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NARRATOR : Your smart car
will shift shapes.
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You'll fax
three-dimensional objects.
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And intelligent machines will
run your life if you let them.
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Technology is pushing
from every direction. . .
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getting faster
with each passing second.
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Prepare yourself.
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The future
is closer than you think.
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The human brain
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does 100 trillion calculations
per second.
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By 2050, your desktop computer
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will have the equivalent
processing power
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of 9 billion brains.
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NARRATOR :
We're in the midst
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of a powerful acceleration
in computer technology.
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And when computers gain
artificial intelligence --
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thinking, reasoning,
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and communicating ideas
like a human can --
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it will change everything.
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The question is,
will machines dominate humans,
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or will we still control
the Earth?
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At the center of the debate
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is the legendary futurist
Ray Kurzweil.
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Within 30 years, we'll have
the hardware and the software
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to create
superhuman intelligence.
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These machines
will be vastly superior
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to unaided human intelligence.
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They may keep us around,
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but we won't be able
to keep up with them.
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Actually, l think
we'll use these machines
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to expand
our own intelligence.
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So we won't have trouble
keeping up with the machines.
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We're gonna become the machines.
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NARRATOR :
We're already becoming machines.
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We wear digital earpieces.
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We're useless
without our wireless devices.
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And in the future,
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we won't know where we end
and the technology begins.
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The exoskeleton is an analogue
to the human body.
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lt has structures
which replace bones.
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lt has actuators
which act as muscles.
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lt has computers
that act like brains.
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NARRATOR : lts computer brain
allows the exoskeleton
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to move in harmony
with your body,
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giving you superstrength.
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JACOBSEN :
He can carry a 1 50-pound load
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with no more effort on him
than he's putting now.
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He was pulling
the 200-pound pulldowns.
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He quit after 500 out of boredom
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because the loads on him
never got more than 5 pounds.
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He can march for 1 0 hours.
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l mean, l don't think
he gets fatigued.
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NARRATOR : The exoskeleton is not
just about brute strength.
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You can still move
with great agility.
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You simply put it on,
and it works.
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NARRATOR :
lt's easy to see why an army
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of exoskeleton-enhanced soldiers
would appeal to the military.
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But they can also become a part
of everyday civilian life.
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JACOBSEN :
l think, in 50 years,
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that systems such as this can be
hanging on a hook in the house.
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NARRATOR : You'll be able
to strap on an exoskeleton
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to do any heavy lifting
around the house
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or pull your car out of the mud.
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But will the exoskeleton
ever be smart enough
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to operate on its own?
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JACOBSEN :
lt's possible in the future
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that the exoskeleton could not
have the person in the cavities
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so it actually becomes
an autonomous robot.
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And, yes,
those machines will reason.
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NARRATOR : But how do you teach
a machine to reason?
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l nstead of just building
bigger and faster computers,
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some scientists believe we
should follow nature's example.
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lf we let intelligence evolve,
as it did in our brains,
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the computers
will teach themselves.
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We're making such great strides
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in understanding
how our brains work.
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Artificial intelligence
is inevitable.
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NARRATOR : Professor Larry Yaeger
was a consultant
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on the movie ''Terminator 2. ''
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He's created a computer program
filled with digital creatures
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to see if he can get them
to evolve intelligence.
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He calls his experiment
''Polyworld. ''
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Polyworld is an electronic
primordial-soup experiment.
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These colored trapezoids
are the critters of this world.
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NARRATOR : Right now,
his electronic critters
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are about as smart
as your average worm,
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with the equivalent
of about 300 brain cells.
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YAEGER : The bright-green blocks
are the pieces of food.
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They consume that food.
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They use the energy they get
from it to live their lives.
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NARRATOR :
His critters are wired
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with the basic biological
imperatives of life --
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to survive and procreate.
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And their neural-network brains
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can make simple decisions
about how they do that.
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YAEGER :
lt was just like ''Go forward.
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Turn.
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Eat now.
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Mate now. ''
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The wiring diagram
of their brain
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that drives all those behaviors
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is the main thing
that evolves in Polyworld.
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NARRATOR : Each decision
they make adds more information
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and experience
to their tiny digital brains --
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information
they can actually pass along
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to their digital offspring.
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And each generation
is getting smarter
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about how they survive
Polyworld.
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YAEGER : We can have
a computational worm
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evolve towards
computational insects
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and mammals and computational
lab rats and primates.
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By the year 2035,
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you could reasonably expect to
have human-level intelligences
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running around in such a system.
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NARRATOR :
And then what will happen?
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Will they be alive?
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YAEGER : Certainly,
as you get to something
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that's approaching
human-level intelligence,
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you can't just pull the plug.
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Basically, l like to think
that if a machine can ask you
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not to turn it off,
then you shouldn't.
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JOURET: The key question
we should ask ourselves is,
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'' ls it intelligent?''
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'' ls it capable of learning?''
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And if the answer is yes,
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then we should extend
the same privileges and rights
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to those non-carbon-based
forms of intelligence
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that we currently extend
to other fellow human beings.
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NARRATOR :
Especially when robots
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start to look
more and more human.
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And Professor Hiroshi lshiguro
is pretty sure they will.
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Because he's already been able
to create such a humanoid --
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his own robot twin,
called ''Geminoid. ''
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Geminoid is his exact double,
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not just in appearance,
but in behavior.
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Professor lshiguro
uses motion-capture sensors
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to duplicate his every move
in his android self,
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even giving it his voice.
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[ Speaking japanese ]
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And sophisticated actuators
mirror lshiguro's every twitch.
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lt's so realistic that it even
creeps out lshiguro himself.
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lshiguro envisions a day
when his robot alter ego
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is given an artificially
intelligent brain. . .
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. . . allowing it to take on
more of his teaching load.
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[ Speaking japanese ]
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l magine a future full
of realistic-looking humanoids
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whose intelligence
rivals our own.
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NARRATOR : Today it may seem
like computers are everywhere.
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But desktop monitors
with clunky CPUs
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will soon be
a thing of the past.
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00:08:23,316 --> 00:08:24,806
l n our smart future,
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chips and sensors
will be embedded in everything.
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The planet will be filled with
smaller, more powerful computers
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that will communicate
with each other and with us.
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Machines will be intelligent,
arguably self-aware machines
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that you'll be able to walk
up to, have a conversation with.
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MALE VOlCE: Please deposit
50 cents for the first hour,
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25 cents
for each additional hour.
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l don't have any change.
l'll just be five minutes.
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l'll get some.
l'll be right back.
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MALE VOlCE:
Five minutes registered.
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Watch my bag for me.
Thanks.
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MALE VOlCE:
Sure. No problem.
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NARRATOR :
Even your furniture
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might be entirely constructed
out of molecule-sized computers,
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intelligent specs
that can reshape themselves
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according to how
they're programmed.
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Professor Seth Goldstein
calls it ''Claytronics. ''
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GOLDSTEl N : Claytronics is a form
of programmable matter,
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a collection of computers.
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l magine that each one of these
little pieces of lead
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was a computer that could not
just compute and communicate,
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but actually move around
and then cooperate
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with all the other units
to form dynamic 3-D shapes.
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NARRATOR : These tiny spheres
are called ''catoms, ''
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computational atoms that will
be able to combine in clusters
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to become any shape
you want them to be.
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GOLDSTElN : lt can move around.
lt can change its color.
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l imagine that Claytronics
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will be used
for just about everything.
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NARRATOR : The first application
will probably be
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the three-dimensional
fax machine.
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The idea is, we could send
not just sound and picture,
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but actually
the 3-D shape itself.
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NARRATOR : Place any object in
a container full of Claytronics,
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and they can determine
its size and color.
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Then those dimensions
can be transmitted
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to another bed of Claytronics
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that will reassemble
the exact object.
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GOLDSTElN :
Claytronics is a technology
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that is going to ride the
sort of exponential-growth curve
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that we see
in many computer technologies.
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We could have 3-D fax
within five years.
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NARRATOR : Three-dimensional
faxing is just one
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of many new ways we'll be able
to receive information.
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We will have computers
woven into our clothing,
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embedded into our bodies.
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We will carry multiple devices,
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and they will talk
to each other.
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NARRATOR :
TVs, computer monitors,
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MP3 players,
lnternet devices --
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displays surround us.
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How about one display --
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one you can wear
right on your eye?
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00:11:05,244 --> 00:11:07,678
The goal we have
is to incorporate
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00:11:07,747 --> 00:11:10,181
electronic devices
onto a contact lens
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00:11:10,249 --> 00:11:12,376
to make it
a lot more sophisticated.
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00:11:12,452 --> 00:11:16,115
NARRATOR : Dr. Babak Parviz
is a man with a vision --
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00:11:16,189 --> 00:11:18,714
that soon, you'll be able
to surf the l nternet
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00:11:18,791 --> 00:11:20,383
on a transparent screen
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00:11:20,460 --> 00:11:23,918
mounted directly
on the surface of your eye.
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00:11:23,997 --> 00:11:27,262
He's creating
the smart contact lens.
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00:11:27,333 --> 00:11:29,301
PARVlZ: You can imagine
a variety of applications
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00:11:29,369 --> 00:11:31,667
for a display
that's directly constructed
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00:11:31,738 --> 00:11:33,831
onto a lens
that you can pop into your eye.
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00:11:34,407 --> 00:11:36,375
NARRATOR :
A wirelessly connected computer
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00:11:36,442 --> 00:11:39,809
on your contact lens
will change your life.
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00:11:39,879 --> 00:11:42,074
JOURET: l think
we'll take several steps
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00:11:42,148 --> 00:11:45,584
towards a more immersive
experience of technology.
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00:11:45,651 --> 00:11:48,643
And we'll start by what
is called ''augmented reality, ''
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00:11:48,721 --> 00:11:51,588
which is an ability
to overlay the virtual world
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onto the real world.
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00:11:53,526 --> 00:11:55,221
NARRATOR :
But is it really possible
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to build a screen
right on your eye?
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00:12:01,000 --> 00:12:03,127
PARVlZ:
We have been able to incorporate
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00:12:03,202 --> 00:12:07,036
all the metallic interconnects
that you need to make a circuit.
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00:12:08,107 --> 00:12:10,268
NARRATOR : So you could have
a digital contact lens
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00:12:10,343 --> 00:12:13,608
that connects wirelessly
to outside devices. . .
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00:12:15,114 --> 00:12:17,207
. . .within the next 30 years.
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00:12:19,385 --> 00:12:21,046
EVANS:
Everything will be connected.
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00:12:21,120 --> 00:12:23,520
And when l say ''everything, ''
l mean everything.
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00:12:23,589 --> 00:12:26,649
You will always be connected
at very high broadband speeds,
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00:12:26,726 --> 00:12:27,920
no matter where you are. . .
233
00:12:29,695 --> 00:12:31,185
. . . even on a bus.
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00:12:31,264 --> 00:12:34,597
NARRATOR : With all
that our smart future promises,
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00:12:34,667 --> 00:12:37,693
taking the bus to work doesn't
sound all that appealing.
236
00:12:37,770 --> 00:12:41,103
But what if you took the bus
instead of going to work?
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00:12:41,808 --> 00:12:42,968
Really?
238
00:12:43,042 --> 00:12:44,907
Oh, l can check that
for you here.
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00:12:44,977 --> 00:12:47,377
NARRATOR : Dave Evans and ClSCO
are in the process
240
00:12:47,447 --> 00:12:51,679
of creating the world's
smartest bus in San Francisco.
241
00:12:51,751 --> 00:12:53,514
lt stands out.
lt's this big, green bus.
242
00:12:53,586 --> 00:12:56,020
lt's hard to miss it
coming down the street.
243
00:12:59,325 --> 00:13:01,054
NARRATOR : He sees a future
where public buses
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00:13:01,127 --> 00:13:04,494
let you stay connected
to the outside world,
245
00:13:04,564 --> 00:13:08,330
even providing information
on anything they pass.
246
00:13:09,202 --> 00:13:12,103
The windows themselves
become transparent displays,
247
00:13:12,171 --> 00:13:15,629
where information
about attractions and sites
248
00:13:15,708 --> 00:13:18,768
are overlaid based on
where you are in the city
249
00:13:18,845 --> 00:13:20,972
and the context
of what you're doing.
250
00:13:21,047 --> 00:13:24,210
NARRATOR : And it'll be stuffed
with navigational intelligence.
251
00:13:26,752 --> 00:13:29,346
Every bus has
a GPS transponder on it
252
00:13:29,422 --> 00:13:32,448
so that passengers can know
exactly where they are.
253
00:13:33,392 --> 00:13:36,054
NARRATOR : And the bus will, too,
which is good,
254
00:13:36,129 --> 00:13:39,064
because in the future,
it'll drive itself.
255
00:13:42,001 --> 00:13:43,263
lt'll be connected
256
00:13:43,336 --> 00:13:46,669
to the rest of the
transportation infrastructure.
257
00:13:47,440 --> 00:13:51,342
l magine road signs,
traffic signals, even bus stops
258
00:13:51,410 --> 00:13:54,538
transmitting information
to one another.
259
00:13:54,614 --> 00:13:56,673
You can imagine
dynamic road signs
260
00:13:56,749 --> 00:14:00,150
that direct you
based on traffic conditions.
261
00:14:02,388 --> 00:14:04,253
The beauty
of being always connected
262
00:14:04,323 --> 00:14:06,518
is the world becomes
a lot more seamless
263
00:14:06,592 --> 00:14:09,186
and allows you to spend
your time living your life
264
00:14:09,262 --> 00:14:10,422
instead of spending your time
265
00:14:10,496 --> 00:14:12,259
getting from point ''A''
to point ''B. ''
266
00:14:12,465 --> 00:14:16,026
NARRATOR : Your future will be
filled with intelligent objects,
267
00:14:16,102 --> 00:14:20,368
but the smartest thing you own
may live in your garage.
268
00:14:20,439 --> 00:14:22,805
With smarter
engineering technologies,
269
00:14:22,875 --> 00:14:24,706
cars will be able to fulfill
270
00:14:24,777 --> 00:14:27,109
specific functions
for their humans.
271
00:14:27,180 --> 00:14:28,909
When you want to get
somewhere fast,
272
00:14:28,981 --> 00:14:30,573
you'll use a rocket car.
273
00:14:30,650 --> 00:14:34,313
lf you live on an island,
you'll want an aquatic car.
274
00:14:34,387 --> 00:14:36,252
But when it comes
to jetting down the road
275
00:14:36,322 --> 00:14:41,658
in a high-performance machine,
you may just need a Koenigsegg.
276
00:14:45,631 --> 00:14:48,031
A car with a lot of power
and responsiveness
277
00:14:48,100 --> 00:14:50,432
makes you feel like Superman.
278
00:14:50,503 --> 00:14:53,336
NARRATOR : The Koenigsegg
is the fastest street-legal car
279
00:14:53,406 --> 00:14:58,673
on the planet, hitting speeds
up to 250 miles per hour.
280
00:14:58,744 --> 00:15:02,680
The body is made of lightweight,
superstrong carbon fiber,
281
00:15:02,748 --> 00:15:04,773
giving it more horsepower
for its weight
282
00:15:04,850 --> 00:15:07,717
than any other car on the road.
283
00:15:13,292 --> 00:15:14,953
And that's nothing
284
00:15:15,027 --> 00:15:18,656
compared to what they put
under the hood next.
285
00:15:18,731 --> 00:15:20,892
KOEN lGSEGG :
Proprietary engine technology
286
00:15:20,967 --> 00:15:23,595
which basically
reduces emission by 30%
287
00:15:23,669 --> 00:15:26,365
and increased power by 30%
at the same time.
288
00:15:26,439 --> 00:15:28,930
And this is something
that engine designers
289
00:15:29,008 --> 00:15:31,533
have been dreaming about
for 50, 60 years,
290
00:15:31,611 --> 00:15:33,101
but now it's possible.
291
00:15:33,179 --> 00:15:34,646
NARRATOR :
The high-performance engine
292
00:15:34,714 --> 00:15:37,979
runs on both gas and ethanol.
293
00:15:38,050 --> 00:15:40,143
The oil prices
are just going up and up,
294
00:15:40,219 --> 00:15:42,915
so that, kind of together with
the environmental consciousness,
295
00:15:42,989 --> 00:15:45,958
is changing
the way cars are being built
296
00:15:46,025 --> 00:15:48,050
and how they're gonna look
in the future.
297
00:15:48,127 --> 00:15:50,027
NARRATOR :
But Koenigsegg doesn't believe
298
00:15:50,096 --> 00:15:52,326
that using
alternative power sources
299
00:15:52,398 --> 00:15:55,231
means you have to compromise
on performance.
300
00:15:55,301 --> 00:15:57,861
Let's say 2 80 miles per hour
301
00:15:57,937 --> 00:16:00,906
is a possibility
in the next five to six years.
302
00:16:00,973 --> 00:16:04,238
lf you haven't seen the future,
you haven't driven fast enough.
303
00:16:04,310 --> 00:16:06,801
[ Engine revs ]
304
00:16:06,879 --> 00:16:09,507
NARRATOR : But you may not
have to go fast or far
305
00:16:09,582 --> 00:16:11,379
to find the car of the future
306
00:16:11,450 --> 00:16:13,577
because the smarter cars
of the future
307
00:16:13,653 --> 00:16:16,451
just may come and find you.
308
00:16:19,125 --> 00:16:21,593
PARENT: CyberCar is a car
totally automated
309
00:16:21,661 --> 00:16:25,153
in order to improve
the transportation for everyone.
310
00:16:25,231 --> 00:16:27,324
NARRATOR :
The CyberCar is coming --
311
00:16:27,400 --> 00:16:30,233
a fully automatic car
that drives itself
312
00:16:30,303 --> 00:16:33,101
using video
obstacle recognition, GPS,
313
00:16:33,172 --> 00:16:36,164
and advanced
road-sensing technologies.
314
00:16:38,110 --> 00:16:40,169
These are
the taxis of the future.
315
00:16:40,246 --> 00:16:42,908
They don't need a driver,
and this is a big advantage
316
00:16:42,982 --> 00:16:46,042
because they can be called
on demand.
317
00:16:46,118 --> 00:16:47,745
NARRATOR :
Like a faithful pet,
318
00:16:47,820 --> 00:16:50,448
your future car will come
when you call it.
319
00:16:50,523 --> 00:16:53,014
l magine ordering up
an automatic car
320
00:16:53,092 --> 00:16:55,060
to get you
wherever you need to go,
321
00:16:55,127 --> 00:16:57,721
on demand, 2 4 hours a day.
322
00:16:57,797 --> 00:16:59,822
And once it drops you off
where you're going,
323
00:16:59,899 --> 00:17:03,391
the car leaves by itself,
on to the next customer
324
00:17:03,469 --> 00:17:06,927
without any erratic swerving
or road rage.
325
00:17:07,006 --> 00:17:08,530
30, 40 years from now,
326
00:17:08,607 --> 00:17:11,235
today's environment
will not exist anymore.
327
00:17:11,310 --> 00:17:12,709
We will not have cars
328
00:17:12,778 --> 00:17:16,179
doing any kind
of stupid maneuvers at any time.
329
00:17:16,248 --> 00:17:19,513
We will have cars
which will be behaving properly
330
00:17:19,585 --> 00:17:21,314
because
they will be computerized.
331
00:17:23,723 --> 00:17:26,214
jOACH l M : Cars in the future
will be moving in flocks.
332
00:17:26,292 --> 00:17:28,385
They'll be talking,
they'll be connected.
333
00:17:28,461 --> 00:17:30,554
Every car will have
a brain of its own.
334
00:17:30,629 --> 00:17:33,496
NARRATOR : And smarter,
computer-driven cars
335
00:17:33,566 --> 00:17:36,330
will be safer cars.
336
00:17:36,402 --> 00:17:38,461
jOACH l M : Cars in the future
are gonna talk to one another,
337
00:17:38,537 --> 00:17:40,266
just like
people talk to one another.
338
00:17:40,339 --> 00:17:43,240
They need to share the space
of the city with the pedestrian.
339
00:17:43,309 --> 00:17:45,106
l n fact, no one in the future
340
00:17:45,177 --> 00:17:47,236
should ever die
in a car accident again.
341
00:17:48,481 --> 00:17:50,210
NARRATOR :
And they don't get much smarter
342
00:17:50,282 --> 00:17:53,513
than the latest car
from France's Assystem.
343
00:17:57,356 --> 00:18:01,224
The City Car is designed
to navigate the urban jungle,
344
00:18:01,293 --> 00:18:05,059
but inside lurks the
intelligence of a fighter jet.
345
00:18:08,334 --> 00:18:10,632
Your windshield
is about to be replaced
346
00:18:10,703 --> 00:18:13,900
by state-of-the-art
augmented-reality systems.
347
00:18:20,246 --> 00:18:22,305
A better representation
of reality
348
00:18:22,381 --> 00:18:25,839
means having five cameras
mounted around the vehicle
349
00:18:25,918 --> 00:18:29,046
to provide real-time video
of the road.
350
00:18:29,121 --> 00:18:32,852
lt means no more blind spots
and fewer accidents.
351
00:18:33,526 --> 00:18:36,256
And your road cameras
can go infrared,
352
00:18:36,328 --> 00:18:39,786
allowing you to drive
in complete darkness.
353
00:18:40,666 --> 00:18:43,396
Because the dashboard
is a computer monitor,
354
00:18:43,469 --> 00:18:46,632
you can control
where your controls live --
355
00:18:46,705 --> 00:18:49,674
shift the rearview mirror
closer to your line of sight,
356
00:18:49,742 --> 00:18:51,733
move your speedometer higher.
357
00:18:51,811 --> 00:18:53,802
Everything is customizable,
358
00:18:53,879 --> 00:18:57,679
even the way
its electric engine sounds.
359
00:18:57,750 --> 00:19:00,116
So you can gun it
like a muscle car
360
00:19:00,186 --> 00:19:02,017
or have it hum like a roadster.
361
00:19:02,087 --> 00:19:03,816
lt'll be up to you.
362
00:19:05,825 --> 00:19:08,259
Urban cars
have to be theftproof.
363
00:19:08,327 --> 00:19:10,852
The City Car uses
a retinal detector
364
00:19:10,930 --> 00:19:13,865
to confirm its true owner
is behind the wheel
365
00:19:13,933 --> 00:19:16,163
and to make sure
the driver is alert.
366
00:19:16,235 --> 00:19:17,600
CAR : Wake up.
367
00:19:26,011 --> 00:19:28,138
NARRATOR :
The City Car gets great mileage,
368
00:19:28,214 --> 00:19:30,978
thanks to its
lightweight plastic body.
369
00:19:34,119 --> 00:19:36,917
l n fact, most car designers
of the future
370
00:19:36,989 --> 00:19:41,221
won't be bound
by the rigid realities of steel.
371
00:19:41,293 --> 00:19:43,921
What would happen if
instead of welding up a frame,
372
00:19:43,996 --> 00:19:45,657
we knitted it?
373
00:19:45,731 --> 00:19:47,221
Let me introduce you to G l NA.
374
00:19:50,069 --> 00:19:52,230
The idea behind G l NA
was an idea
375
00:19:52,304 --> 00:19:54,932
to free us up from
the standard way of doing things
376
00:19:55,007 --> 00:19:57,100
and let us try and approach
some things differently.
377
00:19:58,744 --> 00:20:01,941
The entire skin on this car
is a flexible material.
378
00:20:02,014 --> 00:20:06,007
lt stretches, and it does all
that the outside skin has to do.
379
00:20:06,085 --> 00:20:08,645
NARRATOR :
GlNA's skin may look soft,
380
00:20:08,721 --> 00:20:10,951
but it's actually
an incredibly tough,
381
00:20:11,023 --> 00:20:13,548
expansion-resistant,
industrial fabric
382
00:20:13,626 --> 00:20:15,617
that is both water-repellent
383
00:20:15,694 --> 00:20:19,061
and impervious
to high or low temperatures.
384
00:20:19,131 --> 00:20:22,225
lt's stretched across
an aluminum-frame chassis
385
00:20:22,301 --> 00:20:25,270
that gives her that classic
two-seat-roadster shape
386
00:20:25,337 --> 00:20:28,670
and reinforced
with ultra-strong struts.
387
00:20:28,741 --> 00:20:31,073
This structure right here
is the substructure
388
00:20:31,143 --> 00:20:32,667
which protects you in a crash,
389
00:20:32,745 --> 00:20:34,235
makes sure
that nothing happens to you,
390
00:20:34,313 --> 00:20:36,042
keeps all things safe,
keeps the car stiff.
391
00:20:36,115 --> 00:20:38,948
NARRATOR : But the structure
also has movable parts,
392
00:20:39,018 --> 00:20:42,351
causing the skin to ripple
and fold in new ways,
393
00:20:42,421 --> 00:20:45,481
blending function with design.
394
00:20:48,127 --> 00:20:50,425
Unlike other cars,
which just turn on their lights,
395
00:20:50,496 --> 00:20:52,259
GlNA actually opens up.
396
00:20:52,331 --> 00:20:53,457
Hello?
397
00:20:53,532 --> 00:20:54,931
There we go.
398
00:20:55,000 --> 00:20:57,366
Can we get a little bit
of light out of you?
399
00:20:57,436 --> 00:20:58,368
There we go.
400
00:21:02,241 --> 00:21:03,970
NARRATOR : lf you need to get
under the hood
401
00:21:04,043 --> 00:21:08,104
to service the engine or refill
the oil, GlNA obliges.
402
00:21:08,180 --> 00:21:10,239
And after we're done with it,
we let it close.
403
00:21:10,316 --> 00:21:11,874
GlNA, can you
close your hood, please?
404
00:21:11,951 --> 00:21:13,748
Thank you very much.
405
00:21:13,819 --> 00:21:16,413
NARRATOR : The idea is
that GlNA will be able to use
406
00:21:16,488 --> 00:21:20,015
movable substructures
to morph into various shapes.
407
00:21:20,092 --> 00:21:21,787
BANGLE: Your car would change
to match your mood,
408
00:21:21,860 --> 00:21:22,952
your style, your needs.
409
00:21:23,028 --> 00:21:25,792
''Today, l need to take
a lot of stuff to the dump,
410
00:21:25,864 --> 00:21:27,798
and so l need a lot of space
in the back of the car. ''
411
00:21:27,866 --> 00:21:29,527
The car has to change
to adapt to that.
412
00:21:29,602 --> 00:21:33,698
But tomorrow l happen to be
going with my wife to a party,
413
00:21:33,772 --> 00:21:36,036
and l would like the car to look
as elegant as we are dressed.
414
00:21:36,108 --> 00:21:38,406
NARRATOR :
Future cars will be smarter,
415
00:21:38,477 --> 00:21:42,038
but that doesn't mean they'll be
any less fun to drive.
416
00:21:44,717 --> 00:21:45,809
lt took 200 years
417
00:21:45,884 --> 00:21:48,785
to fill the Library of Congress
with all of its information.
418
00:21:48,854 --> 00:21:52,950
Today we create that amount
of information every 15 minutes.
419
00:21:54,526 --> 00:21:57,086
NARRATOR :
The future is going to be fun.
420
00:21:57,162 --> 00:21:59,630
lf it's not, why bother going?
421
00:21:59,698 --> 00:22:02,724
The intelligent future
will have many new ways to play.
422
00:22:03,302 --> 00:22:05,668
NARRATOR : Smarter technology
will blur the line
423
00:22:05,738 --> 00:22:09,139
between what is real
and what is not.
424
00:22:10,376 --> 00:22:13,937
New immersive games require
new ways to play them.
425
00:22:14,013 --> 00:22:17,210
Future gamers won't need
a joystick or a paddle.
426
00:22:17,282 --> 00:22:19,079
They'll interact
with their games
427
00:22:19,151 --> 00:22:21,085
directly from their brains,
428
00:22:21,153 --> 00:22:24,748
using devices like
the EPOC headset from Emotiv.
429
00:22:24,823 --> 00:22:27,053
Our whole interaction
with the virtual world
430
00:22:27,126 --> 00:22:29,117
is going to be far more natural.
431
00:22:29,194 --> 00:22:32,652
We'll be able to use our brain
and our facial expressions
432
00:22:32,731 --> 00:22:34,926
and our emotional experiences
433
00:22:35,000 --> 00:22:39,664
to really experience content
in entirely new ways.
434
00:22:39,738 --> 00:22:42,605
And what we've created
is a brain-computer interface
435
00:22:42,675 --> 00:22:44,370
that really transforms the way
436
00:22:44,443 --> 00:22:46,411
that humans interact
with machines.
437
00:22:46,478 --> 00:22:48,912
NARRATOR :
The Emotiv EPOC wireless headset
438
00:22:48,981 --> 00:22:51,882
has 1 6 independent sensors
that pick up
439
00:22:51,950 --> 00:22:55,181
electrical brain signals
on the surface of the scalp.
440
00:22:55,254 --> 00:22:59,213
We identify a signature
for a particular thought
441
00:22:59,291 --> 00:23:02,488
or a particular emotion,
and then, in real time,
442
00:23:02,561 --> 00:23:04,529
we classify
those brain patterns.
443
00:23:04,596 --> 00:23:07,963
NARRATOR : So when you think it,
it happens on the screen.
444
00:23:08,033 --> 00:23:10,593
You think ''push, ''
the object propels forward.
445
00:23:10,669 --> 00:23:12,728
MAN : So, now my master's
showing me how to pull
446
00:23:12,805 --> 00:23:14,033
using that tree.
447
00:23:14,106 --> 00:23:16,370
And then he'll ask me
to focus all my thoughts
448
00:23:16,442 --> 00:23:18,637
on pulling that tree
towards me.
449
00:23:18,711 --> 00:23:21,441
There are
13 individual detections --
450
00:23:21,513 --> 00:23:25,279
push, pull, lift, drop,
left, right, and then rotation
451
00:23:25,350 --> 00:23:29,719
in six different axes
in a 3-D environment.
452
00:23:29,788 --> 00:23:33,189
NARRATOR : You can even visualize
an object disappearing,
453
00:23:33,258 --> 00:23:35,283
and it will.
454
00:23:35,894 --> 00:23:39,352
But the headset is more than
just a brain-powered joystick.
455
00:23:39,431 --> 00:23:41,023
lt allows the game to detect
456
00:23:41,100 --> 00:23:43,591
whether or not
you're actually having fun.
457
00:23:43,669 --> 00:23:46,069
LE:
lt observes your experiences --
458
00:23:46,138 --> 00:23:49,232
excitement versus calmness,
immersion,
459
00:23:49,308 --> 00:23:52,141
tension, frustration,
engagement.
460
00:23:52,211 --> 00:23:54,611
There are these mischievous
spirit wisps
461
00:23:54,680 --> 00:23:56,113
that, instead
of pressing a button,
462
00:23:56,181 --> 00:23:59,082
l can scare away
just by looking fierce, so. . .
463
00:23:59,151 --> 00:24:00,618
[ Growls ]
464
00:24:03,756 --> 00:24:06,691
And you can notice by the sky
color that l enjoy that part.
465
00:24:06,759 --> 00:24:09,421
NARRATOR : So, when it comes
to future game-playing,
466
00:24:09,495 --> 00:24:11,087
keep an open mind.
467
00:24:11,163 --> 00:24:13,154
We're really only
at the tip of the iceberg
468
00:24:13,232 --> 00:24:14,756
in terms of what's possible.
469
00:24:14,833 --> 00:24:16,266
NARRATOR :
So, will all this innovation
470
00:24:16,335 --> 00:24:18,633
in virtual-reality gaming
spell the end
471
00:24:18,704 --> 00:24:21,764
of a good old-fashioned
night out at the movies?
472
00:24:22,407 --> 00:24:25,171
l don't think
games will ever replace
473
00:24:25,244 --> 00:24:27,212
other forms
of narrative entertainment,
474
00:24:27,279 --> 00:24:29,179
simply because
they do different things.
475
00:24:29,248 --> 00:24:32,445
NARRATOR : Even as virtual games
explore new frontiers,
476
00:24:32,518 --> 00:24:34,213
traditional forms
of entertainment
477
00:24:34,286 --> 00:24:37,687
will also undergo
some big changes,
478
00:24:37,756 --> 00:24:40,054
starting with the actors.
479
00:24:40,125 --> 00:24:41,387
l believe that, in the future,
480
00:24:41,460 --> 00:24:43,553
we'll be creating
digital movie stars.
481
00:24:44,696 --> 00:24:47,256
Synthespian
is a synthetic thespian --
482
00:24:47,332 --> 00:24:49,800
any character
that's generated by computer
483
00:24:49,868 --> 00:24:51,836
that fulfills
some sort of dramatic role.
484
00:24:51,904 --> 00:24:55,670
NARRATOR : Synthespians don't
require an astronomical salary.
485
00:24:55,741 --> 00:24:58,005
They work around the clock
without complaint
486
00:24:58,076 --> 00:25:02,012
and live quietly on a hard drive
between death-defying stunts.
487
00:25:02,080 --> 00:25:04,981
Over the last 20 years,
we've been working very hard
488
00:25:05,050 --> 00:25:07,541
to get to what would be called
the holy grail,
489
00:25:07,619 --> 00:25:09,985
which is simulating
a human face.
490
00:25:10,055 --> 00:25:12,888
You would not be able to
differentiate that performance
491
00:25:12,958 --> 00:25:15,324
from a filmed performance
of a human being.
492
00:25:15,394 --> 00:25:17,828
The rate of acceleration
of this technology
493
00:25:17,896 --> 00:25:19,158
is truly mind-boggling.
494
00:25:19,231 --> 00:25:21,699
lt's another thing entirely.
495
00:25:21,767 --> 00:25:23,530
KLElSER :
We will see digital movie stars.
496
00:25:23,602 --> 00:25:25,229
[ Screams ]
497
00:25:25,304 --> 00:25:27,295
KLElSER : The personality
comes from the animator
498
00:25:27,372 --> 00:25:30,933
rather than
from the on-screen talent.
499
00:25:31,009 --> 00:25:32,738
And l will become the actor.
500
00:25:32,811 --> 00:25:34,745
We're already seeing
some of the movie theaters
501
00:25:34,813 --> 00:25:37,281
start to move
towards 3-D projection.
502
00:25:37,850 --> 00:25:40,341
l think the key would be
a 3-D, immersive experience
503
00:25:40,419 --> 00:25:42,319
without any extra peripherals.
504
00:25:42,387 --> 00:25:44,855
NARRATOR : One day,
you'll go to a live play
505
00:25:44,923 --> 00:25:48,859
only to find out it's being
performed by synthetic actors.
506
00:25:49,795 --> 00:25:51,854
No glasses.
Nothing required.
507
00:25:51,930 --> 00:25:55,058
You just look at the displays,
and it projects 3-D.
508
00:25:55,133 --> 00:25:57,158
To be, or not to be --
509
00:25:57,236 --> 00:26:00,205
NARRATOR : You'll watch
live performances that feature
510
00:26:00,272 --> 00:26:03,207
all the realism of a movie. . .
511
00:26:03,275 --> 00:26:06,540
entire settings instead of sets.
512
00:26:06,612 --> 00:26:08,603
lt will be like
513
00:26:08,680 --> 00:26:11,148
being on the stage
in the middle of a play.
514
00:26:11,216 --> 00:26:13,207
Maybe we can pause
and walk around
515
00:26:13,285 --> 00:26:14,843
and look at it
from different angles.
516
00:26:14,920 --> 00:26:17,150
We could make
large-scale holograms
517
00:26:17,222 --> 00:26:19,884
that could be seen
from any angle.
518
00:26:19,958 --> 00:26:22,756
The limits just disappear.
519
00:26:24,630 --> 00:26:27,224
NARRATOR : Movies will now
literally transport you
520
00:26:27,299 --> 00:26:29,199
into a fantasy world.
521
00:26:29,268 --> 00:26:31,736
Virtual technologies
are ushering in
522
00:26:31,803 --> 00:26:34,772
entirely new forms
of entertainment,
523
00:26:34,840 --> 00:26:38,071
but that doesn't mean
old ones will disappear.
524
00:26:38,143 --> 00:26:39,633
When we started
having television,
525
00:26:39,711 --> 00:26:41,110
everybody thought
that film would end.
526
00:26:41,179 --> 00:26:42,908
And then
when video games came out,
527
00:26:42,981 --> 00:26:44,881
they said that nobody
would go to films anymore.
528
00:26:44,950 --> 00:26:46,941
l think we're just adding
more and more diversity
529
00:26:47,019 --> 00:26:48,714
to the spectrum
of entertainment.
530
00:26:48,787 --> 00:26:50,778
NARRATOR : And every form
of entertainment --
531
00:26:50,856 --> 00:26:53,188
games, films, or even travel --
532
00:26:53,258 --> 00:26:54,782
will live
on the future l nternet,
533
00:26:54,860 --> 00:26:56,760
our intelligent network,
534
00:26:56,828 --> 00:27:00,229
making them available
whenever and however you like.
535
00:27:00,299 --> 00:27:03,097
What's going to happen is, all
forms of human entertainment,
536
00:27:03,168 --> 00:27:05,033
whether it's music,
whether it's television,
537
00:27:05,103 --> 00:27:06,127
whether it's film,
538
00:27:06,204 --> 00:27:09,071
will all be delivered
on the network, on demand
539
00:27:09,141 --> 00:27:12,304
anywhere, anytime you want
on any device,
540
00:27:12,377 --> 00:27:16,939
whether that's a mobile, PC,
TV -- any device you wish.
541
00:27:17,015 --> 00:27:19,245
You're gonna be able
to play back whatever you want.
542
00:27:20,652 --> 00:27:22,586
NARRATOR :
The houses of the future
543
00:27:22,654 --> 00:27:25,179
may bear little resemblance
to the traditional
544
00:27:25,257 --> 00:27:28,283
little white house
with a picket fence.
545
00:27:29,594 --> 00:27:31,619
They'll be built
in a matter of hours
546
00:27:31,697 --> 00:27:34,962
out of materials
that are clearly intelligent.
547
00:27:45,243 --> 00:27:48,610
KlERAN : l believe
cellophane is the future.
548
00:27:49,247 --> 00:27:51,511
lf this house
does not provoke you,
549
00:27:51,583 --> 00:27:53,517
then we've failed.
550
00:27:53,585 --> 00:27:55,780
NARRATOR : Everything
in this cellophane house
551
00:27:55,854 --> 00:27:59,221
is transparent or translucent
because its walls are made
552
00:27:59,291 --> 00:28:02,317
of clear material
known as P. E. T.
553
00:28:02,394 --> 00:28:05,329
But will a cellophane house
made out of P. E. T.
554
00:28:05,397 --> 00:28:07,194
be strong enough to last?
555
00:28:07,265 --> 00:28:10,393
You can hang a car
in a sheet of P. E. T. ,
556
00:28:10,469 --> 00:28:12,334
and it will not fail.
557
00:28:12,404 --> 00:28:15,168
Basically,
you'd be living in a house
558
00:28:15,240 --> 00:28:18,038
that's made out of
former water bottles.
559
00:28:18,110 --> 00:28:19,600
NARRATOR :
And unlike your walls,
560
00:28:19,678 --> 00:28:22,078
the cellophane walls
will be smart.
561
00:28:22,147 --> 00:28:24,240
Electronics
embedded in the material
562
00:28:24,316 --> 00:28:27,342
not only light the house
but generate its energy.
563
00:28:27,419 --> 00:28:29,182
KlERAN :
We printed on it
564
00:28:29,254 --> 00:28:32,223
materials that could harness
the energy of the sun --
565
00:28:32,290 --> 00:28:34,850
organic solar cells.
566
00:28:34,926 --> 00:28:36,257
NARRATOR :
And because it's lit
567
00:28:36,328 --> 00:28:39,195
by the next generation
of L. E. D. technology,
568
00:28:39,264 --> 00:28:42,427
you'll never have to screw in
a light bulb again.
569
00:28:43,402 --> 00:28:45,563
Regardless
of its outward appearance,
570
00:28:45,637 --> 00:28:48,367
your home will be filled
with smarter technologies
571
00:28:48,440 --> 00:28:52,240
designed to save you time and
improve your quality of life.
572
00:28:52,310 --> 00:28:53,971
[ Beep ]
573
00:28:54,046 --> 00:28:57,880
HATTAR : lt'll know as you move
from room to room what you like.
574
00:28:57,949 --> 00:29:00,884
Things like
temperature of your home
575
00:29:00,952 --> 00:29:02,579
will adjust to your preferences.
576
00:29:03,555 --> 00:29:04,988
NARRATOR :
And your home appliances
577
00:29:05,057 --> 00:29:06,456
won't just be efficient.
578
00:29:06,525 --> 00:29:11,394
They'll be smart, connected to
each other and to the l nternet.
579
00:29:11,463 --> 00:29:13,397
JOURET: Although there are about
1 .3 billion people
580
00:29:13,465 --> 00:29:15,956
on the l nternet, we're moving
from an l nternet of people
581
00:29:16,034 --> 00:29:17,501
to an lnternet of things.
582
00:29:18,236 --> 00:29:19,794
Within the next five years,
583
00:29:19,871 --> 00:29:22,465
we'll have
about 14 billion things
584
00:29:22,541 --> 00:29:24,372
communicating on the lnternet.
585
00:29:24,443 --> 00:29:27,412
Your bathroom will provide you
with the news and weather,
586
00:29:27,479 --> 00:29:29,447
even while
you're brushing your teeth.
587
00:29:29,514 --> 00:29:31,539
HATTAR : We could see
how our connected home
588
00:29:31,616 --> 00:29:33,345
can deliver additional services
589
00:29:33,418 --> 00:29:35,181
to make our lives
a little bit easier.
590
00:29:36,521 --> 00:29:39,251
NARRATOR : Your kitchen might
be run by a central console
591
00:29:39,324 --> 00:29:42,521
that keeps a running inventory
on all your groceries,
592
00:29:42,594 --> 00:29:45,495
prompting you when you need
to order more of anything.
593
00:29:45,564 --> 00:29:46,895
But since it's connected,
594
00:29:46,965 --> 00:29:49,229
it can also surf the Web
for you.
595
00:29:49,301 --> 00:29:52,293
lf you have any questions
about your friend's gift bottle,
596
00:29:52,370 --> 00:29:53,837
scan it over to your TV,
597
00:29:53,905 --> 00:29:56,999
and you'll be able to watch
an entire program about it.
598
00:30:01,680 --> 00:30:04,513
The console will even track
your home's energy consumption,
599
00:30:04,583 --> 00:30:06,608
telling you
if there's a leaky faucet,
600
00:30:06,685 --> 00:30:10,485
to make sure you're operating
at maximum efficiency.
601
00:30:11,556 --> 00:30:13,547
ln fact, most future homes
602
00:30:13,625 --> 00:30:16,355
will actually be able
to create their own energy
603
00:30:16,428 --> 00:30:20,387
using solar blinds
that harness the sun's power.
604
00:30:21,199 --> 00:30:23,224
But who has the time to oversee
605
00:30:23,301 --> 00:30:25,997
this growing staff
of smart appliances?
606
00:30:26,071 --> 00:30:29,165
And who will make sense out
of the torrent of information
607
00:30:29,241 --> 00:30:32,210
now available
at the touch of a panel?
608
00:30:32,277 --> 00:30:35,906
Meet Cleopatra --
your future virtual home runner.
609
00:30:35,981 --> 00:30:37,471
Nice to meet you.
610
00:30:37,549 --> 00:30:40,609
So it's kind of somewhere
between a butler, a secretary,
611
00:30:40,685 --> 00:30:43,347
a personal assistant,
and a babysitter.
612
00:30:43,421 --> 00:30:45,651
NARRATOR :
Cleopatra is an avatar --
613
00:30:45,724 --> 00:30:50,058
a virtual personality who lives
in Brian Conte's basement.
614
00:30:50,128 --> 00:30:53,996
She mostly lives on a box that
we have down in our server room.
615
00:30:54,065 --> 00:30:57,398
NARRATOR : Cleopatra runs all
the home's automated systems,
616
00:30:57,469 --> 00:30:59,960
from the lights
to the lawn-mowing.
617
00:31:02,007 --> 00:31:05,443
She adjusts the temperature
and the window blinds.
618
00:31:05,510 --> 00:31:08,070
She can even change
the music in each room
619
00:31:08,146 --> 00:31:09,841
according to your mood.
620
00:31:09,915 --> 00:31:11,177
[ Classical music plays ]
621
00:31:11,249 --> 00:31:13,649
CONTE: One of the nice things
that the system does
622
00:31:13,718 --> 00:31:16,084
is remind my boy to go to bed.
623
00:31:16,154 --> 00:31:17,883
He is an avid reader.
624
00:31:17,956 --> 00:31:20,789
He can stay up till 1 :00 or 2 :00
without even realizing it.
625
00:31:20,859 --> 00:31:22,224
Lights out, Zeb.
626
00:31:22,294 --> 00:31:26,253
CONTE: There's so many helpful
things that the house can do
627
00:31:26,331 --> 00:31:28,492
once it knows who you are
and where you are.
628
00:31:29,067 --> 00:31:30,728
NARRATOR :
She keeps track of the family
629
00:31:30,802 --> 00:31:33,430
by using radio-frequency
l . D. technology.
630
00:31:33,505 --> 00:31:34,563
[ Beep ]
631
00:31:34,639 --> 00:31:38,370
RFlD allows you
to tag an object or a person
632
00:31:38,443 --> 00:31:41,469
with a code that the computer
can read through sensors,
633
00:31:41,546 --> 00:31:45,482
allowing it to know
where everyone is at all times.
634
00:31:45,550 --> 00:31:47,040
Katherine has left the house.
635
00:31:48,353 --> 00:31:50,082
CONTE: As soon as l step up
to the front door,
636
00:31:50,155 --> 00:31:53,352
it recognizes me, opens
the door, welcomes me home.
637
00:31:53,425 --> 00:31:55,154
CLEOPATRA:
Welcome home, Brian.
638
00:31:55,227 --> 00:31:58,219
Remember, your wife's birthday
is next week.
639
00:31:58,997 --> 00:32:00,658
NARRATOR :
RFlD technology
640
00:32:00,732 --> 00:32:04,099
also helps Cleopatra
run the family food shopping.
641
00:32:04,169 --> 00:32:07,297
CONTE: You simply scan things
as you throw them away.
642
00:32:07,372 --> 00:32:11,502
lt will automatically reorder
anything that you scanned.
643
00:32:11,576 --> 00:32:14,044
lt will appear the next morning
on your doorstep.
644
00:32:14,946 --> 00:32:18,143
NARRATOR : l magine never again
running out of milk.
645
00:32:19,317 --> 00:32:21,683
Today, Cleopatra does mostly
646
00:32:21,753 --> 00:32:23,618
what she's been programmed
to do.
647
00:32:23,688 --> 00:32:26,384
Cleopatra runs the house,
but l'm still the boss.
648
00:32:26,958 --> 00:32:29,483
NARRATOR : But in the future,
automated house runners
649
00:32:29,561 --> 00:32:32,121
will be far more intelligent,
650
00:32:32,197 --> 00:32:34,062
and they'll be
far more connected,
651
00:32:34,132 --> 00:32:38,660
able to act as your family's
representative on the Web.
652
00:32:38,737 --> 00:32:40,830
The Hong Kong market
is now open.
653
00:32:40,905 --> 00:32:41,963
Shall l log in?
654
00:32:42,040 --> 00:32:43,803
There will be virtual people,
655
00:32:43,875 --> 00:32:45,934
separate entities
on the l nternet,
656
00:32:46,011 --> 00:32:48,138
performing tasks on your behalf.
657
00:32:48,213 --> 00:32:51,808
That is a natural extension
for something like Cleopatra.
658
00:32:51,883 --> 00:32:53,783
l can't wait.
659
00:32:53,852 --> 00:32:55,717
Goodbye, Brian.
660
00:32:56,988 --> 00:32:58,114
NARRATOR :
But sometimes,
661
00:32:58,189 --> 00:33:00,248
the things that need doing
around the house
662
00:33:00,325 --> 00:33:03,055
just can't be done
by a virtual house runner,
663
00:33:03,128 --> 00:33:05,653
no matter how smart she may be.
664
00:33:06,965 --> 00:33:10,059
lt's great that we've evolved
so that laundry's washed,
665
00:33:10,135 --> 00:33:11,227
but wouldn't it be wonderful
666
00:33:11,303 --> 00:33:13,533
if it could actually be folded
and put away?
667
00:33:13,605 --> 00:33:16,301
Wouldn't it be great
if my robots did that for me?
668
00:33:16,374 --> 00:33:18,399
NARRATOR :
Your first robot butler
669
00:33:18,476 --> 00:33:19,773
will probably look a lot like
670
00:33:19,844 --> 00:33:23,143
the world's most advanced
humanoid, Asimo.
671
00:33:23,214 --> 00:33:26,672
KUFFNER : Asimo is currently
the state of the art
672
00:33:26,751 --> 00:33:29,379
in terms of humanoid technology.
673
00:33:29,454 --> 00:33:31,513
NARRATOR :
Asimo is around 4 feet tall
674
00:33:31,589 --> 00:33:34,524
and weighs a little more
than 1 00 pounds.
675
00:33:34,592 --> 00:33:38,084
So, he's a small-stature
humanoid,
676
00:33:38,163 --> 00:33:40,427
and in that way,
he's very nonthreatening.
677
00:33:40,498 --> 00:33:42,762
NARRATOR : To be
the ultimate home assistant,
678
00:33:42,834 --> 00:33:44,665
future all-purpose robots
679
00:33:44,736 --> 00:33:47,330
will have to master
the terrain of our world --
680
00:33:47,405 --> 00:33:49,771
stairs, doorknobs, and faucets,
681
00:33:49,841 --> 00:33:53,038
which is why our robots
will need to be humanoids,
682
00:33:53,111 --> 00:33:54,271
like Asimo.
683
00:33:54,346 --> 00:33:56,314
KUFFNER : We can have
our humanoid actually use
684
00:33:56,381 --> 00:33:59,976
a real vacuum and push it around
or use a mop or use a broom
685
00:34:00,051 --> 00:34:02,178
or use tools
that were designed for humans.
686
00:34:02,787 --> 00:34:06,018
NARRATOR : Eventually, our robots
will be fully programmable
687
00:34:06,091 --> 00:34:09,822
so we can teach them new tasks
by downloading a file.
688
00:34:11,896 --> 00:34:15,024
KUFFNER : l could call my robot
from my cellphone
689
00:34:15,100 --> 00:34:17,159
on the way home from work
and say,
690
00:34:17,235 --> 00:34:20,033
''Tonight l'm interested
in having a quiche. ''
691
00:34:20,839 --> 00:34:23,899
NARRATOR : And your home robot
won't just download behaviors.
692
00:34:23,975 --> 00:34:26,808
lt'll be a computer
with two legs.
693
00:34:26,878 --> 00:34:30,314
They'll be connected
to the lnternet and, if so,
694
00:34:30,382 --> 00:34:32,077
sort of the world's
knowledge base.
695
00:34:32,150 --> 00:34:34,311
And in the future,
we may take them for granted.
696
00:34:34,386 --> 00:34:35,751
[ Computerized voice ]
Please don't.
697
00:34:39,090 --> 00:34:43,220
92% of all scientists
who ever lived are alive today.
698
00:34:43,294 --> 00:34:47,424
85 % of all engineers
who ever lived are alive today.
699
00:34:47,499 --> 00:34:48,966
Think about it.
700
00:34:50,368 --> 00:34:51,960
NARRATOR :
The future will see machines
701
00:34:52,036 --> 00:34:54,231
with a built-in
artificial intelligence
702
00:34:54,305 --> 00:34:56,432
that will rival our own.
703
00:34:56,508 --> 00:34:58,499
We will find ourselves
working with
704
00:34:58,576 --> 00:35:01,875
and competing with
intelligent machines.
705
00:35:01,946 --> 00:35:05,848
Ultimately, these machines
will be much more powerful
706
00:35:05,917 --> 00:35:08,215
than unaided human intelligence.
707
00:35:08,286 --> 00:35:10,083
NARRATOR :
The machines are ready.
708
00:35:10,155 --> 00:35:11,315
Are we?
709
00:35:11,389 --> 00:35:14,381
YAEGER : As artificial
intelligences improve,
710
00:35:14,459 --> 00:35:16,484
so are
our natural intelligences.
711
00:35:16,561 --> 00:35:18,324
NARRATOR :
The design of the human brain
712
00:35:18,396 --> 00:35:21,593
hasn't been upgraded
in 30,000 years,
713
00:35:21,666 --> 00:35:24,499
but that's about to change.
714
00:35:24,569 --> 00:35:26,469
Human beings
are not standing still
715
00:35:26,538 --> 00:35:28,301
in terms of their intelligence.
716
00:35:28,373 --> 00:35:30,341
NARRATOR :
There is considerable room
717
00:35:30,408 --> 00:35:32,774
for improving the brain.
718
00:35:32,844 --> 00:35:34,573
The fact that
a third-year graduate student
719
00:35:34,646 --> 00:35:37,513
has more mental agility
than l do
720
00:35:37,582 --> 00:35:41,382
is a simple fact of science,
and it's one that pisses me off.
721
00:35:45,156 --> 00:35:46,316
NARRATOR :
Dr. Gary Lynch
722
00:35:46,391 --> 00:35:49,827
is working on a way
to improve on nature's design
723
00:35:49,894 --> 00:35:52,624
by getting our brains
to operate more efficiently,
724
00:35:52,697 --> 00:35:54,289
even as we age.
725
00:35:54,365 --> 00:35:56,993
And so he is studying
our synapses,
726
00:35:57,068 --> 00:35:59,536
the tiny gaps
between our brain cells
727
00:35:59,604 --> 00:36:02,971
that carry electrical signals
from one cell to the next.
728
00:36:03,041 --> 00:36:07,068
As you begin to age,
these things begin to decay.
729
00:36:07,145 --> 00:36:09,238
You feel the loss
of cognitive capacity.
730
00:36:09,314 --> 00:36:11,282
You feel the loss of memory.
731
00:36:11,349 --> 00:36:12,839
NARRATOR :
Dr. Lynch has found a way
732
00:36:12,917 --> 00:36:15,215
to make those synapses
work better
733
00:36:15,286 --> 00:36:17,652
using a new class
of neurostimulants
734
00:36:17,722 --> 00:36:20,088
called ampakines.
735
00:36:20,158 --> 00:36:21,853
DR. LYNCH :
What the ampakines do
736
00:36:21,926 --> 00:36:25,054
is they restore the synapses to
the strength, to the facility,
737
00:36:25,129 --> 00:36:28,121
to the plasticity they had
when you were young.
738
00:36:28,199 --> 00:36:30,690
NARRATOR :
Ampakines literally amplify
739
00:36:30,768 --> 00:36:35,068
the jolt of electricity
between brain cells. . .
740
00:36:35,139 --> 00:36:36,299
which means your thoughts
741
00:36:36,374 --> 00:36:39,810
are transmitted
across more neurons.
742
00:36:39,878 --> 00:36:41,812
You'll be able to think faster
743
00:36:41,880 --> 00:36:44,815
and in ways
you can't now imagine.
744
00:36:44,883 --> 00:36:47,477
Because the imagination
that you have
745
00:36:47,552 --> 00:36:49,713
is limited
by the number of neurons
746
00:36:49,787 --> 00:36:52,119
that you can assemble
at any given instance.
747
00:36:52,857 --> 00:36:54,620
NARRATOR :
lt's heady stuff.
748
00:36:55,326 --> 00:36:59,626
The potential is there to do
things the brain cannot now do.
749
00:37:00,398 --> 00:37:01,956
NARRATOR :
But will it be enough?
750
00:37:03,067 --> 00:37:04,694
WARWlCK:
There are some people that say,
751
00:37:04,769 --> 00:37:07,294
''Okay, we have
intelligent machines around,
752
00:37:07,372 --> 00:37:10,034
but they will always do
what we want.
753
00:37:10,108 --> 00:37:12,076
They will act as our slaves. ''
754
00:37:12,143 --> 00:37:13,405
This is ridiculous!
755
00:37:13,478 --> 00:37:16,845
lf we have machines that are
more intelligent than we are,
756
00:37:16,915 --> 00:37:19,475
they will decide
what they want to do.
757
00:37:21,252 --> 00:37:23,083
lf the machines
have it in for us,
758
00:37:23,154 --> 00:37:24,985
we won't have any defense.
759
00:37:25,056 --> 00:37:26,455
There's no protection
from something
760
00:37:26,524 --> 00:37:28,082
that's more intelligent
than you are
761
00:37:28,159 --> 00:37:29,956
if it's bent
on your destruction.
762
00:37:30,028 --> 00:37:32,053
Actually, the defense
from malevolent A. l .
763
00:37:32,130 --> 00:37:34,598
is just another A. l .
that's even smarter.
764
00:37:34,666 --> 00:37:37,601
Yeah, and the side with the more
intelligent A. l . will prevail.
765
00:37:39,003 --> 00:37:41,471
WARWlCK: The train
has already left the station.
766
00:37:41,539 --> 00:37:43,234
Machines will dominate.
767
00:37:43,975 --> 00:37:45,966
NARRATOR : Kevin Warwick
thinks our only hope
768
00:37:46,044 --> 00:37:48,740
for controlling
our future intelligent machines
769
00:37:48,813 --> 00:37:51,281
is to become them.
770
00:37:51,349 --> 00:37:52,873
lf you can't beat it, join it.
771
00:37:52,951 --> 00:37:54,111
NARRATOR :
To figure out
772
00:37:54,185 --> 00:37:56,847
how we might join our brains
with machines,
773
00:37:56,921 --> 00:38:00,755
Kevin's lab is conducting
an unusual experiment --
774
00:38:00,825 --> 00:38:03,385
taking live brain cells
from a rat
775
00:38:03,461 --> 00:38:06,521
and embedding electrodes
in them.
776
00:38:06,598 --> 00:38:10,159
WARWlCK:
And when we've got about 1 00, 000
777
00:38:10,234 --> 00:38:14,068
of these neurons linking,
communicating together,
778
00:38:14,138 --> 00:38:17,107
we're connecting it up
to a robot body.
779
00:38:17,175 --> 00:38:19,803
NARRATOR : That's right --
Kevin Warwick is using
780
00:38:19,877 --> 00:38:23,973
the living brain tissue of a rat
to drive a robot.
781
00:38:24,582 --> 00:38:28,882
WARWlCK: That brain is the sole
controller for the robot body.
782
00:38:28,953 --> 00:38:30,784
We don't have
a computer in there
783
00:38:30,855 --> 00:38:34,291
that's doing some little things
and changing the signals.
784
00:38:34,359 --> 00:38:37,192
NARRATOR : Sensors on the robot
can detect the walls.
785
00:38:37,261 --> 00:38:38,956
And through
a wireless connection,
786
00:38:39,030 --> 00:38:42,329
it sends that information
to the sliver of rat brain.
787
00:38:42,400 --> 00:38:44,459
The brain then actually tells it
788
00:38:44,535 --> 00:38:48,494
to turn left or right
to avoid the wall.
789
00:38:48,573 --> 00:38:50,200
WARWlCK:
And the output from the brain,
790
00:38:50,274 --> 00:38:52,708
which we can pick up
as electrical signals
791
00:38:52,777 --> 00:38:56,873
on different electrodes,
drives the wheels of the robot.
792
00:38:56,948 --> 00:39:00,076
NARRATOR : To let the rat brain
know when it's successful,
793
00:39:00,151 --> 00:39:02,745
Kevin stimulates it
with a little extra voltage
794
00:39:02,820 --> 00:39:04,378
as a reward.
795
00:39:04,455 --> 00:39:07,117
Brain cells
like being stimulated.
796
00:39:07,191 --> 00:39:09,489
WARWlCK: lt's a bit like
giving a child an ice cream,
797
00:39:09,560 --> 00:39:12,085
but you can't be sure
the child's going to do
798
00:39:12,163 --> 00:39:13,892
exactly what you want it to do.
799
00:39:13,965 --> 00:39:16,297
And the same is true
with the biological brain.
800
00:39:17,001 --> 00:39:18,696
NARRATOR : Kevin Warwick
isn't just creating
801
00:39:18,770 --> 00:39:21,568
a brain-controlled robot
for fun.
802
00:39:21,639 --> 00:39:24,107
He sees it
as a necessary first step
803
00:39:24,175 --> 00:39:28,612
toward the eventual merger
between man and machine.
804
00:39:28,680 --> 00:39:31,046
WARWlCK: l would be able
to give myself
805
00:39:31,115 --> 00:39:33,982
all sorts of abilities
that l don't have now --
806
00:39:34,052 --> 00:39:37,078
extra memory,
new means of communicating,
807
00:39:37,155 --> 00:39:38,918
getting different sensory input,
808
00:39:38,990 --> 00:39:43,359
instead of being limited
to the five human senses.
809
00:39:43,428 --> 00:39:47,262
Your television set
can sense the world in infrared.
810
00:39:47,331 --> 00:39:48,355
You can't.
811
00:39:48,433 --> 00:39:51,266
Surely you must feel
a bit jealous of that.
812
00:39:51,335 --> 00:39:52,393
l certainly do.
813
00:39:52,470 --> 00:39:54,597
l want an infrared sense.
Why not?
814
00:39:54,672 --> 00:39:57,664
NARRATOR : His goal is
nothing less than to be the one
815
00:39:57,742 --> 00:40:02,270
who ushers in a new age
of fully cyborg humans.
816
00:40:02,346 --> 00:40:04,075
WARWlCK:
That new cyborg
817
00:40:04,148 --> 00:40:07,345
with a part-biological
and part-machine brain
818
00:40:07,418 --> 00:40:10,717
is what will go ahead
and dominate the world
819
00:40:10,788 --> 00:40:12,119
in the future.
www.Downloadha.com
820
00:40:12,190 --> 00:40:17,025
So the future, l see very rosy
if you're a cyborg
821
00:40:17,095 --> 00:40:19,893
or if you're an
artificial-intelligent machine.
822
00:40:19,964 --> 00:40:23,092
lf you're a human,
well, your time's up.
823
00:40:24,435 --> 00:40:28,098
NARRATOR : We won't need to fear
our intelligent-machine future
824
00:40:28,406 --> 00:40:32,137
because as cyborgs,
we will merge with the machines.
825
00:40:32,210 --> 00:40:35,475
And when we do,
it will usher in a new era --
826
00:40:35,546 --> 00:40:39,812
an era of discovery,
problem-solving, and creativity
827
00:40:39,884 --> 00:40:44,719
and one that redefines
what it means to be human.
828
00:40:45,490 --> 00:40:47,958
There's a technology avalanche
on the horizon,
829
00:40:48,025 --> 00:40:50,585
and the landscape
will never be the same.
67243
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