Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Abstract: 4D LiDAR semantic segmentation classifies the semantic category of each LiDAR point and detects whether it is dynamic, a critical ability for tasks like obstacle avoidance and autonomous ...

Semantic SEO helps search engines understand context. Learn how to use entities, topics, and intent to build richer content that ranks higher. Semantic SEO aims to describe the relationships between ...

The performance gap between unsupervised segmentation models and SAM can be significantly reduced. UnSAM not only advances the state-of-the-art in unsupervised segmentation by 10% but also achieves ...

Soon, you might not need to type in the exact name or spelling for searches in File Explorer, Settings, or Windows Search. But like with many AI-powered features, this one still needs work. Here's how ...

If you want to improve the way Windows Search works on your computer, we recommend you use Semantic Search. It is a new feature introduced in Windows 11, allowing Windows to leverage AI to search ...

Based on a number of new features being rolled up within new “Release Preview” updates for Windows 11, Microsoft appears to be readying a push for AI-powered enhancements in the coming weeks. Although ...

Abstract: Remote sensing semantic segmentation is a critical technology in the field of remote sensing image processing, with broad applications in environmental monitoring, urban planning, disaster ...

Underwater images segmentation is essential for tasks such as underwater exploration, marine environmental monitoring, and resource development. Nevertheless, given the complexity and variability of ...

With agentic AI now firmly established as a key component of modern software development, Microsoft graduated its Semantic Kernel Agent Framework to Release Candidate 1 status. That was announced last ...