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How AI could help optimize nutrient consisten

<p>A team of University of Toronto Engineering researchers, led by Professor <a href="https://discover.research.utoronto.ca/13303-timothy-chan/"><strong>Timothy Chan</strong></a>, is leveraging machine learning to optimize the macronutrient content of pooled human donor milk recipes. The researchers introduce their data-driven optimization model in a <a href="https://pubsonline.informs.org/doi/full/10.1287/msom.2022.0455&...
United States Rogers Hixon Sharon Unger Debbie Oconnor Rachel Wong Timothy Chan

University of Toronto Engineering researchers

An international team of researchers, led by University of Toronto Engineering Professor Yu Zou, is using electric fields to control the motion of material defects. This work has important implications for improving the properties and manufacturing processes of typically brittle ionic and covalent crystals, including semiconductors — a crystalline material that is a central component of electronic chips used for computers and other modern devices.
New Brunswick Yu Zou Mingqiang Li University Of Toronto Engineering Dalhousie University Iowa State University

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