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Hi, and welcome to the Neil
Ashton Podcast.

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In each episode, we explained
some of the fascinating ways

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that science and engineering are
changing the world around us.

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We talked to leading engineers
from elite level sports like

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cycling in Formula One to some
of the world's top academics to

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understand how fluid dynamics,
machine learning, supercomputing

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are bringing in a new era
discovery.

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We also hear some of their life
stories, their career advice,

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the lessons they've learned on
the way that I hope will be

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helpful to you too.
So sit back and enjoy this

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episode.
Hi, and welcome back to the Neil

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Ashton podcast.
Apologies, this episode's a

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couple of days late, but I was
at the NVIDIA GTC conference in

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Washington, DC, and it got me
thinking to myself that maybe,

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maybe it'd be good to do a quick
episode just on the events, the

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conferences, the places that I,
I would recommend going to if

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you wanted, you know, the
continuing education to broaden

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your horizons to learn more
about what's, what's coming

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next.
Hopefully look at it from the

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pure engineering CAECFD sort of
angle and maybe also more on the

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machine learning angle.
And hopefully between the two,

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you'll get some good events,
maybe some of you listening to

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this and go like, I know all
this stuff.

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I know about where to go to
conferences, but I suspect there

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are some.
And I do get this asked a

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reasonable ad time who yeah,
maybe don't quite so often go to

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these events.
They don't come from that

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background and want to know
where should they go to get the

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latest information.
So I'll try and do that.

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It'll be a short episode today.
Maybe that's good for some

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people who find some of the
episodes are two hours long, a

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bit difficult to get through.
I do put chapters in now, which

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I'm hoping helps a little bit,
but I know that they can be

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quite hard to get through in
more in Mongo.

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I am trying to work on doing
some short versions of some.

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So over hopefully the next
couple of months, I'm going to

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try and put some of the previous
episodes I've got, but put them

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out as like 1020 minute
versions.

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If you don't, you don't have a
chance to watch the whole thing.

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Listen to the whole thing.
OK, so where would where would I

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go?
And maybe let's start from the

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more from a industry point of
view, you know, if you're

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wanting to really learn about
what's happening in the

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aerospace industry, what's
happening in space systems,

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what's happening in aeronautics,
you can't get away from the AI

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AA events, The American
Institute of Astronautics and

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Aeronautics.
Oh, it's aeronautics and

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astronautics.
I can never remember which way

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around that is.
These are held every January and

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they're called, that's called
SCYTEC and July, which is called

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aviation.
And these are an interesting

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event because they're sort of a
bridge between two.

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You will see C-Suite of major
engineering defense contractors,

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governments there, you know,
lockheeds and Raytheons and NASA

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and others at at those events
doing like very high level.

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Even some like government
officials will come and do

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panels, etcetera.
There's an exhibition floor.

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But how I was always used to the
AO AA is through quite technical

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talks.
And if you are somebody who

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works in let's, yeah, let's say
like aircraft design, you know,

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that's the place to go.
And some of the big workshops

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there are incredibly useful.
But I'll get to that in a

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minute.
So you can submit papers, They

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get published as a conference
paper, you know, very highly

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regarded in the community.
There is also a journal version

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of it, Journal of aircraft,
journal of, of other things

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through the AI AA, you know, not
that cheap to go to.

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And being completely honest, you
know, sometimes if you're not a

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student, you're talking upwards
of maybe $700.00 for, for the

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fee.
I think they've settled now on

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Florida and San Diego as the
places, but I would still highly

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recommend.
Fantastic for networking.

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You will see all of the key
people in the sort of aerospace

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domain from ACFD and
experimental point of view and

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some structural work as well.
Not as much on machine learning,

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but that is starting to change.
There's only one or two sessions

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out of you know 10s or hundreds
but slowly they are adding more.

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There is an exhibition area.
So if your company listening to

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this, people do sponsor, it's
not that big compared to let's

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say a supercomputing or other
type of events, but there

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definitely is sort of commercial
opportunities.

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I'd say if you're a student, you
should definitely go to one of

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these.
You know, the ability to bump

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into people, ask questions.
Technical talks are 30 minutes

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long, I think, and or 20 to 30
minutes.

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And the thing that I like the
most about the AW are the

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workshops, things like the
highly prediction workshop, drag

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prediction workshop, AI
surrogate modelling workshop,

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which I haven't actually been to
yet, and whatever workshop there

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was like an acoustics workshop.
I'm forgetting others.

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I'm being a bit biased to my
area, but lots of workshops that

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tend to happen either before or
afterwards or sometimes in the

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middle depending on the event.
And those workshops are, I have

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found the best because you
basically got all of the things

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in one place.
They usually book out a room,

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you're there for the whole day.
When I think back, you know,

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10-15 years ago for me, I met
and learned the most from those,

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which I really felt what was the
community doing?

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I just went to some random
talks, not as much, but when it

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was in the workshop because they
often have like a, a workshop

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summary.
And that's part of the reason

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that I interviewed people like
Chris Rumsey in the past,

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because what they've done for
those workshops, you know, has

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really been instrumental in
helping people like me and

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others to understand the area.
And, and that's ultimately why I

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go to a conference.
I want to make a sense of what's

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the community like?
What's the, what are the

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challenges?
What's coming next?

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What are The Who are the main
people?

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What's the main technologies?
Just get to know people.

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I mean, now for me, it's friends
as well.

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It's not just a a work thing,
but I would say you can't beat

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the AI AA conference if you're
from a government background or

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like defence.
I mean, you always have to go to

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those events because the, all
the program managers from the

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DoD, from the like Air Force go
to those.

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Again, Russ Cummings, that's why
I interviewed him.

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You know, he is key part of that
area.

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You'll probably see him almost
all the AI AA.

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So yeah, if you want to know
what's going in aerospace, your

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technical or your sort of
C-Suite, I would definitely go

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to the to the AR AA conferences.
And by the way, this is clearly

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not endorsed in any way by any
of these conferences.

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It's completely just my personal
opinion, nothing to do with

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NVIDIA or anybody else.
I'd say then there are more sort

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of niche workshops or events in
the aerospace which have to date

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normally been done by, by NASA.
NASA has various workshops that

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they'll tend to do with
aerospace companies from ACFD

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side, there were things like the
High Fidelity workshop, there

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was one in May, which was
amazing, really, really good

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event, had the opportunity to
speak there.

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And that was all the best sort
of minds and and it was just a

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great event.
And sometimes they're not that

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well advertised, so you have to
look for them.

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But if you were to Google like
NASA Workshop CFD or NASA

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Workshop Supersonic, you know,
if you're looking for like

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supersonic aircraft design or,
or hypersonics or something.

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So yeah, those are very good.
I'm going to ask you to comment

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maybe if you go, if you're on
YouTube or you can send me a

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message on LinkedIn, if I post
this on LinkedIn to look at what

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conferences to go to, because
I'd like to know from you what

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you think because I maybe I'm
blindsided.

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There are some in Europe and I'm
forgetting the names of them

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now, but I have to say, I find
the AI AA ones pretty big.

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And you know, European folks
from Asia come as well from

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Australia.
Yeah, can't be the AI AA.

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So how about the automotive
side?

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Well, I don't think there's
anything like the AI AA for

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automotive to be fair.
Probably the closest would be

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the SAE, which is the Society of
Automotive Engineers.

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It's probably the one that has,
yeah, the closest connection,

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probably a little bit more US
centric and slightly less

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participation at global level.
I could be wrong, but at least

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from my opinion, quite a lot of
European folks go to a different

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one, which is called FKFS, which
I'll talk about in a second.

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But if you look at SAE, so you
know they have different tracks

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and torques, so they have aero,
acoustics, aerodynamics, engine

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design, car design, systems
crash, you know the whole

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automotive from ACFD point of
view.

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There's often talks from the car
companies and software suppliers

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who who do it.
I'd say the technical rigor is

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maybe not as deep at the AR AA,
but still still OK.

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There is a journal attached to
it, although I don't think it's

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held in the same regard as the
AI AA journal and personal

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opinions here.
But still, if you're trying to

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understand the automotive
community to understand what's

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going on, you'll see, you know,
some top designers and engineers

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from these car companies there.
There was an exhibition area.

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So for you know, for commercial
companies or start-ups wanting

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to to go, that's also a good
one.

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And it's in April in Detroit
every year.

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So that's one, the European
version.

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I would say it's probably FKFS,
which is through the wind

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tunnel.
FKFS, or at least I associate it

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with the wind tunnel.
Maybe it's a different entity,

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which is I think every two years
in Germany.

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And that has, I'd say, you know,
by definition more of a European

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flavour to it, But influential
people go to that event and has

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more experimental or mixture of
experimental got a quite a high

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bar to get accepted there.
So they don't just accept

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everything and and it's a good
community.

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So that's probably on the
European angle.

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There is never one which is a
little bit more now and again,

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yeah, FKFS is still more
experimental and CFD, whereas

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CAE is broader.
You can go to aero vehicles.

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This is ACFD 1.
I think that's also every two

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years that is experimental in
CFD.

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It swaps around locations.
That's not a bad one to go to.

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Now I'm going to plug my own
workshop that I set up with Gary

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Page and now has got a great
list of people and that's auto

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CFD.
So the Automotive CFD Protection

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workshop, which was basically
inspired by the AI AA workshops

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that I spoke about, it's
something I created in 2018 off

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the back of seeing the AI AA and
saying, hey, why isn't there

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something like this for
automotive?

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You know, we're always doing
these benchmarks, doing the CFD

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stuff, but we don't have a place
to go.

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And so I pitched it for a little
bit to get it done.

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I was at Oxford at the time, so
we hosted Oxford, Gary Adams at

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Loughborough, we did that.
And then in the second one,

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Urquhart from Ford joined and
he's gone from strength to

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strength.
And so auto CFD 5, it's going to

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be next year.
So it's usually every two years.

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And that is a very focused
discussion or CFD methodology.

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I would like to say it does have
all the main sort of CFD leads

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from all the major car companies
and software providers now, but

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it is very focused on CFD.
So if you're interested in the

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FEA or anything like that,
that's probably not the right

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place, but it's I even if I
wasn't organizing it, I think it

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would be a great event for for
you to go to so you can look

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that one up.
I would then maybe start to move

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towards slightly less industrial
ones and let's think more around

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like the, the topics of the
physics or the sub area.

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So what I mean by that is you've
got things like ETM, European

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turbulence transition
measurement is a, oh, I'm sorry,

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embarrassing here.
I know the acronyms.

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That's more like a turbulence
modelling one, often in a nice

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place by the sea.
And there's lots of through the

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a cough TAC.
So a cough TAC is a European

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organization and they host lots
of events.

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In fact, there's a really good
one coming up in March that I'm

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helping out with, which is the
ML for fluids.

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So it's a really nice initiative
to try and bring the machine

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learning and the fluids
communities together.

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And that's in Amsterdam.
So Richard Dwight is one of the

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leading people there, professor
there at Delph.

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That's another one of these like
workshop type ones, which

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increasingly I like because
they're typically less than 203

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hundred people.
They typically have some good

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invited speakers, really focused
discussions.

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And considering the theme of
this podcast is often around ML

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and fluids or CFDI would
definitely go because it's all

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about trying to bring these two
communities together.

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It's mainly the fluids
community, but more and more the

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ML people are coming.
And so workshops I think are

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really good.
Now if you are from, let's say

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the CFD domain or aerodynamics
and you go to the AA, AA and you

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go to SAE and you go to some of
the others.

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What you probably aren't aware
of unless you've got into this

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is the ML conferences.
Now the biggest one is Nurips

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and EUR IPS, and I found out
that's how you pronounce it, not

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Nora, IPS, Nurips.
There's a reason for that.

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That's probably the biggest,
most prestigious one where

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actually just having a
conference paper or even a

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poster, it's seen as a big deal.
I've been protected from that

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several Times Now, annoyingly,
but I have been and they have

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lots of workshops as well, like
AI for science, AI for physics.

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Really good one to go to and I
mean just thousands of people

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sponsored by all the tech
companies.

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If you are into machine learning
go, you'll be blown away by the

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attendance there.
Another one is iclear, that's

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another sort of machine learning
one.

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And the other one is ICML.
So between Europe's ICML and

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iclear, those are the top ones.
In fact, if you want to get a

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job at Meta or one of the sort
of tech companies, often you'll

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see or, you know, NVIDIA in our
like more research labs, you'll

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see people say must have eye
clear or nurse papers.

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You know, it's seen as like the
pinnacle from that field.

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So if you've never been to one
of them, highly go.

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And especially the workshops, I
organized one with a few people

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eye clear and it was great.
You get old people focused in

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this room with posters, lots of
young researchers as well.

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And it's all around the world.
They change location every year.

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And it's, yeah, just all around
the world.

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There's a few then that I would
say are now going down the more

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like commercial route.
And this is where, I don't know,

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I sort of changed my mind
halfway through when I was more

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of a pure academic.
I would look down upon these

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events.
So these are the ones like, you

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know, your Siemens conference or
your Answers conference or your

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Dassault conference in like a
vendor conference.

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But they are quite good actually
from a networking point of view

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and from trying to like
understand what's going on.

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They increasingly now they do
try and get some industry

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speakers in from different
companies.

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I've given a talk a few of
these.

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They'll bring some start-ups in.
They're good if you're more like

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dealing from a a contracts point
of view or or management point

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of view.
They're good from a networking

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and you get to meet a lot of the
key people and they could be a

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good exposure for your company.
So probably not so much on the

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academic side, but they're not
bad if your company wants to get

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some more exposure and you're
thinking from slightly more like

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a technical marketing side, the
bigger they often do ones now

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all around the world.
So they'll do like, you know, a

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country Pacific version, but
they they can be good.

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And they often have like
workshops to learn the software.

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So if you want to get some of
your younger staff to go there

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and like learn how to use the
software, they do that.

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So yeah, what I was initially
more skeptical of those, but I

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think that if you pick the right
one, they actually can be not

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too bad from a tech point of
view.

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Then you have my first exposure
to this was, well, actually

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before we do that, maybe I'd go
something like supercomputing.

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I always think supercomputing is
a good conference to go to,

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especially now with convergence
of AI and HPCI.

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Wouldn't if you want to
understand the technology, the

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00:18:07,960 --> 00:18:11,080
hardware and the sort of
software level, but maybe a

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00:18:11,080 --> 00:18:14,040
little bit closer to the
hardware side, they're great to

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go to, very good from a
networking point of view.

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You know, all the hardware
companies, all the vendors, all

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the cloud companies, Christy,
now a lot of the AI companies go

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to supercomputing.
It gets bigger and bigger and

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bigger every year.
That's a good one to go to,

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00:18:29,800 --> 00:18:32,440
especially if you're a company,
you're a sponsor or put a booth

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00:18:32,440 --> 00:18:35,360
there.
They have, of course, the Gordon

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00:18:35,360 --> 00:18:38,640
Bell Prize gets announced there.
So it is quite prestigious.

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There's lots of birds of a
feather box panels, workshops.

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So and it's, it's definitely a
community vibe.

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So it's a bit of a catch all.
You know, it it, it's not a

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specific discipline per SE.
I guess HPC and supercomputing

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00:18:52,720 --> 00:18:55,880
covers lots of areas, but if you
want to learn more about the

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00:18:55,880 --> 00:18:58,280
hardware, which I think is
important, it's part of the

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reason I moved to NVIDIA.
I wanted to know more about the

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00:19:02,600 --> 00:19:05,520
the sort of coming from the
bottom up where I guess if you

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00:19:05,520 --> 00:19:07,240
work for software company,
you're sort of coming from the

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00:19:07,240 --> 00:19:09,920
top down.
Good event to go to there is ISC

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00:19:10,000 --> 00:19:13,880
and Supercomputing Asia that are
the European Asia feels to it.

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00:19:14,680 --> 00:19:17,480
Actually I went to the
supercomputing in Europe.

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00:19:17,480 --> 00:19:20,960
It's a much smaller event, but
again, actually pretty well

321
00:19:20,960 --> 00:19:23,800
attended and had all most of the
major people around.

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00:19:23,800 --> 00:19:26,160
And you know, it's good to talk
to people and ask them what's

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00:19:26,160 --> 00:19:28,040
their opinion?
What how are things moving?

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00:19:29,520 --> 00:19:30,840
OK.
And what I would mean to say is

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00:19:30,840 --> 00:19:35,360
the tech companies, the my first
exposure to this was reinvent

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00:19:35,400 --> 00:19:38,920
when I was at AWS and I was
blown away by the size of this

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00:19:38,920 --> 00:19:41,880
event in Las Vegas.
They book out all these hotels

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00:19:42,400 --> 00:19:45,840
and along the strip and there
must be 10s of thousands of

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00:19:45,840 --> 00:19:50,640
people there, just massive.
And I must admit it was really

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00:19:50,640 --> 00:19:55,000
good because they had so many
workshops and in person events

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00:19:55,200 --> 00:19:57,040
where you could go and learn the
software.

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00:19:57,720 --> 00:20:01,600
They had, you know, amazing
keynotes top, you know, figures

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00:20:01,600 --> 00:20:03,600
from biggest companies in the
world.

334
00:20:04,760 --> 00:20:07,720
And and yeah, from a networking
point of view, from a learning

335
00:20:07,720 --> 00:20:09,680
point of view, you could do
certifications there.

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00:20:10,240 --> 00:20:13,960
And then I saw, you know,
Microsoft, I've never actually

337
00:20:13,960 --> 00:20:16,080
been, but Microsoft do
something, Google do something.

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00:20:16,960 --> 00:20:19,440
And you can't help but come away
from these events feeling like,

339
00:20:19,440 --> 00:20:24,000
wow, I have just understood a
different part of the tech will.

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00:20:24,480 --> 00:20:27,760
And yeah, I guess going full
circle, I just came back from

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00:20:27,760 --> 00:20:32,880
Nvidia's one of these GTC.
And, you know, even if I wasn't

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00:20:32,920 --> 00:20:36,800
working for NVIDIA and when I
asked people who have come to

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00:20:36,800 --> 00:20:39,360
and asked their opinion of it,
you know, they were all blown

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00:20:39,360 --> 00:20:42,760
away and were like, this has
helped me so much to understand

345
00:20:42,760 --> 00:20:45,360
the, the tech landscape.
I, I sort of understand what's

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00:20:45,360 --> 00:20:49,000
going on more now, of course you
come in there to learn about

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00:20:49,000 --> 00:20:53,000
that particular company's
technology, but you know, even

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00:20:53,000 --> 00:20:55,200
if you just watch one of these
keynotes like like Jensen's

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00:20:55,200 --> 00:20:58,680
keynote, it, it does sort of
open your eyes.

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00:20:58,680 --> 00:21:01,360
And, and that's certainly how I
felt even before I joined.

351
00:21:01,720 --> 00:21:06,920
So I think these events, these
industry company events, whilst

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00:21:06,920 --> 00:21:09,120
you could be cynical and say,
oh, they're just like marketing

353
00:21:09,120 --> 00:21:12,760
events actually, especially for
the tech companies that, you

354
00:21:12,760 --> 00:21:15,800
know, got so big and have some
influence on the world, They

355
00:21:15,800 --> 00:21:20,000
actually, they do give you a lot
of insight and it can inspire

356
00:21:20,000 --> 00:21:22,280
you.
And yeah, whether you're a

357
00:21:22,280 --> 00:21:25,520
student trying to get a job, go
that network, you can speak to

358
00:21:25,520 --> 00:21:27,200
people.
IA lot of people come up to me,

359
00:21:27,640 --> 00:21:31,440
you know, who wanted to get some
advice on their career or want

360
00:21:31,440 --> 00:21:32,800
to know how to make the first
steps.

361
00:21:33,120 --> 00:21:34,800
You know, you can go and speak
to these people, you can get

362
00:21:34,800 --> 00:21:37,440
advice.
If you e-mail people, are they

363
00:21:37,440 --> 00:21:39,080
going to reply?
If you send them a message on

364
00:21:39,080 --> 00:21:42,480
LinkedIn, you know, it's hard.
Whereas if you go to an event,

365
00:21:42,480 --> 00:21:46,720
you can go up to them in person
and, and get it so, and often

366
00:21:46,720 --> 00:21:48,520
for students, there's discounts,
etcetera.

367
00:21:48,520 --> 00:21:52,880
So I, I would, I think I should
have gone to more of those

368
00:21:52,880 --> 00:21:55,000
events when I was younger.
Actually, I don't think I did

369
00:21:55,000 --> 00:21:58,160
enough of those.
And I would, I would definitely

370
00:21:58,160 --> 00:22:02,160
encourage it.
So that was, yeah, I probably

371
00:22:02,160 --> 00:22:07,160
missed out so many events and
things that I'm probably going

372
00:22:07,160 --> 00:22:08,880
to regret when I after I posted
this.

373
00:22:08,880 --> 00:22:11,000
But at least I've given you a
bit of a flavour.

374
00:22:11,000 --> 00:22:15,560
Maybe I'll come back to this and
talk about others when I've had

375
00:22:15,560 --> 00:22:18,240
more time to think about it, but
as I said, I'll keep this one

376
00:22:18,240 --> 00:22:22,800
sweet and short.
And yeah, hope it was useful for

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00:22:22,800 --> 00:22:22,880
you.
