Lawmakers Press to Limit Prediction Bets by Policymakers

New bills aim to crack down on prediction-market bets by the president and members of Congress. By Megan Mineiro Reporting ...
Analytics Insight

Top 10 Must-Know Python Libraries for Data Science in 2026

Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
Analytics Insight

10 Innovative Data Science Projects Shaping the Future in 2026

Overview:  Data science projects are driving innovation across industries like healthcare, finance, and climate science.AI ...
IEEE

Implicit Layer-Empowered Deep Learning Networks for 6G Adaptive Channel Estimation

Abstract: Research on sixth-generation (6G) wireless networks has gained significant attention as wireless communications technologies advance. In the upcoming 6G era, artificial intelligence (AI) is ...
GitHub

What is Deep Learning?

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...
IEEE

Utilizing Radiomics and Deep Learning to Predict Post-Contrast Information From Contrast Agent-Free Cine Cardiac Magnetic Resonance Imaging

Abstract: Differentiating myocardial scar tissue from healthy myocardium and imaging artifacts is essential in clinical practice. This study investigates the feasibility of using radiomics and deep ...