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🏆#EPFL#LakeCTF 2026 — it's a wrap! 🚀
Another year, another amazing battle of brains of creativity!🧠💻
Congratulations to this year's winning team pls carry :3! And thank you to every participant for making this edition such a success.👏
🥇 pls carry :3
🥈 .;.;.
🥉 FluxFingers
🚀 LakeCTF is LIVE!
All challenges dropped at once—teams are already deep in it ⚡
Behind-the-scenes setup 👇more updates later 👀
#LakeCTF#CTF#CyberSecurity
🚀The LakeCTF Finals coming to @EPFL_en on May 1st!
Top 10 teams. One unforgettable showdown in Lausanne. 🥳
Web, crypto, reverse and more - LakeCTF is where student cybersecurity talent meets competition, collaboration, and community.
More info 👉🏽https://t.co/sJgGxCx1Hr
@splacour40 The discussion explores the ethical challenges of AI-assisted decision-making, its environmental footprint, and whether the benefits truly outweigh the costs.
Stéphanie Lacour @splacour40, VP for Support to Strategic Initiatives at EPFL, opens the conference “When AI Meets Sustainability: Environmental, Social and Ethical Perspectives” with welcome remarks.
Followed by a round-table with Aimee van Wynsberghe, Katharina Frey, Executive Director of ICAIN (ETHZ), Silvia Quarteroni, Chief Transformation Officer and Head of Innovation at the Swiss Data Science Center (SDSC, EPFL) and Rachid Guerraoui, professor at Distributed Computing Laboratory at EPFL, moderated by Julie Winz.
📣💫 The 5th episode of #AIUnplugged is available on our YouTube channel !
The series explores how #AI is already being used across industries globally – in business, research, humanitarian action, government, and planning.
🔎🛡This week, we’re diving into AI and #cybersecurity with @KathrinGrosse , research scientist at @IBMResearch Zurich. Her work focuses on bridging the gap between AI #SecurityResearch and the real-world problems that AI users face every day.
https://t.co/SeD9Zd9qng…
Studies show that RL sharpens learned skills and can enable real generalization, but only with the right setup: 🏆
strong verification, dense rewards, structured training, and challenging data.
AI can solve Olympiad math… 🧮 but still fails simple reasoning tasks 🤯
Today’s IC Colloquium by Nouha Dziri explores why and how we can build models that think more reliably 🤓.
And in this, what role does RL play? 👩🎓
In a world where models have seen almost everything, measuring real generalization is hard, so she tested reasoning across 3 levels: → applying a learned algorithm → combining multiple learned ones → inventing entirely new solutions