A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Integrating edtech learning strategies into classrooms brings sustainability and enhanced learning experiences to the ...
Abstract: Soft slender robots have attracted more and more research attentions in these years due to their continuity and compliance natures. However, mechanics modeling for soft robots interacting ...
LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...
Hubei Key Laboratory of Petroleum Geochemistry and Environment (Yangtze University), Wuhan 430100, China School of Resources and Environment, Yangtze University, Wuhan 430100, China Hubei Key ...
Abstract: This study addresses the challenges of high-frequency modeling in electrical drive systems, particularly considering the influence of the test bench environment. A universal grey-box ...
Image caption: The Argo program collects data vital to global weather forecasting and developing seasonal scale forecasts like El Niño and La Niña, for producing drought forecasts across the U.S., and ...
Researchers at Cornell University in the U.S. have developed a novel optimization model for agrivoltaic site design and benefits, which was demonstrated using irrigation-optimization relative to ...
A new technical paper titled “Modeling and Simulating Emerging Memory Technologies: A Tutorial” was published by researchers at TU Dortmund, TU Dresden, Karlsruhe Institute of Technology (KIT) and FAU ...
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