AIhub: August-September 2025 Virtual AI/ML Seminars
The coming weeks promise a rich calendar of virtual seminars in machine learning and artificial intelligence, offering unparalleled access to cutting-edge research from leading institutions worldwide. Scheduled from August 19 to September 30, 2025, these events are entirely free and open to a global audience, providing a unique opportunity to engage with the latest advancements and thought leaders in the field.
The series kicks off on August 19 with a presentation from Kieran Didi, a PhD student at Oxford, and Dr. Tomas Geffner of NVIDIA Research. Organized by ML Protein Engineering, their seminar, “La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching,” is set to explore advanced machine learning techniques for protein generation, a vital area in computational biology and drug discovery.
Moving into September, the 9th features a session titled “Somekone – Teaching about AI with an explainable social media simulator,” presented by Henriikka Vartiainen and Matti Tedre from the University of Eastern Finland. Hosted by Raspberry PI, this seminar will delve into innovative educational approaches to AI, focusing on making complex concepts more accessible through practical simulation. Later the same day, the University of Minnesota will host a seminar featuring Oscar Leong from UCLA, with the specific topic to be announced closer to the date.
September 10 sees Gabe Rocklin of Northwestern University presenting a session organized by ML Protein Engineering, with the title yet to be confirmed. The following day, September 11, offers two distinct opportunities. Sarah Alamdari from Microsoft Research will discuss “Multiscale Modeling with Machine Learning Potentials,” a session organized by Chalmers AI4Science, highlighting the application of AI in complex scientific modeling. Concurrently, Georges Le Bellier from the Conservatoire National des Arts et Métiers will deliver a talk organized by the Research Institutes of Sweden (RISE), the title of which is also pending.
The latter half of September continues this diverse program. On September 23, Feng Bao from Florida State University will present a seminar organized by the University of Minnesota, with details on the topic forthcoming. The next day, September 24, Rohit Singh from Duke University is scheduled to speak in a session hosted by ML Protein Engineering, with the title to be confirmed.
Towards the end of the month, September 25 brings two more significant talks. Mackenzie W. Mathis from Harvard University will share insights on “Measuring and modeling neural circuits driving adaptive behavior,” a fascinating exploration of neuroscience and AI, organized by EPFL. Also on the 25th, Sigrid Passano Hellan from NORCE Norwegian Research Centre will present a seminar organized by the Research Institutes of Sweden (RISE), with the topic to be announced. The month concludes on September 30 with Houman Owhadi from Caltech delivering a seminar organized by the University of Minnesota, the title of which is still to be confirmed.
This comprehensive series underscores the rapid advancements and interdisciplinary nature of AI and machine learning research. By offering free, virtual access to such a wide array of expert perspectives and emerging methodologies, these seminars provide an invaluable resource for anyone looking to stay abreast of the field’s dynamic evolution.