Events

AI Unlocked 2026, will bring together the brightest minds from academia, industry, and government to explore the power, promise and purpose of artificial intelligence. This two-day congress, chaired by Dr. Anjulika Salhan, a global expert in AI-driven innovation and founder of Systems Holdings, will be held at the prestigious Hyatt Regency in Birmingham. We invite you to join a dynamic community of AI pioneers shaping the future of machine learning and intelligent systems. World-class speakers from across sectors will share their research, breakthroughs, and real-world applications of AI, ranging from deep learning architectures and causal models to AI in finance, healthcare, governance, and regulation. Key themes include: • The evolving architecture of AI systems: transformers, GNNs, diffusion models • The rise of foundation models, multimodal AI, and explainability • Bridging theory and application: from generalisation and convergence to robust deployment • Policy and ethics: AI governance, regulatory frameworks, and public-private collaboration • What's next? Symbolic reasoning, AI safety, causal AI, and hybrid intelligence

The two-day workshop, divided into two main thematic blocks – Optimization in Machine Learning and Optimization with Fractional Calculus Methods – is primarily designed for PhD students and other interested participants. The sessions will be conducted by invited lecturers, who are recognized experts in these fields. Participation in the workshop is free of charge.

The aim of the meeting is to discuss recent developments, techniques and open questions in the area of abelian varieties and their moduli spaces, modular forms, number theory and combinatorics, automorphic forms.

Spatial structures appear throughout mathematics, connecting topology, combinatorics, and geometry in surprising and beautiful ways, capturing how mathematical objects sit and interact within the spaces around them. This workshop aims to bring together researchers from a range of backgrounds to strengthen the community and to discuss developments in the theory of spatial structures, with a particular focus on topological graph theory, spatial graphs, braids, and periodic tillings.

The thematic scope of the conference includes, among others: • Optimization in Machine Learning • Applications of Fractional Calculus in Optimization Problems These areas reflect the dynamic development of modern optimization methods and their influence on applied mathematics, data science, and engineering. Conference Proceedings The proceedings of GPCO 2026 will be published in one of the following forms: • a monograph • a special issue of Optimization: A Journal of Mathematical Programming and Operations Research • a special issue of the International Journal of Applied Mathematics and Computer Science (AMCS)

The topics of interest of this conference include results and applications in: function approximation; integral and differential operators; linear and nonlinear approximation; numerical analysis; computational methods for differential equations; inverse problems; data-driven numerical methods; numerical filtering algorithms; probability and statistics; statistical computation; stochastic analysis; SDEs; SPDEs; numerical methods for stochastic problems; stochastic optimization, statistical inference for stochastic models. The conference will be held in a hybrid format.

ICINSA-2026: The International Conference on “Innovation in Nonlinear Science and Its Applications” aims to bring together researchers, academicians, scientists, industry professionals, and students from across the globe to discuss recent advances, emerging trends, and innovative applications in the broad field of nonlinear science.

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This Arbeitsgemeinschaft will study localization and delocalization phenomena for discrete random Schrödinger operators and related random matrix and graph models. Our emphasis will be on: • spectral-theoretic criteria for localization (RAGE, spectral types, Green function criteria), • the fractional moment method and high-disorder localization, • random band matrices (localization vs delocalization transition), • multiscale analysis for lattice models, especially Bernoulli distributions, • discrete unique continuation and its role in modern Bernoulli localization proofs, • absolutely continuous spectrum and resonant delocalization on regular trees • random graphs (Erdős–Rényi). As in typical AG format, not all items may be covered; the final selection may depend on participant interest and background. Deadline for application: 1 July 2026

There is an increase of models in fluid dynamics which incorporate new stochastic and relaxation effects. For the stochastic part, this focuses on the well-posedness of PDEs with rough boundary noise. Relaxation effects lead to new models avoiding infinite propagation speed, but also questions global well-posedness known for classical models. The development and analysis of numerical schemes has also been extensively investigated. The seminar aims at reporting on these recent developments, and at discussions among an up-and-coming community. Deadline for application: 12 July 2026