Abstract: In recent years, physics-informed neural networks (PINNs) have developed significantly as a deep learning technology. In analogy to the selection of grid cells in traditional numerical ...
Abstract: Accurate, field-scale mapping of crop-type areas across large and diverse regions remains challenging due to the need for extensive training data, inconsistent ground surveys, and the ...
Sequence-to-function (S2F) models can evaluate arbitrary DNA sequences, yet they struggle to fully capture inter-individual variation in gene expression. We introduce SAGE-net, a scalable framework ...
In 2021, after catching the tech bug as a kid and earning a degree in communications, Ada got into tech writing by editing crypto guides. Ada's expertise now spans Windows, Android (especially Samsung ...
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