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By providing a single gateway to advanced test environments and expert support, the initiative aims to shorten the journey from innovation to implementation.
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Swedish industry needs more electricity to grow and decarbonise. But the answer goes beyond increasing electricity supply and expanding the grid.
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AI development and adoption are advancing rapidly. The focus is no longer solely on large language models, but on a broad and rapidly expanding range of applications across industry, public services and digital infrastructure. As AI becomes integrated into more organisations and demand for computing power grows, data centres face entirely new requirements – particularly...
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How can advanced digital technology help companies take a more targeted approach to gender equality?
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AI Sweden brings together industry, academia and the public sector to develop shared approaches that enable faster, safer and more sustainable AI adoption.
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Every hour of unplanned production downtime costs industry millions of kronor. What if machines could tell us when they need servicing – and people on the factory floor had the tools to understand why?
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In the aviation industry, decisions can have significant implications for both cost and safety. The project therefore shifted the focus from detailed testing late in development to early analysis and simulation.
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How can AI models be trained when data cannot be collected and stored in a central location?
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If we don’t build security in from the start, cybersecurity risks could slow down the entire energy transition—this project addresses that challenge by developing solutions for safer, more resilient energy systems.