Abstract: Physics-Informed Neural Networks (PINNs) have recently emerged as a powerful method for solving differential equations by leveraging machine learning techniques. However, while neural ...
Abstract: This work proposes a novel sensing channel estimation method for integrated sensing and communication (ISAC) systems based on diffusion models and the Schrödinger bridge. The channel ...
ODEBench is a benchmark for system identification, consisting of 63 different Ordinary Differential Equations systems (ODE). Each system comes with a reference, parameter values, and two sets of ...
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Simulations unveil the electrodynamic nature of black hole mergers and other spacetime collisions
Gravitational waves are energy-carrying waves produced by the acceleration or disturbance of massive objects. These waves, ...
Key data is currently not available. Data Disclaimer: The Nasdaq Indices and the Major Indices are delayed at least 1 minute. *Data is provided by Barchart.com. Data reflects weightings calculated at ...
Noise-induced synchronization is known in classical systems and has recently been proposed in quantum many-body settings. Here, the authors experimentally demonstrate stable and entangled synchronized ...
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AI System Developed at NYU Tandon Can Spot Fires in Seconds Using Ordinary Security Cameras
A team of researchers at NYU’s Tandon School of Engineering has built an AI-powered fire detection system that can identify flames and smoke in real-time, using nothing more than the standard CCTV ...
At the HOT ROD How-To section, you’ll learn how to make improvements to your own special hot rod, drawing from the DIY knowledge of the HOT ROD team to learn more about how-to make more power from ...
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