Ayush Gandhi
Biographic Data
| ID | 8969371 |
|---|---|
| NAME | Ayush Gandhi |
| GIVEN NAMES | Ayush |
| FAMILY NAME | Gandhi |
| SIGNATURE | GANDHI A |
| AFFILIATIONS | Chitkara University |
| ORCID | 0009-0003-0441-0250 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The Evolution of Post-Photography Art in an Era Dominated by Ai Image Synthesis
The advent of image generation via artificial intelligence has drastically changed the basis of the visual culture and modern day art practice. Historically, photography has served as a tool of recording reality, where optical capture and physical cameras are used to capture visual data provided by the outside world. Nevertheless, more recent developments in machine learning, especially generative models like Generative Adversarial Networks (GANs…
Human–ai Collaboration in Reviving Folk Traditions
The transformative aspects of human-AI cooperation in people preservation and revival of folk tradition, including music, visual art, and storytelling, are addressed in this paper. As more creative industries embrace the role of artificial intelligence, this paper explores the ways in which AI tools can support human knowledge to maintain cultural heritage and at the same time guarantee authenticity and community involvement. The study relies on …
Neural Networks in Sound Classification for Art Students
Sound classification has become an important element in contemporary creative practice, in digital art, interactive installation, performance design and multimedia storytelling. For art students, it not only equips a technological basis but also a creative toolkit to design novel expressive modality through neural network understanding of sound: his study of sound emotion mapping hybrid neural network is equipped with CNN-based spectral extractor…
NLP-Based Folk Story Documentation Systems
The folk tales are invaluable sources of cultural wisdom, language diversity and collective memory. Much of this intangible heritage is however in danger after the diminishing oral tradition and poor documentation mechanisms. This paper will introduce a NLP-based folk story documentation and preservation framework, which includes the state of the art natural language processing, semantic models as well as ontology-based cultural representations. …
No prominent works on this page.
Human–ai Collaboration in Reviving Folk Traditions
The transformative aspects of human-AI cooperation in people preservation and revival of folk tradition, including music, visual art, and storytelling, are addressed in this paper. As more creative industries embrace the role of artificial intelligence, this paper explores the ways in which AI tools can support human knowledge to maintain cultural heritage and at the same time guarantee authenticity and community involvement. The study relies on …
Neural Networks in Sound Classification for Art Students
Sound classification has become an important element in contemporary creative practice, in digital art, interactive installation, performance design and multimedia storytelling. For art students, it not only equips a technological basis but also a creative toolkit to design novel expressive modality through neural network understanding of sound: his study of sound emotion mapping hybrid neural network is equipped with CNN-based spectral extractor…
NLP-Based Folk Story Documentation Systems
The folk tales are invaluable sources of cultural wisdom, language diversity and collective memory. Much of this intangible heritage is however in danger after the diminishing oral tradition and poor documentation mechanisms. This paper will introduce a NLP-based folk story documentation and preservation framework, which includes the state of the art natural language processing, semantic models as well as ontology-based cultural representations. …
The Evolution of Post-Photography Art in an Era Dominated by Ai Image Synthesis
The advent of image generation via artificial intelligence has drastically changed the basis of the visual culture and modern day art practice. Historically, photography has served as a tool of recording reality, where optical capture and physical cameras are used to capture visual data provided by the outside world. Nevertheless, more recent developments in machine learning, especially generative models like Generative Adversarial Networks (GANs…
Cultural heritage (2 works) · Generative grammar (2 works) · Image Processing and 3D Reconstruction (2 works) · Aesthetic Perception and Analysis (1 work) · Affective Computing (1 work) · Art, Technology, and Culture (1 work) · Artificial neural network (1 work) · Categorical variable (1 work) · Citizen journalism (1 work) · Cultural diversity (1 work)