Fifty Shades of Spray Click


Fifty Shades of Spray

A comprehensive guide to all the latest computer industry news. Tech to turn anybody into an artist, virtual reality art galleries, and the team becomes a VR Star Trek crew.


Similar Content

Browse content similar to Fifty Shades of Spray. Check below for episodes and series from the same categories and more!

Transcript


LineFromTo

This week, wall climbing graffiti bots. All aboard the holodeck. And

:00:00.:00:20.

just watch out for the rodents. Oh, there is a mouth! -- mouse!

:00:21.:00:43.

Data is all around us. We generate around 2.5 billion GB of it every

:00:44.:00:55.

day. Think of it as, well, there is no other word for it, really.

:00:56.:01:01.

Enormous. And we are finding lots of new ways of gathering even more of

:01:02.:01:06.

it. Machines are now able to look at videos and interpret what is in the

:01:07.:01:11.

image, and with the number of CCTV cameras around the town, imagine how

:01:12.:01:15.

much more data we can collect. But the real intelligence is not in

:01:16.:01:19.

capturing the data. It is in analysing it. And this is where

:01:20.:01:23.

artificial intelligence might make a real difference, making connections

:01:24.:01:28.

that we humans never would. Big data has accelerated our understanding of

:01:29.:01:31.

medical science in unimaginable ways. It is now influencing how

:01:32.:01:37.

hospitals treat patients, police forces manage crime, and city

:01:38.:01:42.

officials run our towns. And it is inevitable, in the next 50 years,

:01:43.:01:47.

that AI will play an even bigger role in our society, and influence

:01:48.:01:54.

how we go about living. I recently met DJ Patil, President Barack

:01:55.:02:00.

Obama's chief data scientist, who was in charge of shaping how big

:02:01.:02:04.

data is used by the government to make big policy decisions, while

:02:05.:02:08.

ensuring the AIA created by the tech companies treat everyone fairly and

:02:09.:02:12.

make good decisions. That is where we have to start focusing more about

:02:13.:02:16.

energy, is asking the question of how do we actually make sure that

:02:17.:02:19.

these algorithms are going to work the way we want? People talk about

:02:20.:02:23.

self driving cars. It is a self driving car going to see someone

:02:24.:02:28.

with my skin tone, or someone with a darker skin tone? A person with a

:02:29.:02:33.

wheelchair? Is that a person in the dataset? How do start saying... You

:02:34.:02:38.

are suggesting whether a self driving car would recognise you as

:02:39.:02:41.

something it should avoid. Yes, Boyd, because we have different skin

:02:42.:02:45.

colour. Are people with your skin colour the only ones in the data

:02:46.:02:49.

set, am I ignored? Is that an accident? But what about somebody

:02:50.:02:54.

with a handicap? What about a kid on a tricycle? It is not sufficient to

:02:55.:02:59.

say oops about the algorithm. We have to figure out a more robust

:03:00.:03:03.

process as these things are becoming more integrated into our society.

:03:04.:03:08.

And if we have learned anything from this week's Facebook story, it is

:03:09.:03:11.

that tech companies are not the most transparent lunch. Facebook has been

:03:12.:03:15.

around for more than a decade, and only now, by chance, have we got a

:03:16.:03:20.

glimpse of how its moderators decide what we see on its platform. So how

:03:21.:03:28.

do we make sure the AI built by the same tech companies are using our

:03:29.:03:33.

data responsibly? So the first, it comes down to how are you trained?

:03:34.:03:37.

In our training these days, we often have found that technologists are no

:03:38.:03:41.

longer trained in humanities. One of the most critical components of

:03:42.:03:45.

humanities is the notion of ethics, so what we have called for is that

:03:46.:03:48.

every data scientist, every economist, anybody who works with

:03:49.:03:52.

data, must have ethics integrated throughout their entire curriculum.

:03:53.:03:55.

So you can start to have the conversation and dialogue about what

:03:56.:04:00.

are the ethical implications of the choices you make second part of this

:04:01.:04:03.

is how about security of the data? How do you make sure that you are

:04:04.:04:07.

actually building the algorithms with security, the datasets with the

:04:08.:04:10.

purity so people can't just break in. That has to no longer be elected

:04:11.:04:15.

or something outside. That has to be part of the core training. Once you

:04:16.:04:18.

have this component of our training, I think you are going to have a new

:04:19.:04:22.

set of people who have the vocabulary to talk about it. But

:04:23.:04:26.

that doesn't take into account the speed at which it is happening on

:04:27.:04:29.

taking place today. So what we do then? Number one, transparency.

:04:30.:04:32.

President Obama signed an executive order that said by default all data

:04:33.:04:35.

the Federal Government on the US Federal Government, publishers, must

:04:36.:04:39.

be open and machine-readable. And what that allows people to do is be

:04:40.:04:43.

able to access the data, preparing, use it, and innovate with it --

:04:44.:04:49.

compare it. And that is the problem, how do we strike the balance? We

:04:50.:04:53.

need to know that a AI system is not biased as loan from a dataset which

:04:54.:04:56.

includes all of us, and its decisions are fair, but we also

:04:57.:04:59.

don't want to stifle its process will make progress, because when it

:05:00.:05:03.

is used in the right way it really can change things for the better.

:05:04.:05:07.

What we have found in one of the problems around a local jail system

:05:08.:05:11.

is that there is a huge number of people who are just cycling in and

:05:12.:05:15.

out of the system. I mean, the numbers are extraordinary. More than

:05:16.:05:17.

11 million people through 3100 jails, they stay there on average 23

:05:18.:05:22.

days. 95% never go to long-term prison. It turns out there are a lot

:05:23.:05:26.

of mental health issues, a lot of drug addiction. So what happens to

:05:27.:05:30.

those people? Where is the data going? It stays in silos. The

:05:31.:05:35.

healthcare system has a silo, criminal justice. So what happens if

:05:36.:05:38.

you just talk and share that information? Is said do you see

:05:39.:05:46.

Sally and data set and say we saw Sally all the time? Well, why are we

:05:47.:05:52.

sending her to jail, let's send her to the right intervention. So doing

:05:53.:05:58.

that, how much can you save? What is the real impact? It costs 1.5

:05:59.:06:02.

million to train of Ron on the right intervention and share the data, and

:06:03.:06:06.

everything. The first year alone they saved more than $10 million,

:06:07.:06:11.

but more importantly they were able to close a full jail. And later on

:06:12.:06:15.

they close second jail because they are giving people the right care.

:06:16.:06:17.

It was the week that Volvo announced it's working on an AI rubbish truck

:06:18.:06:23.

that will follow collectors from house to house.

:06:24.:06:26.

IKEA said they will release smart light bulbs that can be controlled

:06:27.:06:29.

by voice and sync up with home devices like Alexa

:06:30.:06:31.

And Google fancied another "go" at Go success.

:06:32.:06:37.

The AI system AlphaGo took on the world's number

:06:38.:06:40.

one Go player Ke Jie, and won the series.

:06:41.:06:44.

AlphaGo learned to play by studying old matches and playing thousands

:06:45.:06:47.

The hope now is it will be used in medicine and science in the future.

:06:48.:06:53.

More bad news for Uber this week, as it admitted it underpaid drivers

:06:54.:06:57.

in New York for more than two and a half years.

:06:58.:07:00.

Tens of thousands of drivers will now be paid about $900 each,

:07:01.:07:03.

which will mean Uber paying out tens of millions of dollars.

:07:04.:07:08.

And only one month into the release of Samsung's new Galaxy S8

:07:09.:07:12.

smartphone virus scanner, and it's already been hacked.

:07:13.:07:16.

German hackers fooled the scanner with only a paper printer

:07:17.:07:19.

and a contact lens to make the fake eye.

:07:20.:07:25.

And is RoboCop from the '80s becoming a reality?

:07:26.:07:27.

Well, not quite, but Dubai police want these robots to make up 25%

:07:28.:07:31.

They launched the unit on Wednesday, which can forward video

:07:32.:07:39.

feeds to the police, settle fines, has facial

:07:40.:07:41.

recognition, and can speak nine languages.

:07:42.:07:43.

Graffiti art has been one of the hottest art movements over

:07:44.:07:57.

Like many graffiti artists, Graeme - or Xenz, the name he goes by -

:07:58.:08:02.

In this case, the streets of Bristol.

:08:03.:08:06.

And he has since grown into the artist that we see on the roof

:08:07.:08:10.

Today, he's taking a break to do this for us.

:08:11.:08:14.

But he's more known these days for these amazing natural scenes

:08:15.:08:18.

which are exhibited and sold all over the world,

:08:19.:08:21.

and which incorporate all of the graffiti techniques that

:08:22.:08:23.

Yeah, over time you really understand what the can

:08:24.:08:29.

You know, you come to rely on these tools, like the nozzle

:08:30.:08:34.

Like the way that I use the edge there to keep one edge

:08:35.:08:39.

sharp and one edge faded, then this, you know,

:08:40.:08:41.

So there's a lot of disciplines that go through painting that

:08:42.:08:49.

No, we don't have that kind of patience.

:08:50.:08:54.

So could we pull off something similar to this by combining

:08:55.:08:57.

technology with someone who has no creative talent whatsoever?

:08:58.:08:59.

To find out, we sent Nick Kwek to Estonia...

:09:00.:09:02.

Tartu, Estonia's second-largest city.

:09:03.:09:03.

Like most cities, graffiti and street art provoke

:09:04.:09:05.

It's also home to one of the biggest spray-painted pieces

:09:06.:09:24.

But Albert's been painted dot by dot, and I've been promised I too

:09:25.:09:39.

can achieve artistic genius with the right tools.

:09:40.:09:41.

Believe it or not, these pictures have all been

:09:42.:09:44.

They've been pieced together splodge by splodge

:09:45.:09:49.

My daughter wanted a unicorn on her wall, but I couldn't draw.

:09:50.:10:00.

So that pushed me towards creating this device.

:10:01.:10:03.

To make these magical masterpieces you need the right kit -

:10:04.:10:06.

a smartphone with the appropriate app installed, an external battery

:10:07.:10:08.

pack to keep it fully juiced, a tripod to hold it steady,

:10:09.:10:12.

some paint, and of course the SprayPrinter.

:10:13.:10:29.

First you select an image and align it against

:10:30.:10:32.

So the image is projected like a giant virtual sticker.

:10:33.:10:36.

The phone's camera exposes for the LED on the device,

:10:37.:10:40.

and when it illuminates it sends the can's location to the app.

:10:41.:10:43.

The phone then tells the printer its coordinates

:10:44.:10:46.

and the printer decides when to spray and when not to.

:10:47.:10:50.

Once you get the knack of it, it's actually surprisingly simple to use.

:10:51.:10:53.

You just have to make sure you go from left to right, or right to

:10:54.:10:57.

left, very smoothly, in a straight line.

:10:58.:10:59.

For all its geeky brilliance, it's a real labour of love.

:11:00.:11:02.

Even the most simple of designs takes several

:11:03.:11:04.

Depending on how complex the picture,

:11:05.:11:06.

and the size, the amount of

:11:07.:11:08.

layers, the different colours you want to paint with,

:11:09.:11:10.

you know, that determines how long doing one of

:11:11.:11:13.

You need to move your hand relatively

:11:14.:11:26.

steady, so if you start moving your hand very

:11:27.:11:28.

Not sure I could really stand your for

:11:29.:11:31.

With the next model, you should be able to

:11:32.:11:38.

move your hand relatively freely as you would with

:11:39.:11:41.

rest, the team have already started developing robotic

:11:42.:11:56.

versions to do the spraying for them, meaning larger more complex

:11:57.:11:59.

I developed this extra accessory for the SprayPrinter to

:12:00.:12:02.

atomise the process, because for high scale

:12:03.:12:04.

images the hand-held method takes too much time and

:12:05.:12:07.

too, hopefully speeding things up a bit.

:12:08.:12:18.

But does the printer help artistic expression, or

:12:19.:12:20.

gives like guidelines of how to paint.

:12:21.:12:27.

It's like sort of a colouring book, but

:12:28.:12:29.

you can go over the lines, but the paint

:12:30.:12:31.

will still only land in the

:12:32.:12:33.

I think for people like myself, we call them

:12:34.:12:46.

LAUGHTER And I think this device gives them

:12:47.:12:48.

It started off only a few small dots.

:12:49.:12:52.

You actually have to stand back a few feet to get the

:12:53.:12:55.

full view, to get the right perspective on it.

:12:56.:12:58.

So what would you like to see spray-painted next?

:12:59.:13:12.

Well, the guys have been holding a competition

:13:13.:13:15.

and this winning submission, just announced, will soon be painted on

:13:16.:13:18.

a local giant abandoned power station

:13:19.:13:19.

chimney for all to see, but painting on this

:13:20.:13:22.

curved structure has posed new

:13:23.:13:23.

problems, which Mihkel is determined to solve.

:13:24.:13:25.

I thought it would be a good idea to use a vacuum

:13:26.:13:29.

Rover, so this is just a four wheeled platform that drives across

:13:30.:13:32.

It attaches to the wall using vacuum.

:13:33.:13:42.

Yeah, and in true Blue Peter fashion, here's one I made

:13:43.:13:45.

Well, that was Nick Kwek with the SprayPrinter.

:13:46.:13:59.

It helps us to get these large images

:14:00.:14:09.

up easier but no, I think I'm quite comfortable

:14:10.:14:12.

It definitely has its advantages, for

:14:13.:14:17.

Well, in the meantime, this is beautiful.

:14:18.:14:20.

Thanks so much for doing this for us.

:14:21.:14:22.

We're going to stay on and art tip now.

:14:23.:14:29.

Here at Photo London art takes many forms.

:14:30.:14:37.

But the thing I've seen that I've grappled with the

:14:38.:14:39.

most is the idea of a virtual reality gallery.

:14:40.:14:43.

Is this really a way to fully experience art?

:14:44.:14:48.

So what's going on in here, and in here?

:14:49.:14:57.

Well, in the 1800s when people saw photography for the first time they

:14:58.:15:00.

were absolutely wowed by it, but of course now

:15:01.:15:03.

So what's happening is some of those initial images are being

:15:04.:15:09.

brought back to life in virtual reality.

:15:10.:15:15.

original original photographic images were shown has been recreated

:15:16.:15:21.

Well, initially I wasn't sure that looking at these images in

:15:22.:15:27.

virtual reality seemed like something that actually makes

:15:28.:15:30.

sense, but apparently you can pick up the

:15:31.:15:33.

images by holding your hand over it like that,

:15:34.:15:37.

and then you can hold the image in your hand...

:15:38.:15:40.

You can really see the texture of it as well.

:15:41.:15:47.

This genuinely feels like I'm standing in

:15:48.:15:49.

In fact, it actually feels quite hazardous

:15:50.:15:53.

because you can see smoke coming off it and that is proper serious heat.

:15:54.:15:57.

But whilst the juxtaposition between the origins of photography

:15:58.:16:06.

and a new visual medium are deliberate, making sure it

:16:07.:16:09.

provides a meaningful experience for those with a yearning for art

:16:10.:16:13.

Nothing fills me with a greater melancholy than going

:16:14.:16:21.

into an exhibition and seeing somebody with a virtual reality

:16:22.:16:24.

headset on, and having to queue and wait for your turn on it -

:16:25.:16:28.

So what I've tried to do in this installation is to make that part

:16:29.:16:33.

of the actual experience, so when you're not in the room

:16:34.:16:36.

you can look at people with their headsets

:16:37.:16:38.

Watching the goings-on of people wandering around is quite strange

:16:39.:16:42.

and surreal to look at, so hopefully it's still interesting

:16:43.:16:45.

as an artwork even when you're not in the headset.

:16:46.:16:49.

So I can hear some sound coming from over here.

:16:50.:16:52.

That's because of the binaural sound that's built in,

:16:53.:16:54.

and there seems to be something happening outside...

:16:55.:16:59.

I believe this is the Chartists' revolt.

:17:00.:17:02.

This is a lot of people objecting to photography.

:17:03.:17:06.

This wasn't the only VR at the show, though.

:17:07.:17:09.

One family of art collectors wanted to virtually take

:17:10.:17:11.

You can have your art museum in your pocket.

:17:12.:17:24.

I can have 200 metre museum just in my laptop.

:17:25.:17:26.

That could be sharing a collection internationally, a trip to a

:17:27.:17:29.

virtual art gallery for those who are housebound, or

:17:30.:17:32.

introducing a new audience to art who might be more

:17:33.:17:35.

The real-life version of this statue is

:17:36.:17:38.

I will head towards it and have a closer look.

:17:39.:17:42.

I can actually see the size of it by those

:17:43.:17:44.

And in fact the size of that piece of art behind

:17:45.:17:48.

it, the scale of all of this, is absolutely massive.

:17:49.:17:51.

It would require such a large building to actually

:17:52.:17:54.

Amidst the physical art were the latest

:17:55.:17:59.

imaging, entire film is superimposed on

:18:00.:18:03.

single images, and this Paris park scene.

:18:04.:18:07.

So behind this photograph we are looking at here is actually a

:18:08.:18:10.

massive plate of LED lights, all spread out with an inch between

:18:11.:18:14.

them, so each time you can see a person crossing the screen it's

:18:15.:18:21.

actually a combination of these lights being dimmed in that pattern,

:18:22.:18:24.

and what the human eye fills an in between to make it

:18:25.:18:29.

One thing that seemed clear by the end of the day,

:18:30.:18:34.

though, was that VR can feel a natural part of an art show, and

:18:35.:18:38.

that I'm never going to be an art expert.

:18:39.:18:42.

One of the brilliant things about working

:18:43.:18:56.

ambitions at one point or another, which is why

:18:57.:19:01.

this week Mark Cieslak became the captain of a starship!

:19:02.:19:06.

He took some of the rest of the Click family

:19:07.:19:09.

with him, to boldly go where no Mark has gone before.

:19:10.:19:14.

These are the virtual voyages of the BBC Click

:19:15.:19:19.

Our mission: To wear VR headsets and discover strange, new

:19:20.:19:25.

technology, and boldly go where no TV reporter has gone before.

:19:26.:19:50.

Virtual reality game Star Trek Bridge Crew

:19:51.:19:54.

brings together up to four players, each

:19:55.:19:55.

taking a different role on the

:19:56.:19:57.

The beauty of going where no one has gone before

:19:58.:20:03.

is that starship travel involves an awful lot of sitting down.

:20:04.:20:07.

Sitting down is great for virtual reality

:20:08.:20:09.

because the headsets have got these cables.

:20:10.:20:12.

If you're moving around it easy to get caught up with them.

:20:13.:20:16.

And where better to be sitting in the

:20:17.:20:24.

Captain's chair of a Federation starship?

:20:25.:20:26.

Headsets on, it's time for the Click team to become a starship

:20:27.:20:29.

The early missions are all about orientating us with the bridge

:20:30.:20:54.

As helmsman, you are the ship's navigator.

:20:55.:20:58.

The headset shows us what the bridge looks like, but the

:20:59.:21:01.

PlayStation motion controllers allow us to interact with the various

:21:02.:21:03.

controls we have to master in order to fly the ship.

:21:04.:21:07.

We don't have time for sight seeing, though, as we receive

:21:08.:21:29.

a distress signal from a stricken vessel.

:21:30.:21:31.

My vessel has lost all power and our life-support systems are

:21:32.:21:34.

Can you transport the survivors to here?

:21:35.:21:44.

CHUCKLES That wasn't in the training.

:21:45.:21:54.

LAUGHTER We're homing in at an alarming rate,

:21:55.:21:56.

There are no options within transporter.

:21:57.:21:58.

It's at this moment that the action takes

:21:59.:22:07.

a turn which will appeal to Star Trek superfans.

:22:08.:22:11.

OK, guys, this is the Kobayashi Maru scenario.

:22:12.:22:16.

This is an impossible to win situation.

:22:17.:22:19.

Bring us about so we can actually see that

:22:20.:22:41.

Line up the phasers, and torpedoes away.

:22:42.:22:56.

Yeah, everybody, we just violated a peace treaty.

:22:57.:23:06.

It's pretty warm work being in virtual reality.

:23:07.:23:11.

It feels like it's social VR at its best, really.

:23:12.:23:14.

If you don't have it you're not going to complete the mission.

:23:15.:23:18.

I thought we actually had our lives on the

:23:19.:23:22.

That ably demonstrates the power of teamwork.

:23:23.:23:25.

It's really, really important that everybody plays their role on the

:23:26.:23:28.

bridge, because if you don't then chaos ensues.

:23:29.:23:31.

We had a couple of sticky moments there, but I think we

:23:32.:23:34.

managed to pull it back and keep it together as a crew.

:23:35.:23:38.

And the result was a successful mission.

:23:39.:23:41.

Or like us on Facebook, too, where you can see

:23:42.:23:50.

Now, while you're watching this we are doing a live show at the Hay

:23:51.:23:55.

And next week on the programme you can see a

:23:56.:24:02.

little bit of what we're getting up to.

:24:03.:24:07.

And if you're coming, I hope you enjoy the

:24:08.:24:10.

With a bank holiday weekend now upon us,

:24:11.:24:36.

we are set to see a change in the hot, dry weather,

:24:37.:24:39.

that has been with us for the past few days.

:24:40.:24:42.

Here was the scene on Friday in Moray.

:24:43.:24:44.

One of our Weather Watchers captured this.

:24:45.:24:47.

Tech to turn anybody into an artist, virtual reality art galleries, and the team becomes a VR Star Trek crew.


Download Subtitles

SRT

ASS