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De verantwoordelijkheidskloof bij zelfrijdende auto's

The responsibility gap with self-driving cars

Who is responsible when self-driving cars are involved in accidents? Recently a self-driving Volvo in Arizona collided with a pedestrian who did not survive the accident. And in 2016 there was a fatal self-driving Tesla incident. Filippo Santoni de Sio of the TU Delft analyses the ethical issues around self-driving cars.
Tweedeling in klimaatadaptatie voorkomen

Avoiding division in climate adaptation

The government has growing expectations of citizens when it comes to climate adaptation, but not every citizen or neighbourhood is able to live up to these expectations. Neelke Doorn, Professor of Ethics of Water Engineering, is studying ways of avoiding social divides between neighbourhoods.
Zo beïnvloeden digitale stemassistenten jouw leven

This is how digital voice assistants influence your life

Voice assistants, like Alexa or Google Home are taking over households, in the USA anyway, where one in four households owns at least one device. These assistants that promise to make your life so much easier seem harmless, but are they really? TU Delft researcher Olya Kudina is not so sure: ‘They do impact our lives and not only in a good way.’
Veilige datamarktplaatsen voor innovatie

Safe and secure data marketplaces for innovation

Data-driven business models are a key engine of our digitised society. To achieve data-driven innovation, it is important that companies also share data. Examples include sharing data with competitors in order to understand changes in consumer behaviour or with partners to enable smarter deliveries of goods. Various open data marketplaces already exist, but struggle to take off and often fail to progress beyond the pilot phase. With the SafeDEED project, TU Delft collaborates with a consortium of European companies and universities to develop technologies to help these kinds of marketplaces get off the ground and become successful. Mark de Reuver and Tobias Fiebig from the faculty of TPM lead TU Delfts efforts in this three-year project.

Firm ground for cloud datacentre planning

Just like the roads that provide access to them and the dikes that protect them, cloud datacentres have become an essential part of our national, and worldwide, infrastructure. Thanks to capacity planning research by TU Delft master’s student Georgios Andreadis, these datacentres may continue to meet the ever-growing computational demands while reducing their operational costs and increasing their efficiency and environmental sustainability.

Using sound waves to make microchips and detect faults

Researcher Gerard Verbiest works on new chip technology using sound. Together with researchers at ASML, he investigates, among other things, how to apply sound to look inside a chip.

Travelling to a black hole

Black holes are one of the most remarkable phenomena in the universe. But what do they look like? And how can you depict something like this? Researcher Annemieke Verbraeck is developing a new simulation based on the Hollywood film Interstellar.

When Open Source and Open Science go hand-in-hand

With over 200 million projects, Github is the communal storage space of the open source world – and in a sense, the foundation of our digital society. The hosting service for software development and version control is involved in countless pieces of software we use daily. With so many software projects, and so many active developers, GitHub is a gold mine for researchers wanting to understand the open source software world. But getting good information has always been hard. That changed when Georgios Gousios developed GHTorrent, a dataset that opens a window into the inner workings of Github.

Precise proton therapy thanks to uncertainty algorithms

“10 million people a year die from cancer, but many millions survive long term after receiving radiotherapy treatments, so if you can make a computational model that increases effectiveness or decreases side-effects by even just a few per cent, that can help thousands of patients,” says Zoltán Perkó, a specialist in Deep Learning, AI and Computational Physics.