Ensuring the reliability of deep neural networks (DNNs) is paramount in safety-critical applications. Although introducing supplementary fault-tolerant mechanisms can augment the reliability of DNNs, ...

To solve the time-variant Sylvester equation, in 2013, Li et al. proposed the zeroing neural network with sign-bi-power function (ZNN-SBPF) model via constructing a nonlinear activation function. In ...

In the hippocampus, a critical brain region for learning and memory, new cells emerge in some people into late adulthood, ...

A study in the journal Science presents compelling new evidence that neurons in the brain's memory center, the hippocampus, ...

The proposed method first converts the level sets corresponding to the micro-Doppler signature into contour point clouds using the MATLAB embedded contour () function. Secondly, the point cloud and ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.