Located in China, Juno is a 17-country collaboration that will try to detect neutrinos and antineutrinos to learn more about ...
The Cabot Professor of Mathematics sat down with Fifteen Minutes to discuss life lessons from mathematics, the challenges of ...
In a recent Nature study, scientists have demonstrated an electrically driven perovskite laser using a dual-cavity design, ...
Engineers created multi-layer metalenses that focus several wavelengths. The design could revolutionize portable optical ...
Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
Abstract: Deep neural networks (DNNs) have been applied to address electromagnetic inverse scattering problems (ISPs) and shown superior imaging performances, which can be affected by the training ...
We also prove that the two sets of Maxwell equations only depend on the non-linear elations of the conformal group of ...
Codes for the paper: FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames. Preprint version: https://arxiv.org ...
What makes the human brain special in the AI era? The answer lies in the way it changes when we start working in ...
AI systems are already beginning to help with research that only a handful of humans understand in the first place. In a ...
Professor Zhou's team provides a rigorous theoretical foundation in their paper. They demonstrate that a specific form of offline Inverse Reinforcement Learning (IRL) reward function can be recovered ...
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