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 Cell Perspective argues that generative AI models could help tackle cancer’s multiscale, multimodal complexity by ...

Poachers once held a huge advantage over wildlife rangers. They moved quietly and struck under the cover of darkness while ...

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.

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

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

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

Spanish Renaissance master El Greco is often considered one of the greatest painters of all time, and many of his artworks ...