We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
I work in materials development at a chemical manufacturer and spend my days thinking about how to apply AI to research. In this note, I have been writing a series on the theme of "Self-Driving Labs ...
Bayesian deep learning is different. It treats weights as distributions. This helps you track uncertainty. Why use it? - You know when the model is unsure. - You stop the model from overfitting. - You ...
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When modelling the impact of events that have never happened before, historical data fails us. No time series can tell you what happens when the Strait of Hormuz — through which 20% of the world's oil ...
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). AntBO applies Bayesian optimization in CDRH3 space, doubling hit rates with <1% of the naïve screening budget ( Khan et al., 2023 ). Related acquisition strategies have delivered high-success scFv ...
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