In the intricate world of quantum physics, where particles interact in ways that seem to defy the standard rules of space and time ... moving from an ordered state to a disordered one, not ...

LinOSS combines biological inspiration with state-space modeling, delivering exceptional performance on long sequences ...

This important study provides evidence for asymptomatic Bordetella pertussis carriage among mothers in a longitudinal cohort in Zambia, significantly advancing understanding of transmission dynamics.

Nuria Catalan Lasheras and Igor Syratchev explain why klystrons are strategically important to the future of the field – and ...

Multi-Source Information Fusion, Greenhouse, Navigation, Algorithm Verification, Sensor Fusion Share and Cite: Guo, Z. (2025) ...

AI often struggles with analyzing complex information that unfolds over long periods of time, such as climate trends ... and Daniela Rus have developed what they call "linear oscillatory state-space ...

In the present paper, we applied Switching Linear Dynamical Systems to uncover the dynamics of threat processing during a continuous ... At a given time, a single state is considered to be “active”.

AI often struggles with analyzing complex information that unfolds over long periods of time, such as climate trends ... and Daniela Rus have developed what they call "linear oscillatory state-space ...

We present the rationale for using SMILES as the output notation of the recurrent neural network and compare its performance with models trained to ... The latent space of this VAE model provides a ...