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Lausanne, Switzerland
Apertus 1.5 is out! Check out the latest version of one of the world’s largest fully open language models, developed by @EPFL_en , @ETH_en , and CSCS. ✅Multimodal capabilities ✅Stronger reasoning ✅A roadmap of regular releases Models: huggingface.co/swiss-ai #OpenLLM
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EPFL_AI_Center retweeted
The math community deserves its own AI system. Introducing Open Math OS: the infrastructure for Math 2.0. Open models and AI agents. 24/7 cloud compute with 100+ tools. The community controls its data. Compute is free for approved teams. Apply now: openmathmodel.org/
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Working at a Swiss NGO or non-profit and curious about using AI? Join a hands-on workshop at EPFL to explore Apertus, learn how it can be deployed on your own infrastructure, and share your needs with the team building it. Get a spot: luma.com/k910o3e1 @SDSCdatascience
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Apertus 1.5 is coming to Proton’s Lumo AI assistant. The partnership brings the fully open model to real-world users and enables voluntary, anonymised feedback to support its continued development. Read more: ai.epfl.ch/apertus-partners-…
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EPFL_AI_Center retweeted
New paper! Synthetic Persona Pretraining (SPP): Alignment from Token Zero Rather than aligning models after pretraining, we do so from the very start. SPP models are more faithful to our constitution, less misaligned, & more robust to jailbreaks. Advantage grows with scale! 🧵
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Apertus 1.5 is out! Check out the latest version of one of the world’s largest fully open language models, developed by @EPFL_en , @ETH_en , and CSCS. ✅Multimodal capabilities ✅Stronger reasoning ✅A roadmap of regular releases Models: huggingface.co/swiss-ai #OpenLLM
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Replying to @unicc_ict
@unicc_ict and @EPFL_en 's Machine Learning and Optimization Laboratory have published a white paper presenting a practical framework for evaluating the safety and reliability of LLMs in institutional settings. Learn more here: ai.epfl.ch/epfl-lab-and-unic…
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📖🔎 Scientific knowledge is growing faster than we can read it. @marcelsalathe talks with Eric Olson, co-founder and CEO of @consensusapp , about AI, scientific literature, evidence-first design, and the future of research. 🎧Listen to the episode: open.spotify.com/episode/0fm…
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EPFL_AI_Center retweeted
An aerial-aquatic vehicle developed at EPFL and MIT could lead to a new class of devices for ocean exploration. actu.epfl.ch/news/a-flapping…
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EPFL_AI_Center retweeted
A major question in multimodal modeling is how to leverage strong pre-trained models, such as industry-scale LLMs and VLMs, during training to avoid starting from scratch. This is important as the demand for rich and domain-specific multimodal models continues to increase, while training them from scratch is obviously impractical due to limited data and compute. The so-called “any-to-any” multimodal models can model a large diverse dictionary of modalities. That’s good. Their downside is that their architectures are often not decoder-only, which has limited their performance in practice and prevents them from leveraging strong pre-trained decoder-only models as priors. We are releasing MODUS (@icmlconf '26) a decoder-only any-to-any multimodal model to address some of these questions. A single transformer decoder predicts any modality from any others with no modality-specific heads, losses, or task pipelines. We show efficient adaptation of established models, e.g., BAGEL, to rich any-to-any multimodal modeling. We are releasing 14B to 77B parameter models. All materials are open-source. The download links and demos here modus-multimodal.epfl.ch/ 🧵
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EPFL_AI_Center retweeted
🚨 3 AI Research Engineer positions @EPFL_en on safety pretraining & alignment for LLMs Co-hosted by #SwissAI #MLO #dlab ➡️ Will contribute directly to #Apertus—one of the world's largest fully-open LLM efforts, trained on 10k+ GPUs 🖥️ 👉 Info & app: dlab.epfl.ch/2026-07-06-safe…
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🎙️From task-specific AI to persuasive, are we witnessing a fundamental rift in technology? On #InsideAI, @cervisiarius and @marcelsalathe discuss LLM persuasion, language bias in AI, and why “machine psychology” may be the next frontier. 🎧open.spotify.com/episode/6j9…
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🚀𝗳𝗲𝘄 𝘀𝗽𝗼𝘁𝘀 𝗹𝗲𝗳𝘁 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗔𝗜 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗦𝗽𝗿𝗶𝗻𝘁 𝗮𝘁 𝗘𝗣𝗙𝗟. 📚 𝗱𝗮𝘁𝗲𝘀: Feb 12, 13, 23 👉 Register here: lnkd.in/eRE8xSAW 👉 More: lnkd.in/etbE7Gbk @EPFL @ICepfl @kaboli_amin @epflalumni
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Our new podcast episode is live! @marcelsalathe welcomes Eamonn Maguire from @ProtonPrivacy for a rich discussion on privacy-focused AI and how interdisciplinary thinking shapes resilient tech ecosystems. 🔒 🎧 open.spotify.com/episode/3Ri…
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Greetings from Copenhagen! 🇩🇰 We’re at #EurIPS representing the ELLIS Lausanne Unit. We are at the ELLIS Booth D03-07! Come and say hi!
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EPFL_AI_Center retweeted
Meet the speakers for our Nov 18 webinar! How can global companies leverage Switzerland’s trusted digital infrastructure to future-proof operations? Join us for insights from top experts in blockchain, AI & innovation. 📅 Nov 18 | 16:30 CET 🚀 Register: s-ge.com/en/event/s-ge-event…
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New EPFL AI Center × AITHYRA collaboration combines AI, computational biology, and bioengineering to accelerate molecular and therapeutic discovery, led by Prof. Bruno Correia 🧬🤝 🔗Read more: ai.epfl.ch/epfl-ai-center-an…
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📢The 2nd Call for the EPFL AI Center & Swiss AI Initiative Postdoctoral Fellowship is open! Don't miss out! Open to candidates worldwide (PhD within last 2 years or final-year PhD students) | Deadline: November 3rd 👉More info: epfl.ch/research/funding/epf…
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