HAWKs is intersecting childhood enrichment, youth mental wellness and environmental stewardship bringing children back to the ...

An AI-powered approach hospital operations optimizes staffing and patient flow, addressing financial and staffing challenges in health systems.

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...

In a groundbreaking study, UC Santa Cruz researchers have shown that developing brain tissue exhibits spontaneous activity ...

KIRO, a modern chiropractic and wellness studio based in Midtown East, has received notable recognition from patients across New York City for its professionalism, consistency, and patient-centered ...

Abstract: This article investigates the distributed control problem for nonlinear multiagent systems (MASs) with unknown system models. A novel distributed model-free adaptive learning algorithm is ...

This study is a valuable contribution to the field of neuronal modeling by way of providing a method for rapidly obtaining neuronal physiology parameters from electrophysiological recordings. The ...

Version of Record: This is the final version of the article. Developing biophysically detailed computational models that accurately capture the characteristic physiological properties of neurons ...

KIRO, a modern chiropractic and wellness studio recognized for its patient-centered approach to spinal health, has announced the expansion of its services to reach additional communities across New ...

Husky Elijah Nieman is seeking the sweet spot between human adaptability and artificial intelligence's tirelessness. The Michigan Technological University researcher is studying AI decision-making ...

Throughout their development, animals of various taxa go through different larval stages, which have evolved adaptations to interact with specific environments. Larval nervous systems in particular ...

Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...