{"id":11110,"date":"2020-06-23T12:28:23","date_gmt":"2020-06-23T12:28:23","guid":{"rendered":"https:\/\/cyber-valley.de\/news\/yoshua-bengio-haelt-max-planck-lecture-2020\/"},"modified":"2026-07-15T14:44:11","modified_gmt":"2026-07-15T14:44:11","slug":"yoshua-bengio-haelt-max-planck-lecture-2020","status":"publish","type":"news","link":"https:\/\/cyber-valley.de\/de\/news\/yoshua-bengio-haelt-max-planck-lecture-2020\/","title":{"rendered":"Yoshua Bengio h\u00e4lt Max Planck Lecture 2020"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Der weltweit f\u00fchrende Wissenschaftler auf dem Gebiet des Deep Learning wird er\u00f6rtern, wie maschinelles Lernen in Kombination mit Kontaktverfolgung eingesetzt werden k\u00f6nnte, um die Verbreitung von COVID-19 einzud\u00e4mmen.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Stuttgart &#8211; Der mehrfach preisgekr\u00f6nte Informatiker Professor Yoshua Bengio h\u00e4lt am 23. Juni um 17:30 die Max Planck Lecture 2020, die in diesem Jahr virtuell stattfinden wird. Der Vortrag tr\u00e4gt den Titel &#8222;Machine Learning for COVID-19 Risk Awareness through Contact Tracing\u201c und wird vom Max-Planck-Institut f\u00fcr Intelligente Systeme veranstaltet.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bengio ist ein Pionier auf dem Forschungsgebiet selbstlernender Maschinen. Zusammen mit einer Handvoll anderer herausragender Wissenschaftler gilt Bengio weithin als einer der \u201eV\u00e4ter der Deep-Learning-Revolution\u201c. Im Jahr 2018 wurde er zusammen mit seinen Kollegen Geoffrey Hinton und Yann LeCunn mit dem Turing-Preis ausgezeichnet f\u00fcr seine konzeptionellen und experimentellen Arbeiten, die k\u00fcnstlichen neuronalen Netzen zum Durchbruch verholfen haben. Der Turing-Preis ist der weltweit bedeutendste Preis f\u00fcr Informatik und vom Ansehen her mit dem Nobelpreis vergleichbar.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201eYoshua Bengio hat jahrzehntelang das Forschungsfeld Deep Learning und Machine Learning wesentlich vorangetrieben und viele andere dabei unterst\u00fctzt. Wir f\u00fchlen uns zutiefst geehrt, dass er dieses Jahr die Max Planck Lecture h\u00e4lt&#8220;, sagt Bernhard Sch\u00f6lkopf, Direktor am MPI-IS in T\u00fcbingen, im Namen seiner Direktoren-Kolleg*innen Katherine J. Kuchenbecker, Michael J. Black, und Metin Sitti.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Die Max Planck Lecture wird j\u00e4hrlich von einem\/einer prominenten Wissenschaftler*in auf einem der Fachgebiete der beiden Stuttgart Max-Planck-Institute gehalten. Die Veranstaltung richtet sich an ein breites Publikum aus Wissenschaft, Wirtschaft und Politik sowie der interessierten \u00d6ffentlichkeit.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Yoshua Bengio ist seit 1993 Professor in der Abteilung f\u00fcr Informatik und operationelle Forschung an der Universit\u00e9 de Montr\u00e9al. Neben dem kanadischen Forschungslehrstuhl f\u00fcr statistische Lernalgorithmen ist er Gr\u00fcnder und wissenschaftlicher Direktor von MILA, dem Institut f\u00fcr k\u00fcnstliche Intelligenz in Quebec, der weltweit gr\u00f6\u00dften universit\u00e4ren Forschungsgruppe auf dem Gebiet des Deep Learning.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Im Jahr 2018 wurde Yoshua Bengio als weltweit meistzitierter Informatiker ausgezeichnet. Er ist Mitglied des NeurIPS-Vorstands und Mitbegr\u00fcnder und allgemeiner Vorsitzender der ICLR-Konferenz sowie Programmdirektor des CIFAR-Programms Learning in Machines and Brains. Im Jahr 2020 wurde er zum Fellow der Royal Society of London ernannt.<br\/><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Informationen zum englischsprachigen Vortrag:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The Covid-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries and resulting in widespread lockdowns for emergency containment. Large-scale digital contact tracing (DCT) has emerged as a potential solution to resume economic and social activity without triggering a second outbreak. Various DCT methods have been proposed, each making trade-offs between privacy, mobility restriction, and public health.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Many approaches model infection and encounters as binary events. With such approaches, called binary contact tracing, once a case is confirmed by a positive lab test result, it is propagated to people who were contacts of the infected person, typically recommending that these individuals self-quarantine. This approach ignores the inherent uncertainty in contacts and the infection process, which could be used to tailor messaging to high-risk individuals, and prompt proactive testing or earlier self-quarantine. It also does not make use of observations such as symptoms or pre-existing medical conditions, which could be used to make more accurate risk predictions.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">While methods that may use such information have been proposed, these typically require access to the graph of social interactions and\/or the centralization of sensitive personal data, which is incompatible with reasonable privacy and security constraints. We use an agent-based epidemiological simulation to develop and test machine learning methods that can be deployed to a smartphone to locally predict an individual&#8217;s risk of infection from their contact history and other information, while respecting strong privacy and security constraints. We use this risk score to provide personalized recommendations to the user via an app, an approach we call probabilistic risk awareness (PRA).\u00a0We show that PRA can significantly reduce the spread of the disease compared to other methods, for equivalent average mobility and realistic assumptions about app adoption, and thereby save lives.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To watch the live transmission of the 2020 Max Planck Lecture, please visit the MPI-IS\u00a0<a rel=\"noopener\" target=\"_blank\" href=\"https:\/\/www.youtube.com\/channel\/UCty-pPOWlWUk4gXNm5pydcg\">youtube channel<\/a>\u00a0on Tuesday, June 23, at 5:30 p.m (CEST).<\/p>\n","protected":false},"featured_media":11458,"parent":0,"template":"","meta":{"_acf_changed":false},"cv-tag":[],"location":[],"network-role":[],"news-category":[],"user-group":[245],"class_list":["post-11110","news","type-news","status-publish","has-post-thumbnail","hentry","user-group-researcher"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Yoshua Bengio h\u00e4lt Max Planck Lecture 2020 - Cyber Valley<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cyber-valley.de\/de\/news\/yoshua-bengio-haelt-max-planck-lecture-2020\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Yoshua Bengio h\u00e4lt Max Planck Lecture 2020 - Cyber Valley\" \/>\n<meta property=\"og:description\" content=\"Der weltweit f\u00fchrende Wissenschaftler auf dem Gebiet des Deep Learning wird er\u00f6rtern, wie maschinelles Lernen in Kombination mit Kontaktverfolgung eingesetzt werden k\u00f6nnte, um die Verbreitung von COVID-19 einzud\u00e4mmen. Stuttgart &#8211; Der mehrfach preisgekr\u00f6nte Informatiker Professor Yoshua Bengio h\u00e4lt am 23. Juni um 17:30 die Max Planck Lecture 2020, die in diesem Jahr virtuell stattfinden wird. 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