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AI Advancements: Exploring GitHub Copilot, Fake News Detection with LSTM, and AI's Impact on Transportation

EasyChair Preprint 14990

6 pagesDate: September 21, 2024

Abstract

Artificial Intelligence (AI) has significantly influenced various sectors, pushing the boundaries of technology and redefining processes. This paper delves into three key areas of AI advancements: GitHub Copilot for software development, Long Short-Term Memory (LSTM) networks in detecting fake news, and the broader impact of AI on transportation. GitHub Copilot, an AI-powered coding assistant, is revolutionizing how developers write code. LSTM, a form of recurrent neural network (RNN), offers a potent solution for detecting misinformation. Lastly, AI's contributions to transportation, through self-driving vehicles and traffic management, show how AI reshapes infrastructure, safety, and efficiency in the transportation sector. This paper aims to provide a comprehensive understanding of how these technologies work and their societal impacts.

Keyphrases: Artificial Intelligence, GitHub Copilot, LSTM

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:14990,
  author    = {Muskan Khan},
  title     = {AI Advancements: Exploring GitHub Copilot, Fake News Detection with LSTM, and AI's Impact on Transportation},
  howpublished = {EasyChair Preprint 14990},
  year      = {EasyChair, 2024}}
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