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

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

The AI model was able to eventually match the rats’ image processing capabilities, but only after using more and more ...

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

Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...

Rats perceive the world with a complexity that modern artificial neural networks struggle to match. This is the finding of a recent study published in the journal Patterns by the Visual Neuroscience ...

Researchers developed a novel method combining hydrogel-coated microfluidic devices with high-density microelectrode arrays to study neuronal networks. This innovation allows precise spatial and ...

Microsoft has announced that neural rendering capabilities are coming to DirectX soon. Cooperative vector support, as it’s called, will lead to “cross-platform enablement of neural rendering ...

A research team led by Dr. David Helman from the Faculty of Agriculture, Food and Environment at the Hebrew University of Jerusalem has developed a novel machine learning model employing ...