Ecosystems of Virtual Orientalism and Entrepreneurial Vision: Creativity and Liability of Newness in Digital Age with reference to India and Australia

Abstract

The digitization of archival repositories has revolutionized marketing expectations, offering limitless possibilities at unparalleled speeds. Artificial Intelligence-driven content creation through neural networks has transformed the discourse on the perpetuation of ideas, concepts, and cultural heritage. Stakeholders now recognize the pivotal role of AI in leveraging archival heritage, utilizing productive tools to both market and preserve the ethnic essence of indigenous memory variables. Traditionally, the narratives of wandering aborigines were confined to oral traditions, but with the advent of computer-based technologies, these stories have found a new medium in digital archives. The intersection of computational virtual vision and generative images technology has provided patrons and researchers with unprecedented access to explore indigenous traditions and identities. This technological advancement not only preserves ethnic heritage but also serves as a gateway to sustainable ecosystems, reinvigorating intangible cultural markers within neural network datasets. Sophisticated Language Models (LLMs) play a crucial role in cross-cultural communication, facilitating the translation and interpretation of diverse cultural contexts. By analysing acoustic features, visual imagery, myths, symbols, and motifs, these models contribute significantly to multi-dimensional learning paradigms, offering insights into neurological perceptions across different cultural and linguistic landscapes. Art enthusiasts are drawn to exploring the intricate relationship between time, ecology, biology, and environmental factors. This exploration delves into past and present realities, shedding light on both intrinsic and extrinsic motivations that shape individuals' interactions with their surroundings. After studying some samples as case studies of natural language processing and neural network programming especially of the ethnography of folk culture from Australia and India, it appeared that virtual orientation is in fact and in principle a purpose of building pedagogues of virtual orientalism, besides being the resourceful neurons to calculate perceptron (a mathematical model of a biological neuron used in AI NNs or a simple algorithm to classify data) for multi-layer neural computational automated vision. Indeed, the wandering aborigines’ culture is now a wandering computational pool to build national interest for traditions and indigeneity, and to prevent their extinction, besides mitigating binaries of nature and culture. The paper aims to present an overview of the involved Repository learning models’ performance initiated to preserve and restore the process of loss, the function, and the training. Secondly the paper will also attempt to present the pro-active steps taken by the governing agencies in cross-cultural context to conserve intangible assets for generating text and content for the further academic proposed scholarships.