How Google’s Lang Extract Turns Messy Documents into Trustworthy JSON and Interactive HTML

Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.

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

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

Current Trends and Advances in Extractive Text Summarization: A Comprehensive Review

Abstract: Given the rapid increase of textual data in various fields, text summarization has become essential for efficient information handling. Over recent decades, numerous methods have been ...

Gemini is quietly crushing it — 7 prompts that prove what the model can do

Discover seven underrated Gemini prompts that go beyond the basics — from bookshelf analysis to stress-free trip planning and ...
IEEE

Global and Local Context Fusion in Heterogeneous Graph Neural Network for Summarizing Lengthy Scientific Documents

Abstract: The primary objective of text summarization is to condense a document’s length while preserving its essential content. Extractive summarization methods are commonly used due to their ...
GitHub

GitHub - farhangnaderi/skyink: Write in the sky with drones - Convert text to flight missions

Convert text to autonomous flight missions for PX4, ArduPilot, and other MAVLink-compatible autopilots. Uses Hershey stroke fonts, Douglas-Peucker path simplification, and GPS coordinate ...