Predicting the Trajectory of AI Utilizing the Markov Model of Machine Learning

^*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Original language	English
Title of host publication	2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)
Publisher	IEEE
ISBN (Electronic)	979-8-3503-3526-2
ISBN (Print)	979-8-3503-3527-9
DOIs	https://doi.org/10.1109/CCAI57533.2023.10201251
Publication status	Published - 3 Aug 2023

Access to Document

@inproceedings{3255e6e25d7842f89c326c9a15253ee2,

title = "Predicting the Trajectory of AI Utilizing the Markov Model of Machine Learning",

author = "Matilda Isaac and Mobolaji Akinola and Bintao Hu",

year = "2023",

month = aug,

day = "3",

doi = "10.1109/CCAI57533.2023.10201251",

language = "English",

isbn = "979-8-3503-3527-9",

booktitle = "2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)",

publisher = "IEEE",

}

TY - GEN

T1 - Predicting the Trajectory of AI Utilizing the Markov Model of Machine Learning

AU - Isaac, Matilda

AU - Akinola, Mobolaji

AU - Hu, Bintao

PY - 2023/8/3

Y1 - 2023/8/3

U2 - 10.1109/CCAI57533.2023.10201251

DO - 10.1109/CCAI57533.2023.10201251

M3 - Conference Proceeding

SN - 979-8-3503-3527-9

BT - 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI)

PB - IEEE

ER -