Leveraging both artificial intelligence and field knowledge may prove to be a superior strategy for predicting machine health.
Three A*STAR scholars—Sarah Luo, Caroline Wee, and Kaicheng Liang—have been selected for the highly competitive National Research Foundation Fellowship out of over 134 applicants worldwide.
Computing devices are finally reaching their limits. But recently discovered particles called magnetic skyrmions could redefine these limits, according to Anjan Soumyanarayanan.
A new deep learning method increases the accuracy and range of applications for computer vision platforms.
Tipped off by artificial intelligence, a research team is testing whether a rheumatoid arthritis drug could be repurposed as a COVID-19 treatment.
Researchers are simulating real-world complexity in machine learning models to ensure their safety before they are deployed in the wild.
A new model called DECAPROP is helping machines to read more efficiently by enhancing their ability to understand the context of words.
A*STAR has built a testbed for digital twins, the virtual counterparts of real manufacturing equipment. These factory innovations could help companies save by predicting and adjusting for their partner machine’s condition on the go.
An algorithm gives robots an instinctive understanding of how to use tools
Socially intelligent computers can turn difficult online negotiations into win−win situations through tactical information disclosure