Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
A new AI “wrapper” helps detect uncertainty in pathology models, improving accuracy, fairness, and safety in cancer ...
To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species are located and then be able to predict what habitats will be available to ...
Abstract: We present an efficient method for uncertainty quantification in 3-D magnetotelluric (MT) inversions based on variational inference principles and the variational autoencoder (VAE) framework ...
To compete for capital, sustainability must be framed in the same quantitative language as any other business investment: return, risk and cash flow. This article bridges strategic intent and ...
In high-stakes situations like health care—or weeknight "Jeopardy!"—it can be safer to say "I don't know" than to answer incorrectly. Doctors, game show contestants, and standardized test-takers ...
Abstract: Uncertainty quantification is a vital aspect of explainable artificial intelligence that fosters clinician trust in medical applications and facilitates timely interventions, leading to ...
It's obvious when a dog has been poorly trained. It doesn't respond properly to commands. It pushes boundaries and behaves unpredictably. The same is true with a poorly trained artificial intelligence ...
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