Kalshi and Polymarket say their prediction markets are not subject to gambling laws and taxes. The casino industry is lobbying to shut them down as a wave of court cases take on the question. By Ian ...

Prediction markets are quickly shifting from a niche sideline to an emerging asset class, with monthly volumes around $10 billion, said U.S. bank Citizens. Though tiny next to the more than $10 ...

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!

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...

This study aimed to develop a hybrid deep learning model for classifying multiple fundus diseases using ultra-widefield (UWF) images, thereby improving diagnostic efficiency and accuracy while ...

This repository contains the implementation of a robust multi-task learning model designed to analyze images for air quality. The model simultaneously performs two tasks: Binary Classification: It ...

Research Center for Safety Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan Environment, Health & Safety Office, Nagoya University ...

Association of clinical characteristics with the use of proteomic testing for lung nodule malignancy risk stratification at a safety-net hospital. This is an ASCO Meeting Abstract from the 2025 ASCO ...

Abstract: Hyperspectral image (HSI) classification involves assigning unique labels to each pixel to identify various land cover categories. While deep classifiers have achieved high predictive ...