Researchers have developed a groundbreaking data-driven model to predict the dehydrogenation barriers of magnesium hydride, a promising material for solid-state hydrogen storage. This advancement ...

Key Challenges of Data-Driven Business Model Transformation Today, getting hold of data is rarely the problem.

Governing equations in the form of ordinary and partial differential equations are valuable models for physical systems. However they can be difficult to derive, making them unknown, particularly for ...

The enhanced hybrid model improves the predictive capability of data-driven modeling and reduces the need for process knowledge.

AI Data Center Market is rapidly growing, driven by hardware demand, cloud adoption, hyperscale data centers, AI model training, and BFSI use.Austin, Aug. 27, 2025 (GLOBE NEWSWIRE) -- The AI Data ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Digitalization is transforming everything, and as a part of this, the technology-driven economic model (TDEM) continues to evolve. You may have heard of this model as a technology-based economy model.

In July, Google is removing outdated Google Ads attribution models, favoring its AI-driven model for optimized, adaptable ad performance.