When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

Researchers engineered the first RNA-based NAND gate in living cells using deep learning and Bayesian optimization, testing ...

Discover how researchers are tackling the challenges of integrating renewable energy into power grids. A new study in Engineering presents a groundbreaking framework to manage uncertainties in power ...

Sight, Deep Learning, Convolutional Neural Network, Long Short-Term Memory, Self-Attention Mechanism Share and Cite: Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep ...

As AI search becomes conversational, prompt patterns reveal how questions evolve and how content appears in search results and AI answers.

As drone threats push detection ranges outward, C-UAS performance is increasingly decided at the limits of visibility—where targets are only a few pixels, sig ...

Magnetic invisibility sounds simple in theory. Place the right materials around an object and magnetic fields flow around it as if nothing were there. Reality has been far messier. For nearly two ...

The large language model automates literature search, synthesis, and structural analysis to speed up materials discovery and ...

Alberto Corigliano introduces the ERC Advanced Grant project IMMENSE, which aims to overcome the challenge of developing ...

Former Johnson Controls CEO Alex Molinaroli explains how AI can reset leadership, strengthen supply chains, and transform products in smart buildings and energy.

Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...