Advances in human and social aspects of technology book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 44
Published: Sept. 13, 2024
The
intent
of
this
chapter
is
to
introduce
the
reader
foundations
upon
which
Generative
Artificial
Intelligence
(GenAI)
slowly
revolutionizing
field
cybersecurity.
Over
next
few
pages,
will
become
familiar
with
concept
GenAI,
including
its
core
technologies-generative
adversarial
networks,
variational
autoencoders,
and
a
host
other
sophisticated
deep
learning
models.
One
needs
note
that
most
technologies
mentioned
in
are
among
cutting-edge
developments
currently
pushing
boundaries
More
importantly,
works
discussed
explain
how
GenAI
allows
for
new
methods
identification,
detection,
prediction,
mitigation
cyber
threats.
Nonetheless,
tale
cybersecurity
tackled
mixed
emotions.
Despite
enormous
promise
it
holds
securing
our
digital
habitats,
technology
exposed
world
dangers,
especially
form
privacy
invasion
potential
malpractice.
Thus,
as
defensive
tool
an
offensive
weapon,
calling
balanced
strategy
govern
adoption.
Further,
should
use
on
understand
role
interdisciplinary
cooperation
ethical
guidelines
address
downsides
applications.
By
blending
insights
revelations
from
academic
practical
standpoint,
highlighted
can
change
face
apart
implications
emphasizes
significance
equipping
professionals
knowledge
technologies,
advocating
proactive
adaptable
security
posture
within
organizations,
well
pivotal
ongoing
research
policy
development
dynamic
field.
In
conclusion,
looks
into
future
AI-driven
era
highlighting
sustained
innovation,
consideration,
collaborative
efforts
ensure
landscape
evolves
by
incorporating
generative
AI
advancements.
Informatics in Medicine Unlocked,
Journal Year:
2024,
Volume and Issue:
48, P. 101533 - 101533
Published: Jan. 1, 2024
Reverse
vaccinology
is
an
emerging
concept
in
the
field
of
vaccine
development
as
it
facilitates
identification
potential
candidates.
Biomedical
research
has
been
revolutionized
with
recent
innovations
Generative
Artificial
Intelligence
(AI)
and
Large
Language
Models
(LLMs).
The
intersection
these
two
technologies
explored
this
study.
In
study,
impact
AI
LLMs
explored.
Through
a
comprehensive
analysis
existing
research,
prospective
use
cases,
experimental
case
highlights
that
have
to
enhance
efficiency
accuracy
candidate
identification.
This
work
also
discusses
ethical
privacy
challenges,
such
data
consent
biases,
raised
by
applications
require
careful
consideration.
study
paves
way
for
experts,
researchers,
policymakers
further
investigate
role
LLM
medicine.
arXiv (Cornell University),
Journal Year:
2021,
Volume and Issue:
unknown
Published: Jan. 1, 2021
There
is
a
growing
interest
in
the
area
of
machine
learning
and
creativity.
This
survey
presents
an
overview
history
state
art
computational
creativity
theories,
key
techniques
(including
generative
deep
learning),
corresponding
automatic
evaluation
methods.
After
presenting
critical
discussion
contributions
this
area,
we
outline
current
research
challenges
emerging
opportunities
field.
Quantitative Science Studies,
Journal Year:
2024,
Volume and Issue:
6, P. 22 - 45
Published: Nov. 5, 2024
Abstract
Technology
influences
Open
Science
(OS)
practices,
because
conducting
science
in
transparent,
accessible,
and
participatory
ways
requires
tools
platforms
for
collaboration
sharing
results.
Due
to
this
relationship,
the
characteristics
of
employed
technologies
directly
impact
OS
objectives.
Generative
Artificial
Intelligence
(GenAI)
is
increasingly
used
by
researchers
tasks
such
as
text
refining,
code
generation/editing,
reviewing
literature,
data
curation/analysis.
Nevertheless,
concerns
about
openness,
transparency,
bias
suggest
that
GenAI
may
benefit
from
greater
engagement
with
OS.
promises
substantial
efficiency
gains
but
currently
fraught
limitations
could
negatively
core
values,
fairness,
integrity,
harm
various
social
actors.
In
paper,
we
explore
possible
positive
negative
impacts
on
We
use
taxonomy
within
UNESCO
Recommendation
systematically
intersection
conclude
using
advance
key
objectives
broadening
meaningful
access
knowledge,
enabling
efficient
infrastructure,
improving
societal
actors,
enhancing
dialogue
among
knowledge
systems.
However,
due
GenAI’s
limitations,
it
also
compromise
equity,
reproducibility,
reliability
research.
Hence,
sufficient
checks,
validation,
critical
assessments
are
essential
when
incorporating
into
research
workflows.
Journal of Field Robotics,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 5, 2024
ABSTRACT
The
challenging
characteristics
of
earthwork
environments—complex,
unstructured,
and
constantly
evolving—pose
significant
challenges
for
the
path
planning
automated
machinery.
Recent
advancements
in
artificial
intelligence
(AI)
technology
have
opened
new
avenues
to
address
these
challenges,
which
are
crucial
improving
level
However,
there
is
a
notable
lack
comprehensive
analyses
on
AI‐based
operations.
Consequently,
we
provide
systematic
review
four
AI
technologies
currently
employed
machinery,
including
(1)
evolutionary
computation,
(2)
swarm
intelligence,
(3)
machine
learning,
(4)
other
technologies.
We
analyzed
application
performance
evaluation
results
across
various
construction
Through
this
analysis,
identified
several
key
challenges:
multiconstraint
environments,
generalization
3D
unstructured
sites,
adaptability
dynamically
uncertain
shortage
on‐site
validation.
then
outline
potential
future
directions:
integration
generative
with
reinforcement
use
large
model
technology,
adoption
embodied
conduction
more
experiments.
International Journal For Multidisciplinary Research,
Journal Year:
2024,
Volume and Issue:
6(3)
Published: May 17, 2024
This
project
entails
enhancing
the
accuracy
of
OpenAI
Chat
GPT-3.5
Turbo
by
training
it
with
a
carefully
selected
dataset
Q&A
related
to
Indian
stock
market.
By
leveraging
Flask,
we
develop
user-friendly
interface
that
provides
easy
access
valuable
insights
for
making
informed
decisions.
Our
goal
is
equip
users
deep
understanding
market
dynamics,
assisting
both
investors
and
enthusiasts
in
navigating
intricacies
financial
markets.
blending
advanced
NLP
methods
intuitive
design,
strive
create
smooth
interaction
experience
boosts
engagement
encourages
choices.
Advances in human and social aspects of technology book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 44
Published: Sept. 13, 2024
The
intent
of
this
chapter
is
to
introduce
the
reader
foundations
upon
which
Generative
Artificial
Intelligence
(GenAI)
slowly
revolutionizing
field
cybersecurity.
Over
next
few
pages,
will
become
familiar
with
concept
GenAI,
including
its
core
technologies-generative
adversarial
networks,
variational
autoencoders,
and
a
host
other
sophisticated
deep
learning
models.
One
needs
note
that
most
technologies
mentioned
in
are
among
cutting-edge
developments
currently
pushing
boundaries
More
importantly,
works
discussed
explain
how
GenAI
allows
for
new
methods
identification,
detection,
prediction,
mitigation
cyber
threats.
Nonetheless,
tale
cybersecurity
tackled
mixed
emotions.
Despite
enormous
promise
it
holds
securing
our
digital
habitats,
technology
exposed
world
dangers,
especially
form
privacy
invasion
potential
malpractice.
Thus,
as
defensive
tool
an
offensive
weapon,
calling
balanced
strategy
govern
adoption.
Further,
should
use
on
understand
role
interdisciplinary
cooperation
ethical
guidelines
address
downsides
applications.
By
blending
insights
revelations
from
academic
practical
standpoint,
highlighted
can
change
face
apart
implications
emphasizes
significance
equipping
professionals
knowledge
technologies,
advocating
proactive
adaptable
security
posture
within
organizations,
well
pivotal
ongoing
research
policy
development
dynamic
field.
In
conclusion,
looks
into
future
AI-driven
era
highlighting
sustained
innovation,
consideration,
collaborative
efforts
ensure
landscape
evolves
by
incorporating
generative
AI
advancements.
