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Stories of Artificial Intelligence

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Sounds good: treating depression with ultrasound

Tiago Costa is developing a novel targeted neuro-modulation treatment for depression, using focused ultrasound. His goal is to treat only brain areas that need attention, leaving other parts of the brain undisturbed.

Pushing the boundaries of microscopy to understand cells better

Kristin Grußmayer pushes the boundaries of microscopy with new techniques to study the exact location of molecules, and to make extremely fast 3D images of the cell. Her research group will take a look at the early stage of Huntington’s disease on a very small scale, now possible thanks to these advanced microscopy methods: “One of the biggest challenges in the super resolution field is how to work with living cells while making sure they stay happy.”

Adding social awareness to conversational agents

Conversational AI right now almost entirely lacks an ability that’s natural to us humans. It can’t yet tune in to the subtleties of how something is being said and adapt a response to fit. Catharine Oertel from the Interactive Intelligence Group develops conversational agents that are socially aware, allowing them to engage with people in a much more human-like manner
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The human factor in software testing – from curse to blessing

Our lives heavily depend on software, from the cars we drive to the bank cards we use to pay. And if that software is solid – that is, well tested so that few bugs reach the user – then our lives are mostly better for it. "But the reality is, unfortunately, that developers are not always willing or able to test their software, and neither are their executives," explains Andy Zaidman. As a professor of software engineering, he is therefore researching better and more robust ways of testing software, taking into account both the technical and the human factor. The goal: simply better software.
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Human-Centered Multimedia: making remote togetherness possible

After two years of COVID-19 we all know that communicating through a flat screen is exhausting. Since long before that, professor Pablo Cesar has been focussing his research on highly realistic volumetric video conferencing which will allow smooth, natural, communication and collaboration – making remoteness a thing of the past.

Engineering the evolution of the Internet

Many of us don’t realise that the internet is under great pressure. This network of networks is becoming increasingly complex, almost to the point of being unworkable. Human configuration errors are causing more and more major disruptions – far more than even those caused by hackers, for example. Added to that is the pressure of climate change, and extreme weather that can damage networks. The answer lies in making the internet more flexible and robust. Fernando Kuipers, Professor of Internet Science, sees part of the solution coming from a self-regulating internet, in which artificial intelligence (AI) determines the network’s configuration and evolution.
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AI for all students at TU Delft

All bachelor students are being offered the chance to choose the AI minor in Delft this academic year – the first time this has been possible. The minor takes six months and yields 30 credits, and just as importantly, it prepares students for a digital future.

Using artificial intelligence to eye the quantum computer

Imagine if we could find an alternative to plastic by using a quantum computer and artificial intelligence, to help us decide on all the best ideas that chemists have?
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Deep learning for complex networks

From image recognition to medical diagnostics, Machine Learning has a huge impact. Yet Elvin Isufi adds an extra dimension, enabling its analyzing power to complex networks such as recommender systems, and more down-to-earth: water management.
Algorithms: can you trust them or not?

Algorithms: can you trust them or not? - TU Delft Story - Technology, Policy & Management

“Algorithms do not discriminate inherently; the human factor is key – what data we put in, at what point we find an algorithm good enough, when we intervene, and how easy we make it to lodge objections to it.” Assistant professor Stefan Buijsman is exploring how we can use artificial intelligence responsibly. His attitude is positive: “I think that good interaction between AI and people can make our word fairer, cleaner, healthier, and safer.”

Synthetic data for a clean digital future

The synthetic data of Lydia Chen makes our digital future better and cleaner: more privacy for users, and more utility for organisations.

Inverse modelling – for improved medical imaging and much more

Hanne Kekkonen specialises in the mathematics used to solve inverse problems. Applications include medical imaging, climate change, the evolution of competing languages, materials science and many more.
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