Abstract: The application of deep learning has significantly accelerated magnetic resonance imaging (MRI). However, these methods encounter substantial challenges when fully sampled datasets are ...

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.

With very few exceptions that, as usual, only confirm the rule, no matter how fast a car is, the market eventually catches up to the hype around it. And that moment seems to have arrived for the ...

In the wake of the COVID-19 pandemic, the prevalence of online learning has only grown, transforming U.S. education and paving the way for new learning models and structures. Starting this school year ...

This video teaches a clean and fluid cardistry sequence focused on foundational movements. It’s designed to help you build flow and control while handling cards with style. Each move is broken down ...

Post by Dr. Anastasia Kitsantas, George Mason University. Choosing the right tutor is like choosing the right tool for the job. When parents and teachers think of tutoring, they often picture a ...

Abstract: We propose a self-supervised feature learning assisted reconstruction (SSFL-Recon) framework for MRI reconstruction to address the limitation of existing supervised learning methods.

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

Objectives: Oral cavity-derived cancer pathological images (OPI) are crucial for diagnosing oral squamous cell carcinoma (OSCC), but existing deep learning methods for OPI segmentation rely heavily on ...