Synergizing Neural Networks and Machine Learning: a Comprehensive Exploration of Artificial Intelligence

EasyChair Preprint no. 11856

Abstract

Artificial Intelligence (AI) has witnessed a paradigm shift with the integration of Neural Networks (NN) and Machine Learning (ML). This paper explores the synergies between NN and ML, delving into their combined potential to enhance AI capabilities. We investigate the historical context, current state, and future prospects of this integration, addressing key challenges and opportunities. By presenting a comprehensive overview, this paper aims to contribute to the evolving landscape of AI research and development.

Keyphrases: Artificial Intelligence, Automation, Cognitive Computing, Data Science, deep learning, hybrid models, Integration, machine learning, neural networks, synergy

@Booklet{EasyChair:11856,
  author = {William Jack and George Joni},
  title = {Synergizing Neural Networks and Machine Learning: a Comprehensive Exploration of Artificial Intelligence},
  howpublished = {EasyChair Preprint no. 11856},

  year = {EasyChair, 2024}}