Swordfish est un outil de calcul et d’analyse spécialisé pour l’architecture navale. Il permet d’évaluer la stabilité, la résistance structurelle et la performance hydrodynamique des navires. Son intégration avec Grasshopper permet une approche paramétrique de la conception navale, facilitant l’exploration de multiples itérations et optimisations.
Grasshopper
Grasshopper est un plugin de modélisation paramétrique pour Rhinoceros 3D. Il permet de générer des formes complexes à l’aide d’une approche visuelle basée sur des nœuds et des connexions, plutôt que par des scripts de programmation. Très utilisé en architecture, en design et en ingénierie, il offre une grande flexibilité pour la conception et l’optimisation des formes.Continuer la lecture de Grasshopper – Swordfish tutorial – 02→
A novel 3D generation method is introduced, enabling versatile and high-quality 3D asset creation. At its core is a unified Structured LATent (SLAT) representation, which supports decoding into multiple output formats, including Radiance Fields, 3D Gaussians, and meshes. This is achieved by combining a sparsely-populated 3D grid with dense multiview visual features extracted from a robust vision foundation model, effectively capturing both structural (geometry) and textural (appearance) information while preserving decoding flexibility.
Artificial Intelligence has been making significant strides in the field of archeology. Here are a few ways in which AI is revolutionizing the discipline:
Remote sensing: AI-powered remote sensing techniques can analyze vast amounts of satellite imagery and other geospatial data to identify potential archaeological sites and features.
Pattern recognition: AI algorithms can help archaeologists identify patterns in data that might not be apparent to the human eye, aiding in the interpretation of artifacts and the reconstruction of past societies.
Continuer la lecture de Grasshopper – Swordfish tutorial – 02 
Structured 3D Latents for Scalable and Versatile 3D Generation (https://trellis3d.github.io/) 
