The risks and opportunities of machine learningJohannes Schmidt-Hieber (34), the youngest professor at the University of Twente, urges caution with respect to the way we use machine learning and artificial intelligence (AI). They bring significant opportunities, but at the same time, he says, AI can never solve all our problems. ‘Expectations regarding the future of AI are overoptimistic. Scientists need to learn how to manage expectations better,’ explains Schmidt-Hieber. The UT professor of mathematics analyses the theoretical characteristics of machine learning and is a member of the expert group on the national AI strategy, which will soon be presented. Schmidt-Hieber will give his inaugural lecture at the University of Twente on Thursday 26 September.Read more
Vital infrastructures in the Netherlands vulnerable to hackersDon’t treat vital infrastructures in the same way one would protect a shop network, for instance, but bind them to a secure circuit that hackers cannot breach. This is one of the central recommendations in a comprehensive report entitled Online Discoverability and Vulnerabilities of ICS/SCADA Devices in the Netherlands, based on research carried out by the University of Twente on behalf of the Scientific Research and Documentation Centre (WODC) of the Dutch Ministry of Justice and Security.Read more
The risks and opportunities of machine learning
Vital infrastructures in the Netherlands vulnerable to hackers
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