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Discrete spatial diffusion models data while obeying scientific principles

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
IEEE

Online Co-Estimation of the State-of-Health, State-of-Charge, and Remaining-Useful-Life of Lithium-Ion Batteries Using a Discrete Capacity Loss Model

Abstract: The main objectives of a battery management system (BMS) are to monitor the state-of-charge (SoC) and state-of-health (SoH) of lithium-ion batteries (LIBs). Due to their coupled nature, the ...
eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
IEEE

Tube-Based Model Predictive Control for Linear Discrete Time Systems with State Delay and Bounded Disturbances

Abstract: This paper proposes a tube-based model predictive control algorithm for linear discrete time systems with state delay and bounded disturbances to ensure input-to-state stability. Firstly, we ...

Marine regression emerges as key driver of Late Paleozoic Ice Age in high-resolution model

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

New White Paper Identifies the ‘Echo Penalty™’ as a Fundamental Limiting Principle in Plasma Systems

Public Disclosure by Independent Researcher Challenges Long-Standing Assumptions About Plasma Sustainment and Efficiency This paper argues that the persistent failure of sustained plasma systems is ...

Nvidia's physical AI models clear the way for next-gen robots - here's what's new

To drive that momentum forward, Nvidia unveiled new open Nvidia Cosmos and GR00T models during its Las Vegas keynote event on Monday. The company stated that these models are designed to enable ...