A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

NTT Research announced that its Physics and Informatics (PHI) Lab, working with Cornell University and Stanford University, has developed the world's first programmable nonlinear photonic waveguide ...

good first issue kind/featureCategorizes issue or PR as related to a new feature.Categorizes issue or PR as related to a new feature. And now need support some binary functions. some function have ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...

Ames National Laboratory, U.S. Department of Energy, Ames, Iowa 50011, United States Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, United States ...

Step #3 - "firebase-deploy": ⚠ functions: HTTP Error: 400, Could not create Cloud Run service user-list. Constraint constraints/run ...