When I asked an AI to walk through what would actually happen if President Donald Trump somehow made federal income tax ...

The Model Cache Utils (MCU) (formerly Triton Kernel Development Kit (TKDK)) is a suite of tools designed to streamline and enhance the development workflow for Model Kernel developers. Whether you're ...

Abstract: Aiming at the problem that the traditional photovoltaic output parametric model presets the distribution and is difficult to describe the meteorological randomness, this paper proposes a ...

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on even the most untidy handwritten math answers—much like a human instructor.

Abstract: This paper introduces a novel framework for monitoring and modeling dynamic processes that evolve over both space and time. The approach combines kernel methods for spatial regression with ...

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...