New CLASSIC technique uses AI and massive DNA libraries to predict genetic circuit performance faster and more accurately.

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Researchers at the University of Michigan developed a machine learning–based digital twin to map real-time tumor metabolism ...

AtData, a leading innovator in email address intelligence and digital trust solutions, is introducing Gibberish Detection, a new machine learning-driven model in its fraud prevention suite that ...

A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

According to MarketsandMarkets™, the global Geospatial Intelligence Market is projected to grow from USD 37.13 billion in ...

While investors chase high-profile AI chip makers and tech giants, a quieter transformation is unfolding across traditional ...

In just three months, Phlow and Enveda generated and analyzed nearly 20,000 unique reactions, creating one of the largest high-quality datasets of its kind. The resulting uniform dataset is ...

Founded in 2025, DoppelIQ builds AI-powered digital consumers for B2C brands, achieving 80–95% accuracy in predicting ...