Artificial intelligence

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.

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

Machine learning and artificial intelligence have the power to transform chemical research, says A*STAR National Science Scholar Jacqueline Tan.

From advanced materials to atomic super sensors, A*STAR scientists are harnessing the power of quantum to the fullest, ushering in the next generation of trailblazing technologies.

Deep learning algorithms for predicting machine failures in industrial settings can be compressed without compromising their performance, say A*STAR researchers.

By giving algorithms the ability to generalize, researchers are expanding the range of problems that can be tackled with artificial intelligence.