- The GPAIS Winter School, organized by the DaSCI Institute and the University of Granada, has brought together since 4 February—and throughout this week—international specialists in artificial intelligence to address the development of general‑purpose AI systems. The program features experts in foundation models, large language models (LLMs), and large vision‑language models (VLMs). All sessions are openly accessible via YouTube.
- This training event for doctoral students is part of the activities of the ENIA IAFER Chair on Ethical, Responsible, and General‑Purpose Artificial Intelligence: Applications in High‑Risk Scenarios, in collaboration with REPSOL.
The University of Granada is hosting the GPAIS Winter School this week, a winter school focused on General‑Purpose AI Systems (GPAIS), organized by the Andalusian Inter‑University Institute in Data Science and Computational Intelligence (DaSCI) and the University of Granada. The event brings together researchers, professionals, and students from around the world interested in the development of general‑purpose AI models capable of performing a wide variety of tasks and adapting to different contexts—from natural language generation to solving complex problems across multiple domains.
Over five days, the scientific program offers a comprehensive exploration of the current AI revolution. The sessions delve into Foundation Models (for language, vision, and tabular data), Zero‑Shot Learning, and the reuse of pretrained models—essential techniques enabling AI systems to perform complex tasks without requiring task‑specific data.
The school also dedicates a core block to the theoretical architecture of these systems, analyzing why Transformers—the engine behind modern language models—work, and exploring advanced mathematical and optimization methods applied to deep learning.
The excellence of this training event is backed by a world‑class faculty panel, positioning Granada at the forefront of AI research. Topics include multimodal models (Anurag Arnab, Google DeepMind) and automated machine learning (AutoML) (Frank Hutter, University of Freiburg), a pioneer in foundation models for tabular data. The academic program is further enriched by researchers from prestigious institutions such as the University of Oxford (José Antonio Carrillo), INRIA in France (Julien Mairal), and leading Asian universities such as Nanjing University (Zhi‑Hua Zhou) and the University of Hong Kong (Rui Zhang and Xingyu Wu), who provide a global perspective on stability, optimization, and future challenges of these systems.
The event combines in‑person sessions in Granada with an open online format, enabling participation from a global community. All talks are being streamed openly on YouTube, making them accessible to anyone interested in the challenges of responsible AI.
The GPAIS Winter School thus consolidates itself as a reference space for knowledge exchange and advanced training in a field that is shaping the future of research, industry, and public policy. Through this initiative, the University of Granada and the DaSCI Institute reinforce their commitment to developing ethical, transparent, and socially beneficial artificial intelligence.
This winter school is part of the project “Ethical, Responsible, and General‑Purpose Artificial Intelligence: Applications in High‑Risk Scenarios (IAFER) Exp.: TSI‑100927‑2023‑1”, funded through the creation of university‑industry chairs (ENIA Chairs) aimed at research and development in artificial intelligence, as well as its dissemination and training, within the framework of the European Recovery, Transformation and Resilience Plan, financed by the European Union–NextGenerationEU through the Ministry for Digital Transformation and Public Administration, in collaboration with the multinational company REPSOL.
The Andalusian Inter‑University Institute in Data Science and Computational Intelligence, known as the DaSCI Institute, is a collaborative entity involving the universities of Granada, Jaén, and Córdoba. It is dedicated to advanced research and training in Artificial Intelligence, with a particular focus on Data Science and Computational Intelligence. The institute brings together a distinguished group of researchers working on joint projects, promoting the development and application of innovative technologies across various sectors. With the goal of becoming a benchmark in its field, DaSCI fosters the transfer of scientific knowledge to the socioeconomic environment, contributing to technological progress and industrial digitalization. https://dasci.es/es/
Contact: Isaac Triguero – triguero@decsai.ugr.es
More information: Event website – https://iafer.dasci.es/gpais-winter-school/ Open online lectures – https://www.youtube.com/playlist?list=PLN65N5QLGG-R6b3XjHqo8ys1aFvZPy_ng
