Imagine you are training an AI to play chess. Whenever it makes a wrong move, you point out the mistake and explain the reason. In the world of deep learning, the Loss Function plays a similar role.

By using parameterized quantum circuits and optimization techniques such as gradient descent, VQAs iteratively adjust quantum states to minimize a given loss function. In multidimensional pooling ...

The purpose of this paper is to present a new method to redesign dimensional and geometric tolerances of mechanical assemblies at a lower cost and with higher reliability. A parametric Jacobian-Torsor ...

This communication presents experimental research findings on the application of the flower pollination algorithm (FPA) and the African buffalo optimization (ABO) to implement the complex and fairly ...

In a recent Molecular Therapy: Nucleic Acids study, researchers demonstrate enhanced loss-of-function editing of clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated ...