Utilizing reduced-order dynamic math models (DMM) in linear system-level dynamic analyses is a well-known practice that enables extreme computational ...

1 Futbol Club Barcelona. Complex Systems in Sport Research Group, INEFC, Universitat de Lleida (UdL), Barcelona, Spain Correspondence to Dr Natalia Balague, Complex Systems in Sport Research Group, ...

In 2026, R&D speed is about learning faster, scaling responsibly and reducing risk in an increasingly complex system, says ...

Efficient Large Displacement/Large Rotation Dynamic Simulations Using Nonlinear Dynamic Substructures Utilizing reduced-order ...

AI agents are replacing mockups with working prototypes; teams now plan in 3–6 month cycles, changing handoffs and feedback loops.

Advanced perception and reasoning software enable safe humanoid navigation in real-world environments, says RealSense.

Motion systems expert Michael Everman discusses why design engineers are opting to bundle multi-axis precision into drop-in platforms.

Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have created a chip-scale device that can dynamically control the "handedness" of light as it passes ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.