Coherent diffractive imaging (CDI) is a state-of-the-art imaging technique that uses diffraction from a coherent beam of light or electrons to reconstruct an image of a specimen without the need for ...
Recent advances in artificial intelligence have transformed biomedical sensing and imaging, yet many data-driven models remain limited by poor ...
Lithium-Ion Batteries (LIBs) are widely deployed across various domains, including electric vehicles (EVs), renewable energy storage, aerospace systems, and portable electronics, owing to their high ...
Computational imaging techniques are growing more popular, but the large number of measurements they require often lead to slow speeds or damage to biological samples. A newly developed ...
Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...
Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...
A new publication from Opto-Electronic Advances, 10.29026/oea.2024.230034 discusses how the synergy of traditional techniques and deep learning enables single-frame high-precision fringe pattern ...
Rose Yu has a plan for how to make AI better, faster and smarter — and it’s already yielding results. When she was 10 years old, Rose Yu got a birthday present that would change her life — and, ...
The knowledge-informed deep learning (KIDL) paradigm, with the blue section representing the LLM workflow (teacher demonstration), the orange section representing the distillation pipeline of KIDL ...
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