A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

In an age where artificial intelligence (AI) is no longer a futuristic concept but a present-day reality, the role of ...

In this paper, we propose a novel ELA measure to quantify the level of variable interactions in continuous optimization problems. We evaluated the efficacy of this measure using a suite of benchmark ...

python data-science machine-learning reinforcement-learning deep-learning deployment tensorflow optimization parallel pytorch distributed hyperparameter-optimization ray hyperparameter-search serving ...

Calling python code from Julia for objective function in optimization A significant part of my research is embodied in the Fresa nature inspired multi-objective optimization package (Fraga 2021) ...

Been trapped by local minimums is an important problem in no-linear optimization problems, which is blocking evolutionary algorithms to find the global optimum. Normally, to increase the optimization ...