Computational Mathematics workshops

This RICAM workshop examines the numerical foundations of reliable deep-learning computation. Low-precision and mixed-precision arithmetic, quantization and parallel GPU computation enable larger models and deployment on constrained devices, while introducing questions about error, stability and performance. Researchers from theoretical and applied communities will compare methods for stable training and efficient inference and identify directions for further work. The programme brings together expertise in numerical analysis, machine learning and hardware-aware computation. The in-person workshop runs on 2–6 November at RICAM, Science Park 2, fourth floor, Altenberger Straße 69, Linz. Monday registration and welcome run 14:00–14:40, followed by talks until 17:00. Tuesday through Friday sessions begin at 09:00; Friday’s programme ends at 11:40. Times are Europe/Vienna, CET (UTC+01:00). Register through the special-semester form, select Workshop 2 and Regular Participant, and use an institutional email address to verify affiliation. Registration is binding; the organizer asks for cancellation at least one week before the workshop and states that unreported non-attendance can exclude participants from future events.

The second M4H workshop brings mathematics, data science and medical research together to improve care. Mathematical models, numerical methods, statistics and machine learning support precision medicine, healthcare-resource allocation and multimodal patient-data analysis. Keynotes examine evolutionary cancer treatment and model-driven digital twins, longitudinal health records, topology and geometry for cyclic gene expression, statistical approaches to individual mental-health variation and patient-specific blood-flow simulation. Panels connect these methods with cardiovascular medicine, health data science and sustainable brain health. The Department of Mathematics at Politecnico di Milano hosts the in-person workshop on 11–13 November 2026 in Aula Rogers, Building 11, Via Ampère 2, Milan. Posters use Aula Vetrata, Trifoglio Building 13, Via Bonardi 9. The programme runs 11 November 14:00–19:30, 12 November 09:00–18:10 and 13 November 09:00–16:00. Times are Europe/Rome, CET (UTC+01:00). Registration is free and open until 15 October through the form on the official workshop page. Speaking slots are invitation only; general attendance is open, and participants may submit poster abstracts.

Connect numerical approaches to classical and quantum initial-boundary-value problems. The workshop examines deterministic wave propagation, fluid dynamics and general relativity alongside fluctuating quantum fields and hydrodynamics. Invited perspectives and contributed talks explore shared modelling challenges, including symmetry-preserving and mimetic discretisation, summation-by-parts methods, action-based formulations, lattice field theory, stochastic partial differential equations and quantum computing. Researchers in theoretical physics and applied mathematics will compare methods and identify opportunities for collaboration across these neighbouring fields. 19 November 2026 at 09:00 through 21 November at 17:00, Asia/Seoul (KST, UTC+9). Participant registration closes on 8 November 2026 and requires an Indico account. Capacity is 70. Contributed abstracts are due 25 October.

Topological data analysis captures connectivity, loops and multiscale organization that can be obscured by assuming data occupy ordinary Euclidean space. The workshop connects this mathematical viewpoint with the need for interpretable, robust learning systems. Mathematicians, computer scientists and researchers in chemistry, biology and materials science will examine theory, computational methods and scientific applications. Discussions link mathematical frameworks, efficient algorithms and practical datasets, with the goal of developing reliable, scalable methods and connecting early-career researchers across these communities.

The programme asks how mathematical advances can improve quantum and computational chemistry as computational power, AI and experimental capabilities evolve. Topics include foundations of established chemical methods, new numerical approaches, quantum algorithms, AI and practical applications. Talks and open discussions connect mathematics, chemistry, physics and computer science; dedicated graduate-student and postdoctoral sessions support training. The workshop seeks combined methods relevant to areas such as clean energy, pharmaceuticals and quantum technologies.

This research workshop examines topological descriptors for complex data, including multiparameter and generalized persistence, algorithms, connections with non-Euclidean geometry and knot-theoretic applications. Introductory lectures lead into focused group research, problem sessions and discussion to exchange methods across topology, geometry and computer science. Six group leaders coordinate collaborative projects. The event is organized in partnership with the Clay Mathematics Institute.