Brett Savoie
@profsavoie.bsky.social
Professor. Trained in chemistry and physics. Appointed in engineering. Developing new modes of science and engineering enabled by machine learning.
The real story in the google agents for science paper is that there is more ROI than ever for being a practicing scientist or engineer.
February 24, 2025 at 11:46 AM
The real story in the google agents for science paper is that there is more ROI than ever for being a practicing scientist or engineer.
We need to figure out how to use AI without becoming dim:
www.theintrinsicperspective.com/p/brain-drain
brAIn drAIn
The enhancement and atrophy of human cognition go hand in hand
www.theintrinsicperspective.com
February 19, 2025 at 10:34 AM
We need to figure out how to use AI without becoming dim:
www.theintrinsicperspective.com/p/brain-drain
Over a decade ago I had the pleasure of coauthoring a perspective with the great Nick Jackson. Now we reprise the collaboration to discuss 10 problems in polymer chemistry that are plausibly solvable with emerging methods. For the framing device we are indebted to Mark Ratner:
tinyurl.com/ytp5uzkm
tinyurl.com/ytp5uzkm
Ten Problems in Polymer Reactivity Prediction
The phrase “polymer theory” is typically associated with classical predictions of structural, thermodynamic, or mechanical properties in which chemical structure is treated nonspecifically. This is be...
doi.org
February 18, 2025 at 9:22 AM
Over a decade ago I had the pleasure of coauthoring a perspective with the great Nick Jackson. Now we reprise the collaboration to discuss 10 problems in polymer chemistry that are plausibly solvable with emerging methods. For the framing device we are indebted to Mark Ratner:
tinyurl.com/ytp5uzkm
tinyurl.com/ytp5uzkm
Good information requires a lot of compute.
February 17, 2025 at 11:43 AM
Good information requires a lot of compute.
It seems intuitive that there is a Pareto front of model accuracy and interpretability. The trade-off is proportional to the irreducible complexity of the underlying mapping.
February 14, 2025 at 5:13 PM
It seems intuitive that there is a Pareto front of model accuracy and interpretability. The trade-off is proportional to the irreducible complexity of the underlying mapping.