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Description
wasmCloud is a platform for writing portable business logic that can run anywhere from the edge to the cloud, that boasts a secure-by-default, boilerplate-free developer experience with rapid feedback loop.
https://wasmcloud.com
A
B
C
B
B
And
then
we
have
a
lot
of
other
things
going
on,
at
the
same
time,
of
course,
very
obvious
that
the
ninjas
they're
taken
from
miximo
and
the
animations
of
of
the
mannequins
as
well.
Then
in
the
here.
In
the
background,
you
have
a
spectrum
analyzer
of
the
the
audio
being
played,
and
that
is
run
using
the
web
audio
api
in
the
browser
and
then
the
3d
rendering
itself
is
done
with
webgl.
B
A
B
A
B
A
B
A
That
is
phenomenal
and
thank
you
again
for
sharing
that
with
us.
I'm
gonna
go
ahead
and
move
on
to
a
second
quick
talk
through
about
an
update
on
the
machine
learning
framework
for
wasmcloud
that
bmw
intel
and
our
very
own
steve
have
been
working
on
steve.
Would
it
be
you
guys
just
want
steve
that
both
ways
you
can
have
them
that
way?
A
C
One
thing
kristoff
did:
is
he
added
tensorflow
support,
so
it
now
supports
tensorflow
and
onyx,
there's
a
another
popular
framework
openvino
that
will
be
added
later
and,
in
addition,
there's
some
there's
quite
a
few
image
processing
models,
including
mobilenet,
and
so
for
the
image
preprocessing
step.
It
takes
a
image
and
transforms
it
into
that
tensor
to
hand
to
the
preprocessing
step.
That's
done
by
a
wasn't
cloud
actor.
C
Another
thing
that
was
done
is
we
updated
the
interface
for
the
inference
engine
that
predict
api
and
how
we
express
tensors,
and
some
of
that
is
based
on
some
work.
We
did
with
the
with
the
wessen
end
team,
to
up
update
the
the
way
that
we
format
the
the
arrays
and
adding
a
little
bit
of
metadata,
so
that
the
sender
and
receiver
can
agree
on
the
format
of
the
data.
So
that's
in
kristoff's.
A
C
A
Yeah,
it's
linked
in
the
machine
learning
channel
if
you're
on
our
slack
and
it's
also
linked
in
a
general
I
cross
posted
there.
Steve
tell
me
a
little
more.
I
think
that
there
was
a
great
discussion
around
the
idea
of
having
the
pre-processor
actors
and
what
are
the
pros
and
cons
of
that.
You
know
all
of
these
machine
learning
algorithms
that
ship
can
need
this
pre-processing
step
to
prepare
the
data.
C
Well
sure,
so
for
for
wasmcloud,
one
of
the
one
of
the
features
we
really
like
is
the
ability
to
find
a
provider
that
has
the
capabilities.
You
need
the
use
case
that
we're
thinking,
one
of
the
use
cases
we're
thinking
of
is
that
you,
you
might
want
to
have
the
data
processed
locally,
maybe
on
the
device
where
say,
you've
captured
an
image
or
maybe
on
a
lan
on
your
homeland
and
a
reason
for
doing
that
is
to
maintain
privacy.
So
you
don't
have
to
send
your
pictures
to
the
cloud.
C
Another
another
reason
we,
like
the
actor
model,
is
that
these
different,
these
different
machine
learning
models
all
require
data
in
a
different
format.
So
for
images
some
expect
an
rgb
format.
Some
expect
a
bgr
format.
Some
expect
the
color
data
to
be
a
color
space
from
a
number
from
zero
to
one.
Some
expect
it
to
be
in
a
range
minus
one
to
plus
one
and
that
can
vary
depending
on
whether
you're,
using
mobile
or
imagenet,
or
the
different
image
processing
models.
C
If,
if
we
want
to,
we
have
a
model
we
like,
but
maybe
the
machine
learning
team
has
come
up
with
another
one
they
think
is
better.
Then
we
could
direct
five
percent
of
the
traffic
to
the
new
one
and
then
test
the
relative
performance
of
those
two
processing
models.
And
if
we
like
it,
then
we
can
increase
performance.
So
this
sort
of
classic
a
b
testing.
C
C
C
Some
of
the
things
we
want
to
do
is
really
to
build
out
some
realistic
demos
that
use
these
pipelines
so
that
we
know
we're
not
just
developing
an
abstract
api
for
the
sake
of
an
api,
but
that
we
know
it's
an
api
that
works
for
some
real
world
applications,
so
we'll
be
building
some
of
those
there's
a
few
kinds
of
problem.
Domains
that
are
interesting
anomaly
detection
is
one
image.
Recognition
is
another
and
then
also
testing
testing,
some
of
the
wasmcloud
failover
capabilities.
C
A
A
Okay,
I'll
go
ahead
and
move
on
to
the
next
announcements.
Thank
you.
So
much
for
the
update,
steve
the
invites
and
schedule
for
wazen
day
eu
in
valencia,
spain
have
been
announced
I'll
drop,
a
link
in
channel
it's
going
to
be
a
phenomenal
day
of
content,
we're
going
to
start
with
a
a
keynote
from
bailey
hayes.
A
A
We've
got
an
overview
from
divya
about
the
binary
magic
of
quasm,
the
second
state
folks,
michael
a
frequent
contributor
and
speaker
talking
about
javascript
python
and
ruby
in
webassembly,
a
presentation
from
jeff
your
colleague
over
at
shopify.
Then
then
a
lightning
talk
about
a
wasm
cloud
and
bevy
ecs,
and
this
is
one
I'm
super
interested
in
allen's
been
building.
You
know
games
and
gaming
platforms
for
a
while
now
using
wasmcloud,
and
I'm
really
curious
to
hear
his
presentation
and
dive
in
a
bit
further.
A
They've
integrated
webassembly
into
their
streaming
platform,
so
think
if
kafka
had
the
ability
to
do
in-line
transforms
on
data
and
things
like
that,
a
great
use
case
and
then
a
colin
murphy
from
adobe
we'll
be
talking
about
some
of
the
things
that
adobe
is
doing
on
web
assembly.
I'm
excited
about
this
one.
They
plan
to
talk
a
little
bit
about
what
they've
been
doing
with
laws
and
cloud
as
well,
and
then
matt
butcher,
radu
and
radu
are
going
to
talk
about
building
a
cms.
A
So
I
hope
that
I
can
meet
many
of
you
there
or
see
many
of
you
there
this
year
and
if
you
can't
all
online
tickets
to
kubecon
this
year
include
full
access
to
all
of
the
days.
So
there's
no
more
day
only
tickets
and
you'll
have
the
ability
to
sort
of
stream
all
of
the
wasom
day.
Programming
live.
If
you
can't
make
it.