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#maschinellesLernen

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Deutschland<p><a href="https://www.europesays.com/de/7126/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">europesays.com/de/7126/</span><span class="invisible"></span></a> Künstliche Intelligenz: KI und Minecraft <a href="https://pubeurope.com/tags/Deutschland" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Deutschland</span></a> <a href="https://pubeurope.com/tags/Germany" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Germany</span></a> <a href="https://pubeurope.com/tags/IT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IT</span></a>/Tech <a href="https://pubeurope.com/tags/KI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KI</span></a> <a href="https://pubeurope.com/tags/K%C3%BCnstlicheIntelligenz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KünstlicheIntelligenz</span></a> <a href="https://pubeurope.com/tags/MaschinellesLernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MaschinellesLernen</span></a> <a href="https://pubeurope.com/tags/Minecraft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Minecraft</span></a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Science</span></a> <a href="https://pubeurope.com/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Science</span></a>&amp;Technology <a href="https://pubeurope.com/tags/Technik" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Technik</span></a> <a href="https://pubeurope.com/tags/Technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Technology</span></a> <a href="https://pubeurope.com/tags/Wissenschaft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Wissenschaft</span></a> <a href="https://pubeurope.com/tags/Wissenschaft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Wissenschaft</span></a>&amp;Technik</p>
Uni Mainz<p>Neuer Test kann Post-COVID-Syndrom mit hoher Wahrscheinlichkeit ausschließen - basierend auf der Analyse von Profilen der gesundheitlichen Beschwerden von Menschen mit und ohne SARS-CoV-2-Infektion mithilfe einer Methode der Künstlichen Intelligenz, dem maschinellen Lernen / Einfache Anwendung für medizinisches Fachpersonal mittels Web-Applikation geplant 👉 <a href="https://www.unimedizin-mainz.de/newsroom/neuigkeiten/aktuelle-meldungen/newsdetail/article/neuer-test-kann-post-covid-syndrom-mit-hoher-wahrscheinlichkeit-ausschliessen.html" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">unimedizin-mainz.de/newsroom/n</span><span class="invisible">euigkeiten/aktuelle-meldungen/newsdetail/article/neuer-test-kann-post-covid-syndrom-mit-hoher-wahrscheinlichkeit-ausschliessen.html</span></a></p><p><a href="https://wisskomm.social/tags/PostCOVID" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PostCOVID</span></a> <a href="https://wisskomm.social/tags/COVID" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>COVID</span></a> <a href="https://wisskomm.social/tags/SARSCoV2" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SARSCoV2</span></a> <a href="https://wisskomm.social/tags/K%C3%BCnstlicheIntelligenz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KünstlicheIntelligenz</span></a> <a href="https://wisskomm.social/tags/MaschinellesLernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MaschinellesLernen</span></a> <a href="https://wisskomm.social/tags/Medizin" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Medizin</span></a> <a href="https://wisskomm.social/tags/Forschung" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Forschung</span></a> <a href="https://wisskomm.social/tags/UnimedizinMainz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UnimedizinMainz</span></a></p>
Tino Eberl<p><a href="https://mastodon.online/tags/CommunityContent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CommunityContent</span></a></p><p><a href="https://mastodon.online/tags/MaschinellesLernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MaschinellesLernen</span></a> verbessert die Analyse von EKGs in der <a href="https://mastodon.online/tags/Kardiologie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kardiologie</span></a>. Ein neuronales Netzwerk, das mit tausenden <a href="https://mastodon.online/tags/EKG" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EKG</span></a>-Daten trainiert wurde, musste sich in einer Studie bei der <a href="https://mastodon.online/tags/Diagnose" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Diagnose</span></a> von <a href="https://mastodon.online/tags/Herzproblemen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Herzproblemen</span></a> gegenüber menschliche <a href="https://mastodon.online/tags/Kardiologen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kardiologen</span></a> und der EKG-Software <a href="https://mastodon.online/tags/MUSE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MUSE</span></a> beweisen. Die Untersuchung lieferte interessante Erkenntnisse.</p><p><a href="https://mastodon.online/tags/Medizin" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Medizin</span></a> <a href="https://mastodon.online/tags/Herzgesundheit" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Herzgesundheit</span></a> <a href="https://mastodon.online/tags/KINutzen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KINutzen</span></a> <a href="https://mastodon.online/tags/Retr%C3%B6t" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Retröt</span></a></p><p><a href="https://tino-eberl.de/nutzen-kuenstlicher-intelligenz/kardiologie-und-ki-maschinelles-lernen-bei-der-analyse-von-ekgs/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tino-eberl.de/nutzen-kuenstlic</span><span class="invisible">her-intelligenz/kardiologie-und-ki-maschinelles-lernen-bei-der-analyse-von-ekgs/</span></a></p>
MPI for Gravitational Physics<p>Ein interdisziplinäres Team, darunter Forschende vom <span class="h-card" translate="no"><a href="https://astrodon.social/@mpi_grav" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>mpi_grav</span></a></span> in Potsdam, hat eine innovative maschinelle Lernmethode entwickelt. Sie ermöglicht es, Gravitationswellen von kollidierenden Neutronensternen 💥 in Sekundenbruchteilen ⏱️ präzise zu analysieren.</p><p>Der neue Algorithmus DINGO-BNS könnte die Multi-Messenger-Astronomie revolutionieren. 🔭</p><p>ℹ️ <a href="https://www.aei.mpg.de/1222972/neural-network-deciphers-gravitational-waves-from-merging-neutron-stars-in-a-second" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">aei.mpg.de/1222972/neural-netw</span><span class="invisible">ork-deciphers-gravitational-waves-from-merging-neutron-stars-in-a-second</span></a></p><p>📄 <a href="https://www.nature.com/articles/s41586-025-08593-z" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">nature.com/articles/s41586-025</span><span class="invisible">-08593-z</span></a></p><p><a href="https://astrodon.social/tags/Astrophysik" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Astrophysik</span></a> <a href="https://astrodon.social/tags/Gravitationswellen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Gravitationswellen</span></a> <a href="https://astrodon.social/tags/Astronomie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Astronomie</span></a> <a href="https://astrodon.social/tags/Neutronensterne" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neutronensterne</span></a> <a href="https://astrodon.social/tags/MultiMessenger" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MultiMessenger</span></a> <a href="https://astrodon.social/tags/MaschinellesLernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MaschinellesLernen</span></a></p>
Statistisches Bundesamt<p>Welche ethischen Fragen sind zu stellen, wenn <a href="https://social.bund.de/tags/KI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KI</span></a> und <a href="https://social.bund.de/tags/MaschinellesLernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MaschinellesLernen</span></a> für die Produktion amtlicher Statistiken genutzt werden? </p><p>Um diese und weitere Fragen geht es in der aktuellen Ausgabe der WISTA: <a href="https://www.destatis.de/DE/Methoden/WISTA-Wirtschaft-und-Statistik/2025/01/wista-012025.pdf?__blob=publicationFile&amp;v=6" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">destatis.de/DE/Methoden/WISTA-</span><span class="invisible">Wirtschaft-und-Statistik/2025/01/wista-012025.pdf?__blob=publicationFile&amp;v=6</span></a></p><p>In der „WISTA – Wirtschaft und Statistik“ finden Sie Aufsätze zu Methoden und Analysen rund um die Themen der amtlichen Statistik. Wir freuen uns über Ihr Interesse!</p>
CoffeeBean<p>Wo setzt ihr Machine Learning ein, um Prozesse zu verbessern? Habt ihr Beispiele aus eurem beruflichen Alltag?</p><p><a href="https://troet.cafe/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>machinelearning</span></a> <a href="https://troet.cafe/tags/databricks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>databricks</span></a> <a href="https://troet.cafe/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a> <a href="https://troet.cafe/tags/maschinelleslernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>maschinelleslernen</span></a> <a href="https://troet.cafe/tags/prozessverbesserungen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>prozessverbesserungen</span></a></p>
apfeltalk :verified:<p>OpenAI startet o3-mini: Effizientes Reasoning-Modell als Antwort auf DeepSeek<br>OpenAI hat mit o3-mini ein neues, kosteneffizientes Reasoning-Modell veröffentlicht, das sowohl für ChatGPT als auch für die OpenAI API verfügbar ist. Die Einführung k<br><a href="https://www.apfeltalk.de/magazin/news/openai-startet-o3-mini-effizientes-reasoning-modell-als-antwort-auf-deepseek/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">apfeltalk.de/magazin/news/open</span><span class="invisible">ai-startet-o3-mini-effizientes-reasoning-modell-als-antwort-auf-deepseek/</span></a><br><a href="https://creators.social/tags/KI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KI</span></a> <a href="https://creators.social/tags/News" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>News</span></a> <a href="https://creators.social/tags/API" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>API</span></a> <a href="https://creators.social/tags/chatGPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>chatGPT</span></a> <a href="https://creators.social/tags/DeepSeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeek</span></a> <a href="https://creators.social/tags/GPT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPT</span></a> <a href="https://creators.social/tags/KIEffizienz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KIEffizienz</span></a> <a href="https://creators.social/tags/KIModelle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KIModelle</span></a> <a href="https://creators.social/tags/KnstlicheIntelligenz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KnstlicheIntelligenz</span></a> <a href="https://creators.social/tags/MaschinellesLernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MaschinellesLernen</span></a> <a href="https://creators.social/tags/OpenAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenAI</span></a> <a href="https://creators.social/tags/ReasoningModelle" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ReasoningModelle</span></a></p>
Deutschlandfunk (inoffiziell)<p>Digitalwirtschaft - Volker Wissing setzt auf „vertrauenswürdige KI made in Europe“</p><p>500 Milliarden Dollar will Trump in Künstliche Intelligenz investieren. China hat mit „DeepSeek“ eine Alternative gestartet. Wo steht Deutschland im Wettbewerb?<a href="https://squeet.me/search?tag=K%C3%BCnstlicheIntelligenz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KünstlicheIntelligenz</span></a> <a href="https://squeet.me/search?tag=VolkerWissing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VolkerWissing</span></a> <a href="https://squeet.me/search?tag=DeepSeek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepSeek</span></a> <a href="https://squeet.me/search?tag=Deepseek" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Deepseek</span></a> <a href="https://squeet.me/search?tag=USA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>USA</span></a> <a href="https://squeet.me/search?tag=CHINA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CHINA</span></a> <a href="https://squeet.me/search?tag=Digitalwirtschaft" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Digitalwirtschaft</span></a> <a href="https://squeet.me/search?tag=KI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KI</span></a> <a href="https://squeet.me/search?tag=MaschinellesLernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MaschinellesLernen</span></a><br><a href="https://www.deutschlandfunk.de/interview-mit-volker-wissing-bundesdigitalminister-parteilos-zu-ki-100.html" rel="nofollow noopener noreferrer" target="_blank">Volker Wissing setzt auf „vertrauenswürdige KI made in Europe“</a></p>
apfeltalk :verified:<p>Apple verstärkt KI-Team: Kim Vorrath übernimmt Schlüsselrolle zur Verbesserung von Siri und Apple Intelligence<br>Apple verstärkt sein Engagement im Bereich Künstliche Intellige<br><a href="https://www.apfeltalk.de/magazin/news/apple-verstaerkt-ki-team-kim-vorrath-uebernimmt-schluesselrolle-zur-verbesserung-von-siri-und-apple-intelligence/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">apfeltalk.de/magazin/news/appl</span><span class="invisible">e-verstaerkt-ki-team-kim-vorrath-uebernimmt-schluesselrolle-zur-verbesserung-von-siri-und-apple-intelligence/</span></a><br><a href="https://creators.social/tags/KI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KI</span></a> <a href="https://creators.social/tags/News" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>News</span></a> <a href="https://creators.social/tags/AIEntwicklung" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AIEntwicklung</span></a> <a href="https://creators.social/tags/Apple" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Apple</span></a> <a href="https://creators.social/tags/AppleIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AppleIntelligence</span></a> <a href="https://creators.social/tags/AppleStrategie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AppleStrategie</span></a> <a href="https://creators.social/tags/IOS184" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IOS184</span></a> <a href="https://creators.social/tags/JohnGiannandrea" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JohnGiannandrea</span></a> <a href="https://creators.social/tags/KimVorrath" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KimVorrath</span></a> <a href="https://creators.social/tags/KnstlicheIntelligenz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KnstlicheIntelligenz</span></a> <a href="https://creators.social/tags/MaschinellesLernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MaschinellesLernen</span></a> <a href="https://creators.social/tags/Siri" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Siri</span></a> <a href="https://creators.social/tags/VisionPro" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>VisionPro</span></a></p>
Universität Freiburg<p>Ein Team um Frank Hutter, Professor für <a href="https://xn--baw-joa.social/tags/MaschinellesLernen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MaschinellesLernen</span></a> an der <a href="https://xn--baw-joa.social/tags/UniFreiburg" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UniFreiburg</span></a>, erleichtert und verbessert mit dem KI-Modell <a href="https://xn--baw-joa.social/tags/TabPFN" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TabPFN</span></a>, Lücken in Datensätzen zu füllen oder Ausreißer zu erkennen. </p><p><a href="https://ufr.link/hutter-tabpfn" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">ufr.link/hutter-tabpfn</span><span class="invisible"></span></a></p>