Emerging Trends in Artificial Intelligence: A Review of Transformative Technologies and Applications
TL;DR
The review combines recent research findings with guidance on new investigation tracks for developing all-encompassing AI systems which both spread far-reaching outcomes and follow sustainability requirements.
Abstract
The current trends in Artificial Intelligence technologies continually transform multiple business sectors while changing how humans connect with machines. Contemporary technology views AI as its essential component instead of remaining as a separate specialized study field. A review of primary AI trends coupled with applications and obstacles in modern AI research served as the focus of this academic paper. Healthcare decision transparency integrates with financial needs to enable smart infrastructure deployment by connecting Explainable AI (XAI) with Federated Learning under Edge Computing framework. The barriers to progress include major issues with scalability together with interoperability standards and ethical needs for organizational governance. Interdisciplinary teamwork constitutes an absolute requirement to construct responsible AI systems together with dependable deployment frameworks as demonstrated through the term paper. The review combines recent research findings with guidance on new investigation tracks for developing all-encompassing AI systems which both spread far-reaching outcomes and follow sustainability requirements.
