Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have shown promising performance in tackling expensive multiobjective optimization problems (EMOPs). However, existing SAEAs solve EMOPs ...

Instead of assigning separate hardware blocks to individual operations, the technology allows one device to switch between and execute multiple tasks, effectively introducing a “multi-tasking” ...

Less than two decades after smartphones fit into the palm of our hands, artificial intelligence is now running on devices worn on our wrists. The challenge is that while devices continue to shrink, ...

Your brain is capable of learning to multitask without your realizing it, according to a new study. Subscribe to read this story ad-free Get unlimited access to ad-free articles and exclusive content.

New research by Georgetown scientists shows how the brain rewires itself to automate learned tasks. The findings challenge a long-held understanding of how humans master complex skills, suggesting ...

Summary: A new study has shattered the long-held scientific consensus regarding the human brain’s capacity to engage in true multitasking. The study demonstrates how the brain physically remodels its ...

Abstract: Multiobjective multitasking optimization (MTO) is an emerging research direction in the evolutionary computation community, which tries to solve multiple optimization problems concurrently ...