Morning Overview on MSN

AI uncovers 1,300+ weird anomalies in 30 years of Hubble data

Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.
News-Medical.Net

Data-driven modeling uncovers dynamic genome folding in three dimensions

Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...

AI finds over 800 anomalies in Hubble photos, dozens defy explanation

A neural network has discovered over 800 anomalies in old Hubble images, primarily unusual galaxies. Dozens of findings defy ...

Framework sets new benchmarks for 3D atom maps in amorphous materials

Researchers at the California NanoSystems Institute at UCLA published a step-by-step framework for determining the ...

Data-driven 3D chromosome model reveals structural and dynamic features of DNA

Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...
IEEE

Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data

Abstract: Brain structural magnetic resonance image (MRI) is a very useful way to learn about the structure and function of the brain. For doctors, finding and classifying brain tumor (BT) is a ...
IEEE

Research on Image Data Classification Algorithms Based on Deep Learning

Abstract: This paper presents an image data classification algorithm based on deep learning. By integrating a Convolutional Block Attention Module (CBAM) into the ResNet-50 backbone, we form an ...