A*STAR Institute for Infocomm Research (A*STAR I²R)

A*STAR’s Snap2Tell image recognition technology is at the forefront of new media applications for mobile phone and iPad users

New intelligent algorithms could help robots to quickly recognize and respond to human gestures

Enhanced image detection software offers greater accuracy and reliability for eye disease diagnostics

New ceramic chip antennas offer better performance and reliability for wireless applications using unlicensed spectrum

The transmission quality of an optical fiber can now be tested without the need to take measurements at both ends

A new algorithm improves the way computers interpret readings of the brain’s electrical signals

An antenna design relying on circular holes provides strong performance for radiofrequency identification

The iTwin device developed at A*STAR is a conceptual breakthrough in data security and portability providing easy, secure access to remotely stored files

Forensic scientists have developed an automated system to extract volatile data from mobile phones

The development of an automated system for analyzing images of the retina will facilitate computer-aided diagnosis of eye diseases

Information theory shows the best way to share wireless spectrum securely

An automated system significantly improves the grading objectivity and accuracy in cataract diagnosis