Intelligence applied

Wearable technology in knee braces is a promising new approach to provide biometric feedback that may allow patients to rehabilitate more effectively from knee injuries and after knee surgery.

We use computer vision techniques to analyse cardiac imaging in both health and disease. We use these models to understand the genetic basis of heart failure and to predict future health outcomes.

This initiative aims at using different frequency signals to achieve Synthetic UPsampling ARray (SUPAR) to improve angular resolution in multitude. Artificial intelligence (AI) tools will be employed for real time probing design and imaging.

“Human and machine auditory perception” Research into intelligent spatial audio and human perception using machine learning, neuroscience, signal processing, and applied mathematics.

We believe that AI can help address the growing and unmet global needs for highperformance healthcare and wellbeing and lead us towards smarter, sustainable societies in general.

The Research Initiative will focus on combining novel computational imaging methods with AI and deep learning techniques to address previously unsolvable or analytically intractable inverse problems in diverse fields such as realistic computer graphics, computer vision, signal processing, medical imaging and natural/physical sciences.