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

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 ...

The best tech products announced this week include Sony's noise-canceling headphones and Audio-Technica's stunning turntable.

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

Internal Research Fellow (PostDoc) in Computer Science and Applied Mathematics Directorate: Technology, Engineering and Quality ...

The Transformer architecture powering many of today’s most capable large language models ... state” to represent past information, allowing sequence processing potentially in linear time ...

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 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 ...

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”.

To address these challenges, we propose a novel point cloud video understanding backbone purely based on the State Space Models (SSMs). Specifically, we first disentangle space and time in 4D video ..

can be regarded as discrete homologues of deep convolutional neural networks or continuous state-space models in generalised coordinates of motion. By construction, these scale-invariant models can be ...