Figure 5. A generic convolutional neural network flow. The term convolution refers to the well-known mathematical procedure. For a great animated visualization of the convolution process, ...

Deep neural networks are at the heart of artificial intelligence, ranging from pattern recognition to large language and ...

Then, each person's EEG readings for team, solo, and non-flow state were mapped onto a multidimensional space. The team found that the closer two participants' readings were in this space, the ...

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

Neurovascular coupling (NVC) is the dynamic regulation of cerebral blood flow in response to neural activity. Specifically, ...

The initial research papers date back to 2018, but for most, the notion of liquid networks (or liquid neural networks) is a new one. It was “Liquid Time-constant Networks,” published at the ...

Neural networks are software inspired by how neurons interact in the brain. The type of neural network examined in this study, liquid neural networks, can adapt flexibly in real-time when given ...