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, ...
Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan ...
Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...
At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could ...
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, ...
From 1080p to 8K and more, here's what all the TV resolutions mean for you.
In this article we explore how AI improves hurricane forecasts, weigh the advantages and drawbacks, and look ahead to the ...
Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans ...
Abstract: In this communication, a novel deep learning (DL)-based solver is proposed for the electromagnetic forward (EMF) process. It is based on the complex-valued deep convolutional neural networks ...
You will be redirected to our submission process. Deep and ultra-deep hydrocarbon reservoirs have become increasingly prominent targets in global oil and gas exploration following rapid technological ...
Abstract: In this paper, we present a novel approach for 3D dental model segmentation via deep Convolutional Neural Networks (CNNs). Traditional geometry-based methods tend to receive undesirable ...
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