The PRISSMM™ cancer data modeling system, enhanced by and licensed from Memorial Sloan Kettering Cancer Center (MSK), is a state-of-the-art data modeling system that allows users to curate clinical ...

More information: Shu Wang et al, Markov field network model of multi-modal data predicts effects of immune system perturbations on intravenous BCG vaccination in macaques, Cell Systems (2024).

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

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.

Meta has launched a new artificial intelligence system called V-JEPA 2, aimed at transforming how machines understand and ...

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 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 ...

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 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 ...

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 ...