Exploration of the technologies used to understand and manage complex systems — including artificial intelligence, data analytics, modeling, and monitoring tools that support sustainability and governance.
Deep learning is transforming biodiversity research by enabling large-scale analysis of ecological data. This article explores how AI-driven pattern recognition can support conservation science and improve biodiversity monitoring systems.
Smart cities increasingly rely on edge intelligence to process data locally rather than sending every signal to the cloud. This article explores how FPGA acceleration and TinyML enable scalable, resilient urban infrastructure.
