Pressed by businesses, interest groups and governments, the internet giant uses blacklists, algorithm tweaks and an army of contractors to shape what you see.

Line-Search Methods In each iteration k, the (dual) quasi-Newton, hybrid quasi-Newton, conjugate gradient, and Newton-Raphson minimization techniques use iterative line-search algorithms that try to ...

This paper proposes an improved cuckoo search (CS) algorithm combining nonlinear inertial weight and differential evolution algorithm (WCSDE) to overcome the shortcomings of the CS algorithm, such as ...

A search algorithm is a massive collection of other algorithms, ... It’s important to understand how algorithms function to apply context to what you’re experiencing/reading.

Scientists have developed a theoretical algorithm to accurately calculate the average distance traveled by low-energy/low-speed electrons without energy loss that are sensitive to the surface ...

Person re-identification is a hot topic in computer vision, and the loss function plays a vital role in improving the discrimination of the learned features. However, most existing models utilize the ...

Loss functions measure algorithmic errors in artificial-intelligence models, but there’s more than one way to do that. ... AI under the microscope: the algorithms powering the search for cells ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that their research and development team has improved the stability and practicality of the algorithm by optimizing ...

The Dice loss function is widely used to train deep learning algorithms in medical segmentation tasks. However, in multi-class segmentation tasks, the Dice loss function can result in imbalanced ...