Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
Frontiers

Deep Learning for Medical Imaging Applications

Artificial Intelligence (AI) is revolutionizing the dynamics of technological advancement in the field of medical imaging, ...
IEEE

The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models

Abstract: Text-to-image models such as Stable Diffusion, DALL•E, and Midjourney have gained immense popularity lately. However, they are trained on vast amounts of data that may include private, ...