Smart Nation and Digital Economy (SNDE)

A new dynamic, context-aware machine learning model aims to support safer navigation through busy seaports by predicting ship movements in real time.

A new computational model refines the art of predicting how proteins interact, creating a robust tool to explore complex biological systems even with limited data.

A new optical nanoantenna design provides fine control of light emissions from quantum dots, honing their tunability for more robust, energy-efficient optoelectronics.

Complex magnetic particle arrangements, called skyrmions, can transform computing by making data storage and processing more efficient and energy-saving.

A new training strategy enables robots to efficiently collaborate and learn in dynamic environments, improving their performance in real-world tasks.

Advanced photonic processors boost machine learning efficiency by handling vast data streams in parallel, with potential benefits for enhanced patient monitoring and cloud computing.

Researchers find that pre-training AI models on a global scale boosts their performance in machine learning tasks, particularly in scenarios with limited training data.

A robust machine learning approach to predict and optimise fuel consumption in ships is critical to practically enhance maritime environmental sustainability.

Advanced materials are set to enhance the transition to 6G networks, enabling faster, broader and more reliable wireless communication.

An innovative approach enhances the accuracy and reliability of spoken language assessments by modelling inherent uncertainties.

Inspired by spider silk, researchers develop a new biocompatible wrapping film that can transform how medical implants interface with human tissues.

A new transparent soft robot uses innovative materials to blend into underwater environments by mimicking the moon jellyfish’s movement and appearance.