Advanced Dual-Input Artificial Optical Synapse for Recognition and Generative Neural Network
Nano Energy,
Год журнала:
2024,
Номер
132, С. 110347 - 110347
Опубликована: Окт. 9, 2024
Язык: Английский
Mechano‐Driven Neuromimetic Logic Gates Established by Geometrically Asymmetric Hydrogel Iontronics
Small,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 6, 2025
The
human
brain's
neural
network
demonstrates
exceptional
efficiency
in
information
processing
and
recognition,
driving
advancements
neuromimetic
devices
that
emulate
neuronal
functions
such
as
signal
integration
parallel
transmission.
A
key
challenge
remains
replicating
these
while
minimizing
energy
consumption.
Here,
inspired
by
axonal
bidirectional
transmission,
mechano-driven
hydrogel
logic
gates
leveraging
the
piezoionic
effect
is
presented,
offering
a
novel
bionic
approach
with
significantly
reduced
power
By
exerting
external
force
on
thick
thin
sides
of
geometrically
asymmetric
hydrogel,
spike
signals
differing
amplitudes
opposite
polarities
can
be
generated,
corresponding
to
'1'
'0',
respectively.
differential
mobility
anions
cations
plays
crucial
role
effect.
This
geometric
asymmetry
amplifies
ion
convection,
improving
force-to-electricity
conversion
efficiency,
inclusion
salts
varying
size
further
enhance
this
disparity,
even
reversing
direction.
Arranging
iontronics
series-parallel
configurations
enables
emulation
complex
operations,
facilitating
ionic
addition
subtraction.
hydrogel-based
control
has
been
directly
applied
human-machine
interaction
robot
arms
offers
significant
potential
for
advancement
artificial
intelligence,
robotics,
wearable
technologies.
Язык: Английский
Human skin-inspired neuromorphic sensors
Soft Science,
Год журнала:
2025,
Номер
5(2)
Опубликована: Март 21, 2025
Human
skin-inspired
neuromorphic
sensors
have
shown
great
potential
in
revolutionizing
machines
to
perceive
and
interact
with
environments.
skin
is
a
remarkable
organ,
capable
of
detecting
wide
variety
stimuli
high
sensitivity
adaptability.
To
emulate
these
complex
functions,
been
engineered
flexible
or
stretchable
materials
sense
pressure,
temperature,
texture,
other
physical
chemical
factors.
When
integrated
computing
systems,
which
the
brain’s
ability
process
sensory
information
efficiently,
can
further
enable
real-time,
context-aware
responses.
This
study
summarizes
state-of-the-art
research
on
principles
computing,
exploring
their
synergetic
create
intelligent
adaptive
systems
for
robotics,
healthcare,
wearable
technology.
Additionally,
we
discuss
challenges
material/device
development,
system
integration,
computational
frameworks
human
sensors,
highlight
promising
directions
future
research.
Язык: Английский
Soft Materials and Devices Enabling Sensorimotor Functions in Soft Robots
Chemical Reviews,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 31, 2025
Sensorimotor
functions,
the
seamless
integration
of
sensing,
decision-making,
and
actuation,
are
fundamental
for
robots
to
interact
with
their
environments.
Inspired
by
biological
systems,
incorporation
soft
materials
devices
into
robotics
holds
significant
promise
enhancing
these
functions.
However,
current
systems
often
lack
autonomy
intelligence
observed
in
nature
due
limited
sensorimotor
integration,
particularly
flexible
sensing
actuation.
As
field
progresses
toward
soft,
flexible,
stretchable
materials,
developing
such
becomes
increasingly
critical
advanced
robotics.
Despite
rapid
advancements
individually
devices,
combined
applications
enable
capabilities
emerging.
This
review
addresses
this
emerging
providing
a
comprehensive
overview
that
functions
robots.
We
delve
latest
development
technologies,
actuation
mechanism,
structural
designs,
fabrication
techniques.
Additionally,
we
explore
strategies
control,
artificial
(AI),
practical
application
across
various
domains
as
healthcare,
augmented
virtual
reality,
exploration.
By
drawing
parallels
aims
guide
future
research
robots,
ultimately
adaptability
unstructured
Язык: Английский
Sustainable AI Hardware for Advanced Healthcare Diagnostics
N. Bharath,
Poonam Tiwari,
D. Lakshmi
и другие.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 267 - 310
Опубликована: Март 21, 2025
This
paper
focuses
on
making
Artificial
Intelligence
(AI)
sustainable,
and
particularly
in
the
context
of
healthcare
diagnostics.
As
AI
revolutionizes
with
innovations
predictive
analytics,
medical
imaging,
personalized
treatment,
rising
energy
demands
these
technologies
emphasize
need
for
sustainable
hardware
solutions.
We
explore
evolution
hardware,
from
early
developments
to
modern,
energy-efficient
systems
such
as
low-power
chips
Neural
Processing
Units
(NPUs),
which
enables
real-time,
on-device
data
analysis.
A
major
portion
neuromorphic
computing,
an
upcoming
field
inspired
by
brain's
neural
architecture.
By
leveraging
Spiking
Networks
(SNNs),
event-driven
processing,
synaptic
plasticity,
attain
considerable
efficiency,
them
well
suited
real-time
applications
like
wearable
monitors
smart
implants.
The
also
delves
into
role
cloud
platforms
parallelism
minimizing
carbon
footprint
technologies.
Язык: Английский