By designing quantum circuits to simulate the complexities of chemical reactions, A*STAR scholar Karthik Shreekumar Panicker aims to support new discoveries in chemistry, materials and medicine.
Using artificial intelligence techniques, Mai Chan Lau maps the spatial relationships between tumour cells and immune cells to understand their effect on clinical outcomes.
As the immune system ages, our susceptibility to conditions such as cancer increases, prompting researchers to develop advanced experimental models to study these pathways.
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.
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