Apple researchers have developed an AI model that dramatically improves extremely dark photos by integrating a diffusion-based image model directly into the camera’s image processing pipeline, ...

Aims To explore the clinical application of a novel swept-source anterior segment optical coherence tomography angiography (AS-OCTA) system for imaging corneal neovascularisation (CoNV), assessing ...

Abstract: One of the main causes of cancer-related deaths is lung cancer, and increasing survival rates requires early detection. The use of sophisticated machine learning (ML) algorithms to improve ...

This project presents an advanced image compression system designed to enhance the standard JPEG algorithm by introducing a more perceptually-driven approach. The traditional JPEG standard relies on a ...

Abstract: Effective license plate identification in intricate contexts is essential for intelligent transportation systems, particularly in situations with constrained data and processing resources.

Robotic vision systems have undergone a transformative evolution in recent years, from simple and now primitive beginnings. They are emerging as a critical enabler of precision and efficiency in a ...

Our group has developed and validated an advanced microfluidic platform to improve preclinical modeling of healthy and disease states, enabling extended culture and detailed analysis of ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...