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: Graph Convolution Networks (GCNs) have achieved remarkable success in representation of structured graph data. As we know that traditional GCNs are generally defined on the fixed first-order ...

Mathematics be a tricky subject, and many students struggle to get the hang of it, finding it difficult to solve problems and equations in class. It requires a special sort of attention that one can’t ...

Abstract: We propose 3D convolution and adaptive patch-size based random patches network (RPNet), called 3DA-RPNet, for classification of hyperspectral images (HSI). Recently proposed RPNet randomly ...

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 ...

Trigger Warning: This article contains references to self-harm, sex abuse, and substance use. Reader's discretion is advised. LA County Medical Examiner’s online records confirmed that Ransone died by ...