Foundation AI model uses MRI data to predict multiple brain disorders

Artificial intelligence (AI) systems are computational models that can learn to identify patterns in data, make accurate predictions or generate content (e.g., texts, images, videos or sound ...

AI toolkit turns microscopy images into multi-feature microstructure datasets

A research team from The Hong Kong University of Science and Technology (HKUST) has developed GrainBot, an AI-enabled toolkit that automatically extracts and quantifies multiple microstructural ...

DENTAL TOURISM IN VIETNAM: SURGING DEMAND FROM AUSTRALIAN, U.S., AND UK PATIENTS SIGNALS NEW ERA AS GLOBAL LEADER

Medical Tourism Corporation Reports 79,000+ Annual Dental Tourists, 150%+ Australian Growth, 2× U.S. Demand Since Q2 ...
IEEE

Positive Data Augmentation Based on Manifold Heuristic Optimization for Image Classification

Abstract: Data augmentation is crucial for addressing insufficient training data, especially for augmenting positive samples. However, existing methods mostly rely on neural network-based feedback for ...
The New York Times

Musk’s Chatbot Flooded X With Millions of Sexualized Images in Days, New Estimates Show

Over nine days, Elon Musk’s Grok chatbot generated and posted 4.4 million images, of which at least 41 percent were sexualized images of women. By Kate Conger Dylan Freedman and Stuart A. Thompson ...
INSPIRE

Data augmentation in cancer image classification problem with quantum GAN

In this study, we explore a novel method leveraging quantum generative adversarial networks (QGANs) for data augmentation in cancer image classification tasks. We focus on the application of QGANs to ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...