Vol. 1 No. 2 (2020): The AI Journal Q2 2020

The Artificial Intelligence Journal (TAIJ) continues its pioneering journey with Volume 1, Issue 2, capturing a crucial period in AI’s rapid evolution during the second quarter of 2020. As global industries accelerated digital transformation initiatives, this issue highlights research that reflects both the challenges and the unprecedented opportunities presented during this period of technological transition.

This issue presents a curated collection of articles spanning machine learning optimization, explainable and trustworthy AI, edge intelligence, cognitive architectures, and emerging applications in remote healthcare, autonomous systems, and adaptive security frameworks. The authors contribute novel methodologies, practical deployments, and empirical studies that deepen our understanding of how AI models can operate reliably, ethically, and efficiently in real-world environments.

With the world adapting to remote work, distributed computing, and rising demands for intelligent automation, Q2 2020 stands as a pivotal moment in AI history. This edition captures that momentum, offering insights into resilient AI systems, model generalizability, and early frameworks for human-AI collaboration that continue to influence present-day innovation.

Every manuscript underwent a rigorous double-blind peer-review process, reinforcing Scribeia’s commitment to scholarly excellence, open-access dissemination, and responsible AI research. This issue further cements TAIJ’s role as a platform for interdisciplinary exchange, bridging academia, industry, and practitioners worldwide.