Latest updates for Uncertainty Quantification

Fresh curated links around Uncertainty Quantification are collected here so marketers can spot useful updates and turn timely ideas into posts faster.

Recent items include:

  • The uncertainty principle and accounting
  • Oxford Quantum Circuits and Trust Base Benchmark Hybrid Quantum Workloads for Financial Risk Modeling
  • When Sampling Beats Counting: How You Know a Statistical QA Plan Actually Works

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taxresearch.org.uk /1 month ago

The uncertainty principle and accounting

I wrote this infographic yesterday. It grew out of one of the recurring conversations Jacqueline and I have about the relationship between quantum thinking, uncertainty, Read the f...

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quantumcomputingreport.com /1 month ago

Oxford Quantum Circuits and Trust Base Benchmark Hybrid Quantum Workloads for Financial Risk Modeling

Oxford Quantum Circuits (OQC) and Trust Base benchmarked hybrid quantum workloads for financial risk modeling, evaluating classical, hybrid quantum-classical, and fault-tolerant qu...

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qualitymag.com /1 month ago

When Sampling Beats Counting: How You Know a Statistical QA Plan Actually Works

Not every 95% confidence interval actually delivers 95% coverage. A 3,000-month simulation study shows why the Wilson score interval provides more reliable uncertainty estimates th...

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blogs.egu.eu /1 week ago

In Defence of Uncertainty: Why we can’t avoid it and why we need it

Welcome to the second post in our GeoLog series on communicating uncertainty! Written by students from an interdisciplinary course at the University of Tübingen led by Dr. Solmaz M...

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digitalthoughtdisruption.com /1 month ago

AI Uncertainty: Why Confidence Scores Are Not Enough

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towardsdatascience.com /1 month ago

Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networks

More informed decision-making through uncertainty quantification The post Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networks appeared first on Towards D...

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r-bloggers.com /1 month ago

Model-agnostic prediction intervals in Python and R: does nnetsauce’s `QuantileRegressor` hold up?

Point predictions tell you what a model *thinks* will happen. They don't tell you how much to trust that number. nnetsauce's `QuantileRegressor` takes any sklearn-compatible regres...

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blogs.egu.eu /1 month ago

Geolog series: Communicating uncertainty in science -Student perspectives from the University of Tübingen

Welcome to a new series on GeoLog dedicated to one of the most critical yet frequently misunderstood aspects of research: Communicating uncertainty in science. Over the coming mont...

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bioengineer.org /1 week ago

AI Learns to Say It Doesn’t Know: Neutrosophic Geometry Tackles Overconfident Deep Networks

Researchers have combined neutrosophic set theory with deep feature geometry to give pretrained neural networks an interpretable, three-part measure of their own uncertainty, expos...

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safetyrisk.net /4 weeks ago

Is the Quest to Eliminate Uncertainty Morally Good?

One of the qualities of being human is not-knowing with certainty. Indeed, an essential in being human is to... The post Is the Quest to Eliminate Uncertainty Morally Good? appeare...

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climatechangefork.blog.brooklyn.edu /1 month ago

The Uncertainty Principle of the Global Economy: Stability and Turmoil

Figure 1 (AI through Gemini) Can you suggest a Picture that will reflect the uncertainty of the global economy? As labeled, the top picture was created by AI (the red label shows m...

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towardsdatascience.com /5 days ago

Can Conformal Prediction Take You from Accurate to Reliable Machine Learning?

ML model adoption doesn't stop with acceptance of accuracy; it starts there. The post Can Conformal Prediction Take You from Accurate to Reliable Machine Learning? appeared first o...

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towardsdatascience.com /4 weeks ago

Your Model's MSE Is Lying to You: Part II

Autoregressive rollout and uncertainty propagation. Second in a series on probabilistic forecasting for physical signals. The post Your Model's MSE Is Lying to You: Part II appeare...

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dev.to /1 month ago

Confidence Procedures Are Production Code

A clean sample can sound stronger than it is. Someone checks a handful of items, finds no exceptions, and the sentence wants to become broader than the evidence: the process worked...

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physicsworld.com /1 month ago

Uncertainty and the random universe: a slide puzzle

Can you reconstruct the astrophysics illustration in our interactive slide puzzle? The post Uncertainty and the random universe: a slide puzzle appeared first on Physics World.

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blogs.egu.eu /1 month ago

Communicating uncertainty in science : A pandemic of uncertainty?

Welcome to the first post in our new GeoLog series on communicating uncertainty! Written by students from an interdisciplinary course at the University of Tübingen led by Dr. Solma...

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scitechdaily.com /1 month ago

A Major Quantum Computing Problem May Finally Have an Answer: Can We Trust the Results?

Researchers can now put numerical error limits on quantum simulations, showing how much confidence to place in their results. As quantum simulators become powerful enough to tackle...

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econbrowser.com /1 month ago

Policy Uncertainty: Economic and Trade

Through yesterday: Figure 1: EPU (blue, left scale), 7 day centered moving average (red, left scale), EPU-trade policy (green, right scale), 7 day centered moving average (black, r...

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Sources covering Uncertainty Quantification

econbrowser.com

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feeds.feedburner.com

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taxresearch.org.uk

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bioengineer.org

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blogs.egu.eu

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blogs.vmware.com

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