Large Language Models for UAVs: Current State and Pathways to the Future
IEEE Open Journal of Vehicular Technology,
Год журнала:
2024,
Номер
5, С. 1166 - 1192
Опубликована: Янв. 1, 2024
Язык: Английский
Artificial Intelligence (AI) and the Future of Marketing Trends
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 23 - 46
Опубликована: Фев. 28, 2025
AI
in
customer
engagement
chatbots
and
voice
assistants
are
AI-driven
tools
that
improve
give
businesses
the
ability
to
provide
individualized
experiences
by
conducting
sentiment
analysis.
Nonetheless,
issues
like
data
privacy
concerns,
algorithmic
bias,
ethical
challenges
remain,
which
still
need
proper
regulations
drafting
more
transparency.
Even
with
these
challenges,
has
vast
potential,
including
sustainable
marketing,
omni-channel
strategies,
AI-generated
content.
The
future
of
marketing
powered
lies
around
integrating
technology
emotional
intelligence
thereby
making
strategy
centric
towards
consumer
leading
a
trust
factor
driving
brand
loyalty.
Businesses
adopting
AI-powered
solutions
will
rise
above
all
competition
growing
digital
world.
Tackling
head-on
be
critical
unleashing
AI's
full
potential
for
transformation.
Язык: Английский
Narrative Machines
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 81 - 110
Опубликована: Март 26, 2025
This
chapter
examines
how
artificial
intelligence
(AI)
has
changed
society
and
its
future.
It
shows
AI
may
boost
creativity
but
can
pose
problems.
The
stresses
expanding
understanding
engaging
various
communities
to
reduce
risks
maximize
benefits.
covers
the
history
of
AI,
from
Turing's
early
work
modern
machine
learning,
explores
automation's
role
in
society.
emphasizes
necessity
for
international
regulation
cooperation,
portraying
UNCITRAL
as
a
key
stimulating
dialogue
establishing
global
law
policy.
sets
stage
exploring
AI's
revolutionary
potential
creative
fields
by
explaining
narrative.
Язык: Английский
Hybrid NLP model for automating fashion product descriptions: integrating transformers and word embeddings
Performance Measurement and Metrics,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 14, 2025
Purpose
This
study
aims
to
address
the
challenge
of
generating
accurate
and
engaging
product
descriptions
for
e-commerce
platforms,
particularly
in
fashion
domain.
It
seeks
alleviate
labor-intensive
time-consuming
process
manual
description
writing
by
leveraging
advanced
natural
language
processing
(NLP)
techniques.
Design/methodology/approach
The
proposed
solution
integrates
GPT-Neo,
a
transformer
model,
with
word-embedding
model
word2vec
automate
generation.
A
dataset
comprising
14,000
titles
was
sourced
from
Noon,
prominent
Arabic
platform,
used
fine-tune
models
specific
categories.
Findings
results
demonstrate
that
developed
system
effectively
generates
based
on
titles,
achieving
recall
rate
67%
precision
72%.
These
findings
validate
system’s
potential
reduce
effort
while
maintaining
quality.
Originality/value
research
offers
novel
approach
automating
generation
platforms.
combines
state-of-the-art
NLP
techniques
significant
bottleneck
industry,
contributing
enhanced
operational
efficiency
scalability.
study’s
outcomes
also
pave
way
further
advancements
multilingual
applications.
Язык: Английский
Leveraging Artificial Intelligence In Project-Based Service Learning To Advance Sustainable Development: A Pedagogical Approach For Marketing Education
Marketing Education Review,
Год журнала:
2024,
Номер
34(4), С. 307 - 323
Опубликована: Окт. 1, 2024
Artificial
intelligence
(AI)
has
revolutionized
various
aspects
of
teaching
and
learning
in
higher
education,
with
the
potential
to
significantly
enhance
experiences,
streamline
administrative
tasks,
foster
personalized
education.
As
use
AI
by
students
instructors
expands,
it
is
crucial
carefully
consider
both
its
benefits
risks,
as
well
adhere
ethical
guidelines
best
practices.
A
systematic
literature
review
was
conducted
investigate
application
experiential
theory
marketing
particularly
focusing
on
integration
new
technologies
tools,
such
AI,
within
project-based
service
(PBSL).
This
explores
how
these
integrations
may
positively
impact
student
outcomes,
community
partner
benefits,
contributions
toward
United
Nations'
Sustainable
Development
Goals
(SDGs).
Specifically,
classroom
advance
goals
examined
utilizing
Intelligence
for
Service
Learning
Experiential
Education
(AISLE)
model.
model
advocates
an
approach
using
educational
settings,
leveraging
theory-based
innovative
practices
achieve
positive,
measurable
outcomes
partners.
Язык: Английский
Transformative Potential and Ethical Challenges of Generative AI in E-Commerce
Advances in computational intelligence and robotics book series,
Год журнала:
2024,
Номер
unknown, С. 317 - 336
Опубликована: Сен. 18, 2024
This
chapter
depicts
how
generative
AI
can
redefine
the
e-commerce
industry
through
enhanced
personalised
experience,
dynamic
pricing,
and
operational
efficiency.
However,
also
illustrates
be
accompanied
by
problems
in
terms
of
biases
ethical
challenges.
discusses
ways
to
uncover,
tackle,
prevent
bias
systems
ensure
that
no
customers
are
discriminated
against.
The
highlights
necessity
accountability,
transparency,
robust
privacy
standards
decision-making
win
over
users
uphold
standards.
Generative
development
is
expected
become
increasingly
important
when
used
with
accountability.
In
this
way,
promote
justice,
trust,
achieve
sustainable
digital
economy
growth
as
develops.
As
grows,
AIs
fairness,
restore
confidence,
drive
development.
Язык: Английский
Application of Artificial intelligence in Logistics 4.0: DHL case study analysis
Ekonomika preduzeca,
Год журнала:
2024,
Номер
72(5-6), С. 292 - 304
Опубликована: Янв. 1, 2024
This
paper
analyzes
the
transformational
role
of
AI
in
logistics
within
context
Logistics
4.0.
Spectrum
artificial
intelligence
technologies
reinforces
both
operational
efficiencies
and
reduces
overall
cost.
The
integration
such
as
machine
learning,
predictive
analytics,
robotics
brings
a
new
revolution
to
process.
Also,
case
studies
will
be
elaborated
on
order
explain
how
leading
company,
DHL,
applies
technologies,
intelligence,
optimize
delivery
routes,
real-time
tracking,
inventory
management
while
bringing
great
improvement
customer
interaction.
It
further
discusses
number
challenges
opportunities
linked
AI,
thus
trying
present
wide
overview
its
influence
modern
future
trends.
Special
attention
is
paid
these
can
revolutionize
supply
chain
management.
Artificial
driving
innovation
setting
standards
for
efficiency
effectiveness
operations.
provides
analysis
highlighting
ways
which
make
practices
more
sustainable
international
chains
resilient
external
shocks,
therefore
cornerstone
any
strategy.
ends
by
underlining
strategic
importance
adopting
preserving
competitiveness
market.
Язык: Английский