Unveiling the Synergy: Exploring Advances in Applied Artificial Intelligence and Narrow AI

EasyChair Preprint 11651

Abstract

This paper presents a comprehensive assessment of recent advancements in practical artificial intelligence, focusing specifically on Narrow AI. This review scrutinizes the evolving landscape of AI applications across various sectors, examining its methodologies, implications, and real-world problem-solving capacities. Emphasizing the fundamental concepts of applied artificial intelligence, this article explores the impact of Narrow AI in vast applications e.g., healthcare, finance, manufacturing, and transportation, highlighting its essential role in decision-making processes, recognizing patterns, and enhansing predictive analytics. It further elaborates on the the methodologies driving AI advancements, spotlighting the relevance and efficacy of machine learning, deep learning, and reinforcement learning techniques within practical settings, showcasing their potential to address intricate challenges and foster innovation across diverse industries.

Keyphrases: Applied Artificial Intelligence, Narrow AI, machine learning

@booklet{EasyChair:11651,
  author    = {Smith Miller},
  title     = {Unveiling the Synergy: Exploring Advances in Applied Artificial Intelligence and Narrow AI},
  howpublished = {EasyChair Preprint 11651},
  year      = {EasyChair, 2024}}