Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on clinicopathological features offer limited predictive accuracy and lack ...

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...

AI-assisted signal debugging has broad impact across many domains.

The study reveals a rapidly evolving field where AI plays a pivotal role in accelerating design, enabling predictive ...

Hydrogen fuels represent a clean energy option, but a major hurdle in making its use more mainstream is efficient storage.

Researchers found that the Gaussian Process Regression (GPR) machine learning model is the most reliable tool for forecasting ...

Hydrogen storage is limited by high pressure or cold tanks. Metal hydrides offer efficiency. A large curated database reveals key atomic traits to guide design.

Marine oil spills are among the most severe environmental hazards, threatening aquatic ecosystems, coastal economies, and biodiversity. Traditional detection methods, based on manual observation, ship ...

AI automation is transforming enterprise DevOps as systems like UPS’s DevOptima evolve from reactive workflows to intelligent self-learning ops.

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Hydrogen fuels represent a clean energy option, but a major hurdle in making its use more mainstream is efficient storage.