Neuromorphic–GPU Hybrid Systems for Next-Gen AI

Introduction: The Dichotomy of Modern AI Acceleration The field of artificial intelligence is defined by a fundamental conflict: an insatiable, exponentially growing demand for computational power clashing with the physical Read More …

The Convergence of Paradigms: An Architectural and Performance Analysis of Neuromorphic-GPU Hybrid Computing Systems

Introduction: The Dichotomy of Modern AI Acceleration The field of artificial intelligence is defined by a fundamental conflict: an insatiable, exponentially growing demand for computational power clashing with the physical Read More …

The Convergence of Spiking Neural Networks and Neuromorphic Hardware: An In-Depth Analysis of Intel’s Loihi 2 Ecosystem

Executive Summary The relentless progress in artificial intelligence (AI) has been largely propelled by deep learning models running on conventional von Neumann architectures, such as GPUs and TPUs. While these Read More …