Topics

Scientists just cracked a decades-old problem: SPMiner uses Graph Neural Networks to discover hidden recurring shapes inside massive networks faster and at unprecedented scale.

How decentralised science could transform research: unlocking funding, access, and collaboration while handling risks of quality, governance, and trust.

Transweaving Flows: Unlock the secret to instantly adapt fluid simulations across Reynolds numbers borrow big swirls, stretch boundary layers, and save massive computation time..

Can controversial “hydrino” states be explained without rewriting quantum mechanics? A new paper argues ordinary physics, under extreme confinement, resolves the decades-long hydrogen mystery.

Exploring psi-like correlations using spatially separated Dirac‑3 quantum computers, combining chaos-sensitive optimization, strict blinding, and human/organoid event streams for reproducible, falsifiable experimental insights

This new AI-powered tool helps scientists share and reuse data more effectively, ensuring it leads to faster breakthroughs in health, climate, and technology.