Klemensas Mecejus explains why predictive, agent-based AI could finally crack construction’s productivity and cost overrun ...

Abstract: In power systems with high renewable energy penetration, rapid and accurate separation of positive-and negative-sequence voltage components under asymmetric faults is crucial for converter ...

Generative AI models have been used to create enormous libraries of theoretical materials that could help solve all kinds of ...

Engineers have long battled a problem that can cause loud, damaging oscillations inside gas turbines and aircraft engines: ...

San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source ...

Abstract: Aphids are among the most destructive pests that threaten global crop yields, harming crops through feeding and virus transmission. Accurate detection of aphids in fields is a crucial step ...