The technology introduces a traceable, multi-model system designed to support pilots and flight operators using established ...
As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...
The thermometer reads 95°F (35°C) in Brooklyn, and vulnerable individuals need information to take appropriate action. New York City officials must gather facts quickly to provide updates on cooling ...
Successful industrial AI implementation depends on establishing a strong foundation of data quality, process understanding ...
Abstract: In this article, we present analytic solutions for model predictive control (MPC) applied to the current control of surface-mounted permanent magnet synchronous motor drives. A key challenge ...
Abstract: We present a sampling-based model predictive control method that uses a generic physics simulator as the dynamical model. In particular, we propose a Model Predictive Path Integral ...
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