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 ...

The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...

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 ...

GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

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 ...