International Journal of Scientific Research in Science and Technology,
Год журнала:
2025,
Номер
12(2), С. 46 - 52
Опубликована: Март 4, 2025
A
survey
was
made
to
the
students
of
Instituto
Tecnológico
de
Tlaxiaco,
Oaxaca
,
Mexico
about
interactive
platforms
they
use
most
in
their
homework,
addition
this
it
highlighted
that
some
are
fluent
Spanish
and
other
an
indigenous
language,
way
were
questioned
which
language
speak,
write
or
read,
order
know
how
interact
with
technologies
offer
new
opportunities
improve
education,
facilitating
inclusive
effective
learning.
This
work
considered:
type
device
usually
use,
for
different
research
laboratory
projects
schoolwork.
It
is
important
mention
access
technology
indigenous-speaking
promotes
digital
inclusion
offers
where
significant
impacts
shown
overcome
barriers
learning
conditions.
AI
in
cybersecurity
is
a
disruptive
method
to
addressing
the
growing
sophistication
of
cyber
threats
digital
age.
AI-driven
technologies
like
machine
learning
(ML)
and
data
analytics
may
improve
threat
detection
prevention,
according
this
study.
Modern
attack
vectors
including
zero-day
vulnerabilities,
APTs,
ransomware
challenge
traditional
measures.
Adaptive
models
predictive
provide
proactive
real-time
mitigation
with
AI.
When
taught
on
massive
datasets
historical
data,
algorithms
can
find
trends
anomalies
that
rule-based
systems
miss.
IDS
EPP
accuracy
improves
greatly
feature.
AI-powered
solutions
also
automate
incident
response
dynamic
hunting,
decreasing
event
containment
times.
Data
aggregates
analyzes
logs
from
multiple
sources
actionable
insights
security.
Advanced
NLP
generative
have
changed
intelligence
by
rapidly
analyzing
reports
dark
web
activities.
adoption
faces
obstacles
include
algorithmic
bias,
adversarial
attacks
models,
hackers
misusing
Explainable
(XAI)
frameworks
are
essential
for
transparency
trust.
This
article
brings
together
trends,
tools,
methodologies
discuss
modeling
protection
Industry
leaders'
case
studies
show
how
AI-based
detect
prevent
complex
assaults.
study
emphasizes
necessity
interdisciplinary
collaboration
maximize
AI's
impact
ecosystems
while
resolving
ethical
legal
issues.
The
findings
support
AIdriven
protect
vital
infrastructure,
corporate
networks,
personal
an
increasingly
linked
world.
AI
enables
data-driven,
climate-resilient
crop
management,
revolutionizing
precision
farming.
Traditional
farming
methods
are
failing
to
maintain
productivity
and
food
security
as
climate
change
increases.
AI-powered
innovations
boost
agricultural
operations
via
predictive
analytics,
real-time
data
processing,
machine
learning
algorithms.
The
latest
technology
may
improve
management
resilience,
this
article
examines.
These
advancements
rely
on
AI-driven
soil
analysis,
weather
prediction,
pest
systems.
Machine
models
trained
large
datasets
accurately
anticipate
patterns
health,
allowing
farmers
make
proactive
decisions.
algorithms
IoT
sensors
monitor
moisture,
nutrient
content
in
real
time,
enabling
precise
watering
fertilization.
Drones
computer
vision
monitoring
by
detecting
illnesses
stress
factors
early
with
unparalleled
precision.
Generative
also
used
simulate
climatic
scenarios
study
adaptability
generate
seed
types.
optimizes
water
fertilizer
use
maximize
yields
promote
sustainable
Recent
research
show
that
can
incorporate
satellite
imagery
field
into
comprehensive
decision-support
systems
help
adapt
local
global
climates.
Precision
faces
obstacles.
High
implementation
costs,
privacy
concerns,
the
rural
digital
divide
limit
its
use.
This
report
emphasizes
need
for
governmental
interventions,
public-private
collaborations,
capacity-building
close
these
gaps
democratize
technologies.
empower
farmers,
alleviate
threats,
secure
chain
encouraging
innovation
inclusivity.
International Journal of Scientific Research in Science and Technology,
Год журнала:
2025,
Номер
12(2), С. 46 - 52
Опубликована: Март 4, 2025
A
survey
was
made
to
the
students
of
Instituto
Tecnológico
de
Tlaxiaco,
Oaxaca
,
Mexico
about
interactive
platforms
they
use
most
in
their
homework,
addition
this
it
highlighted
that
some
are
fluent
Spanish
and
other
an
indigenous
language,
way
were
questioned
which
language
speak,
write
or
read,
order
know
how
interact
with
technologies
offer
new
opportunities
improve
education,
facilitating
inclusive
effective
learning.
This
work
considered:
type
device
usually
use,
for
different
research
laboratory
projects
schoolwork.
It
is
important
mention
access
technology
indigenous-speaking
promotes
digital
inclusion
offers
where
significant
impacts
shown
overcome
barriers
learning
conditions.
