Artificial intelligence is mastering the kinds of projects that have long helped to build the careers of young mathematicians ...

Companies are shifting from running everything on the most powerful AI model to matching each task to the right one, a ...

An experiment carried out by Riesenhuber and colleagues has revealed that the brain has a workaround that can be activated ...

Students study on machines built for study and interruption. The same laptop can hold a lecture slide and a video clip. The ...

Abstract: Multiagent dynamic task assignment of forest fires is a complicated optimization problem because it requires the consideration of multiple factors, such as the spread speed of fires, ...

The conversation on most campuses has become consumed with detection: How do we catch students using AI when they shouldn't? The impulse to protect academic integrity is legitimate, but the ...

Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are ...

Abstract: Obtaining a multiresource allocation scheme for multitask influenced by uncertain factors is a critical problem in a collaborative logistics network. This paper presents an optimal ...

Manitoba needs to establish a specialized task force to deal with the fallout from the epidemic of drugs, an inquest judge said after looking into the death of a man who had swallowed a lethal ...

You may not think to call a maintenance professional before something malfunctions, but this method isn’t in your—or your home's—best interest. With just some careful planning, you can prevent both ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has become crucial for enhancing mission success rates.