Artificial Neural Networks: Current Application Areasand Future Potential
Year: 2025
Type: article
Abstract: This paper provides a comprehensive analysis of Artificial Neural Networks (ANNs), exploring both their current real-world applications and future technological potential. Drawing from recent academic literature and industry breakthroughs, it examines ANN-driven innovations in healthcare, finance, autonomous vehicles, natural language processing, and image/video processing, supported by case studies such as Google DeepMind’s AlphaFold, Tesla’s Autopilot, and OpenAI’s GPT models. The study further investigates emerging frontiers—including Quantum Machine Learning, Neuromorphic Computing, Multimodal AI, and Sustainable AI—while critically addressing technical limitations, ethical challenges, and environmental concerns. By combining technical insight with an ethics-focused perspective, this work offers actionable recommendations for researchers, developers, and policymakers to guide responsible, transparent, and energy-efficient AI development.
Source: Figshare
Author: Okur, Elif Ceren
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6958242084
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