New definition returns meaning to information

Identifying meaningful information is a key challenge to disciplines from biology to artificial intelligence. In a new paper, SFI's Artemy Kolchinsky and David Wolpert propose a broadly applicable, fully formal definition for this kind of semantic information.

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SFI Community Lecture — Quantum Computers

Sending instantaneous messages across long distances, or quickly computing over ungodly amounts of data are just two possibilities that arise if we can design computers to exploit quantum uncertainty, entanglement, and measurement. In this SFI Community Lecture, scientist Christopher Monroe describes the architecture of a quantum computer based on individual atoms, suspended and isolated with electric fields, and individually addressed with laser beams.

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Social animals have tipping points, too

Quantitative tools developed in math and physics to understand bifurcations in dynamical systems could help ecologists and biologists better understand — and predict — tipping points in animal societies.

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Theory, meet Empiry

It may seem that there isn't much cross-discussion between theoretical and empirical scientists, but a new cross-citation network analysis shows there is more overlap than many believe. 

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Networks, second edition

SFI External Professor Mark Newman has updated his classic textbook on networks. Oxford University Press publishes Networks, second edition, in early September, 2018.

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New external faculty announced for 2018

SFI welcomes ten new professors to our external faculty, a cohort of academics who enrich our networks of interactions, help us push the boundaries of complex systems science, and connect us to over 70 institutions around the globe.

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