In this valuable manuscript, authors ablate cerebellar oligodendrocytes during postnatal development and show that synchrony of calcium transients in Purkinje neurons and behaviours are affected even ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.

If you’re on the lookout for such a creative partner, the Lenovo Yoga Slim 7i Aura Edition should definitely be on your radar ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

Neural networks have revolutionized the fields of artificial intelligence (AI) and machine learning by providing a flexible, ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can slow down project timelines. By using machine learning methods, researchers ...

AI servers are used for training and deploying machine learning models, executing neural networks for tasks like image and speech recognition, analyzing and understanding human language ...

Mackie and colleagues present a valuable comparison of lateralized gustation in two well-studied nematodes. The evidence they present that ASEL/R lateralization exists and is achieved by different ...

Arista Networks Inc engages in the development, marketing, and sale of data-driven, client to cloud networking solutions for data center, campus, and routing environments in the Americas ...