A climate model running for thousands of simulated years has produced severe, decades-long droughts over the Maya lowlands ...

As large models, reliable robotic hardware, and real-world data flywheels converge, embodied AI is rapidly evolving into a new production infrastructure. Building on the industry's shift from ...

HIV-1 envelope glycoprotein (Env), a gp120–gp41 trimer, undergoes coordinated conformational changes that drive membrane fusion and allow immune evasion by transiently concealing ...

A research team in Germany developed a dynamic model of spray cooling for floating PV systems that couples thermal behavior, ...

Annotation automation fails in safety-critical edge cases where human judgment is the only reliable signal While autonomous vehicle programs have matured through standardized sensor configurations and ...

Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL ...

Solution also includes a new COM/Python API that exposes the simulation engine to external automation, the company explains..

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...

Across offshore energy, commercial maritime and defense, deploying people and equipment into subsea environments remains ...

The editorial, "Dynamics-driven medical big data mining: dynamic approaches to early disease forecasting and individualized care," published in Intelligent Medicine (February 2026, Volume 6, Issue 1), ...

User simulators serve two critical roles when integrated with interactive AI systems: they enable evaluation via repeatable, ...

Abstract: The dynamics simulation of complex railway vehicles requires a dedicated vehicle model, such as multi-body dynamics model. However, the multi-body model is time-consuming in long-distance ...