Printed neurons communicate with living brain cells
Peer-Reviewed Publication
Updates every hour. Last Updated: 15-Apr-2026 09:16 ET (15-Apr-2026 13:16 GMT/UTC)
Printed artificial neurons generate realistic brain-like signals that activate living neurons. Device uses flexible, low-cost electronic inks instead of rigid silicon fabrication. Approach could lead to bioelectronics that communicate directly with the brain and energy-efficient, brain-inspired computing.
New research reveals a powerful yet overlooked driver of climate change: Intensifying ocean eddies. These swirling currents—that break off from major currents—are redistributing heat and nutrients in the ocean and amplifying climate extremes in key coastal ecosystems.
By combining multi-proxy data from field and laboratory research with multiple computer modeling simulations using known and extrapolated data, the study shows a potential link between sustained, large-scale volcanism in the Altiplano-Puna volcanic complex, the largest active silicic magma system on Earth, and global climatic and ecological change.
University of Wyoming researchers' methodology has, for the first time, made it possible to characterize surface local chemical ordering of high-entropy alloys.
Florida’s coral reefs are under siege from fast-spreading diseases like Stony Coral Tissue Loss Disease, yet their hidden structural impacts remain poorly understood. FAU researchers used advanced micro-CT imaging and deep learning to analyze coral skeletons in 3D, revealing subtle changes in porosity, density and thickness with 98% accuracy. This innovative approach offers a powerful new tool to rapidly assess reef health and better guide conservation strategies in the face of escalating environmental threats.
A custom-built artificial intelligence system developed by Rice researchers helped uncover how bacterial communities self-organize.
As humans break up forests and fragment habitats, it’s not just species that are lost but also the way ecosystems work, a new study finds. A paper recently published in Ecology Letters compares how mammals are connected through food webs – meaning who eats who or what – in 127 protected areas across Africa. It’s the first study to compare food web similarity at a continental scale.
Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs) – AI systems used in applications from drug discovery to weather forecasting.