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Physics-informed neural networks were tested for their capabilities in predicting concentration profiles in gradient liquid ...

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Artificial neural networks (ANNs) are computational models that are loosely inspired by their biological counterparts. In recent years, major breakthroughs in ANN research have transformed the machine ...

This study presents an important contribution to the understanding of neural speech tracking, demonstrating how minimal background noise can enhance the neural tracking of the amplitude-onset envelope ...

none - No post-processing methods used. fba (default) - This algorithm improves the borders of the image when removing the background from images with hair, etc. using FBA Matting neural network. This ...

Note: In order to use PyPlot, you will need to have the Python Matplotlib library installed on your machine first. Over the recent years, quantum neural network models have attracted a lot of ...

Itay&Beyond grows brain tissue from patient urine stem cells to test neurological drugs, training the chips via video games ...

Contemporary modeling approaches to the dynamics of neural networks include two important classes of models: biologically grounded spiking neuron models and functionally inspired rate-based units. We ...

Researchers used a virtual reality game and functional MRI to uncover how children's brains with ADHD respond differently during active tasks.

Researchers from a joint Skoltech-University of Sharjah laboratory and AIRI Institute have automated the analysis of retina ...