From Text To Tables: Why Structured Data Is AI’s Next $600B Frontier

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
IEEE

Alpine Wetlands Information Extraction Using Optimized Multifeatures and Random Forest Algorithm

Abstract: Alpine wetlands are a special ecosystem that is extremely sensitive to global climate change. The unique geographical location and climatic conditions of the Yellow-River-Source National ...
IEEE

ABIBE: Adaptive Building Information-Based Extraction From Remote Sensing Imagery Using Vision–Language Models

Abstract: Building extraction from remote sensing imagery is essential for urban planning, population monitoring, and emergency response. However, traditional methods often struggle with accurate ...
GitHub

barretts/ocr-table-taxis

OCR engines like Apple Vision, Google Cloud Vision, and Tesseract output flat lists of recognized text with bounding box coordinates. OCR Table Taxis reconstructs the logical table structure from that ...
GitHub

pysparkdt (PySpark Delta Testing)

An open-source Python library for simplifying local testing of Databricks workflows using PySpark and Delta tables. This library enables seamless testing of PySpark processing logic outside Databricks ...