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

Computational models offer an AI boost to logistics planners by identifying the most efficient transport routes through cross-problem learning.

With an eye on adaptable computer vision technologies, A*STAR scholar Mohamed Mikhail Kennerley aims to boost the capacity of machines to understand the visual world.

Through tight-knit collaborations with industry and ecosystem partners, A*STAR is building smart solutions to boost land, sea and air connectivity within Singapore and beyond.

New decision-making support tools aim to help air traffic controllers safely manage the complex navigational space around airport terminals.

An innovative AI tool uses patient data to generate individualised treatment recommendations to support clinicians in managing type 2 diabetes.

Cell and gene therapies are driving the next revolution in medicine, combining the best of biology with game-changing technologies from A*STAR researchers and partners.

A new benchmark for multilingual artificial intelligence tackles biases and inconsistencies to foster more inclusive global communication.

Through its focus on attracting, developing and retaining talents in science and technology, A*STAR is helping to build a rich national ecosystem of research, innovation and enterprise.

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.