Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

Professor Nicolas Boumal, currently Tenure Track Assistant Professor at EPFL, as Associate Professor of Mathematics in the ...

National Intellectual Property Administration Announces Important Patent Application ...

We present an integrated approach to derive multimodal MRI markers of cognition that can be transdiagnostically linked to psychopathology. This demonstrates that the predictive ability of neural ...

This study provides valuable insights into human valve development by integrating snRNA-seq and spatial transcriptomics to characterize cell populations and regulatory programs in the embryonic and ...

The compounds that emerge aren't just theoretical curiosities. They're synthesised and tested, and one targeting fibrosis ...

In cellular automata, simple rules create elaborate structures. Now researchers can start with the structures and ...

A highly regarded research direction is “Physical Neural Networks” (PNNs), which utilize physical systems like light, electricity, and vibrations for computation, aiming to free themselves from ...

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...

Assessing the lethal resistance levels of buildings during earthquakes is crucial for reducing disaster losses and human casualties. This study proposes a novel model that integrates an improved ...