We can no longer pretend that A.I. is safe.

npj Climate Action - AI-driven productivity gains enable more CO₂ emissions than they avoid in a global energy–economy model

If we still believe that science is a vocation grounded in argument, curiosity and care, we can’t delegate judgement to machines, says Akhil Bhardwaj

The idea of ‘biological agency’ — that life devises its own goals and behaves accordingly — complicates our understanding of what it means to be alive. But does it serve a scientific purpose?

Mandatory reviews by top health officials and checks for 235 disfavoured terms have left hundreds of vetted grant applications in administrative limbo.

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively simple forecasting strategy can outperform several leading machine learning forecasting models. Their method, called context parroting, relies on short stretches of time-series data (or context). As it moves through the time series, it scans for similar patterns or motifs that appeared earlier in the sequence, and uses those patterns to predict what might come next.

The study of dynamical systems has long focused on the characterization of their asymptotic dynamics such as fixed points, limit cycles and other types of attractors and how these invariant sets chang...

Nouri et al., (2025). TranCIT: Transient Causal Interaction Toolbox. Journal of Open Source Software, 10(116), 9302, https://doi.org/10.21105/joss.09302

Network Physiology is an multidisciplinary field dedicated to uncovering the complexity of physiological interactions across diverse physiological systems an...

Epigenetic landscapes were proposed by Waddington as the central concept to describe cell fate dynamics in a locally low-dimensional space. In mode...

More than 1,900 people, mostly children, have been sickened by measles in the U.S. in 2025. The outbreaks are moving the country toward losing its measles-free status by early next year

Modern AI models, such as large language models, are usually trained once on a huge corpus of data, potentially fine-tuned for a specific task, and then deployed with fixed parameters. Their training ...

How cells translate growth factor (GF) signals into context-specific phenotypes remains a fundamental question in cell biology. The classical view holds that cells translate a constant concentration o...