At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

Stanford's DeLM lets AI agents coordinate without a central controller, cutting multi-agent inference costs 50% and beating ...

Abstract: Existing power system resilience enhancement methods, such as proactive generation rescheduling, movable sources dispatch, and network topology reconfiguration, do not explore the capability ...

Zapier reports that AI agent evaluation is crucial for ensuring reliable performance in real-world scenarios, identifying ...

Olivier Elemento is in the Englander Institute for Precision Medicine, Department of Systems and Computational Biomedicine, Weill Cornell Medicine, New York City 10021, USA. The studies build on ...

Abstract: In this article, the optimal leader-following consensus control problem of multi-agent systems is solved using a novel neural network-based (NN-based) integrated heuristic dynamic ...

Kilpatrick of Google Deepmoind is claiming what we historically thought of as "the model" is no longer just weights — it's a ...

Artificial intelligence has evolved rapidly from simple conversational interfaces to proactive problem-solvers known as AI ...

Learn how to move enterprise AI agents from copilots to production with secure runtimes, trusted data, governance, ...

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