Analysis and Fully Memristor-based Reservoir Computing for Temporal Data Classification
Reservoir computing (RC) offers a neuromorphic framework that is particularly effective for
processing spatiotemporal signals. Known for its temporal processing prowess, RC …
processing spatiotemporal signals. Known for its temporal processing prowess, RC …
Short-term memory characteristics of TiN/WOX/FTO-based transparent memory device
G Kim, Y Cho, S Kim - Chinese Journal of Physics, 2024 - Elsevier
This work proposes a TiN/WO X/FTO device as a candidate for transparent artificial
synapses. First, transmission electron microscopy (TEM), X-ray photoelectron spectroscopy …
synapses. First, transmission electron microscopy (TEM), X-ray photoelectron spectroscopy …
Temporal-encoded 6T-RRAM with Bidirectional Control for Future Neuromorphic Systems
Neuromorphic systems are of high importance in artificial intelligence (AI) to eschew
challenges inherent to deep learning acceleration in conventional systems. Throughout the …
challenges inherent to deep learning acceleration in conventional systems. Throughout the …
Compute-in-Memory with 6T-RRAM Memristive Circuit for Next-Gen Neuromorphic Hardware
KJ Bai, H Jiang - 2024 Neuro Inspired Computational Elements …, 2024 - ieeexplore.ieee.org
Compute-in-memory (CIM) is primarily built into neuromorphic hardware to radically subvert
the modern computing bottleneck for a range of applications, in particular for today's artificial …
the modern computing bottleneck for a range of applications, in particular for today's artificial …
The game-changing memristive technology for next-gen AI/ML hardware
Neuromorphic computing is of high importance in Artificial Intelligence (AI) and Machine
Learning (ML) to sidestep challenges inherent to neural-inspired computations in modern …
Learning (ML) to sidestep challenges inherent to neural-inspired computations in modern …
An advanced neuromorphic accelerator on FPGA for next-G spectrum sensing
MF Azmine - 2024 - vtechworks.lib.vt.edu
In modern communication systems, it's important to detect and use available radio
frequencies effectively. However, current methods face challenges with complexity and …
frequencies effectively. However, current methods face challenges with complexity and …