Untangling the PDF Puzzle: AI for Reliable Biomedical Data Extraction

A new approach harnesses schema constraints and provenance tracking to automatically extract structured data from scientific PDFs, streamlining biomedical research.

A new approach harnesses schema constraints and provenance tracking to automatically extract structured data from scientific PDFs, streamlining biomedical research.

A new framework streamlines the transfer of learned skills to physical robots, accelerating development and deployment across diverse platforms.
A new benchmark rigorously tests large language models’ ability to reason about chemical structure, revealing surprising gaps in their understanding.

A new framework leverages the synergy between sensing, communication, and control to unlock enhanced agility and efficiency in unmanned aerial vehicle swarms.
A new artistic paradigm is emerging where creative systems don’t just repeat, but fundamentally transform through their own iterative processes, particularly fueled by advancements in artificial intelligence.

New research shows that giving artificial intelligence distinct personalities dramatically improves the realism of social media simulations.
This review explores how quantum machine learning algorithms are pushing the boundaries of computational power for complex data analysis.
This review explores how conversational AI is being deployed to address pressing social challenges and improve lives around the world.
![The system elucidates [latex]sold(d)[/latex] within the set [latex]I \in AS(P\_1)[/latex], offering insight into its behavior through defined parameters.](https://arxiv.org/html/2601.14764v1/figures/xasp2.png)
As Answer Set Programming gains traction in complex problem-solving, understanding why a system reaches a particular conclusion is becoming increasingly critical.

Agent-based modeling is emerging as a powerful tool for dissecting the complex interplay of cells and forces that govern tissue development and behavior.