retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=100&ordering=event__end_time
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 71569,
            "title": "Call for Challenges 2026 \"Future by Design: The New Codes of Luxury, Sportswear and Wellbeing\"",
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            "start_date": "2026-09-24",
            "end_date": "2026-09-24",
            "start_time": "11:00:00",
            "end_time": "12:00:00",
            "description": "<p>The Innovation Booster Fashion &amp; Lifestyle empowers operational, technological, and social innovations developed with and for the Swiss Fashion and Lifestyle sector.<br>\r\nLeveraging the Leading House community and network, the Innovation Booster Fashion &amp; Lifestyle creates a unique ecosystem enabling the dissemination of radical solutions to the challenges of the sector.\r\n</p><div> </div>\r\n<strong>Important dates</strong>\r\n\r\n<ul>\r\n\t<li><strong>Call Opening: </strong>April 29th, 2026 (you can register for the webinar to get all information needed - <a href=\"https://share.hsforms.com/10QnRH1qwRAe_oXAwUwVPSw4m7jf?utm_campaign=Innovation%20Booster&amp;utm_medium=email&amp;_hsenc=p2ANqtz-_IMz678HGHHwmCagJQeX3UKsPwPjZW7pAVEniG_cKcGko9nhp_vJZpxufxqpQJOOdA7c7vZmDgds8yteGhucJ5SqVRzg&amp;_hsmi=412766836&amp;utm_content=412766836&amp;utm_source=hs_email\">registere here</a>) </li>\r\n\t<li><strong>Call Closing: </strong>September 24th, 2026</li>\r\n\t<li><strong>Co-Creation Workshop: </strong>October 13th, 2026 (will take place at EPFL)</li>\r\n\t<li><strong>Pitch Day: </strong>November 26th - (will take place at EPFL)</li>\r\n</ul>\r\n<br>\r\nThe <strong>Innovation Booster Fashion &amp; Lifestyle</strong> invites companies, researchers, startups, experts, and innovators to submit sector-relevant challenges that can inspire the co-creation of <strong>radical ideas</strong> for the Swiss Fashion &amp; Lifestyle ecosystem. Backed by <strong>Innosuisse</strong>, the program is designed to identify urgent and emerging market needs, bring together interdisciplinary stakeholders, and transform key industry challenges into new opportunities for innovation. Through an open and user-centric process, the most promising ideas can evolve into Innovation Teams and be further tested for <strong>desirability, viability, and feasibility</strong>.<br>\r\n<br>\r\nThe proposed challenge areas below reflect major transformation forces shaping the future of fashion, luxury, sportswear, and wellbeing: slower growth and rising selectivity in luxury, stronger demand for personalization and AI-enabled service, increasing relevance of wearables and health-oriented solutions, new opportunities in gaming and immersive attention environments, and mounting pressure for circularity, traceability, and end-of-life innovation in textiles.<br>\r\n<br>\r\n<strong>Challenge topics</strong>\r\n\r\n<ol>\r\n\t<li>AI-Powered Personalization, Design and Client Experience</li>\r\n\t<li>Wearables, Smart Garments and Connected Performance</li>\r\n\t<li>Luxury and Watchmaking Technology Innovation</li>\r\n\t<li>E-Sports, Gaming, Interactive Worlds and New Consumer Engagement Models</li>\r\n\t<li>From Sports Performance to Preventive Health and Wellbeing</li>\r\n\t<li>Augmented Customer Experience and Sensory Commerce</li>\r\n\t<li>Circular Sportswear, Recycling and End-of-Life Innovation</li>\r\n\t<li>New Business Models for Premium, Performance and Circular Growth</li>\r\n</ol>\r\nFor more info, how it works, who can apply, and to submit your application --&gt; <a href=\"https://home.jointcreate.com/en_us/challenges/1011/?organizationId=313\">visit the info page</a>.",
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            "creation_date": "2026-04-10T10:43:47",
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            "id": 71591,
            "title": "Decision Making under Risk and Uncertainty",
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            "start_date": "2026-06-08",
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            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Emre Telatar<br>\r\nThesis advisor: Prof. Michael Gastpar<br>\r\nCo-examiner: Prof. Negar Kiyavash<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nIn real-world decision problems, human needs can differ widely in background, culture, and objectives, making it difficult to design a single universal value function for agents. To design a model dealing with specific tasks, a natural starting point is to specify an appropriate utility (reward) function and optimize it. However, in practice, there are many factors that require attention when making decisions. This work mainly considers two factors: risk and uncertainty, and aims to study decision making through an information-theoretic lens, developing algorithms and interpretations for optimizing risk-sensitive utility functions under uncertainty.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n1. 1968 - Mossin - Optimal Multiperiod Portfolio Policies<br>\r\n<a href=\"https://www.jstor.org/stable/2351447\">https://www.jstor.org/stable/2351447</a><br>\r\n<br>\r\n2. 1984 - Cover - An Algorithm for Maximizing Expected Log Investment Return<br>\r\n<a href=\"https://ieeexplore.ieee.org/abstract/document/1056869\">https://ieeexplore.ieee.org/abstract/document/1056869</a><br>\r\n<br>\r\n3. 2019 - Bleuler-Lapidoth-Pfister - Gambling and Rényi Divergence<br>\r\n<a href=\"https://ieeexplore.ieee.org/abstract/document/8849800\">https://ieeexplore.ieee.org/abstract/document/8849800</a><br>\r\n ",
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            "speaker": "Bo-Yu Yang",
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            "id": 71622,
            "title": "Information Theoretic Methods for Security and Privacy, with Applications to Decentralized Learning",
            "slug": "information-theoretic-methods-for-security-and-p-2",
            "event_url": "https://memento.epfl.ch/event/information-theoretic-methods-for-security-and-p-2",
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            "start_date": "2026-06-15",
            "end_date": "2026-06-15",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Emre Telatar<br>\r\nThesis advisor: Prof. Yanina Shkel<br>\r\nThesis co-advisor: Prof Rachid Guerraoui<br>\r\nCo-examiner: Prof. Patrick Thiran<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li>Rényi Differential Privacy, <a href=\"https://ieeexplore.ieee.org/document/8049725\">ieeexplore.ieee.org/document/8049725 </a></li>\r\n\t<li>Comparing privacy notions for protection against reconstruction attacks in machine learning,<strong> </strong><a href=\"https://arxiv.org/abs/2502.04045\">https://arxiv.org/abs/2502.04045</a></li>\r\n\t<li>Information spreading in stationary Markovian evolving graphs, <a href=\"https://ieeexplore.ieee.org/abstract/document/5160986\">https://ieeexplore.ieee.org/abstract/document/5160986</a></li>\r\n</ul>",
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            "speaker": "Salim Najib",
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            "id": 71623,
            "title": "Sublinear algorithms for Attention and beyond",
            "slug": "sublinear-algorithms-for-attention-and-beyond",
            "event_url": "https://memento.epfl.ch/event/sublinear-algorithms-for-attention-and-beyond",
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            "start_date": "2026-06-05",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Ola Svensson<br>\r\nThesis advisor: Prof. Michael Kapralov<br>\r\nCo-examiner: Prof. Mika Göös<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ol>\r\n\t<li><a href=\"https://arxiv.org/pdf/2502.07861\" title=\"https://arxiv.org/pdf/2502.07861\">Streaming Attention Approximation via Discrepancy Theory</a></li>\r\n\t<li><a href=\"https://theory.stanford.edu/~virgi/cs367/papers/corrFull.pdf\" title=\"https://theory.stanford.edu/~virgi/cs367/papers/corrFull.pdf\">Finding Correlations in Subquadratic Time, with Applications to Learning Parities and the Closest Pair Problem</a></li>\r\n\t<li>Fast and Compact Random Mappings with Uniform Guarantees and Applications (by Piotr Indyk (MIT) and Ying Feng (MIT), to appear in STOC 2026) -  web link not yet available.</li>\r\n</ol>",
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            "cancel_reason": "",
            "place_and_room": "BC 229",
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            "speaker": "Boris Prokhorov ",
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            "id": 71626,
            "title": "Persona Formation in LLMs: Pretraining Origins, Alignment Persistence, and Safety Implications",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Jaggi<br>\r\nThesis advisor: Prof. Bob West<br>\r\nCo-examiner: Prof. Antoine Bosselut<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li>\r\n\t<ul>\r\n\t\t<li>Safety Pretraining: Toward the Next Generation of Safe AI<br>\r\n\t\t(<a href=\"https://arxiv.org/abs/2504.16980\">https://arxiv.org/abs/2504.16980</a>)</li>\r\n\t\t<li>Persona Vectors: Monitoring and Controlling Character Traits in Language Models (<a href=\"https://arxiv.org/abs/2507.21509\">https://arxiv.org/abs/2507.21509</a>)</li>\r\n\t\t<li>The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models (<a href=\"https://arxiv.org/abs/2601.10387v1\">https://arxiv.org/abs/2601.10387v1</a>)</li>\r\n\t</ul>\r\n\t</li>\r\n</ul>",
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            "id": 71746,
            "title": "Control Policy and Shape Co-Design",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Odersky<br>\r\nThesis advisor: Prof. Christoph Koch<br>\r\nCo-examiner: Prof. Viktor Kuncak<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nDatalog engines are starting to show their potential in a wide range of data-intensive applications. This thesis will investigate techniques for developing a fast Datalog engines, specifically focusing on datalog program rewriting and cost-based optimization for recursive queries. Furthermore, I will explore how Datalog can be specialized for specific tasks, such as static program analysis.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
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            "title": "From Exploitation to Mitigation: Analyzing Memory Corruption Primitives to Harden the Linux Kernel",
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            "event_url": "https://memento.epfl.ch/event/from-exploitation-to-mitigation-analyzing-memory-c",
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            "lang": "en",
            "start_date": "2026-06-23",
            "end_date": "2026-06-23",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. George Candea<br>\r\nThesis advisor: Prof. Mathias Payer<br>\r\nThesis co-advisor: Dr. Anil Kurmus<br>\r\nCo-examiner: Prof. Sanidhya Kashyap<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
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            "speaker": "Claudio Migliorelli",
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        {
            "id": 71853,
            "title": "HSG START Accelerator Batch #3",
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            "event_url": "https://memento.epfl.ch/event/hsg-start-accelerator-batch-3-2",
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            "id": 71904,
            "title": "Vision-Language-Action Models for Self-working Humanoid Robots",
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            "description": "<p>Recent advances in foundation models are extending AI beyond perception and language understanding toward embodied systems that can perceive, reason, and act in the physical world. This transition is accelerating the development of vision-language-action (VLA) models and robot foundation models that aim to provide robots with more general, adaptive, and deployable intelligence.<br>\r\nThis talk presents recent progress toward self-working humanoid robots, covering key ideas in embodied AI such as multimodal understanding, long-horizon planning, action generation, and real-world deployment. It also introduces recent research from Seoul National University BI Lab and AI Institute on human-robot interaction, personalization, continual adaptation, and language-conditioned robot learning, together with the Habilis framework developed at Tommoro Robotics for deployable humanoid intelligence.<br>\r\nFinally, the talk discusses a future architecture for self-working humanoids that integrates perception, memory, reasoning, planning, and action into a unified learning system. The central theme is that while large language models enabled machines to communicate, vision-language-action models will enable machines to work autonomously in the real world.<br>\r\n<br>\r\n<em><u>Byoung-Tak Zhang's biography</u><br>\r\nPresent:         <br>\r\nProfessor of Computer Science, Seoul National University,<br>\r\nDirector of the Humanoid AI Robot Center (HARC),<br>\r\nChairman of the K-Humanoid Alliance (Korean Government)<br>\r\n2019-2025:     <br>\r\nFounding Director of SNU AI Institute (AIIS)<br>\r\n2007-2008:     <br>\r\nVisiting Professor, Samsung Advanced Institute of Technology<br>\r\n2003-2004:     <br>\r\nVisiting Professor, MIT CS&amp;AI Lab (CSAIL)<br>\r\n1992-1995:     <br>\r\nResearch Associate, German National Research Center for Computer Science (GMD)<br>\r\n1988-1992:     <br>\r\nPhD in Computer Science, University of Bonn<br>\r\n1982-1988:     <br>\r\nBS and MS in Computer Science, Seoul National University</em><br>\r\n </p>",
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