A*STAR Institute for Infocomm Research (A*STAR I²R)

A new computational model refines the art of predicting how proteins interact, creating a robust tool to explore complex biological systems even with limited data.

A new training strategy enables robots to efficiently collaborate and learn in dynamic environments, improving their performance in real-world tasks.

Machine-learning-based predictions intelligently analyse complex sensor data to enhance equipment maintenance and reliability.

Researchers find that pre-training AI models on a global scale boosts their performance in machine learning tasks, particularly in scenarios with limited training data.

Drawing together artificial intelligence, robotics and medicine, Gaurav Manek is developing advanced microscopes that can help guide surgeons minimise tissue removal during operations, aiding the recovery process.

Through innovative technologies and deep biological insights, A*STAR research institutes and ecosystem partners aim to enhance the healthspan of Asia’s ageing populations.

An innovative approach enhances the accuracy and reliability of spoken language assessments by modelling inherent uncertainties.

The A*STAR researchers in NRF Singapore’s class of 2024.

A novel machine learning framework efficiently detects small objects in images, potentially boosting computer vision technologies such as self-driving vehicles and remote sensing.

From production to storage and usage, A*STAR research institutes are tackling challenges in sustainable energy to meet the needs of the 21st-century.

A new machine learning method enables smaller models to understand and replicate complex relationships within large networks.

A new approach to secure direct communication between devices enhances privacy by preventing eavesdropping.