Abstract: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...
Background Audit and feedback (A&F) interventions improve patient care but may result in unintended consequences. To evaluate plausible harms and maximise benefits, theorisation using logic models can ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
"Unlike Big Tech companies that collect and monetize user data, we treat privacy as an absolute right that cannot be ...
"Unlike Big Tech companies that collect and monetize user data, we treat privacy as an absolute right that cannot be compromised for profit or political pressure." ...
Abstract: This study proposes a convex model-based reduced-order model (CMBROM) method for uncertain linear control systems, which ensures the accuracy of the reduced-order model with small samplings.
Image generated with AI. Based on the architecture of Gemini 3, the new model text-to-image Google’s Nano Banana Pro ...
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