The final case study shows how convolutional neural networks can be used for sea ice segmentation using synthetic aperture radar. Rafael has a bachelor in Geophysics from the University of São Paulo, ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - ...

Artificial neural networks process data in a manner ... sentiment analysis and text related applications. After a data scientist has identified a use case for an ANN and selected a specific ...

This study presents a machine learning method for monitoring laser temperatures using spectral data, offering a non-invasive alternative to traditional sensors.

The paper’s authors typically use deep neural networks to predict extreme weather events or for other climate applications ... translate the picture into data; the middle part might analyze ...

Graph neural networks (GNNs ... different types of data, they have different strengths and weaknesses. In some cases, GNNs may be able to replace CNNs in certain applications, but this depends ...

Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as ... domain to converge to very similar data representations, regardless of network ...

Scientists propose a new way of implementing a neural network with ... Institute for the Science of Light in their new article in Nature Physics. "Normally, the data input is imprinted on the ...

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

To succeed with our neural networks would be groundbreaking for atmospheric science, as such networks would be more than 1000 times faster compared to detailed models. Michael Boy is Professor in ...