Researchers develop a new image-processing algorithm that sharpens hazy images by distinguishing true colours and removing visual noise.
A new machine learning platform offers more accurate traffic predictions for safer, less congested roads.
A hybrid approach that combines classical and quantum computing may be a stepping stone to solving complex, evolving mathematical simulations.
A new image dehazing algorithm sharpens both real-world and computer-generated images with unprecedented speed and accuracy.
Researchers build a state-of-the-art computational model that can identify emotional cues in real-life conversations
A new cloud-based machine learning framework processes sensitive encrypted data 20 times faster than its predecessors.
Researchers have built a navigation algorithm that leverages multidimensional real-world data to map faster and more efficient traffic routes.
A*STAR researchers develop a first-of-its-kind quantum algorithm that co-opts classical computers to solve complex engineering problems.
Computer scientists develop an algorithm that tracks moving objects faster and more accurately than current platforms.
A new data selector helps more accurately train machine learning algorithms by recycling datasets from other applications.
A computational platform designed by A*STAR researchers accurately predicts a machine’s functional lifespan even with limited data.