mlsanityData to 14 Oct 2026

Comprehensive Overview of Artificial Intelligence Applications in Modern Industries

arXiv 2409.13059 ↗First posted 19 Sep 2024cs.LG cs.AIcited by 6

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Abstract (arXiv)

Artificial Intelligence (AI) is fundamentally reshaping various industries by enhancing decision-making processes, optimizing operations, and unlocking new opportunities for innovation. This paper explores the applications of AI across four key sectors: healthcare, finance, manufacturing, and retail. Each section delves into the specific challenges faced by these industries, the AI technologies employed to address them, and the measurable impact on business outcomes and societal welfare. We also discuss the implications of AI integration, including ethical considerations, the future trajectory of AI development, and its potential to drive economic growth while posing challenges that need to be managed responsibly.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 18 of its 52 references that are in the map. First posted on arXiv 19 Sep 2024.

Builds on

18 of 52 references.

References · 18

  1. 2024Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustnesscited by 22
  2. 2022Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanationcited by 16
  3. 2024Utilizing Deep Learning to Optimize Software Development Processescited by 15
  4. 2023Twitter Sentiment Analysis of Covid Vaccinesscited by 13
  5. 2024Application of Multimodal Fusion Deep Learning Model in Disease Recognitioncited by 12
  6. 2024Research on Autonomous Robots Navigation based on Reinforcement Learningcited by 12
  7. 2024Detecting Misinformation in Multimedia Content through Cross-Modal Entity Consistency: A Dual Learning Approachcited by 12
  8. 2023Optimizing Distributed Networking with Big Data Scheduling and Cloud Computingcited by 10
  9. 2024Rhyme-aware Chinese lyric generator based on GPTcited by 10
  10. 2023An Integrated Transportation Distance Between Kernels and Approximate Dynamic Risk Evaluation in Markov Systemscited by 9
  11. 2024Let Community Rules Be Reflected in Online Content Moderationcited by 9
  12. 2024The application of Augmented Reality (AR) in Remote Work and Educationcited by 8
6 more
  1. 2024Online Learning of Multiple Tasks and Their Relationships : Testing on Spam Email Data and EEG Signals Recorded in Construction Fieldscited by 8
  2. 2024Enhanced Self-Checkout System for Retail Based on Improved YOLOv10cited by 7
  3. 2024Deep Learning in Medical Image Classification from MRI-based Brain Tumor Imagescited by 7
  4. 2023Fast Dual Subgradient Optimization of the Integrated Transportation Distance Between Stochastic Kernelscited by 4
  5. 2024Deep Learning for Lung Disease Classification Using Transfer Learning and a Customized CNN Architecture with Attentioncited by 4
  6. 2024Enhancing Skin Lesion Diagnosis with Ensemble Learningcited by 3

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Cited by year

Citing papers per year: 2024: 3; 2025: 3.

6 papers.

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  3. 2024Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN)cited by 4
  4. 2025Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detectioncited by 3
  5. 2024Construction and optimization of health behavior prediction model for the elderly in smart elderly carecited by 0
  6. 2025AI-Driven Sentiment Analytics: Unlocking Business Value in the E-Commerce Landscapecited by 0