Archive for the ‘Congress’ Category

AI4Media: Theme Development Workshop “Trusted AI – The future of creating ethical and responsible AI systems”, Online, 13 Sept. 2023

We are delighted to announce the second cross-cutting Theme Development Workshop “Trusted AI – The future of creating ethical and responsible AI systems”, which will take place online on the 13th of September 2023. This is a joint workshop of the VISION CSA and the EU’s six AI Networks of Excellence AI4Media, ELISE, ELSA, euROBIN, […]

Last call registration: Invitation to join 2023 Summer ‘Programming short course and workshop on Deep Learning and Computer Vision’, 30 August – 1 September, 2023

Dear Deep Learning, Computer Vision, Digital Media engineers, scientists and enthusiasts,    you are welcomed to register to the  CVML course on ‘Programming short course and workshop on Deep Learning and Computer Vision’,  30th August – 1st September 2023: https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/   It will take place at KEDEA Building, hosted by the Aristotle University of Thessaloniki […]

Call for submissions: IEEE World Forum on Public Safety Technology, machine learning is one of the highlighted topics

      FYI   IEEE World Forum on Public Safety Technology The IEEE Public Safety Technology Initiative is excited to announce the launch of a new IEEE conference dedicated to public safety technologies. The 2024 IEEE World Forum on Public Safety Technology (WF-PST) will bring together researchers, practitioners, and industry stakeholders to address and […]

NeurIPS workshop on Causal Representation learning – deadline extended to Oct 2

We warmly invite you to submit a paper and participate in our Causal Representation Learning workshop (https://crl-workshop.github.io/) that will be held December 15, 2023 at NeurIPS 2023, New Orleans, USA. Causal Representation Learning is an exciting intersection of machine learning and causality that aims at learning low-dimensional, high-level causal variables along with their causal relations directly from raw, unstructured data, […]

CFP: Share your Advancements in Imaging Science

;font-size:11pt;margin:0px;color:rgb(32,31,30);background-color:rgb(255,255,255)”> Please contact info@imaging.org for immediate requests! Connect with us on LinkedIn and Twitter @ImagingOrg

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