most citedON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers

14 citations

5 papers

cs.CL2025

Mnemosyne: An Unsupervised, Human-Inspired Long-Term Memory Architecture for Edge-Based LLMs

Aneesh Jonelagadda, Christina Hahn, Haoze Zheng +1

Long-term memory is essential for natural, realistic dialogue. However, current large language model (LLM) memory systems rely on either brute-force context expansion or static ret…

cs.CR2025★ 3 cited

IoT Firmware Version Identification Using Transfer Learning with Twin Neural Networks

Ashley Andrews, George Oikonomou, Simon Armour +2

As the Internet of Things (IoT) becomes more embedded within our daily lives, there is growing concern about the risk `smart' devices pose to network security. To address this, one…

math.AP2024

Duality for Evolutionary Equations with Applications to Null Controllability

Andreas Buchinger, Christian Seifert

We study evolutionary equations in exponentially weighted -spaces as introduced by Picard in 2009. First, for a given evolutionary equation, we explicitly describe…

cs.NE2024★ 14 cited

ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers

Zihao Chen, Zhili Xiao, Mahmoud Akl +17

We introduce NeuroSA, a neuromorphic architecture specifically designed to ensure asymptotic convergence to the ground state of an Ising problem using a Fowler-Nordheim quantum mec…

physics.optics2024

Wide-range resistivity characterization of semiconductors with terahertz time-domain spectroscopy

Joshua Hennig, Jens Klier, Stefan Duran +9

Resistivity is one of the most important characteristics in the semiconductor industry. The most common way to measure resistivity is the four-point probe method, which requires ph…