Abstract: Semantic urban 3D meshes have widely applied in the fields of photogrammetry and remote sensing. Acquiring discriminative feature representations to improve semantic segmentation accuracy in ...

Anthropic announced “dreaming” for AI agents to sort through “memories” at its developer conference. Can we not?

Abstract: Random Fourier Features (RFF) are widely employed in machine learning to approximate kernel functions with low-dimensional feature mappings, effectively reducing computational cost and ...

Linear algebra isn’t just math—it’s the secret language of AI, machine learning, and data science. From representing data as matrices to optimizing neural networks, it’s everywhere. Understanding it ...