Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...

A new explainable deep learning framework could help greenhouse operators forecast crop yields and energy use more accurately while showing which environmental factors drive those predictions, ...

Several permanent members of the Security Council opposed the resolution, drafted by Bahrain in coordination with its Gulf neighbors, officials said. By Farnaz Fassihi and Vivian Nereim Farnaz Fassihi ...

Abstract: The task of image super resolution is crucial in many applications, such as computer vision and medical imaging. Conventionally, the task of image super resolution was carried out by ...

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 ...

Department of Chemistry, Hanyang University, Seoul 04763, Republic of Korea Department of Chemistry, Hanyang University, Seoul 04763, Republic of Korea Research Institute for Convergence of Basic ...

ABSTRACT: The development of artificial intelligence (AI), particularly deep learning, has made it possible to accelerate and improve the processing of data collected in different fields (commerce, ...

Researchers have demonstrated that a specific class of oxide membranes can confine infrared light much more effectively than bulk crystals, which has promising implications for next-generation ...

Abstract: Recently, deep-learning-based super-resolution methods have achieved excellent performances, but mainly focus on training a single generalized deep network by feeding numerous samples. Yet ...

The past few years have been filled with a seemingly endless stream of painful stories and images coming from across the globe, including the loss of more than 3 million people to the COVID-19 ...