Fiber-optic ATR-IR spectroscopy enables real-time liver tumor classification during surgery, offering faster and more objective diagnostics with machine learning support.

While a phased approach can substantially de-risk AI adoption, it’s worth being aware of some common challenges: Data quality ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel ...

FEMI, an AI model for IVF, uses 18 million images to improve embryo assessment, offering a non-invasive, cost-effective ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...

Generative AI is reshaping e-Discovery workflows, with technology-assisted review evolving from using established continuous active learning methods to advanced large language models. As this ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

Explore the top AI tools and essential skills every data engineer needs in 2025 to stay ahead—covering data pipelines, ML integration, cloud platforms, and automation.

The appearance of facial cosmetics is letting underage users, mostly girls, slip past selfie-based age checks on platforms ...