Now, scientists from MIT and elsewhere have developed a new photonic chip that overcomes these roadblocks. They demonstrated ...

A new photonic chip designed by MIT scientists performs all deep neural network computations optically, achieving tasks in ...

A photonic chip uses light to run a deep neural network on a chip, enabling fast processors that can learn instantly.

The announcement of the artificial intelligence researchers John Hopfield and Geoffrey Hinton as this year’s Nobel laureates ...

This groundbreaking contribution is a testament to Miikkulainen’s lasting impact on the field of neural networks, a legacy ...

This study provides valuable insights into the differential impact of intrinsic and synaptic conductances on circuit robustness, emphasizing intrinsic plasticity as a crucial but often overlooked ...

Artificial neural networks reshape how we predict ... tansig, and logsig activation functions. The analysis was based on architecture, inputs/outputs, regions, activation functions, and training ...

But in addition to these linear operations, deep neural networks perform nonlinear operations that help the model learn more intricate patterns. Nonlinear operations, like activation functions ...

Activation of neural stem cells or their transplantation into areas of central nervous system injury can lead to regeneration in animal models. This paper develops two approaches for multiplexing ...