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

When designed to process sound based on familiar patterns, sound recognition by computers becomes more robust

A large study of smartphone applications provides a baseline for comparing the security of different mobile providers

An automated assessment of multiple datasets using artificial intelligence accurately diagnoses a common cause of blindness.

An automated method could prevent blindness by detecting glaucoma in its early stages

By monitoring brain connections in their resting state, researchers show that rehabilitation based on brain–computer interfaces could be superior to robot-assisted programs

As well as company privacy, security frameworks for smart grids must protect the privacy of individual consumers

Computing tasks for signal processing could be performed more quickly with less power by using look-up tables

A novel adaptive management system boosts the efficiency of wireless sensor networks that monitor surrounding environments

Software that detects and extracts text from within video frames, making it searchable, is set to make a vast resource even more valuable

A more sensitive technique for determining user position could lead to improved location-based mobile services

A model that shows how connections in the brain must change to form memories could help to develop artificial cognitive computers

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