IROSH is proud to announce the official launch of its presale, introducing a fully functional and AI-driven crypto trading ...

In the context of the current technological progress, big data arises as a compelling research topic. This paper presents non-traditional analysis strategies like exploiting data semantics (cycle ...

Earlier, in January 2025, the FDA released a companion piece of draft guidance titled “Considerations for the Use of Artificial Intelligence to Support Regulatory Decision-Making for Drug and ...

How DT and Google Cloud migrated legacy systems to an AI-ready, cloud-native unified data system while maintaining data sovereignty.

The cycle begins again. Creative lead rushes over with that familiar panicked expression. “We need graphics for tomorrow’s client demo!” Guess who just won the assignment? Pull up your usual ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Identifying false positives is almost as important as detecting genuine concerns during quality control (QC) processes.

GIS enables spatial mapping of climate vulnerability, helping policymakers and researchers visualize hazard zones and plan ...

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...