Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: ...

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...

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

We describe computationally efficient methods for Bayesian model selection. The methods select among mixtures in which each component is a directed acyclic graphical model (mixtures of DAGs or MDAGs), ...

Abstract: As micro-architectures evolve with increasing complexity, the design process needs to account for a broad range of parameters, which leads to expansive design spaces. Design space ...

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 ...

Abstract: It is known that both the physical domain in size and problem complexity should also be considered to decrease more and more computational resources, especially for a large-scale complicated ...