iiinova — where your digital self keeps evolving

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Rapporteur @euractiv.com · 14/11/2025

📰 Calling all journalists and fact-checkers! Be part of a European pilot to improve AI tools that help detect and analyse disinformation. Your feedback will guide the next generation of trustworthy, ethical AI for media. Sign up now 👉 forms.gle/S6RvKp91u5hQ... #AI4TRUST #HorizonEU

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vera.ai @vera-ai.bsky.social · 08/09/2025

New handbook published by @ebu.ch - the title sums it up: "Handbook on the legal and ethical obligations to developers and deployers of AI-based fact-checking tools". Available for download.

veraai.eu

EBU handbook on legal and ethical obligations in AI development released

VERification Assisted by AI. R&D & innovation co-funded by the HorizonEU. Continuing WeVerify work. And much more!

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vera.ai @vera-ai.bsky.social · 23/06/2025

Join us on 24 June from 2-5 pm CET for our second online webinar in which we present outcomes of our work on #disinformation detection and content analysis. Focus: research. More, incl. registration link: www.veraai.eu/posts/two-ve... CC @sympap.bsky.social @ivansrba.bsky.social

Image with details about the event as indicated here and on website

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vera.ai @vera-ai.bsky.social · 23/06/2025

Alert: 📌 Registration open to join the MediaEval 2025 challenge. 📂 Data & Submission Instructions Available in the official GitHub repository: 👉 github.com/mever-team/m... 📅 Important Dates Data release: June 20 Runs due: September 15 Paper submission: October 8 Workshop: October 25–26 Website 👇

multimediaeval.github.io

MediaEval 2025

The MediaEval Multimedia Evaluation benchmark offers challenges in artificial intelligence for multimedia data. Participants address these challenges by creating algorithms for analyzing, exploring an...

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ELLIOT Project @elliot-eu.bsky.social · 12/06/2025

📢 ELLIOT is coming! A €25M #HorizonEurope project to develop open, trustworthy Multimodal Generalist Foundation Models, #MGFM, for real-world applications. Starting July, it brings 30 partners from 12 countries to shape Europe’s #AI future. 🔍 Follow for updates on #OpenScience & #FoundationModels.

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vera.ai @vera-ai.bsky.social · 10/06/2025

Just over one week to go before our first workshop takes place in which we present outcomes of our work. On 17 & 24 June, 2-5 pm we invite the #verification, #factchecking, #disinformation detection community to meet us on Zoom. Registration required. Hope to see you then!

veraai.eu

vera.ai presents its outcomes - and invites you all to attend two webinars!

VERification Assisted by AI. R&D & innovation co-funded by the HorizonEU. Continuing WeVerify work. And much more!

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vera.ai @vera-ai.bsky.social · 12/05/2025

We're inviting the #verification, #factchecking and #disinformation detection community to 2 workshops in which we showcase veraAI results: 17 June is targeting #journalists and #factcheckers; 24 June focusses on the R&D community. Both events run from 2-5 pm. Registration required. See you soon!? 😃

veraai.eu

vera.ai presents its outcomes - and invites you all to attend two webinars!

VERification Assisted by AI. R&D & innovation co-funded by the HorizonEU. Continuing WeVerify work. And much more!

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vera.ai @vera-ai.bsky.social · 30/01/2025

veraAI partner @disinfo.eu / Ana Romero-Vicente (@anicanaca.bsky.social) authored a report entitled "Visual assessment of Coordinated Inauthentic Behaviour in disinformation campaigns". Editor: @netosessa.bsky.social. We provide a summary and the full publication here. www.veraai.eu/posts/report...

veraai.eu

Report: Visual assessment of Coordinated Inauthentic Behaviour in disinformation campaigns

VERification Assisted by AI. R&D & innovation co-funded by the HorizonEU. Continuing WeVerify work. And much more!

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Yoshua Bengio @yoshuabengio.bsky.social · 29/01/2025

Today, we are publishing the first-ever International AI Safety Report, backed by 30 countries and the OECD, UN, and EU. It summarises the state of the science on AI capabilities and risks, and how to mitigate those risks. 🧵 Full Report: assets.publishing.service.gov.uk/media/679a0c... 1/21

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Andrei Bursuc @abursuc.bsky.social · 22/01/2025

Receiving #ICLR2025 decisions and then #CVPR2025 reviews shortly after

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sympap.bsky.social @sympap.bsky.social · 22/01/2025

📢 We will be co-organizing the 4th edition of the Multimedia AI against Disinformation (MAD'25) workshop on June 30 @ Chicago, USA. 👉 more information on topics of interest, dates and submissions: mad2025.aimultimedialab.ro ℹ️ The workshop is supported by @vera-ai.bsky.social.

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Mediterranean Digital Media Observatory (MedDMO) @meddmohub.bsky.social · 17/12/2024

Hello Bluesky! We are MedDMO, a regional hub of @edmo-eu.bsky.social covering Greece, Cyprus, and Malta. We bring together research, fact-checking, and media organizations that conduct internationally acknowledged research and activities in the area of disinformation. Let's connect!

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Nicolas Dufour @nicolasdufour.bsky.social · 10/12/2024

🌍 Guessing where an image was taken is a hard, and often ambiguous problem. Introducing diffusion-based geolocation—we predict global locations by refining random guesses into trajectories across the Earth's surface! 🗺️ Paper, code, and demo: nicolas-dufour.github.io/plonk

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sympap.bsky.social @sympap.bsky.social · 29/11/2024

Energy consumption of AI becomes a priority as such systems are widely deployed and are responsible for a big part of society's energy footprint. In our latest work, we proposed the concept of neural network "complementarity" to quantify the extent that two NNs lead to complementary predictions...

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Christoph Molnar @christophmolnar.bsky.social · 22/11/2024

Just realized BlueSky allows sharing valuable stuff cause it doesn't punish links. 🤩 Let's start with "What are embeddings" by @vickiboykis.com The book is a great summary of embeddings, from history to modern approaches. The best part: it's free. Link: vickiboykis.com/what_are_emb...

Over the past decade, embeddings — numerical representations of
machine learning features used as input to deep learning models — have
become a foundational data structure in industrial machine learning
systems. TF-IDF, PCA, and one-hot encoding have always been key tools
in machine learning systems as ways to compress and make sense of
large amounts of textual data. However, traditional approaches were
limited in the amount of context they could reason about with increasing
amounts of data. As the volume, velocity, and variety of data captured
by modern applications has exploded, creating approaches specifically
tailored to scale has become increasingly important.
Google’s Word2Vec paper made an important step in moving from
simple statistical representations to semantic meaning of words. The
subsequent rise of the Transformer architecture and transfer learning, as
well as the latest surge in generative methods has enabled the growth
of embeddings as a foundational machine learning data structure. This
survey paper aims to provide a deep dive into what embeddings are,
their history, and usage patterns in industry.

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Andrei Bursuc @abursuc.bsky.social · 20/11/2024

The Cosmos suite of neural tokenizers for images & videos is impressive. Cosmos is trained on diverse high-res imgs & long-vids, scales well for both discrete & continuous tokens, generalizes to multiple domains (robotics, driving, egocentric ...) & has excellent runtime github.com/NVIDIA/Cosmo...

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