As AI continues to revolutionize industries, new workloads, like generative AI, inspire new use cases, the demand for efficient and scalable AI-based solutions has never been greater. While training ...

Abstract: The problem of statistical inference in its various forms has been the subject of decades-long extensive research. Most of the effort has been focused on characterizing the behavior as a ...

Everyone has a favourite video game tutorial. Maybe it's the first hour of Fallout 3, which quite literally treats you as a baby, teaching you new mechanics at different stages of growth? Perhaps it's ...

Create a series of training and inference tutorials exploring Kornia API with up-to-date real cases open source: using hugging faces datasets library and datasets available on hugging faces hub using ...

Abstract: The debiased estimator is a crucial tool in statistical inference for high-dimensional model parameters. However, constructing such an estimator involves estimating the high-dimensional ...

Abstract: With the increasing availability of electronic health records (EHR) data, it is important to effectively integrate evidence from multiple data sources to enable reproducible scientific ...

In the 21st century, artificial intelligence (AI) has emerged as a valuable approach in data science and a growing influence in medical research, 4-6 with an accelerating pace of innovation. This ...