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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Quantifying the uncertain" (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 the uncertain"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
Beyond P(doom) for AI Risk: Quantifying Uncertainty Without Probability
CSET | Center for Security and Emerging Technologytech

Beyond P(doom) for AI Risk: Quantifying Uncertainty Without Probability

<a href="https://news.google.com/rss/articles/CBMirgFBVV95cUxOZTJIMEhJQXFBOTZfaC00d0VEUllqemUxYnV1Sk03aGpJZVBXMFNDdVozN2tteHlFOWZ1WmNXUEZPSDI0Nk92ZFlMSk9oNTN0SzhtVFVLUnVaSnBBWDlGUlpFU2ppT3c3VmNfaG9wM0pUb0ZlRDhleGdTVTdwTldrTkF1cWpMeVJQYmd1NFgtYlBaNERvUWp3YXpmUnB4TUNsNzFmMGNRYjZpeFU2OUE?oc=5" target="_blank">Beyond P(doom) for AI Risk: Quantifying Uncertainty Without Probability</a>  <font color="#6f6f6f">CSET | Center for Security and Emerging Technology</font>

Survey Statistics: quantifying uncertainty in ranked choice voting polls
Columbia Universitytech

Survey Statistics: quantifying uncertainty in ranked choice voting polls

<a href="https://news.google.com/rss/articles/CBMivwFBVV95cUxQNkt0N2haS05LRzRFMFdncFhSUDBqYUZHdU1IU21Nc3FxZUdsdnFGZmIzYlJRc3c1MnRIcUNDdml3Mm5CUV9qcmRWd1doTFMtMmFneEszM2JHUzhXTHdzdG9TMnVwUF9WZFZjU1M0bFFvdUdrWEMzemdTQ21Ca1hpcjN5Z2FMOUdoVzNBcXpYb2tHd3ZRVFRVR0pKWXZJUTFidGNNb2FPWm85ZXZ1M19UM3BhdjJqeVk2eWpuTnUyQQ?oc=5" target="_blank">Survey Statistics: quantifying uncertainty in ranked choice voting polls</a>  <font color="#6f6f6f">Columbia University</font>

Uncertainty Toolbox: A Software Toolbox for Quantifying Uncertainty and More
Department of Energy (.gov)tech

Uncertainty Toolbox: A Software Toolbox for Quantifying Uncertainty and More

<a href="https://news.google.com/rss/articles/CBMiswFBVV95cUxPaDZIM2RHa1c3SEgyb0RhbUdFMzNVVkdsUjFxU1NqcnNTaTdSb0k4RGMwRFR6b0RuNng2VjIwcTJqZ0FBa04tcWw3bl9lTkV4VGZ4aEtmVks0ZlAzc0hhTmtUVV9fS3otdGlGdnl4LXk4OGdMUDNTUWVnSXdwUFVGWlN4dHhlSFF5b2dlMlNHN0xaSnp4dEM0amtsdl9RejhXbGNfUWt4ZmJmUkFqYTY4eWs4NA?oc=5" target="_blank">Uncertainty Toolbox: A Software Toolbox for Quantifying Uncertainty and More</a>  <font color="#6f6f6f">Department of Energy (.gov)</font>

The Cost of Uncertainty: Quantifying the impact of policy volatility on investment in the global economy
Oxford Economicstech

The Cost of Uncertainty: Quantifying the impact of policy volatility on investment in the global economy

<a href="https://news.google.com/rss/articles/CBMi3gFBVV95cUxPV3ZQbW56ckxGSUdlelNaa2Mtekp4dGJfWnlPX3p4MjUzSmlRSTJvQXBBdlhZeWxWYkJzcWItMU10dGtkaGh0Y19lb3RrU1g5ZmxUc0ZjVnFGS0FYeGdSNi13dHFQQ1lqUk1fcWhVdG9NUkMteXE4N0dzOThPYkw4Q0ExSWVfMjJIMWJPUkxVc1dORXhSSm96R1RhSXhlNjZxUFhzdU9ZVFZraV9UeE9zUC01clFGTVZnbFl1bGxKQ19NM1JHN2tnV1p4RTZlNS12S3dfRjJDOGR4by1jRVE?oc=5" target="_blank">The Cost of Uncertainty: Quantifying the impact of policy volatility on investment in the global economy</a>  <font color="#6f6f6f">Oxford Economics</font>

Quantifying uncertainty in protein representations across models and tasks
Naturetech

Quantifying uncertainty in protein representations across models and tasks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1sdWpnWGxZRE50QzN0SmZjX0E5WGVES1J0MnJpY2NDc2JzdlBsSGNIRTM0aEN4V29VWTNhWjFYQU1LUlN3blhXaDVtZlVneldlVnNKVTM0anhBLXZZYlZn?oc=5" target="_blank">Quantifying uncertainty in protein representations across models and tasks</a>  <font color="#6f6f6f">Nature</font>

Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs
The Association for the Advancement of Artificial Intelligencetech

Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTFBULTZKSEM2SGN6REtjTVM4U2hzRDdHR0U4aFdrWHdCWFViQXZMeEpadnkyb0FxRzRlUXpYbzNjUmJuV0pxbnNrSWhRekFtZUdvOFJrMnVTemNROFEzcElqV1BMdVU?oc=5" target="_blank">Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Quantifying uncertainty to produce more useful solar generation forecasts
pv magazine USAtech

Quantifying uncertainty to produce more useful solar generation forecasts

<a href="https://news.google.com/rss/articles/CBMiswFBVV95cUxQRkc1eVpBOVM0UkpTYVByaVIxb2pKQ1k3enJKUHczVlpkd3UtVE1xUGxJaXlsLWxwMGpNbjNJOWMzbXl5Vk9QenV4TUR2bkhyTUNkaXd4VzdRZTF1VmZHcmpNTVRFa2xwSU0wcldOTXhXb1JkNGswWWNLTkZLMm9zZDRZeU5sVjdNcnpvSW5yTjgzM3QxekpRd3lHQWFsTWFIWGVGMWRVbVVVQ2tOZEFvMzRlQQ?oc=5" target="_blank">Quantifying uncertainty to produce more useful solar generation forecasts</a>  <font color="#6f6f6f">pv magazine USA</font>

Managing Uncertainty in Benefit-Cost Analysis
The Regulatory Reviewtech

Managing Uncertainty in Benefit-Cost Analysis

<a href="https://news.google.com/rss/articles/CBMimAFBVV95cUxNN2kwMHpHZXJrZmJleENfeWhxVmJDYWV2MGs4cFFoMUZsSGpWOFBQZUJEODZ5SHZMNVpfVUZaX2xxeGVSS09JMHludU54cnkxTmk3a0syNmtfUGl3bXBiSVFvMF92YjNlRHpscVZsZTNIRGFxd280SUctYkx6d0lvdXVDZmtPbkt4Y3VsZjFMaHltbTF6OVZVRw?oc=5" target="_blank">Managing Uncertainty in Benefit-Cost Analysis</a>  <font color="#6f6f6f">The Regulatory Review</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>

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>

Quantifying mean, variability, and uncertainty in indoor radon exposure in Pennsylvania using random forest and quantile regression forest models
Naturetech

Quantifying mean, variability, and uncertainty in indoor radon exposure in Pennsylvania using random forest and quantile regression forest models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFAxQkNNcjc4NnBFVFZlVUhSdlpsU0dQRS1MR0poVWt1TTF4VE83dEt6VWt0MDFRQlQwWWt5SVJqSGNGY1g1VE1iTFptdS1xS3hWdENoSWhlLWFIbm8xNkZZ?oc=5" target="_blank">Quantifying mean, variability, and uncertainty in indoor radon exposure in Pennsylvania using random forest and quantile regression forest models</a>  <font color="#6f6f6f">Nature</font>

Quantifying central canal stenosis prediction uncertainty in SpineNet with conformal prediction
Naturetech

Quantifying central canal stenosis prediction uncertainty in SpineNet with conformal prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBVZUNZRXZsTWZQODJCMkZJQkpiUzJfRU9LYTh5YTZrazF3U2JDZGRKMEdtU3R5Z08xbFJMRGlqY3Zmaml0ZGZ1SHd6TS1aQzg0ajNKUmk0SW9EQUtFN2k0?oc=5" target="_blank">Quantifying central canal stenosis prediction uncertainty in SpineNet with 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>

Quantifying the uncertainty of LLM hallucination spreading in complex adaptive social networks
Naturetech

Quantifying the uncertainty of LLM hallucination spreading in complex adaptive social networks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE92WDNnb2liaF9lb19HM3lGM0hhZ2swbHFHLVFEUXVDaktWdkozNTZlak83a096SkNJYXZBVWg2QnJEMy1vbmtGT0VMYXdXZVdSRzE3N0M1TmI1ZUVBUXk4?oc=5" target="_blank">Quantifying the uncertainty of LLM hallucination spreading in complex adaptive social networks</a>  <font color="#6f6f6f">Nature</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>

Quantifying the impact of uncertainty on threat management for biodiversity
Naturetech

Quantifying the impact of uncertainty on threat management for biodiversity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBxdXJ6cXFiZTN1bjBuTTJ6WGxxQ184d3MxWnZUQzlkaWt3S2VPMkR6ZjJJUVQybnV0Yjg2NFhScW9tYkppMHc4Wm9KV0JjTXZJTVM3ZnptZDVGNEtUVmlJ?oc=5" target="_blank">Quantifying the impact of uncertainty on threat management for biodiversity</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>

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>

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 About Earth’s Resources
eos.orgtech

Quantifying Uncertainty About Earth’s Resources

<a href="https://news.google.com/rss/articles/CBMif0FVX3lxTE5sSFhUUHpaUUotRDJtRTdwZWFxalJfNWpzOGlkVFNtTzV2dU9jbUJYM1dZUE5DOFh2THlSaGdMUHpXamktRzhQN1JlX3pPNko1Q3VONk9MOFdfZWJ0WXJIVmJTQVRhVjdtMUVlazRfTXpCSThnVERua2N0TGFVSlE?oc=5" target="_blank">Quantifying Uncertainty About Earth’s Resources</a>  <font color="#6f6f6f">eos.org</font>

Recommendations for quantifying and reducing uncertainty in climate projections of species distributions
Wiley Online Librarytech

Recommendations for quantifying and reducing uncertainty in climate projections of species distributions

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE5EMlhLQ1FhTkNKMUlpbFBGVlZGRUNwcUxLN0owMGgyVFNHTU9oaDF6TVpNT2NwTUlBNVBwS2N1akhYY2xnbUk5QWdHUmhWLWZzUHFRU0tzYzhnZWU5bDE2emF5U3V5c2FjeVE?oc=5" target="_blank">Recommendations for quantifying and reducing uncertainty in climate projections of species distributions</a>  <font color="#6f6f6f">Wiley Online Library</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 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>

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>

Uncertainty Analysis and Bayesian Calibration
Argonne National Laboratory (.gov)tech

Uncertainty Analysis and Bayesian Calibration

<a href="https://news.google.com/rss/articles/CBMiekFVX3lxTE4tWFVCR0xDREdLTnpLbnpnTXN3VTBNYlUwbHZsUXdVOFk1cTRRekJuc043RkJGYW5FSmJla0lFSXRBa0JzM0ItUzdjNlhtbHA1a1Q2M1pIMlVQbHlpN20tMDRxb1VlbGlrUVM4VktTd1dNSmtDZkNXVFB3?oc=5" target="_blank">Uncertainty Analysis and Bayesian Calibration</a>  <font color="#6f6f6f">Argonne National Laboratory (.gov)</font>

Quantifying the Impact of Bedrock Topography Uncertainty in Pine Island Glacier Projections for This Century
AGU Publicationstech

Quantifying the Impact of Bedrock Topography Uncertainty in Pine Island Glacier Projections for This Century

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTFBvUEdSbVhqdGFtZ1VkWVdLNVREVjZtNUxEaE93eHBJRHpkbHQ2bHZMZkh0Slota01yZ1BGU3N4QmtPVVU1Q0FtUlFRdnU4LWRhQVBFbkJucXJoaFJVdk5nY3FoSkFoSXQwaUJYWVo4ejl6OU5KOGhMaQ?oc=5" target="_blank">Quantifying the Impact of Bedrock Topography Uncertainty in Pine Island Glacier Projections for This Century</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>

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