A Holistic Review of Emerging Ai-augmented Algorithmic Paradigms in Post-moore Computing Architectures: Exploring the Convergence of Neuromorphic Engineering, Quantum Acceleration, and Bio-inspired Optimization Techniques
Year: 2025
Type: article
Abstract: The continuous downscaling trend dictated by Moore's Law has reached physical limitations, prompting the emergence of alternative computing paradigms. This paper provides a holistic review of AI-augmented algorithmic paradigms shaping post-Moore architectures, with a focus on the convergence of neuromorphic engineering, quantum acceleration, and bio-inspired optimization. By situating these technologies in an interdisciplinary context, the paper outlines how AI is catalyzing new computational frameworks with improved adaptability, energy efficiency, and problem-solving capacity. The landscape showcases accelerated hybridization of classical and non-classical methods, enabled by advances in AI modeling, hardware abstraction, and self-organizing systems.
Author: Researcher
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930742353
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