Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

Scientists have developed a floating PV digital twin system, trained on data from 155 physical experiments, using a two-tier artificial neural network (ANN) with a high-fidelity model and a ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

A new method predicts leaf optical properties from traits, improving canopy light modeling and photosynthesis estimates in ...

Even with simulation, critical failure modes like resonance-induced fatigue and connection looseness can emerge during ...

Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

The tool rush taught us what's possible. Now it's time to build the systems that make those possibilities scalable, & ...

Indian enterprises are moving GenAI from experiments to execution. CIOs explain how AI is being embedded into workflows, ...

2026 will reward those who move with intelligence, operate with precision, and execute with performance at the center.

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...