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 ...

Abstract: Domain generalization, focusing on training neural networks that generalize well to unseen target domains, is a critical challenge in machine learning. While most existing approaches rely on ...

Abstract: The morphological undecimated wavelet (MUW) is an efficient feature extraction algorithm for bearing fault diagnosis. Currently, the researched MUW is mainly focused on background noise ...

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 ...

Enjoy the pain I go through so you don't have to worry about being caught cheating (hopefully) Report any bugs, issues, detections or ideas to me on Discord (NoTwistedHere#6703) or GitHub ...