The Visual Investigations team combines traditional reporting with digital sleuthing and the forensic analysis of visual evidence to find truth, hold the powerful to account and deconstruct important ...

Therefore, this tutorial describes the use of traditional qualitative methods to analyze a large corpus of qualitative text data. We use examples from a nationwide SMS text messaging poll of youth to ...

Abstract: Comparing tensors and identifying their (dis)similar structures is fundamental in understanding the underlying phenomena for complex data. Tensor decomposition methods help analysts extract ...

In this tutorial, we build an end-to-end visual document retrieval pipeline using ColPali. We focus on making the setup robust by resolving common dependency conflicts and ensuring the environment ...

Abstract: Tensor robust principal component analysis (TRPCA), as a popular linear low-rank method, has been widely applied to various visual tasks. The mathematical process of the low-rank prior is ...

With the continuous advancement of urbanization, high-rise buildings are increasingly blocking the sky, natural green spaces are diminishing, and the visible sky is shrinking. Consequently, people's ...

Data Science Program, University of Delaware, Newark, Delaware 19716, United States Department of Materials Science and Engineering, University of Delaware, Newark, Delaware 19716, United States ...

For investors and traders aiming to make informed decisions, mastering advanced chart analysis techniques can be a game changer. These techniques go beyond basic price movements, helping you spot ...

After co-founding his own tech company, one of the School of Computer Science’s newest faculty members is making the transition from industry to academia. Francisco Romero completed his Ph.D. in ...

Microsoft unveiled a suite of AI-powered debugging and profiling tools for .NET developers, integrating GitHub Copilot directly into Visual Studio's diagnostic workflow. The recently announced Copilot ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...