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Project Overview The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic
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quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI
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incremental optimization. We seek researchers to develop next-generation machine learning methods that fundamentally rethink how large-scale AI systems are trained, fine-tuned, and deployed. Our focus is on
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ultrasonic RF data from wearable ultrasound devices using advanced beamforming techniques. Develop image reconstruction algorithm and investigate using time series ultrasound image analysis for continuous
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of teaching and learning. Successful candidate will bridge the fields of AI development and education research, working closely with other AI researchers in M3S to contribute in both the creation of generative
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settings and (ii) explicit task execution knowledge embedded in multi-modal documents. This research will specifically look at the development of embodied and embedded intelligence, which allows AI-based