When Robot Teams Borrow Evolution’s Rule for Sharing Risk
An evolutionary idea about altruism helps robot teams balance exploration, duplication and risk—and raises the question of who decides which robot matters most.
Crossover
How a Swarm Turns Curved Channels Into a Microscopic Sorter
A curved microfluidic chip uses collective motion to separate active particles, turning a physics principle into a continuous-flow sorter.
Can a Fixed Cell Reveal How Its RNA Moved Through the Nucleus?
A physics-informed method explores when messenger RNA positions in a fixed cell can reveal nuclear transport—and when one snapshot is not enough.
How the Brain’s 10-Millisecond Reflex Could Give AI a Safety Net
A brain reflex that stabilizes vision in milliseconds suggests how AI could pair rapid safety responses with slower learning.
A Tadpole’s Skin Turns Quantum Spin Into a Visible Clue
Weak magnetic fields altered pigment-cell counts around tadpole eyes, in a light-dependent effect consistent with quantum spin chemistry.
The Top Quark Dies So Fast Its Spin Becomes a Quantum Clue
A top quark's fleeting lifetime preserves spin clues, letting collider physicists use quantum-information tools to detect entanglement.
A Black Hole Census Could Reveal the Growth Rules No One Can See
A statistical-physics framework could turn black-hole population snapshots into clues about how these cosmic objects grow across time.
How Two Mismatched Telescopes Can Train Better Planet Hunters
Kepler and TESS see different slices of the sky. Joint machine-learning training turns their mismatch into a better way to rank planet candidates.
A Camera Borrowed the Brain’s Reflexes to See Through Motion
A brain-inspired camera system learned to balance motion blur and low light, boosting object recognition while cutting remote AI calls.
In Space, the Smartest AI Experiment May Be Knowing When to Stop
Space science is pushing AI beyond prediction: rovers and orbital labs must act, track samples and know when experiments stop supporting a claim.
The Math of an Invasion Front Has a Counterintuitive Price Tag
A mathematical model of invasive spread finds a unique control strategy—and shows why faster fronts can carry a surprisingly uneven cost.
The Hidden Chemistry in How a Language Model Reads 3D Molecules
A molecular chemistry test finds that language models can rank 3D shapes, while their reliance on hydrogen bonds exposes a striking blind spot.
How a Locust’s Collision Alarm Could Help Cars Spot Danger
A locust-inspired vision model spots looming motion in dashcam clips, but false alarms show how far it is from road-ready.
How Scattered Light Found a Way to Do AI’s Pairwise Math
A real optical experiment found a way for scattered light to generate pairwise features resembling a core comparison in AI attention.
A Salamander Robot Feels Its Way From Solid Ground Into Water
A salamander-inspired robot uses magnetic sensors to detect ground contact and water flow, then switches from walking to swimming.
How an AI Learned Crystal Symmetry—and Found a Third Kind of Magnet
Machine learning helps physicists search crystal symmetries for altermagnets, including a predicted spin pattern that flips 12 times.
The Missing No: Why AI's Scientific Ideas Dodge Null Results
A large scientist-led test found AI research ideas rarely propose null results—and revealed why human judgment still matters.
How Thermodynamics Turns Blood-Vessel Remodeling Into a Testable Theory
A thermodynamic framework turns local vessel remodeling into testable predictions about flow, metabolic budgets, and hidden network signals.
Could Thomas Kuhn’s Philosophy Help an AI Find DNA’s Hidden Signals?
An AI system borrowed Thomas Kuhn’s idea of scientific revolutions to rethink DNA motif search, producing a faster algorithm that still awaits lab validation.
The Physics Trick That Could Make Neural Networks Less Mysterious
Physics offers a surprising map for neural-network learning: solvable models, scaling laws, and shared patterns point toward a new mathematical science.