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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Quantifying uncertainty o" (30 stories)

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Quantifying uncertainty in catalyst activity and deactivation during CO
Lead StoryNaturetech
Jul 31

Quantifying uncertainty in catalyst activity and deactivation during CO

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBEU2NWN0o4Y1A1cm02SlRNellrRHVJSEJ1YTF1SFZwbE10UVhUUjNaNlZhb2thcWRCREtJT0xHRF9PTlBGeU9wWk41WjBGZUEyMU0yaGJWRzdUcnJkR0Ew?oc=5" target="_blank">Quantifying uncertainty in catalyst activity and deactivation during CO</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Quantifying uncertainty o"

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29 stories displayed
Digital methods to quantify sensor output uncertainty in real time
Naturetech

Digital methods to quantify sensor output uncertainty in real time

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5qUWdNNTdoTHozMjVMNWJLdzBuazByd2xzclhKYk5VMzRNRk11bWZiNjE2U2tabjVHWTl2UjE4NTZ5NnZGXzliLWVzN2dDUGhQOG5idWp3eHdhaDd5MWhJ?oc=5" target="_blank">Digital methods to quantify sensor output uncertainty in real time</a>  <font color="#6f6f6f">Nature</font>

Researchers Bound Quantum Entropy Estimation Samples
Quantum Zeitgeistworld

Researchers Bound Quantum Entropy Estimation Samples

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxNeXlyZlM4R3FJc2tkMDV5X3Q3d3FUNFYtenVBTHdXUXBoVHc0YkxKek1sTE5jSFBfdllKOUw0LTRoSWQ1UXlGZHZTT2pKWUh3LThCY3FobGVFYkx4R2tub05sVnBwakY4Z0M3U0pUY2pOUXdBUWJkRHA5YTBTVVZRRzRoRXFJQ3hyYTFVakpqOTNzZUJLcFRxQw?oc=5" target="_blank">Researchers Bound Quantum Entropy Estimation Samples</a>  <font color="#6f6f6f">Quantum Zeitgeist</font>

Quantifying Uncertainty in ML-Derived Atmosphere Remote Sensing: Hourly Surface NO
AGU Publicationstech

Quantifying Uncertainty in ML-Derived Atmosphere Remote Sensing: Hourly Surface NO

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE5sRG1NMlhFQUgyeUZGYXFJSEZZMnVobHJOVlViRlZmRFJKWUdDcWU0TUlpbFRjQzdqV21WSHk5dW4yUVZkWnFFdlR2X1RERU1vU09jVWhBY3Ezak9YRXRSRnFvU0hCYzUxZXNEc2Iwb2Nhc3BvalVmMQ?oc=5" target="_blank">Quantifying Uncertainty in ML-Derived Atmosphere Remote Sensing: Hourly Surface NO</a>  <font color="#6f6f6f">AGU Publications</font>

Quantifying uncertainty of machine learning methods for loss given default
Frontierstech

Quantifying uncertainty of machine learning methods for loss given default

<a href="https://news.google.com/rss/articles/CBMisAFBVV95cUxPa2M0MWFQQkV0SEZkbHFTQkRvQjVvNEQ5X08xdnRZMENLS0VkN3lQMkZ6NDAwQ0FuSkFCdHVwQTBfM3BiMjJicWZERlFUMFNtM2d0Wm9iLTJ1WmJtTzhRb2hVcmVyejdpZDVhMDhrd3RfNUJkcUlWT1p6Z3RvcUpwNHV6UC1qVThCZXlMWFI5LVp5YnNkS0RrTFVFRTZGeENxWm92OXFCZEtZNE54SUppUA?oc=5" target="_blank">Quantifying uncertainty of machine learning methods for loss given default</a>  <font color="#6f6f6f">Frontiers</font>

How Should We Quantify Uncertainty in Statistical Inference?
Frontierstech

How Should We Quantify Uncertainty in Statistical Inference?

<a href="https://news.google.com/rss/articles/CBMinAFBVV95cUxNWm85SHA0QV8yQ3RMbnlOQjhNY1RIWTRvQUFqUnRnOXdZM2hrZFBCY1hQWWpjOFI0akpnVkpBeUdQSDFfcjlLZ2QxMmdGeDhucmZJbkFyQUt3UFdHU05HNnFWOWFMMlptYVhpZlMyQk1wQWk3UWhUbEs2bk9aSDc4T0N1c1RVenpTN1Y3WXFuTk1ETE9vOGZ5ZjUxVGg?oc=5" target="_blank">How Should We Quantify Uncertainty in Statistical Inference?</a>  <font color="#6f6f6f">Frontiers</font>

Quantifying the Uncertainty Created by Non‐Transferable Model Calibrations Across Climate and Land Cover Scenarios: A Case Study With SWMM - Sytsma - 2022 - Water Resources Research
AGU Publicationstech

Quantifying the Uncertainty Created by Non‐Transferable Model Calibrations Across Climate and Land Cover Scenarios: A Case Study With SWMM - Sytsma - 2022 - Water Resources Research

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9jSjEtb3BxYnRDOTBSc2xrLUFscHh2ZlFpdFh4RUo5U0pWYUdFbl8xdHNOdUNkMDl0T29KRzllRmk3Yy1VQU1nV1RyamFQakR5S1pJTnJVZzVBYTRfVHB2SGt2OERPdElCYk9ZckdILXp2MThLRFl2Qg?oc=5" target="_blank">Quantifying the Uncertainty Created by Non‐Transferable Model Calibrations Across Climate and Land Cover Scenarios: A Case Study With SWMM - Sytsma - 2022 - Water Resources Research</a>  <font color="#6f6f6f">AGU Publications</font>

A framework for quantifying uncertainty in DFT energy corrections
Naturetech

A framework for quantifying uncertainty in DFT energy corrections

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBINGtWWTU1ZkJib0tKZDEtdHpWQ19BMWt3ZHpWbEt0TUhDVUtWNUMyWmsyLWFjd0lWWGlSeXlYbWJ4akIxYlNNajRObWg0SjBBdHRleDM4S2I1aGJXZ21z?oc=5" target="_blank">A framework for quantifying uncertainty in DFT energy corrections</a>  <font color="#6f6f6f">Nature</font>

Uncertainty Quantification in Geochemical Mapping: A Review and Recommendations
AGU Publicationstech

Uncertainty Quantification in Geochemical Mapping: A Review and Recommendations

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE4yN1NRX0JraWNkVG9UX3NycGFRNkFpckpTVmtYT2xTa1JUWEtiaG9LMUxwcE1XU2VIMVVWVDZGdDJjNUdwZ0hkeGVVOHU3T1hZei15ZEhhQkM0MmhvdzZNazdKMXVnYzBqMm85UmJYNTh4M0dST3ZoVg?oc=5" target="_blank">Uncertainty Quantification in Geochemical Mapping: A Review and Recommendations</a>  <font color="#6f6f6f">AGU Publications</font>

A general framework for quantifying uncertainty at scale
Naturetech

A general framework for quantifying uncertainty at scale

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvc2N5b2c5TnJvaWFUM3dIRUxrNmtzR1VaREZqOS1NdWp2UUl6N0hwNHdBaEdSTWFaQno4WkNaOTlYeHM4aTNxRVdQa21NZkJ2TUF1NWpLWU90Zm5CcHFJ?oc=5" target="_blank">A general framework for quantifying uncertainty at scale</a>  <font color="#6f6f6f">Nature</font>

Quantifying uncertainty in aggregated climate change risk assessments
Naturetech

Quantifying uncertainty in aggregated climate change risk assessments

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBSaF9JTW56Ql9LVko1ZUx5RFJLcGJ4eWY4UWRYVjU0d2lfVmNXanBfT0Z1RFNsbV9BR3dzaUhaSGlxSmw2bkJpazlCZ0dibzNaNnh0Mi1VN2Z3VzhlVWxn?oc=5" target="_blank">Quantifying uncertainty in aggregated climate change risk assessments</a>  <font color="#6f6f6f">Nature</font>

Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Naturetech

Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBqZG0yOGpBeWRxTmlmVGJsZC1PckI5UVVVc2VYMzQ5WnNKczAwcmNudVNPOW1ON01UcXNSellmTzFMdEIzM2p1UDFBZXNfYmIzVTFkOHJKQWNGWkpELUpn?oc=5" target="_blank">Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction</a>  <font color="#6f6f6f">Nature</font>

Quantifying both socioeconomic and climate uncertainty in coupled human–Earth systems analysis
Naturetech

Quantifying both socioeconomic and climate uncertainty in coupled human–Earth systems analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9iWXdWcG8wOTgtVlhtaU5uZ0JnOW9KUGFYZERpZHcydnZQcHBsZVBGS1dfclJJcXVjT2hEdHpzeXoteEFhbkNYbVdvbWU3U1dzclFuOFJBMXphd1NkXzNj?oc=5" target="_blank">Quantifying both socioeconomic and climate uncertainty in coupled human–Earth systems analysis</a>  <font color="#6f6f6f">Nature</font>

Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles
Naturetech

Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE11ZjZZd041NFpNQTRjZ2owRVBYTDFOZGZhQ3BsUHM0TlljOER4RU0xM2R1d3pvVXFtTDNmbWdKUk9sd0ZEQ2JtaWRxRVpxRnZRX19jMzRXODBIZ3YzWDhV?oc=5" target="_blank">Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles</a>  <font color="#6f6f6f">Nature</font>

A novel approach to quantify out-of-distribution uncertainty in Neural and Universal Differential Equations
Naturetech

A novel approach to quantify out-of-distribution uncertainty in Neural and Universal Differential Equations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE83MllOVEZmQkhZcnlmS29CWi1QRmtHekplSFpadkt5WVg1clpQYmhUbmhSWXdRNFNLMGdxTEFWbkpXc05qbnBGenZ2aVlrcFB5T3pUUVBfTGVtTWFpVTZR?oc=5" target="_blank">A novel approach to quantify out-of-distribution uncertainty in Neural and Universal Differential Equations</a>  <font color="#6f6f6f">Nature</font>

A universal similarity based approach for predictive uncertainty quantification in materials science
Naturetech

A universal similarity based approach for predictive uncertainty quantification in materials science

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5SVHYyelpKcGxST3ZmdlhlUm9INmtqc2xKSmNaUHJsejFkTk16NXlscjVsYjM2TFltaTFmdHM1OHhwWko5ZFZ6bUphX2NvY3NQdHZGZTk2cmJnc180NnVZ?oc=5" target="_blank">A universal similarity based approach for predictive uncertainty quantification in materials science</a>  <font color="#6f6f6f">Nature</font>

Uncertainty quantification for Bayesian active learning in rupture life prediction of ferritic steels | Scientific Reports
Naturetech

Uncertainty quantification for Bayesian active learning in rupture life prediction of ferritic steels | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB0WDdKSVhMeEdQNXNsNlJGbnFpUVpkd3ZadWEwaW1YTHpXaER4UUFXcWxJeHk2QVJ2bzVxQkRDMXhQaDBVT0ctUlNDR2Y2QUM1d25naHB1ZFYwaERhaUpN?oc=5" target="_blank">Uncertainty quantification for Bayesian active learning in rupture life prediction of ferritic steels | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Personalized uncertainty quantification in artificial intelligence
Naturetech

Personalized uncertainty quantification in artificial intelligence

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9aR2RudkNfX0YtUXZEVG8wbkgwUlAxUUhreGZtaWxRaF9XcGVQTkRjX3NqaFc3N2lzNG12LWtfT1RFZENpUWRCeUlzVzctOE9ILXpEa0c5WU5qT3UzM2hN?oc=5" target="_blank">Personalized uncertainty quantification in artificial intelligence</a>  <font color="#6f6f6f">Nature</font>

Quantifying deep neural network uncertainty for atrial fibrillation detection with limited labels
Naturetech

Quantifying deep neural network uncertainty for atrial fibrillation detection with limited labels

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9OWEpiTGVYcmU3Zlp1Z1loRlJ2ZUJQWjRiOXpMb1ZFSEROZVhMM3R3bmZrSnVER0Rva1lTTHY0M1J1aWFKUW4zbl9laDRqaTVrWnlST0hKNW5EVkxETFlB?oc=5" target="_blank">Quantifying deep neural network uncertainty for atrial fibrillation detection with limited labels</a>  <font color="#6f6f6f">Nature</font>

Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks
Naturetech

Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE55MmpQZnlPSjlKY2ZsRHdfYldDWGhrYWdoRl9wb3kwaVhVZ2tOOExLcW1UUG8tdnJBNzYwbDh3VGM4MkE5YXJUWk1PM052TUY1d3gyVTZqQlNaNFV3MGE0?oc=5" target="_blank">Uncertainty quantification in multivariable regression for material property prediction with Bayesian neural networks</a>  <font color="#6f6f6f">Nature</font>

Uncertainty quantification for misspecified machine learned interatomic potentials
Naturetech

Uncertainty quantification for misspecified machine learned interatomic potentials

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1kNkVya3N0djNwZVZMejNINGR1ZURkWGhMdlQ3YjFtQUVjSGJYQ3RFZklXbkt3NFMwaFhzaVd0QmNwNkZTTEhiY1BNdkkwdzdJTGF6RFBEUkNEOTVEc2hZ?oc=5" target="_blank">Uncertainty quantification for misspecified machine learned interatomic potentials</a>  <font color="#6f6f6f">Nature</font>

Quantifying the Uncertainty Sources of Future Climate Projections and Narrowing Uncertainties With Bias Correction Techniques
AGU Publicationstech

Quantifying the Uncertainty Sources of Future Climate Projections and Narrowing Uncertainties With Bias Correction Techniques

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE5Eejc4QmJMejRTX3N1V0RBQzBxQTBLUGd3NVljd1AwbUxPdHdVYUNzVHo4NTZoc1pJUnVWLTczMkZpT3VZN1dac3RiT1VJWEdJZUFKY1RCeFBZQl80ak4zVHl4M3NBcjVfclc1SW10alE5V0diLThpNQ?oc=5" target="_blank">Quantifying the Uncertainty Sources of Future Climate Projections and Narrowing Uncertainties With Bias Correction Techniques</a>  <font color="#6f6f6f">AGU Publications</font>

Quantifying uncertainty in wave attenuation by mangroves to inform coastal green belt policies
Naturetech

Quantifying uncertainty in wave attenuation by mangroves to inform coastal green belt policies

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5nM25OSVNYeEwzd0oweERCdDRKdU1VRG5iWEVBZDlBdUJaUjRnRDRheWgtUFNnZjNVTVpCUkQtOEZvWTVsMlN1VTZiQ2VDSGRfMW43Mk03WFVvMENjZzdZ?oc=5" target="_blank">Quantifying uncertainty in wave attenuation by mangroves to inform coastal green belt policies</a>  <font color="#6f6f6f">Nature</font>

Quantifying the unknown impact of segmentation uncertainty on image-based simulations
Naturetech

Quantifying the unknown impact of segmentation uncertainty on image-based simulations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5PeldEOHFjRWFKSzJmaUNUM1JRN1Bqc2dta3QybWg3c3JoZ3UxaU5sVDJfem8yT1ZEdlNZOGxoNzJDenJnazQwemRUV1BEZlkwcXFzZXFQTFE4UFo5RV9z?oc=5" target="_blank">Quantifying the unknown impact of segmentation uncertainty on image-based simulations</a>  <font color="#6f6f6f">Nature</font>

Quantifying uncertainty sources in an ensemble of hydrological climate‐impact projections
AGU Publicationstech

Quantifying uncertainty sources in an ensemble of hydrological climate‐impact projections

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9La3N3VjBGeFVhejA3ajZ2bmlKQWxxN0pyOXl5dHBOUUdsRWtNMWVMVGc4MkRYamxCUnVIMHBhbklOOGZzWGVWb0Z2NnhuQTB3c2k0X2dxNlI3WVJxMFl5NEFTejBxWVBpbml5WlBFNFd1TTh3YkxQMw?oc=5" target="_blank">Quantifying uncertainty sources in an ensemble of hydrological climate‐impact projections</a>  <font color="#6f6f6f">AGU Publications</font>

Uncertainty quantification enables reliable deep learning for protein–ligand binding affinity prediction | Scientific Reports
Naturetech

Uncertainty quantification enables reliable deep learning for protein–ligand binding affinity prediction | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3S1ItcWFqSlp5bFNTNjU5Um9OT21MUnoycER3cmJPN1BiS2prN3FYcHNkQWdqSVUwd2ZwbXR3blU0aTRJVUM4NGNiY0NfN1dWQm85UTNlOU9tNW1leFVN?oc=5" target="_blank">Uncertainty quantification enables reliable deep learning for protein–ligand binding affinity prediction | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

A new approach for uncertainty quantification in predictor-corrector quasi-static Monte Carlo transient simulation
Frontierstech

A new approach for uncertainty quantification in predictor-corrector quasi-static Monte Carlo transient simulation

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxNazRQWjVqM1pmTnI2cGJxeEg4bDNXV1dNMTVJNmVXaGZMWGxiUEpYek9VVGFxZVR0VW0xSEYxd0tjQ3didnFHRElLWF9ZMTFRZE5LMlpEenZRMXBEWi1ibVAtVktWcHkteGt0Tnc0cWh4aEZVaUhuV1ZHQ3diU1JsbGh5VWRPWWMyN0FmSzhOdWluQ1lNT2FDTQ?oc=5" target="_blank">A new approach for uncertainty quantification in predictor-corrector quasi-static Monte Carlo transient simulation</a>  <font color="#6f6f6f">Frontiers</font>

Uncertainty quantification for basin-scale geothermal conduction models
Naturetech

Uncertainty quantification for basin-scale geothermal conduction models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9HbWh4NnkwZkpqbFhydEpiUGV0M0ZXVWhsM2FqRkNtcTFUQk5QYThkRnFLYklxSWNJYldxRFU0c0tuS0R2d3JZTEVEd0l1NnRHdFJadlV1TW9FWUt3UmRB?oc=5" target="_blank">Uncertainty quantification for basin-scale geothermal conduction models</a>  <font color="#6f6f6f">Nature</font>

Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning
Naturetech

Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBlRl9DNkhlWFlmSTdqX01Ra2hSc2x1Nmdyc1lMYzdMWU1SOXdsdHZJb1FlTDh6Um1uZm1vazNPWE5aYWZyRFQ5dDdLSWJwd1JicHV4ZjVpVFZ6MkZSNFZr?oc=5" target="_blank">Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning</a>  <font color="#6f6f6f">Nature</font>

Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems - Srikrishnan - 2022 - Earth's Future
AGU Publicationstech

Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems - Srikrishnan - 2022 - Earth's Future

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTFAtOGliY0ZPZnVnWUtQX3dkYTBsMnNJRV8xS2FRZmtWQlFubm9HSW5nYkdCb0w5QkNrZTNjMURuYm5zLTlpWG1NYTdpOUVJUDhrdTF3UnhkNlc1akRjZzZXUmtHZjR5a3RKeVotOGhIWFpnZGg3aTVHeg?oc=5" target="_blank">Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems - Srikrishnan - 2022 - Earth's Future</a>  <font color="#6f6f6f">AGU Publications</font>

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