A large-scale investigation of carnivoran brain diversity, providing a unified description of folding patterns, their relationship to behaviour and ecology, and the foundation for future ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

NVIDIA Cosmos Dataset Search (CDS) is a comprehensive platform for semantic search across video datasets using advanced AI models. The platform enables text-to-video and video-to-video queries against ...

A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...

To prepare AI agents for office work, the company is asking contractors to upload projects from past jobs, leaving it to them ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: Surgical phase recognition is a critical, yet challenging, problem in computer vision, with significant implications for automated surgical training, intraoperative assistance, and workflow ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Handling Large Python Datasets Can Feel Overwhelming, but with the Right Tools and Habits, Can You Really Make Big Data Faster, Simpler, and Less Stressful to Work With? Prior knowledge of the size ...

Abstract: We present Oakink2, a dataset of bimanual object manipulation tasks for complex daily activities. In pursuit of constructing the complex tasks into a structured representation, Oakink2 ...