Abstract: Developing deep learning models for accurate segmentation of biomedical CT images is challenging due to their complex structures, anatomy variations, noise, and unavailability of sufficient ...

Abstract: End-to-end autonomous driving has emerged as a promising paradigm integrating perception, decision-making, and control within a unified learning framework. Recently, Vision-Language Models ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

These local LLMs are changing the game in lots of fun ways.