Journal of Semiconductors,
Journal Year:
2025,
Volume and Issue:
46(1), P. 011610 - 011610
Published: Jan. 1, 2025
Abstract
Multimodal
sensor
fusion
can
make
full
use
of
the
advantages
various
sensors,
up
for
shortcomings
a
single
sensor,
achieve
information
verification
or
security
through
redundancy,
and
improve
reliability
safety
system.
Artificial
intelligence
(AI),
referring
to
simulation
human
in
machines
that
are
programmed
think
learn
like
humans,
represents
pivotal
frontier
modern
scientific
research.
With
continuous
development
promotion
AI
technology
Sensor
4.0
age,
multimodal
is
becoming
more
intelligent
automated,
expected
go
further
future.
this
context,
review
article
takes
comprehensive
look
at
recent
progress
on
AI-enhanced
sensors
their
integrated
devices
systems.
Based
concept
principle
technologies
algorithms,
theoretical
underpinnings,
technological
breakthroughs,
pragmatic
applications
fields
such
as
robotics,
healthcare,
environmental
monitoring
highlighted.
Through
comparative
study
dual/tri-modal
with
without
using
(especially
machine
learning
deep
learning),
highlight
potential
performance,
data
processing,
decision-making
capabilities.
Furthermore,
analyzes
challenges
opportunities
afforded
by
offers
prospective
outlook
forthcoming
advancements.
Chemical Reviews,
Journal Year:
2024,
Volume and Issue:
124(17), P. 9899 - 9948
Published: Aug. 28, 2024
Electronic
skins
(e-skins)
have
seen
intense
research
and
rapid
development
in
the
past
two
decades.
To
mimic
capabilities
of
human
skin,
a
multitude
flexible/stretchable
sensors
that
detect
physiological
environmental
signals
been
designed
integrated
into
functional
systems.
Recently,
researchers
increasingly
deployed
machine
learning
other
artificial
intelligence
(AI)
technologies
to
neural
system
for
processing
analysis
sensory
data
collected
by
e-skins.
Integrating
AI
has
potential
enable
advanced
applications
robotics,
healthcare,
human–machine
interfaces
but
also
presents
challenges
such
as
diversity
model
robustness.
In
this
review,
we
first
summarize
functions
features
e-skins,
followed
feature
extraction
different
models.
Next,
discuss
utilization
design
e-skin
address
key
topic
implementation
e-skins
accomplish
range
tasks.
Subsequently,
explore
hardware-layer
in-skin
before
concluding
with
an
opportunities
various
aspects
AI-enabled
Nano-Micro Letters,
Journal Year:
2024,
Volume and Issue:
17(1)
Published: Nov. 4, 2024
Abstract
Gas
sensor
is
an
indispensable
part
of
modern
society
with
wide
applications
in
environmental
monitoring,
healthcare,
food
industry,
public
safety,
etc.
With
the
development
technology,
wireless
communication,
smart
monitoring
terminal,
cloud
storage/computing
and
artificial
intelligence,
gas
sensors
represent
future
sensing
due
to
their
merits
real-time
multifunctional
early
warning
function,
intelligent
automated
feature.
Various
electronic
optoelectronic
have
been
developed
for
high-performance
analysis.
terminals
maturity
integrated
flexible
wearable
play
increasing
role
This
review
highlights
recent
advances
diverse
applications.
The
structural
components
fundamental
principles
are
described,
devices
highlighted.
Moreover,
array
intelligence
algorithms
“Internet
Things”
paradigm
introduced.
Finally,
challenges
perspectives
discussed
regarding
need
city
healthy
living.
Advanced Functional Materials,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 19, 2025
Abstract
With
the
rapid
advancement
of
2D
material‐based
optoelectronic
devices,
significant
progress
is
made
in
development
all‐optical
logic
synaptic
biomimetic
and
multidimensional
detection
systems.
As
entering
to
high‐speed
information
era,
there
an
urgent
demand
for
complex,
compact,
multifunctional,
low‐energy,
intelligent
sensing
chips.
Examining
evolution
current
technologies
reveals
a
parallel
bipolar
response
mechanisms‐from
simple
positive
negative
responses
more
intricate
inhibition‐promotion
dynamics
with
persistent
characteristics.
This
significantly
broadens
their
applications
devices.
Moreover,
compared
unipolar
responses,
complex
offer
greater
flexibility
adaptation
unique
one‐to‐one
mapping
high‐dimensional
parameters
such
as
polarization,
phase,
spectrum,
positioning
them
promising
candidates
breakthroughs
resolution.
In
this
review,
design
strategies
are
comprehensively
explored
various
materials,
highlighting
deep
advanced
fields.
It
aimed
review
provide
broad
overview
bi‐directional
mechanisms,
offering
inspiration
designing
next
generation
Journal of Semiconductors,
Journal Year:
2025,
Volume and Issue:
46(1), P. 011610 - 011610
Published: Jan. 1, 2025
Abstract
Multimodal
sensor
fusion
can
make
full
use
of
the
advantages
various
sensors,
up
for
shortcomings
a
single
sensor,
achieve
information
verification
or
security
through
redundancy,
and
improve
reliability
safety
system.
Artificial
intelligence
(AI),
referring
to
simulation
human
in
machines
that
are
programmed
think
learn
like
humans,
represents
pivotal
frontier
modern
scientific
research.
With
continuous
development
promotion
AI
technology
Sensor
4.0
age,
multimodal
is
becoming
more
intelligent
automated,
expected
go
further
future.
this
context,
review
article
takes
comprehensive
look
at
recent
progress
on
AI-enhanced
sensors
their
integrated
devices
systems.
Based
concept
principle
technologies
algorithms,
theoretical
underpinnings,
technological
breakthroughs,
pragmatic
applications
fields
such
as
robotics,
healthcare,
environmental
monitoring
highlighted.
Through
comparative
study
dual/tri-modal
with
without
using
(especially
machine
learning
deep
learning),
highlight
potential
performance,
data
processing,
decision-making
capabilities.
Furthermore,
analyzes
challenges
opportunities
afforded
by
offers
prospective
outlook
forthcoming
advancements.
