Why Sakana AI’s big win is a big deal for the future of enterprise agents

By leveraging inference-time scaling and a novel "reflection" mechanism, ALE-Agent solves the context-drift problems that ...
IEEE

Stochastic Gradient Descent for Constrained Optimization Based on Adaptive Relaxed Barrier Functions

Abstract: This letter presents a novel stochastic gradient descent algorithm for constrained optimization. The proposed algorithm randomly samples constraints and components of the finite sum ...
How-To Geek on MSN

7 programming techniques that quietly make you elite

Reem Raouda is a leading voice in conscious parenting and the creator of FOUNDATIONS, a step-by-step guide that helps parents ...
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 ...