Tech Xplore

Energy system optimization model developed for pathways to net-zero greenhouse gas emissions for Southeast Asia

Could Southeast Asia become carbon neutral by 2050, even as energy demand increases? The region is growing quickly and still ...

Silicon Valley's next risky self-optimization craze is unproven peptides

For many of these uses, the scientific backing is far weaker than that for GLP-1 drugs. Yet many users extrapolate from the ...
IEEE

Multiple Response Optimization Under Interval Preference Parameter: An Intuitionistic Fuzzy Desirability Function Method

Abstract: Multiple response optimization (MRO) aims to obtain an optimal solution by optimizing several responses simultaneously for quality improvement. The preference parameters in the traditional ...
IEEE

Modified Fitness Dependent Optimizer for Solving Numerical Optimization Functions

Abstract: The Fitness Dependent Optimizer (FDO) is a recent metaheuristic algorithm that was developed in 2019. It is one of the metaheuristic algorithms that has been used by researchers to solve ...
Tech Xplore

Reinforcement learning accelerates model-free training of optical AI systems

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
GitHub

Quantile Reward Policy Optimization: Alignment with Pointwise Regression and Exact Partition Functions

This is a reference implementation and will not be actively maintained in the future. The code in this repository is a refactored version of the codebase we used to produce the results in the paper ...