New research is significantly revising a widely cited evolutionary model, the Inhibitory Cascade Mode (ICM). Benjamin Auerbach, professor in the Department of Ecology and Evolutionary Biology at the ...

The unpredictability of AI could lead to a future where humans lose control over AI systems. Neural networks differ ...

This Timeline article charts progress in mathematical modelling of cancer over the past 50 years, highlighting the different theoretical approaches that have been used to dissect the disease and the ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

AI prediction loops exploit uncertainty, deepen dopamine dependence, and reshape anticipation, decisions, and control ...

Monitoring a brainless sea star may seem like a curious way to go about studying robotics. But the marine invertebrate’s ...

Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...

A bird banking in a crosswind doesn't rely on spinning blades. Its wings flex, twist and respond instantly to its environment ...

Weather forecasts could soon pinpoint individual clouds and tornadoes using AI. A new study reveals how merging artificial intelligence with satellite data may overcome decades-old computing limits, ...

The contemporary global landscape is currently defined by two distinct but interconnected theaters of conflict that are fundamentally reshaping the future of military engagement, as noted by political ...

The Computer Weekly Security Think Tank considers the intersection of AI and IAM. In this article, learn how AI-driven IAM ...