In the evolving world of machine learning (ML), the phenomenon of data and concept drift presents both challenges and ...

Before the term artificial intelligence was coined in 1955, there were glimmers of AI’s potential in folklore, fiction, and the early engineering feats of the 19th and early 20th centuries. These ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

Convert ML models, tools and libraries between frameworks while maintaining complete functionality using ivy.transpile Create optimized graph-based models and functions in any native framework ...

Department of Architecture ... machine interaction, as well as to “the design of things”, to use D. Norman’s expression (Norman, 2013). 4. Hermeneutic Interpretation through the Light of Aristotelian ...

Transfer learning employs machine learning techniques through which models built ... as it renders the prediction of image targeting tasks as effective and functional as possible. They write, "By ...

At present, it is still unknown whether the dynamic functional connectivity (dFC) between various brain regions is in a stable state. It is necessary to interpret brain changes from a new perspective, ...