Silicon Celebrations Merging with Systematic Structures to Shape Tomorrow’s Tech Landscape
A remarkable dynamic exists between technological advancement and the underlying infrastructure that supports the digital world we live in. Silicon is at the center of this complex dance because it has come to represent the unrelenting ambition of the technology sector [1]. The coming together of silicon parties and methodical structures is a watershed moment in the history of technological progress. This study investigates the new idea of using Infobyte Imprints to have an effect on how future digital user interfaces are made. This method is included in the study’s scope. We are going to use a lot of different types of machine learning and AI to achieve our goals. RL, Computer Vision (CV), and Natural Language Processing (NLP) are a few examples of these techniques. Digital devices send out digital fingerprints, which are known as infobyte imprints, in real time. This step is done after the data preparation, model training, and distribution steps are done. This takes place as soon as the fingerprints are taken. The suggested method is better at getting people to work together and getting things done than 10 other average methods. Since the method was suggested, this works. There are four different types of diagrams that are used to show the data clearly. The 10 buzzwords, which are mentioned in alphabetical order, give a quick outline of the subject being investigated.
Authors
- S. Arul Antran Vijay (ORCID: https://orcid.org/0000-0002-5543-7547)
- Raghu G Anand
- Prateek Garg (ORCID: https://orcid.org/0000-0002-6654-7004)
- Abhinav Mishra (ORCID: https://orcid.org/0000-0003-2368-1788)
- V. Mahalakshmi
- Gopal B Deshmukh
Institutions
- Jain University (IN)
- Shri Venkateshwara University (IN)
- Karpagam Academy of Higher Education (IN)
- Chitkara University (IN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/ictbig64922.2024.10911131
- Primary Topic
- University-Industry-Government Innovation Models
- Type
- article
- Field-Weighted Citation Impact
- 0.00