How Blurry Labels Quietly Distort AI Maps of Hidden Mineral Wealth
New research shows that coarse, smoothed labels in continental-scale AI mineral prospectivity maps artificially inflate model performance while erasing high-probability ...
New research shows that coarse, smoothed labels in continental-scale AI mineral prospectivity maps artificially inflate model performance while erasing high-probability ...
A three-year benchmark in Indonesia's Sunda Strait shows deep learning models, especially a compact direct multi-step CNN-GRU, deliver the most ...
A foundation model-based AI system called WeedNet identifies 1,593 weed species with 91.02 percent accuracy and reaches 97.38 percent accuracy ...
A pilot study from the University of Bern shows that computational fluid dynamics built from routine CT angiography and ultrasound ...
A machine learning-guided search has produced a tungsten bronze oxide ceramic that combines a high dielectric constant, ultralow loss and ...
A new study comparing AI-based and physics-based weather forecasts finds both systematically underestimate heat-related mortality in Europe, but data-driven models ...
A new framework called VR-FraudNet forces large language models to propose structured fraud explanations that a fixed deterministic verifier must ...
A new review argues that fluoride health risk assessments focused solely on drinking water underestimate true exposure and proposes an ...
A new PLOS Water study finds that machine learning bias correction can transform flawed satellite rainfall and modelled river discharge ...
A new deep-learning method called VIMA converts tissue patches into numerical fingerprints and uses rigorous statistics to uncover disease-associated spatial ...
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© 2025 Scienmag - Science Magazine