Abstract: Model-free predictive control (MFPC) has become a popular choice for addressing the robustness limitations of model-based predictive control (MBPC), by replacing physical models with ...
We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, ...
If you’re looking to get into the tech world, especially if you’re interested in what the it companies in Detroit are up to, ...
The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...
State of Automotive Software Development Report. The transition of the automobile from a mechanical marvel to a sprawling, intricate digital landscape has reached a volatile ...
Jon covers artificial intelligence. He previously led CNET's home energy and utilities category, with a focus on energy-saving advice, thermostats, and heating and cooling. Jon has more than a decade ...
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 original version of this story appeared in Quanta Magazine. Here’s a test for infants: Show them a glass of water on a desk. Hide it behind a wooden board. Now move the board toward the glass. If ...
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