Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

According to the 2025 DORA report, 90% of tech professionals report using AI in some aspects of their daily work. Yet that ...

A handheld breath test flagged lung cancer risk in a 67-person study, using eight breath chemicals and a small on-device neural network.

The aim is to find new uses of real-world data in AI development, and to help health systems move from fragmented, compliance ...

Over the last decade, technology-assisted review (TAR) has become a preferred choice in the e-discovery toolkit. Now, as ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Artificial intelligence (AI) is set to transform the care of women with cancer. From early detection via digital phenotyping ...

With constant miniaturization and new materials driving complexity, the market continues evolving toward intelligent, automated, and sustainable workflows ...

In other words, we can use AI as a simulated audience: a stand-in that reacts to a data story as if it were a specific type ...

An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...