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A surprisingly easy way to multiply an AI model’s profit is to drive decisions via expected value instead of predictive scores. Here's how, illustrated with fraud detection.

Abstract: This study introduces an Adaptive Model Predictive Control (AMPC) framework for intelligent trajectory planning in autonomous vehicles navigating complex and dynamic highway environments.

For AI models, there are currently no safety rules that govern the path of actions, which can leads to unanticipated consequences.

AI-enabled research tools can accelerate health research, but their data-science roots may clash with epidemiological ...

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 process of continually tracking equipment and asset health gives operations a foundation for establishing predictive maintenance strategies by enabling early detection of potential issues before ...

For nearly a decade, the idea that “the body keeps the score” has shaped public and clinical understanding of trauma (van der Kolk, 2014). It is an enticing metaphor—implying that experience is ...