Urban Solutions and Sustainability (USS)
Despite the hype, State-of-the-art machine learning challenges one of the toughest problems in systems biology.
Scalable and cost-effective methods for growing fat cells pose a commercialisation barrier for cultivated meat products.
Researchers create a new recyclable, eco-friendly class of plastics derived from natural sugar molecules to address the plastic waste crisis.
Artificial intelligence could help speed up the discovery and development of materials towards a greener future.
Researchers identify an easy-to-recycle plastic alternative for use in electronics, making strides towards a circular economy.
A new compression method developed at A*STAR shrinks energy and hardware requirements for complex computational platforms on everyday devices.
A purpose-built machine learning platform takes the guesswork out of catalyst formulations for green energy generation.
A*STAR scientists develop a process for transforming coconut waste into strong and biodegradable bioplastics.
Researchers developed a new technique for manufacturing powerful and versatile synthetic catalysts.
Materials science and computational techniques come together to advance new design schemes for aerospace alloys.
A new bacterial platform makes plant-derived pigments more soluble, overcoming long-standing issues around their use in pharmaceuticals.