Equipment failures emerge from complex system interactions in real-world conditions that simulation cannot fully predict or ...

Researchers from Google DeepMind, BIFOLD, and TU Berlin have unveiled AI models that simulate molecular behavior without hard-coded physical laws, achieving competitive results through massive ...

Recent coverage highlights how simulation games are increasingly integrating deep environmental systems with expansive customization, from city-builders modeling pollution and resource use to modding ...

A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature ...

Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.

Over 35 years, city-building games have evolved to teach players environmental literacy and better reflect our relationship ...

Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.

Abstract: This paper introduces an innovative methodology based on data-driven for addressing collaborative control in multi-agent systems. A nonparametric representation model of the considered ...