Abstract: Increasing data complexity in clinical decision-making processes hinders physicians’ ability to make rapid and accurate decisions. This study proposes an innovative solution to this problem ...

See how Langraph powers a multi-agent stock sim with configurable rounds and models, helping you compare trade plans without ...

Objectives We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons. Design We developed a semistochastic transmission model of COVID-19.

We present Agent Lightning (opens in new tab), a flexible and extensible framework that enables seamless agent optimization for any existing agent framework. Here agent optimization includes various ...

Abstract: This paper presents an agent-based simulation model with cognitive elements, developed to explore strategies for managing complex projects under uncertainty. The model was implemented using ...

U.S.-listed cryptocurrency exchange Coinbase (COIN) has unleashed the latest version of its stablecoin-based payments protocol for AI agents, making it easier to extend and plug in the autonomous ...

Reconfigurable lumped elements of resonant structures significantly impact resonant behavior. Full-wave simulations are expensive and time-consuming. Electromagnetic co-simulation provides an ...