Abstract: Aiming at the challenge of selecting state variables in continuous-time state-space modeling, the discrete-time state-space model of a doubly-fed induction generator (DFIG) based wind farm ...

Abstract: Epileptic seizure detection is a challenging task due to the severe imbalance between background activity and seizure EEG data. To address this problem, we propose the DSDM-EEG framework, a ...

Architecture is often evaluated through what gets built. But in many cases, what matters happens after: how spaces are used, adapted, and made part of everyday life. For Región Austral, winner of ...

Fig 1. (Top) Generative model of Neural Continuous-Discrete State Space Model. (Bottom) Amortized inference for auxiliary variables and continuous-discrete Bayesian inference for states. This ...

COLORADO SPRINGS — The U.S. military’s top space commander is pressing for a fundamental shift in how the Pentagon thinks about satellites — from fixed infrastructure to maneuvering assets that can ...

Astronauts floating in space using what looks like “old tech” might sound bizarre at first. But as it turns out, there’s a very practical reason behind it. And no, it’s not because NASA is stuck in ...

The ability to anticipate future events continuously is a hallmark of biological vision, yet standard deep learning models often struggle with long-term coherence due to the rigid discretization of ...

The Texas Longhorns battle the North Carolina State Wolfpack in a 2026 First Four matchup on Tuesday night. The winner will be the 11th seed and will face sixth-seeded BYU on Thursday. Texas is coming ...

The Artemis 2 astronauts — from left to right, Canadian Space Agency mission specialist Jeremy Hansen, pilot Victor Glover, commander Reid Wiseman and mission specialist Christina Koch — attend the ...

A NASA astronaut aboard the International Space Station carried out the experiment. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

PyTorch implementation of "Train for the Worst, Plan for the Best." Investigating adaptive token ordering in Masked Diffusion Models (MDMs) to sidestep hard subproblems and elicit reasoning in ...