The critical role of data centers in sustaining global economic health and societal function has been widely acknowledged and ...
Introduction Students enrolling in higher education often adopt lifestyles linked to worse mental health, potentially contributing to the peak age onset of mental health problems in early adulthood.
Objective In Indonesia, the second most natural disaster-prone country in the world, the tobacco industry exploits such crises via corporate social responsibility. The objective of this study was to ...
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
New paper published in Nature details NTT Research’s development of the world’s first programmable nonlinear photonic waveguide in collaboration with Cornell University and Stanford University. A ...
In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
The Table API enables a programmatic way of developing, testing, and submitting Flink pipelines for processing data streams. Streams can be finite or infinite, with insert-only or changelog data. The ...
Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K. Sargent Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, U.K.
Abstract: Radial basis function neural networks (RBFNN) which are best suited for nonlinear function approximation, have been successfully applied to a wide range of areas including system modeling.
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 ...