Summary of Comprehensive Overview Of Artificial Intelligence Applications in Modern Industries, by Yijie Weng et al.
Comprehensive Overview of Artificial Intelligence Applications in Modern Industries
by Yijie Weng, Jianhao Wu, Tara Kelly, William Johnson
First submitted to arxiv on: 19 Sep 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper explores the applications of Artificial Intelligence (AI) across four key sectors: healthcare, finance, manufacturing, and retail. It 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. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Artificial Intelligence is changing many industries in important ways. This paper looks at how AI helps four big areas: healthcare, money, making things, and selling things. It talks about what problems each of these areas has, which AI tools help solve them, and how this helps businesses and society. The paper also thinks about the good and bad effects of using AI a lot. |