How to Build a Human Page #4

Synopsis: Gemma Chan, the star of Humans (2015), explores Artificial Intelligence, and builds an AI version of herself. Are AI humans just around the corner, and can Robot Gemma convince anyone she's the real Gemma?
 
IMDB:
8.1
Year:
2016
60 min
90 Views


so many things to get right.

Will's going to use his existing

robot hardware to test out

the speech-recognition software that

he plans to use on the robot me.

There's an old saying in

computer programming,

it's, "Garbage in, garbage out."

If the robot cannot recognise

what you're saying,

if it just gets one or two words in

a sentence wrong when you speak,

what you get back is

complete gibberish.

'Using speech-recognition software,

can it recognise words it

'hears, turn them into text and then

accurately repeat them?'

Echo on.

OK, Echo on.

Peter Piper picked a piece of pickled

pepper, put it on a panda car,

drove it around the moon and ate

a sausage on the way home.

Peter Piper picked a piece of

pickled pepper, put it on a pan,

click and drag random name

generator, sausage on the way home.

"Random name generator sausage"?

Part of the challenge is to get our

robot to respond as quickly as

a human would.

That's within a tenth of a second.

Hello.

Hello. Too slow. Hello.

Hello. It's too slow.

To respond as fast as a human,

the robot needs to work out what's

being said and what it means

before the end of

a sentence and reply with

a lightning-fast response,

which involves instinct like us.

We've got to be so quick with

understanding what's being

said that we can be replying before

even really the last words come out,

so it's got to be superfast.

Building a machine that can

understand a human and answer

back convincingly is one of

the toughest challenges in Al.

If I speak quicker does it

work better?

If I speak quicker does it

work better?

It's almost fast enough, it's almost

there but it's not quite.

If we can't get the recognition that

quick - blown it, I'm robot.

'We're testing the boundaries

of science with

'a unique artificial

intelligence test -

'building a robot that looks,

sounds and thinks like me.'

WHIRRING:

The robot team is progressing well,

but it's my facial expressions

that are proving hard for the robot

to sync with its brain.

It's quite a scary looking

thing at the moment,

but once it's got the rest of the

core that goes on which

has got the top teeth in it,

and then the skin will go over

the top, it'll start to look

a lot more like Gemma.

The physical part of the build is

tricky, but it's the robot's ability

to converse like a human that's

really going to test our engineers.

With Moore's Law stating that

computer processing power

doubles every two years,

artificially intelligent

achievements in the real world

have been accelerating.

Fast.

In the 19505, computers beat us

at noughts and crosses.

Then, in the 1990s, they beat

us at chess.

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Submitted on August 05, 2018

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