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The open-access Journal of the American Chemical Society (JACS Au) has just published an invited perspective by Dr. Saer Samanipour and his team on the daunting challenge of mapping all the chemicals around us. Samanipour, an Assistant Professor at the Van ‘t Hoff Institute for Molecular Sciences of the University of Amsterdam (UvA), takes inventory of the available science and concludes that currently a real pro-active chemical management is not feasible. To really get a grip on the vast and expanding chemical universe, Samanipour advocates the use of machine learning and AI, complementing existing strategies for detecting and identifying all molecules we are exposed to.

AI can take over many of our tasks, creating endless possibilities. But how can we ensure that AI models are understandable and explainable to humans? In a new, interdisciplinary research project, UvA researchers are developing a method for this. ‘We accept more easily what makes sense to us – and that can lead us to trust systems that are not trustworthy.’

The Council of the European Union has adopted an amendment to the regulation of the European High-Performance Computing (EuroHPC) joint undertaking. This amendment expands its objectives to facilitate the development and operation of 'AI factories'. This will make the EU's supercomputing capacity further available for innovative European start-ups and SMEs to train their AI models and develop their projects.

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The Data Commons Collective initiative is exploring the societal benefits, power, and limits of data commons, treating data as a new digital resource that serves the community.