Morning Overview on MSN

17-year-old builds AI tool to speed malaria and blood-disease diagnosis

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
Hosted on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
IEEE

Developing a Python-Based Framework for Eye Disease Classification Using Machine-Deep Learning Techniques for Enhanced Diagnosis

Abstract: Elderly eye conditions are a serious health issue. As people age, their eye tissues' ability to function normally declines, and the prevalence of ocular disease rises. People with a personal ...
GitHub

Image Classification with Neural Networks in Python

This project demonstrates image classification using Convolutional Neural Networks (CNNs) in Python with TensorFlow and Keras, trained and tested on the CIFAR-10 dataset. The CIFAR-10 dataset consists ...
GitHub

galaxy-classification

SDSS telescopes have captured over 40 TB worth of galaxy images and classification of these images is the first step towards obtaining a deeper understanding of physical processes within them, star ...