Artificial intelligence

A*STAR researchers develop machine learning models that quickly and accurately simulate chemical reactions involving complex liquid interactions.

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.

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

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

Researchers teach artificial intelligence systems how to process information by mimicking human introspection.

Using novel dual-layered memristor designs, researchers solve processing speed and reliability issues faced by a promising new class of computing devices.

Researchers develop machine learning models for accurately diagnosing an inflammatory skin condition.

Despite the hype, State-of-the-art machine learning challenges one of the toughest problems in systems biology.

Researchers build a state-of-the-art computational model that can identify emotional cues in real-life conversations

Artificial intelligence could help speed up the discovery and development of materials towards a greener future.

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

By linking past observations with future possibilities, a novel framework could help computers predict human actions more accurately.