Future-proof AI systems
How reliable and aligned with their target audience AI systems are, says little about how well prepared for the future they are. We therefore need to look at the entire lifecycle of AI systems.
AI Systems Engineering & Lifecycle Management
TNO is looking for technical and organisational solutions to ensure that AI applications remain reliably deployable for longer.
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Impact Acceleration Challenge: Futureproof AI - Pitching and Ecosystem Building Day
Join us on Thursday, 18 June for the closing event of the Futureproof AI challenge where teams will pitch ideas and solutions for AI that is futureproof: sustainable and sovereign.
