A survey of world models for physical AI with uncertainty representation and control
A technical survey finds that reliable physical AI depends on co-designing learned world models, uncertainty representation, prediction horizons and closed-loop ...
Tag: uncertainty quantification
Bayesian Network Matches Classifiers for IgE Sensitization Risk
A Bayesian network calibrated sensitization probabilities in 8,285 NHANES participants while matching logistic regression and random forest for discrimination, offering ...
Task-aware conformal power envelopes for multi-horizon spacecraft monitoring
A BUPT-1 study selected joint uncertainty geometry for multi-horizon spacecraft power monitoring and reported empirical coverage and sharper power intervals ...
MCMC sampler fuses satellite altimetry and ensemble simulation to reconstruct Mediterranean sea level variability
A new MCMC-based ensemble method fuses satellite altimetry with a 30-member ocean model simulation to reconstruct 26 years of Mediterranean ...
Deep Learning Meets Its Match in Genetic Disease Prediction as Uncertainty Steals the Show
A deep neural network lost the accuracy race against random forest and SVM on a genetic disease benchmark, but its ...
New R package turns messy school and clinic counts into honest proportions with uncertainty
sitemix, a new open-source R package, computes site- and group-level proportions and standard errors from individual records or published counts, ...
AI Learns New Machine Faults Without Forgetting the Old Ones
A new incremental few-shot fault diagnosis framework uses a diffusion model to generate synthetic samples for rare new fault classes, ...
AI That Knows When It’s Unsure: New Brain Tumor Model Flags Its Own Doubts
A new calibration-aware Vision Transformer framework classifies brain tumor MRI scans with over 98 percent accuracy while flagging uncertain cases ...
AI that learns from the lab: a new blueprint for antibiotic alternatives under resistance pressure
A research team proposes a framework of explainable, uncertainty-aware prediction, biologically constrained generative design and iterative design–test–learn cycles to make ...
AI Curator Puts Public Brain Tumor MRI Data Through a FAIRness Makeover
An AI-assisted framework called NeuroFAIR Curator systematically enriches metadata, screens quality, prioritizes samples for review, and boosts FAIR readiness of ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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