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

A new deep learning method increases the accuracy and range of applications for computer vision platforms.

A promising new computational model can recreate clean images out of hazy ones.

A new machine learning technique can predict the dynamics between microbes and therapeutics with unprecedented accuracy.

A machine learning algorithm that takes the trial and error out of chip design could help us extend Moore’s Law for a few more years.

A*STAR researchers have found a way to arrest distributed-denial-of-service attacks close to their source, with implications for securing the Industrial Internet of Things.

A*STAR scientists have developed a generative adversarial network that can accurately classify clothing images and realistically manipulate specific image attributes.

Cities of the future must brace for the impacts of climate change. Here’s how an integrated environmental modeling tool developed by A*STAR is helping Singapore’s urban planners rise to the challenge.

A*STAR scientists have devised a learning framework to enable machines to integrate visual, auditory and text data.

A*STAR researchers have created a communication protocol to secure information exchange between a base station and Internet of Things nodes.

Researchers across A*STAR are developing the hardware and software needed to take factories to the next level in Industry 4.0.

Mental practice of upper limb movement and visual feedback could help improve physical rehabilitation among stroke patients.

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