Nowadays, neural networks act as a synonym for artificial intelligence. Present neural network models, although remarkably powerful, are inefficient both in terms of data and energy. Several ...

This tutorials is part of a three-part series: * `NLP From Scratch: Classifying Names with a Character-Level RNN <https://pytorch.org/tutorials/intermediate/char_rnn ...

This project is a binary classification problem of audio data that aims to classify human voices from audio recordings. This project uses a feed forward neural network and a convolutional neural ...

A homeschooled Vietnamese American boy from San Jose, California, has been admitted to more than 100 universities across the United States, receiving scholarship offers totaling approximately US$3 ...

We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks. This approach is well ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper presents the development of data-driven hybrid nonlinear static-nonlinear ...

The use of enhanced sampling simulations is essential in the study of complex physical, chemical, and biological processes. We devise a procedure that, by combining machine learning and biased ...