Researchers have developed two algorithms to help fleets of drones inspect electricity infrastructure more efficiently, ...

Researchers at Lorestan University have combined ant colony optimization, reinforcement learning, and opposition-based ...

This is the fifth installment of the mathematics series. In the first article, “Fermat Test — Another Principle of Primality ...

NRDLC, a unified framework that removes noisy labels and selects informative features simultaneously for partial multi-label ...

An international team of scientists from the University of Luxembourg, Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin and Google has now successfully developed a ...

Linear programming (LP) is a mathematical optimization technique used to maximize or minimize a linear objective function subject to a set of linear constraints. The Simplex Method, developed by ...

Muography is a powerful, non-invasive tool that can use cosmic-ray muons to image structures underground. Transmission ...

Researchers from the University of Science and Technology of China (USTC), led by Prof. Liu Qi, in collaboration with Harvard Medical School's Marinka Zitnik lab, have developed a novel deep ...

A quantum-resistant cryptography algorithm that was under consideration as an official US standard has been taken out of the running after an Anthropic security model helped find a flaw that rendered ...