This post contains a list of the AI-related seminars that are scheduled to take place between 2 April and 31 May 2026. All events detailed here are free and open for anyone to attend virtually. What Do Our Benchmarks Actually Measure? Vukosi Marivate (University of Pretoria) University of Michigan Zoom link is here . Optimization Over Trained Neural Networks: What, Why, and How? Thiago Serra Azevedo Silva (University of Iowa) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list .

This post contains a list of the AI-related seminars that are scheduled to take place between 2 March and 30 April 2026. All events detailed here are free and open for anyone to attend virtually. Farnaz Farzadnia, Sebastian Merten, Francesca Da Ros Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Keyon Vafa (Harvard University) EPFL The Zoom link is here . Javier M. Moguerza (Research Centre for Intelligent Information Technologies) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list .

ImageNet++, no toxic images were found, indicating that the dataset's captions are safe.

This post contains a list of the AI-related seminars that are scheduled to take place between 4 February and 31 March 2026. All events detailed here are free and open for anyone to attend virtually. Carolina Osorio (Google Research and HEC Montreal) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Sashank Varma (Georgia Tech) University of Minnesota Zoom registration is here . Vicky Kalogeiton (École Polytechnique) AIDA Zoom link is here .

This post contains a list of the AI-related seminars that are scheduled to take place between 5 January and 28 February 2026. All events detailed here are free and open for anyone to attend virtually. Fiona Spuler (University of Reading) ECMWF Teams link is here . Iyad Rahwan (Max Planck Institute for Human Development) The Digital Humanism (DIGHUM) Initiative The talk will be livestreamed on YouTube here . Christopher O'Reilly (University of Reading) ECMWF Teams link is here .

This post contains a list of the AI-related seminars that are scheduled to take place between 1 December 2025 and 31 January 2026. All events detailed here are free and open for anyone to attend virtually. Dick den Hertog (University of Amsterdam) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Annabelle Gawer The Digital Humanism (DIGHUM) Initiative The talk will be livestreamed on YouTube here . Jesús Moreno-León (University of Seville) Raspberry PI Sign up here to join.

This post contains a list of the AI-related seminars that are scheduled to take place between 3 November and 31 December 2025. All events detailed here are free and open for anyone to attend virtually. Agni Orfanoudaki (University of Oxford) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Nicholas Barbara (University of Sydney) EPFL Zoom link is here . Jose Carrillo (University of Oxford) University of Minnesota Zoom registration is here .

ImageNet++, no toxic images were found, indicating that the dataset's captions are safe.

This post contains a list of the AI-related seminars that are scheduled to take place between 3 October and 30 November 2025. All events detailed here are free and open for anyone to attend virtually. Daniel Kuhn (EPFL) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list . Chia-Lin Wei (University of Washington) University of Michigan Medical School The seminar will be live-streamed on the DCMB YouTube Channel . Jannis Kurtz (University of Amsterdam) Association of European Operational Research Societies To receive the seminar link, sign up to the mailing list .

Generative AI, especially through large language models (LLMs), is transforming how technical knowledge can be accessed, reused, and extended. PETSc, a widely used numerical library for high-performance scientific computing, has accumulated a rich but fragmented knowledge base over its three decades of development, spanning source code, documentation, mailing lists, GitLab issues, Discord conversations, technical papers, and more. Much of this knowledge remains informal and inaccessible to users and new developers. To activate and utilize this knowledge base more effectively, the PETSc team has begun building an LLM-powered system that combines PETSc content with custom LLM tools -- including retrieval-augmented generation (RAG), reranking algorithms, and chatbots -- to assist users, support developers, and propose updates to formal documentation. This paper presents initial experiences designing and evaluating these tools, focusing on system architecture, using RAG and reranking for PETSc-specific information, evaluation methodologies for various LLMs and embedding models, and user interface design. Leveraging the Argonne Leadership Computing Facility resources, we analyze how LLM responses can enhance the development and use of numerical software, with an initial focus on scalable Krylov solvers. Our goal is to establish an extensible framework for knowledge-centered AI in scientific software, enabling scalable support, enriched documentation, and enhanced workflows for research and development. We conclude by outlining directions for expanding this system into a robust, evolving platform that advances software ecosystems to accelerate scientific discovery.