Learning by omission

What would happen if neural networks were explicitly trained to discard useless information, and how to tell them to do so, is the subject of recent research by SFI's Artemy Kolchinsky, Brendan Tracey, and David Wolpert.

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What magnets have to do with pistachios

SFI External Professor Jon Machta and colleagues from the University of California, Davis, show that one of the most famous models in statistical physics, the Ising model, could be used to understand why pistachio trees bloom in synchrony.

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In memoriam: Alfred Hübler

A teacher, physicist, and all-around “high throughput” individual, SFI External Professor Alfred Hübler passed away Saturday, January 27, at the age of 60.

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Let us compute: The law

The first working group in Feldstein Program on Law, History, and Regulation brings leading researchers together to contribute to the burgeoning research field in the computational study of law.

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What are the limits of scientific understanding?

Exploring the limits of scientific understanding is the query that will drive a three-day workshop at SFI, which itself aims to understand how well scientific and mathematical reasoning can comprehend complex systems.

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Two SFI faculty elected to AAAS

SFI Professor Cristopher Moore and External Professor John Rundle have been named fellows of the American Association for the Advancement of Science.

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New paper answers causation conundrum

In a new paper, SFI's Jessica Flack offers a practical answer to one of the most significant, and most confused questions in evolutionary biology — can higher levels of organization drive the behavior of lower-level components?

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