The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Assessing the progress of new AI language models can be as challenging as training them. Stanford researchers offer a new approach.

A Weighted Zero-inflated Sensitive LSTM model (WZS-LSTM) which integrates both a stacked LSTM architecture and a Weighted Zero-inflated Sensitive (WZS) loss function was proposed to improve LSTM’s ...

Learn how Kimi K2’s open-weight framework and sparse architecture are transforming AI coding and fostering global ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

The normal leakage flux induces strong eddy currents on the surface of nanocrystalline core, producing significant leakage flux eddy current loss (LFECL). Since LFECL is proportional to the square of ...