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Hi, and welcome to the Neil 
 
Ashton Podcast. 

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In each episode, we explain 
 
some of the fascinating ways 

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that science and engineering are

 changing the world around us. 

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We talk to leading engineers 
 
from elite level sports like 

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

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understand how fluid dynamics, 

machine learning and 

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supercomputing are bringing in a
new era of 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, 

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

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if 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, CAE/CFD sort 
of 
 angle and maybe also more 

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on the 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 amount of time who 
yeah, 
 maybe don't quite so 

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often go to 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. 
 

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Maybe that's good for some 
people who find some of the 
 

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episodes are two hours long, a 
bit difficult to get through. 
 

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I do put chapters in now, which 
I'm hoping helps a little bit, 


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but I know that they can be 
quite hard to get through in 
 

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more in one go. 
I am trying to work on doing 
 

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some short versions of some. 
So over hopefully the next 
 

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couple of months, I'm going to 
try and put some of the previous

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 episodes I've got, but put 
them out as like 10–20-minute 
 

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versions. 
If you don't, you don't have a 


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chance to watch the whole thing.
Listen to the whole thing. 
 

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OK, so where would where would I
go? 
 

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And maybe let's start from the 
more from a industry point of 
 

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view, you know, if you're 
wanting to really learn about 
 

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what's happening in the 
aerospace industry, what's 
 

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happening in space systems, 
what's happening in aeronautics,

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 you can't get away from the 
AIAA events, the American 

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Institute of Aeronautics and 
Aeronautics. 
 

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Oh, it's aeronautics and 
astronautics. 
 

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I can never remember which way 
around that is. 
 

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These are held every January and
they're called, that's called 
 

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SciTech and July, which is 
called aviation. 
 

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And these are an interesting 
event because they're sort of a 

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 bridge between two. 
You will see C-Suite of major 
 

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engineering defense contractors,
governments there, you know, 
 

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Lockheeds and Raytheons and NASA
and others at at those events 
 

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doing like very high level. 
Even some like government 
 

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officials will come and do 
panels, etcetera. 
 

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There's an exhibition floor. 
But how I was always used to the

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 AIAA is through quite 
technical talks. 
 

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And if you are somebody who 
works in let's, yeah, let's say 

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 like aircraft design, you know,
that's the place to go. 
 

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And some of the big workshops 
there are incredibly useful. 
 

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But I'll get to that in a 
minute. 
 

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So you can submit papers, They 
get published as a conference 
 

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paper, you know, very highly 
regarded in the community. 
 

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There is also a journal version 
of it, Journal of aircraft, 
 

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journal of, of other things 
through the AIAA, you know, not 

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 that cheap to go to. 
And being completely honest, you

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 know, sometimes if you're not 
a student, you're talking 

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upwards 
 of maybe $700.00 for, 
for the fee. 
 

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I think they've settled now on 
Florida and San Diego as the 
 

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places, but I would still highly
recommend. 
 

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Fantastic for networking. 
You will see all of the key 
 

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people in the sort of aerospace 
domain from a CFD and 
 

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experimental point of view and 
some structural work as well. 
 

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Not as much on machine learning,
but that is starting to change. 

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There's only one or two sessions

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

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more. 
There is an exhibition area. 
 

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So if your company listening to 
this, people do sponsor, it's 
 

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not that big compared to let's 
say a supercomputing or other 
 

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type of events, but there 
definitely is sort of commercial

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 opportunities. 
I'd say if you're a student, you

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 should definitely go to one of
these. 
 

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You know, the ability to bump 
into people, ask questions. 
 

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Technical talks are 30 minutes 
long, I think, and or 20 to 30 


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minutes. 
And the thing that I like the 
 

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most about the AIAA are the 
workshops, things like the 
 

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High Lift Prediction Workshop, 
drag prediction workshop, AIAA 

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Surrogate Modeling Workshop, 
which I haven't actually been to

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 yet, and whatever workshop 
there was like an acoustics 

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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. 
 

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When I think back, you know, 
10-15 years ago for me, I met 
 

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and learned the most from those,
which I really felt what was the

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 community doing? 
I just went to some random 
 

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talks, not as much, but when it 
was in the workshop because they

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 often have like a, a workshop 
summary. 
 

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And that's part of the reason 
that I interviewed people like 


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Chris Rumsey in the past, 
because what they've done for 
 

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those workshops, you know, has 
really been instrumental in 
 

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helping people like me and 
others to understand the area. 


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And, and that's ultimately why I
go to a conference. 
 

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I want to make sense of what's 
the community like? 
 

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What's the, what are the 
challenges? 
 

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What's coming next? 
What are The Who are the main 
 

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people? 
What's the main technologies? 
 

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Just get to know people. 
I mean, now for me, it's friends

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 as well. 
It's not just a a work thing, 
 

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but I would say you can't beat 
the AIAA conference if you're 
 

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from a government background or 
like defence. 
 

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I mean, you always have to go to
those events because the, all 
 

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the program managers from the 
DoD, from the like Air Force go 

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 to those. 
Again, Russ Cummings, that's why

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 I interviewed him. 
You know, he is key part of that

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 area. 
You'll probably see him at 

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almost all the AIAA conferences.
So yeah, if you want to know 
 

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what's going on in aerospace, 
whether you're technical or your

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sort of 
 C-Suite, I would 
definitely go to the to the AIAA

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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 

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date normally been done by, by 
NASA. 
 

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NASA has various workshops that 
they'll tend to do with 
 

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aerospace companies from a CFD 
side, there were things like the

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 High Fidelity workshop, there 
was one in May, which was 
 

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amazing, really, really good 
event, had the opportunity to 
 

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speak there. 
And that was all the best sort 


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of minds and and it was just a 
great event. 
 

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And sometimes they're not that 
well advertised, so you have to 

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 look for them. 
But if you were to Google like 


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NASA Workshop CFD or NASA 
Workshop Supersonic, you know, 


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if you're looking for like 
supersonic aircraft design or, 


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or hypersonics or something. 
So yeah, those are very good. 
 

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I'm going to ask you to comment 
maybe if you go, if you're on 
 

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YouTube or you can send me a 
message on LinkedIn, if I post 


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this on LinkedIn to look at what
conferences to go to, because 
 

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I'd like to know from you what 
you think because I maybe I'm 
 

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blindsided. 
There are some in Europe and I'm

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 forgetting the names of them 
now, but I have to say, I find 


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the AIAA ones pretty big. 
And you know, European folks 
 

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from Asia come as well from 
Australia. 
 

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Yeah, can't beat the AIAA. 
So how about the automotive 
 

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side? 
Well, I don't think there's 
 

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anything like the AIAA for 
automotive to be fair. 
 

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Probably the closest would be 
the SAE, which is the Society of

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 Automotive Engineers. 
It's probably the one that has, 

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 yeah, the closest connection, 
probably a little bit more US 
 

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centric and slightly less 
participation at global level. 


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I could be wrong, but at least 
from my opinion, quite a lot of 

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 European folks go to a 
different one, which is called 

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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 talks, 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 a CFD point of 

view. 

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There's often talks from the car

 companies and software 

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

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maybe not as deep as at the 
AIAA, 
 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 

AIAA 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 

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engineers from these car 
companies there. 
 

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There was an exhibition area. 
So for you know, for commercial 

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 companies or start-ups wanting 
to to go, that's also a good 
 

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one. 
And it's in April in Detroit 
 

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every year. 
So that's one, the European 
 

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version. 
I would say it's probably FKFS, 

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 which is through the Stuttgart 
wind tunnel. 
 

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FKFS, or at least I associate it
with the wind tunnel. 
 

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Maybe it's a different entity, 
which is I think every two years

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 in Germany. 
And that has, I'd say, you know,

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 by definition more of a 
European flavour to it, But 

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influential 
 people go to that 
event and has more experimental,

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or a mixture of experimental and
CFD. 

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It's got quite a high bar to get
accepted there. 
 

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So they don't just accept 
everything and and it's a good 


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community. 
So that's probably on the 
 

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European angle. 
There is another one which is a 

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 little bit more now and again, 
yeah, FKFS is still more 
 

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experimental and CFD, whereas 
CAE is broader. 
 

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You can go to AeroVEHICLES. 
This is a CFD 1. 
 

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I think that's also every two 
years that is experimental in 
 

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CFD. 
It swaps around locations. 
 

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That's not a bad one to go to. 
Now I'm going to plug my own 
 

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workshop that I set up with Gary
Page and now has got a great 
 

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list of people and that's auto 
CFD. 
 

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So the Automotive CFD Prediction
workshop, which was basically 
 

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inspired by the AIAA workshops 
that I spoke about, it's 
 

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something I created in 2018 off 
the back of seeing the AIAA and 

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 saying, hey, why isn't there 
something like this for 
 

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automotive? 
You know, we're always doing 
 

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these benchmarks, doing the CFD 
stuff, but we don't have a place

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 to go. 
And so I pitched it for a little

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 bit to get it done. 
I was at Oxford at the time, so 

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 we hosted at Oxford. 
Gary Page at Loughborough, we 

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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 of 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, 

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but 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 

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

220
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So what I mean by that is you've

 got things like ETMM, 

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Engineering Turbulence Modelling
and Measurements is a, oh, I'm 

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00:13:17,716 --> 00:13:19,600
sorry, embarrassing here. 
 
I know the acronyms. 

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00:13:19,880 --> 00:13:22,600
That's more like a turbulence 
 
modelling one, often in a nice 

224
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place by the sea. 
 
And there's lots of through the 

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ERCOFTAC. 
 
So ERCOFTAC 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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00:13:33,480 --> 00:13:37,600
helping out with, which is the 

ML for fluids. 

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00:13:37,720 --> 00:13:40,280
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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00:13:44,080 --> 00:13:47,800
And that's in Amsterdam. 
 
So Richard Dwight is one of the 

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leading people there, professor 
 there at Delft. 

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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 fewer than two

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or three hundred hundred people.

 

236
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They typically have some good 
invited speakers, really focused

237
00:14:03,688 --> 00:14:06,346

 discussions. 
And considering the theme of 
 

238
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this podcast is often around ML 
and fluids or CFD. 

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00:14:09,788 --> 00:14:13,840
I would 
 definitely go because 
it's all about trying to bring 

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these two 
 communities 
together. 

241
00:14:15,360 --> 00:14:18,920
It's mainly the fluids 
 
community, but more and more the

242
00:14:18,920 --> 00:14:23,840
ML people are coming. 
 
And so workshops I think are 

243
00:14:23,840 --> 00:14:27,160
really good. 
 
Now if you are from, let's say 

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00:14:27,160 --> 00:14:31,120
the CFD domain or aerodynamics 

and you go to the AIAA and you 

245
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go to SAE and you go to some of 
 the others. 

246
00:14:33,440 --> 00:14:36,880
What you probably aren't aware 

of unless you've got into this 

247
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is the ML conferences. 
 
Now the biggest one is NeurIPS 

248
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and NeurIPS, and I found out 
 
that's how you pronounce it, not

249
00:14:47,640 --> 00:14:50,960
NeurIPS, NeurIPS. 
 
There's a reason for that. 

250
00:14:51,480 --> 00:14:54,160
That's probably the biggest, 
 
most prestigious one where 

251
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actually just having a 
 
conference paper or even a 

252
00:14:56,320 --> 00:14:59,190
poster, it's seen as a big deal.

 

253
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I've been rejected from that 
several Times Now, annoyingly, 


254
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but I have been and they have 
lots of workshops as well, like 

255
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 AI for science, AI for physics.
Really good one to go to and I 


256
00:15:14,013 --> 00:15:17,280
mean just thousands of people 
sponsored by all the tech 
 

257
00:15:17,288 --> 00:15:20,255
companies. 
If you are into machine learning

258
00:15:20,255 --> 00:15:23,166

 go, you'll be blown away by 
the attendance there. 
 

259
00:15:23,174 --> 00:15:27,547
Another one is ICLR, that's 
another sort of machine learning

260
00:15:27,547 --> 00:15:30,986

 one. 
And the other one is ICML. 
 

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00:15:30,994 --> 00:15:34,104
So between NeurIPS ICML and 
ICLR, those are the top ones. 
 

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00:15:34,112 --> 00:15:39,065
In fact, if you want to get a 
job at Meta or one of the sort 


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of tech companies, often you'll 
see or, you know, NVIDIA in our 

264
00:15:43,590 --> 00:15:47,636
 like more research labs, you'll
see people say must have ICLR or

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00:15:47,636 --> 00:15:50,600
NeurIPS papers. 
You know, it's seen as like the 

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 pinnacle from that field. 
So if you've never been to one 


267
00:15:53,225 --> 00:15:54,120
of them, highly recommend you 
go. 

268
00:15:54,120 --> 00:15:57,120
And especially the workshops, I 
 organized one with a few people

269
00:15:57,120 --> 00:16:01,040
ICLR and it was great. 
 
You get all people focused in 

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00:16:01,040 --> 00:16:05,000
this room with posters, lots of 
 young researchers as well. 

271
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And it's all around the world. 

They change location every year.

272
00:16:08,120 --> 00:16:10,040
And it's, yeah, just all around 
 the world. 

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00:16:11,880 --> 00:16:17,760
There's a few then that I would 
 say are now going down the more

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00:16:17,760 --> 00:16:23,040
like commercial route. 
 
And this is where, I don't know,

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00:16:23,040 --> 00:16:26,360
I sort of changed my mind 
 
halfway through when I was more 

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00:16:26,360 --> 00:16:28,720
of a pure academic. 
 
I would look down upon these 

277
00:16:28,720 --> 00:16:31,640
events. 
 
So these are the ones like, you 

278
00:16:31,640 --> 00:16:34,280
know, your Siemens conference or

 your Ansys conference or your 

279
00:16:34,280 --> 00:16:37,920
Dassault conference in like a 
 
vendor conference. 

280
00:16:39,160 --> 00:16:42,827
But they are quite good actually

 from a networking point of 

281
00:16:42,827 --> 00:16:47,240
view and from trying to like 
 
understand what's going on. 

282
00:16:47,240 --> 00:16:51,920
They increasingly now they do 
 
try and get some industry 

283
00:16:51,920 --> 00:16:53,520
speakers in from different 
 
companies. 

284
00:16:53,560 --> 00:16:55,080
I've given a talk a few of 
 
these. 

285
00:16:55,200 --> 00:16:57,220
They'll bring some start-ups in.

 

286
00:16:57,228 --> 00:17:02,402
They're good if you're more like
dealing from a a contracts point

287
00:17:02,402 --> 00:17:05,230

 of view or or management point
of view. 
 

288
00:17:05,238 --> 00:17:08,781
They're good from a networking 
and you get to meet a lot of the

289
00:17:08,781 --> 00:17:11,410

 key people and they could be a
good exposure for your company. 

290
00:17:11,410 --> 00:17:13,160
 
So probably not so much on the 

291
00:17:13,160 --> 00:17:17,040
academic side, but they're not 

bad if your company wants to get

292
00:17:17,040 --> 00:17:20,358
some more exposure and you're 
 
thinking from slightly more like

293
00:17:20,358 --> 00:17:24,960
a technical marketing side, the 
 bigger they often do ones now 

294
00:17:24,960 --> 00:17:26,839
all around the world. 
 
So they'll do like, you know, a 

295
00:17:26,839 --> 00:17:30,600
country Pacific version, but 
 
they they can be good. 

296
00:17:30,600 --> 00:17:34,120
And they often have like 
 
workshops to learn the software.

297
00:17:34,120 --> 00:17:36,520
So if you want to get some of 
 
your younger staff to go there 

298
00:17:36,520 --> 00:17:39,280
and like learn how to use the 
 
software, they do that. 

299
00:17:39,280 --> 00:17:43,480
So yeah, what I was initially 
 
more skeptical of those, but I 

300
00:17:43,480 --> 00:17:47,400
think that if you pick the right

 one, they actually can be not 

301
00:17:47,400 --> 00:17:50,000
too bad from a tech point of 
 
view. 

302
00:17:50,080 --> 00:17:55,440
Then you have my first exposure 
 to this was, well, actually 

303
00:17:55,440 --> 00:17:59,600
before we do that, maybe I'd go 
 something like supercomputing. 

304
00:18:00,000 --> 00:18:02,400
I always think supercomputing is

 a good conference to go to, 

305
00:18:02,480 --> 00:18:05,538
especially now with convergence 
 of AI and HPC. 

306
00:18:05,538 --> 00:18:07,055
I. 
Wouldn't if you want to 
 

307
00:18:07,063 --> 00:18:09,520
understand the technology, the 
hardware and the sort of 
 

308
00:18:09,528 --> 00:18:12,560
software level, but maybe a 
little bit closer to the 
 

309
00:18:12,568 --> 00:18:15,408
hardware side, they're great to 
go to, very good from a 
 

310
00:18:15,416 --> 00:18:18,500
networking point of view. 
You know, all the hardware 
 

311
00:18:18,508 --> 00:18:21,371
companies, all the vendors, all 
the cloud companies. 

312
00:18:21,371 --> 00:18:24,600
Increasingly now a lot of the AI
companies go to supercomputing. 

313
00:18:24,600 --> 00:18:26,280
 
It gets bigger and bigger and 

314
00:18:26,280 --> 00:18:29,440
bigger every year. 
 
That's a good one to go to, 

315
00:18:29,800 --> 00:18:32,440
especially if you're a company, 
 you're a sponsor or put a booth

316
00:18:32,440 --> 00:18:35,360
there. 
 
They have, of course, the Gordon

317
00:18:35,360 --> 00:18:37,000
Bell Prize gets announced there.

 

318
00:18:37,008 --> 00:18:40,880
So it is quite prestigious. 
There's lots of 

319
00:18:40,880 --> 00:18:43,440
birds-of-a-feather talks, 
panels, workshops. 

320
00:18:43,800 --> 00:18:46,000
So and it's, it's definitely a 

community vibe. 

321
00:18:46,000 --> 00:18:49,520
So it's a bit of a catch all. 
 
You know, it it, it's not a 

322
00:18:49,560 --> 00:18:52,720
specific discipline per SE. 
 
I guess HPC and supercomputing 

323
00:18:52,720 --> 00:18:55,880
covers lots of areas, but if you

 want to learn more about the 

324
00:18:55,880 --> 00:18:58,280
hardware, which I think is 
 
important, it's part of the 

325
00:18:58,280 --> 00:19:02,600
reason I moved to NVIDIA. 
 
I wanted to know more about the 

326
00:19:02,600 --> 00:19:05,520
the sort of coming from the 
 
bottom up where I guess if you 

327
00:19:05,520 --> 00:19:07,240
work for software company, 
 
you're sort of coming from the 

328
00:19:07,240 --> 00:19:09,920
top down. 
 
Good event to go to there is ISC

329
00:19:10,000 --> 00:19:12,911
and Supercomputing Asia that are

 the European and Asian 

330
00:19:12,911 --> 00:19:16,430
equivalents to it. 
Actually I went to the 
 

331
00:19:16,438 --> 00:19:19,568
supercomputing in Europe. 
It's a much smaller event, but 


332
00:19:19,576 --> 00:19:22,948
again, actually pretty well 
attended and had all most of the

333
00:19:22,948 --> 00:19:25,074

 major people around. 
And you know, it's good to talk 

334
00:19:25,074 --> 00:19:26,698
 to people and ask them what's 
their opinion? 
 

335
00:19:26,706 --> 00:19:29,667
What how are things moving? 
OK. 
 

336
00:19:29,675 --> 00:19:33,306
And what I would mean to say is 
the tech companies, the my first

337
00:19:33,306 --> 00:19:37,280

 exposure to this was re:Invent
when I was at AWS and I was 
 

338
00:19:37,288 --> 00:19:40,104
blown away by the size of this 
event in Las Vegas. 
 

339
00:19:40,112 --> 00:19:44,122
They book out all these hotels 
and along the strip and there 
 

340
00:19:44,130 --> 00:19:47,588
must be 10s of thousands of 
people there, just massive. 
 

341
00:19:47,596 --> 00:19:53,020
And I must admit it was really 
good because they had so many 
 

342
00:19:53,028 --> 00:19:56,810
workshops and in person events 
where you could go and learn the

343
00:19:56,810 --> 00:19:59,660

 software. 
They had, you know, amazing 
 

344
00:19:59,668 --> 00:20:03,267
keynotes top, you know, figures 
from biggest companies in the 
 

345
00:20:03,275 --> 00:20:06,242
world. 
And and yeah, from a networking 

346
00:20:06,242 --> 00:20:09,190
 point of view, from a learning 
point of view, you could do 
 

347
00:20:09,198 --> 00:20:12,472
certifications there. 
And then I saw, you know, 
 

348
00:20:12,480 --> 00:20:15,020
Microsoft, I've never actually 
been, but Microsoft do 
 

349
00:20:15,028 --> 00:20:18,409
something, Google do something. 
And you can't help but come away

350
00:20:18,409 --> 00:20:20,960

 from these events feeling 
like, wow, I have just 

351
00:20:20,960 --> 00:20:24,000
understood a 
 different part of
the tech world. 

352
00:20:24,480 --> 00:20:27,760
And yeah, I guess going full 
 
circle, I just came back from 

353
00:20:27,760 --> 00:20:32,880
NVIDIA's one of these GTC. 
 
And, you know, even if I wasn't 

354
00:20:32,920 --> 00:20:36,800
working for NVIDIA and when I 
 
asked people who have come to 

355
00:20:36,800 --> 00:20:39,360
and asked their opinion of it, 

you know, they were all blown 

356
00:20:39,360 --> 00:20:42,760
away and were like, this has 
 
helped me so much to understand 

357
00:20:42,760 --> 00:20:45,360
the, the tech landscape. 
 
I, I sort of understand what's 

358
00:20:45,360 --> 00:20:49,000
going on more now, of course you

 come in there to learn about 

359
00:20:49,000 --> 00:20:53,000
that particular company's 
 
technology, but you know, even 

360
00:20:53,000 --> 00:20:55,200
if you just watch one of these 

keynotes like like Jensen's 

361
00:20:55,200 --> 00:20:58,680
keynote, it, it does sort of 
 
open your eyes. 

362
00:20:58,680 --> 00:21:01,360
And, and that's certainly how I 
 felt even before I joined. 

363
00:21:01,720 --> 00:21:06,920
So I think these events, these 

industry company events, whilst 

364
00:21:06,920 --> 00:21:09,120
you could be cynical and say, 
 
oh, they're just like marketing 

365
00:21:09,120 --> 00:21:12,760
events actually, especially for 
 the tech companies that, you 

366
00:21:12,760 --> 00:21:15,800
know, got so big and have some 

influence on the world, They 

367
00:21:15,800 --> 00:21:20,000
actually, they do give you a lot

 of insight and it can inspire 

368
00:21:20,000 --> 00:21:22,280
you. 
 
And yeah, whether you're a 

369
00:21:22,280 --> 00:21:25,520
student trying to get a job, go 
there, network, you can speak to

370
00:21:25,520 --> 00:21:27,200
people. 
 
A lot of people come up to me, 

371
00:21:27,640 --> 00:21:31,440
you know, who wanted to get some

 advice on their career or want

372
00:21:31,440 --> 00:21:32,800
to know how to make the first 
 
steps. 

373
00:21:33,120 --> 00:21:34,800
You know, you can go and speak 

to these people, you can get 

374
00:21:34,800 --> 00:21:37,440
advice. 
 
If you e-mail people, are they 

375
00:21:37,440 --> 00:21:39,080
going to reply? 
 
If you send them a message on 

376
00:21:39,080 --> 00:21:42,480
LinkedIn, you know, it's hard. 

Whereas if you go to an event, 

377
00:21:42,480 --> 00:21:46,720
you can go up to them in person 
 and, and get it so, and often 

378
00:21:46,720 --> 00:21:48,520
for students, there's discounts,

 etcetera. 

379
00:21:48,520 --> 00:21:52,880
So I, I would, I think I should 
 have gone to more of those 

380
00:21:52,880 --> 00:21:55,000
events when I was younger. 
 
Actually, I don't think I did 

381
00:21:55,000 --> 00:21:58,160
enough of those. 
 
And I would, I would definitely 

382
00:21:58,160 --> 00:22:02,160
encourage it. 
 
So that was, yeah, I probably 

383
00:22:02,160 --> 00:22:07,160
missed out so many events and 
 
things that I'm probably going 

384
00:22:07,160 --> 00:22:10,231
to regret after I posted 
 this.
But at least I've given you a 
 

385
00:22:10,239 --> 00:22:13,457
bit of a flavour. 
Maybe I'll come back to this and

386
00:22:13,457 --> 00:22:16,712

 talk about others when I've 
had more time to think about it,

387
00:22:16,712 --> 00:22:19,608
but 
 as I said, I'll keep this 
one sweet and short. 
 

388
00:22:19,616 --> 00:22:22,880
And yeah, hope it was useful for
you.

