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Hacker NewsGeometry from Quantum Temporal Correlations<a href="https://arxiv.org/abs/2502.13293" rel="nofollow noopener" translate="no" target="_blank">https://arxiv.org/abs/2502.13293</a><a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#HackerNews</a> <a href="https://mastodon.social/tags/Geometry" class="mention hashtag" rel="nofollow noopener" target="_blank">#Geometry</a> <a href="https://mastodon.social/tags/Quantum" class="mention hashtag" rel="nofollow noopener" target="_blank">#Quantum</a> <a href="https://mastodon.social/tags/Temporal" class="mention hashtag" rel="nofollow noopener" target="_blank">#Temporal</a> <a href="https://mastodon.social/tags/Correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#Correlations</a> <a href="https://mastodon.social/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#Research</a> <a href="https://mastodon.social/tags/Arxiv" class="mention hashtag" rel="nofollow noopener" target="_blank">#Arxiv</a> <a href="https://mastodon.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#Science</a>

QIC Journal🙌<a href="https://fediscience.org/tags/call4reading" class="mention hashtag" rel="nofollow noopener" target="_blank">#call4reading</a>✍️Quantum <a href="https://fediscience.org/tags/memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#memory</a> and quantum <a href="https://fediscience.org/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a> of Majorana <a href="https://fediscience.org/tags/qubits" class="mention hashtag" rel="nofollow noopener" target="_blank">#qubits</a> used for magnetometry <a href="https://fediscience.org/tags/by" class="mention hashtag" rel="nofollow noopener" target="_blank">#by</a> H. Rangani Jahromi and S. Haseli🔗<a href="https://doi.org/10.26421/QIC20.11-12-2(#arXiv:1909.10758)" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.26421/QIC20.11-12-2(#arXiv:1909.10758)</a>

Jo BroomToday's random <a href="https://mas.to/tags/Discogs" class="mention hashtag" rel="nofollow noopener" target="_blank">#Discogs</a> choice Protodroids - Clouds Of Venus / Correlations - Zodiac Rising CIS sub library 2022. Two different electronic albums in one. Protodroids offer up a groovy dance style and Correlations a smoother, more introspective listen. Both quite wonderful. <a href="https://mas.to/tags/nowplaying" class="mention hashtag" rel="nofollow noopener" target="_blank">#nowplaying</a> <a href="https://mas.to/tags/music" class="mention hashtag" rel="nofollow noopener" target="_blank">#music</a> <a href="https://mas.to/tags/protodroids" class="mention hashtag" rel="nofollow noopener" target="_blank">#protodroids</a> <a href="https://mas.to/tags/Correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#Correlations</a>

Michael Martinez :verified:Google Search Rankings Correlate HIGHLY with Websites that publish content, use domain names in their URLs, use internal links to connect pages together, and that appear in results on other search engines.<a href="https://c.im/tags/seo" class="mention hashtag" rel="nofollow noopener" target="_blank">#seo</a> <a href="https://c.im/tags/searchengineoptimization" class="mention hashtag" rel="nofollow noopener" target="_blank">#searchengineoptimization</a> <a href="https://c.im/tags/analysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#analysis</a> <a href="https://c.im/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a> <a href="https://c.im/tags/webmarketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#webmarketing</a> <a href="https://c.im/tags/digitalmarketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#digitalmarketing</a> <a href="https://c.im/tags/algorithms" class="mention hashtag" rel="nofollow noopener" target="_blank">#algorithms</a> <a href="https://c.im/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://c.im/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a> <a href="https://c.im/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#science</a> <a href="https://c.im/tags/math" class="mention hashtag" rel="nofollow noopener" target="_blank">#math</a> <a href="https://c.im/tags/yourtaghere" class="mention hashtag" rel="nofollow noopener" target="_blank">#yourtaghere</a>

Michael Martinez :verified:Correlation studies do NOT reveal how Google's algorithms work. Correlation studies do not identify cause-and-effect, they do not point to or imply cause-and-effect, and they do not explain why anything is happening in Google's search results.<a href="https://c.im/tags/seo" class="mention hashtag" rel="nofollow noopener" target="_blank">#seo</a> <a href="https://c.im/tags/searchengineoptimization" class="mention hashtag" rel="nofollow noopener" target="_blank">#searchengineoptimization</a> <a href="https://c.im/tags/google" class="mention hashtag" rel="nofollow noopener" target="_blank">#google</a> <a href="https://c.im/tags/searchengines" class="mention hashtag" rel="nofollow noopener" target="_blank">#searchengines</a> <a href="https://c.im/tags/analytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#analytics</a> <a href="https://c.im/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a> <a href="https://c.im/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://c.im/tags/webmarketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#webmarketing</a> <a href="https://c.im/tags/digitalmarketing" class="mention hashtag" rel="nofollow noopener" target="_blank">#digitalmarketing</a>

Estelle Platini"A major function [of deductive <a href="https://techhub.social/tags/logic" class="mention hashtag" rel="nofollow noopener" target="_blank">#logic</a> is in] assessing exactly what is involved in asserting some set of propositions. […] By omitting some premiss without which the deduction of some conclusion is not valid, it misrepresents the premiss from which this conclusion is obtained, and hence responsibility for the conclusion. To agree to accept partial responsibility as good enough here is like agreeing to say that somebody was responsible for the dinner when he peeled potatoes and the cook did the rest. The first statement cannot be accepted as an elliptical, but allowable, way of making the second statement. And similarly suppression [of some premiss] enables us to obtain as causally responsible a partially sufficient rather than a fully sufficient causal condition." Valerie Plumwood in Australasian Journal of Logic, 2023: <a href="https://ojs.victoria.ac.nz/ajl/issue/view/894" rel="nofollow noopener" translate="no" target="_blank">https://ojs.victoria.ac.nz/ajl/issue/view/894</a> v <a href="https://mathstodon.xyz/@rrrichardzach" class="u-url mention" rel="nofollow noopener" target="_blank">@rrrichardzach</a><a href="https://techhub.social/tags/Plumwood" class="mention hashtag" rel="nofollow noopener" target="_blank">#Plumwood</a> <a href="https://techhub.social/tags/causality" class="mention hashtag" rel="nofollow noopener" target="_blank">#causality</a> <a href="https://techhub.social/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a> <a href="https://techhub.social/tags/economics" class="mention hashtag" rel="nofollow noopener" target="_blank">#economics</a> <a href="https://techhub.social/tags/reason" class="mention hashtag" rel="nofollow noopener" target="_blank">#reason</a> <a href="https://techhub.social/tags/ProofTheory" class="mention hashtag" rel="nofollow noopener" target="_blank">#ProofTheory</a> <a href="https://techhub.social/tags/PhilSci" class="mention hashtag" rel="nofollow noopener" target="_blank">#PhilSci</a> <a href="https://techhub.social/tags/truth" class="mention hashtag" rel="nofollow noopener" target="_blank">#truth</a> <a href="https://techhub.social/tags/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#science</a> <a href="https://techhub.social/tags/ethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#ethics</a> <a href="https://techhub.social/tags/ecofeminism" class="mention hashtag" rel="nofollow noopener" target="_blank">#ecofeminism</a> <a href="https://techhub.social/tags/freedom" class="mention hashtag" rel="nofollow noopener" target="_blank">#freedom</a>

💧🌏 Greg CocksImproved AI Process Could Better Predict Water Supplies -- <a href="https://www.sciencedaily.com/releases/2024/05/240501091622.htm" rel="nofollow noopener" translate="no" target="_blank">https://www.sciencedaily.com/releases/2024/05/240501091622.htm</a> <-- shared technical article -- <a href="https://doi.org/10.1609/aaai.v38i21.30337" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1609/aaai.v38i21.30337</a> <-- shared paper -- “A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers [link above] predict water availability from areas in the West where snow amounts aren't being physically measured…” <a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatial</a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#mapping</a> <a href="https://techhub.social/tags/water" class="mention hashtag" rel="nofollow noopener" target="_blank">#water</a> <a href="https://techhub.social/tags/hydrology" class="mention hashtag" rel="nofollow noopener" target="_blank">#hydrology</a> <a href="https://techhub.social/tags/waterresources" class="mention hashtag" rel="nofollow noopener" target="_blank">#waterresources</a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatialanalysis</a> <a href="https://techhub.social/tags/spatiotemporal" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatiotemporal</a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener" target="_blank">#model</a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modeling</a> <a href="https://techhub.social/tags/numericalmodeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#numericalmodeling</a> <a href="https://techhub.social/tags/computermodel" class="mention hashtag" rel="nofollow noopener" target="_blank">#computermodel</a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://techhub.social/tags/snowpack" class="mention hashtag" rel="nofollow noopener" target="_blank">#snowpack</a> <a href="https://techhub.social/tags/WesternUSA" class="mention hashtag" rel="nofollow noopener" target="_blank">#WesternUSA</a> <a href="https://techhub.social/tags/USWest" class="mention hashtag" rel="nofollow noopener" target="_blank">#USWest</a> <a href="https://techhub.social/tags/watersecurity" class="mention hashtag" rel="nofollow noopener" target="_blank">#watersecurity</a> <a href="https://techhub.social/tags/prediction" class="mention hashtag" rel="nofollow noopener" target="_blank">#prediction</a> <a href="https://techhub.social/tags/SnowWaterEquivalent" class="mention hashtag" rel="nofollow noopener" target="_blank">#SnowWaterEquivalent</a> <a href="https://techhub.social/tags/SWE" class="mention hashtag" rel="nofollow noopener" target="_blank">#SWE</a> <a href="https://techhub.social/tags/irrigation" class="mention hashtag" rel="nofollow noopener" target="_blank">#irrigation</a> <a href="https://techhub.social/tags/floodcontrol" class="mention hashtag" rel="nofollow noopener" target="_blank">#floodcontrol</a> <a href="https://techhub.social/tags/powergeneration" class="mention hashtag" rel="nofollow noopener" target="_blank">#powergeneration</a> <a href="https://techhub.social/tags/drought" class="mention hashtag" rel="nofollow noopener" target="_blank">#drought</a> <a href="https://techhub.social/tags/management" class="mention hashtag" rel="nofollow noopener" target="_blank">#management</a> <a href="https://techhub.social/tags/decisions" class="mention hashtag" rel="nofollow noopener" target="_blank">#decisions</a> <a href="https://techhub.social/tags/SnowTelemetry" class="mention hashtag" rel="nofollow noopener" target="_blank">#SnowTelemetry</a> <a href="https://techhub.social/tags/SNOTEL" class="mention hashtag" rel="nofollow noopener" target="_blank">#SNOTEL</a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://techhub.social/tags/attentionmechanisms" class="mention hashtag" rel="nofollow noopener" target="_blank">#attentionmechanisms</a> <a href="https://techhub.social/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a> <a href="https://techhub.social/tags/snowpack" class="mention hashtag" rel="nofollow noopener" target="_blank">#snowpack</a>

Cosmin SaveanuI used to be annoyed by the absurdly low p-values that can be obtained when doing <a href="https://framapiaf.org/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a> with thousands of data points. Permutation analysis could help to see if the observed relationships might be a random occurence.Searching now for tools that automate the process, while also explaining clearly what is being done.<a href="https://framapiaf.org/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#statistics</a> <a href="https://framapiaf.org/tags/pvalue" class="mention hashtag" rel="nofollow noopener" target="_blank">#pvalue</a> <a href="https://framapiaf.org/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#research</a>

preLightsWeak supervision - Strong results! 💪Smith and team introduce Perturbational Metric Learning (PeML) to extract biological relationships from noisy high-throughput perturbational datasets.Team effort from preLighters Benjamin Dominik Maier & Anna Foix Romero – read their preLight! 👀<a href="https://biologists.social/tags/preLight" class="mention hashtag" rel="nofollow noopener" target="_blank">#preLight</a> 👉 <a href="https://prelights.biologists.com/highlights/similarity-metric-learning-on-perturbational-datasets-improves-functional-identification-of-perturbations/" rel="nofollow noopener" target="_blank">https://prelights.biologists.com/highlights/similarity-metric-learning-on-perturbational-datasets-improves-functional-identification-of-perturbations/</a><a href="https://biologists.social/tags/bioinformatics" class="mention hashtag" rel="nofollow noopener" target="_blank">#bioinformatics</a> <a href="https://biologists.social/tags/SystemsBiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#SystemsBiology</a> <a href="https://biologists.social/tags/clustering" class="mention hashtag" rel="nofollow noopener" target="_blank">#clustering</a> <a href="https://biologists.social/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a> <a href="https://biologists.social/tags/gsea" class="mention hashtag" rel="nofollow noopener" target="_blank">#gsea</a> <a href="https://biologists.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a>

Crypto NewsBitcoin (BTC) Slides Back Below $30K, But Should Pump if These Correlations Re-emerge - Bitcoin (BTC), the cryptocurrency that powers the world’s largest decentralized cryptogra... - <a href="https://cryptonews.com/news/bitcoin-btc-slides-back-below-30k-but-should-pump-if-these-correlations-re-emerge.htm" rel="nofollow noopener" target="_blank">https://cryptonews.com/news/bitcoin-btc-slides-back-below-30k-but-should-pump-if-these-correlations-re-emerge.htm</a> <a href="https://schleuss.online/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a> <a href="https://schleuss.online/tags/bitcoinnews" class="mention hashtag" rel="nofollow noopener" target="_blank">#bitcoinnews</a> <a href="https://schleuss.online/tags/bitcoin" class="mention hashtag" rel="nofollow noopener" target="_blank">#bitcoin</a> <a href="https://schleuss.online/tags/btc" class="mention hashtag" rel="nofollow noopener" target="_blank">#btc</a> <a href="https://schleuss.online/tags/dxy" class="mention hashtag" rel="nofollow noopener" target="_blank">#dxy</a>

Giskard🔥 In this tutorial, we'll show you to install Giskard <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="tag">#Python</a> <a href="https://fosstodon.org/tags/library" class="mention hashtag" rel="tag">#library</a>. In just 4 lines of code, you will discover vulnerabilities, such as: ✅ <a href="https://fosstodon.org/tags/Performance" class="mention hashtag" rel="tag">#Performance</a> biases. ✅ <a href="https://fosstodon.org/tags/Data" class="mention hashtag" rel="tag">#Data</a> leakage. ✅ Spurious <a href="https://fosstodon.org/tags/correlations" class="mention hashtag" rel="tag">#correlations</a>. ✅ <a href="https://fosstodon.org/tags/Overconfidence" class="mention hashtag" rel="tag">#Overconfidence</a> issues. ✅ <a href="https://fosstodon.org/tags/Underconfidence" class="mention hashtag" rel="tag">#Underconfidence</a> issues.[2/4]

Giskard🎉 The replay of our webinar 'Detect vulnerabilities in your AI models' is now available! 🎥🍿 Detect <a href="https://fosstodon.org/tags/biases" class="mention hashtag" rel="tag">#biases</a>, <a href="https://fosstodon.org/tags/data" class="mention hashtag" rel="tag">#data</a> leakage, spurious <a href="https://fosstodon.org/tags/correlations" class="mention hashtag" rel="tag">#correlations</a>, and confidence issues, using our <a href="https://fosstodon.org/tags/Python" class="mention hashtag" rel="tag">#Python</a> <a href="https://fosstodon.org/tags/library" class="mention hashtag" rel="tag">#library</a> and x2 your <a href="https://fosstodon.org/tags/ML" class="mention hashtag" rel="tag">#ML</a> <a href="https://fosstodon.org/tags/workflow" class="mention hashtag" rel="tag">#workflow</a>.Happy learning! 🚀🔬 <a href="https://gisk.ar/3Xv0QHn" target="_blank" rel="nofollow noopener" translate="no">https://gisk.ar/3Xv0QHn</a>

Daniel Hoffmann🌻Nice website with (hopefully) spurious correlations: <a href="https://www.tylervigen.com/correlation_project/" rel="nofollow noopener" target="_blank">https://www.tylervigen.com/correlation_project/</a> For instance, there is a correlation coefficient of 0.99 between (A) US spending on science, space, and technology, and (B) suicides by hanging, strangulation and suffocation, in 1999-2009.<a href="https://mathstodon.xyz/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#stats</a> <a href="https://mathstodon.xyz/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a>

GiskardGiskard 1.4 is out! What's new in this version? ⭐🔪 With Giskard’s new Slice feature, we introduce the possibility to identify business areas in which your <a href="https://fosstodon.org/tags/AI" class="mention hashtag" rel="tag">#AI</a> models underperform. This will make it easier to debug performance <a href="https://fosstodon.org/tags/biases" class="mention hashtag" rel="tag">#biases</a> or identify spurious <a href="https://fosstodon.org/tags/correlations" class="mention hashtag" rel="tag">#correlations</a>. We have also added an export/import feature to share your projects, as well as other minor improvements.<a href="https://www.giskard.ai/knowledge/new-version-giskard-1-4" target="_blank" rel="nofollow noopener" translate="no">https://www.giskard.ai/knowledge/new-version-giskard-1-4</a>

GiselleI was reading an <a href="https://universeodon.com/tags/article" class="mention hashtag" rel="nofollow noopener" target="_blank">#article</a> whose authors made and validated an index for professional prestige! They provided the OP scores for the fields and then listed the 15 top <a href="https://universeodon.com/tags/occupations" class="mention hashtag" rel="nofollow noopener" target="_blank">#occupations</a> with highest and lowest mean prestige scores (table). Below is the gist of the <a href="https://universeodon.com/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a>• <a href="https://universeodon.com/tags/interpersonal" class="mention hashtag" rel="nofollow noopener" target="_blank">#interpersonal</a> is not strongly correlated with the prestige (no relationship). • Critical thinking is strongly related with the prestige. • Physical is slightly negatively correlated with the prestige.Not fair at all 🥸

Chris Aldrich<a href="https://boffosocko.com/2023/01/05/55813440/" rel="nofollow noopener" target="_blank">https://boffosocko.com/2023/01/05/55813440/</a>

Charo del GenioPhD opportunity in my group of Statistical <a href="https://mathstodon.xyz/tags/Physics" class="mention hashtag" rel="nofollow noopener" target="_blank">#Physics</a> of <a href="https://mathstodon.xyz/tags/Complex" class="mention hashtag" rel="nofollow noopener" target="_blank">#Complex</a> <a href="https://mathstodon.xyz/tags/Systems" class="mention hashtag" rel="nofollow noopener" target="_blank">#Systems</a> at Coventry University.Interested in <a href="https://mathstodon.xyz/tags/graphs" class="mention hashtag" rel="nofollow noopener" target="_blank">#graphs</a>, <a href="https://mathstodon.xyz/tags/networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#networks</a> and <a href="https://mathstodon.xyz/tags/algorithms" class="mention hashtag" rel="nofollow noopener" target="_blank">#algorithms</a>? Join us to study a new <a href="https://mathstodon.xyz/tags/ensemble" class="mention hashtag" rel="nofollow noopener" target="_blank">#ensemble</a> of complex networks focusing on <a href="https://mathstodon.xyz/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a>, and determine its relations to the degree-sequence and degree-distribution ensembles, to discover mesoscopic drivers in the <a href="https://mathstodon.xyz/tags/evolution" class="mention hashtag" rel="nofollow noopener" target="_blank">#evolution</a> of complex systems.Please boost widely and feel free to send to possible interested candidates.<a href="https://www.jobs.ac.uk/job/CWC667/phd-studentship-correlation-ensembles-in-complex-networks" rel="nofollow noopener" target="_blank">https://www.jobs.ac.uk/job/CWC667/phd-studentship-correlation-ensembles-in-complex-networks</a>

Castles in Space<a href="https://mstdn.social/@sjbucks" class="u-url mention" rel="nofollow noopener" target="_blank">@sjbucks</a> <a href="https://sfba.social/@twiseq" class="u-url mention" rel="nofollow noopener" target="_blank">@twiseq</a> <a href="https://mastodon.social/tags/Correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#Correlations</a>

Marilie C. OddingQuan people: I just found a fun <a href="https://akademienl.social/tags/game" class="mention hashtag" rel="nofollow noopener" target="_blank">#game</a> about <a href="https://akademienl.social/tags/correlations" class="mention hashtag" rel="nofollow noopener" target="_blank">#correlations</a> on <a href="https://guessthecorrelation.com/" rel="nofollow noopener" target="_blank">https://guessthecorrelation.com/</a> designed by a PhD student.

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