Machine learning

Researchers at A*STAR have designed a hybrid machine learning model to enhance touch capabilities in robots.

A machine learning technique developed by A*STAR scientists could help patients with locked-in syndrome communicate via brain-machine interfaces.

A*STAR researchers have devised a machine learning strategy that can be applied to translation and other complex classification problems.

A*STAR researchers have developed a deep learning method to more accurately measure sleep duration and quality.

An automated machine learning system for analyzing leg movements in fruit flies is helping A*STAR researchers shed light on how neurodegenerative diseases develop.

A new model called DECAPROP is helping machines to read more efficiently by enhancing their ability to understand the context of words.

A*STAR researchers have devised a machine learning technique to help antivirus developers stay ahead in the cat-and-mouse game of Android malware detection.

A*STAR scientists have designed sophisticated machine learning techniques that are more efficient at identifying anomalies in datasets.

Smart software takes the emotional temperature of comments made online, and even spots sarcasm.

A high-throughput computer model predicts diffusion data for the transport of light elements within solids

Using deep-learning techniques to locate potential human activities in videos

Machine learning helps locate dozens of mutations statistically linked to gastric cancer in non-coding DNA regions