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This one-day symposium examines learned predictive models that support simulation, planning and policy learning. It connects generative and interactive video, latent predictive architectures, three- and four-dimensional scene representations, reinforcement learning and model-predictive control. Invited talks and contributed presentations address applications to games, robot manipulation and autonomous driving, together with the foundations and evaluation of world models. Speakers include Amir Bar, Viorica Pătrăucean, Katja Hofmann, Vassia Simaiaki, Niloy Mitra, Andrea Vedaldi and Amir Ghalamza

Wed, Nov 18, 2026

Conference · Artificial Intelligence

…quality control, diagnostics, testing, simulation and digital tools. Projects must request £70,000 to £500,000, last 6 to 18 months, start no earlier than 1 May 2027 and finish by 31 March 2031. The competition closes on 2 December 2026 at 11:00am UK ti

Closes

Grant · Electrochemistry

…foundations of data science, including simulation, inference, optimization, randomized numerical methods or scalable high-dimensional algorithms. The role combines independent funded research with teaching and service. A relevant PhD and research and teaching excellence are required. Salary: CAD 140,000–190,000 annually. Submit a cover letter, CV, research statement, teaching dossier and three reference letters through AcademicJobsOnline by December 7, 2026. Appli

Closes

Job · Data Science

Study molecular reaction chemistry in aqueous and organic media using simulation, statistical mechanics and machine learning. The Chemical Dynamics Group seeks scalable computational workflows, coordinated with spectroscopy experiments, to understand structure, thermodynamics and reaction dynamics. Applications are made on the employer’s recruitment portal; no closing date is stated. Initial appointment up to 24 months, with extensions dependent on performance and funding.

Job · Computational Chemistry

Brian2CUDA: Generating Efficient CUDA Code for Spiking Neural Networks

Denis Alevi · Berlin Institute of Technology (

Graphics processing units (GPUs) are widely available and have been used with great success to accelerate scientific computing in the last decade. These advances, however, are often not available to researchers interested in simulating spiking neural networks, but lacking the technical knowledge to write the necessary low-level code. Writing low-level code is not necessary when using the popular Brian simulator, which provides a framework to generate efficient CPU code from high-level model definitions in Python. Here, we present Brian2CUDA, an open-source software that extends the Brian simul

Thu, Nov 3, 2022 · 15:00 UTC

Seminar · Computational Neuroscience