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 ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

Financial crime risk is not static. A customer’s risk profile can shift rapidly with new transactions, behaviors, or data. Yet historically, many financial institutions relied on one-time or ...

Glucopilot dynamic dosing algorithm improved glycemia management, especially among patients with diabetic ketoacidosis, sepsis, and steroid use. SAN FRANCISCO — Using patient-specific data, the ...

Credit: Getty Images Researchers conducted a retrospective analysis to assess hypoglycemia rates among patients receiving IV insulin through a dynamic dosing algorithm. Glucopilot dynamic dosing ...

Gestational diabetes mellitus (GDM) is a common pregnancy-related disorder with potential impacts on the fetoplacental unit. To uncover the underlying molecular mechanisms, we conducted a ...

The Integrative Bioinformatics section is dedicated to publishing research focused on advancing the understanding and application of integrative bioinformatics in life sciences. This Topic brings ...

Abstract: This article develops a fully decentralized approximate dynamic programming (FD-ADP) algorithm for stochastic energy management (SEM) of a networked microgrid (NMG) system. First, ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...