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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Uncertainty quantificatio" (30 stories)

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Uncertainty Quantification for LLM Function-Calling
Lead StoryApple Machine Learning Researchtech
Jul 15

Uncertainty Quantification for LLM Function-Calling

<a href="https://news.google.com/rss/articles/CBMijwFBVV95cUxNNGdZTEk1cmdWZjFxYURtQTFMNl93S3lNalpjeks4UlJGT2JRQmdxaEN5bU1WUWp4MW5fblVXS1lRMDlUaGNnV2JhZDdGUkJ1WHRrWjVNUTVXUVVVX1dITVA1QkdWZ1NNZXh5OXhOekpUaExOOC1GTlBSWFNSVmdFUzFUQk5tdWd1bnVpaEVrNA?oc=5" target="_blank">Uncertainty Quantification for LLM Function-Calling</a>  <font color="#6f6f6f">Apple Machine Learning Research</font>

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Search Results for "Uncertainty quantificatio"

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

29 stories displayed
Oxide-informed explainable machine learning with uncertainty quantification for compressive strength prediction of SCM-blended pervious concrete
Naturetech

Oxide-informed explainable machine learning with uncertainty quantification for compressive strength prediction of SCM-blended pervious concrete

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBneGFhUkZ6TmsyOGc4QkNjNnJMX3hYV3hvX285NGFSVjJXY3ZOdnhhVFd1TVRZWTk1T1Q1TlVKZlVjMnA5aGljNFBocFVYMGo3WGlWSTA3QWRaTHU2SWdr?oc=5" target="_blank">Oxide-informed explainable machine learning with uncertainty quantification for compressive strength prediction of SCM-blended pervious concrete</a>  <font color="#6f6f6f">Nature</font>

Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models
The Association for the Advancement of Artificial Intelligencetech

Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE1NSllfQkw5WUgtSnNwU0pFN3Nja2JTVDhOczUtc3NSVEE5SUl0c3UzS3piTGV2aUdFb1JHX3ZzZVpxT3hVSzJKNU5pZmxFRDRYUDhDZmwtaEFoa2RqbjNPa0dwRkI?oc=5" target="_blank">Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Uncertainty-Aware, End-to-End Deep Learning for Functional Lung MRI Quantification Using
RSNA Journalstech

Uncertainty-Aware, End-to-End Deep Learning for Functional Lung MRI Quantification Using

<a href="https://news.google.com/rss/articles/CBMiWEFVX3lxTE9wNnh4cUM2RUFqVTU4WFdzcjJiMk92a0IyaXVuM0VfSDE5VTZFU0Q5OHN1dk9peFJvTk5rU3Z2YXdRQkxPeFNYUm5mbjgtNXdCYmtFMmlnd1Y?oc=5" target="_blank">Uncertainty-Aware, End-to-End Deep Learning for Functional Lung MRI Quantification Using</a>  <font color="#6f6f6f">RSNA Journals</font>

Speeding up uncertainty quantification for aerospace applications
Aerospace Americatech

Speeding up uncertainty quantification for aerospace applications

<a href="https://news.google.com/rss/articles/CBMitgFBVV95cUxQbEMtclRHVGp1bUVVeXRtalB5OTFBcWpWa2dsMFJDOC1yRHpQeFhZSDhXM09tMjZMVGZRZGJtRmlHV09zR28wRlotSHVfenlQdFVwa0lVMldaV204X0dVSXI5SzA2MzVpTDZtclZ6YVlJR3lySEQ0bTVOYkhQbjV2WVFDbFhFWUNMekEwRnJaS2RleTRwcFFTN19reVZGNHB5c0FnQUhiZU16cVJ6elNfZFljVHhudw?oc=5" target="_blank">Speeding up uncertainty quantification for aerospace applications</a>  <font color="#6f6f6f">Aerospace America</font>

Introduction to Deep Evidential Regression for Uncertainty Quantification
Towards Data Sciencetech

Introduction to Deep Evidential Regression for Uncertainty Quantification

<a href="https://news.google.com/rss/articles/CBMiqAFBVV95cUxQNVJtNUlhZG9Sa0pocDY0R2ptYmVCamdRLXZ5ZWpPQWVldk9sUzNNT2xoUnpzX0p4Mmotb1BHbVlSUGhEX0YyU1UwODhPcnZlNGFYb0dEWDl2aUpOY3BwRnBjNmFrUDVaZTF0Z25oZFpaZm9XRlNpblB4aE01OTJqUGNoS2pjXy1GY2ZZSHJQbnh5N3hZZlVsWU4zMncwbWdvM0dlUXIxNHE?oc=5" target="_blank">Introduction to Deep Evidential Regression for Uncertainty Quantification</a>  <font color="#6f6f6f">Towards Data Science</font>

Prediction and uncertainty quantification of drought in North Benin
Cambridge University Press & Assessmenttech

Prediction and uncertainty quantification of drought in North Benin

<a href="https://news.google.com/rss/articles/CBMihgJBVV95cUxQSm5RYWR4d0tyWlltM0VHZ0RycUloV2F3LVF0NXV0Y3NUYjdJcW1VejhQYjRLWExtX1lVcElqQ2t4aWR0cXRHR0t5bERqQmFmZlJpLURneW9ndGtUcDFyY3kzWlN4SjBDem9LeWtTMklpR0RZeDFhenZPM3RUcUJfR0N6UFhMRDUzSzNzMFJmWHBUT2JQdEhzbm1WUFZPNDk1M1ZuYVBrdDJLV3dXejNkNXRPWFR0MUpXS054SUxjOWU4QkRyVnFTc2NneFk3NEJmUTJNOXU1NG5PZ2g3bzd5S1lSOFU2WVRUUVNJV1haWUUzRHB2UHN2T0JWX0l6ZC1YTjN3U2tR?oc=5" target="_blank">Prediction and uncertainty quantification of drought in North Benin</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

A multi-fidelity tabular prior-data fitted network model for accurate prediction and uncertainty quantification
Naturetech

A multi-fidelity tabular prior-data fitted network model for accurate prediction and uncertainty quantification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9jOFc0V05mbWR3Z1F4NzlPb2RCSXRpODZZTjNYc2ZzNldneThsajM3aFpuV1hfblZzLWo3T0ZIdnBsSG4yakM5dWJIU3NIVWN6WVNlRGRtZFNKSndrTG9B?oc=5" target="_blank">A multi-fidelity tabular prior-data fitted network model for accurate prediction and uncertainty quantification</a>  <font color="#6f6f6f">Nature</font>

Uncertainty Quantification for Machine Learning: One Size Does Not Fit All
The Association for the Advancement of Artificial Intelligencetech

Uncertainty Quantification for Machine Learning: One Size Does Not Fit All

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5ldkNmZGxzam1WTVpyMDU5Mldkbm1CTzNRQUtmcURiTFhpeG9ELU00SkhpdjJoU0N5V2U4QVhCOHppNmpVTmZJTDItYXMtaVJodFVha1VVbG1IcWdQc1VvLVlNSWU?oc=5" target="_blank">Uncertainty Quantification for Machine Learning: One Size Does Not Fit All</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Real-time on-device dynamic quantification of sensor output uncertainty
Naturetech

Real-time on-device dynamic quantification of sensor output uncertainty

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1DNjd1TUpaSjJQYTJ3b3BpQ3hYUkthWUlDN0FvN3UxTXBnS1ZjRWNxNGdxNThDbE5sWVo3ZXFFZm9pM2ZpR21MaVRRM2hxSzYybzNhUFN6NmNvZnF0cVJj?oc=5" target="_blank">Real-time on-device dynamic quantification of sensor output uncertainty</a>  <font color="#6f6f6f">Nature</font>

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification
The Association for the Advancement of Artificial Intelligencetech

Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE5ET21CcEJTU2VQa1ZiaEpNTG1ZZHo3Z3NNeVgwNFJMT0VrRnNsdzluSHFfXzI5ZG9iOVdVQXVhMFFkcVV0bFAyUXM2Ymx0eEFJN1BFVU1IWTBoZ3FyRXB5TUhma0k?oc=5" target="_blank">Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

TrustNet: a lightweight network with integrated uncertainty quantification and quantitative explainable AI for ischemic stroke detection in CT images
Naturetech

TrustNet: a lightweight network with integrated uncertainty quantification and quantitative explainable AI for ischemic stroke detection in CT images

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB6ZGxFSEd4UXlKYWo2QlBhR1BDZHhFTXAwb2tPRi1IZkNKM0dlaHZSRVNuS0J5NndqS29VSF84bzRGTlRDQWFiSHotSnJ4OFlzV0FsWnFxUTZZOEJQbTNJ?oc=5" target="_blank">TrustNet: a lightweight network with integrated uncertainty quantification and quantitative explainable AI for ischemic stroke detection in CT images</a>  <font color="#6f6f6f">Nature</font>

Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract)
The Association for the Advancement of Artificial Intelligencetech

Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract)

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE0yNUg0OGdITWdnNGZ1bnc1N3piS1ZweUs2dWU1OUxsWWt5UEV3M1lBT2ZZVTZsRHV6c0c2NHN3YnBTTDhDUHJTbW5JZ1JQVy03Q0xPSU01QWY1aWRBdnpyYmhJZU0?oc=5" target="_blank">Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract)</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

Accurate remaining useful life prediction and uncertainty quantification for wind turbines using temporal convolutional variational deep Gaussian processes
Naturetech

Accurate remaining useful life prediction and uncertainty quantification for wind turbines using temporal convolutional variational deep Gaussian processes

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE05aG53bEJ4akFtWld0dGtsWHJPeWh0TVNmczlHWGNBVk9ldW1kQlpkUmRTMGRRdDJGMU0xazZSZlAzZTdGUS1Sem45ZWFwMUJ4b2JoV0NLcVVHN2lZa2JJ?oc=5" target="_blank">Accurate remaining useful life prediction and uncertainty quantification for wind turbines using temporal convolutional variational deep Gaussian processes</a>  <font color="#6f6f6f">Nature</font>

Estimation and uncertainty quantification of remaining useful life (RUL) of electric vehicle batteries using a temporal deep model
Naturetech

Estimation and uncertainty quantification of remaining useful life (RUL) of electric vehicle batteries using a temporal deep model

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1Kb0dOODhacjgzZEFXLUx3Z3BlYVhzUFpDbTVYV1Z2N19mQ215NjB5NHlGSjQ3aFc5WmJROVhzVzF2XzN3Nl9CbXdOYXp2SW12RTZBaFlnZ1FjbGpvcEww?oc=5" target="_blank">Estimation and uncertainty quantification of remaining useful life (RUL) of electric vehicle batteries using a temporal deep model</a>  <font color="#6f6f6f">Nature</font>

An integrated computational framework for uncertainty quantification and rapid qualification of heat treatment for additively manufactured ATI 718Plus alloy
Naturetech

An integrated computational framework for uncertainty quantification and rapid qualification of heat treatment for additively manufactured ATI 718Plus alloy

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5NLUo2eUpOZE82aHBGM2Z0TW0wWlJReFliczlaUUMzNGRIS2lkaGJGdEhqc3E0c1JNTmlJSHFOdTdTajc5eGp6SXZ5b1A1QmtycHVESXhzMG5Qb2VPb25v?oc=5" target="_blank">An integrated computational framework for uncertainty quantification and rapid qualification of heat treatment for additively manufactured ATI 718Plus alloy</a>  <font color="#6f6f6f">Nature</font>

Accurate quantification in proteomics with QuantUMS
Naturegeneral

Accurate quantification in proteomics with QuantUMS

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBMd3dhOFhtWDkyazVtRTBtWDNiQlFVS2hoLVdMQ2taV3RSc2xNdVU0Y3dTODV6ZzEtaUtJYjVSNWxCTXJEbFppMXItTjEtZ3o0SDJfUTNCUXlJNE1WcGw0?oc=5" target="_blank">Accurate quantification in proteomics with QuantUMS</a>  <font color="#6f6f6f">Nature</font>

Multimodal out-of-distribution individual uncertainty quantification enhances binding affinity prediction for polypharmacology
Naturetech

Multimodal out-of-distribution individual uncertainty quantification enhances binding affinity prediction for polypharmacology

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE83TGVtYWRoc0NsbzhKQm56c1ltNFU0NXRRZWVhUEN2YmNJOFVPVHVOS0syRVBkUUlydlVaWmlRRllyUXE2T3V5aHF3bXJoWVdxNmVGWS1yMWxocXZvVnpJ?oc=5" target="_blank">Multimodal out-of-distribution individual uncertainty quantification enhances binding affinity prediction for polypharmacology</a>  <font color="#6f6f6f">Nature</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>

Uncertainty quantification for connectomics
Naturetech

Uncertainty quantification for connectomics

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1FVk5KQ3VtbkpDR2gtbzBZVDdKVXlmRXZDX1VZSVNpUEVpaWU0ZWNXRDNYODg1U2NIY2VDX1I2dlFxMGhmVVpBUXlXOEZidVdyUC1JMkg3c0JIQnRQbXlr?oc=5" target="_blank">Uncertainty quantification for connectomics</a>  <font color="#6f6f6f">Nature</font>

Achieving near-net-zero energy in hot climates through synergistic retrofit interventions and uncertainty quantification
Naturetech

Achieving near-net-zero energy in hot climates through synergistic retrofit interventions and uncertainty quantification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5VZk9YWVlwc3h0d2hPQVhoeVlWd1lxa2ZpZHJObGNLZlNxWk5NcUl1U2FXSTF5Snk5MVVlYll6STRlckNCdW40SEQxeHAwa1ljWWt5MzNvZG12QmNNZFdF?oc=5" target="_blank">Achieving near-net-zero energy in hot climates through synergistic retrofit interventions and uncertainty quantification</a>  <font color="#6f6f6f">Nature</font>

Residual bayesian attention networks for uncertainty quantification in regression tasks | Scientific Reports
Naturetech

Residual bayesian attention networks for uncertainty quantification in regression tasks | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9SMlZFQndXT2M3NGJTenZPZGwxc3ZwRnJIVUs2RFJkQWVhbm96a1pYY3hnSHRIMXVjSzBaN0lCV2NoQTdXbGp6eEdEbmZzMGxWQXFsU3lDVmZiaEpDS0Nz?oc=5" target="_blank">Residual bayesian attention networks for uncertainty quantification in regression tasks | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

GFOI R&D Exchange: Uncertainty quantification and reporting in forest monitoring
Food and Agriculture Organizationtech

GFOI R&D Exchange: Uncertainty quantification and reporting in forest monitoring

<a href="https://news.google.com/rss/articles/CBMi2AFBVV95cUxOdEozREtpbnpEMC1yWWVfOE9qMWlXdTlkZTFqbzh1VnZWY1ltMWVRUnZZZ1dtN3J4bDRRd2p2U2xXdEc0OHRlRkZQZGNXcDFzM2hpcGluZFQ0TEJHNzdYQ2h4V1lTejZsODZ0ZHFJTDc4cUhjdmpGcXFkLWwzWEU5OXJkRjdycEJCZFlDUXNUME9XWEEyZjdZU2hYZ0c5UTFrMXRnOUEtYTkzTks0R1k0cjhNQktEUWZkdVUzbEg2d1N1bDlTeC1LaGpnNWFTdVowSEZfSWg3LW8?oc=5" target="_blank">GFOI R&D Exchange: Uncertainty quantification and reporting in forest monitoring</a>  <font color="#6f6f6f">Food and Agriculture Organization</font>

Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantification
Naturetech

Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantification

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9sUERKekRoc0lMUE5jLVFZbi1heGtZNV9neXNUaGp0bnVMU29HN3dmNXFlY3l6cEI5aS0xcUVuckM4STgycVNCUTAtMXZwTmhLckpIaHlJekRnM1g1SWJz?oc=5" target="_blank">Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantification</a>  <font color="#6f6f6f">Nature</font>

Goal 8 SAWADA Yohei PM Progress Report : [A-2] Uncertainty quantification for meteorological control|Moonshot R&D
科学技術振興機構(JST)tech

Goal 8 SAWADA Yohei PM Progress Report : [A-2] Uncertainty quantification for meteorological control|Moonshot R&D

<a href="https://news.google.com/rss/articles/CBMif0FVX3lxTE5FWVpZaGZCbXR3a3V0eF9hQkxmSm9rQmQzdlJUdHdtZVlaNjZYcmdyWmQ2dTFmRmlTankzRzlUZk5VUndibENwNy11M3U4X1ZCWGdJYU5KSm1MXzBQR01BeFQ3eHN2cG9EUW05Vk43cHFhenJwUERZd29wOXlFZjQ?oc=5" target="_blank">Goal 8 SAWADA Yohei PM Progress Report : [A-2] Uncertainty quantification for meteorological control|Moonshot R&D</a>  <font color="#6f6f6f">科学技術振興機構(JST)</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>

Efficient and Effective Uncertainty Quantification in LLMs
Apple Machine Learning Researchtech

Efficient and Effective Uncertainty Quantification in LLMs

<a href="https://news.google.com/rss/articles/CBMidEFVX3lxTE9oVmN4UXRfa0x1OElid2JPUXlROUo4WmhfeHdoZm5Qdl9jcHV6el91TXJnMGdDWXN4cDlYZThDUHh3eDZsZmpLdmtqZnNHSWhUTWt5Tk1vdS16clR5bVhoZWtWWUpNTVozZ1o0S2ZlUlFwcUVE?oc=5" target="_blank">Efficient and Effective Uncertainty Quantification in LLMs</a>  <font color="#6f6f6f">Apple Machine Learning Research</font>

Key Concepts in AI Safety: Reliable Uncertainty Quantification in Machine Learning
CSET | Center for Security and Emerging Technologytech

Key Concepts in AI Safety: Reliable Uncertainty Quantification in Machine Learning

<a href="https://news.google.com/rss/articles/CBMivwFBVV95cUxPSXNsdjVSNmZQODhLLXBqZnB1UnlYTjI3cEJXWkNEN1J3RmRQOXdxOEVIYUdaMzBlZWFYZllad0U2Mm9iZnFORjZ6UDJUNmJUY3JyMjQ1LVVzeGd2RDlRTGtia1JJb2x0cGVPVVJuWUJGd3VKc1Zoa05lRF9uN045Vm5kUF9nTVRmQ0VIclFWdjNMVXg5Wk93UG5qdV9PRkt2RzlWUGdFbkhnWWFVZEVsVzVCTkFrMGVfZ1VZLTFBNA?oc=5" target="_blank">Key Concepts in AI Safety: Reliable Uncertainty Quantification in Machine Learning</a>  <font color="#6f6f6f">CSET | Center for Security and Emerging Technology</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>

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>

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