Digital tools, argues Adam Holloway, can revive the role of architects as master builders, returning vernacular craft and material agency to the heart of design.
Models, by definition, are approximations: useful, informative, and inevitably incomplete, because they are the only way to ...
The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
In the increasingly volatile world of catastrophe risk, the primary hurdle for third-party capital has rarely been the risk ...
French software giant positions knowledge as currency in the generative economy, announces three AI assistants, and deepens its partnership with NVIDIA.
Disrupting left superior frontal sulcus selectively impaired perceptual but not value-based decisions, revealing segregated ...
The FEMA Review Council recommends replacing the decades-old system for distributing money to states with a plan triggered by weather conditions, not ...
As AI workloads move from centralised training to distributed inference, the industry’s fibre infra challenge is changing ...
Abstract: The accurate parametric array manifold is the theoretical basis of array signal processing technology. In this paper, a compact parametric model of the true array manifold is proposed. A ...
MemRL separates stable reasoning from dynamic memory, giving AI agents continual learning abilities without model fine-tuning.
Introduction Accounting for missing data by imputing or weighting conditional on covariates relies on the variable with missingness being observed at least some of the time for all unique covariate ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...