Convolution operations are fundamental to Convolutional Neural Networks (CNNs), which are widely used in applications such as video compression and image recognition. However, these operations are ...

Abstract: Rich natural resources such as fertilizers, environment, groundwater, rivers, and land are abundant in many countries. Agriculture is the primary source of income for the people living in ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Jaeger-LeCoultre’s Reverso was first released in 1931, but it is a product of an era that began six years earlier and continues to define the iconic watch today. To honor the centennial of the 1925 ...

Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...

I found that something was wrong in the Convolutional Tsetlin Machine. When the CTM deals with rectangular input/kernel, it uses a transposed kernel for convolution ...

When compiling the sample code for examples/16_ampere_tensorop_conv2dfprop/ampere_tensorop_conv2dfprop.cu, it fails with the following error message. Any other ...

Hackers are actively exploiting a pair of recently discovered vulnerabilities to remotely commandeer network-attached storage devices manufactured by D-Link, researchers said Monday. Roughly 92,000 ...