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 ...

The composer and MIT professor Evan Ziporyn spent the first days of 2016 at an artists’ retreat in Florida. During the residency, he shared a house with another musician who was obsessed with David ...

DALLAS — In its latest Air Travel Statistics update, aviation data provider OAG reports that worldwide airline seat capacity has climbed to new highs in 2025, reflecting resilient consumer demand, ...

Abstract: Fault diagnosis is important to stable operation of power systems, and the machine-learning-based fault-diagnosis models were widely studied because of their strong generalization ability.

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 ...

“For the hashtag explorer, we wanted to let readers dig into their own TikTok niche. The ‘opposite’ hashtags, or ones that are most negatively correlated with your selected one, are also a fun way to ...