In interviews with Ars Technica this week, OpenAI employees revealed the extent to which the company now relies on its own AI ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Abstract: This paper proposes a graph linear canonical transform (GLCT) by decomposing the linear canonical parameter matrix into fractional Fourier transform, scale transform, and chirp modulation ...

Interactive Python modes are an easy way to learn new libraries. Scripting languages are easy to learn on their own because ...

cuPDLPx is a GPU-accelerated linear programming solver based on a restarted Halpern PDHG method specifically tailored for GPU architectures. It incorporates a Halpern update scheme, an adaptive ...

This is the Pytorch implementation for our TheWebConf'24 paper "Linear-Time Graph Neural Networks for Scalable Recommendations". Please find our paper in ACM Digital ...

Abstract: We study the stability of an equilibrium of arbitrarily switched, autonomous, continuous-time systems through the computation of a common Lyapunov function (CLF). The switching occurs ...

Political spending will spike next year, but stations will struggle to reverse a longstanding shift away from local TV ...