Hackaday

Optimizing Software With Zero-Copy And Other Techniques

An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...

Using Nonlinear Branching Conversations In AI-Enabled Mental Health Chats

A relatively new feature of generative AI is the ability to invoke nonlinear conversations. It has ups and downs in mental ...
IEEE

Solution of Optimal Power Flow Problems Using Enhanced Hunter Pray Optimization Algorithm

Abstract: This work presents a new algorithm specifically developed to solve the Optimal Active Power Dispatch (OAPD) problems. The OAPD problem aims to minimize total voltage deviation, quadratic ...
Tech Xplore

Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
eWeek

GPT-5.2 Just Solved a 30-Year Math Problem

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

Constrained Evolutionary Bayesian Optimization for Expensive Constrained Optimization Problems With Inequality Constraints

Abstract: This article proposes a constrained evolutionary Bayesian optimization (CEBO) algorithm to cope with expensive constrained optimization problems with inequality constraints. The uniqueness ...