Institute for Infocomm Research (I²R)

Researchers have built a navigation algorithm that leverages multidimensional real-world data to map the fastest and most efficient route.

Multidisciplinary efforts across A*STAR are paving the way toward Singapore’s precision medicine vision.

Computer scientists develop an algorithm that tracks moving objects faster and more accurately than current platforms.

Game-changing new ideas and products are born from connecting the right minds and hands. In this cover story, we spotlight how A*STAR facilitates those connections and cultivates the culture needed for an ecosystem of innovation.

A new neural network designed by A*STAR researchers can train algorithms to visually detect defective products in production lines with limited data.

A new machine learning model processes datasets from different sources simultaneously, paving the way for major advancements in medicine and beyond.

A*STAR researchers introduce Pholus, a first-of-its-kind robot that senses its environment in real-time and bypasses obstacles with unprecedented agility.

A new data selector helps more accurately train machine learning algorithms by recycling datasets from other applications.

A systematic comparison of different existing methods reveals best practices for anomaly detection and diagnosis in cyber-physical systems.

A computational platform designed by A*STAR researchers accurately predicts a machine’s functional lifespan even with limited data.

Obviating the need for large datasets in machine translation models could be a reality, thanks to a new method for diversifying training data

A novel machine learning framework makes it faster and easier to train robots that can perform tasks with unprecedented precision.