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As Vidler suggests, the Third Typology’s radical proposition was to identify the nature of architectural elements as neither scientific nor technical but essentially architectural. For Martí Arís, this ‘essence’ of architecture is rooted in form-making, th ...
Graph machine learning offers a powerful framework with natural applications in scientific fields such as chemistry, biology and material sciences. By representing data as a graph, we encode the prior knowledge that the data is composed of a set of entitie ...
The desire and ability to place AI-enabled applications on the edge has grown significantly in recent years. However, the compute-, area-, and power-constrained nature of edge devices are stressed by the needs of the AI-enabled applications, due to a gener ...
We study the decision problem for the existential fragment of the theory of power structures. We prove complexity results that parallel the decidability results of Feferman-Vaught for the theories of product structures thereby showing that the construction ...
A type is not a model or an image to be copied, but the deep structure of how things are put together. The Symposium revisits the concept of type by critically reading its previous definitions and by offering a new interpretation of this rather elusive, but ...
Conference abstract: A type is not a model or an image to be copied, but the deep structure of how things are put together. The Symposium revisits the concept of type by critically reading its previous definitions and by offering a new interpretation of thi ...
We study quantifiers and interpolation properties in ortho- logic, a non-distributive weakening of classical logic that is sound for formula validity with respect to classical logic, yet has a quadratic-time decision procedure. We present a sequent-based p ...
We study quantifiers and interpolation properties in orthologic, a non-distributive weakening of classical logic that is sound for formula validity with respect to classical logic, yet has a quadratic-time decision procedure. We present a sequent-based pro ...
Machine learning (ML) models for molecules and materials commonly rely on a decomposition of the global target quantity into local, atom-centered contributions. This approach is convenient from a computational perspective, enabling large-scale ML-driven si ...
Metal Forming is a basic and essential industrial process to provide materials for constructing complex products. To design an efficient metal forming process, the functional requirements and operational performance are two important aspects to be consider ...
