IEEE

Research on SNN Learning Algorithms and Networks Based on Biological Plausibility

Abstract: Spiking Neural Networks, inspired by the brain’s neuronal information processing mech- anisms, utilize sparse, event-based spike signals to emulate biological computation. These networks aim ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
IEEE

Design of a SpinCilium MEMS Vector Hydrophone Driven by the COBYLA Algorithm

Abstract: Cilium-based MEMS vector hydrophones are critical in underwater acoustic detection, but their performance is highly sensitive to cilium geometry ...
The Manila Times

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
GitHub

[OSDI'25 Artifact] Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD

Welcome to the artifact repository of OSDI'25 accepted paper: Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD! This repository contains the ...