Can AI be part of the sustainability solution - without becoming part of the problem? Join us for an afternoon of expert talks, real-world use cases, and open discussion at the intersection of artificial intelligence and environmental responsibility.
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\r\nEPFL Innovation Park, Building C, Room Neptune
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\r\n22 April 2026
\r\n16:00 – 19:00
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\r\nMore information and registration: HERE
The talk is jointly organized by the EPFL AI Center and the AIMM Lab as part of the AI for Science seminar series.
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\r\nHosting professor: Prof. Charlotte Bunne (AIMM)
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\r\nThis event is restricted to EPFL members. Registration with an EPFL email is required: HERE.
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\r\nTitle
\r\nAI for Science at Anthropic: Building Tools for Scientific Discovery
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\r\nAbstract
\r\nThis talk will explore Anthropic's approach to developing AI systems that can meaningfully accelerate scientific research. I'll discuss our AI for Science program, share examples of how researchers are using Claude across domains from molecular biology to materials science, and outline our thinking on what makes AI genuinely useful for working scientists. I'll also touch on the Model Context Protocol (MCP) and how it enables integration with scientific tools and data sources.
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\r\nBio
\r\nJonah Cool leads life sciences partnerships and deployment at Anthropic, where he works directly with researchers, academic institutions, and biotech startups to apply frontier AI to scientific discovery. His focus is on understanding where large language models can meaningfully accelerate biological research and building the partnerships, evaluation frameworks, and deployment practices to make that happen responsibly.
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\r\nBefore Anthropic, Jonah served as VP of Science & Partnerships at the Chan Zuckerberg Initiative, where he launched the Single Cell Biology program and led cross-sector technology development spanning biotech, academia, and philanthropy. He holds a PhD in cell biology (AHA fellow) and completed a postdoctoral fellowship at the Salk Institute (NIH fellow). His career has moved across academia, biotech startups, large-scale philanthropy, and now frontier AI, connected by a consistent focus on finding the leverage points where new technology can change how science gets done.
The EPFL AI Center is delighted to invite you to join the exchange session about the Research Computing Platform (RCP).
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\r\nAre you building, training ML models? Are you currently facing challenges regarding IT infrastructure, and looking for reliable, collaborative, high-capacity, and affordable storage solutions to manage your research data? Are you seeking information about the computing costs?
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\r\nThe Research Computing Platform (RCP) offers campus-wide IT infrastructure geared for the research community. The offering includes a GPU infrastructure (> 400) aiming at making AI compute as accessible as possible throughout the campus.
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\r\nThis event will provide insights into the various services RCP offers to the EPFL research community.
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\r\nEvent Details:\r\n
Le stress et l’anxiété font aujourd’hui partie intégrante du quotidien, d’autant plus dans un cadre professionnel. Pression de performance, surcharge d’informations, incertitudes et distractions digitales, nous affectent toutes et tous. Lorsqu’ils deviennent chroniques, ces états impactent la santé mentale, le sommeil, la concentration, la motivation, les relations sociales et la qualité du travail.
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\r\nComprendre ces mécanismes, apprendre à les réguler, et surtout identifier ses propres déclencheurs et ressources devient alors essentiel pour évoluer dans un cadre professionnel et promouvoir un travail stable et une qualité de vie plus saine.
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\r\nCette formation vise à renforcer votre résilience, vous permettre d’identifier vos déclencheurs personnels, et d’activer des ressources internes et externes pour retrouver calme, clarté mentale et stabilité au quotidien.
European Framework Programs for Research and Innovation.
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\r\nIs your laboratory involved in one or several European projects, and is one of your responsibilities to ensure their effective administrative, financial, and human‑resources management? If so, it is important to take the time to become familiar with the structure of these projects and with the specific management rules that apply to them.
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\r\nThis training course will guide you through the contractual documents and their relevant content for project management. Administrative, financial, and HR management rules will be presented and discussed using practical case studies.
\r\nThe training will also help participants become familiar with the European portal and the SEFRI reporting platform.
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\r\nIt is recommended to attend this training as early as possible, ideally at the start of the project.
Thesis Director: Prof. N. Marzari,
\r\nPhysics doctoral program
\r\nThesis Nr. 11552
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\r\nTo take part in the public defense, please contact directly the speaker
Hosted by Frédéric Grouiller, CIBM MRI HUG-UNIGE Section head, we are pleased to invite you to attend the CIBM 7T MRI Seminar on April 21st at 10:00 CEST by Caroline Le Ster from the CEA Neurospin, Paris who will be sharing on “Leveraging the potential of UHF scanners for fMRI studies”.
\r\nAbstract
\r\nThere is a growing availability of 7T scanners, with approximately 100 systems currently installed worldwide. These ultra-high-filed (UHF) scanners are particularly relevant for neuroimaging, where anatomical and functional images can be acquired with higher spatial and temporal resolution than on conventional scanners. However, UHF scanners remain difficult to operate, and understanding their specific limitations is essential. These systems indeed face several challenges arising from MR physics and biological effects that must be addressed within engineering constraints. Leverage the potential of UHF scanners, for instance through field monitoring, is therefore important to make the most of these scanners and benefit from the intrinsic SNR gain.
\r\nfMRI particularly benefits from the increase in magnetic field strength, enabling studies to be performed at higher resolution than at lower fields. In order to maintain reasonable acquisition times despite larger imaging matrices, several acceleration strategies have been developed, e.g. multi-slice EPI (SMS-EPI), three-dimensional EPI (3D-EPI) and non-Cartesian sampling schemes. In addition, functional contrasts also benefit from the field increase, including improved spatial localization of the BOLD contrast and the possibility to exploit VASO contrast.