The Recent Trends of Artificial Intelligence and Its Indications

Authors

  • Wentao Gao

DOI:

https://doi.org/10.54097/hset.v68i.12049

Keywords:

Data, machine learning, Pre-training, AlphaGo, Generative Pre-trained Transformer.

Abstract

Artificial intelligence technology becomes more familiar to the world by the day, large variety of industries incorporate AI for its functioning power and efficiency. AlphaGo by Google’s DeepMind become the first famous AI example of recent days in 2017 after its victory against a human Weiqi champion. It uses neural networks and reinforcement learning to play Weiqi at a superhuman level. AI branches into different fields including medicine, and plays a significant role helping to fight the Covid-19 pandemic in China and the US, especially medical algorithms and physical drones. GPT makes its entrance to the public in 2023, with outstanding data processing and generating power by using deep learning algorithms to generate human-like langua and perform natural language processing tasks. This paper summarizes AI technologies from 2017 to recent day, incorporating information from papers by experts in AI and related fields, focusing on summarize, analyze, and prediction of the AI technology.

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References

Sean Holcomb et al. Overview on DeepMind and Its AlphaGo Zero AI. ICBDE '18: Proceedings of the 2018 International Conference on Big Data and Education, 2018: 67–71

Sebastien Bubeck et al. Sparks of Artificial General Intelligence: Early Experiments with GPT-4. 2023, 5.

Michael Haenlein and Andreas Kaplan, A Brief History of Artificial Intelligence.

Sebastien Bubeck et al., “Sparks of Artificial General Intelligence: Early Experiments with GPT-4”

J. X. Chen, The Evolution of Computing: AlphaGo. Computing in Science & Engineering, 2016, 18(4): 4-7.

Vivek Kaul et al. History of artificial intelligence in medicine. Gastrointestinal Endoscopy, Volume 92, Issue 4, 2020, 92(4): 807-812.

Briganti G and Le Moine O Artificial Intelligence in Medicine: Today and Tomorrow. 2020: 7-27.

Joseph Bullock et al. Mapping the landscape of Artificial Intelligence applications against COVID-19. Journal of Artificial Intelligence Research , 2020, 69: 807-845.

Raju Vaishya et al. Artificial Intelligence (AI) applications for COVID-19 pandemic, Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 2020, 14(4):337-339.

F. -Y. Wang et al. Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond. IEEE/CAA Journal of Automatica Sinica, 2016, 3(2):113-120.

Shuyue Wang, Pan Jin. A brief Summary of Propting in Using GPT Models.

Min Zhang, Juntao Li. A commentary of GPT-3 in MIT Technology Review 2021. Fundamental Research, 2021, 1(6):831-833.

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Published

09-10-2023

How to Cite

Gao, W. (2023). The Recent Trends of Artificial Intelligence and Its Indications. Highlights in Science, Engineering and Technology, 68, 135-140. https://doi.org/10.54097/hset.v68i.12049