Stress Tests Reveal the Hidden Weaknesses of AI Credit Scoring Models
A new regulatory-aligned evaluation framework shows that the highest-scoring machine learning credit models can collapse under economic stress while a ...
A new regulatory-aligned evaluation framework shows that the highest-scoring machine learning credit models can collapse under economic stress while a ...
A new simulation framework combining computational fluid dynamics, molecular docking, and Monte Carlo risk modeling predicts how airborne chemical contaminants ...
Researchers in Japan have developed a formula-based simulation model that predicts the materials, waste, energy, and environmental impacts of solvent-based, ...
A new study of 1,432 young adults fuses health belief and technology acceptance theory with machine learning and a prototype ...
An ethanolic extract of the widespread weed Cosmos sulphureus inhibited mild steel corrosion in hydrochloric acid by up to 92.77 ...
A probabilistic risk assessment of urban soils in San Luis PotosÃ, Mexico, finds that lead and arsenic contamination poses health ...
Canadian researchers have developed a Monte Carlo-based framework that calculates risk-adjusted biodiversity offset multipliers, consistently achieving no net loss across ...
Researchers in India have validated OpenMC Monte Carlo simulations against gold-foil activation measurements of neutron transmission and activation in ordinary ...
Researchers in South Korea have developed a particle swarm optimization framework that lets datalink-enabled anti-ship cruise missiles replan target assignments, ...
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© 2025 Scienmag - Science Magazine