Inspired by the advancements in large language models based on transformers, we introduce transformer quantum state (TQS): a versatile machine learning model for many-body problems. In sharp contrast to Hamiltonian/task specific models, TQS can generate entire phase diagram, predict field strengths with experimental measurements, and transfer such knowledge new systems it has never been trained...

This paper deals with the problem of estimating an appropriate hand posture to grasp an object, from 2D object’s visual cues in a many-to-many (objects,grasp) configuration. A statistical learning protocol implementing vector-valued regression is adopted for both classifying the most likely grasp type and estimating the hand posture. An extensive experimental evaluation on a publicly available ...

The functioning of a multimodal integration system requires metadata, such as ontologies, that describe media resources and media components. Such metadata are generally application and domain dependent, which causes difficulties when media need to be shared across domains. Thus, there is a need for a mechanism that can relate the key terms and/or media components in data from different sources...