Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 411 - 428
Опубликована: Окт. 4, 2024
The
exponential
growth
of
data
and
information
has
stimulated
technological
progress
in
computing
systems
that
utilize
them
to
effectively
discover
patterns
produce
important
insights.
Neural
network
algorithms
have
been
applied
conventional
silicon
transistor-based
hardware
do
highly
parallel
computations,
drawing
inspiration
from
the
structure
functions
biological
synapses
neurons
brain.
Nevertheless,
composed
many
transistors
are
limited
storing
binary
data,
utilization
intricate
neuron
circuits
handle
these
digital
states
poses
challenges
achieving
low-power
low-latency
computing.
This
study
examines
significance
developing
memories
switches
for
synaptic
neural
components
building
Neuromorphic
can
efficiently
conduct
cognitive
tasks
recognition.
chapter
closely
rates
latest
computing,
focusing
on
how
changes
impact
edge
Internet
Things
technologies.
It
is
also
being
thought
about
use
tiny
short-term
memory
copy
action
neurons.
Once
this
done,
more
Studies
areas
should
be
able
focus
design,
circuitry,
devices
systems.
Photonics,
Год журнала:
2025,
Номер
12(1), С. 39 - 39
Опубликована: Янв. 4, 2025
The
demand
for
high-capacity
communication
systems
has
grown
exponentially
in
recent
decades,
constituting
a
technological
field
constant
change.
Data
transmission
at
high
rates,
reaching
tens
of
Gb/s,
and
over
distances
that
can
reach
hundreds
kilometers,
still
faces
barriers
to
improvement,
such
as
distortions
the
transmitted
signals.
Such
include
chromatic
dispersion,
which
causes
broadening
pulse.
Therefore,
development
solutions
adequate
recovery
signals
distorted
by
complex
dynamics
channel
currently
constitutes
an
open
problem
since,
despite
existence
well-known
efficient
equalization
techniques,
these
have
limitations
terms
processing
time,
hardware
complexity,
especially
energy
consumption.
In
this
scenario,
paper
discusses
emergence
photonic
neural
networks
promising
alternative
equalizing
optical
Thus,
review
focuses
on
applications,
challenges,
opportunities
implementing
integrated
scenario
signal
equalization.
main
work
carried
out,
ongoing
investigations,
possibilities
new
research
directions
are
also
addressed.
From
review,
it
be
concluded
perceptron
perform
slightly
better
greater
than
reservoir
computing
networks,
but
with
lower
data
rates.
It
is
important
emphasize
photonics
been
growing
years,
so
beyond
scope
address
all
existing
applications
networks.
Applied Physics Reviews,
Год журнала:
2025,
Номер
12(2)
Опубликована: Апрель 21, 2025
Human
brain
is
capable
of
optimizing
information
flow
and
processing
without
energy-intensive
data
shuttling
between
processor
memory.
At
the
core
this
unique
capability
are
billions
neurons
connected
through
trillions
synapses—basic
units
brain.
The
action
potentials
or
“spikes”
based
temporal
using
regulated
ions
across
ion
channels
in
neuron
cells
allows
sparse
efficient
transmission
Emerging
systems
on
confined
fluidic
have
provided
a
framework
for
new
type
neuromorphic
computing
with
lower
energy
consumption,
hardware-level
plasticity,
multiple
carriers
that
emulate
natural
processes
mechanisms
human
These
mimic
neuronal
architectures
by
harnessing
modulating
transport
along
artificial
channels.
spikes-induced
ion-to-surface
interactions
within
these
enables
control
ionic
conductivity
to
achieve
synaptic
plasticity
realization
brain-inspired
functionalities
such
as
memory
effect
signal
transmission.
Herein,
review
provides
an
overview
recent
advances
devices
memristors
other
components,
covering
their
basic
operations,
materials
architectures,
well
applications
computing.
concludes
brief
outline
challenges
emerging
technologies
face
outlook
development
fluidic-based
Advanced Materials,
Год журнала:
2025,
Номер
37(2)
Опубликована: Янв. 1, 2025
This
special
issue
spans
a
diverse
array
of
topics,
including
nanomedicine,
tissue
engineering,
regenerative
medicine,
organs-on-chips,
biosensing,
soft
robotics,
smart
devices,
nanofabrication,
energy
saving
and
storage,
catalysis,
spintronics,
electronics,
neuromorphic
computing.
It
showcases
the
breadth
depth
advanced
materials
research
at
Chinese
University
Hong
Kong
(CUHK),
highlighting
innovation,
collaboration,
excellence
CUHK's
scientists.
physica status solidi (a),
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 9, 2025
Binary
metal
oxide
memristive
synapses,
with
their
simple
structure,
high
integration
density,
low
power,
and
speed,
are
promising
for
aerospace
computing
chips.
However,
irradiation
can
degrade
performance.
This
article
investigates
the
effect
of
60
Co
γ‐ray
radiation
on
synaptic
properties
HfO
x
:Mg(9%),
a
particular
focus
changes
in
linearity
conductance
updating.
is
achieved
by
introducing
electrochemical
impedance
spectroscopy
(EIS)
to
analyze
variations
oxygen‐deficient
conductive
filaments.
Results
show
that
increasing
dose
(0–1
Mrad(Si))
decreases
high‐resistance
state
current
during
long‐term
depression,
reducing
linearity.
X‐ray
photoelectron
reveals
increased
oxygen
vacancies
postirradiation,
while
EIS
indicates
these
hinder
filament
rupture,
causing
damage.
research
enhances
understanding
effects
supports
development
radiation‐resistant
synapses.
Advanced Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 9, 2025
Abstract
Inspired
by
biological
systems,
neuromorphic
computing
can
process
extensive
data
and
complex
tasks
more
efficiently
than
traditional
architectures.
Artificial
synaptic
devices,
serving
as
fundamental
components
in
computing,
needto
closely
mimic
characteristics
construct
neural
network
systems.
However,
most
existing
multifunctional
synapse
devices
are
structurally
lack
tunability,
making
them
unsuitable
for
building
smarter
In
this
work,
a
flexible
tunable‐plasticity
transistor
(TST)
is
realized
with
memory
modulation
capabilities
using
indium
gallium
zinc
oxide
channel
hybrid
layer
of
polyimide
Al
2
O
3
dielectric.
The
TST
exhibits
novel
transition
from
short‐term
plasticity
to
long‐term
one
adjusting
stimulus
amplitude,
mirroring
dynamic
human
forgetting
behaviors
across
various
scenarios.
A
system
low
non‐linearity
wide
range
conductance
variations
constructed,
it
demonstrates
94.1%
recognition
rate
on
classical
datasets.
reservoir
4‐bit
coding
also
developed,
which
significantly
reduces
computational
complexity
size
without
sacrificing
accuracy.
the
work
foundation
intelligent
efficient
Big Data and Cognitive Computing,
Год журнала:
2025,
Номер
9(4), С. 104 - 104
Опубликована: Апрель 17, 2025
The
development
of
cybernetic
organisms—autonomous
systems
capable
self-regulation
and
dynamic
environmental
interaction—requires
innovations
in
both
energy
efficiency
computational
adaptability.
This
study
explores
the
integration
bio-inspired
liquid
flow
batteries
neuromorphic
computing
architectures
to
enable
real-time
learning
power
optimization
autonomous
robotic
systems.
Liquid-based
storage
systems,
modeled
after
vascular
networks,
offer
distributed
management,
reducing
bottlenecks
improving
resilience
long-duration
operations.
Complementing
this,
architectures,
including
memristor-based
processors
spiking
neural
networks
(SNNs),
enhance
while
minimizing
consumption.
By
integrating
these
adaptive
robots
can
dynamically
allocate
processing
resources
based
on
demands,
bridging
gap
between
biological
artificial
intelligence.
evaluates
feasibility
technologies
into
platforms,
assessing
capacity,
operational
scalability.
While
show
promise
latency
constraints,
challenges
remain
electrolyte
stability,
framework
standardization,
real-world
implementation.
Future
research
must
focus
hybrid
self-regulating
distribution,
material
optimizations
adaptability
organisms.
addressing
challenges,
this
outlines
a
roadmap
for
reimagining
robotics
through
principles,
paving
way
applications
healthcare,
industrial
automation,
space
exploration,
environments.
Advanced Electronic Materials,
Год журнала:
2025,
Номер
unknown
Опубликована: Май 5, 2025
Abstract
Optoelectronic
modulated
transistors
based
on
organic–inorganic
halide
perovskites
can
perceive
and
parse
visual
information,
making
them
appealing
for
neuromorphic
computing
or
future
vision
automation
owing
to
their
abundant
tunable
optoelectronic
properties,
high
quantum
efficiency,
large
specific
surface
area.
Herein,
quasi‐2D
(ThMA)
2
(MA)
n‐1
Pb
n
I
3n+1
(
=
4)
transistor
exhibits
n/p‐type
ambipolar
transport
characteristics.
The
remarkable
hysteresis
behavior
observed
in
the
transfer
characteristics
be
by
external
voltages
illumination.
maximum
charge
mobility
under
light
illumination
with
hole
µ
h
)
of
≈1.5
×
10
−4
cm
V
−1
s
(≈167
times
higher
than
that
dark
condition),
threshold
voltage
th
2.1
V,
subthreshold
swing
SS
3.4
decade
p‐channel
mode,
electron
e
≈1.9
,
3.1
1.7
n‐channel
respectively.
effects
potentiation
depression
properties
proposed
device
are
discussed.
Chinese
handwritten
characters
from
Institute
Automation
Academy
Sciences
used
simulate
image
recognition
properties.
perovskite
offers
a
new
platform
development
systems
bionic
vision.
