Posts Categorized: Research
New research on materials science datasets shows the amount of training data can be significantly reduced with minimal impact on the performance of the model
Professor Frank Gu (ChemE), a member of the winning team, is engineering nanomedicines to delay or prevent irreversible blindness caused by glaucoma
The Self-Driving Laboratory for Human Organ Mimicry is one of six self-driving labs launched by the Acceleration Consortium to drive research across a range of fields
A team led by Professor Yu Zou (MSE) is using a deep learning and genetic algorithm framework to achieve application-specific mechanical properties by microstructure optimization
Researchers led by Professor Jonathan Rocheleau (BME) share their findings in a new paper published in Science Advances
Professor Hoi-Kwong Lo honoured for his work in quantum information and quantum cryptography, and Professor J.J. Garcia-Luna-Aceves celebrated for his work in computer networks
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