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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AiGrunn Conference
TNO and UMCG are the track champions of the Healthcare & Life Sciences track. This track goes after the difficult questions: what the data infrastructure actually has to look like, what reaches the patient, what the evidence says, and what is still unresolved at the research frontier.
TNO AI event 2026
Impact Acceleration Challenge


Time setter story: Saskia Lensink about GPT-NL


Criminals are using AI smarter and smarter; how do we stay one step ahead?


