Researchers have developed a compact, low-cost convolutional spectrometer that delivers lab-grade precision for applications ...

What is a crash? It is the collapse of that belief. AI has given rise to two bubbles. There is a stock market bubble – the ...

Soft robotics continues to push beyond the constraints of rigid mechanisms, offering adaptable solutions for grasping, ...

Abstract: Data-driven process monitoring has benefited from the development and application of kernel transformations, especially when various types of nonlinearity exist in the data. However, when ...

Abstract: Subsampled blind deconvolution is the recovery of two unknown signals from samples of their convolution. To overcome the ill-posedness of this problem, solutions based on priors tailored to ...

DBB is a powerful ConvNet building block to replace regular conv. It improves the performance without any extra inference-time costs. This repo contains the code for building DBB and converting it ...

This Research Topic is closed for submissions. Learning about the natural world requires observation and recognizing patterns from which hypotheses and inferences are made to guide various decisions.

From The Matrix to tangled wizard wars, these trilogies buried great ideas under lore, retcons, and endless explanations.

Abstract: Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiating ...

This suggests that future work could continue to improve both the data and model levels—for example, by incorporating more real-world plant inspection samples to enhance cross-scene generalization, ...

For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...