From a scientific/technical perspective, LiveMemories aimed at scaling up content extraction techniques towards very large scale extraction from multimedia sources, setting the scene for a Content Management Platform for Trentino; using this information to support new ways of linking, summarizing and classifying data in a new generation of digital memories which are `aliveβ and user-centered; and to turn the creation of such memories into a communal web activity. Achieving these objectives made Trento a key player in the new Web Science Initiative, digital memories, and Web 2.0. But LiveMemories was also intended to have a social and cultural impact besides the scientific one: through the collection, analysis and preservation of digital memories of Trentino; by facilitating and encouraging the preservation of such community memories; and the fostering of new forms of community, and enrichment of our cultural and social heritage.
New benchmark evaluates π #AI detection tools across languages, π finding performance gaps π in low-resource languages and challenges β οΈ with distinguishing AI-translated and hybrid humanβAI text.
@jasonslucas1 @adaku_uchendu @penn_state @Visa
π Call for Participation: @iwslt Offline Speech Translation 2026
Break language barriers with new languages & real-world scenarios + a brand new source-language agnostic speech translation track π
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Evaluation: Apr 1β15
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#IWSLT2026 #SpeechAI
π Call for Participation: @iwslt Model Compression 2026
Make large multilingual foundation models small β‘ without losing power in ENβDE/ZH speech-to-text translation.
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Evaluation: Apr 1β15
#IWSLT2026 #SpeechAI #Qwen2 #EfficientAI
π Call for Participation: @iwslt Subtitling 2026
Turn speech into ready-to-watch subtitles π¬ across TV, News & YouTube!
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Evaluation: Apr 1β15
#IWSLT2026 #SpeechAI #MultimodalAI