Decoding Tables: A New Dataset Pushes the Limits of Visual Document Understanding

Researchers have released PubTables-v2, a large-scale resource designed to advance the extraction of complex tables from scientific documents.

Researchers have released PubTables-v2, a large-scale resource designed to advance the extraction of complex tables from scientific documents.

Researchers have developed a novel scene encoder that dramatically improves the efficiency and performance of autonomous vehicles by intelligently compressing data from multiple cameras.

Researchers have demonstrated a new method for using large language models to control procedural content generation software, allowing for the creation of complex 3D maps without any prior training.

New research demonstrates a prompting framework that infuses large language models with user-specific information to deliver more relevant and engaging responses.
A new analysis reveals persistent gender disparities in authorship of Canadian science publications, but suggests the issue stems from broader representation in STEM, not necessarily bias in the publishing process.

Researchers have developed a new system that allows teams of robots to accurately determine their positions relative to each other, even with limited visibility and noisy sensor data.

A new AI agent combines medical imaging and large language models to automate the interpretation of echocardiograms, potentially improving diagnostic accuracy and streamlining clinical workflows.

Researchers have developed a framework to help vision-language models better connect words with the visual elements they describe, improving their ability to understand unseen combinations of objects and concepts.

Researchers have developed a novel AI framework that enables underwater vehicles to navigate complex environments with greater precision and efficiency.

New research details an AI-powered browser extension that dynamically tailors educational examples to individual student needs and real-time interaction.