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 ...

Abstract: Recently, hypergraph convolutional networks (HGCNs) have shown considerable potential in hyperspectral image (HSI) classification for their superiority in capturing the complex many-to-many ...

Abstract: The volume of multisource remote sensing (RS) data has grown significantly, making the integration of such data a critical focus in Earth observation research. Although multisource data ...

A team at the University of Florida has developed a new kind of computer chip that uses light with electricity to perform one of the most power-intensive parts of artificial intelligence—image ...

Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...