbes eat what they need, creating electrons as a by-product. | :18:01. | :18:04. | |
And because they are attached to an electrode's surface, | :18:05. | :18:07. | |
it is all collected to produce about 30-40 milliwatts of power. | :18:08. | :18:11. | |
Now that's enough to slowly charge a smartphone, | :18:12. | :18:14. | |
power smart displays, or power internal lights | :18:15. | :18:18. | |
When we do it out of the lab, we install these units out | :18:19. | :18:26. | |
of the lab, we have many more of them connected | :18:27. | :18:28. | |
If you are going to Glastonbury this year, you might see these | :18:29. | :18:36. | |
If you choose to use the urinals, you'll be part of an experiment | :18:37. | :18:42. | |
which is literally putting the P into power. | :18:43. | :18:49. | |
These are E Ink displays, which don't require a lot of power. | :18:50. | :18:54. | |
But a lucky few may be able to charge their phones for a bit, | :18:55. | :18:58. | |
Most of the pee used here comes from staff donors at the lab. | :18:59. | :19:05. | |
It's only good for the microbes for an hour or so, | :19:06. | :19:08. | |
Around the world, scientists are looking at different ways | :19:09. | :19:20. | |
Here, it is alternative sources of power. | :19:21. | :19:24. | |
At soft robotics, it's smart materials and possibly | :19:25. | :19:27. | |
But in Italy's Scuola Superiore Sant'Anna, | :19:28. | :19:32. | |
Ana Matronic went there to look at attempts to simulate touch. | :19:33. | :19:41. | |
I am at the biorobotics lab where researchers are trying | :19:42. | :19:44. | |
to merge human physiology with machine engineering. | :19:45. | :19:47. | |
The team are working on a bionic fingertip that is capable | :19:48. | :19:50. | |
The human sense of touch is an incredibly complex one. | :19:51. | :19:57. | |
I don't even need to look at these three pieces of plastic to sense | :19:58. | :20:01. | |
the differences in the coarseness of the ridges. | :20:02. | :20:04. | |
This of course presents a huge problem to people | :20:05. | :20:06. | |
How do you transfer that same sensitivity into a prosthetic hand? | :20:07. | :20:13. | |
To create a machine capable of sensing and transmitting tactile | :20:14. | :20:18. | |
data, first we need to understand how bodies decode sensory stimuli. | :20:19. | :20:22. | |
Fingertips have the highest concentration of sensation almost | :20:23. | :20:31. | |
Thanks to 20,000 nerve fibres on each finger. | :20:32. | :20:36. | |
They react to sensory information as we move our fingers | :20:37. | :20:42. | |
Some respond to pain, some to temperature. | :20:43. | :20:50. | |
Others react to pressure or vibration. | :20:51. | :20:55. | |
This is the characteristic that allows our skin to interact | :20:56. | :20:59. | |
with the environment and that will allow an object, | :21:00. | :21:02. | |
The bionic fingertip registers the textures it touches | :21:03. | :21:08. | |
On screen it may look simple, but that is exactly the language | :21:09. | :21:14. | |
As we touch objects, it sends nerve impulses to the brain. | :21:15. | :21:22. | |
And the tiny, subtle variations in how the skin deforms as we touch | :21:23. | :21:26. | |
changes those impulses and how we perceive texture. | :21:27. | :21:32. | |
This capitalises on an actual principle and can be more effective | :21:33. | :21:36. | |
as humans and animals in general can interact with the environment. | :21:37. | :21:41. | |
The professor and his team have already had some success. | :21:42. | :21:47. | |
Dennis Sorensen was one of the first amputees to try out | :21:48. | :21:50. | |
The output from the finger was directly connected | :21:51. | :21:53. | |
to the healthy nerves in his upper arm. | :21:54. | :21:57. | |
I could tell the difference between where it was very rough and smooth. | :21:58. | :22:01. | |
And, since this first clinical trial a couple of years ago, | :22:02. | :22:11. | |
the team had been trying to increase the number of textures | :22:12. | :22:14. | |
The experiments that we are showing now are demonstrating | :22:15. | :22:21. | |
the capability to encode, for examples silk, from cotton, | :22:22. | :22:25. | |
from elastic, from wool, from different kinds of materials. | :22:26. | :22:31. | |
And in this way we could restore a more natural sense | :22:32. | :22:34. | |
of touch to the person wearing the prosthesis. | :22:35. | :22:41. | |
What is learned here can be transferred to other applications. | :22:42. | :22:44. | |
For example, a surgical robot could use this technology | :22:45. | :22:48. | |
to identify tumours, which would feel different | :22:49. | :22:51. | |
Another kind of application is for rescue. | :22:52. | :22:58. | |
To allow to be present in the environment, not | :22:59. | :23:01. | |
only through vision, but to have more senses available | :23:02. | :23:05. | |
Think for example of the nuclear disasters, or in the case | :23:06. | :23:11. | |
The robot can go and touch in the perceived environments, | :23:12. | :23:17. | |
based also on the sensory feedback that you can have remotely | :23:18. | :23:21. | |
it can be integrated into simple things like gloves. | :23:22. | :23:30. | |
For instance, I could be anywhere in the world. | :23:31. | :23:34. | |
My husband back in New York can give me the sensation of petting our cat. | :23:35. | :23:38. | |
And that would be transferred through these actuators to me | :23:39. | :23:42. | |
Well, I can't give you that at the moment, Ana, | :23:43. | :23:53. | |
but in the meantime, how about a hug from this chap? | :23:54. | :23:56. | |
That's it from the Bristol Robotics lab. | :23:57. | :23:58. | |
Next week, we are going to be in Los Angeles for the annual E3 | :23:59. | :24:02. | |
We will tweet everything we see at BBC Click. | :24:03. | :24:09. | |
You can also follow us on Facebook for loads of extra content | :24:10. | :24:12. | |
Thanks for watching and we will see you in LA. | :24:13. | :24:36. | |
It's felt a little more like autumn for some this week and although high | :24:37. | :24:40. | |
pressure will build into next week and we'll hopefully see more | :24:41. | :24:43. | |
of these skylines, this was sent in late in the day on Friday, | :24:44. | :24:48. |