<p>This
article
proposes
a
new
physics-assisted
genetic
algorithm
(PAGA)
for
decoupling
capacitor
(decap)
optimization
in
power
distribution
networks
(PDNs),
which
is,
by
far,
the
most
powerful
approach
to
efficiently
minimizing
number
of
decaps
within
an
enormous
search
space.
In
proposed
PAGA
method,
priority
decap
ports
is
first
determined
based
on
their
physical
loop
inductances.
Then,
initial
solution
quickly
obtained
placing
sequentially
port
with
highest
priority.
Subsequently,
GA
prior
knowledge
developed
find
better
solutions
progressively.
A
removal
scheme
that
eliminates
low-priority
and
modified
mutation
operation
guides
direction
accelerate
convergence
GA.
The
auxiliary
schemes
can
significantly
narrow
space
incorporate
into
GA,
thus
greatly
accelerating
process.
Several
representative
state-of-the-art
algorithms
commercial
tools
are
thoroughly
compared
different
application
scenarios.
shows
remarkably
performance
finding
high-quality
exhibits
strong
robustness
handle
real-world
large-scale
problems,
brings
benchmark.</p>
The
advancements
in
generative
AI
inevitably
raise
concerns
about
their
risks
and
safety
implications,
which,
return,
catalyzes
significant
progress
safety.
However,
as
this
field
continues
to
evolve,
a
critical
question
arises:
are
our
current
efforts
on
aligned
with
the
of
well
long-term
goal
human
civilization?
This
paper
presents
blueprint
for
an
advanced
society
leverages
vision
guide
efforts.
It
outlines
future
where
_Internet
Everything_
becomes
reality,
creates
roadmap
technological
towards
envisioned
future.
For
each
stage
advancements,
forecasts
potential
issues
that
humanity
may
face.
By
projecting
against
blueprint,
examines
alignment
between
needs,
highlights
unique
challenges
missions
demand
increasing
attention
from
practitioners
2020s.
aims
offer
broader
perspective
safety,
emphasizing
should
not
only
address
immediate
but
also
anticipate
expanding
landscape,
thereby
promoting
safe
sustainable
civilization.
IEEE Transactions on Signal and Power Integrity,
Journal Year:
2024,
Volume and Issue:
3, P. 37 - 46
Published: Jan. 1, 2024
This
paper
introduces
a
comprehensive
approach
for
designing
and
analyzing
signal
integrity
in
heterogeneous
integrated
systems
that
incorporate
neuromorphic
Darwin
chips.
The
proposed
system
architecture
includes
chip,
digital
processing
unit,
microcontroller
field
programmable
gate
arrays,
coding
decoding
modules
to
encode
reconstruct
analog
spiking
signals.
study
evaluates
the
encoding
module
integration
structure
conducts
analysis.
To
achieve
optimal
performance,
proposes
novel
binocular
eye
diagram
analysis
technique.
innovative
guides
algorithm
modification
improves
overall
performance.
research
is
first
combine
joint
field-circuit
simulation,
modeling,
of
it
expected
serve
as
valuable
reference
future
studies
on
similar
systems.
IEEE Transactions on Microwave Theory and Techniques,
Journal Year:
2024,
Volume and Issue:
72(8), P. 4498 - 4507
Published: Jan. 31, 2024
This
article
proposes
a
new
physics-assisted
genetic
algorithm
(PAGA)
for
decoupling
capacitor
(decap)
optimization
in
power
distribution
networks
(PDNs),
which
is
highly
efficient
approach
to
minimizing
the
number
of
decaps
within
an
enormous
search
space.
In
proposed
PAGA
method,
priority
decap
ports
first
determined
based
on
their
physical
loop
inductances.
Then,
initial
solution
quickly
obtained
by
placing
sequentially
port
with
highest
priority.
Subsequently,
GA
prior
knowledge
developed
find
better
solutions
progressively.
A
removal
scheme
that
eliminates
low-priority
and
modified
mutation
operation
guides
direction
are
accelerate
convergence
GA.
The
auxiliary
schemes
can
significantly
narrow
space
incorporate
into
GA,
thus
greatly
accelerating
process.
Several
representative
state-of-the-art
algorithms
commercial
tools
thoroughly
compared
different
application
scenarios.
demonstrates
performance
efficiently
finding
high-quality
exhibits
strong
robustness
handle
real-world
large-scale
problems,
brings
benchmark.
Neuromorphic
chips
constructed
by
memristor
crossbar
array
have
been
introduced
to
realize
in-memory
computation.
The
simulations
are
usually
conducted
full-wave
simulation
or
SPICE-like
simulations,
which
can
still
be
time-consuming
for
large-scale
examples.
This
work
proposed
a
new
method
based
on
the
Latency
Insertion
Method
(LIM)
that
orders
of
magnitude
faster
than
commercial
software
simulations.
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
In
this
paper,
we
first
establish
a
model
of
ultra-large-scale
integrated
circuits
and
study
the
architecture
from
basic
circuit
units
to
complex
units.
Then,
optimization
problem
is
mathematically
analyzed,
unconstrained
constrained
parametric
problems
with
electrical
parameters
are
investigated.
Reinforcement
learning
introduced
reasonably
one-to-one
correspondence
between
environment
in
reinforcement
learning,
which
transforms
ordinary
into
task
realizes
design.
Finally,
effect
optimizing
method
paper
evaluated.
case
200
DPPM,
300
400
number
censored
test
paper’s
distributed
range
(10,15),
while
other
methods
interval
(2,10),
outperforms
methods.
This
has
an
important
reference
value
improve
efficiency,
reliability,
performance
design,
can
provide
for
design
circuits.
Advances in computational intelligence and robotics book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 79 - 98
Published: Oct. 4, 2024
The
most
significant
change
in
the
discipline
of
artificial
intelligence
is
represented
via
Neuromorphic
computing
(NC),
which
draws
inspiration
from
complex
functioning
an
individual's
brain.
goal
NC
to
mimic
architecture
and
operation
brain
humans,
processes
information
through
parallel
processing
trillions
linked
neurons.
In
contrast
traditional
computers,
operate
on
a
sequential
paradigm,
devices
make
excellent
use
parallelism
accomplish
operations.
This
chapter
presents
overview
NC,
its
key
principles,
architecture,
applications,
it
also
covers
challenges
future
directions.
Electronics Letters,
Journal Year:
2024,
Volume and Issue:
60(2)
Published: Jan. 1, 2024
Abstract
This
article
presents
an
efficient
S
‐parameter
extraction
method
for
memristor‐based
crossbar
array
circuits.
The
proposed
approach
involves
converting
the
into
equivalent
circuit
and
analytically
solving
to
obtain
‐parameters.
Memristor‐based
simulations
corresponding
experimental
measurements
are
conducted
verify
high
accuracy
low
computation
complexity
of
established
method.
These
numerical
results
indicate
that
authors’
has
potential
evaluating
signal
integrity
performance
in
neuromorphic
chips,
thus
aiding
their
design
optimization
diverse
applications.
