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The University of Amsterdam (UvA) participated in Supercomputing 2024 in Atlanta, where researchers presented their work on using microservices for collaborative model training on the FABRIC testbed. The UvA team, including Alexandros Koufakis, Anestis Dalgitsis, Cees de Laat, and Paola Grosso, demonstrated how vertical federated learning techniques can ensure privacy while training AI models.

The University of Amsterdam (UvA) and KPMG have launched a five-year collaboration under the AI4FinTech programme. With an annual contribution of €100,000 from KPMG, the initiative focuses on applying AI in accountancy and auditing AI itself, strengthening the bridge between academia and industry in financial technology.

Vrije Universiteit Amsterdam announces three new courses. These advanced programmes offer professionals the opportunity to enhance their skills in data analysis, optimisation, and generative artificial intelligence, combining in-depth knowledge with practical applications.

As generative AI advances, language models are playing an increasingly critical role in combating unreliable information. Linguist Chantal van Son from Vrije Universiteit has explored how high-quality datasets and new techniques, such as the PANLI dataset, can enable reliable applications of language models.

In a unique joint inaugural lecture, Professors Folkert Asselbergs, Steven Chamuleau, and Robert Klautz explored the future of cardiovascular care. Their vision focuses on the year 2040, a time when technological innovations, network medicine, and artificial intelligence (AI) will fundamentally transform the roles of cardiologists and cardiac surgeons.

The Netherlands Organisation for Scientific Research (NWO) has opened the Spring 2025 round of its Take-off programme. As of January 6, 2025, researchers can apply for funding for feasibility studies and early-phase projects to bring innovative scientific ideas to the market.

In Spring 2025, the Centrum Wiskunde & Informatica (CWI) will host a research programme themed "Control Theory and Reinforcement Learning: Connections and Challenges." The programme brings together researchers and students to explore the intersections and challenges of these two fields.

Amsterdam UMC is looking for a PhD candidate to contribute to groundbreaking research at the intersection of cardiology, AI, and palliative care. This project focuses on developing an AI model to predict timely palliative care for heart failure and reduce hospital admissions.

CWI and Leiden University Medical Center (LUMC) are collaborating to develop explainable AI techniques for early detection of familial hypercholesterolemia (FH) and to predict heart disease risk in FH patients. This initiative is part of the international FH-EARLY project, set to begin in January 2025, with €7 million in Horizon funding.