Smart Nation and Digital Economy (SNDE)

Through machine learning, a new mathematical model aims to reduce fuel costs and improve the timeliness of tugboat services in high-traffic ports.

Inspired by sponges and trees, a novel hydrogel design paves the way for a new generation of multi-functional electronic soft sensors.

A new framework aligns data from multiple sensors across time, boosting the accuracy of machine failure predictions.

A new crystalline silicon metasurface harnesses asymmetric design to efficiently generate deep-UV light, advancing chip-scale photonic applications.

Transforming near-infrared light to visible light can open possibilities for practical applications in medical imaging and security systems.

An AI-based framework adds a personal touch to medical dialogues, supporting the health management plans of patients with diabetes.

A detailed look at a tungsten-based semiconductor reveals how the spacing of surface defects can improve the material’s stability in atmospheric conditions.

Combining the best of both classical and quantum computing, a new mathematical approach promises faster solutions for complex modelling of real-world phenomena.

A new lithium niobate nanophotonic device efficiently produces correlated photon pairs on chips, paving the way for compact quantum communication systems.

Computational models offer an AI boost to logistics planners by identifying the most efficient transport routes through cross-problem learning.

By introducing tiny magnetic whirlpools to existing spin-based electronics, researchers pave the way for faster, more compact and more energy-efficient computing.

New decision-making support tools aim to help air traffic controllers safely manage the complex navigational space around airport terminals.