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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            "description": "<strong>HSG START Accelerator – Three Months to Become Investor‑Ready</strong><br>\r\n<br>\r\nThe <a href=\"https://www.hsgstartaccelerator.org/program\"><strong>HSG START Accelerator</strong></a> is a <strong>3‑month (September to December 2026), high‑intensity program</strong> in St. Gallen designed to help early‑stage tech and deeptech startups become fully <strong>investor‑ready</strong>. Run by the <a href=\"https://www.linkedin.com/company/university-of-st-gallen/\">University of St. Gallen</a>, the <a href=\"https://www.linkedin.com/company/start-foundation-ch/\">START Foundation</a>, and the <a href=\"https://www.linkedin.com/company/switzerland-innovation-park-ost/\">Switzerland Innovation Park Ost</a>, it combines strategic coaching, expert mentoring, and direct exposure to investors across Europe.<br>\r\n<br>\r\n<strong>What the program provides</strong>\r\n<ul>\r\n\t<li><strong>CHF 15,000 non‑dilutive grant</strong>, with access to <strong>up to CHF 200,000</strong> in additional funding.</li>\r\n\t<li><strong>Tailored coaching</strong> from HSG experts and experienced founders.</li>\r\n\t<li><strong>Weekly mentoring</strong> with investors, operators, and industry specialists.</li>\r\n\t<li><strong>Core sessions</strong> including Bootcamp, Expert Sessions, Roasting Sessions, Mock Office Hours, and Demo Day.</li>\r\n\t<li><strong>On‑site participation in St. Gallen</strong>, with dedicated coworking space.</li>\r\n</ul>\r\n<strong>Who it’s for</strong><br>\r\n<br>\r\nStartups in <strong>deeptech, AI, MedTech, ClimaTech, robotics</strong>, and emerging technologies, typically coming from leading institutions (ETH, EPFL, Empa, HSG, etc.) and preparing for their next growth and fundraising milestones.<br>\r\n<br>\r\n<strong>Program impact</strong><br>\r\n<br>\r\nAlumni consistently report sharper market positioning, stronger business models, and high‑value investor connections, making the program a recognized launchpad for ambitious European founders.<br>\r\n<br>\r\n<strong>Application deadline</strong><br>\r\n<br>\r\n29 May 2026<br>\r\n<a href=\"https://form.typeform.com/to/CnxTKS8K?typeform-source=www.hsgstartaccelerator.org\">Apply now</a>",
            "image_description": "",
            "creation_date": "2026-05-12T16:11:21",
            "last_modification_date": "2026-05-12T16:11:35",
            "link_label": "webpage",
            "link_url": "https://www.hsgstartaccelerator.org/program",
            "canceled": "False",
            "cancel_reason": "",
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            "spoken_languages": [
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            "speaker": "",
            "organizer": "<a href=\"https://www.linkedin.com/company/university-of-st-gallen/\">HSG START Accelerator </a>",
            "contact": "<a href=\"mailto:[email protected]\">Oliver Sabathy</a>",
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                "fr_label": "Sur inscription",
                "en_label": "Registration required"
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            "keywords": "Startup; call for application; deeptech; funding",
            "file": "https://memento.epfl.ch/public/upload/files/ApplicationBatch3FlyerEPFL.pdf",
            "icalendar_url": "https://memento.epfl.ch/event/export/120727/",
            "category": {
                "id": 17,
                "code": "DEADLINE",
                "fr_label": "Echéance",
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        },
        {
            "id": 71925,
            "title": "Workshop series “Responsible AI skills for education”",
            "slug": "workshop-series-responsible-ai-skills-for-educatio",
            "event_url": "https://memento.epfl.ch/event/workshop-series-responsible-ai-skills-for-educatio",
            "visual_url": "https://memento.epfl.ch/image/33241/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33241/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-06-02",
            "end_date": "2026-06-02",
            "start_time": "11:00:00",
            "end_time": "12:00:00",
            "description": "<p>Current research indicates that the role of generative AI in education is a double-edged sword: on one hand it can assist teachers for designing effective learning tasks and resources, on the other hand it can have negative effects on student learning and raises a range of ethical questions.<br>\r\nIn our new workshop series “Responsible AI skills for education” we will try to navigate these questions by focusing on specific teaching and learning activities and identifying practical skills you can develop for your everyday practice. Through a blend of concise theoretical input and hands-on activities, we will explore both the benefits and the risks of generative AI in education in short 1-hour sessions on campus. The first two workshops in the series focus on quiz design and critical analysis skills.<br>\r\n<br>\r\n<strong>Effective quiz design:</strong><br>\r\nIn this 1-hour workshop, we will focus on the design of effective quiz questions for your class with the assistance of LLM tools. We will explore both the ethical and practical questions associated with LLM use for this task through theoretical inputs and hands-on activities.</p>",
            "image_description": "human vs ai",
            "creation_date": "2026-05-22T09:29:28",
            "last_modification_date": "2026-05-22T09:37:05",
            "link_label": "BookWhen",
            "link_url": "https://bookwhen.com/epfl",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "On Campus",
            "url_place_and_room": "",
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            "spoken_languages": [
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            "speaker": "Center for Digital Education (CEDE)",
            "organizer": "Center for Digital Education (CEDE)",
            "contact": "Cécile Hardebolle: [email protected]",
            "is_internal": "True",
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                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "Responsible AI, Education, Quiz, Critical Analysis, Skills",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120832/",
            "category": {
                "id": 15,
                "code": "FORM",
                "fr_label": "Formations internes",
                "en_label": "Internal trainings",
                "activated": true
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            "academic_calendar_category": null,
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                "https://memento.epfl.ch/api/v1/mementos/432/?format=api"
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        },
        {
            "id": 71930,
            "title": "Generative models for black-box optimization of complex objectives",
            "slug": "generative-models-for-black-box-optimization-of-co",
            "event_url": "https://memento.epfl.ch/event/generative-models-for-black-box-optimization-of-co",
            "visual_url": null,
            "visual_large_url": null,
            "visual_maxsize_url": null,
            "lang": "en",
            "start_date": "2026-07-09",
            "end_date": "2026-07-09",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nicolas Flammarion<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Alexander Mathis<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nMany high-impact problems in science and engineering reduce to optimizing a complex objective, where each evaluation is costly and often unreliable: physical experiments fail, simulators diverge, and stochastic systems return noisy feedback. Classical black-box optimizers struggle in this regime, where evaluation budgets are tight and the feasible region is hard to characterize a priori. Our work investigates how the statistical expressivity of modern generative samplers can be leveraged in black-box optimization. We propose that these samplers enable efficient navigation of feasible sets and optimization of geometrically complex objectives under limited, unreliable observations. <br>\r\n<br>\r\nTwo complementary lines of work have already been studied. The main one, SPARROW, demonstrated that a sampler-driven optimizer can substantially reduce the number of function calls needed to maximize complex and unreliable objectives. A parallel line established that samplers can be steered to satisfy hard constraints without sacrificing the statistical diversity of the generated samples. Because SPARROW imposes minimal assumptions on the underlying sampler, these constrained samplers can drive it directly, opening a path to constrained black-box optimization.<br>\r\n<br>\r\nBuilding on these results, two directions are planned. The first is theoretical: a deeper mathematical study of sampler-driven optimization, drawing on the broader literature on sample-efficient black-box optimization, in order to derive stronger guarantees and more efficient algorithms. The second is applied: applying the methods to concrete domains and exploiting the structure those domains expose to sharpen performance beyond what a pure black-box treatment can achieve.<br>\r\n<br>\r\nThe applications of low-budget black-box optimization are diverse, including engineering design (e.g. aerodynamic shape optimization, mechanical components), scientific discovery (e.g. protein and molecule design under synthesizability and stability constraints), and the safety and security of opaque ML systems (e.g. query-efficient adversarial probing, red-teaming of black-box models).<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n ",
            "image_description": "",
            "creation_date": "2026-05-22T12:53:32",
            "last_modification_date": "2026-05-22T13:09:04",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 333",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20333",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "Edouard Dufour",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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                "fr_label": "Tout public",
                "en_label": "General public"
            },
            "registration": {
                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120837/",
            "category": {
                "id": 1,
                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
                "en_label": "Conferences - Seminars",
                "activated": true
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            "academic_calendar_category": null,
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        },
        {
            "id": 71931,
            "title": "Access Bit Scanning for Page Replacement Policies",
            "slug": "access-bit-scanning-for-page-replacement-policies",
            "event_url": "https://memento.epfl.ch/event/access-bit-scanning-for-page-replacement-policies",
            "visual_url": null,
            "visual_large_url": null,
            "visual_maxsize_url": null,
            "lang": "en",
            "start_date": "2026-06-22",
            "end_date": "2026-06-22",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Thomas Bourgeat<br>\r\nThesis advisor: Prof. Babak Falsafi<br>\r\nCo-examiner: Prof. Sanidhya Kashyap<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nModern workloads with memory footprints ranging from hundreds of gigabytes to several terabytes have become widespread over the last decade. With memory accounting for nearly 50% of server costs in modern data centres, provisioning large DRAM capacities significantly increases total cost of ownership (TCO). Tiered memory architectures combine memories with different capacities, latencies, and cost characteristics to improve cost efficiency while satisfying application performance requirements. Application performance in these architectures is highly sensitive to page placement decisions. Consequently, making informed placement decisions requires precise tracking of data access patterns and accurate identification of hot pages.<br>\r\n<br>\r\nExisting operating systems commonly rely on hardware-maintained access bits in page table entries to estimate memory access behaviour and identify hot data regions. They periodically scan the application's entire virtual address space to construct workload access profiles. However, linear scanning of page table access bits does not scale for modern applications with terabyte-scale memory footprints. Since scanning overhead scales with the memory footprint, a single full scan can take several seconds for workloads with large memory footprints. Reducing scanning frequency lowers monitoring overhead but also decreases profiling accuracy and responsiveness to changing access patterns, resulting in a fundamental tradeoff between profiling accuracy and monitoring overhead. Therefore, we need scalable, low-overhead mechanisms for access monitoring in next-generation memory management systems.<br>\r\n<br>\r\nIn this talk, I will discuss recent approaches to scalable memory access profiling in large-memory systems. Specifically, I will present works that use techniques such as adaptive sampling, region-based monitoring, and hierarchical profiling of page table trees to reduce and bound scanning overhead. <br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
            "image_description": "",
            "creation_date": "2026-05-22T13:08:29",
            "last_modification_date": "2026-05-22T13:18:11",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BC 010",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20010",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "<br>\r\nArunkrishna Annai Madalam Sivasubramanian  ",
            "organizer": "",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
            "vulgarization": {
                "id": 1,
                "fr_label": "Tout public",
                "en_label": "General public"
            },
            "registration": {
                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "EDIC candidacy exam",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120838/",
            "category": {
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                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
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        },
        {
            "id": 71934,
            "title": "Future of Health Grant",
            "slug": "future-of-health-grant-3",
            "event_url": "https://memento.epfl.ch/event/future-of-health-grant-3",
            "visual_url": "https://memento.epfl.ch/image/33245/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33245/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33245/max-size.jpg",
            "lang": "en",
            "start_date": "2026-07-31",
            "end_date": "2026-07-31",
            "start_time": "11:00:00",
            "end_time": "12:00:00",
            "description": "<p>The <strong>Future of Health Grant</strong> is a support program dedicated to accelerating early‑stage digital health startups developing solutions relevant to the Swiss healthcare system.<br>\r\nCreated by CSS and the EPFL Innovation Park, it combines equity‑free funding, expert guidance and access to healthcare stakeholders to help founders progress from prototype to real‑world validation.<br>\r\n<br>\r\n<strong>For whom</strong>\r\n</p><ul>\r\n\t<li>For early‑stage digital health startups developing solutions that can be applied within the Swiss healthcare system.</li>\r\n\t<li>Eligible teams may be based in Switzerland or abroad, provided their innovation is relevant to Swiss clinical, operational or preventive care contexts.</li>\r\n\t<li>The program targets founders at the prototype, MVP or early validation stage.</li>\r\n</ul>\r\n<strong>What you gain</strong>\r\n\r\n<ul>\r\n\t<li><strong>equity‑free financial support</strong> at three possible levels (CHF 10k, 30k or 50k), depending on project maturity and needs</li>\r\n\t<li>teams benefit from <strong>structured coaching</strong>, <strong>industry mentoring</strong></li>\r\n\t<li>access to <strong>paid specialists</strong> through the “CxO as a Service” model</li>\r\n\t<li>The program also facilitates <strong>real‑world validation</strong> opportunities with healthcare professionals, hospitals, insurers and ecosystem partners in Switzerland</li>\r\n</ul>\r\n<strong>How it works</strong><br>\r\n<br>\r\nThe program operates fully virtually and follows a milestone‑based approach. Selected startups receive regular guidance from experts in digital health, business development and regulatory pathways. Each team works toward defined objectives, with progress reviewed at set intervals. The program supports founders in strengthening their product, business model and clinical relevance.<br>\r\n<strong>Program context</strong><br>\r\n<br>\r\nLaunched in 2022, the Future of Health Grant is an initiative of <strong>CSS</strong> and the <strong>EPFL Innovation Park</strong>. Its mission is to accelerate the adoption of impactful digital health solutions by bridging early‑stage innovation with the needs of real healthcare systems.",
            "image_description": "",
            "creation_date": "2026-05-22T13:39:38",
            "last_modification_date": "2026-05-22T13:39:44",
            "link_label": "Webpage",
            "link_url": "https://future-of-health.org/",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "",
            "url_place_and_room": "",
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            "spoken_languages": [
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            "speaker": "",
            "organizer": "<a href=\"https://future-of-health.org/\">Future of Health Grant</a>, a programm powered by Fondation EPFL Innovation Park",
            "contact": "Mathilde Durvy <a href=\"mailto:[email protected]\">[email protected]</a>",
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