Smart Nation and Digital Economy (SNDE)

Computer scientists develop an algorithm that tracks moving objects faster and more accurately than current platforms.

A new neural network designed by A*STAR researchers can train algorithms to visually detect defective products in production lines with limited data.

A new machine learning model processes datasets from different sources simultaneously, paving the way for major advancements in medicine and beyond.

A*STAR scientists pave the way for mobile supercomputing using magnetic nanostructures.

A*STAR researchers introduce Pholus, a first-of-its-kind robot that senses its environment in real-time and bypasses obstacles with unprecedented agility.

A new data selector helps more accurately train machine learning algorithms by recycling datasets from other applications.

A systematic comparison of different existing methods reveals best practices for anomaly detection and diagnosis in cyber-physical systems.

An innovation from A*STAR material scientists does the job of multiple sensor devices through its ability to change detection targets.

Scientists are creating advanced nanopatterned metasurfaces for projecting high-resolution 3D holograms in augmented reality headsets, thereby making the user experience more immersive.

A new method to create artificial synapses developed by A*STAR researchers could make neural networks more efficient and less energy-intensive.

In developing a new process to synthesise stable qubits, A*STAR researchers are paving the way toward scalable and practical quantum devices.

Obviating the need for large datasets in machine translation models could be a reality, thanks to a new method for diversifying training data