| Title | A Framework of Artificial Intelligence for the Manufacturing and Image Classification system |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Shetty, Pallavi, Joshi, Kapil, Raman, Dr. Ramakrishnan, Rao, K. Naga Venkateshwara, Kumar, Dr. A. Vijaya, Tiwari, Mohit |
| Conference Name | 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) |
| Date Published | dec |
| Keywords | artificial intelligence, data integrity, data privacy, Deep Learning, expert systems, Human Behavior, image classification, machine learning algorithms, Manufacturing, Organizations, privacy, pubcrawl, resilience, Resiliency, Safety, Scalability, Technological innovation |
| Abstract | Artificial intelligence (AI) has been successfully employed in industries for decades, beginning with the invention of expert systems in the 1960s and continuing through the present ubiquity of deep learning. Data-driven AI solutions have grown increasingly common as a means of supporting ever-more complicated industrial processes owing to the accessibility of affordable computer and storage infrastructure. Despite recent optimism, implementing AI to smart industrial applications still offers major difficulties. The present paper gives an executive summary of AI methodologies with an emphasis on deep learning before detailing unresolved issues in AI safety, data privacy, and data quality -- all of which are necessary for completely automated commercial AI systems. |
| DOI | 10.1109/IC3I56241.2022.10073183 |
| Citation Key | shetty_framework_2022 |
A Framework of Artificial Intelligence for the Manufacturing and Image Classification system