6 papers
Neuromorphic Circuits with Spiking Astrocytes for Increased Energy Efficiency, Fault Tolerance, and Memory Capacitance
Aybars Yunusoglu, Dexter Le, Murat Isik +2
In the rapidly advancing field of neuromorphic computing, integrating biologically-inspired models like the Leaky Integrate-and-Fire Astrocyte (LIFA) into spiking neural networks (…
A Review of Memory Wall for Neuromorphic Computing
Dexter Le, Baran Arig, Murat Isik +2
This paper reviews memory technologies used in Field-Programmable Gate Arrays (FPGAs) for neuromorphic computing, a brain-inspired approach transforming artificial intelligence wit…
Battery State of Health Estimation Using LLM Framework
Aybars Yunusoglu, Dexter Le, Karn Tiwari +2
Battery health monitoring is critical for the efficient and reliable operation of electric vehicles (EVs). This study introduces a transformer-based framework for estimating the St…
HPCNeuroNet: A Neuromorphic Approach Merging SNN Temporal Dynamics with Transformer Attention for FPGA-based Particle Physics
Murat Isik, Hiruna Vishwamith, Jonathan Naoukin +1
This paper presents the innovative HPCNeuroNet model, a pioneering fusion of Spiking Neural Networks (SNNs), Transformers, and high-performance computing tailored for particle phys…
Multimodal LLM for Intelligent Transportation Systems
Dexter Le, Aybars Yunusoglu, Karn Tiwari +2
In the evolving landscape of transportation systems, integrating Large Language Models (LLMs) offers a promising frontier for advancing intelligent decision-making across various a…
NeuroVM: Dynamic Neuromorphic Hardware Virtualization
Murat Isik, Jonathan Naoukin, I. Can Dikmen
This paper introduces a novel approach in neuromorphic computing, integrating heterogeneous hardware nodes into a unified, massively parallel architecture. Our system transcends tr…