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, ...

Abstract: The dominance of transformer architectures in hyperspectral image (HSI) classification, driven by their self-attention mechanisms and multilayer perceptron (MLP), faces critical challenges ...

Abstract: Wireless interference recognition (WIR) techniques have proven to be effective anti-jamming solutions. With advancements in deep learning (DL), various DL-based methods have been explored ...

Explore how AI phenotypic screening transforms image-based drug discovery through advanced phenotypic data analysis and ...

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, ...

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could ...

In this article we explore how AI improves hurricane forecasts, weigh the advantages and drawbacks, and look ahead to the ...