Researchers, including former SFI Postdoctoral Fellow Elizabeth Hobson, have introduced a novel mate choice concept called 'Inferred Attractiveness,' outlined in a recent publication in PLOS Biology.
As children, we learn categories through visual examples, verbal explanations, or both, and are often guided by “teachers” — perhaps a parent or other adult. In contrast, academic research has primarily studied non-pedagogical learning where there is no active teacher, and learning based on visual examples, omitting verbal-based category learning. A recent paper in Cognition by Arseny Moskvichev and co-authors aims to close this gap.
In the last two decades, researchers have reported success modeling high-dimensional chaotic behaviors with a simple but powerful machine-learning approach called reservoir computing. A new paper in Physical Review Research identifies limitations to reservoir computing and suggests a kind of catch-22 that can prove hard to circumvent, especially for complicated dynamic systems.
The field of artificial intelligence has long been stymied by the lack of an answer to its most fundamental question: What is intelligence? To address questions about intelligence in AI, we need concrete tasks to pin down and test the notion of intelligence, argue SFI researchers Arseny Moskvichev, Melanie Mitchell, and Victor Vikram Odouard in a new paper in Transactions on Machine Learning Research.
In a new study published in PNAS, External Professor and UC Davis professor emeritus Alan Hastings and colleagues analyzed a case of social contagion in Adouin's gulls in Spain.
SFI's David Wolpert's No-free-lunch theorems have stirred up many opinions over the past few decades. Wolpert chimes in on the conversation in a new piece in the Journal for General Philosophy of Science.
Study: Balancing economic and epidemiological interventions in the early stages of pathogen emergence
A new study in Science Advances proposes a model for examining the interplay of epidemiology and economics that could give policymakers guidelines when we face novel outbreaks in the future.
In a paper in Scientific Reports, former SFI Postdoctoral Fellow Gizem Bacaksizlar Turbic and SFI Professor Mirta Galesic tested compared the network structure of comments in four publications with varying political persuasions to test theories about the potential influence of a small group of voices.
ChatGPT knows how to use the word “tickle” in a sentence but it cannot feel the sensation. Can it then be said to understand the meaning of the word tickle the same way we humans do? In a paper for PNAS, SFI researchers Melanie Mitchell and David C. Krakauer survey the ongoing debate in which AI researchers are teasing apart whether Large Language Models like ChatGPT and Google’s PaLM understand language in any humanlike sense.
Does a diversity of species protect ecological communities from invasion? Recent work by SFI External Professor Andreas Wagner takes up this long-standing question for complexity science, at a microscopic scale.
In November, Brian Enquist, Mary O’Connor, and Chris Kempes organized a workshop to take stock of advances in biological scaling theory since the publication of a seminal book for the field.
For at least 200,000 years, humans have been trying to understand their environments and adapt to them. At times, we have succeeded; often, we have not. In a new study, SFI's Stefani Crabtree, Jennifer Dunne, and others analyze how information flows from ecosystems to the societies inhabiting them.
Two recent papers by CU Boulder and SFI co-authors explore the socioeconomic makeup and the educational backgrounds of tenure-track faculty across the U.S.
A new dataset, WikiArtVectors, aims to make computational data approaches available to art historians and cultural analysts, to help discover and understand patterns of cultural evolution.
If you think clean energy is expensive, try fossil fuels. A new report in the journal Joule shows that a rapid transition to renewable energy sources by 2050 could save the global economy trillions of dollars compared to both a gradual transition and to no transition at all.
Friendships in childhood influence incomes in adulthood, and may play an important role in stimulating economic mobility, according to research published across two new papers in Nature.
Research jams are among the highlights of the biannual JSMF–SFI Postdocs in Complexity Conference. This fall, two micro-working groups met in the week leading up to the conference to make progress on conversations they began at the meeting last spring.
At the crossroads of computer science and computational science, the emerging field of scientific machine learning focuses on harnessing new ideas in machine learning together with predictive physics-based models to solve complex, real-world problems. On October 10–12, a group met to collaborate on new ideas about using scientific machine learning in complex fields.