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.Q/ %ϹYuZ)GQ5/0V,Ir]Q䇌V=$m@4+Ya00:27:57,680 --> 00:27:59,840
so I'm going to hand it to you.
OK. Right?
589
00:27:59,840 --> 00:28:01,840
So now, this part at the top
in your left hand,
590
00:28:01,840 --> 00:28:03,960
that's the part
that's mounted to the car,
591
00:28:03,960 --> 00:28:05,880
and then, you're able
to spin this part. Ah!
592
00:28:05,880 --> 00:28:08,200
Is it doing like a second
a revolution, or...?
593
00:28:08,200 --> 00:28:10,120
Oh, it does several times a second.
Several times. Yeah.
594
00:28:10,120 --> 00:28:12,080
Oh, so it's going fast?
Oh, yeah, it's going quite fast.
595
00:28:12,080 --> 00:28:13,960
It's literally getting
updates constantly?
596
00:28:13,960 --> 00:28:16,200
Yeah, cos we want
a high refresh rate,
597
00:28:16,200 --> 00:28:18,160
so that we can see things
like motion. Yeah, yeah.
598
00:28:18,160 --> 00:28:20,240
And that's kind of
the active piece, right?
599
00:28:20,240 --> 00:28:23,960
So, that's sending out laser beams,
and then, it's measuring how long
600
00:28:23,960 --> 00:28:26,880
it takes until it sees
the reflection off of an object.
601
00:28:26,880 --> 00:28:30,400
Then it uses the speed of light to
figure out how far away, er,
602
00:28:30,400 --> 00:28:31,640
that thing is.
603
00:28:31,640 --> 00:28:35,040
And by doing that, it's able
to build this 3D structure
604
00:28:35,040 --> 00:28:36,600
of the environment around it.
605
00:28:36,600 --> 00:28:39,520
Yeah, and that's where
the AI comes in, to take those...
606
00:28:39,520 --> 00:28:42,120
..the data it's reading back.
That's exactly right.
607
00:28:42,120 --> 00:28:44,760
The AI model is taking
the LiDAR points and the pixels
608
00:28:44,760 --> 00:28:48,880
from the camera, and the radar
returns, and it's using all of those
609
00:28:48,880 --> 00:28:51,800
together to predict the behaviour
of all of the objects.
610
00:28:51,800 --> 00:28:55,280
Then we can figure out how to
safely go and traverse, you know,
611
00:28:55,280 --> 00:28:57,800
the roads near all of this.
612
00:28:57,800 --> 00:29:00,720
Not only carrying passengers,
but travelling alongside
613
00:29:00,720 --> 00:29:05,080
human-driven cars, the issue of
how safe they are is a big one.
614
00:29:05,080 --> 00:29:08,200
There have already been incidents
of malfunctions and collisions
615
00:29:08,200 --> 00:29:10,000
involving autonomous vehicles,
616
00:29:10,000 --> 00:29:12,120
which concern many about their use.
617
00:29:12,120 --> 00:29:15,520
For me, though, trusting a computer
in a car is not massively different
618
00:29:15,520 --> 00:29:17,560
from trusting a driver I don't know,
619
00:29:17,560 --> 00:29:20,040
and I'm certainly excited by
the freedom of being
620
00:29:20,040 --> 00:29:21,920
in a car on my own.
621
00:29:21,920 --> 00:29:25,160
It won't be long till we have
autonomous vehicles on the streets
622
00:29:25,160 --> 00:29:28,440
in Britain, after the UK Government
changed rules to accelerate
623
00:29:28,440 --> 00:29:32,480
their roll-out, with trials
scheduled for spring 2026.
624
00:29:36,480 --> 00:29:40,640
My time in San Francisco is over,
and I'm off to the east coast -
625
00:29:40,640 --> 00:29:43,200
specifically Boston.
626
00:29:43,200 --> 00:29:46,080
I'm here because I've been
invited to the world-renowned
627
00:29:46,080 --> 00:29:48,800
Massachusetts Institute
of Technology,
628
00:29:48,800 --> 00:29:52,920
to meet a tech inventor who is
developing wearable robotics.
629
00:29:52,920 --> 00:29:55,880
MIT has long been associated with
developments in science
630
00:29:55,880 --> 00:29:59,840
and technology that have been
integrated into everyday life.
631
00:29:59,840 --> 00:30:03,040
Computer passwords,
electronic spreadsheets, GPS -
632
00:30:03,040 --> 00:30:05,400
MIT played a part in all of them.
633
00:30:09,320 --> 00:30:10,960
Here we are. Second floor.
634
00:30:10,960 --> 00:30:12,520
This is the floor of my lab.
635
00:30:14,800 --> 00:30:18,720
Hugh Herr is a biophysicist,
who is a leading figure in
636
00:30:18,720 --> 00:30:22,160
the development of
bionic limb technology.
637
00:30:22,160 --> 00:30:23,440
Here's my lab.
638
00:30:23,440 --> 00:30:25,640
This is called
the Biomechatronics Group.
639
00:30:25,640 --> 00:30:27,480
Erm, it's a large volume...
That's a cracking name, innit?
640
00:30:27,480 --> 00:30:28,960
..really high ceilings. Yeah.
641
00:30:28,960 --> 00:30:31,560
It's a mess, to be honest.
Ha-ha!
642
00:30:31,560 --> 00:30:35,160
And there's students working,
and just robots and 3D printers,
643
00:30:35,160 --> 00:30:37,040
and cameras all over the place.
644
00:30:37,040 --> 00:30:39,960
So, the focus of this lab
is we develop robots
645
00:30:39,960 --> 00:30:42,160
that attach to humans.
646
00:30:42,160 --> 00:30:44,240
So, we're obsessed with limbs.
Yeah.
647
00:30:44,240 --> 00:30:46,000
We're obsessed with arms and legs.
648
00:30:46,000 --> 00:30:48,400
So, arms, we want to enhance
people's abilities
649
00:30:48,400 --> 00:30:49,720
to manipulate objects.
650
00:30:49,720 --> 00:30:52,880
With legs, we want to enhance
people's ability to run,
651
00:30:52,880 --> 00:30:54,640
jump, walk, and so on. Yeah.
652
00:30:54,640 --> 00:30:58,600
And we not only focus on persons
with some type of limb condition,
653
00:30:58,600 --> 00:31:01,960
but also persons with completely,
quote-unquote, "normal" limbs.
654
00:31:01,960 --> 00:31:05,280
And obviously, when you're talking
about, you know, people with -
655
00:31:05,280 --> 00:31:07,160
problem with limbs,
you've lost your legs.
656
00:31:07,160 --> 00:31:08,520
But I gained eight.
657
00:31:08,520 --> 00:31:10,480
My closet has lots of
artificial legs.
658
00:31:10,480 --> 00:31:11,760
CHRIS LAUGHS
659
00:31:11,760 --> 00:31:13,880
So, like, I've moved up
in the world.
660
00:31:13,880 --> 00:31:15,840
I was in a mountain
climbing accident,
661
00:31:15,840 --> 00:31:17,560
suffered frostbite to my lower legs.
662
00:31:17,560 --> 00:31:21,200
Right. My biological limbs were
amputated just below the knee.
663
00:31:21,200 --> 00:31:24,040
Right. And I was fitted with
artificial limbs,
664
00:31:24,040 --> 00:31:27,920
and really not happy at the time
with how low-tech they were.
665
00:31:27,920 --> 00:31:30,320
Wooden blocks with some foam.
Yeah.
666
00:31:30,320 --> 00:31:32,360
Like, I'm not exaggerating. Yeah.
667
00:31:32,360 --> 00:31:35,280
And I said to myself,
"You've got to be kidding me.
668
00:31:35,280 --> 00:31:39,280
"This is what exists in the age of
space flight and the internet?
669
00:31:39,280 --> 00:31:41,120
"Are you kidding me?"
Yeah, yeah, yeah.
670
00:31:41,120 --> 00:31:45,440
So really, at that time, I dedicated
my life to advancing technologies.
671
00:31:46,560 --> 00:31:50,400
Half the lab, we're trying
to mitigate disability.
672
00:31:50,400 --> 00:31:53,320
So, persons that have
a limb amputation -
673
00:31:53,320 --> 00:31:55,560
we do bionic reconstructions.
674
00:31:55,560 --> 00:31:58,800
Or a person that suffered a spinal
cord injury and has paralysis -
675
00:31:58,800 --> 00:32:02,240
we build these smart,
motorised exoskeletons,
676
00:32:02,240 --> 00:32:04,800
or we stimulate the muscles
to restore movement.
677
00:32:04,800 --> 00:32:07,400
And then, the other half of
the lab is augmentation,
678
00:32:07,400 --> 00:32:11,400
extending human capability beyond
innate physiological levels.
679
00:32:11,400 --> 00:32:14,160
From the early development of
his own prosthetic limbs
680
00:32:14,160 --> 00:32:15,680
and his work with disability,
681
00:32:15,680 --> 00:32:18,280
Hugh's lab has now moved
into the mainstream,
682
00:32:18,280 --> 00:32:20,520
with robotic systems
that everyone can wear
683
00:32:20,520 --> 00:32:24,040
to improve mobility -
including me.
684
00:32:24,040 --> 00:32:29,040
In front of you here is a mysterious
black box with an exoskeleton.
685
00:32:29,040 --> 00:32:32,160
We're actually the first group
in the world to show that
686
00:32:32,160 --> 00:32:36,000
we can augment human movement
with a leg exoskeleton.
687
00:32:36,000 --> 00:32:39,000
OK. So today you're, going to try
this really cool hardware...
688
00:32:39,000 --> 00:32:40,600
I'm going to try it? Yeah. OK.
689
00:32:40,600 --> 00:32:43,000
..that'll put energy in your step.
It's super-fun.
690
00:32:43,000 --> 00:32:46,080
We describe these as an
e-bike for legs.
691
00:32:46,080 --> 00:32:49,560
Is it? OK, let's have a go.
Cool. Absolutely.
692
00:32:49,560 --> 00:32:51,440
I'm excited by this.
693
00:32:51,440 --> 00:32:52,920
Yeah, I think you'll love it.
694
00:32:52,920 --> 00:32:54,520
HE LAUGHS
The future, right?
695
00:32:57,160 --> 00:33:00,040
These exo-boots are designed
to make walking and running
696
00:33:00,040 --> 00:33:01,440
easier for everybody,
697
00:33:01,440 --> 00:33:05,320
meaning there are use cases in daily
activities and rehabilitation.
698
00:33:07,760 --> 00:33:09,920
Just walk normally.
699
00:33:09,920 --> 00:33:12,920
So, they're in a trans...
transparent mode.
700
00:33:12,920 --> 00:33:15,960
So, these are learning from
the way I walk? Exactly.
701
00:33:15,960 --> 00:33:19,080
Collecting data,
developing a model for you.
702
00:33:19,080 --> 00:33:22,120
And is it using AI for that?
Some, yeah.
703
00:33:22,120 --> 00:33:24,280
And how do I know
when it's turned itself on?
704
00:33:24,280 --> 00:33:26,320
You'll feel it. It feels like it's
doing something different now.
705
00:33:26,320 --> 00:33:27,480
Yeah, maybe.
706
00:33:27,480 --> 00:33:29,280
Are you feeling energy?
707
00:33:29,280 --> 00:33:30,520
You're walking faster.
708
00:33:30,520 --> 00:33:31,560
Ha-ha-ha!
709
00:33:33,560 --> 00:33:35,200
Oh, my goodness!
710
00:33:35,200 --> 00:33:37,400
OK, now we're cooking on gas.
711
00:33:39,400 --> 00:33:41,160
I can barely keep up with you.
712
00:33:41,160 --> 00:33:43,240
THEY BOTH CHUCKLE
713
00:33:44,680 --> 00:33:47,560
It feels like there's something
under my foot, but it's...
714
00:33:47,560 --> 00:33:49,920
It's the thing on the side...
Yeah, which is...
715
00:33:49,920 --> 00:33:51,600
..almost contracting
and pulling my foot up.
716
00:33:51,600 --> 00:33:53,920
Yeah, which is a motor and
a transmission system
717
00:33:53,920 --> 00:33:56,520
that's applying a torque,
a lot of mechanical power
718
00:33:56,520 --> 00:33:58,600
about your ankle joint. Yeah.
719
00:33:58,600 --> 00:34:02,160
So, it's an equivalent mechanical
action as your calf muscle,
720
00:34:02,160 --> 00:34:03,920
so it's a robotic calf muscle.
721
00:34:03,920 --> 00:34:06,600
And can we clear a space,
and me just do a walk down there
722
00:34:06,600 --> 00:34:08,520
and back on my own with these, yeah?
Absolutely. Let's go this way.
723
00:34:08,520 --> 00:34:10,040
We'll turn you around.
Yeah, yeah.
724
00:34:10,040 --> 00:34:12,760
Can you shout "stop" if there's
a balcony or an open window?
725
00:34:12,760 --> 00:34:14,640
OK.
726
00:34:14,640 --> 00:34:17,160
OK, to your right.
Go to your right. Good.
727
00:34:17,160 --> 00:34:18,200
You're good.
728
00:34:23,400 --> 00:34:26,280
Beautiful.
Give us a shout!
729
00:34:26,280 --> 00:34:28,680
Come to me. I'm coming, Hugh!
730
00:34:28,680 --> 00:34:31,200
THEY LAUGH
731
00:34:31,200 --> 00:34:35,080
That's great. I mean,
what a bizarre sensation.
732
00:34:35,080 --> 00:34:38,240
It's quite remarkable,
the, erm, sensation.
733
00:34:38,240 --> 00:34:40,800
You look like you're starting
to dance. Huh?!
734
00:34:40,800 --> 00:34:42,160
Are you starting to dance?
735
00:34:42,160 --> 00:34:44,680
I spent four months dancing
at the end of last year.
736
00:34:44,680 --> 00:34:46,600
I, erm, I find myself just doing
737
00:34:46,600 --> 00:34:49,080
little pirouettes at
home these days.
738
00:34:49,080 --> 00:34:51,680
But this is, erm,
this is the future.
739
00:34:51,680 --> 00:34:54,160
This is what you see...
The future of human mobility.
740
00:34:54,160 --> 00:34:57,400
It's exciting that this is
where the future's going.
741
00:34:59,800 --> 00:35:03,400
For me, I would love this to be
matched up with something
742
00:35:03,400 --> 00:35:07,760
that allowed me to navigate myself,
as well, and solve a problem
743
00:35:07,760 --> 00:35:11,520
that I have, which is getting
around, independence.
744
00:35:11,520 --> 00:35:15,640
I think there's always something
to be said for matching technologies
745
00:35:15,640 --> 00:35:19,080
together to solve problems that
maybe people hadn't considered
746
00:35:19,080 --> 00:35:20,760
when they developed them.
747
00:35:20,760 --> 00:35:23,120
It's exciting, and this is
just the start of it.
748
00:35:24,600 --> 00:35:27,640
Pioneering tech that can help
outside the body is one thing.
749
00:35:27,640 --> 00:35:30,480
But there is a large field
of work looking at using tech
750
00:35:30,480 --> 00:35:31,960
inside the body.
751
00:35:31,960 --> 00:35:34,880
There have already been trials
of chips that can be implanted
752
00:35:34,880 --> 00:35:37,560
to treat specific conditions -
including sight loss,
753
00:35:37,560 --> 00:35:40,440
where they have enabled people
to regain a small amount of sight,
754
00:35:40,440 --> 00:35:44,000
which is something that
I wouldn't consider - yet.
755
00:35:44,000 --> 00:35:47,920
There is a world where technology
could restore eyesight, but I...
756
00:35:47,920 --> 00:35:51,080
I think it's one of those things
that it would have to be...
757
00:35:51,080 --> 00:35:54,600
..it would have to be good enough
to be life-changing.
758
00:35:54,600 --> 00:36:00,880
It would have to be enough
to provide true...independence,
759
00:36:00,880 --> 00:36:02,280
make a real difference.
760
00:36:04,000 --> 00:36:06,960
When you're in the last dregs
of your eyesight, you know,
761
00:36:06,960 --> 00:36:09,120
you're always trying
to cope with something that
762
00:36:09,120 --> 00:36:10,480
isn't good enough any more.
763
00:36:10,480 --> 00:36:12,760
If you were to say,
do you want enough sight back
764
00:36:12,760 --> 00:36:14,120
that I had when I was 20?
765
00:36:14,120 --> 00:36:17,880
Not really, no, because,
you know, having to depend on
766
00:36:17,880 --> 00:36:20,360
a small amount of eyesight...
767
00:36:20,360 --> 00:36:22,560
..can be more problematic
than it's worth.
768
00:36:24,440 --> 00:36:27,480
Here at MIT, they have made
a breakthrough that could change
769
00:36:27,480 --> 00:36:29,000
health care for all of us.
770
00:36:29,000 --> 00:36:32,800
Led by Professor Deblina Sarkar,
a trans-disciplinary innovator,
771
00:36:32,800 --> 00:36:35,520
they are bridging the gap
between nanotechnology
772
00:36:35,520 --> 00:36:38,000
and synthetic biology.
773
00:36:38,000 --> 00:36:41,600
At the Nano-Cybernetic Biotrek lab -
what a name -
774
00:36:41,600 --> 00:36:45,280
Deblina and her team are using the
very latest in nanotechnology
775
00:36:45,280 --> 00:36:48,240
to do something
only previously conceived of
776
00:36:48,240 --> 00:36:50,200
in science fiction movies.
777
00:36:50,200 --> 00:36:54,280
Here, they are developing minuscule
devices that are smaller
778
00:36:54,280 --> 00:36:57,720
than a human cell,
and invisible to the naked eye.
779
00:36:57,720 --> 00:37:01,160
The aim is to inject them into
the body to treat various conditions
780
00:37:01,160 --> 00:37:03,200
without the need for surgery.
781
00:37:03,200 --> 00:37:05,440
It's the coolest name for a lab,
first of all.
782
00:37:05,440 --> 00:37:06,520
Oh, thank you so much.
783
00:37:06,520 --> 00:37:09,520
Nano means small, and cybernetic
means chips that work with
784
00:37:09,520 --> 00:37:12,080
the human body -
and biotrek, I'm guessing,
785
00:37:12,080 --> 00:37:15,120
means they travel inside the body.
Am I close?
786
00:37:15,120 --> 00:37:19,480
Er, you're very, very close, yeah.
THEY BOTH LAUGH
787
00:37:19,480 --> 00:37:22,240
So, you're probably one of
the first person to, you know,
788
00:37:22,240 --> 00:37:24,840
get the name, like, right.
789
00:37:24,840 --> 00:37:28,360
I've been practising it outside
for three hours. Oh!
790
00:37:30,200 --> 00:37:34,560
So, yeah, nano means small -
specifically it means nanometre.
791
00:37:34,560 --> 00:37:37,960
Yeah. So, if we take a strand
of hair and divide
792
00:37:37,960 --> 00:37:40,280
the thickness 10,000 times...
793
00:37:40,280 --> 00:37:41,920
A 10,000th of a hair?
794
00:37:41,920 --> 00:37:45,400
It's very, very tiny, things which
you cannot see with the naked eye.
795
00:37:45,400 --> 00:37:48,120
Wow. I mean, so this is the future,
really, isn't it? Yeah.
796
00:37:48,120 --> 00:37:54,400
Actually, the goal of my lab is
to fuse these nanoelectronics
797
00:37:54,400 --> 00:37:57,640
with biology for health care.
Yeah.
798
00:37:57,640 --> 00:38:02,360
Specifically to reduce human
suffering and treat diseases, er,
799
00:38:02,360 --> 00:38:04,920
such as Alzheimer's, Parkinson's.
800
00:38:06,280 --> 00:38:09,760
The hope is that the devices
Deblina is creating can be targeted
801
00:38:09,760 --> 00:38:12,800
to specific parts of the body,
travelling through the bloodstream
802
00:38:12,800 --> 00:38:15,480
and implanting themselves
where needed,
803
00:38:15,480 --> 00:38:19,000
then tuning the body's electrical
signals to restore the function
804
00:38:19,000 --> 00:38:22,720
of damaged cells, and potentially
slow the spread of disease.
805
00:38:22,720 --> 00:38:25,240
So far, it's only been
tested in animals,
806
00:38:25,240 --> 00:38:28,600
but the possibilities of
this tech are revolutionary.
807
00:38:29,640 --> 00:38:33,040
Our first thing that we are doing
808
00:38:33,040 --> 00:38:36,080
is treat diseases related
to the brain.
809
00:38:36,080 --> 00:38:38,040
Brain cancer, for example.
810
00:38:38,040 --> 00:38:41,120
What we have shown in
our animal work is that,
811
00:38:41,120 --> 00:38:43,960
by precisely modulating
bioelectricity...
812
00:38:43,960 --> 00:38:46,040
You stop it growing.
..in the tumour environment,
813
00:38:46,040 --> 00:38:48,560
you can actually completely halt
the growth of tumour.
814
00:38:48,560 --> 00:38:51,040
I want to scale this technology
and get it to clinic
815
00:38:51,040 --> 00:38:55,520
as soon as possible,
but we are also doing it, like,
816
00:38:55,520 --> 00:38:57,800
very responsibly, as well.
817
00:38:57,800 --> 00:38:59,920
We really want to make sure that,
you know,
818
00:38:59,920 --> 00:39:04,120
when you go to clinical trials,
you know, it's something...
819
00:39:04,120 --> 00:39:05,920
Best chance of success.
..that can really work, right?
820
00:39:05,920 --> 00:39:07,280
Yeah. Yeah, yeah, yeah.
821
00:39:07,280 --> 00:39:09,800
Now it's time, really,
to scale it up... Yeah.
822
00:39:09,800 --> 00:39:13,640
..do the implementation now,
like, get the FDA approval,
823
00:39:13,640 --> 00:39:16,320
so that we can start
the clinical trials, we believe,
824
00:39:16,320 --> 00:39:17,560
in the next three years.
825
00:39:17,560 --> 00:39:18,600
Three years? Yeah.
826
00:39:18,600 --> 00:39:22,840
This is a documentary in itself,
isn't it?
827
00:39:22,840 --> 00:39:25,200
While her early work
has related to cancers,
828
00:39:25,200 --> 00:39:28,080
another area that Deblina
is researching is using
829
00:39:28,080 --> 00:39:30,840
these nano-devices to
treat sight loss.
830
00:39:30,840 --> 00:39:33,640
I've got an eye condition,
a disease -
831
00:39:33,640 --> 00:39:38,080
so the retinal cells die off
slowly over time.
832
00:39:38,080 --> 00:39:41,960
So, these nanochips
that you're creating,
833
00:39:41,960 --> 00:39:45,400
would they almost be something
834
00:39:45,400 --> 00:39:51,400
that would replace photocells
in the eye, or...?
835
00:39:51,400 --> 00:39:53,440
If you're talking about
my condition...
836
00:39:53,440 --> 00:39:54,760
Yeah, absolutely.
837
00:39:54,760 --> 00:40:02,520
Because these devices can harness
this light that falls on the eye,
838
00:40:02,520 --> 00:40:05,440
they can convert it into
electrical signals,
839
00:40:05,440 --> 00:40:07,080
which can be sent to the brain.
840
00:40:07,080 --> 00:40:10,080
So, though those
specific cells are destroyed,
841
00:40:10,080 --> 00:40:14,880
we can actually send information
a person would otherwise see
842
00:40:14,880 --> 00:40:16,080
to the brain.
843
00:40:16,080 --> 00:40:19,440
So, it totally bypasses
those degraded cells.
844
00:40:19,440 --> 00:40:23,760
It is possible that a person
can still get the vision back,
845
00:40:23,760 --> 00:40:26,960
even when those cells have
been destroyed.
846
00:40:26,960 --> 00:40:29,680
Each of these devices or chips
847
00:40:29,680 --> 00:40:33,920
would almost individually
replace photoreceptor cells?
848
00:40:33,920 --> 00:40:37,920
Yes. So, a lot of them would be
sent in...
849
00:40:37,920 --> 00:40:39,840
Yes. ..to attach to a retina.
850
00:40:39,840 --> 00:40:44,120
Yeah. The resolution we can get is,
in fact, even better than what
851
00:40:44,120 --> 00:40:49,000
a person with eyesight can,
you know, resolve.
852
00:40:49,000 --> 00:40:51,920
So, you're saying not only
do you reckon,
853
00:40:51,920 --> 00:40:54,760
at some point in the future
you could restore my vision,
854
00:40:54,760 --> 00:40:57,680
but you could make my sight better
than everybody else's?
855
00:40:57,680 --> 00:41:01,880
Exactly! You can augment humans
beyond what biology provides.
856
00:41:01,880 --> 00:41:03,240
And we can do other things -
857
00:41:03,240 --> 00:41:05,880
like we can add night-vision,
for example.
858
00:41:05,880 --> 00:41:07,960
BOTH LAUGH
859
00:41:07,960 --> 00:41:10,880
It does sound like crazy
science fiction, though.
860
00:41:10,880 --> 00:41:14,080
It's like... Yeah. ..to say we've
got devices 10,000th the size of -
861
00:41:14,080 --> 00:41:18,200
the width of a human hair,
you can put it in the body,
862
00:41:18,200 --> 00:41:19,640
it knows where it's going,
863
00:41:19,640 --> 00:41:21,960
it knows what it's doing
when it gets there... Yeah.
864
00:41:21,960 --> 00:41:24,960
..and it can fix problems,
make you see,
865
00:41:24,960 --> 00:41:28,160
make you think better,
cure diseases.
866
00:41:28,160 --> 00:41:31,760
Deblina and her team are yet
to undertake human trials,
867
00:41:31,760 --> 00:41:34,120
but if they can show
the same encouraging results
868
00:41:34,120 --> 00:41:37,680
they did in their animal work,
then this could be game-changing -
869
00:41:37,680 --> 00:41:39,640
not just for me, but for all of us.
870
00:41:39,640 --> 00:41:43,320
And that is something I did not
expect to find when I set out.
871
00:41:43,320 --> 00:41:45,200
I've always been of
the opinion that,
872
00:41:45,200 --> 00:41:48,040
if you're going to restore sight,
you need to do it biologically,
873
00:41:48,040 --> 00:41:51,640
because you're restricted
by technology, you know?
874
00:41:51,640 --> 00:41:54,760
You don't want something
that's going to be obsolete.
875
00:41:54,760 --> 00:41:58,960
Erm, but I'd never really considered
that technology could be used
876
00:41:58,960 --> 00:42:01,080
on a cellular level.
877
00:42:01,080 --> 00:42:02,840
Erm, so it-it's...
878
00:42:03,920 --> 00:42:06,920
It's something I'd never
considered in that regard before.
879
00:42:06,920 --> 00:42:09,280
I came into this thinking
it was the far future -
880
00:42:09,280 --> 00:42:12,280
and it's not as far as
we thought, is it?
881
00:42:12,280 --> 00:42:14,120
It's kind of just around the corner.
882
00:42:18,360 --> 00:42:20,720
We've looked at everything
that's there at the minute,
883
00:42:20,720 --> 00:42:22,360
and what we are on the cusp of.
884
00:42:22,360 --> 00:42:24,560
And the thing about all
of this technology,
885
00:42:24,560 --> 00:42:26,000
it's an enabler, isn't it?
886
00:42:26,000 --> 00:42:28,800
It gives you independence
and autonomy.
887
00:42:28,800 --> 00:42:33,480
For me, it makes the differences
of disability so much smaller.
888
00:42:33,480 --> 00:42:36,680
And if you can achieve things
and do things on your own -
889
00:42:36,680 --> 00:42:38,200
and when I say on your own,
890
00:42:38,200 --> 00:42:41,520
the extension of AI and computers
counts as on your own -
891
00:42:41,520 --> 00:42:43,800
then that's a good thing, isn't it?
892
00:42:45,560 --> 00:42:47,960
Are you excited about the
possibilities of the future?
893
00:42:47,960 --> 00:42:50,160
I mean, yeah.
Let's do another documentary,
894
00:42:50,160 --> 00:42:51,640
and we'll come here and, erm,
895
00:42:51,640 --> 00:42:55,480
we'll let her inject me,
high-resolution night-vision,
896
00:42:55,480 --> 00:42:57,720
and then, I'll kick your arse
at Laser Quest.
897
00:42:59,840 --> 00:43:02,120
If you still thought that your
smartphone was just for
898
00:43:02,120 --> 00:43:03,680
taking photographs or sending texts,
899
00:43:03,680 --> 00:43:05,720
then you haven't been
paying attention.
900
00:43:05,720 --> 00:43:08,280
Explore more with the Open
University by scanning
901
00:43:08,280 --> 00:43:10,560
the QR code that is
on your screen now,
902
00:43:10,560 --> 00:43:11,960
or by visiting...
903
00:43:16,720 --> 00:43:20,280
..where you can learn about
how existing smartphone features
904
00:43:20,280 --> 00:43:23,360
designed for greater accessibility
can benefit everybody.
905
00:43:24,680 --> 00:43:25,720
Bang!