MMS, an award-winning, data-focused clinical research organization (CRO), announced today its acquisition of Exploristics, a ...

AI-enabled tools in the simulation and modeling community are actively developing and many ... people who build these tools (e.g., researchers, software engineers and data scientists) as well as ...

The authors call for a change of model to apply the FAIR principles—which ensure that data is findable, accessible, interoperable and reusable—to simulation results. "The community has assumed ...

A team at Stanford has shown that using fewer, higher-quality data points can speed up complex simulations. The method could ...

Social scientists and economists are using analyses and algorithms to model societal adoption of new sustainable ... Integrating these tools into our processes and using the data we have collected as ...

By incorporating the physical model-based predictability of theory and simulation as low-fidelity data, the lack of quantitative experimental data that we want to predict as the high-fidelity type ...

Silicon photonics is rewiring the future of data centers. But engineers need more advanced simulation tools to integrate ...

Areas of potential collaboration or skill-building: network science tools, human cognition (particularly language-related), grant writing, R programming for simulation, network analysis, data ...

Stochastic modeling presents data and predicts outcomes that account ... every time for a particular set of inputs. The Monte Carlo simulation is one example of a stochastic model; it can simulate ...