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Abstract: This paper proposes a novel, optimization-oriented strategy for the design of broadband, high-efficiency power amplifiers (PAs) using Bayesian optimization (BO). The optimization algorithm ...

Abstract: In this work, we propose a framework for adapting the controller's parameters based on learning optimal solutions from contextual black-box optimization problems. We consider a class of ...

Reference: Garrido Torres, Jose A.; Lau, Sii Hong; Anchuri, Pranay; Stevens, Jason M.; Tabora, Jose E.; Li, Jun; Borovika, Alina; Adams, Ryan P.; Doyle, Abigail G. "A ...

US-based Food System Innovations (FSI) has launched its Food Intelligence Lab to build an open-source AI infrastructure that ...

Explore how AI transforms crash tests and factory design, enhancing safety, efficiency, and innovation in automotive manufacturing.

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

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Neither Sakana AI nor its external AI service providers will use customer data or inputs for model training or fine-tuning unless the client provides explicit opt-in consent.

THE American Thoracic Society (ATS) International Conference 2026, held in Orlando, Florida, USA, May 15–20, united the pulmonary medicine community for a week of discussion on the latest data, ...