Do speakers of different languages build sentence structure in the same way? In a neuroimaging study published in PLOS ...

This study uses all-optical electrophysiology methods to provide a valuable insight into the organization of cortical networks and their ability to balance the activity of groups of neurons with ...

Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

To address the above problems, this article proposes a recurrent self-coding neural network (RSCN) for one-stop noise cancellation ... The self-encoding structure is updated cyclically to realize ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...

U.S. telecom giants AT&T and Verizon say they have secured their networks after being targeted by the China-linked Salt Typhoon cyberespionage group. In a statement given to TechCrunch on Monday ...

That alone can bring a bit of confusion, so it's important to understand at least the basic concepts of how managing networks on Linux works. Before I continue, I want to mention that I'm only ...

AI models like artificial neural networks and language models help scientists solve a variety of problems, from predicting the 3D structure of proteins to designing novel antibiotics from scratch.

The result? A fully self-training, neural network-based thrust vector control (TVC) system that promises smarter and more efficient stabilization in real time. The journey started with a basic 3D ...