Machine Intelligence: from Turing Test to Generative Pretrained Transformers

EasyChair Preprint 11624

Abstract

Artificial intelligence (A.I) has impressively evolved during the last seventy years, especially with the advances of machine learning. The objective of this paper is to present a survey on the chronological development of A.I from its early beginning up to the last breakthroughs. Namely, we will cover the Turing test ingredients, dark era of neural networks, resurgence of neural networks through back-propagation, ensemble learning, and deep learning. We also review the actual challenges and the eventual dangers that still face the research community

Keyphrases: Convolutional Neural Networks, deep learning, history of AI, machine learning

@booklet{EasyChair:11624,
  author    = {Fethallah Hadjila and Mohammed Merzoug and Amine Belabed},
  title     = {Machine Intelligence: from Turing Test to Generative Pretrained Transformers},
  howpublished = {EasyChair Preprint 11624},
  year      = {EasyChair, 2023}}