Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

Researchers developed a PV-RNN model that learns like children, integrating language and action to uncover mechanisms of ...

Adding innovations at every turn, artificial intelligence, machine learning, and the Internet of Things are transforming ...

Year Master of Information and Data Science (MIDS) alums Marlon Fu, Austin Ho, Nora Povejsil, Suhas Prasad, and Derek Yao are ...

Epilepsy causes recurrent, unprovoked seizures triggered by bursts of abnormal electrical activity in the brain.

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

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

Using a rodent stress model, researchers at the Laboratory of Thalamus Research, HUN-REN Institute of Experimental Medicine ...

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 ...

Artificial intelligence (AI) writing tools have been exploding in popularity. Automated rewriting tools, or text generators, or article spinners, these algorithms claim to generate human-like content ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify ...

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 ...