Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how ...
The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that sparked concern from privacy and technology safety advocates.
Reusable AI application models enable organizations to apply predictive insights across multiple customer scenarios.
Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...
Abstract: This paper is concerned with the issue of model predictive control (MPC) for a class of stochastic hybrid singular systems, where a semi-Markov kernel orchestrates the switching among the ...
Google's Project Genie may prove that world models matter more than LLMs for defense. The military that masters physics simulation first gains decisive advantage.
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