Neural-network processors accelerate AI program execution while development tools help you get to market fast.

New holographic storage packs data into amplitude, phase and polarization, raising density and simplifying readout. (CREDIT: ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By combining feature extraction, joint embedding, and advanced ...

Very few areas of industry will escape the influence of artificial intelligence, with many applications involving security ...

Natalie Gilbert grew up watching and learning from her dad's work solving neural network problems for AT&T's Bell Labs.

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...

For quantum computing to reach the point where it is fault-tolerant, scalable, and commercially viable, it’s going to be with ...

As atmospheric carbon dioxide levels continue to rise, accurately measuring the carbon stored in the world's forests has ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

In high-noise settings—such as industrial sites, military operations, or emergency scenarios—conventional communication tools often fail due to ...

Interventional radiology (IR) is a field where precision, timing, and technical skill converge, making the interventional ...