In order to find the minimizer of Ⅼ using gradient descent with fixed stepsize, we create a function called gd. This function takes the arguments: start, f, gradient, step_size, maxiter, and tolerance ...

Abstract: Convolution neural networks (CNNs) have been extensively used in machine learning applications. The most time-consuming part of CNNs are convolution operations. A common approach to ...

Already registered? Click here to login now. Linear electromagnetic devices — such as linear motors, generators, actuators, and magnetic gears — play a vital role in precision motion control, energy ...

TL;DR: ASUS has officially introduced the Level Sense feature to prevent GPU sag by using sensors to monitor whether the board is sagging in real-time, and warn the owner if this is happening. This ...

Nothing’s original Glyph Interface was the perfect level of gimmick — it added a bit of flair to the back of its first few phones, but always felt like it had a purpose. I trusted it for everything ...

The importance of using reward-based methods to train dogs is widely known, yet some people still use aversive methods. By definition, both reward-based and aversive methods work to change behavior, ...

Hi, thanks for your great work on Transformer Engine! I am working on a project that requires high-performance batched matrix multiplication (i.e., 3D tensor multiplication) where all inputs are ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Implementations of matrix multiplication via diffusion and reactions, thus eliminating ...

ABSTRACT: Purpose: To introduce a practical method of using an Electron Density Phantom (EDP) to evaluate different dose calculation algorithms for photon beams in a treatment planning system (TPS) ...