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The model is simple in theory: each time an idea spreads, it has a chance of increasing or decreasing in intensity. If it ...
<p>Stochastic modeling and analysis can help answer pressing medical questions. In this talk, I will attempt to justify this claim by describing recent work on two problems in medicine. The first ...
Applications are open for the 2026 cohort of SFI Complexity Postdoctoral Fellows, who hold the Omidyar Fellowship. This ...
An SFI working group looking for hidden rules that underpin proteins brings molecular biologists, bioinformaticians, statisticians, machine learning experts, and more to SFI from August 18–21 to ...
SFI External Professor Mahzarin Banaji (Harvard University) has received a BBVA Foundation Frontiers of Knowledge Award in Social Science. She shares the award with social psychologists Icek Ajzen, ...
In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one foundation model called Chronos could generate predictions of chaotic ...
Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don’t have access to a ...
In many careers, a person must learn foundational skills before advancing more deeply into their profession. A recent paper in Nature Human Behavior mapped the dependency relationships ...
A new paper in PNAS shows that the idea of “taking turns” could help resolve the 1960s paradox of the plankton — and better predict how climate change will remake our ...
Using a variety of analogy puzzles, SFI researchers have shown that the reasoning abilities of OpenAI’s GPT-4 model fall short when faced with small changes. Recognizing the limitations of these ...
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