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IFAI

University of Toronto

Company2 stories

  1. ResearchReach 32

    AI cracks the chemistry code for longer-lasting solar panels

    Researchers at UIUC just combined AI closed-loop experimentation with automated synthesis to create light-harvesting molecules that are four times more photostable. Instead of stopping at the algorithm's picks, the team successfully extracted the chemical rules driving the decisions, effectively turning the AI black box into actionable scientific insight.

  2. ResearchReach 31

    Scientists use machine learning to speed up long-acting drug formulation

    University of Toronto researchers just proved that machine learning can drastically cut the trial-and-error out of formulating long-acting injectables. By extracting design criteria from a LightGBM model, the team hit their target slow-release rate for an ovarian cancer drug on the very first try. The entire dataset and codebase have been open-sourced on Zenodo.