“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Abstract: The time-consuming nature of training and deploying complicated Machine and Deep Learning (DL) models for a variety of applications continues to pose significant challenges in the field of ...

Abstract: Selective optimal disassembly sequencing (SODS) is a methodology for the disassembly of waste products. Mathematically, it is an optimization problem. However, in the existing research, the ...

This is read by an automated voice. Please report any issues or inconsistencies here. Approval for Trump’s performance on the economy, once one of his strongest points, has sunk to 39%. Most voters ...