This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

A discussion of the current landscape of generative AI (GenAI) patent drafting tools, including the differences between fully ...

This paper presents FLOAT, an audio-driven talking portrait video generation method based on flow matching generative model. We shift the generative modeling from the pixel-based latent space to a ...

Abstract: In recent years, generative models have become a cornerstone of machine learning, with applications spanning from image synthesis to scientific simulation. Despite their rapid progress, the ...

Cheminformatics is the use of computational and informational techniques to understand problems of chemistry, for instance in the in silico mapping of chemical space – the theoretical space occupied ...

Mathematics and computing is the study and analysis of abstract concepts, such as numbers and patterns. Mathematics is the language of choice for scientifically describing and modelling the universe ...

Abstract: Given the high cost associated with directly measuring the Traffic Matrix (TM), researchers have devoted efforts to devising methods for estimating the complete TM from low-cost link loads ...

This repository contains the source code for the paper SA-VLA: Spatially-Aware Reinforcement Learning for Flow-Matching Vision-Language-Action Models. SA-VLA is developed on top of the RLinf ...

While finance and sales staff are ostensibly on the same team, at least from a big-picture standpoint, their perceptions of credit risk tend to differ markedly. For example, in a recent study, about ...