Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Abstract: As a well-known NP-hard problem, the vertex cover problem has broad applications, which has aroused the concern of many researchers. In recent years, its related optimization problems, ...

The Florida government is ridding the Everglades of invasive pythons by allowing fashion brans to turn them into luxury accessories. Inverse Leathers Shopping will now save the planet. Florida ...

The governor held a press conference on Monday where he highlighted the success of a public-private partnership aimed at removing Pythons from Florida's Everglades.Gov. Ron DeSantis shared the success ...

Abstract: The challenge of dynamic multimodal optimization problems (DMMOPs) lies in tracking multiple global or locally acceptable optimal solutions in environments that change over time. Typically, ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

PyPRS is a Python software package specifically developed to solve large-scale ranking and selection (R&S) problems in parallel computing environments. The underlying parallel computing framework is ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...