Journée Georges de Rham
Event details
| Date | 03.06.2026 |
| Hour | 15:00 › 17:30 |
| Speaker |
Prof Hong Wang, IHES & NYU Prof Emmanuel Candès, Stanford |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
The 2026 Journée Georges de Rham will take place on Wednesday 03 June 2026 in the Polydôme at EPFL, from 15:00 to 17:30 followed by an apéritif.
Professor Wang will deliver a talk titled “Kakeya sets in R^3″. A Kakeya set is a compact subset of R^n that contains a unit line segment pointing in every direction. Kakeya set conjecture asserts that every Kakeya set has Minkowski and Hausdorff dimension n. We prove this conjecture in R^3 as a consequence of a more general statement about union of tubes. Joint work with Josh Zahl.
Professor Candès will deliver a talk titled “What Statistics and AI Offer Each Other?“, exploring how thinking carefully about AI inputs and outputs yields more powerful, safer AI. By examining several vignettes, we shall answer questions such as: how do we train language models under cost constraints? What happens when we’ve exhausted all available data? If I start a clinical trial using the drug AI thinks is best, will it pan out? How can we ensure high-quality products when AI is used in a larger workflow? That is, how do I know whether AI automated a task correctly? AI powered imputations are beginning to substitute for real data when collection of the latter is difficult, slow, or costly. How then should we leverage machine learning predictions both as a substitute for high-quality data and as a tool for guiding real data collection?
Bernoulli Center for Fundamental Studies
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