Order from disordered proteins: Physics-based algorithm designs biomolecules with custom properties

In synthetic and structural biology, advances in artificial intelligence have led to an explosion of designing new proteins ...
IEEE

Hybrid Machine Learning Integration with Task Scheduling Algorithms in Cloud Environments

Abstract: Effective task scheduling and resource allocation are significant difficulties in cloud computing, frequently resulting in delayed execution times, elevated energy usage, and cost ...
Frontiers

Balancing Accuracy and Efficiency: Co-Design of Hybrid Quantization and Unified Computing Architecture for Spiking Neural Networks

The final, formatted version of the article will be published soon. The deployment of Spiking Neural Networks (SNNs) on resource-constrained edge devices is hindered by a critical algorithm-hardware ...
GitHub

QAMP Project Proposal: Hybrid Quantum-Classical Algorithm for Minimum Steiner Tree Optimization

This project proposes the development and mentorship of a hybrid quantum-classical algorithmic framework to solve the Minimum Steiner Tree problem, a fundamental combinatorial optimization challenge ...
IEEE

Design of Frequency Selective Rasorbers Based on A Hybrid Neural Network Framework

Abstract: This letter presents an intelligent design method for frequency selective rasorbers (FSRs) based on a hybrid neural network framework, significantly reducing learning complexity. First, a ...
GitHub

generative-neural-network

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.