MicroAI: Redefining Artificial Intelligence for Localized and Lightweight Environments
Artificial Intelligence (AI) has rapidly evolved from academic research into one of the most transformative technologies of our time. Over the past decade, the rise of deep learning architectures—particularly transformers—has defined the trajectory of modern AI systems. Models like BERT, GPT, and their successors have reshaped natural language processing, computer vision, and multimodal reasoning. However, these systems are typically massive, centralized, and resource-intensive, requiring powerful clusters of GPUs or TPUs to operate effectively. This article introduces a new concept: MicroAI . Unlike conventional AI that relies on distributed, high-power infrastructures, MicroAI focuses on applying generative and predictive intelligence within localized, lightweight, and resource-constrained environments . The aim is to explore how microservices principles, browser-based computation, and small data domains can converge to redefine how and where AI can operate. The Transformer Breakt...