The project should be compatible with latest Pytorch and CUDA versions. The code is tested with Python 3.11, PyTorch 2.5.0, and CUDA 12.1. To install the dependencies, run: conda env create -f ...

Beta - This Python library is under active development. There may be breaking changes that occur until release of 0.1.0. The AI Data Science Team of Copilots includes Agents that specialize data ...

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and Circulating miRNAs to Predict Residual Teratoma in Metastatic Nonseminoma Testicular Cancer ...

ROC curve comparisons showed that LONT outperformed N stage in predictive accuracy, particularly for 1-year CSS. DCA and calibration curves indicated that the model had high predictive accuracy in ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side.