That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...