Safe autonomous systems in an open world
Robotics, image recognition, self-driving cars. In recent years, artificial intelligence (AI) has made enormous progress in these areas. Meanwhile, concerns are growing about the safety of such autonomous systems.
Autonomous systems in the real world
TNO develops hybrid AI algorithms and software that enable autonomous systems to operate safely and effectively in an open environment.
Our latest developments
Innovation with AI
Innovating with innovation AI
David Deutsch on the development and application of AI
Georgette Fijneman on the promise of AI for health insurers
Rob de Wijk on the rise of AI in geopolitical context
Contact us
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Frans van Ette
Functie:Director Autonomous Systems & Decision Support-
Standplaats:Den Haag - New Babylon
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Email:Email Frans
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Christopher Brewster
Functie:Senior Scientist at TNO and Professor at Maastricht UniversityChristopher Brewster is a Senior Scientist in the Data Science group and Professor of the Application of Emerging Technologies in the Institute of Data Science, Maastricht University. His research has focussed on the application of Semantic Technologies, Open and Linked Data, interoperability architectures and Data Governance, mostly to the food and agriculture domains.
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Standplaats:Soesterberg - Kampweg
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Email:Email Christopher
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Daniël Worm
Functie:Deputy Research ManagerDaniel Worm is the Deputy Manager of the research group Applied Cryptography & Quantum Algorithms (ACQuA). He is also an expert in Privacy Enhancing Technologies and excels at connecting people, topics, and organisations to achieve societal impact.
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Standplaats:Den Haag - New Babylon
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Email:Email Daniël
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Gu van Rhijn
Functie:Senior Project Manager-
Standplaats:Leiden - Sylviusweg
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Email:Email Gu
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Jack Verhoosel
Functie:Senior Consulting Scientist-
Standplaats:Soesterberg - Kampweg
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Email:Email Jack
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Jan-Pieter Paardekooper
Functie:Scientist Integrator-
Standplaats:Helmond - Automotive Campus
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Email:Email Jan-Pieter
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Jok Tang
Functie:Research Manager Build EnvironmentHi, I'm Jok, working for the Data Science Department, specialized in (1) explainable and trustworthy AI, (2) hybrid AI where we combine data-driven and knowledge-driven models, and (3) learning from human linguistics.
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Standplaats:Den Haag - New Babylon
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Email:Email Jok
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Jos Hegge
Function not known-
Standplaats:Eindhoven - High Tech Campus 25
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Email:Email Jos
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Jurriaan van Diggelen
Function not known-
Standplaats:Soesterberg - Kampweg
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Email:Email Jurriaan
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Kay Koster
Functie:Geoscientist-
Standplaats:Utrecht - Princetonlaan
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Email:Email Kay
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