Machine learning
Calculating the end of machine life flexibly
18 May 2022A computational platform designed by A*STAR researchers accurately predicts a machine’s functional lifespan even with limited data.
A modern twist to ancient alloys
6 May 2022Machine learning and computational platforms are helping develop robust protocols for manufacturing an emerging class of strong, super lightweight alloys.
Guiding hand-eye coordination in robots
4 Jan 2022A novel machine learning framework makes it faster and easier to train robots that can perform tasks with unprecedented precision.
AI makes stem cells less unpredictable
28 Oct 2021A*STAR researchers have created the first machine learning model for predicting clinical outcomes of stem cell therapies in patients with cartilage disorders.
Accelerating discoveries in chemistry with AI
30 Sep 2021Machine learning and artificial intelligence have the power to transform chemical research, says A*STAR National Science Scholar Jacqueline Tan.
Delving into a spectrum of quantum capabilities
24 Sep 2021From 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.
A death clock for machines
6 Sep 2021Deep learning algorithms for predicting machine failures in industrial settings can be compressed without compromising their performance, say A*STAR researchers.
Teaching machines transferable skills
30 Jul 2021By giving algorithms the ability to generalize, researchers are expanding the range of problems that can be tackled with artificial intelligence.
Finding flaws fast
26 Jul 2021A machine learning method that finds defects or dimensional deviation on 3D-printed surfaces ‘on-the-fly’ is paving the way for smart, fully automated systems.
Piecing the cracks together
31 May 2021A hybrid approach combining deep learning with Bayesian inference has enabled more accurate, efficient and automatic crack detection.
Teaching robots by example
26 Mar 2021By breaking complex actions into their basic components, researchers have developed a versatile framework that enables robots to learn from human demonstrators.
A man-machine winning team
1 Mar 2021Leveraging both artificial intelligence and field knowledge may prove to be a superior strategy for predicting machine health.