In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...
Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...
Hydrogen production through water electrolysis is a cornerstone of the clean energy transition, but it relies on efficient and stable catalysts that work under acidic conditions—currently dominated by ...
Molecular vanadium cluster on carbon nanotubes switches between oxygen and hydrogen production in acid, depending on assembly, offering a path beyond iridium and platinum. (Nanowerk News) Hydrogen ...
Compounds in green tea can reprogram muscle metabolism to boost insulin sensitivity and glucose tolerance, according to new findings that further our understanding of why this ancient drink has long ...
“Green and red grapes are very similar in calories, carbohydrates, fiber, and vitamins. The main difference lies in their antioxidant content,” says Kathleen Garcia-Benson, R.D.N., C.S.S.D., L.D., a ...
Convolution is a remarkable property of the Fourier transform, often cited in the literature as the “faltung theorem”. Convolution is a remarkable property of the Fourier transform, often cited in the ...
John Green is the author of the mega-best-selling “The Fault in Our Stars.” He’s also a YouTuber, reaching an audience of millions alongside his brother Hank Green on their Vlogbrothers channel. John ...
A windowed sinc function can implement a low-pass filter, and a two-dimensional convolutional filter can blur or sharpen images. In part 3 of this series, we introduced a low-pass filter based on the ...
A windowed sinc filter outperforms a moving-average filter in the frequency domain. Figure 1. The ideal filter X(f) in the frequency domain has a gain of 1 and a cutoff frequency fC. This result is in ...
Motivation: Predicting the response of cell lines to characteristic drugs based on multi-omics gene information has become the core problem of precision oncology. At present, drug response prediction ...
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