According to Google, this system not only consistently reaches expert levels but often surpasses human capabilities. In ...

Behavioral data helps us understand what drives users to a search, where they carry it out, and what points of friction might ...

The Japanese AI laboratory Sakana AI has developed a new evolutionary algorithm called "Natural Ecological Niche Model Fusion" (M2N2), which enables developers to enhance AI model capabilities without ...

Abstract: The Aircraft Landing Problem (ALP) involves optimizing the scheduling of flight arrivals and departures while simultaneously managing airport resources to maximize flight utilization, ...

Researchers at Ruhr-Universität Bochum are hoping to use neutrinos to pinpoint the sources of cosmic radiation. New algorithms developed in Bochum are aiding this search and have also helped to ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...

Abstract: In this paper, the problem of single-vehicle trajectory planning in self-driving cars is studied in an in-depth way, aiming at improving the safety and efficiency of self-driving by modeling ...

A controversial algorithmic age assurance system that Google has launched on YouTube is reportedly also being incorporated into the company’s tentpole search engine. The age check tool uses machine ...