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, ...

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 ...

The code was written under Windows 10 with Visual Studio and CUDA 10.0 and Python 3.6. For the python requirements, see SuperresolutioNetwork\Requirements.txt. The network will run (probably) platform ...

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 ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Computer Vision (CV) has evolved rapidly ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Spectroscopic methods─like nuclear magnetic resonance, mass spectrometry, X-ray ...