By reasoning and accessing knowledge in an alternative language, large language models can produce more reliable answers in the user’s original language.
Air-trapping proteins from snap pea pods possess natural foaming properties, offering a plant-based alternative for making whipped cream and other fluffy foods.
A*STAR researchers develop a deep learning tool to overcome the lack of matched healthy DNA samples when identifying cancer-linked mutations in tumour sequencing data.
A new system from A*STAR researchers allows two types of radio signals used for sensing and communication to complement rather than interfere with each other.
Integrating spatial information to the metabolic readouts of liver cancer samples reveals region-specific markers that conventional bulk profiling methods miss.
A*STAR researchers developed an AI-powered framework to identify microbial producers of valuable natural products from nature’s vast chemical landscape.
A machine learning framework proposes smarter experiments for optimising meat-like flavours by learning from the aroma and sensory profiles of each round of samples.
A new switchable radio frequency filter could help mobile devices stay compact, affordable while keeping up with the growing number of bands required by next-generation communication networks.
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