Investigations into the Evolution of Generative AI

Xueyi Cheng

doi:10.5281/zenodo.14003350

Authors

Xueyi Cheng Duke University

DOI:

https://doi.org/10.5281/zenodo.14003350

ARK:

https://n2t.net/ark:/40704/JCTAM.v1n4a14

Disciplines:

Artificial Intelligence

Subjects:

Artificial Neural Networks

References:

7

Keywords:

Machine Learning, Artificial Neural Networks, Genrative AI

Abstract

Machine Learning, a pivotal technology within the realm of artificial intelligence, has experienced remarkable progress in recent times. This research offers a thorough and structured presentation of machine learning. It begins with a comprehensive look at the evolution of machine learning throughout history, then zeroes in on dissecting the foundational algorithms that underpin the field. Following this, the study sheds light on the cutting-edge developments in machine learning, with the goal of thoroughly examining its applications across different sectors and contemplating the prospective trajectories for its future.

Author Biography

Xueyi Cheng, Duke University

Researcher at Duke University.

References

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