Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Cristani, C. and Tessera, D. (2026) A Foundational Protocol for Reproducible Visualization in Multivariate Quantum Data. Open Access Library Journal, 13, 1-13. doi: 10.4236/oalib.1114704 .

A research team from Soochow University has developed a novel artificial intelligence (AI) method to improve emotion cause ...

This study introduces a newly optimized triangular-finger electrostatic comb-drive actuator designed to significantly enhance force intensity and travel range within a compact footprint.

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

BackgroundAs pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, and energy ...

For decades, one of fusion energy’s hardest problems has been keeping superheated plasma from blasting holes in reactor walls. A United States team working on the DIII-D tokamak now reports using ...

Long-term marketing success stems from prioritizing skill acquisition, leadership mentorship, and adaptable goals over rigid job titles or specific tools.

The speed of light varies in materials, impacting fiber optics, laser systems, and semiconductor lithography through complex ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Of the many feats achieved by artificial intelligence (AI), the ability to process images quickly and accurately has had an ...