Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

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 ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
IEEE

An Efficient FPGA Implementation of Spiking Neural Networks for N-MNIST Classification

Spiking Neural Networks (SNNs) have emerged as a promising alternative to conventional Artificial Neural Networks (ANNs) due to their event-driven computation and potential for low-power processing.
IEEE

Class-Aware Consistency Learning for Open-Set Semi-Supervised Hyperspectral Image Classification

Abstract: Semi-supervised hyperspectral image (HSI) classification methods focus on exploring the spectral and spatial information of unlabeled samples. However, existing methods generally follow the ...
Yahoo

CNN’s data guru astounded by Donald Trump’s collapse with his own party on major issue

Add Yahoo as a preferred source to see more of our stories on Google. CNN’s Harry Enten was gobsmacked by how dramatically Republicans have swung against Donald Trump when it comes to inflation. “Now ...
Newsweek

How Data Centers Are Set To Impact The Value of Your Home

See more of our trusted coverage when you search. Prefer Newsweek on Google to see more of our trusted coverage when you search. At the edge of towns and farmland across the U.S., windowless buildings ...