Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

The telecom regulator wants legal authority under the IT Act to act against call management apps that allegedly misclassify ...

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...

A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and cross-cloud failover. By ...

Physicists at the University of California, Irvine, have developed an artificial intelligence system that can autonomously ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care ...

Artificial Intelligence (AI) is transforming industries by automating processes, improving decision-making, and enhancing ...