Bringing data modelling back doesn’t mean slowing down. With Agentic AI, it means moving faster without compromising on ...

New study gives conservationists a simpler, general approach for predicting an ecosystem’s tipping point and what comes next ...

Additionally, obtaining output data from high-fidelity simulations is costly ... have been applied to the ionosphere-thermosphere system using the Whole Atmosphere Model, WAM-IPE.

The azimuth modeling is reportedly accurate within 3 degrees for between 91% and 95% of the systems evaluated. The researchers showed how LiDAR data* can be used to estimate solar PV and solar ...

Data modeling takes a more focused view of specific systems or business cases. There are several enterprise architecture frameworks that commonly serve as the foundation for building an ...

The SQMT project required a data model that could accommodate diverse requirements from different geographical regions. This challenge called for a deep understanding of how to design systems that ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance ... This is important for improving model fairness and robustness ...

The joint requirements oversight council, or JROC, is currently working on a capstone initial capabilities document, which will outline data standards for simulation and modeling systems the ...