William Smith<p>I'll go ahead and say it. Predictive typing is as advanced as just throwing spaghetti at a wall and seeing what sticks.</p><p>The typo in "hour” is mine. The suggestion to complete the sentence with "horseshoe” is Microsoft Outlook’s.</p><p>Even worse, I have "Check spelling as you type” and “Check grammar as you type" both turned on.</p><p><a href="https://mastodon.social/tags/computers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>computers</span></a> <a href="https://mastodon.social/tags/grammar" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>grammar</span></a> <a href="https://mastodon.social/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://mastodon.social/tags/spelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spelling</span></a> <a href="https://mastodon.social/tags/typing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>typing</span></a></p>
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#predictive
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Datarainbow Privacy Assistant✅<p>Predictive algorithms, AI and the current regulations need of improvement. <a href="https://www.linkedin.com/posts/taubmanbassirian_prediction-society-activity-7301269856203538433-wVoz?utm_source=share&utm_medium=member_ios&rcm=ACoAAAEjZSMBPHCDNL0ZfbkbHBFk7NBEwjLsbi0" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">linkedin.com/posts/taubmanbass</span><span class="invisible">irian_prediction-society-activity-7301269856203538433-wVoz?utm_source=share&utm_medium=member_ios&rcm=ACoAAAEjZSMBPHCDNL0ZfbkbHBFk7NBEwjLsbi0</span></a> <a href="https://mastodon.online/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://mastodon.online/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a></p>
💧🌏 Greg Cocks<p>Unlocking Arkansas’s Hidden Treasures – USGS Uses Machine Learning To Show Large Lithium Potential In The Smackover Formation<br>--<br><a href="https://www.usgs.gov/news/national-news-release/unlocking-arkansas-hidden-treasure-usgs-uses-machine-learning-show-large" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">usgs.gov/news/national-news-re</span><span class="invisible">lease/unlocking-arkansas-hidden-treasure-usgs-uses-machine-learning-show-large</span></a> <-- shared technical article<br>--<br><a href="https://doi.org/10.1126/sciadv.adp8149" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.1126/sciadv.adp8149</span><span class="invisible"></span></a> <-- shared paper<br>--<br><a href="https://www.usgs.gov/tools/us-geological-survey-national-produced-waters-geochemical-database-viewer" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">usgs.gov/tools/us-geological-s</span><span class="invisible">urvey-national-produced-waters-geochemical-database-viewer</span></a> <-- link to the USGS Produced Waters Database<br>--<br><a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GIS</span></a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatial</span></a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mapping</span></a> <a href="https://techhub.social/tags/sampling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sampling</span></a> <a href="https://techhub.social/tags/water" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>water</span></a> <a href="https://techhub.social/tags/naturalresources" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>naturalresources</span></a> <a href="https://techhub.social/tags/economicvalue" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>economicvalue</span></a> <a href="https://techhub.social/tags/lithium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>lithium</span></a> <a href="https://techhub.social/tags/watertesting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>watertesting</span></a> <a href="https://techhub.social/tags/waterquality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>waterquality</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://techhub.social/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>model</span></a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeling</span></a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>spatialanalysis</span></a> <a href="https://techhub.social/tags/Arkansas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Arkansas</span></a> <a href="https://techhub.social/tags/commercial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>commercial</span></a> <a href="https://techhub.social/tags/study" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>study</span></a> <a href="https://techhub.social/tags/resource" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>resource</span></a> <a href="https://techhub.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>research</span></a> <a href="https://techhub.social/tags/batteries" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>batteries</span></a> <a href="https://techhub.social/tags/technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>technology</span></a> <a href="https://techhub.social/tags/brines" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>brines</span></a> <a href="https://techhub.social/tags/SmackoverFormation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SmackoverFormation</span></a> <a href="https://techhub.social/tags/oilandgas" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>oilandgas</span></a> <a href="https://techhub.social/tags/commodity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>commodity</span></a> <a href="https://techhub.social/tags/extraction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>extraction</span></a> <a href="https://techhub.social/tags/mining" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mining</span></a> <a href="https://techhub.social/tags/salt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>salt</span></a> <a href="https://techhub.social/tags/mineral" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mineral</span></a> <a href="https://techhub.social/tags/hydrocarbon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hydrocarbon</span></a> <a href="https://techhub.social/tags/geology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geology</span></a> <a href="https://techhub.social/tags/geologic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geologic</span></a> <a href="https://techhub.social/tags/estimation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>estimation</span></a><br>@USGS</p>
💧🌏 Greg Cocks<p>Earthquake Fault Friction’s Dependence On Temperature Different From Previously Thought<br>--<br><a href="https://today.usc.edu/earthquake-fault-frictions-dependence-on-temperature-different-from-previously-thought/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">today.usc.edu/earthquake-fault</span><span class="invisible">-frictions-dependence-on-temperature-different-from-previously-thought/</span></a> <-- shared technical article<br>--<br><a href="https://doi.org/10.1073/pnas.2405111121" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1073/pnas.240511112</span><span class="invisible">1</span></a> <-- shared paper<br>--<br><a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>model</span></a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeling</span></a> <a href="https://techhub.social/tags/earthquake" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>earthquake</span></a> <a href="https://techhub.social/tags/fault" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fault</span></a> <a href="https://techhub.social/tags/faulting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>faulting</span></a> <a href="https://techhub.social/tags/numericmodeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>numericmodeling</span></a> <a href="https://techhub.social/tags/rock" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rock</span></a> <a href="https://techhub.social/tags/friction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>friction</span></a> <a href="https://techhub.social/tags/temperature" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>temperature</span></a> <a href="https://techhub.social/tags/mechanics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mechanics</span></a> <a href="https://techhub.social/tags/stress" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stress</span></a> <a href="https://techhub.social/tags/stressrelief" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>stressrelief</span></a> <a href="https://techhub.social/tags/geology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>geology</span></a> <a href="https://techhub.social/tags/structuralgeology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>structuralgeology</span></a> <a href="https://techhub.social/tags/experiment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>experiment</span></a> <a href="https://techhub.social/tags/experimentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>experimentation</span></a> <a href="https://techhub.social/tags/brittle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>brittle</span></a> <a href="https://techhub.social/tags/ductile" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ductile</span></a> <a href="https://techhub.social/tags/deform" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>deform</span></a> <a href="https://techhub.social/tags/degrade" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>degrade</span></a> <a href="https://techhub.social/tags/fracturing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fracturing</span></a> <a href="https://techhub.social/tags/thermal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>thermal</span></a> <a href="https://techhub.social/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://techhub.social/tags/prediction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>prediction</span></a></p>
The Coding Beard :verified:<p>Curious - has anyone played with <a href="https://techtoots.com/tags/polymarket" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>polymarket</span></a> or <a href="https://techtoots.com/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://techtoots.com/tags/markets" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>markets</span></a>? If so feedback? I've enjoyed it but also - it feels a bit like gambling…</p>
The vOICe vision BCI 🧠🇪🇺<p>When you are no longer surprised to see the image content after hearing the soundscapes, it means that your brain has grasped the basics of seeing with sound <a href="https://www.youtube.com/watch?v=7jFJ_IXzwKI" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=7jFJ_IXzwK</span><span class="invisible">I</span></a></p><p><a href="https://mas.to/tags/brain" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>brain</span></a> <a href="https://mas.to/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://mas.to/tags/coding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>coding</span></a> <a href="https://mas.to/tags/neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>neuroscience</span></a></p>
JMLR<p>'Predictive Inference with Weak Supervision', by Maxime Cauchois, Suyash Gupta, Alnur Ali, John C. Duchi.</p><p><a href="http://jmlr.org/papers/v25/23-0253.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-0253.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://sigmoid.social/tags/prediction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>prediction</span></a> <a href="https://sigmoid.social/tags/labeled" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>labeled</span></a></p>
Artificial Intelligence & ML<p>Data4Sales, an AI-powered predictive marketing platform from Uruguay, secures a $2.3M seed round led by DGF Investimentos to expand in Brazil and enhance its presence in Latin America. The platform analyses e-commerce data to improve retail customer insights and boost sales.</p><p><a href="https://mastodon.social/tags/Data4Sales" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Data4Sales</span></a> <a href="https://mastodon.social/tags/Uruguay" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Uruguay</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Marketing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Marketing</span></a> <a href="https://mastodon.social/tags/SeedRound" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SeedRound</span></a> <a href="https://mastodon.social/tags/DGFInvestimentos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DGFInvestimentos</span></a> <a href="https://mastodon.social/tags/Expansion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Expansion</span></a> <a href="https://mastodon.social/tags/LatinAmerica" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>LatinAmerica</span></a> <a href="https://mastodon.social/tags/Brazil" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Brazil</span></a> <a href="https://mastodon.social/tags/Ecommerce" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Ecommerce</span></a> <a href="https://mastodon.social/tags/Retail" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Retail</span></a> <a href="https://mastodon.social/tags/Customer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Customer</span></a> <a href="https://mastodon.social/tags/Insights" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Insights</span></a> <a href="https://mastodon.social/tags/SalesBoost" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SalesBoost</span></a> <a href="https://mastodon.social/tags/Tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Tech</span></a> <a href="https://mastodon.social/tags/StartupFunding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>StartupFunding</span></a> <a href="https://mastodon.social/tags/Marketing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Marketing</span></a> <a href="https://mastodon.social/tags/Predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Predictive</span></a> <a href="https://mastodon.social/tags/Analytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Analytics</span></a> <a href="https://mastodon.social/tags/TechNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TechNews</span></a> <a href="https://mastodon.social/tags/Venture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Venture</span></a></p>
Dr. Jennifer<p>New article just came out : <br>"Modelling the Dynamics of Outbreak Species: The Case of Ditrupa arietina (O.F. Müller), Gulf of Lions, NW Mediterranean Sea"</p><p><a href="https://www.mdpi.com/2077-1312/12/2/350" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">mdpi.com/2077-1312/12/2/350</span><span class="invisible"></span></a></p><p>Thanks to an impressive 10 yr observation series collected by one of our co-authors (F. Charles) @CNRS, the article shows what great data and a little mathematical modelling can do for prediction in marine ecology. </p><p><a href="https://fediscience.org/tags/metapopulation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>metapopulation</span></a> <a href="https://fediscience.org/tags/marinebiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>marinebiology</span></a> <a href="https://fediscience.org/tags/outbreak" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>outbreak</span></a> <a href="https://fediscience.org/tags/historicalecology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>historicalecology</span></a> <a href="https://fediscience.org/tags/modelling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modelling</span></a> <br><a href="https://fediscience.org/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://fediscience.org/tags/ecology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ecology</span></a></p>
Eric Maugendre<p>The AI Act will not ban the bulk of biometric mass surveillance <a href="https://social.coop/tags/BMS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>BMS</span></a>. "Restrictions on the use of live and retrospective facial recognition in the AI Act will be minimal, and will not apply to private companies or administrative authorities":<br><a href="https://reclaimyourface.eu/eu-ai-act-will-fail-commitment-to-ban-biometric-mass-surveillance/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">reclaimyourface.eu/eu-ai-act-w</span><span class="invisible">ill-fail-commitment-to-ban-biometric-mass-surveillance/</span></a> <span class="h-card" translate="no"><a href="https://chirp.social/@dataGovernance" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>dataGovernance</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/data" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>data</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/ai" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ai</span></a></span> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/eu" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>eu</span></a></span></p><p><a href="https://social.coop/tags/ethicalAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ethicalAI</span></a> <a href="https://social.coop/tags/aiEthics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>aiEthics</span></a> <a href="https://social.coop/tags/bigTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>bigTech</span></a> <a href="https://social.coop/tags/scoring" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>scoring</span></a> <a href="https://social.coop/tags/decisionMaking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decisionMaking</span></a> <a href="https://social.coop/tags/decisionSupport" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decisionSupport</span></a> <a href="https://social.coop/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://social.coop/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://social.coop/tags/AIAct" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIAct</span></a> <a href="https://social.coop/tags/safety" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>safety</span></a> <a href="https://social.coop/tags/byDesign" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>byDesign</span></a> <a href="https://social.coop/tags/design" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>design</span></a> <a href="https://social.coop/tags/civilLiberties" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>civilLiberties</span></a> <a href="https://social.coop/tags/EU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EU</span></a> <a href="https://social.coop/tags/EuropeanPolitics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EuropeanPolitics</span></a> <a href="https://social.coop/tags/facialRecognition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>facialRecognition</span></a> <a href="https://social.coop/tags/biometrics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>biometrics</span></a></p>
Eric Maugendre<p>Rating agencies may still freely automatically "score" individuals if it does not provide critical decision-making support.</p><p>Takeaways from the CJEU's recent rulings on automated decision-making: <a href="https://iapp.org/news/a/key-takeaways-from-the-cjeus-recent-automated-decision-making-rulings/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">iapp.org/news/a/key-takeaways-</span><span class="invisible">from-the-cjeus-recent-automated-decision-making-rulings/</span></a> <span class="h-card" translate="no"><a href="https://a.gup.pe/u/ai" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>ai</span></a></span></p><p><a href="https://social.coop/tags/CJEU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CJEU</span></a> <a href="https://social.coop/tags/AILaw" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AILaw</span></a> <a href="https://social.coop/tags/AIEthics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIEthics</span></a> <a href="https://social.coop/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://social.coop/tags/decisionMaking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decisionMaking</span></a> <a href="https://social.coop/tags/decisionSupport" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>decisionSupport</span></a> <a href="https://social.coop/tags/rating" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rating</span></a> <a href="https://social.coop/tags/SCHUFA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SCHUFA</span></a> <a href="https://social.coop/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://social.coop/tags/credit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>credit</span></a> <a href="https://social.coop/tags/scoring" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>scoring</span></a> <a href="https://social.coop/tags/money" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>money</span></a></p>
Lizly<p><a href="https://framapiaf.org/tags/writever" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>writever</span></a> <a href="https://framapiaf.org/tags/Predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Predictive</span></a></p><p>- Et cette nana alors ? <br>- Oh, là, je la vois plus ! <br>- Mais ?! Elle était marrante, charismatique, ça se passait bien, non ? <br>- Ça oui, elle était aussi sensible, attentionnée, mais beaucoup trop prédictive. <br>- C'est-à-dire dire ? <br>- Elle devine la météo, termine les phrases de tout le monde, comprend la fin des films dès la 1ère demi-heure, c'est chiant. <br>- Ah... Ouais, je comprends... </p><p><a href="https://framapiaf.org/tags/microfiction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>microfiction</span></a></p>
New Submissions to TMLR<p>Exact and Approximate Conformal Inference for Multi-task Learning</p><p><a href="https://openreview.net/forum?id=ixcW7aQNHl" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=ixcW7a</span><span class="invisible">QNHl</span></a></p><p><a href="https://sigmoid.social/tags/predictors" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictors</span></a> <a href="https://sigmoid.social/tags/prediction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>prediction</span></a> <a href="https://sigmoid.social/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a></p>
Dirk Van den Poel<p>Interesting session on data-driven predictive maintenance at the ACM <a href="https://mastodon.online/tags/kdd2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>kdd2023</span></a> Conference in Long Beach, CA <a href="https://mastodon.online/tags/ORMS" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ORMS</span></a> <a href="https://mastodon.online/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> <a href="https://mastodon.online/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://mastodon.online/tags/Analytics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Analytics</span></a></p>
Rohit Farmer, Ph.D.<p>A <a href="https://fosstodon.org/tags/tutorial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>tutorial</span></a> on building and <a href="https://fosstodon.org/tags/interpreting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>interpreting</span></a> <a href="https://fosstodon.org/tags/linearRegression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>linearRegression</span></a> models for <a href="https://fosstodon.org/tags/inferential" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>inferential</span></a> and <a href="https://fosstodon.org/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://fosstodon.org/tags/modeling" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>modeling</span></a> with examples in <a href="https://fosstodon.org/tags/R" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>R</span></a>. </p><p><a href="https://fosstodon.org/tags/datascience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>datascience</span></a> <a href="https://fosstodon.org/tags/dataanalysis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>dataanalysis</span></a> <a href="https://fosstodon.org/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://fosstodon.org/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>rstats</span></a></p><p><span class="h-card"><a href="https://a.gup.pe/u/rstats" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>rstats</span></a></span></p><p><a href="https://dataalltheway.com/posts/013-linear-regression/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">dataalltheway.com/posts/013-li</span><span class="invisible">near-regression/</span></a></p>
Published papers at TMLR<p>When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted ...</p><p>Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage, Himabindu Lakkaraju</p><p>Action editor: Laurent Charlin.</p><p><a href="https://openreview.net/forum?id=pbs22kJmEO" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="ellipsis">openreview.net/forum?id=pbs22k</span><span class="invisible">JmEO</span></a></p><p><a href="https://sigmoid.social/tags/uncertainty" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>uncertainty</span></a> <a href="https://sigmoid.social/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://sigmoid.social/tags/expertise" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>expertise</span></a></p>
Laurent Perrinet<p><span class="h-card"><a href="https://mastodon.world/@darioringach" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>darioringach</span></a></span> This preprint is an excellent read on the <a href="https://neuromatch.social/tags/adaptation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>adaptation</span></a> of the <a href="https://neuromatch.social/tags/firing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>firing</span></a> rate of primary <a href="https://neuromatch.social/tags/visual" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>visual</span></a> <a href="https://neuromatch.social/tags/cortex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cortex</span></a> neurons - showing a <a href="https://neuromatch.social/tags/powerlaw" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>powerlaw</span></a> scaling between the ratio of <a href="https://neuromatch.social/tags/probabilities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probabilities</span></a> and the ratio of observed firing rates, and also relative invariance of directional scatter (though I am puzzled by the use of cosine similarity instead of more standard distances between distributions...).</p><p>An interesting result is that the log firing rate is linearly proportional to the negative surprise of a stimulus, which will certainly bring a smile to proponents of <a href="https://neuromatch.social/tags/probabilistic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>probabilistic</span></a> representations in the brain or <a href="https://neuromatch.social/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> processing...</p><p>The study extends these observations to more ecological distributions, but - as far as I understand it - still samples individual orientations. One can predict that this would extend to showing textures with different levels of anisotropy (as defined by the tuple $(n_x, n_y)$ in the Ringach, 2002 paper, for example), creating a stimulus set ${ s_i }$ that better covers the space of visual features.</p><p><a href="https://neuromatch.social/tags/computationalneuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>computationalneuroscience</span></a></p>
MacropodCarer: Verified 🌈🦘🦣<p>Technical question for <a href="https://mastodon.au/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AI</span></a> folks. </p><p>Is <a href="https://mastodon.au/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://mastodon.au/tags/text" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>text</span></a> on phones, a standalone use of AI?</p><p>Thanks.</p>
Resistor McResistanceFace<p><span class="h-card"><a href="https://mastodon.linkerror.com/@jns" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>jns</span></a></span> <span class="h-card"><a href="https://hackers.town/@requiem" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>requiem</span></a></span> </p><p>"AI is to now what E-mail was to back then." - Spam</p><p>The only standard that exists within the scope of AI is how fast and cheaply it can either sell you, entertain you or replace you.</p><p>It doesn't even have to be good or accurate, sorry half-assed AI will be just fine to met quarterly goals.</p><p>Law enforcement is already playing with <a href="https://universeodon.com/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> policing now with AI they can get that warrant faster than a Texas governor</p>
Chuck Darwin<p>Nationwide protests against anti-Black racism and police violence have sparked demands and reckonings in several corners of higher education and academe.</p><p>The latest to join the fray is the discipline of <a href="https://c.im/tags/mathematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mathematics</span></a>. </p><p>Ten mathematicians from eight universities and one company wrote an open letter calling for mathematicians to cease collaborating with police departments. The letter also urges math scholars to publicly audit influential algorithms and to embed learning outcomes related to <a href="https://c.im/tags/ethics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ethics</span></a> in <a href="https://c.im/tags/data" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>data</span></a> <a href="https://c.im/tags/science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>science</span></a> curriculums.</p><p>"It's a political belief, that collaborating with police in any capacity contributes to white supremacist violence and oppression," said <a href="https://c.im/tags/Tarik" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Tarik</span></a> <a href="https://c.im/tags/Aougab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Aougab</span></a>, a math professor at Haverford College and one of the letter writers, speaking personally on his motivations. "Really any collaboration between mathematics, which is something that I love and that I find extremely beautiful, and the institution of policing shouldn't happen."</p><p>The letter has 1,500 verified signatures from mathematicians, Aougab said, although that number is not limited to academic mathematicians. The letter has been submitted to and accepted by the Notices of the American Mathematical Society.</p><p>The letter writers take particular aim at "predictive policing," which involves using data and mathematics to predict where crime will happen.</p><p>"Many of our colleagues can and do work with police departments to provide modeling and data work," the letter said, noting that in 2016 the Institute for Computational and Experimental Research in Mathematics (<a href="https://c.im/tags/ICERM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ICERM</span></a>) at Brown University held a one-week workshop on <a href="https://c.im/tags/predictive" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>predictive</span></a> <a href="https://c.im/tags/policing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>policing</span></a>.</p><p><a href="https://c.im/tags/PredPol" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PredPol</span></a>, a major predictive policing company, says that its technology is being used to protect one out of every 33 people in the United States.</p><p>Opposition to predictive policing is not new. Academics have raised concerns in recent years about the mathematical theory underlying the technology and its tendency to create self-reinforcing feedback loops ("It is predicting future policing, not future crime," said a 2017 paper on the subject).</p><p><a href="https://www.insidehighered.com/news/2020/06/24/mathematicians-urge-cutting-ties-police" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">insidehighered.com/news/2020/0</span><span class="invisible">6/24/mathematicians-urge-cutting-ties-police</span></a></p>
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