ESI symposium 2019

ESI symposium 2019

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TNO, Obeo and Altran manage the complexity of high-tech systems

TNO, Obeo and Altran manage the complexity of high-tech systems Bridging the innovation gap Bringing advanced development methodologies for software engineering to the market During the ESI symposium on 9 April, TNO, Obeo and Altran signed a memorandum of understanding to work together on solutions for this complexity. The theme of the ESI symposium is "Intelligence, the next challenge in system engineering"? More than 450 system engineers from the broad high-tech industry and academic network of ESI attended the symposium.

ESI symposium 2019

Intelligence, the next challenge in system complexity? Date: April 9, 2019: 09h00-18h00 Venue: Auditorium TU/e Eindhoven University of Technology, Eindhoven NL Keynotes: - Professor Edward A. Lee, EECS Department, University of California, Berkeley: Intelligence and Computation, - Henk van Houten, CTO and Head of Research for Royal Philips: Digitalization and AI in support of Value Based Care

Are you a complexitect?

Intense competition, an ongoing battle for talent, new technologies, shifting business models; the high-tech industry faces many extrinsic challenges. A major challenge however, comes from the inside: how to manage (and make good use of) the ever-increasing complexity? High-tech companies need to develop professionals that are able to look and think beyond the borders of a discipline, department or even the company itself.

ESI symposium 2019

Intelligence, the next challenge in system complexity? Date: April 9, 2019: 09h00-18h00 Venue: Auditorium TU/e Eindhoven University of Technology, Eindhoven NL Costs: free of charge Registration: closed, contact the ESI secretariat High-tech systems are integrating more and more intelligence, which increases engineering complexity. At the 2019 ESI Symposium we will discuss the challenges this presents and initial directions for managing, and coping with, the growing complexity.

TNO as an employer

TNO offers you the chance to do groundbreaking work and help customers with innovative, practical and smart solutions. And all that with an attractive benefits package.

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Vacancies at ESI

Student assignments

- Graduation project: Transfer learning in Bayesian belief networks pdf

- Graduation project: Interactive model structure learning in high-tech systems pdf

For TNO vacancies: read more