Tag: Challenge

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ICSR Grand Challenge Finalists Announced

The 18th International Conference on Social Robotics (ICSR + Art 2026) will take place in London, UK, from 1–4 July 2026. ICSR is the leading international forum that brings together researchers, academics, and industry professionals from across disciplines to advance the field of social robotics. The finalists of the ICSR 2026 Grand Challenge have now been announced, showcasing an exciting and diverse range of innovative projects from researchers, artists, and interdisciplinary teams across the globe. This year’s finalists represent institutions from Europe, Asia, North America, and Australia, reflecting the international and creative spirit of the competition. The selected teams will present their work during the first day of the conference on 1 July 2026, with the results and awards to be announced on 3 July 2026. Finalists will also have the optional opportunity to demonstrate their projects during the conference. To support participation in the competition, ICSR offers a special reduced registration rate through the Grand Challenge Competition Finalists Pass, which grants access to the full conference; at least one registration per team is required, and each attendee must hold an individual registration. Further details regarding presentations and demonstrations will be communicated directly to finalists via email. For questions related to the ICSR Grand Challenge, participants may contact Prof. Laura Fiorini at laura.fiorini@unifi.it. A full list of finalists and additional information can be found at: icsr2026.uk/competition-finalists/.

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Fighting Deepfakes with Deepfakes

A deepfake (or deep fake) is a picture or video created with the help of artificial intelligence that looks authentic but is not. Also the methods and techniques in this context are labeled with the term. Machine learning and especially deep learning are used. With deepfakes one wants to create objects of art and visual objects or means for discreditation, manipulation and propaganda. Politics and pornography are therefore closely interwoven with the phenomenon. According to Futurism, Facebook is teaming up with a consortium of Microsoft researchers and several prominent universities for a “Deepfake Detection Challenge”. “The idea is to build a data set, with the help of human user input, that’ll help neural networks detect what is and isn’t a deepfake. The end result, if all goes well, will be a system that can reliably fake videos online. Similar data sets already exist for object or speech recognition, but there isn’t one specifically made for detecting deepfakes yet.” (Futurism, 5 September 2019) The winning team will get a prize – presumably a higher sum of money. Facebook is investing a total of 10 million dollars in the competition.