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IA, redes neuronales y servidores

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IA, redes neuronales y servidores

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Fundamentos de IA y redes neuronales

Created by

Cecilia Bonilla
Cecilia Bonilla
Argentina

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IA, redes neuronales y servidores
 

IA, redes neuronales y servidoresOnline version

Fundamentos de IA y redes neuronales

by Cecilia Bonilla
1

¿Qué es la IA?

La IA es la capacidad de una máquina para imitar funciones humanas como aprender, razonar y resolver problemas mediante datos, modelos y algoritmos eficientes.

2

Definición y alcance

La IA puede clasificarse en sistemas que aprenden de datos y sistemas que usan reglas fijas. El aprendizaje automático mejora con experiencia y ejemplos.

3

¿Qué es una red neuronal artificial?

Una red neuronal artificial es un conjunto de nodos conectados que imitan redes neuronales biológicas para procesar información.

4

Estructura básica

En una red hay capas (entrada, oculta y salida), nodos (neuronas), pesos y funciones de activación que transforman señales entre capas.

5

¿Qué son los servidores?

Los servidores informáticos proporcionan potencia de cómputo, almacenamiento y conectividad para ejecutar IA a escala y entregar resultados a usuarios.

6

IA en servidores

Las IA suelen ejecutarse en servidores con GPUs o TPUs, aprovechando paralelismo para entrenar y desplegar modelos a gran velocidad.

7

Tipos de IA

Existen tipos de IA: débil (centrada en tareas) y fuerte (capacidad general similar a la humana), aún mayoritariamente teórica.

8

Aplicaciones comunes

Aplicaciones: reconocimiento de voz e imágenes, asistentes virtuales, recomendación de contenidos y análisis predictivo.

9

Desafíos éticos

Desafíos incluyen sesgos, transparencia, privacidad y impacto laboral; la supervisión humana es clave para un uso responsable.

10

Resumen

IA y redes neuronales impulsan sistemas inteligentes; los servidores proporcionan la base para entrenar, almacenar y ejecutar estos modelos.
 
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