Archiv · May 2026
Structured Progressive Knowledge Activation for LLM-Driven Neural Architecture Search
arXiv:2605.04057v1 Announce Type: new Abstract: This paper focuses on a key challenge in Neural Architecture Search (NAS): integrating established architectural knowledge while exploring new designs under expensive evaluations. Large language models (LLMs) are a promising assist
FCBV-Net: The Robot That Finally Learns to Smooth Any Shirt, Not Just One
arXiv:2508.05153v2 Announce Type: replace Abstract: Category-level generalization for robotic garment manipulation, such as bimanual smoothing, remains a significant hurdle due to high dimensionality, complex dynamics, and intra-category variations. Current approaches often stru
Bayesian Rain Field Reconstruction using Commercial Microwave Links and Diffusion Model Priors
arXiv:2605.05520v1 Announce Type: new Abstract: Commercial Microwave Links (CMLs) offer dense spatial coverage for rainfall sensing but produce path-integrated measurements that make accurate ground-level reconstruction challenging. Existing methods typically oversimplify CMLs a
A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data Centers
arXiv:2605.04074v1 Announce Type: new Abstract: AI data centers experience rapid fluctuations in power demand due to the heterogeneity of computational tasks that they have to support. For example, the power profile of inference and training of large language models (LLMs) is qu
Lean bereinigt Mathematiks hartnäckigsten Streit – AEC sollte aufmerken
Zwei Projekte nutzen Lean zur Verifikation der ABC-Vermutung. Was formale Verifikation für Schweizer BIM und AEC bedeutet.
Rhino trifft Archicad: Die Grenze nach 40 Jahren GDL
Severi Virolainen zeigt im McNeel-Webinar, wann Grasshopper und wann Archicad das richtige Werkzeug ist – gestützt auf 40 Jahre GDL-Erfahrung.
Energiedominanz war schon immer eine Illusion – Der Iran-Schock macht es sichtbar
Die Hormuz-Blockade und Ras-Laffan-LNG-Schäden treffen Schweizer Baukosten direkt. Was der Energiedominanz-Mythos für Ihre Projekt-Risikomodelle bedeutet.