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 ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports continuous learning without losing control of causality. For engineers, that’s ...

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 ...

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

There are challenges to patching AI chips, and cybersecurity risks to not patching them. The expanding power of artificial intelligence and its many applications depends upon the strength and ...

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 of reader or viewer. This isn’t about replacing real humans, it’s about ...

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

Discover Denario, the new open-source AI that automates the entire scientific process, from generating hypotheses to analyzing data and publishing its own peer-reviewed research papers.