AI can design and run thousands of lab experiments without human hands. Humanity isn't ready

Artificial intelligence is rapidly learning to autonomously design and run biological experiments, but the systems intended ...
IEEE

Optimizing Loss Functions in Conditional GANs for Astronomical Image Deconvolution: A Comparative Study at Varied Epochs *

Abstract: This study explores the optimization of loss functions in conditional Generative Adversarial Networks (cGANs), specifically the pix2pix model, for the deconvolution of astronomical images ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...