Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=70
{ "count": 264, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=80", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=60", "results": [ { "id": 72735, "title": "Nanomaterials and Device Engineering for Scalable Solar Fuels Production", "slug": "nanomaterials-and-device-engineering-for-scalabl-2", "event_url": "https://memento.epfl.ch/event/nanomaterials-and-device-engineering-for-scalabl-2", "visual_url": "https://memento.epfl.ch/image/33951/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33951/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33951/max-size.jpg", "lang": "en", "start_date": "2026-10-14", "end_date": "2026-10-14", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. K. Sivula,<br>\r\nChemistry and Chemical Engineering doctoral program<br>\r\nThesis Nr. 11708<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-10-01T18:32:58", "last_modification_date": "2026-10-01T18:33:01", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "CM 1 4", "url_place_and_room": "https://plan.epfl.ch/?room==CM%201%204", "url_online_room": "https://epfl.zoom.us/j/66756994208?pwd=djaejEB0IObo1NCTZx2i7b9cQabbTc.1", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>Nicolas Johannes DIERCKS</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>Nicolas Johannes DIERCKS</strong></a><br>\r\n ", "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": "EDCH", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122020/", "category": { "id": 12, "code": "SOUTE", "fr_label": "Soutenances de thèses", "en_label": "Thesis defenses", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 72743, "title": "3D Printing", "slug": "3d-printing", "event_url": "https://memento.epfl.ch/event/3d-printing", "visual_url": "https://memento.epfl.ch/image/33958/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33958/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33958/max-size.jpg", "lang": "en", "start_date": "2026-10-14", "end_date": "2026-10-14", "start_time": "18:15:00", "end_time": "20:00:00", "description": "<p>Modeling, slicing, rapid prototyping:<br>\r\nLearn to see your mechanical projects through to completion.</p>", "image_description": "", "creation_date": "2026-10-01T19:38:52", "last_modification_date": "2026-10-01T19:39:20", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "CM 1 5", "url_place_and_room": "https://plan.epfl.ch/?room==CM%201%205", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api", "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "ENKAOUA Natan (Responsable fabrication)", "organizer": "RoboPoly", "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": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122029/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/123/?format=api" ] }, { "id": 72519, "title": "White Shadow - Exhibition", "slug": "white-shadow-exhibition", "event_url": "https://memento.epfl.ch/event/white-shadow-exhibition", "visual_url": "https://memento.epfl.ch/image/33781/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33781/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33781/max-size.jpg", "lang": "en", "start_date": "2026-10-14", "end_date": "2026-10-14", "start_time": "18:30:00", "end_time": "20:00:00", "description": "<div class=\"BCX2 Ltr OutlineElement SCXW254063798\"><strong>Opening Reception: Wednesday, October 14 at 6:30 p.m.<br>\r\nExhibition on view from October 14, 2026, through February 9, 2027</strong><br>\r\n<br>\r\nWhat if, one day, all our photographs suddenly transformed and became the very objects they depict? They would flood our living spaces with landscapes, selfies, cats, vehicles, and meals scattered as far as the eye can see.<br>\r\n<br>\r\nEvery day, we produce images, messages, and data that we store on servers and in the cloud. But what becomes of this digital output?<br>\r\n<em>White Shadow</em> is a series of photographs created by <a href=\"http://collectif-fact.ch/\">collectif_fact</a> (Annelore Schneider and Claude Piguet). It was produced using photogrammetry, a technology that transforms photographs into 3D models. The images are generated from data sourced from online libraries. The result is a dizzying architecture so pervasive that it erects barriers and isolates individuals from one another. A society is emerging, grappling with media saturation, sensory overload, and a crushing ecological impact. A world is emerging where images have taken over, colonizing and transforming space until they become the only reality still visible.<br>\r\nThis narrative is a metaphor that prompts reflection on our responsibility regarding our daily digital output and its consequences for the environment.<br>\r\n<br>\r\n<a href=\"http://collectif-fact.ch/\">collectif_fact</a><br>\r\ncollectif_fact, founded by Annelore Schneider (1979, Neuchâtel) and Claude Piguet (1977, Neuchâtel), explores the economics of the contemporary image through video and photography, drawing on speculative narratives and fiction. Their works have been exhibited at institutions such as the Maison européenne de la photographie (Paris), the Centre d’art contemporain (Geneva), the Swiss Cultural Center (Paris), the Hiroshima Museum of Contemporary Art, the Lianzhou Foto Festival, the Metropolis Art Center (Beijing), and the Fotomuseum Winterthur. They recently received the Landis & Gyr residency in London, the New Point of View Award from This is Short (European Short Film Network), and the Best Short Film Award at the International Festival of Films on Art (FIFA). They are represented by Galerie Wilde in Geneva.<br>\r\n<br>\r\nTheir works—videos, photographs, and installations—are part of the following collections: the City of Paris Municipal Contemporary Art Fund, Haus der Elektronischen Künste, Basel; the Lyon Museum of Contemporary Art; the Federal Office of Culture, Bern; the Fotomuseum Winterthur; the Neuchâtel Museum of Art and History; La Chaux-de-Fonds Museum of Fine Arts, Geneva Municipal Contemporary Art Collection, Geneva Cantonal Contemporary Art Collection, Museum of Communication, Bern, Visual Arts Collection, City of Biel, and Sion Art Museum.<br>\r\n<br>\r\n<a href=\"http://collectif-fact.ch/\">> Collectif-Fact website</a><br>\r\n \r\n<figure class=\"image\"><a href=\"https://www.epfl.ch/campus/art-culture/fr/les-culturelles/les-culturelles-dautomne-2026/\"><img alt=\"Programme complet des Culturelles\" height=\"182\" src=\"https://www.epfl.ch/campus/art-culture/wp-content/uploads/2026/09/LES_CULTURELLES_1920x1080_programme_complet.png\" width=\"600\"></a>\r\n<figcaption>© 2026 EPFL, Laura Persat</figcaption>\r\n</figure>\r\n</div>", "image_description": "", "creation_date": "2026-09-03T17:54:09", "last_modification_date": "2026-09-07T14:13:26", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "Hall du Rolex Learning Center", "url_place_and_room": "https://plan.epfl.ch/?room==RLC%20G1%2094.12", "url_online_room": "", "spoken_languages": [], "speaker": "<a href=\"https://collectif-fact.ch/\">collectif_fact</a> (Annelore Schneider et Claude Piguet)", "organizer": "<a href=\"https://www.epfl.ch/campus/art-culture/fr/les-culturelles/\">Festival Les Culturelles</a> (Pôle Culture VPI)", "contact": "<a href=\"https://people.epfl.ch/veronique.mauron\">Véronique Mauron Layaz</a>", "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": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121707/", "category": { "id": 5, "code": "EXPO", "fr_label": "Expositions", "en_label": "Exhibitions", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/2/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/21/?format=api", "https://memento.epfl.ch/api/v1/mementos/22/?format=api", "https://memento.epfl.ch/api/v1/mementos/145/?format=api" ] }, { "id": 70957, "title": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations", "slug": "from-data-to-dynamics-machine-learning-in-statis-2", "event_url": "https://memento.epfl.ch/event/from-data-to-dynamics-machine-learning-in-statis-2", "visual_url": "https://memento.epfl.ch/image/32346/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32346/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32346/max-size.jpg", "lang": "en", "start_date": "2026-10-14", "end_date": "2026-10-16", "start_time": null, "end_time": null, "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487\">https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any). However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\nSince its introduction in the 1970s, molecular dynamics (MD) has become an indispensable computational microscope for studying complex biological systems at atomic resolution. It has enabled detailed investigations into protein folding, conformational dynamics, and ligand binding and unbinding. Over the past decade, increasing computational power has made microsecond-scale simulations routine, producing massive datasets that demand sophisticated analysis strategies [1]. Despite these advances, conventional MD simulations still face a fundamental limitation: many biologically relevant events occur over milliseconds to seconds—timescales largely inaccessible to standard MD.<br>\r\nTo bridge this gap, researchers increasingly turn to enhanced sampling techniques—such as metadynamics and umbrella sampling [2,3]—and coarse-grained (CG) modeling approaches [4]. These methods enable more comprehensive exploration of the system’s free energy landscape, yet their success critically depends on the selection of appropriate reaction coordinates or collective variables (CVs). CVs must capture the slowest, most functionally relevant motions to accurately reflect thermodynamic and kinetic behavior. However, identifying suitable CVs remains one of the field’s most challenging tasks, typically requiring domain expertise and iterative refinement [5, 6].<br>\r\nThis complexity has fueled growing interest in machine learning (ML) techniques, which are now transforming how MD simulations are analyzed, interpreted, and even conducted. ML methods have been applied to automate CV discovery, perform dimensionality reduction, build thermodynamic and kinetic models, and enhance sampling efficiency [7]. These models often employ artificial neural networks or graph neural networks to map high-dimensional molecular configurations—such as Cartesian coordinates or molecular descriptors—into low-dimensional representations suitable for analysis [8].<br>\r\nDepending on the structure and type of data, ML algorithms can be broadly categorized into supervised, unsupervised, and reinforcement learning paradigms [9]. Supervised learning uses labeled input-output pairs to predict properties such as molecular energies or binding affinities [10], while unsupervised learning enables the identification of latent features, such as CVs, directly from data [11].<br>\r\nA cornerstone of modern ML-driven simulation is the development of symmetry-aware molecular representations. The predictive power of ML models hinges on encoding physical symmetries—like rotation and translation—directly into the model. E(3)-equivariant neural networks have emerged as powerful tools for this purpose, significantly improving data efficiency and generalization in learning potential energy surfaces [12]. Ongoing research continues to explore the optimal balance between enforcing strict symmetry and retaining model flexibility.<br>\r\nMeanwhile, breakthroughs in structural prediction—most notably the advent of AlphaFold 3—have revolutionized how researchers obtain initial molecular configurations. AlphaFold now provides remarkably accurate models of not only proteins but also their complexes with nucleic acids, ions, and small-molecule ligands [13]. However, these are static snapshots. They cannot capture dynamic behaviors, allosteric transitions, or binding kinetics—areas where physics-based simulations remain indispensable. Initial benchmarks suggest that even state-of-the-art predictors still fall short in modeling protein dynamics and ranking ligand binding affinities, further emphasizing the role of MD [14].<br>\r\nTo address the dimensionality and sampling bottlenecks, unsupervised ML approaches such as time-lagged autoencoders have reframed CV identification as a data-driven task. More recently, generative models—including diffusion models and variational autoencoders—have emerged as a new frontier. These models can learn the full conformational landscape of biomolecules and enable enhanced sampling, in some cases eliminating the need for predefined CVs altogether [15].<br>\r\nOnce accurate structural models and CVs are established, ML can significantly improve the estimation of thermodynamic and kinetic properties. In drug discovery, for instance, predicting protein–ligand binding affinity remains a central challenge. ML potentials trained on quantum mechanical data can be combined with enhanced sampling to yield highly accurate free energy landscapes and binding kinetics—results previously unattainable due to computational limitations [16]. However, challenges in data quality, model interpretability, and transferability remain critical areas of ongoing investigation [17].<br>\r\nFinally, ML is driving a renaissance in CG modeling. Deep neural networks can now learn many-body CG potentials directly from all-atom simulations, capturing emergent properties and enhancing transferability [18]. These models open the door to longer, larger-scale simulations with greater physical accuracy.<br>\r\nIn this rapidly evolving context, it becomes imperative to critically assess both the promise and limitations of ML in biomolecular simulation. The excitement surrounding these developments must be tempered by careful validation and benchmarking. This workshop thus serves as a timely opportunity—especially for early-career researchers—to explore these cutting-edge methods, engage in constructive dialogue, and chart new directions in the application of machine learning to molecular dynamics and drug discovery.<br>\r\n <br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.98.146401\" target=\"_blank\">[1] J. Behler, M. Parrinello, Phys. Rev. Lett., <strong>98</strong>, 146401 (2007)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2024.102972\" target=\"_blank\">[2] P. Sahrmann, G. Voth, Current Opinion in Structural Biology, <strong>90</strong>, 102972 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jcim.2c01127\" target=\"_blank\">[3] K. Kříž, L. Schmidt, A. Andersson, M. Walz, D. van der Spoel, J. Chem. Inf. Model., <strong>63</strong>, 412-431 (2023)</a><br>\r\n<a href=\"https://doi.org/10.3389/fmolb.2022.899805\" target=\"_blank\">[4] K. Ahmad, A. Rizzi, R. Capelli, D. Mandelli, W. Lyu, P. Carloni, Front. Mol. Biosci., <strong>9</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-083122-125941\" target=\"_blank\">[5] S. Mehdi, Z. Smith, L. Herron, Z. Zou, P. Tiwary, Annual Review of Physical Chemistry, <strong>75</strong>, 347-370 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1101/2025.04.07.647682\" target=\"_blank\">[6] H. Zheng, H. Lin, A. Alade, J. Chen, E. Monroy, M. Zhang, J. Wang, AlphaFold3 in Drug Discovery: A Comprehensive Assessment of Capabilities, Limitations, and Applications, 2025</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-024-07487-w\" target=\"_blank\">[7] J. Abramson, J. Adler, J. Dunger, R. Evans, T. Green, A. Pritzel, O. Ronneberger, L. Willmore, A. Ballard, J. Bambrick, S. Bodenstein, D. Evans, C. Hung, M. O’Neill, D. Reiman, K. Tunyasuvunakool, Z. Wu, A. Žemgulytė, E. Arvaniti, C. Beattie, O. Bertolli, A. Bridgland, A. Cherepanov, M. Congreve, A. Cowen-Rivers, A. Cowie, M. Figurnov, F. Fuchs, H. Gladman, R. Jain, Y. Khan, C. Low, K. Perlin, A. Potapenko, P. Savy, S. Singh, A. Stecula, A. Thillaisundaram, C. Tong, S. Yakneen, E. Zhong, M. Zielinski, A. Žídek, V. Bapst, P. Kohli, M. Jaderberg, D. Hassabis, J. Jumper, Nature, <strong>630</strong>, 493-500 (2024)</a><br>\r\n[8] Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling, NIPS'20: Proceedings of the 34th International Conference on Neural Information Processing Systems, Article No.: 166, Pages 1970 - 1981 (2020)<br>\r\n<a href=\"https://doi.org/10.1080/00268976.2020.1737742\" target=\"_blank\">[9] H. Sidky, W. Chen, A. Ferguson, Molecular Physics, <strong>118</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2019.12.016\" target=\"_blank\">[10] Y. Wang, J. Lamim Ribeiro, P. Tiwary, Current Opinion in Structural Biology, <strong>61</strong>, 139-145 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-018-0337-2\" target=\"_blank\">[11] K. Butler, D. Davies, H. Cartwright, O. Isayev, A. Walsh, Nature, <strong>559</strong>, 547-555 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-042018-052331\" target=\"_blank\">[12] F. Noé, A. Tkatchenko, K. Müller, C. Clementi, Annu. Rev. Phys. Chem., <strong>71</strong>, 361-390 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1080/23746149.2021.2006080\" target=\"_blank\">[13] S. Kaptan, I. Vattulainen, Advances in Physics: X, <strong>7</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1002/wcms.1455\" target=\"_blank\">[14] V. Limongelli, WIREs. Comput. Mol. Sci., <strong>10</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.chemrev.0c01195\" target=\"_blank\">[15] A. Glielmo, B. Husic, A. Rodriguez, C. Clementi, F. Noé, A. Laio, Chem. Rev., <strong>121</strong>, 9722-9758 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2018.11.005\" target=\"_blank\">[16] A. Pak, G. Voth, Current Opinion in Structural Biology, <strong>52</strong>, 119-126 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1021/jacs.6b05602\" target=\"_blank\">[17] M. Lelimousin, V. Limongelli, M. Sansom, J. Am. Chem. Soc., <strong>138</strong>, 10611-10622 (2016)</a><br>\r\n<a href=\"https://doi.org/10.3390/e16010163\" target=\"_blank\">[18] C. Abrams, G. Bussi, Entropy, <strong>16</strong>, 163-199 (2013)</a>\r\n</p><div class=\"active tab-pane\"> </div>", "image_description": "", "creation_date": "2026-01-26T16:07:22", "last_modification_date": "2026-01-26T16:45:31", "link_label": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations", "link_url": "https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487", "canceled": "False", "cancel_reason": "", "place_and_room": "Aula Magna, USI Lugano", "url_place_and_room": "https://www.desk.usi.ch/en/lugano-campus-map-access-facilities", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Daniele Angioletti, </strong>Università della Svizzera Italiana (USI) ; <strong>Vincenzo Maria D'Amore, </strong>University of Naples \"Federico II\" ; <strong>Marco De Vivo, </strong>Istituto Italiano di Tecnologia ; <strong>Francesco Saverio Di Leva, </strong>University of Naples Federico II ; <strong>Vittorio Limongelli, </strong>Università della Svizzera Italiana USI Lugano ; <strong>Gregory Voth, </strong>University of Chicago", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119454/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 72754, "title": "Exploring the ∞-categorical semantics of homotopy type theory", "slug": "exploring-the-categorical-semantics-of-homotopy--2", "event_url": "https://memento.epfl.ch/event/exploring-the-categorical-semantics-of-homotopy--2", "visual_url": "https://memento.epfl.ch/image/33968/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33968/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33968/max-size.jpg", "lang": "en", "start_date": "2026-10-15", "end_date": "2026-10-15", "start_time": "10:00:00", "end_time": "11:00:00", "description": "<p>This talk is meant to give an overview of the semantics of HoTT in (∞,1)-categories, tackling the key challenge of rigidification: the process of bridging homotopy-coherent notions phrased in models of higher categories such as quasicategories, and their type-theoretical counterparts that must account for the inherent strictness of type theory.<br>\r\nAfter quickly recalling the usual categorical semantics of extensional Martin-Löf type theory within locally cartesian closed category, the plan is to present some useful ideas to carry over some of the argument to the higher setting. Specifically, I will discuss the process of turning an elementary higher topos into a model of HoTT, and sketch important ideas used to prove the internal language conjecture for locally cartesian closed (∞,1)-categories.<br>\r\n<br>\r\n </p>", "image_description": "", "creation_date": "2026-10-02T13:54:27", "last_modification_date": "2026-10-02T13:54:47", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "CM 1 517", "url_place_and_room": "https://plan.epfl.ch/?room==CM%201%20517", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "El Mehdi Cherradi, IRIF", "organizer": "Virgile Constantin", "contact": "Maroussia Schaffner", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122047/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/7/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api" ] }, { "id": 72646, "title": "AI Center x Sony AI Impact Talk Mireille El Gheche - Learning to Play at Human Speed: From Simulation to Expert-Level Robot Table Tennis", "slug": "ai-center-x-sony-ai-impact-talk-mireille-el-ghec-2", "event_url": "https://memento.epfl.ch/event/ai-center-x-sony-ai-impact-talk-mireille-el-ghec-2", "visual_url": "https://memento.epfl.ch/image/33898/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33898/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33898/max-size.jpg", "lang": "en", "start_date": "2026-10-15", "end_date": "2026-10-15", "start_time": "10:15:00", "end_time": "11:15:00", "description": "<em><strong>Registration with an EPFL email is required: <a href=\"https://forms.cloud.microsoft/e/HbwUm7bFrd\">HERE</a>.</strong></em><br>\r\n<br>\r\n<u><strong>! This event is restricted to the EPFL community !</strong></u><br>\r\n<br>\r\n<strong>Title</strong><br>\r\nLearning to Play at Human Speed: From Simulation to Expert-Level Robot Table Tennis<br>\r\n<br>\r\n<strong>Abstract</strong><br>\r\nWhat does it take for a robot to compete with a human in one of the fastest and most dynamic sports?<br>\r\nTable tennis compresses many of the fundamental challenges of physical AI into just a few hundred milliseconds. The robot must perceive a ball travelling at high speed, estimate its position and spin, predict its trajectory, decide how to respond, and execute a precise motion, all while interacting with an intelligent and unpredictable opponent.<br>\r\nIn this talk, I will present Project ACE, an autonomous table tennis robot developed at Sony AI that progressed from learning basic racket skills to competing with elite human players. I will discuss the complete system behind this progression: high-speed visual perception, reinforcement learning, simulation, robot control, and the iterative sim-to-real process that enabled policies trained in simulation to perform on a real robot. Beyond table tennis, ACE provides a case study in what it takes to move from impressive robotic demonstrations to robust physical intelligence. I will share some of the lessons we learned about combining learning with control, using real-world failures to improve simulation, and designing AI systems that can adapt and act under the speed, uncertainty, and constraints of the physical world.<br>\r\n<br>\r\n<strong>Bio</strong><br>\r\nMireille El Gheche is a Lead Research Scientist at SoftBank Robotics, working at the intersection of artificial intelligence and robotics. Her expertise spans reinforcement learning, computer vision and perception, simulation, optimization, and real-world robotic systems, with a strong focus on translating research advances into robust physical systems.<br>\r\nPrior to joining SoftBank Robotics, Mireille was a Staff Research Scientist at Sony AI in Zurich, where she led research on Project ACE, an autonomous table tennis robot developed to compete with elite and professional human players. Before joining Sony AI, Mireille conducted academic research at EPFL and the University of Bordeaux, working across computer vision, and applied AI, including applications in medical AI. Her broader research interests lie in physical AI and intelligent robotic systems that can perceive, learn, adapt, and act in complex real-world environments.<br>\r\n ", "image_description": "", "creation_date": "2026-09-23T10:33:38", "last_modification_date": "2026-10-05T11:59:06", "link_label": "Registration required", "link_url": "https://forms.cloud.microsoft/e/HbwUm7bFrd", "canceled": "False", "cancel_reason": "", "place_and_room": "SG 0213", "url_place_and_room": "https://plan.epfl.ch/?room==SG%200213", "url_online_room": "https://epfl.zoom.us/j/63790840787?pwd=OHuE2cuqmmbEZ5yeZiGhkDpQpZqjLx.1", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Dr. Mireille El Gheche", "organizer": "EPFL AI Center", "contact": "<a href=\"mailto:[email protected]\">Nicolas Machado</a>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "AI, Robotics", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121895/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/416/?format=api", "https://memento.epfl.ch/api/v1/mementos/417/?format=api" ] }, { "id": 72610, "title": "Meet the TTO - October 2026", "slug": "meet-the-tto-october-2026", "event_url": "https://memento.epfl.ch/event/meet-the-tto-october-2026", "visual_url": "https://memento.epfl.ch/image/33855/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33855/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33855/max-size.jpg", "lang": "en", "start_date": "2026-10-15", "end_date": "2026-10-15", "start_time": "11:30:00", "end_time": "12:15:00", "description": "<strong>A monthly gathering with the Technology Transfer Office team in a relaxed and informal setting.</strong><br>\r\n<br>\r\nConnect with the team to explore intellectual property, strategies for creating commercial value from your academic work, and technology transfer practices.<br>\r\n<br>\r\nDiscussions may cover\r\n<ul>\r\n\t<li>the inventive aspects of your research,</li>\r\n\t<li>patenting and commercial potential,</li>\r\n\t<li>software and AI/ML use,</li>\r\n\t<li>training data,</li>\r\n\t<li>and licensing terms for startups and companies.</li>\r\n</ul>\r\n<strong>Access:</strong> Open to the EPFL community (startup excluded)<br>\r\n<br>\r\n<strong>Upcoming dates</strong>: 12 November, and 10 December 2026", "image_description": "", "creation_date": "2026-09-17T14:35:33", "last_modification_date": "2026-09-17T15:07:31", "link_label": "webpage", "link_url": "https://www.epfl.ch/research/technology-transfer/explore-ask-learn-with-your-tto/", "canceled": "False", "cancel_reason": "", "place_and_room": "KNOVA, Building J, 2nd floor, EPFL Innovation Park", "url_place_and_room": "https://plan.epfl.ch/?room==QIJ%202%20138", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"https://www.epfl.ch/research/technology-transfer/\">EPFL TTO</a>", "contact": "<a href=\"mailto:[email protected]\">Bea Arnold</a> & <a href=\"mailto:[email protected]\">Lucia Pavan</a>", "is_internal": "True", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "intellectual property; IP; commercial value; technology transfer", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121846/", "category": { "id": 15, "code": "FORM", "fr_label": "Formations internes", "en_label": "Internal trainings", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/119/?format=api" ] }, { "id": 72520, "title": "Pétrichor - Sculptures", "slug": "petrichor-sculptures-2", "event_url": "https://memento.epfl.ch/event/petrichor-sculptures-2", "visual_url": "https://memento.epfl.ch/image/33776/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33776/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33776/max-size.jpg", "lang": "en", "start_date": "2026-10-15", "end_date": "2026-10-15", "start_time": "12:00:00", "end_time": "13:00:00", "description": "<strong>Opening: Thursday, October 15, at 12:00 p.m.<br>\r\nExhibition on view through December 10, 2026<br>\r\n<br>\r\nBy and in collaboration with the AAIE </strong>(Association of Artist-Engineers at EPFL)<br>\r\n<br>\r\nRain is essential to the cycle of life, and we sometimes forget how important it is. The Petrichor installation aims to restore rain’s central role and encourage reflection on its presence. <br>\r\n<br>\r\nThe installation consists of two parts:<br>\r\n \r\n<ul>\r\n\t<li><strong>A 1-square-meter funnel </strong>that collects rainwater while amplifying its sound. The funnel is modeled after a flower—the bromeliad—which naturally collects rainwater. The water is then channeled into the second part of the installation.<br>\r\n\t.</li>\r\n\t<li><strong>A wooden cabinet containing 63 plastic containers, each holding 5 liters.</strong> All the containers are connected to one another by a system of pipes; the rainwater fills the containers from the bottom up. The 10 containers at the bottom of the cabinet are marked in blue; this corresponds to the minimum daily water intake for one person, as defined by the WHO, which is 50 liters. The containers above them—totaling 265 liters—represent the average water consumption of a person in Switzerland, as reported by the Federal Statistical Office. This cabinet highlights the contrast between these two volumes. By relating these figures to the collected rainwater, the installation demonstrates that water remains a limited resource and is therefore a major challenge for the world today and in the future.</li>\r\n</ul>\r\n\r\n<div class=\"BCX2 Ltr OutlineElement SCXW43647999\">The installation has aesthetic and auditory elements designed to enliven the campus and demonstrate a commitment to sustainability. Its goal is to encourage students to reflect on water usage and spark new ideas for managing this resource.<br>\r\n<br>\r\nLaunched in 2025, Petrichor is a project developed by the <strong>AAIE (Association of Artist-Engineers at EPFL),</strong> which aims to build a community around contemporary art on campus by organizing meetings with artists and museum outings. The association also provides students with opportunities to develop their own artistic creations.<br>\r\n<br>\r\nThis project received support from the Pôle Culture (VPI) as part of a <strong><a href=\"http://www.epfl.ch/campus/art-culture/fr/bourses-pour-projets-artistiques/\">competition</a></strong> held twice a year for student associations involved in campus culture.<br>\r\n \r\n<figure class=\"image\"><a href=\"https://www.epfl.ch/campus/art-culture/fr/les-culturelles/les-culturelles-dautomne-2026/\"><img alt=\"Programme complet des Culturelles\" height=\"182\" src=\"https://www.epfl.ch/campus/art-culture/wp-content/uploads/2026/09/LES_CULTURELLES_1920x1080_programme_complet.png\" width=\"600\"></a>\r\n\r\n<figcaption>© 2026 EPFL, Laura Persat</figcaption>\r\n</figure>\r\n</div>", "image_description": "", "creation_date": "2026-09-03T18:08:50", "last_modification_date": "2026-09-23T16:49:40", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "La Diagonale (en face du bâtiment MX)", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "<strong>AAIE</strong> (Association des Artistes Ingénieurs de l’EPFL)", "organizer": "<a href=\"https://www.epfl.ch/campus/art-culture/fr/les-culturelles/\">Festival Les Culturelles</a> (Pôle Culture VPI)", "contact": "<a href=\"https://people.epfl.ch/veronique.mauron\">Véronique Mauron Layaz</a>", "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": "installation, ressources, durabilité", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121709/", "category": { "id": 5, "code": "EXPO", "fr_label": "Expositions", "en_label": "Exhibitions", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/2/?format=api", "https://memento.epfl.ch/api/v1/mementos/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/10/?format=api", "https://memento.epfl.ch/api/v1/mementos/21/?format=api", "https://memento.epfl.ch/api/v1/mementos/22/?format=api", "https://memento.epfl.ch/api/v1/mementos/79/?format=api", "https://memento.epfl.ch/api/v1/mementos/145/?format=api" ] }, { "id": 72373, "title": "Lysosomes at the nexus of cellular quality control and metabolism", "slug": "lysosomes-at-the-nexus-of-cellular-quality-control", "event_url": "https://memento.epfl.ch/event/lysosomes-at-the-nexus-of-cellular-quality-control", "visual_url": "https://memento.epfl.ch/image/33629/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33629/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33629/max-size.jpg", "lang": "en", "start_date": "2026-10-15", "end_date": "2026-10-15", "start_time": "16:00:00", "end_time": "17:00:00", "description": "<p>Lysosomes sit at the crossroads of cellular catabolism and quality control, where they must dismantle chemically diverse cargo while preserving their own integrity. I will discuss two discoveries that reveal how lysosomes solve these complementary challenges and how their failure creates disease vulnerabilities. First, I will describe Lysosomal Leucine Aminopeptidase (LyLAP), an enzyme specialized to processively degrade the hydrophobic α-helices of transmembrane proteins. LyLAP is highly expressed in pancreatic ductal adenocarcinoma, where its loss causes hydrophobic peptides to accumulate, compromises lysosomal function, and ultimately leads to cancer cell death, revealing a potential vulnerability in tumors with elevated endocytic activity. I will then describe LASER, a damage-responsive protein assembly that couples lysosomal membrane injury to repair. At its core, the oligomeric protein TFG recognizes LC3/GABARAP proteins conjugated to damaged lysosomes and recruits the ESCRT machinery to restore membrane integrity. Neurodegenerative disease-associated mutations in TFG disrupt this process, linking defective lysosomal repair to human disease. Together, these findings reveal lysosomes as dynamic systems that coordinate cargo degradation with membrane surveillance and repair to maintain cellular homeostasis. <br>\r\n<br>\r\nMore about Dr. Aakriti Jain's lab at UTSW: <a href=\"https://aakritijainlab.com/\">https://aakritijainlab.com/</a></p>", "image_description": "Dr. Aakriti Jain", "creation_date": "2026-08-19T11:24:24", "last_modification_date": "2026-09-21T16:54:33", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "https://epfl.zoom.us/j/7467019292", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Dr. Aakriti Jain, UTSW", "organizer": "Dr. Juan Manuel García-Arcos", "contact": "Dr. Juan Manuel García-Arcos, [email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "ESCRT, Lysosomal repair, organelle dynamics, Lysosomal Leucine Aminopeptidase, transmembrane protein degradation", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121477/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api" ] }, { "id": 72507, "title": "Development of Aptamer-Functionalized Graphene Devices for Biosensing of Stress Biomarkers", "slug": "development-of-aptamer-functionalized-graphene-d-2", "event_url": "https://memento.epfl.ch/event/development-of-aptamer-functionalized-graphene-d-2", "visual_url": "https://memento.epfl.ch/image/33753/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33753/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33753/max-size.jpg", "lang": "en", "start_date": "2026-10-15", "end_date": "2026-10-15", "start_time": "17:30:00", "end_time": null, "description": "<p>Thesis Director: Prof. M. A. Ionescu,<br>\r\nMicrosystems and Microelectronics doctoral program<br>\r\nThesis Nr. 11204<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-09-03T14:15:33", "last_modification_date": "2026-09-28T11:11:39", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "ELA 1", "url_place_and_room": "https://plan.epfl.ch/?room==ELA%201", "url_online_room": "", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>Ali GILANI</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>Ali GILANI</strong></a>", "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": "EDMI", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121684/", "category": { "id": 12, "code": "SOUTE", "fr_label": "Soutenances de thèses", "en_label": "Thesis defenses", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api" ] } ] }
