We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...
Abstract: Solving constrained multiobjective optimization problems (CMOPs) is a highly challenging work. Numerous complex nonlinear constraints significantly add to the complexity of CMOPs, resulting ...
FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
Abstract: Time-varying constrained nonlinear optimization problems are widely encountered in various engineering fields. Existing solutions primarily rely on continuous-time models, but their ...
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Solving quantum computing's longstanding 'no cloning' problem with an encryption workaround
A team of researchers at the University of Waterloo have made a breakthrough in quantum computing that elegantly bypasses the ...
GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
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Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
The study of complexity in political decision-making addresses crucial questions at the intersection of cognitive science, ...
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
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